Index (LINE Solver Java API)

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A

a - Variable in class jline.api.mdd.MddEvent: Station (or place) the event departs from, 0-based.
a - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Heavy-usage parameter a = 1 - rho at the N = 1 scale.
a - Variable in class jline.lib.lti.iltcme.CmeEntry
a - Variable in class jline.solvers.fluid.petri.PetriImmediate.Row: PIN: the pinned coordinate.
A - Variable in class jline.api.cache.CacheSojourn.Clock
A - Variable in class jline.api.fj.FJ_quorum.StepCDF
A - Variable in class jline.api.pfqn.nc.Pfqn_comom.GenMatrixResult
A - Variable in class jline.api.qsys.QsysBmapM1Result: A = A0 + A1 + sum_k Bk[k], the phase process of the randomized chain.
A - Variable in class jline.api.qsys.QsysTandemUbResult: Coefficient A of the test function gamma, fixed by Lemma 4.
A - Variable in class jline.lib.butools.dph.MGFromMoments.MGRepresentation
A - Variable in class jline.lib.butools.fitting.PHFromTrace.PHFitResult
A - Variable in class jline.lib.butools.ph.MERepresentation
A - Variable in class jline.lib.butools.ph.PH2From3Moments.PH2Representation
A - Variable in class jline.lib.butools.ph.PH3Representation
A - Variable in class jline.lib.butools.ph.PHRepresentation
A - Variable in class jline.solvers.fluid.petri.PetriConstraints: (nrows x nstate) capacity rows.
A - Variable in class jline.solvers.mam.handlers.Mam_bgchain_env.Env: Lumped generator, (me x me).
A - Variable in class jline.solvers.SolverAvgHandles: Arrival rate handles [stations x classes]
A - Variable in class jline.solvers.uq.SolverUQ.PosteriorTableRow
A_1 - Variable in class jline.api.mam.Qbd_bmapbmap1.QbdBmapResult
A_flow - Variable in class jline.api.lqn.LqnBalanceEquations.Result: (ncalls+1, nidx+1) call-to-source incidence weighted by y(c), 1-based.
A_host - Variable in class jline.api.lqn.LqnBalanceEquations.Result: (nhosts+1, nidx+1) host-to-activity incidence weighted by D(a), 1-based.
A_jump - Variable in class jline.lib.fjcodes.ComputeT.ComputeTResult
A_little - Variable in class jline.api.lqn.LqnBalanceEquations.Result: (ntasks+1, ncalls+1) 1 where call c is a caller class of task t, both axes 1-BASED over the local task and call index, with row and column 0 unused.
a0 - Variable in class jline.api.infer.InferLqnOptions
a0 - Variable in class jline.api.infer.InferLqnResult
A0 - Variable in class jline.api.mam.Qbd_bmapbmap1.QbdBmapResult
A0 - Variable in class jline.api.qsys.QsysBmapM1Result: Randomized block A0 = (mu/q)I: a service completion, level down by one.
a0IdcFun - Variable in class jline.api.npfqn.Npfqn_traffic_idc
A1 - Variable in class jline.api.mam.Qbd_bmapbmap1.QbdBmapResult
A1 - Variable in class jline.api.qsys.QsysBmapM1Result: Randomized block A1 = (1/q)(D0 - mu*I) + I: level unchanged.
ab_amva(Matrix, Matrix, Matrix, Matrix, List<SchedStrategy>, boolean, String) - Static method in class jline.api.pfqn.mva.Pfqn_ab_amva
ab_linearizer(int, int, Matrix, Matrix, List<SchedStrategy>, Matrix, Matrix, boolean, String) - Static method in class jline.api.pfqn.mva.Pfqn_ab_amva
ABA - Static variable in class jline.api.pfqn.Pfqn_mwrbb
abandonRate - Variable in class jline.api.qsys.QsysAbandonResult: Rate of abandoning customers, lambda(1-P_loss)P(A).
abandonRate - Variable in class jline.api.qsys.QsysFluidAbandonResult: lambda - throughput.
abandonRates - Variable in class jline.api.qsys.QsysAbandonResult: delta_j, the abandonment rate of the customer jth from the end of the queue.
abatewhitt - Class in jline.lib.lti
absEq() - Method in class jline.util.matrix.BaseMatrix: Replaces each value in the matrix with its absolute value, in-place.
absEq() - Method in class jline.util.matrix.DenseMatrix
absEq() - Method in class jline.util.matrix.Matrix
absEq() - Method in class jline.util.matrix.SparseMatrix: Replaces each value in the matrix with its absolute value, in-place.
absorb - Variable in class jline.solvers.fluid.handlers.ImmediateElimination.EliminationResult: [nStates x nStates] projector for the initial condition: identity on the timed rows, the absorption distribution on the immediate ones.
absorbed - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: True if the support emptied or became absorbing.
absorbingStations - Variable in class jline.lang.Network.RoutingErgodicityResult
absorbingStations - Variable in class jline.lang.RoutingErgodicity.ReducibilityInfo: Names of the absorbing stations, the Sink excluded.
AC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.TraceData
aCaT() - Method in class jline.solvers.NetworkSolver
acceptCI - Variable in class jline.io.Ret.lossnMCI
accessProb - Variable in class jline.lang.nodes.Cache
accost - Variable in class jline.lang.nodeparam.CacheNodeParam: Access cost matrix for cache items by class [items x classes x servers]
accurateODESolver - Variable in class jline.solvers.SolverOptions.ODESolvers: Accurate integrator for non-stiff problems
accurateStiffODESolver - Variable in class jline.solvers.SolverOptions.ODESolvers: Accurate integrator for stiff problems
acf - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
acf(int) - Method in class jline.lang.processes.Markovian: Property alias for getACF
ACF - Variable in class jline.api.trace.Mtrace_summary.MtraceSummary
acfCoeff - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.AcfitEvalResult
AcfitEvalResult(double, double[]) - Constructor for class jline.lib.kpctoolbox.kpcfit.KPCFit.AcfitEvalResult
AcfitResult(List<double[]>, List<double[]>, double[]) - Constructor for class jline.lib.kpctoolbox.kpcfit.KPCFit.AcfitResult
ACFull - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.TraceData
ACLags - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.TraceData
act - Variable in class jline.lang.workflow.Workflow.SPNode: Activity index of a leaf, -1 otherwise.
aCT() - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable().
aCT(boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(boolean keepDisabled).
aCT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
aCT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
aCT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(SolverAvgHandles avgHandles).
aCT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(SolverAvgHandles avgHandles, boolean keepDisabled).
actIdx(int) - Method in class jline.lang.layered.LayeredNetworkStruct: Absolute index of activity a, a in 0..nacts-1.
actIdxOf - Variable in class jline.api.lqn.LqnPh.EntryWorkflow: Workflow activity index of each LQN activity, -1 when absent.
ActionInfo - Class in jline.solvers.ag.handlers: Information about an action in an RCAT model.
ActionInfo(int, int, int, int, double) - Constructor for class jline.solvers.ag.handlers.ActionInfo
ActionInfo(int, int, int, int, double, boolean) - Constructor for class jline.solvers.ag.handlers.ActionInfo
ActionInfo(int, int, int, int, double, boolean, boolean, DiscreteDistribution) - Constructor for class jline.solvers.ag.handlers.ActionInfo
actionMap - Variable in class jline.io.Ret.snToAG
actionMap - Variable in class jline.solvers.ag.handlers.RCATModel
ActionMapEntry(int, int, int, int, double, boolean) - Constructor for class jline.io.Ret.ActionMapEntry
actionRates - Variable in class jline.solvers.ag.AGResult: Converged reversed rates, one per synchronizing action.
actionRates - Variable in class jline.solvers.mam.MAMResult
active - Variable in class jline.lang.FJSync
active - Variable in class jline.lang.GlobalSync
active - Variable in class jline.lang.Sync
active - Variable in class jline.solvers.fluid.petri.PetriImmediate: Which of them are currently firing.
activeDrift(double[]) - Method in class jline.lib.rmf.CacheRMF: The drift the transient follows: CacheRMF.driftGraph(double[]) under a declared access graph, else CacheRMF.drift(double[]), i.e.
activeSymbols() - Method in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult: Symbols that actually occur in the generator.
activities - Variable in class jline.lang.layered.LayeredNetwork
activities - Variable in class jline.lang.layered.Task
Activity - Class in jline.lang.layered: An Activity represents an individual processing step or service operation within a Task in a layered queueing network.
Activity(LayeredNetwork, String) - Constructor for class jline.lang.layered.Activity
Activity(LayeredNetwork, String, Distribution) - Constructor for class jline.lang.layered.Activity
Activity(LayeredNetwork, String, Distribution, String) - Constructor for class jline.lang.layered.Activity
Activity(LayeredNetwork, String, Distribution, String, String) - Constructor for class jline.lang.layered.Activity
ACTIVITY - Enum constant in enum jline.io.ModelVisualizer.NodeType
ACTIVITY - Static variable in class jline.lang.layered.LayeredNetworkElement
Activity.CallGroup - Class in jline.lang.layered: A set of call targets dispatched as one group by a routing strategy.
ActivityPrecedence - Class in jline.lang.layered: A class modeling precedence relationships among activities
ActivityPrecedence(List<String>, List<String>) - Constructor for class jline.lang.layered.ActivityPrecedence: Constructs an ActivityPrecedence with the specified parameters, assuming PRE_SEQ as preType and POST_SEQ as postType.
ActivityPrecedence(List<String>, List<String>, String) - Constructor for class jline.lang.layered.ActivityPrecedence: Constructs an ActivityPrecedence with the specified parameters, assuming POST_SEQ as postType.
ActivityPrecedence(List<String>, List<String>, String, String) - Constructor for class jline.lang.layered.ActivityPrecedence: Constructs an ActivityPrecedence with the specified parameters, without preParams and postParams.
ActivityPrecedence(List<String>, List<String>, String, String, Matrix) - Constructor for class jline.lang.layered.ActivityPrecedence: Constructs an ActivityPrecedence with the specified parameters, without postParams.
ActivityPrecedence(List<String>, List<String>, String, String, Matrix, Matrix) - Constructor for class jline.lang.layered.ActivityPrecedence: Constructs an ActivityPrecedence with the specified parameters.
ActivityPrecedenceType - Class in jline.lang.constant: Constants for defining activity precedences in LayeredNetwork models
ActivityPrecedenceType() - Constructor for class jline.lang.constant.ActivityPrecedenceType
activityProcessorName(LayeredNetwork, String) - Static method in class jline.opt.LqnAdapter: Name of the processor an activity ultimately runs on (Activity -> parent Task -> deployed Processor), or null if the chain is incomplete.
ActivityThinkTime - Class in jline.opt.variables: Optimize the activity-level think time of an LQN Activity (continuous).
ActivityThinkTime(String, double, double) - Constructor for class jline.opt.variables.ActivityThinkTime
ActivityThinkTime(String, double, double, String) - Constructor for class jline.opt.variables.ActivityThinkTime
ActivityThinkTime(Activity, double, double) - Constructor for class jline.opt.variables.ActivityThinkTime
actOf(int) - Method in class jline.lang.layered.LayeredNetworkStruct: Activity-local index of an absolute index, or -1 if it is not an activity.
actphase - Variable in class jline.lang.layered.LayeredNetworkStruct
actposttype - Variable in class jline.lang.layered.LayeredNetworkStruct
actpretype - Variable in class jline.lang.layered.LayeredNetworkStruct
actquorum - Variable in class jline.lang.layered.LayeredNetworkStruct
actsof - Variable in class jline.lang.layered.LayeredNetworkStruct
actthink - Variable in class jline.lang.layered.LayeredNetworkStruct: Deprecated.
actthink_mean - Variable in class jline.lang.layered.LayeredNetworkStruct
actthink_params - Variable in class jline.lang.layered.LayeredNetworkStruct
actthink_proc - Variable in class jline.lang.layered.LayeredNetworkStruct
actthink_scv - Variable in class jline.lang.layered.LayeredNetworkStruct
actthink_type - Variable in class jline.lang.layered.LayeredNetworkStruct
actualdelayedhitprob - Variable in class jline.lang.nodeparam.CacheNodeParam: Actual delayed-hit fractions computed during analysis (retrieval system) [1 x classes]
actualDelayedHitProb - Variable in class jline.lang.sections.CacheClassSwitcher
actualDelayedHitQLen - Variable in class jline.lang.sections.CacheClassSwitcher: [1 x items] mean secondary requests waiting on the in-flight fetch of each item
actualDelayedHitQLenFull - Variable in class jline.lang.sections.CacheClassSwitcher: [1 x items] as above, including the request that triggered the fetch
actualhitprob - Variable in class jline.lang.nodeparam.CacheNodeParam: Actual hit probabilities computed during analysis [items x classes]
actualHitProb - Variable in class jline.lang.sections.CacheClassSwitcher
actualhitproblist - Variable in class jline.lang.nodeparam.CacheNodeParam: Actual per-list (per-level) hit fractions computed during analysis [classes x lists]
actualHitProbList - Variable in class jline.lang.sections.CacheClassSwitcher
actualItemProb - Variable in class jline.lang.sections.CacheClassSwitcher
actuallistcost - Variable in class jline.lang.nodeparam.CacheNodeParam: Mean storage cost held by each list computed during analysis [1 x lists]
actualListCost - Variable in class jline.lang.sections.CacheClassSwitcher
actualmissprob - Variable in class jline.lang.nodeparam.CacheNodeParam: Actual miss probabilities computed during analysis [items x classes]
actualMissProb - Variable in class jline.lang.sections.CacheClassSwitcher
actualresidt - Variable in class jline.lang.nodeparam.CacheNodeParam: Actual expected latency computed during analysis [items x classes]
actualResidT - Variable in class jline.lang.sections.CacheClassSwitcher
actweightActs - Variable in class jline.api.lqn.LqnRefRoutes.Group: Per entry, the activity indices reachable from it.
actweightW - Variable in class jline.api.lqn.LqnRefRoutes.Group: Per entry, the mean executions of each of those activities per invocation.
acyclicDPHFromMG(double[], Matrix) - Static method in class jline.lib.butools.dph.AcyclicDPHFromMG
acyclicDPHFromMG(double[], Matrix, double) - Static method in class jline.lib.butools.dph.AcyclicDPHFromMG
acyclicDPHFromMG(Matrix, Matrix) - Static method in class jline.lib.butools.dph.AcyclicDPHFromMG
acyclicDPHFromMG(Matrix, Matrix, double) - Static method in class jline.lib.butools.dph.AcyclicDPHFromMG: Transforms a matrix-geometric representation to an acyclic DPH representation of the same size, if possible.
AcyclicDPHFromMG - Class in jline.lib.butools.dph
acyclicPHFromME(Matrix, Matrix) - Static method in class jline.lib.butools.ph.AcyclicPHFromME
acyclicPHFromME(Matrix, Matrix, int) - Static method in class jline.lib.butools.ph.AcyclicPHFromME
acyclicPHFromME(Matrix, Matrix, int, double) - Static method in class jline.lib.butools.ph.AcyclicPHFromME: Transforms an arbitrary matrix-exponential representation to an acyclic phase-type representation.
AcyclicPHFromME - Class in jline.lib.butools.ph
AdaPartSampler - Class in jline.lib.perm: Sampling method to approximate the permanent using Adaptive Partitioning (AdaPart).
AdaPartSampler(Matrix) - Constructor for class jline.lib.perm.AdaPartSampler
AdaPartSampler(Matrix, int, long, int, String, boolean) - Constructor for class jline.lib.perm.AdaPartSampler
add(double) - Method in class jline.util.matrix.Matrix: Adds a scalar multiple of the all-ones matrix to this matrix: this + alpha * 1.
add(double, Matrix) - Method in class jline.util.matrix.Matrix: Adds alpha * matrix to this matrix.
add(double, DMatrix, double, DMatrix, DMatrix) - Method in class jline.util.matrix.DenseMatrix: Performs the operation: output = alpha*A + beta*B.
add(double, DMatrix, double, DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix: Performs the operation: output = alpha*A + beta*B.
add(int, int, double) - Method in class jline.api.mdd.MddLocalMatrix.Builder: Accumulate value into entry (i,j).
add(String, String, String, double) - Method in class jline.opt.results.SensitivityData
add(UnaryOperator<Apcomplex>...) - Static method in class jline.lib.lti.function_wrapper
add(FJ_quorum.StepCDF, FJ_quorum.StepCDF) - Static method in class jline.api.fj.FJ_quorum: Pointwise sum of two step functions on the union of their time grids.
add(ComplexMatrix) - Method in class jline.util.matrix.ComplexMatrix: Adds another complex matrix to this one, returning a new matrix.
add(Matrix) - Method in class jline.util.matrix.Matrix: Adds another matrix to this matrix: this + matrix.
add(SymExpr) - Method in class jline.util.symbolic.SymExpr
addActive(ModeEvent) - Method in class jline.lang.GlobalSync
addActivities(Integer[]) - Method in class jline.lang.NetworkAttribute
addActivity(String, double) - Method in class jline.lang.workflow.Workflow
addActivity(String, Distribution) - Method in class jline.lang.workflow.Workflow
addActivity(Activity) - Method in class jline.lang.layered.Task
addCalls(Integer[]) - Method in class jline.lang.NetworkAttribute
addClass(JobClass) - Method in class jline.lang.Chain: Adds a job class to this chain.
addClass(JobClass) - Method in class jline.lang.RoutingMatrix
addCompatibleClass(JobClass) - Method in class jline.lang.constant.ServerType: Adds a job class to the list of classes that can be served by this server type.
addConnection(JobClass, JobClass, Node, Node, double) - Method in class jline.lang.RoutingMatrix
addConnection(Node, Node) - Method in class jline.lang.RoutingMatrix
addConnection(Node, Node, double) - Method in class jline.lang.RoutingMatrix
addConnection(Node, Node, JobClass) - Method in class jline.lang.RoutingMatrix
addConnection(Node, Node, JobClass, double) - Method in class jline.lang.RoutingMatrix
addConnection(Node, Node, JobClass, JobClass) - Method in class jline.lang.RoutingMatrix
addConnection(Node, Node, JobClass, JobClass, double) - Method in class jline.lang.RoutingMatrix
addConstraint(List<? extends LayeredNetworkElement>, double[], double) - Method in class jline.lang.layered.LayeredNetworkElement: Appends one admission constraint row naming its operands, so the meaning does not depend on declaration order:
addConstraint(Constraint) - Method in class jline.opt.OptimizationProblem
addConstraint(LinearConstraint) - Method in class jline.api.mapqn.Mapqn_lpmodel: Add a constraint to the model
addConstraintByName(List<String>, double[], double) - Method in class jline.lang.layered.LayeredNetworkElement: Name-based form of LayeredNetworkElement.addConstraint(List, double[], double), for operands not yet held as handles.
addEdge(int, int, double) - Method in class jline.util.graph.DirectedGraph
addEdge(int, int, double) - Method in class jline.util.graph.UndirectedGraph
addEntries(Integer[]) - Method in class jline.lang.NetworkAttribute
addEntry(Entry) - Method in class jline.lang.layered.Task
addEq(double) - Method in class jline.util.matrix.Matrix: Adds a scalar value to each element of the matrix in-place.
addEq(double, Matrix) - Method in class jline.util.matrix.Matrix: Adds alpha * matrix to this matrix in-place: this += alpha * matrix.
addEq(Matrix) - Method in class jline.util.matrix.Matrix: Adds another matrix to this matrix in-place: this += matrix.
addEventHandler(EventHandler, double, double, int) - Method in class odesolver.LSODA
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class odesolver.LSODA
addGlobalResult(String, Map<String, Object>) - Static method in class jline.bench.cqn.CQNResultsFormatter: Add a benchmark result to the global accumulator
addGlobalResult(String, Map<String, Object>) - Static method in class jline.bench.mqn.MQNResultsFormatter
addGlobalResult(String, Map<String, Object>) - Static method in class jline.bench.oqn.OQNResultsFormatter
addHosts(Integer[]) - Method in class jline.lang.NetworkAttribute
addItemSet(ItemSet) - Method in class jline.lang.Network: Adds an item set to the network model.
addJobClass(JobClass) - Method in class jline.lang.Network: Adds a job class to the network model.
addLink(int, int) - Method in class jline.lang.Network
addLink(Node, Node) - Method in class jline.lang.Network
addLinks(Node[][]) - Method in class jline.lang.Network
addMatrices(double, DMatrix, double, DMatrix, DMatrix) - Method in class jline.util.matrix.BaseMatrix: Performs the operation: output = alpha*A + beta*B.
addMatrices(double, DMatrix, double, DMatrix, DMatrix) - Method in class jline.util.matrix.DenseMatrix
addMatrices(double, DMatrix, double, DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix
addMatricesInPlace(double, DMatrix, double, DMatrix, DMatrix) - Method in class jline.util.matrix.DenseMatrix
addMatricesInPlace(double, DMatrix, double, DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix
addMatricesInPlaceStatic(double, DMatrix, double, DMatrix, DMatrix) - Static method in class jline.util.matrix.DenseMatrix
addMatricesInPlaceStatic(double, DMatrix, double, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
addMatricesStatic(double, DMatrix, double, DMatrix, DMatrix) - Static method in class jline.util.matrix.DenseMatrix
addMatricesStatic(double, DMatrix, double, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
addMode(String) - Method in class jline.lang.nodes.Transition
addMode(Mode) - Method in class jline.lang.nodes.Transition
addNode(Node) - Method in class jline.lang.Network: Adds a node to this network.
addNode(Node) - Method in class jline.lang.RoutingMatrix
addNodeBreakdown(Network, String, Markovian, Markovian) - Method in class jline.lang.Environment: Adds a breakdown stage for a specific node in the network.
addNodeBreakdown(Network, String, Markovian, Markovian, String) - Method in class jline.lang.Environment: Adds a breakdown with a named reset policy.
addNodeBreakdown(Network, String, Markovian, Markovian, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment: Adds a breakdown stage for a specific node with a custom reset policy.
addNodeBreakdown(Network, Node, Markovian, Markovian) - Method in class jline.lang.Environment: Adds a breakdown stage for a specific node in the network.
addNodeBreakdown(Network, Node, Markovian, Markovian, String) - Method in class jline.lang.Environment: Adds a breakdown with a named reset policy.
addNodeBreakdown(Network, Node, Markovian, Markovian, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment: Adds a breakdown stage for a specific node with a custom reset policy.
addNodeFailureRepair(Network, String, Markovian, Markovian, Markovian) - Method in class jline.lang.Environment: Convenience method to add both breakdown and repair for a node.
addNodeFailureRepair(Network, String, Markovian, Markovian, Markovian, String, String) - Method in class jline.lang.Environment: Adds both breakdown and repair for a node with named reset policies.
addNodeFailureRepair(Network, String, Markovian, Markovian, Markovian, Environment.ResetQueueLengthsFunction, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment: Adds both breakdown and repair for a node with custom reset policies.
addNodeFailureRepair(Network, Node, Markovian, Markovian, Markovian) - Method in class jline.lang.Environment: Convenience method to add both breakdown and repair for a node.
addNodeFailureRepair(Network, Node, Markovian, Markovian, Markovian, String, String) - Method in class jline.lang.Environment: Adds both breakdown and repair for a node with named reset policies.
addNodeFailureRepair(Network, Node, Markovian, Markovian, Markovian, Environment.ResetQueueLengthsFunction, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment: Adds both breakdown and repair for a node with custom reset policies.
addNodeRepair(String, Markovian) - Method in class jline.lang.Environment: Adds a repair transition from DOWN to UP stage for a previously added breakdown.
addNodeRepair(String, Markovian, String) - Method in class jline.lang.Environment: Adds a repair transition with a named reset policy.
addNodeRepair(String, Markovian, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment: Adds a repair transition with a custom reset policy.
addNodeRepair(Node, Markovian) - Method in class jline.lang.Environment: Adds a repair transition from DOWN to UP stage for a previously added breakdown.
addNodeRepair(Node, Markovian, String) - Method in class jline.lang.Environment: Adds a repair transition with a named reset policy.
addNodeRepair(Node, Markovian, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment: Adds a repair transition with a custom reset policy.
addPassive(ModeEvent) - Method in class jline.lang.GlobalSync
addPrecedence(List<ActivityPrecedence>) - Method in class jline.lang.layered.Task
addPrecedence(ActivityPrecedence) - Method in class jline.lang.layered.Task
addPrecedence(ActivityPrecedence) - Method in class jline.lang.workflow.Workflow
addPrecedence(ActivityPrecedence[]) - Method in class jline.lang.layered.Task
addPrecedence(ActivityPrecedence[]) - Method in class jline.lang.workflow.Workflow
addRegion(List<Node>) - Method in class jline.lang.Network: Adds a finite capacity region to this network.
addResult(String, Map<String, Object>) - Method in class jline.bench.cqn.CQNResultsFormatter.CQNResultsAccumulator
addResult(String, Map<String, Object>) - Method in class jline.bench.mqn.MQNResultsFormatter.MQNResultsAccumulator
addResult(String, Map<String, Object>) - Method in class jline.bench.oqn.OQNResultsFormatter.OQNResultsAccumulator
addRetrievalRoutingEntry(JobClass, JobClass, Node, Node, double, boolean) - Method in class jline.lang.nodes.Cache: Register a deferred routing edge for an auto-generated retrieval class.
addSamples(SampledMetric) - Method in class jline.inference.lang.ParamEstimator
addScenario(Network, double) - Method in class jline.opt.OptimizationProblem
addServerType(ServerType) - Method in class jline.lang.layered.LayeredNetworkElement: Declares one pool of serverType.getNumOfServers() identical servers, each running at serverType.getRate(), eligible only for the operands the ServerType names.
addServerType(ServerType) - Method in class jline.lang.nodes.Queue: Adds a server type to this queue for heterogeneous multiserver configuration.
addStage(int, String, String, Model) - Method in class jline.lang.Environment: Adds a network model to a specific stage of the environment.
addStatic(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class jline.util.matrix.DenseMatrix: Performs element-wise addition of two dense matrices: output = A + B.
addStation(Station) - Method in class jline.lang.Chain: Adds a station to this chain.
addStepHandler(StepHandler) - Method in class odesolver.LSODA
addSubProblem(String, List<DecisionVariable>, List<String>) - Method in class jline.opt.decomposition.DecompositionWorkflow
addTask(Task) - Method in class jline.lang.layered.Host
addTasks(Integer[]) - Method in class jline.lang.NetworkAttribute
addTerm(int, double) - Method in class jline.api.mapqn.Mapqn_lpmodel.LinearConstraintBuilder
addTerm(String, double) - Method in class jline.api.mapqn.Mapqn_lpmodel.LinearConstraintBuilder
addTransition(int, int, Markovian) - Method in class jline.lang.Environment: Adds a transition between two stages with default reset function (identity).
addTransition(int, int, Markovian, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment: Adds a transition between two stages with a custom reset function.
addTransition(int, int, Markovian, Environment.ResetQueueLengthsFunction, Environment.ResetEnvRatesFunction) - Method in class jline.lang.Environment: Adds a transition between two stages with custom reset functions for both queue lengths and environment rates.
addValue(int[], double) - Method in class jline.util.PrecomputedTableFunction: Adds a pre-computed value for a specific state given as an array.
addValue(Matrix, double) - Method in class jline.lang.reward.TabulatedRewardFunction: Adds a pre-computed reward value for a specific aggregated state.
addValue(Matrix, double) - Method in class jline.util.PrecomputedTableFunction: Adds a pre-computed value for a specific state.
addValue(Matrix, double[]) - Method in class jline.util.PrecomputedTableFunction: Adds a pre-computed per-class value for a specific state, for a handle that returns one entry per class (as the flow-equivalent-server aggregation does, beta_r(n) = X_r(n)|n|/n_r).
addVariable(String) - Method in class jline.api.mapqn.Mapqn_lpmodel: Register a variable and return its index
addVariable(DecisionVariable) - Method in class jline.opt.OptimizationProblem
Adj - Variable in class jline.lang.state.State.StateSpaceGeneratorResult
AdvancedExamples - Class in jline.examples.java: Runs all advanced examples by invoking their main methods.
AdvancedExamples() - Constructor for class jline.examples.java.AdvancedExamples
aeq - Variable in class jline.api.mapqn.Mapqn_qrf_noblo_mmi.ConstraintSet
afterEvent(NetworkStruct, int, Matrix, EventType, int, boolean) - Static method in class jline.lang.state.State
afterEvent(NetworkStruct, int, Matrix, EventType, int, boolean, EventCache) - Static method in class jline.lang.state.State
afterEvent(NetworkStruct, int, Matrix, EventType, int, boolean, EventCache, AfterEventContext) - Static method in class jline.lang.state.State
afterEvent(NetworkStruct, int, Matrix, EventType, int, boolean, EventCache, AfterEventContext, boolean) - Static method in class jline.lang.state.State: noPromote: when true, a DEP at an FCFS-family station does not promote a waiting job into the vacated server.
AfterEventCache - Class in jline.lang.state
AfterEventCache() - Constructor for class jline.lang.state.AfterEventCache
AfterEventContext - Class in jline.lang.state: Loop-invariant context precomputed by State.afterEventInit(jline.lang.NetworkStruct) for State.afterEvent(jline.lang.NetworkStruct, int, jline.util.matrix.Matrix, jline.lang.constant.EventType, int, boolean).
AfterEventContext(Matrix, int, Map<Station, SerializableFunction<Matrix, Matrix>>, Map<Integer, Matrix>) - Constructor for class jline.lang.state.AfterEventContext
AfterEventFork - Class in jline.lang.state: Event handler for stateful Fork nodes (FJ tag-augmented structs only, see ModelAdapter.fjtag).
AfterEventFork() - Constructor for class jline.lang.state.AfterEventFork
afterEventHashed(NetworkStruct, int, double, EventType, int) - Static method in class jline.lang.state.State: THE INPUT IS A HASH, SO THE INPUT MUST BE A STATE OF THE CHAIN.
afterEventHashedFromSpace(NetworkStruct, int, Matrix, EventType, int) - Static method in class jline.lang.state.State: afterEventHashed with a RAW input state instead of a hash: the successors are still hashed, but the predecessor need not be a state of the chain.
afterEventHashedOrAdd(NetworkStruct, int, int, EventType, int) - Static method in class jline.lang.state.State: Combination of afterEventHashed with automatic state space extension Migrated from MATLAB afterEventHashedOrAdd.m
afterEventHashedOrAddResult(Matrix, Matrix, Matrix, NetworkStruct) - Constructor for class jline.io.Ret.afterEventHashedOrAddResult
afterEventInit(NetworkStruct) - Static method in class jline.lang.state.State: Precomputes the loop-invariant setup of afterEvent so that hot callers (e.g., the Solver_ssa Gillespie loop) avoid re-deriving it on every event evaluation.
AfterEventJoin - Class in jline.lang.state: Event handler for Join stations on FJ tag-augmented structs (see ModelAdapter.fjtag).
AfterEventJoin() - Constructor for class jline.lang.state.AfterEventJoin
AfterEventRouter - Class in jline.lang.state
AfterEventRouter() - Constructor for class jline.lang.state.AfterEventRouter
AfterEventStation - Class in jline.lang.state
AfterEventStation() - Constructor for class jline.lang.state.AfterEventStation
AfterEventStation.PasSwap - Class in jline.lang.state: Result of a pass-and-swap transition: the new ordered list and the departing class.
afterEventStationPas(NetworkStruct, int, int, Matrix, EventType, int, int, int, boolean) - Static method in class jline.lang.state.AfterEventStation: Event handler for pass-and-swap (PAS) / order-independent stations.
afterEventStationPool(NetworkStruct, int, int, Matrix, EventType, int, int, int, boolean) - Static method in class jline.lang.state.AfterEventStationPool: Successors of EVENT for class JOBCLASS at pooled station IND (0-based).
AfterEventStationPool - Class in jline.lang.state: Event handler and state enumerator of a station with heterogeneous server pools, as rewritten for the CTMC by jline.solvers.ctmc.handlers.Solver_ctmc_pools.
AfterEventStationReply - Class in jline.lang.state: Arrival of a REPLY signal class at the FCFS station that is holding a server for the matching synchronous call.
AfterEventTransition - Class in jline.lang.state
AfterEventTransition() - Constructor for class jline.lang.state.AfterEventTransition
afterFJEvent(NetworkStruct, FJSync, List<Matrix>, boolean, EventCache) - Static method in class jline.lang.state.AfterFJEvent
AfterFJEvent - Class in jline.lang.state: Fork firing synchronization handler (FJ tag-augmented structs, see ModelAdapter.fjtag).
AfterFJEvent() - Constructor for class jline.lang.state.AfterFJEvent
AfterFJEvent.AfterFJEventResult - Class in jline.lang.state
AfterFJEventResult(List<List<Matrix>>, Matrix, Matrix) - Constructor for class jline.lang.state.AfterFJEvent.AfterFJEventResult
afterGlobalEvent(NetworkStruct, int, List<Matrix>, GlobalSync, boolean) - Static method in class jline.lang.state.AfterGlobalEvent: Processes a global event in a Stochastic Petri Net (SPN) and computes the resulting state space.
AfterGlobalEvent - Class in jline.lang.state
AfterGlobalEvent() - Constructor for class jline.lang.state.AfterGlobalEvent
AfterGlobalEvent.AfterGlobalEventResult - Class in jline.lang.state: Result container for global event processing in Stochastic Petri Net models.
AfterGlobalEventResult(List<Matrix>, Matrix, Matrix, Matrix) - Constructor for class jline.lang.state.AfterGlobalEvent.AfterGlobalEventResult: Constructs a new result container for global event processing.
AG - Class in jline.solvers.ag: AG is an alias for SolverAG (RCAT agent-decomposition solver).
AG - Enum constant in enum jline.lang.constant.SolverType
AG(Network) - Constructor for class jline.solvers.ag.AG
AG(Network, Object...) - Constructor for class jline.solvers.ag.AG
AG(Network, String) - Constructor for class jline.solvers.ag.AG
AG(Network, SolverOptions) - Constructor for class jline.solvers.ag.AG
ag_closed_network() - Static method in class jline.examples.java.advanced.AgentModelExamples: Closed network with two PS queues.
ag_gnetwork() - Static method in class jline.examples.java.advanced.AgentModelExamples: G-network (Gelenbe network) with negative customers.
ag_jackson_network() - Static method in class jline.examples.java.advanced.AgentModelExamples: Jackson network with probabilistic routing.
ag_multiclass_closed() - Static method in class jline.examples.java.advanced.AgentModelExamples: Multiclass closed network.
ag_tandem_open() - Static method in class jline.examples.java.advanced.AgentModelExamples: Open tandem queue (M/M/1 -> M/M/1) example.
ag_tandem_phasetype() - Static method in class jline.examples.java.advanced.AgentModelExamples: Open tandem queue with PHASE-TYPE service.
AgAgent - Class in jline.solvers.ag: The single definition of what one agent's answer is.
agent(int, Matrix[], Matrix[], Matrix[], int[], int[], int, int[], RCATModel) - Static method in class jline.solvers.ag.AgWire: The static description of agent k, as the worker needs it.
agentGenerator(int, Matrix, Matrix[], Matrix[], Matrix[], int[], int[], int, int[]) - Static method in class jline.solvers.ag.handlers.Solver_ag_inap: Agent k's generator at the current reversed rates.
AgentModel - Class in jline.examples.java.advanced: Model factory for AG, the agent-based solver, examples.
AgentModel() - Constructor for class jline.examples.java.advanced.AgentModel
AgentModelExamples - Class in jline.examples.java.advanced: Examples demonstrating SolverAG, LINE's agent-based solver, and its INAP methods.
AgentModelExamples() - Constructor for class jline.examples.java.advanced.AgentModelExamples
agentStationary(Matrix, RCATModel, int) - Static method in class jline.solvers.ag.handlers.Solver_ag_inap: Agent k's stationary vector, given its generator.
agentStationaryOf(Matrix, int, int, int[]) - Static method in class jline.solvers.ag.handlers.Solver_ag_inap: The same solve from the agent's layout given explicitly, for a worker that holds one agent rather than the whole RCATModel.
agePoints - Variable in class jline.api.qsys.QsysFluidAbandonResult: Ages at which the densities were evaluated, null when not requested.
AgExec - Class in jline.solvers.ag: Execution backend of the reversed-rate fixed point.
aggregate(List<List<Integer>>, String, Object) - Method in class jline.lang.processes.MarkovProcess: Aggregation-disaggregation over a macrostate partition.
AggregateChainResult(Network, Matrix, ModelAdapter.DeaggInfo) - Constructor for class jline.lang.ModelAdapter.AggregateChainResult
aggregateChains() - Method in class jline.lang.Network: Returns a copy of this model in which all classes belonging to the same chain are merged into a single aggregate class, so that the aggregated model has one class per chain of this model.
aggregateChains(String) - Method in class jline.lang.Network: Chain-aggregated copy of this model, with a suffix appended to the names of the aggregate classes.
aggregateChains(Network) - Static method in class jline.lang.ModelAdapter
aggregateChains(Network, String) - Static method in class jline.lang.ModelAdapter: Transform a multi-class model into an equivalent chain-aggregated model
aggregatedResult - Variable in class jline.solvers.uq.SolverUQ
aggregateFES(Network, List<Station>) - Static method in class jline.api.fes.FESAggregator: Deprecated.
aggregateFES(Network, List<Station>) - Static method in class jline.lang.ModelAdapter: Replace a station subset with a Flow-Equivalent Server (FES) This function replaces a subset of stations in a closed product-form queueing network with a single Flow-Equivalent Server (FES).
aggregateFES(Network, List<Station>, FESOptions) - Static method in class jline.api.fes.FESAggregator: Deprecated.
aggregateFES(Network, List<Station>, FESOptions) - Static method in class jline.lang.ModelAdapter: Replace a station subset with a Flow-Equivalent Server (FES) with options
aggregateResults() - Method in class jline.solvers.uq.SolverUQ: Aggregates results from all alternatives using prior weights.
aghq_nodes - Variable in class jline.solvers.SolverOptions.Config: options.config.aghq_nodes: nodes per simplex direction of the adaptive Gauss-Hermite rule.
AGOptions - Class in jline.solvers.ag: Options of the agent-based (RCAT) solver.
AGOptions() - Constructor for class jline.solvers.ag.AGOptions
AGResult - Class in jline.solvers.ag: Result of the agent-based (RCAT) solver.
AGResult() - Constructor for class jline.solvers.ag.AGResult
AgWire - Class in jline.solvers.ag: The ag-worker wire protocol, encoder and decoder in one place.
AgWorker - Class in jline.cli: Worker process for the AG solver's cluster execution backend.
AgWorkerClient - Class in jline.solvers.ag: Coordinator-side connection to one ag-worker process.
AgWorkerClient(String, double) - Constructor for class jline.solvers.ag.AgWorkerClient
ahat - Variable in class jline.api.infer.InferLqnResult
aIT() - Method in class jline.solvers.NetworkSolver
Alambda - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
alfa - Variable in class jline.lib.fjcodes.ReturnWaitResult
ALFS - Enum constant in enum jline.lang.constant.HeteroSchedPolicy: Assign Longest Free Server with fairness sorting.
alfsorder - Variable in class jline.lang.state.CtmcPool: Pools by ascending number of compatible classes, ties by index (ALFS).
alias(Object...) - Method in class jline.util.matrix.MatrixEquation: Creates aliases for variables that can be used in matrix equations.
ALIS - Enum constant in enum jline.lang.constant.HeteroSchedPolicy: Assign Longest Idle Server.
AllBench - Class in jline.bench: Main benchmark runner - runs all benchmark suites
AllBench() - Constructor for class jline.bench.AllBench
allbut(Matrix, int) - Static method in class jline.util.matrix.Matrix: Returns all elements in a matrix except the first ones
allEqualToOne() - Method in class jline.util.matrix.Matrix: Checks whether all elements in the matrix are equal to 1.
AllExamples - Class in jline.examples.java: Runs all examples by invoking BasicExamples and AdvancedExamples.
AllExamples() - Constructor for class jline.examples.java.AllExamples
allJumpsReduced - Variable in class jline.solvers.fluid.handlers.ImmediateElimination.EliminationResult
allprobs(Network, int) - Static method in class jline.examples.parity.StateProbTwins: statepr_allprobs_fcfs.py / statepr_allprobs_ps.py: the four queries on the two-class class-switching model, under every solver that carries them.
ALN - Variable in class jline.solvers.ldes.LNLDESResult: Arrival rate per LQN element [1 x nidx]
alpha - Variable in class jline.api.fj.FJ_tail_forktail.GEFit
alpha - Variable in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
alpha - Variable in class jline.api.mapqn.Mapqn_bnd_qr_ld.QuadraticLDParameters
alpha - Variable in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
alpha - Variable in class jline.api.mc.CtmcPassagePh: pi0 restricted to the non-target block, UNNORMALIZED.
alpha - Variable in class jline.api.pfqn.PfqnResptPsResult: Per-class unutilized fraction 1 - sum_r lambda_r/q_r of the CPU in the open counterpart.
alpha - Variable in class jline.api.qsys.QsysBmapM1Result: Stationary vector of A.
alpha - Variable in class jline.api.qsys.QsysMm1PsResult: Unutilized fraction of the processor, 1 - sum_j lambda_j/mu_j.
alpha - Variable in class jline.api.qsys.QsysTandemUbResult: E[X e^{-theta X}], the arrival functional the coefficients depend on.
alpha - Variable in class jline.api.qsys.QsysTvFluidResult: Abandonment rate.
alpha - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
alpha - Variable in class jline.api.sn.SnToQrfAlpha.Result: (nstations x N) rate scaling at population n = 1..N.
alpha - Variable in class jline.inference.api.VariationalResult: (P) posterior Gamma shapes.
alpha - Variable in class jline.io.Ret.snGetDemands
alpha - Variable in class jline.lang.ModelAdapter.DeaggInfo
alpha - Variable in class jline.lang.state.CtmcPool: alpha[r][k], exit[r][k]: entry vector and exit rates of block k.
alpha - Variable in class jline.lang.workflow.Workflow.SPNode: Cached initial vector.
alpha - Variable in class jline.lib.butools.dph.MGFromMoments.MGRepresentation
alpha - Variable in class jline.lib.butools.fitting.PHFromTrace.PHFitResult
alpha - Variable in class jline.lib.butools.ph.MERepresentation
alpha - Variable in class jline.lib.butools.ph.PH2From3Moments.PH2Representation
alpha - Variable in class jline.lib.butools.ph.PH3Representation
alpha - Variable in class jline.lib.butools.ph.PHRepresentation
alpha - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
alpha - Variable in class jline.solvers.mam.handlers.Mam_svc_mixture.Result: 1 x n, the arrival-weighted initial probability row.
alpha0 - Variable in class jline.inference.api.VariationalSpec: (P) Gamma prior shapes.
alpharate - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
alphascv - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
alphaTrace - Variable in class jline.inference.api.VariationalResult: (P x iter) posterior shape per iteration.
aLT() - Method in class jline.solvers.NetworkSolver
ALT - Enum constant in enum jline.io.tikz.SequenceDiagramTraverser.Fragment.FragmentType
alternativeIdx - Variable in class jline.solvers.uq.SolverUQ.PosteriorTableRow
alternativeSolvers - Variable in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
AMAP_2STATE - Enum constant in enum jline.lib.m3a.M3aCompressMethod: Two-state acyclic MAP compression (AMAP)
amap2_adjust_gamma(double, double, double, double) - Static method in class jline.api.mam.Amap2_fit_gamma
amap2_adjust_gamma(double, double, double, double, double[], int, int) - Static method in class jline.api.mam.Amap2_fit_gamma
amap2_assemble(double, double, double, double, int) - Static method in class jline.api.mam.Amap2_fit_gamma
amap2_fit_gamma(double, double, double, double) - Static method in class jline.api.mam.Amap2_fit_gamma: Finds an AMAP(2) fitting the given characteristics.
Amap2_fit_gamma - Class in jline.api.mam: Top-level functions for AMAP2 gamma fitting.
amap2_fit_gamma_map(MatrixCell) - Static method in class jline.api.mam.Amap2_fit_gamma_map: Performs approximate fitting of a given MAP, yielding a second-order AMAP in canonical form.
Amap2_fit_gamma_map - Class in jline.api.mam
amap2_fit_gamma_trace(double[]) - Static method in class jline.api.mam.Amap2_fit_gamma_trace: Performs approximate fitting of a given trace, yielding a second-order AMAP in canonical form.
Amap2_fit_gamma_trace - Class in jline.api.mam
Amap2_fit_gamma.Triple - Class in jline.api.mam: Triple holder for adjustment results.
amap2_fitall_gamma(double, double, double, double) - Static method in class jline.api.mam.Amap2_fit_gamma: Finds all AMAP(2) solutions for given moments and correlation.
Amap2FitGammaAlgo - Class in jline.api.mam: Amap2 Fit Gamma algorithms (documentation marker class).
Amap2FitGammaAlgo() - Constructor for class jline.api.mam.Amap2FitGammaAlgo
ampl - Variable in class jline.api.mc.Ctmc_saddlepoint.PerronState
ampl - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: The Perron amplitude g(theta*).
amvaUsesProductFormKernels(NetworkStruct) - Static method in class jline.solvers.mva.handlers.Solver_amva: Conservative form of the branch test below: true when this model may be solved by the product-form AMVA kernels (the linearizer family and relatives) rather than by Solver_amvald.
AN - Variable in class jline.solvers.SolverResult: Mean arrival rates [stations x classes]
AN - Variable in class jline.solvers.tr.FJTagTransform.Lifted
AnalysisResults(double[][], double[][], double[][], double[][], double[][], double[], double, long, int, String) - Constructor for class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
analyze() - Method in class jline.solvers.mva.SolverMVAOIAnalyzer
analyze(int, int) - Method in class jline.solvers.EnsembleSolver
analyze(int, int) - Method in class jline.solvers.env.SolverENV
analyze(int, int) - Method in class jline.solvers.ln.SolverLN
analyze(int, int) - Method in class jline.solvers.uq.SolverUQ
analyze(NetworkStruct, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.ClosingAndStateDepMethodsAnalyzer
analyze(NetworkStruct, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.DaeAnalyzer
analyze(NetworkStruct, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.DiffusionAnalyzer
analyze(NetworkStruct, SolverOptions, SolverResult) - Method in interface jline.solvers.fluid.analyzers.FluidAnalyzer
analyze(NetworkStruct, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.KoPenderAnalyzer
analyze(NetworkStruct, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.MatrixMethodAnalyzer
analyze(NetworkStruct, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.MFQAnalyzer
analyze(NetworkStruct, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.MinNormalAnalyzer
analyze(NetworkStruct, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.QsysLimitAnalyzer
analyze(NetworkStruct, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.RMFAnalyzer
analyze(NetworkStruct, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.TbiAnalyzer
analyzePriorities(NetworkStruct) - Static method in class jline.solvers.mam.handlers.Solver_mam_passage_time
analyzePriorities(NetworkStruct, String) - Static method in class jline.solvers.mam.handlers.Solver_mam_passage_time
analyzer - Variable in class jline.api.qsys.QsysBmapM1Result: Name of the analyzer.
analyzer - Variable in class jline.api.qsys.QsysMapG1kPerflowResult: Name of the analyzer that produced this result.
analyzer - Variable in class jline.api.qsys.QsysMapG1kResult: Name of the analyzer that produced this result.
analyzer - Variable in class jline.api.qsys.QsysMmapG1kResult: Name of the analyzer that produced this result.
analyzer - Variable in class jline.api.qsys.QsysRetrialResult
AnalyzerResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, MatrixCell, double, String, NetworkStruct) - Constructor for class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
AnalyzerResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, MatrixCell, double, String, NetworkStruct, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
analyzeWorkflow() - Method in class jline.api.wf.Wf_analyzer
analyzeWorkflow() - Method in class jline.api.wf.WorkflowManager
ANCI - Variable in class jline.solvers.ldes.LDESResult: Confidence interval half-widths for arrival rates [stations x classes]
ANCI - Variable in class jline.solvers.ssa.SSAResult: Confidence interval half-widths for arrival rates [stations x classes]
aNCT() - Method in class jline.solvers.NetworkSolver: Short alias for getAvgNodeChainTable().
aNCT(boolean) - Method in class jline.solvers.NetworkSolver: Short alias for getAvgNodeChainTable(boolean keepDisabled).
aNCT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Short alias for getAvgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
aNCT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Short alias for getAvgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
aNCT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Short alias for getAvgNodeChainTable(SolverAvgHandles avgHandles).
aNCT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Short alias for getAvgNodeChainTable(SolverAvgHandles avgHandles, boolean keepDisabled).
AndFork(String, List<String>) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an AND-fork relationship.
AndFork(String, List<String>, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an AND-fork relationship with a specified fanout matrix.
AndFork(Activity, List<Activity>) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an AND-fork relationship.
AndFork(Activity, List<Activity>, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an AND-fork relationship with a specified fanout matrix.
AndFork(WorkflowActivity, List<WorkflowActivity>) - Static method in class jline.lang.workflow.Workflow
AndJoin(List<String>, String) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an AND-join relationship.
AndJoin(List<String>, String, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an AND-join relationship with a specified quorum matrix.
AndJoin(List<Activity>, Activity) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an AND-join relationship.
AndJoin(List<Activity>, Activity, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an AND-join relationship with a specified quorum matrix.
AndJoin(List<WorkflowActivity>, WorkflowActivity) - Static method in class jline.lang.workflow.Workflow
AndJoin(List<WorkflowActivity>, WorkflowActivity, int) - Static method in class jline.lang.workflow.Workflow: AND-join waiting for QUORUM of the branches.
ANfcr - Variable in class jline.solvers.SolverResult: FCR mean arrival rates (attempted entries) [regions x classes]
aNT() - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable().
aNT(boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(boolean keepDisabled).
aNT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
aNT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
aNT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(SolverAvgHandles avgHandles).
aNT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(SolverAvgHandles avgHandles, boolean keepDisabled).
any() - Method in class jline.util.matrix.BaseMatrix: Checks if the current matrix contains any non-zero elements.
any() - Method in class jline.util.matrix.DenseMatrix
any() - Method in class jline.util.matrix.Matrix
any() - Method in class jline.util.matrix.SparseMatrix: Checks if the current matrix contains any non-zero elements.
aoi_dist2ph(MatrixCell) - Static method in class jline.api.aoi.Aoi_dist2ph: Convert LINE process representation to PH format for AoI analysis.
Aoi_dist2ph - Class in jline.api.aoi
Aoi_dist2phResult - Class in jline.api.aoi: Result of aoi_dist2ph conversion.
Aoi_dist2phResult(Matrix, Matrix) - Constructor for class jline.api.aoi.Aoi_dist2phResult
aoi_extract_params(NetworkStruct, AoiValidationResult) - Static method in class jline.api.aoi.Aoi_extract_params
aoi_extract_params(NetworkStruct, AoiValidationResult, double) - Static method in class jline.api.aoi.Aoi_extract_params: Extract parameters from LINE network for AoI analysis.
Aoi_extract_params - Class in jline.api.aoi
aoi_fcfs_dm1(double, double) - Static method in class jline.api.aoi.Aoi_fcfs_dm1: Mean, variance, and peak AoI for D/M/1 FCFS queue.
Aoi_fcfs_dm1 - Class in jline.api.aoi
aoi_fcfs_gim1(LstFunction, double, double, double) - Static method in class jline.api.aoi.Aoi_fcfs_gim1: Mean AoI and LST for GI/M/1 FCFS queue.
Aoi_fcfs_gim1 - Class in jline.api.aoi
aoi_fcfs_md1(double, double) - Static method in class jline.api.aoi.Aoi_fcfs_md1: Mean, variance, and peak AoI for M/D/1 FCFS queue.
Aoi_fcfs_md1 - Class in jline.api.aoi
aoi_fcfs_mgi1(double, LstFunction, double, double) - Static method in class jline.api.aoi.Aoi_fcfs_mgi1: Mean AoI and LST for M/GI/1 FCFS queue.
Aoi_fcfs_mgi1 - Class in jline.api.aoi
aoi_fcfs_mm1(double, double) - Static method in class jline.api.aoi.Aoi_fcfs_mm1: Mean, variance, and peak AoI for M/M/1 FCFS queue.
Aoi_fcfs_mm1 - Class in jline.api.aoi
aoi_is_aoi(NetworkStruct) - Static method in class jline.api.aoi.Aoi_is_aoi: Check if network is a valid AoI topology for analytical AoI analysis.
Aoi_is_aoi - Class in jline.api.aoi
aoi_lcfsd_gim1(LstFunction, double, double, double) - Static method in class jline.api.aoi.Aoi_lcfsd_gim1: Mean AoI, LST and peak AoI for the GI/M/1 non-preemptive LCFS-D queue.
Aoi_lcfsd_gim1 - Class in jline.api.aoi
aoi_lcfsd_mgi1(double, LstFunction, double, double) - Static method in class jline.api.aoi.Aoi_lcfsd_mgi1: Mean AoI, LST and peak AoI for the M/GI/1 non-preemptive LCFS-D queue.
Aoi_lcfsd_mgi1 - Class in jline.api.aoi
aoi_lcfspr_dm1(double, double) - Static method in class jline.api.aoi.Aoi_lcfspr_dm1: Mean, variance, and peak AoI for D/M/1 preemptive LCFS queue.
Aoi_lcfspr_dm1 - Class in jline.api.aoi
aoi_lcfspr_gim1(LstFunction, double, double, double) - Static method in class jline.api.aoi.Aoi_lcfspr_gim1: Mean AoI and LST for GI/M/1 preemptive LCFS queue.
Aoi_lcfspr_gim1 - Class in jline.api.aoi
aoi_lcfspr_md1(double, double) - Static method in class jline.api.aoi.Aoi_lcfspr_md1: Mean, variance, and peak AoI for M/D/1 preemptive LCFS queue.
Aoi_lcfspr_md1 - Class in jline.api.aoi
aoi_lcfspr_mgi1(double, LstFunction, double, double) - Static method in class jline.api.aoi.Aoi_lcfspr_mgi1: Mean AoI and LST for M/GI/1 preemptive LCFS queue.
Aoi_lcfspr_mgi1 - Class in jline.api.aoi
aoi_lcfspr_mm1(double, double) - Static method in class jline.api.aoi.Aoi_lcfspr_mm1: Mean, variance, and peak AoI for M/M/1 preemptive LCFS queue.
Aoi_lcfspr_mm1 - Class in jline.api.aoi
aoi_lcfss_gim1(LstFunction, double, double, double) - Static method in class jline.api.aoi.Aoi_lcfss_gim1: Mean AoI, LST and peak AoI for the GI/M/1 non-preemptive LCFS-S queue.
Aoi_lcfss_gim1 - Class in jline.api.aoi
aoi_lcfss_mgi1(double, LstFunction, double, double) - Static method in class jline.api.aoi.Aoi_lcfss_mgi1: Mean AoI, LST and peak AoI for the M/GI/1 non-preemptive LCFS-S queue.
Aoi_lcfss_mgi1 - Class in jline.api.aoi
Aoi_lst - Class in jline.api.aoi
aoi_lst_det(double) - Static method in class jline.api.aoi.Aoi_lst: LST for deterministic (constant) distribution: H*(s) = exp(-s * d)
aoi_lst_erlang(int, double) - Static method in class jline.api.aoi.Aoi_lst: LST for Erlang-k distribution: H*(s) = (mu / (mu + s))^k
aoi_lst_exp(double) - Static method in class jline.api.aoi.Aoi_lst: LST for exponential distribution: H*(s) = mu / (mu + s)
aoi_lst_ph(Matrix, Matrix) - Static method in class jline.api.aoi.Aoi_lst: LST for phase-type distribution: H*(s) = alpha * (s*I - T)^{-1} * (-T * e)
aoi_preemption - Variable in class jline.solvers.SolverOptions.Config: AoI preemption/replacement probability override for Age of Information analysis.
Aoi_result - Class in jline.api.aoi: Marker for Aoi_result.kt.
aoi_solve_bufferless(Matrix, Matrix, Matrix, Matrix, double) - Static method in class jline.api.aoi.Aoi_solve_bufferless: Solve bufferless (PH/PH/1/1 or PH/PH/1/1*) AoI system using MFQ.
Aoi_solve_bufferless - Class in jline.api.aoi
aoi_solve_singlebuffer(double, Matrix, Matrix, double) - Static method in class jline.api.aoi.Aoi_solve_singlebuffer
Aoi_solve_singlebuffer - Class in jline.api.aoi: Single-buffer AoI solver using Markovian Fluid Queues.
AoiLstResult - Class in jline.api.aoi: Result of Age of Information analysis for general queue types.
AoiLstResult(double, LstFunction, double) - Constructor for class jline.api.aoi.AoiLstResult
AoiMfqResult - Class in jline.api.aoi
AoiMfqResult(Matrix, Matrix, Matrix, double, double, Matrix, Matrix, Matrix, double, double, String, double) - Constructor for class jline.api.aoi.AoiMfqResult
AoiParams - Class in jline.api.aoi: Extracted parameters for AoI analysis.
AoiParams(Matrix, Matrix, Matrix, Matrix, double, double, double, String, String) - Constructor for class jline.api.aoi.AoiParams
AoiResult - Class in jline.api.aoi: Result of Age of Information analysis for simple queue types.
AoiResult(double, double, double) - Constructor for class jline.api.aoi.AoiResult
aoiResults - Variable in class jline.solvers.fluid.FluidResult: Age of Information results from MFQ analysis (null if not an AoI model)
AoiValidationResult - Class in jline.api.aoi: Result of AoI topology validation.
AoiValidationResult(boolean, int, int, int, int, int, int, String, String, String) - Constructor for class jline.api.aoi.AoiValidationResult
aOT() - Method in class jline.solvers.NetworkSolver
Ap - Variable in class jline.api.sim.QuantileCIResult: Batched STS area estimator of the variance parameter.
Ap - Variable in class jline.api.sim.StsQuantileStats: Batched STS area estimator of the variance parameter.
AP - Variable in class jline.io.Ret.snToAG
AP - Variable in class jline.solvers.ag.handlers.RCATModel
APH - Class in jline.lang.processes: An acyclic phase type distribution
APH - Class in jline.lib.kpctoolbox: Facade class for Acyclic Phase-Type (APH) functions.
APH - Class in jline.lib.kpctoolbox.aph
APH - Enum constant in enum jline.io.WfCommonsOptions.DistributionType: Acyclic Phase-type distribution
APH - Enum constant in enum jline.lang.constant.ProcessType
APH - Variable in class jline.io.Ret.mamAPH2Fit
APH(List<Double>, Matrix) - Constructor for class jline.lang.processes.APH
APH(Matrix, Matrix) - Constructor for class jline.lang.processes.APH
aph_bernstein(DoubleUnaryOperator, int) - Static method in class jline.api.mam.Aph_bernstein: Fits an Acyclic Phase-type distribution using Bernstein's approximation.
Aph_bernstein - Class in jline.api.mam
aph_convpara(List<Pair<double[], Matrix>>) - Static method in class jline.lib.kpctoolbox.aph.APH
aph_convseq(List<Pair<double[], Matrix>>) - Static method in class jline.lib.kpctoolbox.aph.APH
aph_convseq(List<Pair<Matrix, Matrix>>) - Static method in class jline.api.mam.Aph_convseq: Performs sequential convolution of multiple APH distributions.
Aph_convseq - Class in jline.api.mam
aph_fit(double, double, double) - Static method in class jline.api.mam.Aph_fit: Fits APH using the default maximum order of 10.
aph_fit(double, double, double) - Static method in class jline.lib.kpctoolbox.aph.APH
aph_fit(double, double, double, int) - Static method in class jline.api.mam.Aph_fit: Fits an acyclic phase-type (APH) distribution to the given moments of a random variable.
aph_fit(double, double, double, int) - Static method in class jline.lib.kpctoolbox.aph.APH
Aph_fit - Class in jline.api.mam
aph_rand() - Static method in class jline.api.mam.Aph_rand: Generates a random Acyclic Phase-type (APH) distribution with 2 phases.
aph_rand() - Static method in class jline.lib.kpctoolbox.aph.APH
aph_rand(int) - Static method in class jline.api.mam.Aph_rand: Generates a random Acyclic Phase-type (APH) distribution with K phases.
aph_rand(int) - Static method in class jline.lib.kpctoolbox.aph.APH
Aph_rand - Class in jline.api.mam
aph_simplify(double[], Matrix, double[], Matrix, double, double, APH.ConvolutionPattern) - Static method in class jline.lib.kpctoolbox.aph.APH
aph_simplify(double[], Matrix, double[], Matrix, APH.ConvolutionPattern) - Static method in class jline.lib.kpctoolbox.aph.APH
aph_simplify(Matrix, Matrix, Matrix, Matrix, double, double, int) - Static method in class jline.api.mam.Aph_simplify: Simplifies and combines two APH distributions using different structural patterns.
Aph_simplify - Class in jline.api.mam
APH.ConvolutionPattern - Enum in jline.lib.kpctoolbox.aph: Convolution patterns for APH simplification.
aph2_adjust(double, double, double) - Static method in class jline.api.mam.Aph2_adjust
aph2_adjust(double, double, double, String) - Static method in class jline.api.mam.Aph2_adjust: Adjusts the second and third moments (M2 and M3) of a distribution using the default "simple" method for fitting an APH(2) distribution.
Aph2_adjust - Class in jline.api.mam
aph2_assemble(double, double, double) - Static method in class jline.api.mam.Aph2_assemble: Assembles an acyclic phase-type (APH) distribution with two phases (APH(2)) using the given parameters.
Aph2_assemble - Class in jline.api.mam
aph2_fit(double, double, double) - Static method in class jline.api.mam.Aph2_fit: Fits an acyclic phase-type (APH) distribution with two phases (APH(2)) to match the given moments of a random variable.
Aph2_fit - Class in jline.api.mam
aph2_fit_map(MatrixCell) - Static method in class jline.api.mam.Aph2_fit_map: Performs approximate fitting of a MAP, yielding a second-order APH in canonical form.
Aph2_fit_map - Class in jline.api.mam: Absorbing Phase-type distribution fitting from MAP.
aph2_fit_trace(double[]) - Static method in class jline.api.mam.Aph2_fit_trace: Performs approximate fitting of a given trace, yielding a second-order APH in canonical form.
Aph2_fit_trace - Class in jline.api.mam: Absorbing Phase-type distribution trace-based fitting.
aph2_fitall(double, double, double) - Static method in class jline.api.mam.Aph2_fitall: Fits a set of acyclic phase-type (APH) distributions with two phases (APH(2)) to match the given moments.
Aph2_fitall - Class in jline.api.mam
APH2ndMomentLowerBound - Class in jline.lib.butools
APH2ndMomentLowerBound(double, int) - Static method in class jline.lib.butools.APH2ndMomentLowerBound
APH3rdMomentLowerBound - Class in jline.lib.butools
APH3rdMomentLowerBound(double, double, int) - Static method in class jline.lib.butools.APH3rdMomentLowerBound
APH3rdMomentUpperBound - Class in jline.lib.butools
APH3rdMomentUpperBound(double, double, int) - Static method in class jline.lib.butools.APH3rdMomentUpperBound
APHFrom3Moments - Class in jline.lib.butools
APHFrom3Moments(double[]) - Static method in class jline.lib.butools.APHFrom3Moments
APHFrom3Moments(double[], int) - Static method in class jline.lib.butools.APHFrom3Moments
APHFrom3Moments(double[], int, double) - Static method in class jline.lib.butools.APHFrom3Moments
APHS - Variable in class jline.io.Ret.mamAPH2Fit
applicable(NetworkStruct) - Static method in class jline.solvers.mam.handlers.Solver_mam_transient_qbd
applicable(NetworkStruct, SolverOptions) - Static method in class jline.solvers.fluid.petri.PetriApplicable
apply(double[]) - Method in interface jline.api.cache.CacheSojourn.Drift
apply(double[]) - Method in interface jline.api.mam.Mmap_mixture_order2.WeightsCallback
apply(double[]) - Method in interface jline.api.mapqn.Mapqn_nlp_solver.ObjectiveFn
apply(double[]) - Method in class jline.io.Ret.pfqnCUB
apply(double[], double[]) - Method in interface jline.api.mapqn.Mapqn_nlp_solver.GradientFn
apply(double, double, String) - Method in class jline.util.matrix.Matrix: Applies a conditional element-wise transformation to the matrix.
apply(List<Matrix>, int) - Method in interface jline.lib.butools.reptrans.FindMarkovianRepresentation.EvalFun
apply(List<Matrix>, Matrix) - Method in interface jline.lib.butools.reptrans.FindMarkovianRepresentation.TransFun
apply(Network, double) - Method in interface jline.solvers.ctmc.SolverCTMC.ParamSetter
apply(Network, Object) - Method in class jline.opt.variables.ClassPriority
apply(Network, Object) - Method in class jline.opt.variables.ClassServiceMapping
apply(Network, Object) - Method in class jline.opt.variables.DecisionVariable: Apply a decoded value to a (copied) model.
apply(Network, Object) - Method in class jline.opt.variables.JobPopulation
apply(Network, Object) - Method in class jline.opt.variables.LqnDecisionVariable: Invalid for LQN variables: they apply to a LayeredNetwork, not a flat Network.
apply(Network, Object) - Method in class jline.opt.variables.RoutingProbabilities
apply(Network, Object) - Method in class jline.opt.variables.ServerAllocation
apply(Network, Object) - Method in class jline.opt.variables.ServiceRate
apply(Network, Object) - Method in class jline.opt.variables.StationReplicas
apply(NetworkStruct) - Static method in class jline.solvers.ctmc.handlers.Solver_ctmc_mapc: The struct with every multiserver MAP service in pair form, or sn itself when there is none.
apply(NetworkStruct) - Static method in class jline.solvers.ctmc.handlers.Solver_ctmc_pools: The struct with every heterogeneous-server station rewritten, or sn itself when there is none.
apply(NetworkStruct, int, int, int, Matrix, Matrix, Matrix, Map<Station, Map<JobClass, Matrix>>, Matrix, Matrix, Matrix) - Static method in class jline.lang.state.AfterEventStationReply: Applies a REPLY arrival at node ind.
apply(Matrix) - Method in class jline.api.fes.FesBetaFunction
apply(Matrix) - Method in class jline.util.PrecomputedCDFunction: Applies the class dependence function to the given state.
apply(Matrix) - Method in class jline.util.PrecomputedRateFunction: Applies the rate function to the given ordered class sequence.
applyCacheResults(List<CacheResultRecord>) - Method in class jline.solvers.NetworkSolver: Copy a cache surface produced on ANOTHER model onto this solver's own model, matched by node NAME, and refresh the struct so the hit/miss routing follows.
applyConditionalTransform(double, double, double, String) - Method in class jline.util.matrix.BaseMatrix: Applies a transformation to matrix elements based on conditions.
applyConditionalTransform(double, double, double, String) - Method in class jline.util.matrix.DenseMatrix
applyConditionalTransform(double, double, double, String) - Method in class jline.util.matrix.SparseMatrix: Applies a transformation to matrix elements based on conditions.
applyCsFun(int, int) - Method in class jline.lang.sections.ClassSwitcher
applyLqn(LayeredNetwork, Object) - Method in class jline.opt.variables.ActivityThinkTime
applyLqn(LayeredNetwork, Object) - Method in class jline.opt.variables.HostDemand
applyLqn(LayeredNetwork, Object) - Method in class jline.opt.variables.LqnDecisionVariable: Apply a decoded value to a (copied) LayeredNetwork model.
applyLqn(LayeredNetwork, Object) - Method in class jline.opt.variables.ProcessorMultiplicity
applyLqn(LayeredNetwork, Object) - Method in class jline.opt.variables.TaskMultiplicity
applyLqn(LayeredNetwork, Object) - Method in class jline.opt.variables.TaskReplication
applyLqn(LayeredNetwork, Object) - Method in class jline.opt.variables.TaskThinkTime
APPROX_DET - Static variable in class jline.solvers.MethodType
APPROX_RND - Static variable in class jline.solvers.MethodType
arate - Variable in class jline.solvers.fluid.analyzers.CacheTranResult: Per-cache per-class arrival rate (ncaches x K).
arcparam - Variable in class jline.inference.api.VariationalSpec: (T) index in 1..P of the rate governing the transition, 0 when known.
arcrate - Variable in class jline.inference.api.VariationalSpec: (T) known rate for transitions with arcparam == 0.
arcs - Variable in class jline.inference.api.VariationalSpec: (T x 3) transitions [i j c]; i==0 external source, j==0 sink.
arcs(int, int) - Method in class jline.api.mdd.MDD: Arc row of level-k node id (1-based id); the array is the live one, do not mutate.
arcSlot - Variable in class jline.solvers.fluid.petri.PetriMode: Marking coordinates this mode consumes from.
ArcTol - Static variable in class jline.GlobalConstants: Magnitude above which an off-diagonal generator entry counts as an arc (1e-12).
arcW - Variable in class jline.solvers.fluid.petri.PetriMode: Multiplicity of each input arc, in the same order.
areas - Variable in class jline.api.sim.StsQuantileStats: Signed STS areas, one per batch.
aRLT() - Method in class jline.solvers.NetworkSolver
around(Object, String, LineResultRecorder.Body<T>) - Static method in class jline.io.LineResultRecorder: Run one result getter, recording what it returned.
arrival - Variable in class jline.api.sn.SnMapModulation.MapModulation: True when the process is an arrival process, false for a service process.
arrival - Variable in class jline.lang.layered.LayeredNetworkStruct: Deprecated.
arrival() - Static method in class jline.examples.java.basic.OpenMMAPtModel: The arrival process of OpenMMAPtModel.example(), for the rate identities it satisfies.
arrival_mean - Variable in class jline.lang.layered.LayeredNetworkStruct
arrival_params - Variable in class jline.lang.layered.LayeredNetworkStruct
arrival_proc - Variable in class jline.lang.layered.LayeredNetworkStruct
arrival_scv - Variable in class jline.lang.layered.LayeredNetworkStruct
arrival_type - Variable in class jline.lang.layered.LayeredNetworkStruct
arrivalbatch - Variable in class jline.lang.NetworkStruct
arrivalBatch - Variable in class jline.lang.nodes.Source
arrivalIsLost(NetworkStruct, int, int) - Static method in class jline.lang.state.State: True when an arrival of class jobClass that finds no room at station ist is LOST, and false when it must BLOCK the upstream instead.
arrivalPmf - Variable in class jline.api.dqsys.Bernoulli1Result: Arrival queue length law of theorem 2.11, arrivalPmf[n].
arrivalProb - Variable in class jline.api.dqsys.Bernoulli1Result: Offered per-slot arrival probability b(n), indexed by n = 0..L.
arrivalProb - Variable in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer.DtModel: Offered arrival probability (bernoulli1).
arrivalProcess - Variable in class jline.lang.nodes.Source
arrivalRate - Variable in class jline.api.qsys.QsysMtginfResult: lambda(t).
arrivalRate - Variable in class jline.api.qsys.QsysTvFluidResult: The arrival rate on the grid.
arrivalRate(int, int, double, long) - Static method in class jline.streaming.SSAMetricPoint: Create an arrival rate metric point.
arrivalRate(int, int, String, String, double, long) - Static method in class jline.streaming.SSAMetricPoint: Create an arrival rate metric point with station/class names.
arrivalRates - Variable in class jline.api.npfqn.Npfqn_gtmtst_fluid.Result: The converged total arrival rates, one row per queue.
arv - Variable in class jline.solvers.ba.analyzers.Solver_ba_snc_analyzer.Envelopes: Arrival envelope of each (station, class) pair that carries traffic.
ARV - Enum constant in enum jline.lang.constant.EventType
arvproc_classes_updmap - Variable in class jline.solvers.ln.SolverLN
ArvR - Enum constant in enum jline.lang.constant.MetricType
arvRates - Variable in class jline.solvers.ssa.SSAValues
ashift - Variable in class jline.lang.layered.LayeredNetworkStruct
asPatience() - Method in class jline.api.sn.SnPatienceHandles.Handles: This law as the Patience argument of the abandonment solvers.
assertConserved(double[], double) - Method in class jline.solvers.fluid.moments.FluidConservationGuard: Raises FluidNonHyperbolicException when the state has left the model, so the fallback ladder in SolverFluid answers with 'dae' and then with 'matrix'/'closing' instead of returning a state that is not a solution.
assertPhaseTypeStates(String) - Method in class jline.solvers.ctmc.SolverCTMC: Refuses a query whose answer is a per-state probability under an ME.
assertSeriesParallelForks() - Method in class jline.solvers.ln.SolverLN: Rejects activity graphs whose AND forks and joins are not properly nested.
assign(List<Integer>, Matrix[], Matrix[], Matrix[], int[], int[], int, int[], RCATModel) - Method in class jline.solvers.ag.AgWorkerClient: Ship the static half of the owned agents.
assumelive - Variable in class jline.api.spn.Spn_lpbnd.SpnLpOptions: true adds the two liveness rows, valid only on a live net.
aST() - Method in class jline.solvers.NetworkSolver: Short alias for getAvgSysTable().
aST(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Short alias for getAvgSysTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
aST(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Short alias for getAvgSysTable(SolverAvgHandles avgHandles).
astar - Variable in class jline.api.pfqn.sens.Pfqn_hst.Result: The worst-case deviation profile a_k/d, k = 1..N.
ASYNC - Enum constant in enum jline.lang.constant.CallType
asyncCallDests - Variable in class jline.lang.layered.Activity
asyncCallMeans - Variable in class jline.lang.layered.Activity
ASYNCH_CALL - Enum constant in enum jline.io.ModelVisualizer.EdgeType
ASYNCH_CALL - Enum constant in enum jline.io.tikz.SequenceDiagramTraverser.Interaction.Type
asynchCall(String) - Method in class jline.lang.layered.Activity
asynchCall(String, double) - Method in class jline.lang.layered.Activity
asynchCall(Entry) - Method in class jline.lang.layered.Activity
asynchCall(Entry, double) - Method in class jline.lang.layered.Activity
at(double) - Method in class jline.api.fj.FJ_quorum.StepCDF: Value of the step function at time x.
at(double[]) - Method in interface jline.api.retrieval.Retrieval_rayint.Profile
at(Network) - Method in class jline.bench.lqn.BenchLQN_Custom.CustomSolverFactory
at(Network) - Method in class jline.bench.lqn.BenchLQN_Default.DefaultSolverFactory
at(Network) - Method in class jline.bench.lqn.BenchLQN_Fluid.FluidSolverFactory
at(Network) - Method in class jline.bench.lqn.BenchLQN_LQNS.LQNSSolverFactory
at(Network) - Method in class jline.bench.lqn.BenchLQN_MVA.MVASolverFactory
at(Network) - Method in class jline.bench.lqn.BenchLQN_NC.NCSolverFactory
at(Network) - Method in class jline.bench.lqn.BenchLQN_SRVN.SRVNSolverFactory
at(Network) - Method in class jline.bench.lqn.SimpleLQNBenchmark.BenchmarkSolverFactory
at(Network) - Method in interface jline.solvers.ln.SolverFactory
aT() - Method in class jline.solvers.EnsembleSolver
aT() - Method in class jline.solvers.ln.SolverLN
aT() - Method in class jline.solvers.NetworkSolver
aT(boolean) - Method in class jline.solvers.NetworkSolver
aT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
aT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver
aT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
aT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver
ATMOST - Static variable in class jline.api.cache.Cache_spm_size: Sum over states of cost AT MOST k, matching Cache_erec.
atom - Variable in class jline.api.mc.CtmcPassagePh: Mass of pi0 already inside the target: F(0).
atom - Variable in class jline.api.mc.PassageCurve: Mass of the initial law already inside the target: F(0).
atomCond - Variable in class jline.api.qsys.QsysMg1PsResult: Atom (1-rho)*exp(-lambda*x) of V(x) at t = x.
atomUncond - Variable in class jline.api.qsys.QsysMg1PsResult: Mass (1-rho)*bhat(lambda) of the jobs that share the server with nobody.
aTrue - Variable in class jline.api.infer.InferLqnOptions
attachRetrievalSystem(JobClass, List<Integer>, JobClass[]) - Method in class jline.lang.nodes.Cache: Reconstruct the retrieval-system bookkeeping on a cache whose retrieval classes, routing and queue service already exist in the model (e.g.
attribute - Variable in class jline.lang.Model
aub - Variable in class jline.api.mapqn.Mapqn_qrf_noblo_mmi.ConstraintSet
augPhases - Variable in class jline.inference.api.Infer_fluid_ps_rt_likelihood.FluidPsRtResult
AUTO - Class in jline.solvers.auto: AUTO is an alias for SolverAUTO (Automatic solver selection).
AUTO - Enum constant in enum jline.lang.constant.SolverType
AUTO(Network) - Constructor for class jline.solvers.auto.AUTO
AUTO(Network, Object...) - Constructor for class jline.solvers.auto.AUTO
AUTO(Network, SolverOptions) - Constructor for class jline.solvers.auto.AUTO
AUTO_MAX - Static variable in class jline.api.pfqn.Pfqn_respt_ps_moments: State-space size below which the auto route goes exact.
autoAdded - Variable in class jline.lang.nodes.ClassSwitch
autocov(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
autoDecompose() - Method in class jline.opt.decomposition.DecompositionWorkflow
autoFormat() - Method in class jline.util.matrix.Matrix: Re-evaluates the storage format of this matrix by fill ratio when Matrix.setAutoFormatSwitch(boolean) is enabled; no-op otherwise.
autoMerge(int) - Method in class jline.lang.processes.GMM: Automatically merges components to reduce the GMM to k components.
autoMethod() - Method in class jline.inference.lang.ParamEstimator
AUTOptions - Class in jline.solvers.auto: Options specific to the AUTO solver
AUTOptions() - Constructor for class jline.solvers.auto.AUTOptions: Default constructor
AUTOptions(String) - Constructor for class jline.solvers.auto.AUTOptions: Constructor with method
AUTOptions(SolverOptions) - Constructor for class jline.solvers.auto.AUTOptions: Copy constructor from base options
auxall - Variable in class jline.lang.FJSync
auxArrivalSrc - Variable in class jline.io.Ret.FJApprox: Auxiliary-class source arrivals, owned by the forkLambda fixed point rather than by the base model: aux class index -> base class index, with auxDisabled marking those a cold call sets to Disabled.
auxclasses - Variable in class jline.lang.FJSync
auxDisabled - Variable in class jline.io.Ret.FJApprox
average(CacheSojourn.Drift, double[], double, CacheSojourn.Clock) - Static method in class jline.api.cache.CacheSojourn: Integrates the augmented system over [0, t1] from x0 and returns the clock-weighted average.
averageTransientResults(List<LDESResult>) - Static method in class jline.solvers.ldes.handlers.Solver_ssj: Average the transient time series (QNt/UNt/TNt value columns) across independent replications, preserving the (shared) time column.
averagingstart - Variable in class jline.solvers.ln.SolverLN
avg() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvg()
avg() - Method in class jline.solvers.NetworkSolver
avg(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
avg(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
Avg - Variable in class jline.solvers.ctmc.CTMCResult.TRAN
Avg() - Constructor for class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Avg
AVG() - Constructor for class jline.solvers.ctmc.CTMCResult.AVG
avgArvR() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgArvR()
avgArvR() - Method in class jline.solvers.NetworkSolver
avgArvRChain() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgArvRChain()
avgArvRChain() - Method in class jline.solvers.NetworkSolver
avgArvRHandles() - Method in class jline.solvers.NetworkSolver
avgChain() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgChain()
avgChain() - Method in class jline.solvers.NetworkSolver
avgChainT() - Method in class jline.solvers.NetworkSolver
avgChainT(boolean) - Method in class jline.solvers.NetworkSolver
avgChainT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
avgChainT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver
avgChainT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
avgChainT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver
avgChainTable() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgChainTable()
avgChainTable() - Method in class jline.solvers.NetworkSolver
avgChainTable(boolean) - Method in class jline.solvers.NetworkSolver
avgChainTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
avgChainTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver
avgChainTable(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
avgChainTable(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver
AvgHandle - Class in jline.solvers: Handle for managing performance metrics organized by station and job class.
AvgHandle() - Constructor for class jline.solvers.AvgHandle: Constructs an empty AvgHandle.
avgHandles - Variable in class jline.solvers.NetworkSolver: Handles for steady-state average performance metrics
avgHandles() - Method in class jline.solvers.NetworkSolver
avgHeader() - Static method in class jline.examples.parity.Print: The AvgTable header, the eight columns getAvgTable carries.
avgNode() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgNode()
avgNode() - Method in class jline.solvers.NetworkSolver
avgNodeArvRChain() - Method in class jline.solvers.NetworkSolver
avgNodeChain() - Method in class jline.solvers.NetworkSolver
avgNodeChainT() - Method in class jline.solvers.NetworkSolver
avgNodeChainT(boolean) - Method in class jline.solvers.NetworkSolver
avgNodeChainT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
avgNodeChainT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver
avgNodeChainT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
avgNodeChainT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver
avgNodeChainTable() - Method in class jline.solvers.NetworkSolver
avgNodeChainTable(boolean) - Method in class jline.solvers.NetworkSolver
avgNodeChainTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
avgNodeChainTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver
avgNodeChainTable(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
avgNodeChainTable(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver
avgNodeQLenChain() - Method in class jline.solvers.NetworkSolver
avgNodeResidTChain() - Method in class jline.solvers.NetworkSolver
avgNodeRespTChain() - Method in class jline.solvers.NetworkSolver
avgNodeT() - Method in class jline.solvers.NetworkSolver
avgNodeT(boolean) - Method in class jline.solvers.NetworkSolver
avgNodeT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
avgNodeT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver
avgNodeT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
avgNodeT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver
avgNodeTable() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgNodeTable()
avgNodeTable() - Method in class jline.solvers.NetworkSolver
avgNodeTable(boolean) - Method in class jline.solvers.NetworkSolver
avgNodeTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
avgNodeTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver
avgNodeTable(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
avgNodeTable(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver
avgNodeTputChain() - Method in class jline.solvers.NetworkSolver
avgNodeUtilChain() - Method in class jline.solvers.NetworkSolver
avgOrbitSize - Variable in class jline.solvers.ldes.LDESResult: Average orbit size (time-weighted mean jobs in orbit) [stations x classes]
avgQLen() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgQLen()
avgQLen() - Method in class jline.solvers.NetworkSolver
avgQLenChain() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgQLenChain()
avgQLenChain() - Method in class jline.solvers.NetworkSolver
avgQLenHandles() - Method in class jline.solvers.NetworkSolver
avgRenegingWaitTime - Variable in class jline.solvers.ldes.LDESResult: Average wait time before reneging [stations x classes]
avgResidT() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgResidT()
avgResidT() - Method in class jline.solvers.NetworkSolver
avgResidTChain() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgResidTChain()
avgResidTChain() - Method in class jline.solvers.NetworkSolver
avgResidTHandles() - Method in class jline.solvers.NetworkSolver
avgRespT() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgRespT()
avgRespT() - Method in class jline.solvers.NetworkSolver
avgRespTChain() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgRespTChain()
avgRespTChain() - Method in class jline.solvers.NetworkSolver
avgRespTHandles() - Method in class jline.solvers.NetworkSolver
avgReward - Variable in class jline.solvers.ldes.LDESResult: Steady-state expected Markov reward per reward name, E[r] = (1/T) integral r(X(t)) dt.
avgRow(String, String, double, double, double, double, double, double) - Static method in class jline.examples.parity.Print: One AvgTable row, at the column widths Print.avgHeader() declares.
avgSys() - Method in class jline.solvers.NetworkSolver
avgSysRespT() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgSysRespT()
avgSysRespT() - Method in class jline.solvers.NetworkSolver
avgSysT() - Method in class jline.solvers.NetworkSolver
avgSysT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
avgSysT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
avgSysTable() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgSysTable()
avgSysTable() - Method in class jline.solvers.NetworkSolver
avgSysTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
avgSysTable(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
avgSysTput() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgSysTput()
avgSysTput() - Method in class jline.solvers.NetworkSolver
avgT() - Method in class jline.solvers.EnsembleSolver
avgT() - Method in class jline.solvers.ln.SolverLN
avgT() - Method in class jline.solvers.NetworkSolver
avgT(boolean) - Method in class jline.solvers.NetworkSolver
avgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
avgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver
avgT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
avgT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver
avgTable() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgTable()
avgTable() - Method in class jline.solvers.ln.SolverLN
avgTable() - Method in class jline.solvers.NetworkSolver
avgTable(boolean) - Method in class jline.solvers.NetworkSolver
avgTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver
avgTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver
avgTable(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver
avgTable(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver
AvgTable - Class in jline.solvers: Abstract base class for representing average performance metrics tables.
AvgTable(ArrayList<List<Double>>) - Constructor for class jline.solvers.AvgTable: Constructs an AvgTable from a list of lists.
AvgTable(Matrix) - Constructor for class jline.solvers.AvgTable: Constructs an AvgTable from a Matrix.
avgTput() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgTput()
avgTput() - Method in class jline.solvers.NetworkSolver
avgTputChain() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgTputChain()
avgTputChain() - Method in class jline.solvers.NetworkSolver
avgTputHandles() - Method in class jline.solvers.NetworkSolver
avgUtil() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgUtil()
avgUtil() - Method in class jline.solvers.NetworkSolver
avgUtilChain() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgUtilChain()
avgUtilChain() - Method in class jline.solvers.NetworkSolver
avgUtilHandles() - Method in class jline.solvers.NetworkSolver
avgWaitT() - Method in class jline.solvers.auto.SolverAUTO: Alias for getAvgWaitT()
avgWaitT() - Method in class jline.solvers.NetworkSolver
Ax - Variable in class jline.api.pfqn.lcfs.Pfqn_lcfsqn_nc.LcfsqnNcResult

B

b - Variable in class jline.api.lti.WeeksParams: Time scaling applied before the expansion.
b - Variable in class jline.api.mdd.MddEvent: Station (or place) the event arrives at, 0-based; equals a for an internal event.
b - Variable in class jline.api.sim.QuantileCIResult: Final batch count, per replication for Sim_firquest.
b - Variable in class jline.api.sim.StsQuantileStats: Batch count.
b - Variable in class jline.lib.lti.iltcme.CmeEntry
b - Variable in class jline.solvers.fluid.petri.PetriConstraints: The bound of each row.
b - Variable in class jline.solvers.fluid.petri.PetriImmediate.Row: RATIO: the second mode.
B - Variable in class jline.api.mam.Qbd_rg.QbdRgResult
B - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: The exception parameter of the smoothed Lyapunov function.
B - Variable in class jline.api.pfqn.nc.Pfqn_comom.GenMatrixResult
B - Variable in class jline.api.pfqn.Pfqn_sdr.Coeff: Number of branch indices, including the unused complement index 0.
B - Variable in class jline.api.qsys.QsysTandemUbResult: Coefficient B of the test function gamma, fixed by Lemma 4.
B - Variable in class jline.api.qsys.QsysTvFluidResult: Fluid in service.
B - Variable in class jline.io.Ret.pfqnProcomom2
B - Variable in class jline.lib.butools.dph.CanonicalFromDPH2.DPH2Representation
B - Variable in class jline.lib.butools.dph.CanonicalFromDPH3.DPH3Representation
b0 - Variable in class jline.api.sim.QuestOptions: Initial batch count for the warmup stage.
B0 - Variable in class jline.api.mam.Qbd_bmapbmap1.QbdBmapResult
B0 - Variable in class jline.api.qsys.QsysBmapM1Result: Boundary local block B0 = (1/q)D0 + I, used at level 0 where no service can complete.
B1 - Variable in class jline.api.mam.Qbd_bmapbmap1.QbdBmapResult
B1 - Variable in class jline.api.trace.Mtrace_summary.MtraceSummary
B2 - Variable in class jline.api.trace.Mtrace_summary.MtraceSummary
BA - Class in jline.solvers.ba: BA is an alias for SolverBA (Bound Analysis solver).
BA - Enum constant in enum jline.lang.constant.SolverType
BA(Network) - Constructor for class jline.solvers.ba.BA
BA(Network, Object...) - Constructor for class jline.solvers.ba.BA
BA(Network, String) - Constructor for class jline.solvers.ba.BA
BA(Network, SolverOptions) - Constructor for class jline.solvers.ba.BA
BACKWARD - Static variable in class jline.api.pfqn.mva.Pfqn_chow: Legacy compatibility selector; JMT-compatible Chow ignores it.
badc - Variable in class jline.lang.nodes.Queue.MonoCheckResult
badc - Variable in class jline.lang.nodes.Queue.PermCheckResult
badr - Variable in class jline.lang.nodes.Queue.MonoCheckResult
balkedCustomers - Variable in class jline.solvers.ldes.LDESResult: Number of customers who balked (refused to join upon arrival) [stations x classes]
BALKING - Enum constant in enum jline.lang.constant.ImpatienceType: Balking - customer refuses to join the queue based on queue state.
balkingProbability - Variable in class jline.solvers.ldes.LDESResult: Balking probability (balked / arrivals) [stations x classes]
balkingStrategies - Variable in class jline.lang.nodes.Station
balkingStrategy - Variable in class jline.lang.NetworkStruct
BalkingStrategy - Enum in jline.lang.constant: Constants for specifying balking strategies (customer refusal to join queue).
BalkingThreshold - Class in jline.lang.constant: Represents a balking threshold for queue-length based balking.
BalkingThreshold(int, double) - Constructor for class jline.lang.constant.BalkingThreshold: Creates a balking threshold for all queue lengths >= minJobs.
BalkingThreshold(int, int, double) - Constructor for class jline.lang.constant.BalkingThreshold: Creates a balking threshold for a queue length range.
balkingThresholds - Variable in class jline.lang.NetworkStruct
balkingThresholds - Variable in class jline.lang.nodes.Station
bare(double) - Static method in class jline.examples.parity.Print: The scalar ON A LINE OF ITS OWN, beside the labelled one.
bareScalar(double) - Static method in class jline.io.LineResultRecorder: Record a bare scalar an example prints with no label at all.
basBlockQ - Variable in class jline.solvers.ctmc.handlers.Solver_ctmc_fcr_waitq.Result
BaseMatrix - Class in jline.util.matrix: Common base class for matrix implementations, providing a unified interface for both dense and sparse matrix operations.
BaseMatrix() - Constructor for class jline.util.matrix.BaseMatrix
baseMethod(String) - Static method in class jline.solvers.mva.SolverMVA: The method name with any leading "amva." alias stripped.
baseModel - Variable in class jline.io.Ret.FJApprox: Base model the maps above refer to, and the forkLambda mmt was called with.
baseSn - Variable in class jline.io.Ret.FJApprox: The base model's compiled struct at the time this transformation was built.
BasicExamples - Class in jline.examples.java: Runs all basic examples by invoking their main methods.
BasicExamples() - Constructor for class jline.examples.java.BasicExamples
BasicUtils - Class in jline.lib.kpctoolbox.basic: Basic utility functions for the KPC-Toolbox.
basTrace - Variable in class jline.solvers.ldes.LDESOptions: Enable detailed BAS (Blocking After Service) tracing for debugging.
batchDists - Variable in class jline.solvers.ag.handlers.RcatComponent
batches - Variable in class jline.io.Ret.pfqnMcmc: batches the run was split into.
batchRates - Variable in class jline.solvers.ag.handlers.RcatComponent
batchRejectProb - Variable in class jline.lang.NetworkStruct
batchRejectProb - Variable in class jline.lang.nodes.Station
BB - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
BB - Variable in class jline.solvers.QrfParams: (MR x M) blocking state: BB(m,i) is 1 iff queue i is blocked in configuration m.
BC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.TraceData
bc_paug89_mapa() - Static method in class jline.lib.kpctoolbox.MAPCatalog: Bellcore packet trace August 1989 - MAPa (16x16) Source: BC-pAug89.mat (MAPa) Category: Network Traces
bc_paug89_mapk() - Static method in class jline.lib.kpctoolbox.MAPCatalog: Bellcore packet trace August 1989 - MAPk (16x16) Source: BC-pAug89.mat (MAPk) Category: Network Traces
BcfitResult(double[], double[], double) - Constructor for class jline.lib.kpctoolbox.kpcfit.KPCFit.BcfitResult
BCGridLags - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.TraceData
BCLags - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.TraceData
beginRun(Object, SolverOptions) - Static method in class jline.io.LineConsole: Open a console run.
BenchCQN_FCFS - Class in jline.bench.cqn: Benchmark for Closed Queueing Networks with First-Come-First-Serve (FCFS) scheduling All configurations (standard, hicv, multiserver, random mapping)
BenchCQN_FCFS() - Constructor for class jline.bench.cqn.BenchCQN_FCFS
BenchCQN_FCFS.BenchmarkResult - Class in jline.bench.cqn
BenchCQN_PS - Class in jline.bench.cqn: Benchmark for Closed Queueing Networks with Processor Sharing (PS) scheduling Light load configuration
BenchCQN_PS() - Constructor for class jline.bench.cqn.BenchCQN_PS
BenchCQN_PS.BenchmarkResult - Class in jline.bench.cqn
BenchCQN_PS1 - Class in jline.bench.cqn: CQN PS1 Benchmarks - Population: N1=2, N2=4
BenchCQN_PS1() - Constructor for class jline.bench.cqn.BenchCQN_PS1
BenchCQN_PS2 - Class in jline.bench.cqn: CQN PS2 Benchmarks
BenchCQN_PS2() - Constructor for class jline.bench.cqn.BenchCQN_PS2
BenchCQN_PS3 - Class in jline.bench.cqn: CQN PS3 Benchmarks
BenchCQN_PS3() - Constructor for class jline.bench.cqn.BenchCQN_PS3
BenchCQN_PS4 - Class in jline.bench.cqn: CQN PS4 Benchmarks
BenchCQN_PS4() - Constructor for class jline.bench.cqn.BenchCQN_PS4
BenchCQN_RM - Class in jline.bench.cqn: Dedicated benchmark runner for CQN Repairmen (RM) models Provides MATLAB-style formatted output
BenchCQN_RM() - Constructor for class jline.bench.cqn.BenchCQN_RM
BenchCQNTemplate - Class in jline.bench.cqn: Template for CQN benchmark implementations
BenchCQNTemplate() - Constructor for class jline.bench.cqn.BenchCQNTemplate
BenchFJ_Closed - Class in jline.bench.fj: Benchmark for Fork-Join Closed Networks Tests both homogeneous and heterogeneous configurations
BenchFJ_Closed() - Constructor for class jline.bench.fj.BenchFJ_Closed
BenchFJ_Closed.BenchmarkResult - Class in jline.bench.fj
BenchFJ_FCFS - Class in jline.bench.fj: Benchmark for Fork-Join networks with FCFS scheduling Comprehensive benchmark suite with all configurations
BenchFJ_FCFS() - Constructor for class jline.bench.fj.BenchFJ_FCFS
BenchFJ_Mixed - Class in jline.bench.fj: Benchmark for Fork-Join Mixed Networks (combination of open and closed classes) Tests both homogeneous and heterogeneous configurations
BenchFJ_Mixed() - Constructor for class jline.bench.fj.BenchFJ_Mixed
BenchFJ_Mixed.BenchmarkResult - Class in jline.bench.fj
BenchFJ_Nested - Class in jline.bench.fj: Benchmark for Fork-Join Nested Networks Tests nested fork-join structures with closed, open, and mixed configurations
BenchFJ_Nested() - Constructor for class jline.bench.fj.BenchFJ_Nested
BenchFJ_Nested.BenchmarkResult - Class in jline.bench.fj
BenchFJ_Open - Class in jline.bench.fj: Benchmark for Fork-Join Open Networks Tests both homogeneous and heterogeneous configurations
BenchFJ_Open() - Constructor for class jline.bench.fj.BenchFJ_Open
BenchFJ_Open.BenchmarkResult - Class in jline.bench.fj
BenchFJ_PS - Class in jline.bench.fj: Benchmark for Fork-Join networks with PS scheduling Comprehensive benchmark suite with all configurations
BenchFJ_PS() - Constructor for class jline.bench.fj.BenchFJ_PS
BenchFJ_Template - Class in jline.bench.fj: Template for Fork-Join benchmark implementations Supports all configurations: sc, mc, mc2, mc3, mc4 with standard and high CV
BenchFJ_Template() - Constructor for class jline.bench.fj.BenchFJ_Template
BenchFJ_Template.FJConfig - Enum in jline.bench.fj
BenchLQN_Custom - Class in jline.bench.lqn: LQN benchmark using Custom solver configurations with various parameters
BenchLQN_Custom() - Constructor for class jline.bench.lqn.BenchLQN_Custom
BenchLQN_Custom.CustomSolverFactory - Class in jline.bench.lqn: Custom solver factory with configurable parameters
BenchLQN_Default - Class in jline.bench.lqn: LQN benchmark using Default solver configuration
BenchLQN_Default() - Constructor for class jline.bench.lqn.BenchLQN_Default
BenchLQN_Default.DefaultSolverFactory - Class in jline.bench.lqn: Default solver factory for LQN benchmarks
BenchLQN_Fluid - Class in jline.bench.lqn: LQN benchmark using Fluid solver
BenchLQN_Fluid() - Constructor for class jline.bench.lqn.BenchLQN_Fluid
BenchLQN_Fluid.FluidSolverFactory - Class in jline.bench.lqn: Fluid solver factory for LQN benchmarks
BenchLQN_LQNS - Class in jline.bench.lqn: LQN benchmark using LQNS solver (Layered Queueing Network Solver native) Note: Uses JMT as a proxy since native LQNS is external
BenchLQN_LQNS() - Constructor for class jline.bench.lqn.BenchLQN_LQNS
BenchLQN_LQNS.LQNSSolverFactory - Class in jline.bench.lqn: LQNS-style solver factory for LQN benchmarks
BenchLQN_MVA - Class in jline.bench.lqn: LQN benchmark using MVA solver (Mean Value Analysis)
BenchLQN_MVA() - Constructor for class jline.bench.lqn.BenchLQN_MVA
BenchLQN_MVA.MVASolverFactory - Class in jline.bench.lqn: MVA solver factory for LQN benchmarks
BenchLQN_NC - Class in jline.bench.lqn: LQN benchmark using NC solver (Normalizing Constant)
BenchLQN_NC() - Constructor for class jline.bench.lqn.BenchLQN_NC
BenchLQN_NC.NCSolverFactory - Class in jline.bench.lqn: NC solver factory for LQN benchmarks
BenchLQN_SRVN - Class in jline.bench.lqn: LQN benchmark using SRVN solver (Stochastic Rendezvous Networks) Note: Uses JMT as a proxy since native SRVN is external
BenchLQN_SRVN() - Constructor for class jline.bench.lqn.BenchLQN_SRVN
BenchLQN_SRVN.SRVNSolverFactory - Class in jline.bench.lqn: SRVN-style solver factory for LQN benchmarks
benchmarkName - Variable in class jline.bench.BenchmarkRegression.BenchmarkResult
benchmarkName - Variable in class jline.bench.cqn.CQNResultsFormatter.CQNBenchmarkResult
benchmarkName - Variable in class jline.bench.mqn.MQNResultsFormatter.MQNBenchmarkResult
benchmarkName - Variable in class jline.bench.oqn.OQNResultsFormatter.OQNBenchmarkResult
BenchmarkRegression - Class in jline.bench: Handles benchmark regression testing by storing and comparing against baseline scores
BenchmarkRegression() - Constructor for class jline.bench.BenchmarkRegression
BenchmarkRegression.BenchmarkResult - Class in jline.bench: Container for benchmark results
BenchmarkRegression.RegressionBaseline - Class in jline.bench: Container for regression baseline data
BenchmarkRegression.RegressionComparison - Class in jline.bench: Container for regression comparison results
BenchmarkResult() - Constructor for class jline.bench.fj.BenchFJ_Closed.BenchmarkResult
BenchmarkResult() - Constructor for class jline.bench.fj.BenchFJ_Mixed.BenchmarkResult
BenchmarkResult() - Constructor for class jline.bench.fj.BenchFJ_Nested.BenchmarkResult
BenchmarkResult() - Constructor for class jline.bench.fj.BenchFJ_Open.BenchmarkResult
BenchmarkResult(double, double, double, double) - Constructor for class jline.bench.cqn.BenchCQN_FCFS.BenchmarkResult
BenchmarkResult(double, double, double, double) - Constructor for class jline.bench.cqn.BenchCQN_PS.BenchmarkResult
BenchmarkResult(String) - Constructor for class jline.bench.BenchmarkRegression.BenchmarkResult
BenchmarkSolverFactory(SolverType) - Constructor for class jline.bench.lqn.SimpleLQNBenchmark.BenchmarkSolverFactory
benchmarkSolvers() - Method in class jline.api.wf.WorkflowManager
benchmarkSolvers(List<String>) - Method in class jline.api.wf.WorkflowManager
BenchmarkSolvers - Class in jline.bench: Benchmark solver initialization utility
BenchmarkSolvers() - Constructor for class jline.bench.BenchmarkSolvers
BenchmarkUtils - Class in jline.bench: Utility functions for benchmarking
BenchmarkUtils() - Constructor for class jline.bench.BenchmarkUtils
BenchMQN_FCFS - Class in jline.bench.mqn: Benchmark for Mixed Queueing Networks with FCFS scheduling.
BenchMQN_FCFS() - Constructor for class jline.bench.mqn.BenchMQN_FCFS
BenchMQN_PS - Class in jline.bench.mqn: Benchmark for Mixed Queueing Networks with Processor Sharing (PS) scheduling.
BenchMQN_PS() - Constructor for class jline.bench.mqn.BenchMQN_PS
BenchMQNTemplate - Class in jline.bench.mqn: Template for MQN (Mixed Queueing Network) benchmark implementations.
BenchMQNTemplate() - Constructor for class jline.bench.mqn.BenchMQNTemplate
BenchOQN_FCFS - Class in jline.bench.oqn: Benchmark for Open Queueing Networks with FCFS scheduling.
BenchOQN_FCFS() - Constructor for class jline.bench.oqn.BenchOQN_FCFS
BenchOQN_PS - Class in jline.bench.oqn: Benchmark for Open Queueing Networks with Processor Sharing (PS) scheduling.
BenchOQN_PS() - Constructor for class jline.bench.oqn.BenchOQN_PS
BenchOQNTemplate - Class in jline.bench.oqn: Template for OQN (Open Queueing Network) benchmark implementations.
BenchOQNTemplate() - Constructor for class jline.bench.oqn.BenchOQNTemplate
beq - Variable in class jline.api.mapqn.Mapqn_qrf_noblo_mmi.ConstraintSet
Bernoulli - Class in jline.lang.processes: A Bernoulli distribution for modeling binary random variables.
Bernoulli(double) - Constructor for class jline.lang.processes.Bernoulli
BERNOULLI - Enum constant in enum jline.lang.constant.ProcessType
Bernoulli1Result - Class in jline.api.dqsys: Steady-state quantities of a state dependent Bernoulli server.
Bernoulli1Result(int, double[], double[], double[], double[], double, double, double, double, double, double, double, double, double) - Constructor for class jline.api.dqsys.Bernoulli1Result
bestPerGen - Variable in class jline.opt.solver.de.DifferentialEvolution.Result
beta - Variable in class jline.api.fj.FJ_tail_forktail.GEFit
beta - Variable in class jline.api.pfqn.nc.Pfqn_clw.Options: Multipliers on the scale parameters alpha_j, the manual tuning of page 956.
beta - Variable in class jline.api.sim.QuestOptions: Significance level of the stage tests.
beta - Variable in class jline.inference.api.VariationalResult: (P) posterior Gamma rates.
beta - Variable in class jline.lib.butools.dph.CanonicalFromDPH2.DPH2Representation
beta - Variable in class jline.lib.butools.dph.CanonicalFromDPH3.DPH3Representation
beta0 - Variable in class jline.inference.api.VariationalSpec: (P) Gamma prior rates.
betarate - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
betascv - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
betaTrace - Variable in class jline.inference.api.VariationalResult: (P x iter) posterior rate per iteration.
betheGradient(double[], double[], int, int, int[], int, int[], int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi: Gradient of Mapqn_qrf_noblo_mmi.betheObjective(double[], int, int, int[], int, int[], int), accumulated into grad.
betheObjective(double[], int, int, int[], int, int[], int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi: Tree-reweighted (Bethe) free entropy at the uniform spanning-tree weight, the objective of qrf.bethe.
BethePermanent - Class in jline.lib.perm: Implementation of Sum Product Algorithm (SPA) to approximate the Bethe permanent.
BethePermanent(Matrix) - Constructor for class jline.lib.perm.BethePermanent
BethePermanent(Matrix, double, int) - Constructor for class jline.lib.perm.BethePermanent
BethePermanent(Matrix, double, int, boolean) - Constructor for class jline.lib.perm.BethePermanent
bgchainStates(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_bgchain: Number of states of the background-chain CTMC this solver would build on the model, WITHOUT building it.
BICGSTAB_DEFAULT_MAXIT - Static variable in class jline.api.mc.Ctmc_bicgstab: Default cap on complete iterations.
BICGSTAB_DEFAULT_TOL - Static variable in class jline.api.mc.Ctmc_bicgstab: Default linear-solve residual, as in Ctmc_gmres.
binaryCheck(long, int) - Static method in class jline.lib.lti.cme
bind - Variable in class jline.solvers.fluid.petri.PetriImmediate: The input coordinate each active mode is bound by; -1 when inactive.
binding - Variable in class jline.api.cache.Cache_spm_size.Result: Whether each list's cost cap binds.
binding - Variable in class jline.api.sn.SnToQrfCapacity.Result: (nstations) true where the buffer can refuse a job.
bindingCapacityReason(Network, NetworkStruct, String) - Static method in class jline.solvers.NetworkSolver: THE TEST ITSELF IS Network.findBindingCapacity, one predicate with two callers: this gate, which words the refusal, and Network.getUsedLangFeatures, which marks the registry name FiniteCapacity on the same answer, so a solver method that does not declare the name is refused by the feature set on exactly the models this gate refuses.
binds - Variable in class jline.lang.Network.BindingCapacity
binHist(Matrix, int, int) - Static method in class jline.util.Maths: Implementation of MATLAB "hist": puts elements of v into k bins
binom(int, int) - Static method in class jline.lib.lti.abatewhitt
binomial - Variable in class jline.io.Ret.pfqnQlenMoments
Binomial - Class in jline.lang.processes: A Binomial distribution
Binomial(int, double) - Constructor for class jline.lang.processes.Binomial
BINOMIAL - Enum constant in enum jline.lang.constant.ProcessType
binomialCoeff(int, int) - Static method in class jline.util.Maths: Computes the binomial coefficient "n choose k" by doing the work in log-space then exponentiating with FastMath.exp().
bisectionSizing() - Static method in class jline.examples.opt.LineOptExamples: Same sizing solved exactly with BisectionSolver.
BisectionSolver - Class in jline.opt.solver: Exact O(log n) solver for a single integer decision variable with monotone feasibility (the standard sizing pattern), an alternative to differential evolution.
BisectionSolver(OptimizationProblem) - Constructor for class jline.opt.solver.BisectionSolver
BisectionSolver(OptimizationProblem, String) - Constructor for class jline.opt.solver.BisectionSolver
Bk - Variable in class jline.api.qsys.QsysBmapM1Result: Randomized blocks Bk[k] = (1/q)D_k, raising the level by k; index 1..K.
BLE_CORRECTION - Static variable in class jline.api.pfqn.nc.Pfqn_ble: The eps->0 bias in nats per Laplaced direction.
blkdiag(Matrix, Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Block-diagonal [[A 0];[0 B]].
block(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.butools.mam.FluidTools: 2x2 block matrix [[A B];[C D]].
blocked - Variable in class jline.io.Ret.pfqnManjunath
blocked - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Total blocked mass; station queues sum to N minus this.
blocked(NetworkStruct, int, Matrix) - Static method in class jline.lang.state.ReplyBlock: Per-class counts of servers held at node ind by jobs that made a synchronous call and are waiting for their REPLY signal.
BlockedPair(int, int, int) - Constructor for class jline.api.cache.Cache_cost_pathcheck.BlockedPair
blockedResolvesToDae(Network, NetworkStruct, SolverOptions) - Static method in class jline.solvers.fluid.SolverFluid: Does options.method = "default" stand for "dae" on this model? True exactly when a buffer or a capacity region BINDS and the DAE route accepts the model.
blockedTotal(NetworkStruct, int, Matrix) - Static method in class jline.lang.state.ReplyBlock: Total number of servers held for pending replies, one entry per row of spaceVar.
blockers - Variable in class jline.api.sn.SnToQrfBlocking.Result: 1-based station indices that can be blocked behind f.
blocking(Node) - Static method in class jline.lang.reward.Reward: Blocking reward: 1 when the node holds at least as many jobs as its capacity, 0 otherwise.
Blocking - Enum constant in enum jline.lang.reward.RewardDescriptor.Kind
BlockingAfterService - Enum constant in enum jline.lang.constant.DropStrategy
BlockingBeforeService - Enum constant in enum jline.lang.constant.DropStrategy
blockingList - Variable in class jline.api.cache.Cache_cost_pathcheck.BlockedPair
blockOf(int, int) - Method in class jline.lang.state.CtmcPool: Index of pool t among the compatible pools of class r, or -1.
blockProb - Variable in class jline.io.Ret.lossnErlangFP
blocks(Polling.Info, int, int[], int) - Static method in class jline.lang.state.Polling: Every controller configuration compatible with a service facility holding a class-srvclass job (-1 when empty) and buffers holding nbuf.
blocProb - Variable in class jline.api.qsys.Qsys_mmcc_retrial_fp.Result: Fraction of arrivals blocked, hence retried.
BMAP - Class in jline.lang.processes: A Batch Markovian Arrival Process (BMAP) BMAP is a point process where arrivals occur in batches.
BMAP - Enum constant in enum jline.lang.constant.ProcessType
BMAP() - Constructor for class jline.lang.processes.BMAP: Default constructor creating an empty BMAP
BMAP(MatrixCell) - Constructor for class jline.lang.processes.BMAP: Construct a BMAP from a MatrixCell containing {D0, D1, D2, ..., Dk}
BMAP(Matrix, Matrix...) - Constructor for class jline.lang.processes.BMAP: Construct a BMAP from D0 and variable number of Dk matrices
bmap_sample(MatrixCell, long, Random) - Static method in class jline.api.mam.Map_sample: Generates samples from a BMAP (Batch Markovian Arrival Process).
bmap_sample(Matrix, Matrix, Matrix[], long, Random) - Static method in class jline.api.mam.Map_sample: Generates samples from a BMAP using D0, D1_total, and individual Dk matrices.
bmapm1 - Variable in class jline.solvers.mam.MAMInternals: M/G/1-type internals of a BMAP/M/1 queue, or null for a retrial station.
BMAPMAP1Result - Class in jline.solvers.mam.handlers: Result of BMAP/MAP/1 queue analysis.
BMAPMAP1Result(double, double, double, double, Matrix, Matrix, double) - Constructor for class jline.solvers.mam.handlers.BMAPMAP1Result
BmapSample - Class in jline.api.mam: Result of BMAP sampling containing inter-arrival time and batch size.
BmapSample(double, int) - Constructor for class jline.api.mam.BmapSample
BmapSampler(MatrixCell) - Constructor for class jline.api.mam.Map_sample.BmapSampler
BMMAPt - Class in jline.lang.processes: BATCH, MARKED, time-inhomogeneous Markovian arrival process (BMMAP_t).
BMMAPt(double[], List<Matrix>, List<List<List<Matrix>>>) - Constructor for class jline.lang.processes.BMMAPt: Creates a cyclic BMMAP_t.
BMMAPt(double[], List<Matrix>, List<List<List<Matrix>>>, boolean) - Constructor for class jline.lang.processes.BMMAPt: Creates a BMMAP_t with a piecewise-constant batch marked matrix schedule.
BMMAPT - Enum constant in enum jline.lang.constant.ProcessType: BMMAPT crosses the BATCH axis with the two above: a block is indexed by segment, mark and batch size, and one epoch releases a batch of jobs that all carry the same mark.
body - Variable in class jline.examples.parity.ParityExample
BogackiShampine23Integrator - Class in org.apache.commons.math3.ode.nonstiff: Bogacki-Shampine 3(2) embedded Runge-Kutta integrator, the method MATLAB's ode23 implements.
BogackiShampine23Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.BogackiShampine23Integrator: Builds an integrator with per-component tolerances.
BogackiShampine23Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.BogackiShampine23Integrator: Builds an integrator with scalar tolerances.
bool - Variable in class jline.solvers.ctmc.SolverCTMC.SupportResult
BootstrapResults(Mtrace_bootstrap.TraceStatistics, List<Mtrace_bootstrap.TraceStatistics>, Map<String, double[]>, int) - Constructor for class jline.api.trace.Mtrace_bootstrap.BootstrapResults
bound - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
bound - Variable in class jline.api.spn.Spn_mdd.SpnOptions: Per-place-level token bound; null infers it from a place invariant.
bound - Variable in class jline.api.spn.Spn_pf.SpnPfOptions: Per-place-level token bound, passed to spn_mdd; null infers it.
bound - Variable in class jline.inference.api.VariationalResult: evidence lower bound per iteration.
bound - Variable in class jline.inference.lang.EstimatorOptions: Evidence lower bound per iteration, left behind by the variational estimator.
BOUND_DET - Static variable in class jline.solvers.MethodType
BOUND_TO - Enum constant in enum jline.io.ModelVisualizer.EdgeType
boundary - Variable in class jline.lib.smc.GIM1PiOptions
Bounds() - Constructor for class jline.solvers.ba.SolverBA.Bounds
bounds2ndOrder(double, double, double) - Static method in class jline.lib.kpctoolbox.APH
bounds3rdOrder(double, double, double) - Static method in class jline.lib.kpctoolbox.APH
boundTo(String) - Method in class jline.lang.layered.Activity
boundTo(Entry) - Method in class jline.lang.layered.Activity
boundToActivity - Variable in class jline.lang.layered.Entry
boundToEntry - Variable in class jline.lang.layered.Activity
bqe - Variable in class jline.api.sim.StsQuantileStats: Batched quantile estimators, one per batch.
bracketAvailable - Variable in class jline.api.fj.FJ_charmax_ext.FJCharMaxBlomResult
branch - Variable in class jline.api.lqn.LqnBalanceEquations.Relation: Which case produced a little record (ref, inf, queueing, fwd, arrival), the call type of a callflow, or the server kind of a hostutil.
branch - Variable in class jline.lang.StateDepRouting: branch[b] holds the centers of branch b, b >= 1; branch[0] is unused.
BRANCH - Enum constant in enum jline.lib.kpctoolbox.aph.APH.ConvolutionPattern
branches - Variable in class jline.api.wf.Wf_analyzer.DetectedPatterns
branchheads - Variable in class jline.lang.FJSync
branchNodes - Variable in class jline.lang.StateDepRouting: Branch nodes as declared; branchNodes.get(0) is null.
BranchPattern(List<Integer>, List<Double>, Integer, Integer) - Constructor for class jline.api.wf.Wf_branch_detector.BranchPattern
branchProb - Variable in class jline.lang.sections.Forker: Per-destination, per-class branch activation probabilities.
breakdown - Variable in class jline.lang.Environment.NodeFailure: Distribution of the time until breakdown (UP -> DOWN).
breakdownMu - Variable in class jline.lang.NetworkStruct: (nstations x 1) failure rate of an up server (0 = never fails).
breakdownProc - Variable in class jline.lang.NetworkStruct: Failure-time (D0,D1) representation per station.
breakdownResetPolicy - Variable in class jline.lang.Environment.NodeFailure: Named breakdown reset policy: "keep", "clear", or "custom" (not serializable).
broadcastColPlusRow(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Computes the element-wise sum of a column vector and a row vector, producing a matrix where each entry (i, j) is the sum of colVector[i] and rowVector[j].
bub - Variable in class jline.api.mapqn.Mapqn_qrf_noblo_mmi.ConstraintSet
budget(Polling.Info, int) - Static method in class jline.lang.state.Polling: Initial value of the ctr column of a visit that starts at a buffer holding nbufq waiting jobs.
BudgetConstraint - Class in jline.opt.objectives: Budget constraint: total cost <= budget, cost from variable values.
BudgetConstraint(double, Map<String, Double>) - Constructor for class jline.opt.objectives.BudgetConstraint
BudgetConstraint(double, Map<String, Double>, String) - Constructor for class jline.opt.objectives.BudgetConstraint
Buffer - Class in jline.lang.sections: Input buffer of a station
Buffer(List<JobClass>) - Constructor for class jline.lang.sections.Buffer
bufferRefusal(NetworkStruct) - Static method in class jline.solvers.mam.SolverMAM: Why no MAM method can answer a model whose finite buffer a CLOSED class can fill, or "" when every binding buffer is reached by open classes only.
bufferStates - Variable in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.NrmSpaceResult
build() - Method in class jline.api.mdd.MddLocalMatrix.Builder
build() - Method in class jline.gen.Cluster: Builds the Network model from the current configuration.
build() - Method in class jline.solvers.NetworkSolver.SolverConfigurator
build(int, boolean[][], Matrix, Matrix, Map<Station, Map<JobClass, Matrix>>, List<Station>, List<JobClass>, Matrix, SolverOptions) - Static method in class jline.solvers.fluid.handlers.FluidRateMultiplier: Builds the multiplier for the closing machinery described by the given event mapping, or returns null when no time-varying channel is set.
build(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.handlers.Solver_ctmc_fcr_waitq
build(NetworkStruct, SolverOptions) - Static method in class jline.solvers.fluid.FluidODEsExporter: Build the structural description of the ODE system for the method set in the solver options.
build(NetworkStruct, SolverOptions) - Static method in class jline.solvers.fluid.petri.PetriTerms
build(SolverOptions, List<Integer>, int[], int[], NetworkStruct) - Static method in class jline.solvers.fluid.analyzers.FluidStateRateMultiplier: Builds the multiplier for the kept ODE states, or returns null when no schedule is configured, so the caller keeps the legacy autonomous ODE numerically unchanged.
build_index(int, int) - Static method in class jline.lib.fjcodes.FjCodesUtils: Build combinatorial index patterns: enumerate all ways to distribute cr items into m bins.
build_index(int, int) - Static method in class jline.lib.fjcodes.FJUtils: Build combinatorial index patterns.
build_SA(FJService, FJServiceH, int) - Static method in class jline.lib.fjcodes.BuildSA: Build state transition matrices S and A_jump.
build_Service_h(FJService) - Static method in class jline.lib.fjcodes.BuildServiceH: Build service representation for a 2-node FJ job.
buildClosedEquivalentForPS(Queue) - Method in class jline.inference.lang.ParamEstimator
buildConstraints(double[][][][], int, int, double[][], int[], int, int[], int, int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi: Population-free form, matching the q of qrboundsbas_skel.mod.
buildConstraintsLd(double[][][][][], int, int, double[][], int[], int, int[], int, int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi: Load-dependent form, matching the five-index q of qrboundsrsrd_skel.mod:11 whose last index is the population of the EMITTING station.
buildDesign() - Method in class jline.solvers.uq.SolverUQ: Reduce the detected Prior to weighted design points.
Builder(int) - Constructor for class jline.api.mdd.MddLocalMatrix.Builder
buildFamilySolver(String, SolverOptions) - Method in class jline.solvers.auto.SolverAUTO: Instantiate the solver of a method family.
buildGraph() - Method in class jline.io.ModelVisualizer: Builds a JUNG graph from the underlying model.
buildHeap() - Method in class jline.util.IndexedMinHeap: Establish heap order after bulk-writing into key[] directly.
buildLayers() - Method in class jline.solvers.ln.SolverLN
buildLayersPH() - Method in class jline.solvers.ln.SolverLN
buildLayersPH(boolean) - Method in class jline.solvers.ln.SolverLN: Build the ensemble of a PH encoding.
buildLayersRecursive(int, List<Integer>, boolean) - Method in class jline.solvers.ln.SolverLN
buildLayersRecursive(List<Integer>, List<Integer>, boolean, boolean) - Method in class jline.solvers.ln.SolverLN
buildModel(int) - Static method in class jline.examples.java.advanced.LDESWarmStartExample: Closed near-balanced tandem: Think(Exp,1) -> Queue1(Exp,1.0) -> Queue2(Exp,0.98).
BuildSA - Class in jline.lib.fjcodes
BuildServiceH - Class in jline.lib.fjcodes: Build PH representation for 2-node Fork-Join job.
buildSpaceHash(NetworkStruct) - Static method in class jline.lang.state.State
buildSpaceHashMap(Map<StatefulNode, Matrix>) - Static method in class jline.lang.state.State
buildSystem(Mapqn_qr_bounds_bas_parameters) - Static method in class jline.api.mapqn.Mapqn_qr_bounds_bas: Build the constraint system of the BAS model, without an objective.
burnin - Variable in class jline.io.Ret.pfqnMcmc: completions discarded as warm-up.
busy - Variable in class jline.solvers.ag.handlers.QbdTail
busyFraction(NetworkStruct, int, int, SchedStrategy, double, Matrix, Matrix, Matrix, Matrix, int) - Static method in class jline.solvers.ctmc.handlers.CtmcSignalBusy
busyp_subnetwork() - Static method in class jline.examples.java.advanced.BusyPeriodExample: Mean busy period of order n for a subnetwork, exactly and by simulation (busyp_subnetwork.m).
busyPeriodClass - Variable in class jline.solvers.ldes.LDESResult: Class of each target, -1 when the target aggregates every class.
busyPeriodCount - Variable in class jline.solvers.ldes.LDESResult: Number of completed busy periods per target (rows) and order (columns).
BusyPeriodExample - Class in jline.examples.java.advanced: Busy period of a subnetwork, exactly and by simulation.
BusyPeriodExample() - Constructor for class jline.examples.java.advanced.BusyPeriodExample
busyPeriodMean - Variable in class jline.solvers.ldes.LDESResult: Mean busy period duration per target (rows) and order (columns), populated when LDESOptions.busyPeriodOrders is positive.
busyPeriodNames - Variable in class jline.solvers.ldes.LDESResult: Target names, one per row of LDESResult.busyPeriodMean: the station name for an aggregate target and "station:class" for a per-class one.
busyPeriodOrders - Variable in class jline.solvers.ldes.LDESOptions: Highest busy period order measured along the sample path.
busyPeriods(int) - Method in class jline.solvers.ldes.LDESOptions: Measures the busy periods of orders 1..orders.
busyPeriodStations - Variable in class jline.solvers.ldes.LDESResult: Station indexes forming each target, one entry per row.
busyPeriodSubnet(int...) - Method in class jline.solvers.ldes.LDESOptions: Adds a station set whose joint busy period is measured.
busyPeriodSubnets - Variable in class jline.solvers.ldes.LDESOptions: Station sets whose joint busy periods are measured, each given as station indexes.

C

c - Variable in class jline.api.cache.CacheSojourn.Clock
c - Variable in class jline.api.pfqn.sens.Pfqn_hst.Result: Sensitivity coefficients c_k, k = 1..N (eq.
c - Variable in class jline.io.Ret.pfqnFnc
c - Variable in class jline.lib.lti.iltcme.CmeEntry
c - Variable in class jline.solvers.fluid.petri.PetriMode: Server count; infinite for an unbounded mode.
C - Variable in class jline.api.fj.FJ_parallel.FJDagMakespanResult
C - Variable in class jline.api.pfqn.ld.Pfqn_qdlin.Result: (1 x R) per-class cycle times, think time included.
C - Variable in class jline.api.pfqn.mva.Pfqn_mvasjn.Result: Residence times (M x R).
C - Variable in class jline.api.pfqn.Pfqn_marie.MultiResult
C - Variable in class jline.api.pfqn.Pfqn_marie.Result
C - Variable in class jline.api.pfqn.Pfqn_sdr.Coeff: Coefficients C_t.
C - Variable in class jline.api.qsys.QsysTandemUbResult: Coefficient C of the test function gamma, fixed by Lemma 4.
C - Variable in class jline.io.Ret.pfqnAMVA
C - Variable in class jline.io.Ret.pfqnAMVAMS
C - Variable in class jline.io.Ret.pfqnAMVASchmidt: Waiting time matrix (M x R)
C - Variable in class jline.io.Ret.pfqnDAC
C - Variable in class jline.io.Ret.snDeaggregateChainResults
C - Variable in class jline.lang.StateDepRouting: Coefficients C_t of eq.
C - Variable in class jline.solvers.fluid.petri.PetriConservation: (nrows x nstate) conservation rows.
C - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
C - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
C - Variable in class jline.solvers.tr.TransformSolve.Lifted
C - Variable in class jline.solvers.tr.TransformSolve.Result
c0 - Variable in class jline.api.pfqn.PfqnResptPsResult: Leading coefficient of E[W^2] ~ c0 + c1/expansionParam; NaN on the exact route.
c1 - Variable in class jline.api.pfqn.PfqnResptPsResult: First correction of E[W^2] ~ c0 + c1/expansionParam; NaN on the exact route.
C1 - Variable in class jline.api.trace.Mtrace_summary.MtraceSummary
c2 - Variable in class jline.api.fj.FJ_maxima.FJXmaxCoxianResult
C2 - Variable in class jline.api.trace.Mtrace_summary.MtraceSummary
c2a - Variable in class jline.api.npfqn.Npfqn_traffic_idc
c2a0 - Variable in class jline.api.npfqn.Npfqn_traffic_idc
c2aij - Variable in class jline.api.npfqn.Npfqn_traffic_idc
c2alpha - Variable in class jline.api.npfqn.Npfqn_traffic_idc
c2d - Variable in class jline.api.npfqn.Npfqn_traffic_idc
c2x - Variable in class jline.api.npfqn.Npfqn_traffic_idc
cA - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
cache - Variable in class jline.solvers.SolverOptions: Enable result caching to avoid recomputation
Cache - Class in jline.lang.nodes: A cache node that implements cache replacement policies and class switching based on cache hits and misses.
Cache - Enum constant in enum jline.lang.constant.NodeType: Cache node - implements cache replacement with hit/miss routing
Cache(Network, String, int, int, ReplacementStrategy) - Constructor for class jline.lang.nodes.Cache: Creates a single-level cache with the specified item capacity and replacement policy.
Cache(Network, String, int, int, ReplacementStrategy, Matrix[]) - Constructor for class jline.lang.nodes.Cache: Creates a single-level cache with the specified item capacity, replacement policy, and graph structure.
Cache(Network, String, int, Matrix, ReplacementStrategy) - Constructor for class jline.lang.nodes.Cache: Creates a multi-level cache with different capacities per level and a replacement policy.
Cache(Network, String, int, Matrix, ReplacementStrategy, Matrix[]) - Constructor for class jline.lang.nodes.Cache: Creates a multi-level cache with different capacities per level, replacement policy, and graph structure.
CACHE - Enum constant in enum jline.io.ModelVisualizer.NodeType
cache_compare_replc() - Static method in class jline.examples.java.basic.CacheExamples
cache_compare_replc() - Static method in class jline.examples.java.basic.CacheModel: Cache model with Zipf access pattern and Round Robin replacement.
cache_cost(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.cache.Cache_cost: Computes K_j = sum_i sigma_i pi_ij, the expected storage cost of the items resident in each list at steady state, as defined in Casale-Gast, IEEE/ACM Trans.
cache_cost(Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.cache.Cache_cost: Computes the mean per-list storage cost from a precomputed occupancy matrix.
Cache_cost - Class in jline.api.cache
cache_cost_pathcheck(Matrix, Matrix, Matrix, int[]) - Static method in class jline.api.cache.Cache_cost_pathcheck: Detects promotion paths blocked by storage cost caps.
Cache_cost_pathcheck - Class in jline.api.cache
Cache_cost_pathcheck.BlockedPair - Class in jline.api.cache: One (item, list) pair that is size-feasible for the list but unreachable because an intermediate list on the promotion path rejects the item.
cache_erec(Matrix, Matrix) - Static method in class jline.api.cache.Cache_erec: Computes the cache miss rate using an exact recursive method.
cache_erec(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.cache.Cache_erec: Computes the normalizing constant under per-list storage cost caps, E(m,k) = E_i(m,k) + sum_j m_j gamma_ij E_i(m-1_j, k-sigma_i 1_j), with the extra boundary E(m,k)=0 whenever some residual cap is negative.
Cache_erec - Class in jline.api.cache
cache_erec_aux(Matrix, Matrix, int) - Static method in class jline.api.cache.Cache_erec: Auxiliary method for computing the cache miss rate using an exact recursive method.
cache_gamma(MatrixCell, MatrixCell) - Static method in class jline.api.cache.Cache_gamma: Computes access factors for the cache.
Cache_gamma - Class in jline.api.cache
cache_gamma_lp(Matrix[], Matrix[][]) - Static method in class jline.api.cache.Cache_gamma_lp: Computes access factors for the cache.
Cache_gamma_lp - Class in jline.api.cache
cache_is(Matrix, Matrix) - Static method in class jline.api.cache.Cache_is
cache_is(Matrix, Matrix, int) - Static method in class jline.api.cache.Cache_is: Estimate the normalizing constant of the cache steady state distribution using Monte Carlo importance sampling.
cache_is(Matrix, Matrix, int, Matrix, Matrix) - Static method in class jline.api.cache.Cache_is: Estimate the (cost-capped) normalizing constant with the feasibility indicator I{S in O} of Casale-Gast, IEEE/ACM Trans.
Cache_is - Class in jline.api.cache
cache_itemsize_costcap() - Static method in class jline.examples.java.basic.CacheModel: Cache with per-item storage costs (sizes) and per-list cost caps.
cache_miss(Matrix, Matrix) - Static method in class jline.api.cache.Cache_miss
cache_miss(Matrix, Matrix, Matrix) - Static method in class jline.api.cache.Cache_miss
cache_miss(Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.cache.Cache_miss: Computes cache miss metrics, optionally under per-list storage cost caps.
Cache_miss - Class in jline.api.cache
cache_miss_asy(Matrix, Matrix) - Static method in class jline.api.cache.Cache_miss_asy
cache_miss_asy(Matrix, Matrix, int, double) - Static method in class jline.api.cache.Cache_miss_asy: Compute cache miss rates using asymptotic approximation (Fixed Point Iteration method).
Cache_miss_asy - Class in jline.api.cache
cache_miss_fifo_rmf(Matrix, Matrix, Matrix[]) - Static method in class jline.api.cache.Cache_miss_fifo_rmf: Steady-state FIFO(m) miss rates via the position-resolved mean field.
cache_miss_fifo_rmf(Matrix, Matrix, Matrix[], Matrix[][]) - Static method in class jline.api.cache.Cache_miss_fifo_rmf: FIFO(m) miss rates honouring a custom access graph.
Cache_miss_fifo_rmf - Class in jline.api.cache: Position-resolved mean-field miss rates for FIFO(m) caches.
cache_miss_fifo_rmf_tran(Matrix, Matrix, Matrix[], double, int, double[]) - Static method in class jline.api.cache.Cache_miss_fifo_rmf: Transient FIFO(m) cache trajectory via the position-resolved mean field.
cache_miss_fifo_rmf_tran(Matrix, Matrix, Matrix[], double, int, double[], Matrix[][]) - Static method in class jline.api.cache.Cache_miss_fifo_rmf: Transient FIFO(m) cache trajectory honouring a custom access graph.
cache_miss_fifo_rmf_tran(Matrix, Matrix, Matrix[], double, int, double[], Matrix[][], CacheSojourn.Clock) - Static method in class jline.api.cache.Cache_miss_fifo_rmf: As above, and with a non-null clk also the grid-independent average of the transient against that clock (CacheMissRmfTranResult.sojourn).
cache_miss_fpi(Matrix, Matrix) - Static method in class jline.api.cache.Cache_miss_fpi
cache_miss_fpi(Matrix, Matrix, MatrixCell) - Static method in class jline.api.cache.Cache_miss_fpi: Compute cache miss rates using Fixed Point Iteration (FPI) method.
Cache_miss_fpi - Class in jline.api.cache
cache_miss_is(Matrix, Matrix, MatrixCell) - Static method in class jline.api.cache.Cache_miss_is
cache_miss_is(Matrix, Matrix, MatrixCell, int) - Static method in class jline.api.cache.Cache_miss_is: Computes cache miss rates using Monte Carlo importance sampling.
cache_miss_is(Matrix, Matrix, MatrixCell, int, Matrix, Matrix) - Static method in class jline.api.cache.Cache_miss_is: Computes cache miss rates by importance sampling, optionally under per-list storage cost caps.
Cache_miss_is - Class in jline.api.cache
cache_miss_rayint(Matrix, Matrix, MatrixCell) - Static method in class jline.api.cache.Cache_miss_rayint: Estimates the cache miss rate and related metrics using the ray method for PDEs.
Cache_miss_rayint - Class in jline.api.cache
cache_miss_rmf(Matrix, Matrix, Matrix[]) - Static method in class jline.api.cache.Cache_miss_rmf: Compute cache miss rates using the refined mean-field method.
cache_miss_rmf(Matrix, Matrix, Matrix[], Matrix[][]) - Static method in class jline.api.cache.Cache_miss_rmf: Compute cache miss rates, honouring a custom access graph.
Cache_miss_rmf - Class in jline.api.cache: Refined mean-field (1/N-accurate) miss rates for RANDOM(m) caches.
cache_miss_rmf_tran(Matrix, Matrix, Matrix[], double, int, double[]) - Static method in class jline.api.cache.Cache_miss_rmf: Transient refined mean-field cache trajectory.
cache_miss_rmf_tran(Matrix, Matrix, Matrix[], double, int, double[], CacheSojourn.Clock) - Static method in class jline.api.cache.Cache_miss_rmf: As above, and with a non-null clk also the grid-independent average of the transient against that clock (CacheMissRmfTranResult.sojourn).
cache_miss_rmf_tran(Matrix, Matrix, Matrix[], double, int, double[], Matrix[][], CacheSojourn.Clock) - Static method in class jline.api.cache.Cache_miss_rmf: As above, honouring the access graph accost ([user][item], null for the linear chain): the transient then follows the general drift the graph's fixed point is taken on, as in Cache_miss_rmf.cache_miss_rmf(Matrix, Matrix, Matrix[], Matrix[][]).
cache_miss_sfifo_rmf(Matrix, Matrix, Matrix[]) - Static method in class jline.api.cache.Cache_miss_sfifo_rmf: Compute strict FIFO(m) cache miss rates via the position-resolved mean field.
cache_miss_sfifo_rmf(Matrix, Matrix, Matrix[], Matrix[][]) - Static method in class jline.api.cache.Cache_miss_sfifo_rmf: Strict FIFO(m) miss rates honouring a custom access graph.
Cache_miss_sfifo_rmf - Class in jline.api.cache: Position-resolved mean-field miss rates for strict FIFO(m) caches.
cache_miss_sfifo_rmf_tran(Matrix, Matrix, Matrix[], double, int, double[]) - Static method in class jline.api.cache.Cache_miss_sfifo_rmf: Transient strict FIFO(m) cache trajectory via the position-resolved mean field.
cache_miss_sfifo_rmf_tran(Matrix, Matrix, Matrix[], double, int, double[], Matrix[][]) - Static method in class jline.api.cache.Cache_miss_sfifo_rmf: Transient strict FIFO(m) cache trajectory honouring a custom access graph.
cache_miss_sfifo_rmf_tran(Matrix, Matrix, Matrix[], double, int, double[], Matrix[][], CacheSojourn.Clock) - Static method in class jline.api.cache.Cache_miss_sfifo_rmf: As above, and with a non-null clk also the grid-independent average of the transient against that clock (CacheMissRmfTranResult.sojourn).
cache_miss_spm(Matrix, Matrix, MatrixCell) - Static method in class jline.api.cache.Cache_miss_spm
Cache_miss_spm - Class in jline.api.cache
Cache_miss.CacheMissResult - Class in jline.api.cache: Result of cache_miss analysis.
cache_mmap_rr_env() - Static method in class jline.examples.java.basic.CacheModel: The MMAP-fed RR cache of cache_mmap_rr_env.m, solved six ways.
cache_mmap_rr_env(double, double, MarkedMAP) - Static method in class jline.examples.java.basic.CacheModel: MMAP-fed small RR cache with two correlated classes.
cache_mva(Matrix, Matrix) - Static method in class jline.api.cache.Cache_mva: Exact recursive solution of the caching model.
Cache_mva - Class in jline.api.cache
cache_mva_miss(Matrix, Matrix, Matrix) - Static method in class jline.api.cache.Cache_mva_miss: Compute cache miss probabilities using Mean Value Analysis approach.
Cache_mva_miss - Class in jline.api.cache
cache_par(Matrix, int) - Static method in class jline.api.cache.Cache_gamma_lp: Finds the parent of a given list index.
cache_prob_erec(Matrix, Matrix) - Static method in class jline.api.cache.Cache_prob_erec: Computes the cache state probabilities using an exact recursive method.
cache_prob_erec(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.cache.Cache_prob_erec: Computes the cache state probabilities under per-list storage cost caps, pi_ij = m_j gamma_ij E_i(m-1_j, k-sigma_i 1_j) / E(m,k).
Cache_prob_erec - Class in jline.api.cache
cache_prob_fpi(Matrix, Matrix) - Static method in class jline.api.cache.Cache_prob_fpi: Estimate asymptotic values of the cache state probabilities at steady-state.
Cache_prob_fpi - Class in jline.api.cache
cache_prob_is(Matrix, Matrix) - Static method in class jline.api.cache.Cache_prob_is
cache_prob_is(Matrix, Matrix, int) - Static method in class jline.api.cache.Cache_prob_is: Computes cache hit probabilities using Monte Carlo importance sampling.
cache_prob_is(Matrix, Matrix, int, Matrix, Matrix) - Static method in class jline.api.cache.Cache_prob_is: Computes cache hit probabilities by importance sampling, discarding states that breach a per-list storage cost cap (the feasibility indicator of Casale-Gast, IEEE/ACM Trans.
Cache_prob_is - Class in jline.api.cache
cache_prob_rayint(Matrix, Matrix) - Static method in class jline.api.cache.Cache_prob_rayint: Computes the cache state probabilities using the ray method.
Cache_prob_rayint - Class in jline.api.cache
cache_prob_spm(Matrix, Matrix) - Static method in class jline.api.cache.Cache_prob_spm: Computes the cache state probabilities using the ray method.
Cache_prob_spm - Class in jline.api.cache
cache_rayint(Matrix, Matrix) - Static method in class jline.api.cache.Cache_rayint: Approximate the normalizing constant of the cache steady state distribution using the ray method.
Cache_rayint - Class in jline.api.cache
cache_replc_climb() - Static method in class jline.examples.java.basic.CacheModel: Cache with CLIMB (transposition) replacement, closed model over 5 items.
cache_replc_fifo() - Static method in class jline.examples.java.basic.CacheExamples
cache_replc_fifo() - Static method in class jline.examples.java.basic.CacheModel: Closed cache model with feedback from hits and misses.
cache_replc_hlru() - Static method in class jline.examples.java.basic.CacheModel: Cache with h-LRU / LRU(m) replacement, open model over 6 items.
cache_replc_lru() - Static method in class jline.examples.java.basic.CacheExamples: LRU cache replacement (cache_replc_lru.ipynb).
cache_replc_lru() - Static method in class jline.examples.java.basic.CacheModel: Closed cache model with LRU replacement strategy.
cache_replc_qlru() - Static method in class jline.examples.java.basic.CacheModel: Cache with q-LRU replacement, closed model over 5 items.
cache_replc_routing() - Static method in class jline.examples.java.basic.CacheExamples
cache_replc_routing() - Static method in class jline.examples.java.basic.CacheModel: Cache model with multiple delay nodes and random routing.
cache_replc_rr() - Static method in class jline.examples.java.basic.CacheExamples
cache_replc_rr() - Static method in class jline.examples.java.basic.CacheModel: Basic open cache model with Round Robin (RR) replacement strategy.
cache_retrieval_inputs(NetworkStruct) - Static method in class jline.api.retrieval.Cache_retrieval_inputs
cache_retrieval_inputs(NetworkStruct, double) - Static method in class jline.api.retrieval.Cache_retrieval_inputs: Builds the retrieval-algorithm inputs, optionally overriding the read-class arrival rate with lambdaOverride (used for a CLOSED integrated cache-queueing sublayer where the read rate comes from the network solution rather than a Source throughput).
Cache_retrieval_inputs - Class in jline.api.retrieval
Cache_retrieval_inputs.Inputs - Class in jline.api.retrieval
cache_rmf_transient() - Static method in class jline.examples.java.basic.CacheModel: Refined mean field (RMF) transient and steady-state analysis of a two-list RANDOM(m) cache, driven through CacheRMF directly.
cache_rrm_meanfield(Matrix, Matrix) - Static method in class jline.api.cache.Cache_rrm_meanfield: Steady state of the RANDOM(m) mean field with the reference horizon.
cache_rrm_meanfield(Matrix, Matrix, double) - Static method in class jline.api.cache.Cache_rrm_meanfield: Steady state of the RANDOM(m) mean field.
Cache_rrm_meanfield - Class in jline.api.cache: Steady state of the RANDOM(m) multi-list mean field.
cache_rrm_meanfield_ode(Matrix, Matrix, Matrix, int, int) - Static method in class jline.api.cache.Cache_rrm_meanfield_ode: ODE system for RRM (Random Replacement Model) mean field equations.
Cache_rrm_meanfield_ode - Class in jline.api.cache
cache_spm(Matrix, Matrix) - Static method in class jline.api.cache.Cache_spm: Approximate the normalizing constant of the cache steady state distribution using the SPM method.
Cache_spm - Class in jline.api.cache
cache_spm_size(double[][], double[], double[], double[]) - Static method in class jline.api.cache.Cache_spm_size: Cost-capped ray expansion with cumulative caps (matches Cache_erec).
cache_spm_size(double[][], double[], double[], double[], String) - Static method in class jline.api.cache.Cache_spm_size: Cost-capped ray expansion.
Cache_spm_size - Class in jline.api.cache
Cache_spm_size.Result - Class in jline.api.cache: Expansion result.
cache_t_hlru(Matrix, Matrix) - Static method in class jline.api.cache.Cache_t_hlru: Characteristic time of each list of an h-LRU cache, solved by per-list bisection with Gauss-Seidel sweeps.
Cache_t_hlru - Class in jline.api.cache
cache_t_lrum_map(MatrixCell[], MatrixCell[], Matrix) - Static method in class jline.api.cache.Cache_t_lrum_map
Cache_t_lrum_map - Class in jline.api.cache
cache_ttl_hlru(Matrix[], Matrix) - Static method in class jline.api.cache.Cache_ttl_hlru: Steady-state list occupancy probabilities for an h-LRU cache.
Cache_ttl_hlru - Class in jline.api.cache
cache_ttl_lrua(Matrix[], Matrix[][], Matrix) - Static method in class jline.api.cache.Cache_ttl_lrua: Solve LRU caches with access graphs using the TTL tree approximation.
Cache_ttl_lrua - Class in jline.api.cache
cache_ttl_lrum_map(MatrixCell[], MatrixCell[], Matrix) - Static method in class jline.api.cache.Cache_ttl_lrum_map: Aggregate request-weighted hit rate under the LRU(m)-MAP TTL approximation.
Cache_ttl_lrum_map - Class in jline.api.cache
cache_ttl_lrum_map_pij(MatrixCell[], MatrixCell[], Matrix) - Static method in class jline.api.cache.Cache_ttl_lrum_map: Per-item request-weighted probabilities under the LRU(m)-MAP TTL approximation.
cache_ttl_tree(Matrix[], Matrix[][], Matrix) - Static method in class jline.api.cache.Cache_ttl_tree
cache_ttl_tree(Matrix[], Matrix[][], Matrix, Long) - Static method in class jline.api.cache.Cache_ttl_tree
Cache_ttl_tree - Class in jline.api.cache: Tree-based TTL cache analysis implementation for the LINE solver framework.
Cache_ttl_tree.CacheTtlTreeAlgo - Class in jline.api.cache: Cache ttl tree algorithms.
cache_xi_bvh(Matrix, Matrix) - Static method in class jline.api.cache.Cache_xi_bvh: Computes the cache xi terms using the iterative method used in Gast-van Houdt, SIGMETRICS 2015.
Cache_xi_bvh - Class in jline.api.cache
cache_xi_fp(Matrix, Matrix, Matrix) - Static method in class jline.api.cache.Cache_xi_fp
Cache_xi_fp - Class in jline.api.cache
cache_xi_iter(Matrix, Matrix) - Static method in class jline.api.cache.Cache_xi_iter: Computes the cache xi terms using the iterative method (Gast-van Houdt, SIGMETRICS 2015).
Cache_xi_iter - Class in jline.api.cache
Cache.PopularityKey - Class in jline.lang.nodes: A key class for storing popularity distributions in a 2D coordinate system.
Cache.RetrievalRoutingEntry - Class in jline.lang.nodes: A deferred retrieval-system routing edge, injected into the routing matrix by Network.link.
CacheAccess(String, List<String>) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a cache access relationship.
CacheAccess(Activity, List<Activity>) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a cache access relationship.
cacheAN - Variable in class jline.solvers.wrappers.jmt.JMTResult: Cache node arrival rates [nnodes x nclasses].
cacheAvgT() - Method in class jline.solvers.NetworkSolver
CacheClassSwitcher - Class in jline.lang.sections: A class switcher section recording cache hits and misses
CacheClassSwitcher(List<JobClass>, int, Matrix) - Constructor for class jline.lang.sections.CacheClassSwitcher
CacheClassSwitcher(List<JobClass>, int, Matrix, int) - Constructor for class jline.lang.sections.CacheClassSwitcher
CacheClassSwitcher.InputJobClassesObj - Class in jline.lang.sections
cacheCompareReplc() - Static method in class jline.examples.parity.CacheTwins: cache_compare_replc.py: the hit ratio of RR, FIFO and LRU under the exact chain, MVA and the normalizing constants.
cacheDelayedProb - Variable in class jline.solvers.ldes.LNLDESResult: Delayed-hit probability (0 when no retrieval system).
CacheExamples - Class in jline.examples.java.basic
CacheExamples() - Constructor for class jline.examples.java.basic.CacheExamples
CacheFIFORMF - Class in jline.lib.rmf: Position-resolved density-dependent population process (DDPP) mean field for FIFO(m) cache replacement.
CacheFIFORMF(double[], int[]) - Constructor for class jline.lib.rmf.CacheFIFORMF
cacheGamma(Matrix, int, int, int) - Constructor for class jline.io.Ret.cacheGamma: Constructor for initializing the cacheGammaLpReturn object.
cacheGamma(Matrix, int, int, int, int[]) - Constructor for class jline.io.Ret.cacheGamma: Constructor including the tree structure of the cache lists.
cacheHitProb - Variable in class jline.solvers.ldes.LNLDESResult: True-hit probability (excludes delayed hits).
cacheIs(double, double) - Constructor for class jline.io.Ret.cacheIs: Constructor for initializing the cacheIs object.
cacheItemEntryIdx - Variable in class jline.solvers.ldes.LNLDESResult: ItemEntry absolute LQN index for each cache read.
cacheItemProb - Variable in class jline.solvers.mva.MVAResult: Per-cache per-item occupancy [nitems x (lists+1)], keyed by node index (used by the cache+queueing analyzer to populate getAvgItemTable)
cacheItemProb - Variable in class jline.solvers.nc.NCResult: Per-item occupancy of each cache node, (nitems x lists+1) keyed by node index; column 0 = miss.
CacheMissFpiResult - Class in jline.api.cache: Result of cache_miss_fpi: global miss rate, per-user miss rates, per-item miss rates, and per-item miss probabilities.
CacheMissFpiResult(double) - Constructor for class jline.api.cache.CacheMissFpiResult
CacheMissFpiResult(double, Matrix, Matrix, Matrix) - Constructor for class jline.api.cache.CacheMissFpiResult
CacheMissFpiResult(double, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.api.cache.CacheMissFpiResult
cacheMissProb - Variable in class jline.solvers.ldes.LNLDESResult: Miss probability.
cacheMissRayInt(double, double[], double[], double[], double) - Constructor for class jline.io.Ret.cacheMissRayInt: Deprecated.
CacheMissResult(double) - Constructor for class jline.api.cache.Cache_miss.CacheMissResult
CacheMissResult(double, Matrix, Matrix, Matrix) - Constructor for class jline.api.cache.Cache_miss.CacheMissResult
CacheMissRmfTranResult - Class in jline.api.cache: Transient refined-mean-field cache trajectory returned by Cache_miss_rmf.cache_miss_rmf_tran(jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix[], double, int, double[]).
CacheMissRmfTranResult(double[], double[][], double[][], double[][]) - Constructor for class jline.api.cache.CacheMissRmfTranResult
cacheMissSpm(double, double[], double[], double[], double) - Constructor for class jline.io.Ret.cacheMissSpm
CacheModel - Class in jline.examples.java.basic: Examples of caching models
CacheModel() - Constructor for class jline.examples.java.basic.CacheModel
cacheMVA(Matrix, Matrix, Matrix, Matrix, Matrix, int) - Constructor for class jline.io.Ret.cacheMVA: Constructor for initializing the cacheMVAReturn object.
cachenet_tandem() - Static method in class jline.examples.java.basic.CacheExamples: `cachenet_tandem.m`: a tandem of two caches sharing one item set.
cachenet_tandem() - Static method in class jline.examples.java.basic.CacheModel: Tandem of two caches sharing one item set (cachenet_tandem.m).
cacheNodeIndices - Variable in class jline.solvers.wrappers.jmt.JMTResult: List of cache node indices in the network.
CacheNodeParam - Class in jline.lang.nodeparam: Parameter container for cache nodes in queueing networks.
CacheNodeParam() - Constructor for class jline.lang.nodeparam.CacheNodeParam
CachePosGraphRMF - Class in jline.lib.rmf: General position-resolved density-dependent population process (DDPP) mean field for FIFO(m) / strict FIFO(m) caches honouring a per-item access graph.
CachePosGraphRMF(double[], int[], boolean) - Constructor for class jline.lib.rmf.CachePosGraphRMF
cacheRayInt(double, double, Matrix) - Constructor for class jline.io.Ret.cacheRayInt: Deprecated.
cacheReadRate - Variable in class jline.solvers.ldes.LNLDESResult: Read throughput (reads per unit time) into this cache.
CacheResultRecord - Class in jline.solvers: One cache node's average results, as a portable RECORD rather than a write on the node object.
CacheResultRecord() - Constructor for class jline.solvers.CacheResultRecord
CacheResultRecord(String, int) - Constructor for class jline.solvers.CacheResultRecord
cacheResults - Variable in class jline.solvers.SolverResult: Per-cache-node average results, one record per Cache in the model that produced them, or null when the solve reached no cache.
cacheRetrievalClassMap(NetworkStruct, int) - Static method in class jline.lang.state.State: Canonical ordering of the retrieval classes of a cache node.
CacheRetrievalSystemExamples - Class in jline.examples.java.basic: Runnable examples for cache models with a retrieval system (delayed hits).
CacheRetrievalSystemExamples() - Constructor for class jline.examples.java.basic.CacheRetrievalSystemExamples
CacheRetrievalSystemModel - Class in jline.examples.java.basic: Builders for cache models that use a retrieval system (delayed hits).
CacheRetrievalSystemModel() - Constructor for class jline.examples.java.basic.CacheRetrievalSystemModel
CacheRMF - Class in jline.lib.rmf: Multi-list cache with RANDOM(m) replacement as a Density-Dependent Population Process (DDPP).
CacheRMF(double[], int[]) - Constructor for class jline.lib.rmf.CacheRMF: Constructs a CacheRMF model.
CacheRMF.DimensionReduction - Class in jline.lib.rmf: Result of dimension reduction.
CacheRMF.ReducedSystem - Class in jline.lib.rmf: Result of reduced system computation.
CacheRrmMeanfieldResult - Class in jline.api.cache: Result of cache_rrm_meanfield: the terminal occupancy of the RANDOM(m) mean field, the global miss rate and the miss ratio.
CacheRrmMeanfieldResult(Matrix, double, double) - Constructor for class jline.api.cache.CacheRrmMeanfieldResult
caches - Variable in class jline.solvers.fluid.analyzers.CacheTranResult: Cache node indices (rows ordered as found by nodetype==Cache).
CacheSFIFORMF - Class in jline.lib.rmf: Position-resolved density-dependent population process (DDPP) mean field for strict FIFO(m) cache replacement.
CacheSFIFORMF(double[], int[]) - Constructor for class jline.lib.rmf.CacheSFIFORMF
CacheSojourn - Class in jline.api.cache: The average of a cache mean-field trajectory against a phase-type clock, integrated WITH the drift.
CacheSojourn.Clock - Class in jline.api.cache: A phase-type clock: dphi/dt = phi A, phi(0) = phi0, density phi c.
CacheSojourn.Drift - Interface in jline.api.cache: The drift of the cache mean field.
CacheSojourn.Result - Class in jline.api.cache: A sojourn average: occupancy xbar (null when wtot is 0), clock mass, per-user miss rate.
cacheSpm(double, double, Matrix) - Constructor for class jline.io.Ret.cacheSpm: Constructor for initializing the cacheSpmReturn object.
CacheTask - Class in jline.lang.layered: A task that offers caching services
CacheTask(LayeredNetwork, String) - Constructor for class jline.lang.layered.CacheTask
CacheTask(LayeredNetwork, String, int, int[], ReplacementStrategy) - Constructor for class jline.lang.layered.CacheTask
CacheTask(LayeredNetwork, String, int, int[], ReplacementStrategy, int) - Constructor for class jline.lang.layered.CacheTask
CacheTask(LayeredNetwork, String, int, int[], ReplacementStrategy, int, SchedStrategy) - Constructor for class jline.lang.layered.CacheTask
CacheTask(LayeredNetwork, String, int, int[], ReplacementStrategy, int, SchedStrategy, Distribution) - Constructor for class jline.lang.layered.CacheTask
CacheTask(LayeredNetwork, String, int, int, ReplacementStrategy) - Constructor for class jline.lang.layered.CacheTask
CacheTask(LayeredNetwork, String, int, int, ReplacementStrategy, int) - Constructor for class jline.lang.layered.CacheTask
CacheTask(LayeredNetwork, String, int, int, ReplacementStrategy, int, SchedStrategy) - Constructor for class jline.lang.layered.CacheTask
CacheTask(LayeredNetwork, String, int, int, ReplacementStrategy, int, SchedStrategy, Distribution) - Constructor for class jline.lang.layered.CacheTask
cacheTaskIdx - Variable in class jline.solvers.ldes.LNLDESResult: CacheTask absolute LQN index for each cache read.
cacheTN - Variable in class jline.solvers.wrappers.jmt.JMTResult: Cache node throughputs [nnodes x nclasses].
CacheTranResult - Class in jline.solvers.fluid.analyzers: Transient refined-mean-field cache trajectory for a network, produced by FluidCacheTran.
CacheTranResult(double[], int[], double[][][], double[][][], double[][], double[][][]) - Constructor for class jline.solvers.fluid.analyzers.CacheTranResult
CacheTranResult(double[], int[], double[][][], double[][][], double[][], double[][][], double[][][]) - Constructor for class jline.solvers.fluid.analyzers.CacheTranResult
CacheTtlTreeAlgo() - Constructor for class jline.api.cache.Cache_ttl_tree.CacheTtlTreeAlgo
CacheTwins - Class in jline.examples.parity: python/examples/basic/cacheModel/: the replacement-policy comparison, the refined mean-field cache, and the five retrieval systems (delayed hits).
cacheXiFp(Matrix, Matrix, Matrix, int) - Constructor for class jline.io.Ret.cacheXiFp: Creates a new cacheXiFp result object.
calculateBranchDiversity(Wf_branch_detector.BranchPattern) - Static method in class jline.api.wf.Wf_branch_detector
calculateFactors(double[], double[], Matrix[]) - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Per-coordinate service shares evaluated at an explicit closure variance.
calculateFactorsJacobian(double[], double[], Matrix[]) - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Analytic Jacobian of the per-coordinate service shares.
calculateRatesClosing(double[]) - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Raw closing-method event-rate vector, mirroring MATLAB ode_rates_closing: the per-index scheduling correction gathered over the event index set and scaled by the rate base.
calculateRatesClosing(double, double[]) - Method in class jline.solvers.fluid.handlers.PassageTimeODE
call(double[], int) - Method in interface jline.opt.solver.de.DifferentialEvolution.Callback
CALL - Static variable in class jline.lang.layered.LayeredNetworkElement
call_classes_updmap - Variable in class jline.solvers.ln.SolverLN
callCountDist(double) - Static method in class jline.lang.layered.LayeredNetwork: Distribution of the number of calls issued per invocation.
caller - Variable in class jline.lang.layered.LayeredNetworkStruct.CallGroupStruct
callers - Variable in class jline.solvers.ln.SolverLN.PHLayer: Caller tasks with a closed class in this layer.
callexecs - Variable in class jline.api.lqn.LqnPh.EntryWorkflow: Expected executions of each call per entry invocation.
CallGroup(RoutingStrategy, List<String>) - Constructor for class jline.lang.layered.Activity.CallGroup
callgroups - Variable in class jline.lang.layered.LayeredNetworkStruct: Calls dispatched as a group by a routing strategy.
CallGroupStruct(int, RoutingStrategy, List<Integer>) - Constructor for class jline.lang.layered.LayeredNetworkStruct.CallGroupStruct
callhashnames - Variable in class jline.lang.layered.LayeredNetworkStruct
callIdxOf - Variable in class jline.api.lqn.LqnPh.EntryWorkflow: Workflow activity index of each call, -1 when absent.
callMean - Variable in class jline.io.tikz.SequenceDiagramTraverser.Interaction
callnames - Variable in class jline.lang.layered.LayeredNetworkStruct
callOrder - Variable in class jline.lang.layered.Activity
callpair - Variable in class jline.lang.layered.LayeredNetworkStruct
callproc - Variable in class jline.lang.layered.LayeredNetworkStruct: Deprecated.
callproc_mean - Variable in class jline.lang.layered.LayeredNetworkStruct
callproc_params - Variable in class jline.lang.layered.LayeredNetworkStruct
callproc_proc - Variable in class jline.lang.layered.LayeredNetworkStruct
callproc_scv - Variable in class jline.lang.layered.LayeredNetworkStruct
callproc_type - Variable in class jline.lang.layered.LayeredNetworkStruct
callresidt - Variable in class jline.solvers.ln.SolverLN
callresidt - Variable in class jline.solvers.ln.SolverLN.LNState
callresidt_prev - Variable in class jline.solvers.ln.SolverLN
callresidtPrev - Variable in class jline.solvers.ln.SolverLN.LNState
calls - Variable in class jline.api.lqn.LqnRefRoutes.Group: Rows {cidx, fromPos, toPos, aidx, vCall}, positions into entries, vCall per REF cycle.
callservt - Variable in class jline.api.lqn.Lqn_mol.Result: Blocking time per call.
callservt - Variable in class jline.solvers.ln.SolverLN
callservt - Variable in class jline.solvers.ln.SolverLN.LNState
callservt_prev - Variable in class jline.solvers.ln.SolverLN
callservtcdf - Variable in class jline.solvers.ln.SolverLN
callservtPrev - Variable in class jline.solvers.ln.SolverLN.LNState
callservtproc - Variable in class jline.solvers.ln.SolverLN
callservtproc - Variable in class jline.solvers.ln.SolverLN.LNState
callsof - Variable in class jline.lang.layered.LayeredNetworkStruct
calltype - Variable in class jline.lang.layered.LayeredNetworkStruct
CallType - Enum in jline.lang.constant: Constants for defining calls in LayeredNetwork models
CANDIDATE_CTMC - Static variable in class jline.solvers.auto.SolverAUTO
CANDIDATE_FLUID - Static variable in class jline.solvers.auto.SolverAUTO
CANDIDATE_LDES - Static variable in class jline.solvers.auto.SolverAUTO
CANDIDATE_MAM - Static variable in class jline.solvers.auto.SolverAUTO
CANDIDATE_MVA - Static variable in class jline.solvers.auto.SolverAUTO
CANDIDATE_NC - Static variable in class jline.solvers.auto.SolverAUTO
CANDIDATE_SSA - Static variable in class jline.solvers.auto.SolverAUTO
canonical(Object) - Static method in class jline.solvers.tr.TransformMethod: Normalises a transform method name onto its canonical name.
canonical(String) - Static method in class jline.solvers.fluid.analyzers.QsysLimitAnalyzer: The canonical name of an alias.
canonicalFromDMAP2(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.CanonicalFromDMAP2
canonicalFromDMAP2(Matrix, Matrix, double) - Static method in class jline.lib.butools.dmap.CanonicalFromDMAP2: Returns the canonical form of an order-2 discrete Markovian arrival process.
CanonicalFromDMAP2 - Class in jline.lib.butools.dmap
canonicalFromDPH2(double[], Matrix) - Static method in class jline.lib.butools.dph.CanonicalFromDPH2
canonicalFromDPH2(double[], Matrix, double) - Static method in class jline.lib.butools.dph.CanonicalFromDPH2: Overload for double[] alpha.
canonicalFromDPH2(Matrix, Matrix) - Static method in class jline.lib.butools.dph.CanonicalFromDPH2
canonicalFromDPH2(Matrix, Matrix, double) - Static method in class jline.lib.butools.dph.CanonicalFromDPH2
CanonicalFromDPH2 - Class in jline.lib.butools.dph
CanonicalFromDPH2.DPH2Representation - Class in jline.lib.butools.dph: Result class for CanonicalFromDPH2 containing both beta and B.
canonicalFromDPH3(double[], Matrix) - Static method in class jline.lib.butools.dph.CanonicalFromDPH3
canonicalFromDPH3(double[], Matrix, double) - Static method in class jline.lib.butools.dph.CanonicalFromDPH3
canonicalFromDPH3(Matrix, Matrix) - Static method in class jline.lib.butools.dph.CanonicalFromDPH3
canonicalFromDPH3(Matrix, Matrix, double) - Static method in class jline.lib.butools.dph.CanonicalFromDPH3
CanonicalFromDPH3 - Class in jline.lib.butools.dph
CanonicalFromDPH3.DPH3Representation - Class in jline.lib.butools.dph
canonicalFromMAP2(Matrix, Matrix) - Static method in class jline.lib.butools.map.CanonicalFromMAP2
canonicalFromMAP2(Matrix, Matrix, double) - Static method in class jline.lib.butools.map.CanonicalFromMAP2: Returns the canonical form of an order-2 Markovian arrival process.
CanonicalFromMAP2 - Class in jline.lib.butools.map
canonicalFromPH2(double[], Matrix) - Static method in class jline.lib.butools.ph.CanonicalFromPH2
canonicalFromPH2(double[], Matrix, double) - Static method in class jline.lib.butools.ph.CanonicalFromPH2
canonicalFromPH2(Matrix, Matrix) - Static method in class jline.lib.butools.ph.CanonicalFromPH2
canonicalFromPH2(Matrix, Matrix, double) - Static method in class jline.lib.butools.ph.CanonicalFromPH2: Returns the canonical form of an order-2 phase-type distribution.
CanonicalFromPH2 - Class in jline.lib.butools.ph
canonicalFromPH3(double[], Matrix) - Static method in class jline.lib.butools.ph.CanonicalFromPH3
canonicalFromPH3(double[], Matrix, double) - Static method in class jline.lib.butools.ph.CanonicalFromPH3
canonicalFromPH3(Matrix, Matrix) - Static method in class jline.lib.butools.ph.CanonicalFromPH3
canonicalFromPH3(Matrix, Matrix, double) - Static method in class jline.lib.butools.ph.CanonicalFromPH3: Returns the canonical form of an order-3 phase-type distribution.
CanonicalFromPH3 - Class in jline.lib.butools.ph
canonicalMethod(String) - Static method in class jline.solvers.fluid.SolverFluid: The one spelling of a fluid method that every gate tests against.
cap - Variable in class jline.lang.layered.LayeredNetworkElement.LinConRow
cap - Variable in class jline.lang.Network.BindingCapacity
cap - Variable in class jline.lang.NetworkStruct
cap - Variable in class jline.lang.nodes.Router
cap - Variable in class jline.lang.nodes.Station
capacity - Variable in class jline.api.dqsys.Bernoulli1Result: Buffer capacity in jobs, Integer.MAX_VALUE when unbounded.
capacity - Variable in class jline.inference.api.VariationalSpec: (M*R) upper bound on the queue length, infinite by default.
capacity - Variable in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer.DtModel: Buffer capacity, Integer.MAX_VALUE when unbounded.
capacityActive - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Which constraints bound at the reported point.
capacityActive - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
capacityB - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Right-hand side of each capacity constraint.
capacityc - Variable in class jline.lang.state.State.spaceGeneratorNodesResult
capacityClosure(double, double, double, double[], boolean) - Static method in class jline.solvers.fluid.moments.FluidClosures: Moment closure of the station capacity term psi(X) and of its derivative, mirroring MATLAB fluid_capacity_closure.
capacityFraction - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
capacityLabel - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Human-readable origin of each capacity constraint.
capacityLabel - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
capacityRate - Variable in class jline.api.qsys.QsysTvFluidResult: Gamma(t) = s'(t) + s(t)mu(t), the rate at which capacity frees up.
capacityRegion - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Which region each cap came from, -1 for a station buffer.
capacityStaged - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: True where a cap stages the blocked job rather than holding or losing it.
capacityStation - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Which station each cap came from, -1 for a region cap.
capacitySwitches - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Every time the trajectory made a cap start or stop binding, as {t, row, kind} with kind 0 = release, 1 = activate, 2 = a crossing the cap could not hold.
capacityValue - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Value each constrained quantity actually took.
cardinality - Variable in class jline.lang.layered.ItemEntry
cardinality() - Method in class jline.api.mdd.MDD: |S|, the number of stored states.
cartesian(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Cartesian product of two matrices.
CATASTROPHE - Enum constant in enum jline.lang.constant.SignalType
cB - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
cC - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
ccdf - Variable in class jline.api.sn.SnPatienceHandles.Handles: F^c(t) = P(patience > t).
ccdf(DoubleUnaryOperator) - Static method in class jline.api.qsys.Patience: Patience given by its complementary cdf G(t) = 1-F(t).
CCDF - Enum constant in enum jline.api.qsys.Patience.Form: Complementary cdf G(t) = 1-F(t), integrated as in eq.
ccdfAt(double) - Method in class jline.api.qsys.Patience
cD - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
CD - Enum constant in enum jline.lang.constant.ServiceStrategy
CD_PEAK_NORM_WARNING - Static variable in class jline.api.pfqn.ld.CdPeakScaling: Warning emitted when utilization at a class-dependent station is reported as the unscaled offered load (the default convention); the text matches the MATLAB solvers verbatim.
cd_peak_scaling(SerializableFunction<Matrix, Matrix>, int[], int) - Static method in class jline.api.pfqn.ld.CdPeakScaling: Peak of the class-dependence function over the reachable population lattice 0 <= n[r] <= NK[r].
cdf - Variable in class jline.solvers.uq.SolverUQ.EmpiricalCDF
cdf_respt_closed() - Static method in class jline.examples.java.advanced.CDFRespTExamples: Demonstrates CDF of response times for a closed network (cdf_respt_closed.ipynb).
cdf_respt_closed() - Static method in class jline.examples.java.advanced.CDFRespTModel: Closed network with single customer for response time CDF analysis (matches MATLAB cdf_respt_closed.m).
cdf_respt_closed_threeclasses() - Static method in class jline.examples.java.advanced.CDFRespTExamples: Demonstrates CDF of response times for a closed network with three classes (cdf_respt_closed_threeclasses.ipynb).
cdf_respt_closed_threeclasses() - Static method in class jline.examples.java.advanced.CDFRespTModel: Closed network with three classes and class switching (matches MATLAB cdf_respt_closed_threeclasses.m).
cdf_respt_distrib() - Static method in class jline.examples.java.advanced.CDFRespTExamples: Demonstrates CDF of response times with non-exponential distributions (cdf_respt_distrib.ipynb).
cdf_respt_distrib() - Static method in class jline.examples.java.advanced.CDFRespTModel: Closed network with different service distributions (matches MATLAB cdf_respt_distrib.m).
cdf_respt_open_twoclasses() - Static method in class jline.examples.java.advanced.CDFRespTExamples: Demonstrates CDF of response times for an open network with two classes (cdf_respt_open_twoclasses.ipynb).
cdf_respt_open_twoclasses() - Static method in class jline.examples.java.advanced.CDFRespTModel: Open network with two classes (matches MATLAB cdf_respt_open_twoclasses.m).
cdf_respt_populations() - Static method in class jline.examples.java.advanced.CDFRespTExamples: Demonstrates CDF of response times for different population sizes (cdf_respt_populations.ipynb).
cdf_respt_populations() - Static method in class jline.examples.java.advanced.CDFRespTModel: Closed network with 10 jobs for response time CDF (matches JSON definition).
cdf_respt_populationsN1() - Static method in class jline.examples.java.advanced.CDFRespTModel: Closed networks with varying populations (matches MATLAB cdf_respt_populations.m).
cdf_respt_populationsN4() - Static method in class jline.examples.java.advanced.CDFRespTModel
cdf_respt_populationsN8() - Static method in class jline.examples.java.advanced.CDFRespTModel
cdfCond - Variable in class jline.api.qsys.QsysMg1PsResult: P(V(x) <= t), indexed [x][t].
cdfData - Variable in class jline.io.Ret.DistributionResult: The CDF data organized as a cell array [stations x classes].
cdfFromDPH(double[], Matrix, int) - Static method in class jline.lib.butools.dph.CdfFromDPH: Overload for double[] alpha and single integer x.
cdfFromDPH(double[], Matrix, int[]) - Static method in class jline.lib.butools.dph.CdfFromDPH: Overload for double[] alpha.
cdfFromDPH(Matrix, Matrix, int) - Static method in class jline.lib.butools.dph.CdfFromDPH: Overload for single integer x.
cdfFromDPH(Matrix, Matrix, int[]) - Static method in class jline.lib.butools.dph.CdfFromDPH: Returns the cumulative distribution function of a discrete phase-type distribution.
CdfFromDPH - Class in jline.lib.butools.dph
cdfFromME(double[], Matrix, double[]) - Static method in class jline.lib.butools.ph.CdfFromME: Overload for double[] alpha.
cdfFromME(Matrix, Matrix, double[]) - Static method in class jline.lib.butools.ph.CdfFromME: Returns the cumulative distribution function of a matrix-exponential distribution.
CdfFromME - Class in jline.lib.butools.ph
cdfFromMG(double[], Matrix, int) - Static method in class jline.lib.butools.dph.CdfFromMG: Overload for double[] alpha and single integer x.
cdfFromMG(double[], Matrix, int[]) - Static method in class jline.lib.butools.dph.CdfFromMG: Overload for double[] alpha.
cdfFromMG(Matrix, Matrix, int) - Static method in class jline.lib.butools.dph.CdfFromMG: Overload for single integer x.
cdfFromMG(Matrix, Matrix, int[]) - Static method in class jline.lib.butools.dph.CdfFromMG: Returns the cumulative distribution function of a matrix-geometric distribution.
CdfFromMG - Class in jline.lib.butools.dph
cdfFromPH(double[], Matrix, double[]) - Static method in class jline.lib.butools.ph.CdfFromME: Overload for double[] alpha.
cdfFromPH(Matrix, Matrix, double[]) - Static method in class jline.lib.butools.ph.CdfFromME: Returns the cumulative distribution function of a phase-type distribution.
cdfFromTrace(double[]) - Static method in class jline.lib.butools.trace.CdfFromTrace: Returns the empirical distribution function of the trace.
CdfFromTrace - Class in jline.lib.butools.trace
CdfFromTrace.CdfResult - Class in jline.lib.butools.trace: Result class for CdfFromTrace containing x and y arrays.
cdfFromWeightedTrace(double[], double[]) - Static method in class jline.lib.butools.trace.CdfFromTrace: Returns the empirical distribution function of a weighted trace.
cdfPassT() - Method in class jline.solvers.auto.SolverAUTO: Alias for getCdfPassT()
cdfPassT() - Method in class jline.solvers.NetworkSolver
cdfPassT(AvgHandle) - Method in class jline.solvers.NetworkSolver
cdfRespT() - Method in class jline.solvers.auto.SolverAUTO: Alias for getCdfRespT()
cdfRespT() - Method in class jline.solvers.NetworkSolver
cdfRespT(AvgHandle) - Method in class jline.solvers.NetworkSolver
cdfResptClosed() - Static method in class jline.examples.parity.CdfRespTTwins
cdfResptClosedThreeclasses() - Static method in class jline.examples.parity.CdfRespTTwins
cdfResptDistrib() - Static method in class jline.examples.parity.CdfRespTTwins
CDFRespTExamples - Class in jline.examples.java.advanced: Examples demonstrating CDF (Cumulative Distribution Function) of response times.
CDFRespTExamples() - Constructor for class jline.examples.java.advanced.CDFRespTExamples
CDFRespTModel - Class in jline.examples.java.advanced: Examples of response time distribution analysis.
CDFRespTModel() - Constructor for class jline.examples.java.advanced.CDFRespTModel
cdfResptOpenTwoclasses() - Static method in class jline.examples.parity.CdfRespTTwins
cdfResptPopulations() - Static method in class jline.examples.parity.CdfRespTTwins: cdf_respt_populations.py: the same ring at three populations.
CdfRespTTwins - Class in jline.examples.parity: python/examples/advanced/cdfRespT/: the response-time CDF, not the mean.
CdfResult(double[], double[]) - Constructor for class jline.lib.butools.trace.CdfFromTrace.CdfResult
cdfUncond - Variable in class jline.api.qsys.QsysMg1PsResult: P(V <= t).
cdfWait - Variable in class jline.api.qsys.QsysAbandonResult: P(W <= t) over entering customers, null when not requested.
cdfWaitAbandon - Variable in class jline.api.qsys.QsysAbandonResult: P(W <= t | A) at those times, null when not requested.
cdfWaitServed - Variable in class jline.api.qsys.QsysAbandonResult: P(W <= t | S) at those times, null when not requested.
CdPeakScaling - Class in jline.api.pfqn.ld: Peak of a class-dependence handle over the population lattice.
cdscaling - Variable in class jline.lang.layered.LayeredNetworkStruct
cdscaling - Variable in class jline.lang.NetworkStruct
cdscaling - Variable in class jline.lang.state.AfterEventContext: Class-dependent scaling functions (defaulted to the constant 1 map).
cdscalingpeak - Variable in class jline.lang.layered.LayeredNetworkStruct
cdscalingpeak - Variable in class jline.lang.NetworkStruct
ceil() - Method in class jline.util.matrix.Matrix: Returns a new matrix where each element is the ceiling of the corresponding element in this matrix.
ceilEq() - Method in class jline.util.matrix.Matrix: Applies the ceiling operation in-place to each element of this matrix.
cell_arvproc_classes_updmap - Variable in class jline.solvers.ln.SolverLN
cell_call_classes_updmap - Variable in class jline.solvers.ln.SolverLN
cell_refpath_classes_updmap - Variable in class jline.solvers.ln.SolverLN: [modelidx, nodeidx, classidx, kind, elemidx, sign, fromentry] rows of the refpath stage means, per layer key.
cell_route_prob_updmap - Variable in class jline.solvers.ln.SolverLN
cell_servt_classes_updmap - Variable in class jline.solvers.ln.SolverLN
cell_thinkt_classes_updmap - Variable in class jline.solvers.ln.SolverLN
cell2mat(Map<Integer, Matrix>) - Static method in class jline.util.matrix.Matrix: Concatenates a collection of matrices stored in a map into a single row vector.
cellsum() - Method in class jline.util.matrix.MatrixCell: Computes the element-wise sum of all matrices in this cell.
cellsum(int, int) - Method in class jline.util.matrix.MatrixCell: Computes the sum of elements at a specific position across all matrices in the cell.
cellsum(Map<Integer, Matrix>) - Static method in class jline.util.matrix.Matrix: Computes the element-wise sum of all matrices stored in a map.
Cend - Variable in class jline.api.fj.FJ_parallel.FJDagMakespanResult
central - Variable in class jline.io.Ret.pfqnQlenMoments
cftpHorizon - Variable in class jline.solvers.nc.NCResult
CftpResult() - Constructor for class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer.CftpResult
cftpSamples - Variable in class jline.solvers.nc.NCResult
Cgamma - Variable in class jline.io.Ret.pfqnRd
cH - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
Chain - Class in jline.lang: A class modelling a set of reachable classes for a given job (a chain)
Chain(String) - Constructor for class jline.lang.Chain: Creates a new chain with the specified name.
Chain(String, List<JobClass>, List<Station>) - Constructor for class jline.lang.Chain: Creates a new chain with the specified name, job classes, and stations.
chain_retrieval_system_model() - Static method in class jline.examples.java.basic.DelayedHitsExamples
chain_retrieval_system_model(double[], Matrix, int, String, SchedStrategy) - Static method in class jline.examples.java.basic.CacheRetrievalSystemModel: Cache model with a chained retrieval system.
chainAvgT() - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable().
chainAvgT(boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(boolean keepDisabled).
chainAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
chainAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
chainAvgT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(SolverAvgHandles avgHandles).
chainAvgT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(SolverAvgHandles avgHandles, boolean keepDisabled).
chains - Variable in class jline.lang.Network.routingMatrixReturn
chains - Variable in class jline.lang.NetworkStruct
CHAINS - Static variable in class jline.solvers.tr.TransformMethod: Collapse every chain onto a single class, then deaggregate through alpha.
ChainsStrategy - Class in jline.solvers.tr: Chain-aggregation strategy for TransformSolve.
ChainsStrategy() - Constructor for class jline.solvers.tr.ChainsStrategy
ChainsStrategy.ChainsContext - Class in jline.solvers.tr: Carries what the deaggregation needs from the aggregation.
changeSign() - Method in class jline.util.matrix.BaseMatrix
changeSign() - Method in class jline.util.matrix.DenseMatrix
changeSign() - Method in class jline.util.matrix.Matrix: Negates all values in the matrix, in-place.
changeSign() - Method in class jline.util.matrix.SparseMatrix
changeSignStatic(DMatrix, DMatrix) - Static method in class jline.util.matrix.DenseMatrix
changeSignStatic(DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
CharMaxResult - Class in jline.api.fj: Result container for characteristic maximum.
CharMaxResult(double, double) - Constructor for class jline.api.fj.CharMaxResult
check() - Static method in class jline.cli.LineInstall: Runs the checks and prints warnings to stderr.
checkCommonSupport(List<Matrix>, boolean, String) - Static method in class jline.lang.processes.MAPt: Rejects a schedule whose matrices do not share one sparsity pattern.
checkDeclaredMethod(SolverOptions) - Method in class jline.solvers.NetworkSolver: THE PER-SOLVER METHOD GATE: a method outside this solver's own listValidMethods is refused before any analyzer sees it.
checkDMAPRepresentation(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.CheckDMAPRepresentation
checkDMAPRepresentation(Matrix, Matrix, double) - Static method in class jline.lib.butools.dmap.CheckDMAPRepresentation: Checks if the input matrices define a discrete time MAP.
CheckDMAPRepresentation - Class in jline.lib.butools.dmap
checkDMMAPRepresentation(Matrix[]) - Static method in class jline.lib.butools.dmap.CheckDMMAPRepresentation
checkDMMAPRepresentation(Matrix[], double) - Static method in class jline.lib.butools.dmap.CheckDMMAPRepresentation: Overload for Matrix[].
checkDMMAPRepresentation(MatrixCell) - Static method in class jline.lib.butools.dmap.CheckDMMAPRepresentation
checkDMMAPRepresentation(MatrixCell, double) - Static method in class jline.lib.butools.dmap.CheckDMMAPRepresentation: Checks if the input matrices define a discrete time MMAP.
CheckDMMAPRepresentation - Class in jline.lib.butools.dmap
checkDMRAPRepresentation(Matrix[]) - Static method in class jline.lib.butools.dmap.CheckDMRAPRepresentation
checkDMRAPRepresentation(Matrix[], double) - Static method in class jline.lib.butools.dmap.CheckDMRAPRepresentation: Overload for Matrix[].
checkDMRAPRepresentation(MatrixCell) - Static method in class jline.lib.butools.dmap.CheckDMRAPRepresentation
checkDMRAPRepresentation(MatrixCell, double) - Static method in class jline.lib.butools.dmap.CheckDMRAPRepresentation: Checks if the input matrices define a discrete time MRAP.
CheckDMRAPRepresentation - Class in jline.lib.butools.dmap
checkDPHRepresentation(double[], Matrix) - Static method in class jline.lib.butools.dph.CheckDPHRepresentation
checkDPHRepresentation(double[], Matrix, double) - Static method in class jline.lib.butools.dph.CheckDPHRepresentation: Overload for double[] alpha.
checkDPHRepresentation(Matrix, Matrix) - Static method in class jline.lib.butools.dph.CheckDPHRepresentation
checkDPHRepresentation(Matrix, Matrix, double) - Static method in class jline.lib.butools.dph.CheckDPHRepresentation: Checks if the given vector and matrix define a valid discrete phase-type representation.
CheckDPHRepresentation - Class in jline.lib.butools.dph
checkDRAPRepresentation(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.CheckDRAPRepresentation
checkDRAPRepresentation(Matrix, Matrix, double) - Static method in class jline.lib.butools.dmap.CheckDRAPRepresentation: Checks if the input matrices define a discrete time RAP.
CheckDRAPRepresentation - Class in jline.lib.butools.dmap
checkGenerator(Matrix) - Static method in class jline.lib.butools.mc.CheckGenerator
checkGenerator(Matrix, boolean) - Static method in class jline.lib.butools.mc.CheckGenerator
checkGenerator(Matrix, boolean, double) - Static method in class jline.lib.butools.mc.CheckGenerator: Checks if the matrix is a valid generator matrix.
CheckGenerator - Class in jline.lib.butools.mc
checkMAPRepresentation(Matrix, Matrix) - Static method in class jline.lib.butools.map.CheckMAPRepresentation
checkMAPRepresentation(Matrix, Matrix, double) - Static method in class jline.lib.butools.map.CheckMAPRepresentation: Checks if the input matrices define a continuous time MAP.
CheckMAPRepresentation - Class in jline.lib.butools.map
checkMEPositiveDensity(Matrix, Matrix) - Static method in class jline.lib.butools.ph.CheckMEPositiveDensity
checkMEPositiveDensity(Matrix, Matrix, int) - Static method in class jline.lib.butools.ph.CheckMEPositiveDensity
checkMEPositiveDensity(Matrix, Matrix, int, double) - Static method in class jline.lib.butools.ph.CheckMEPositiveDensity: Checks if the given ME distribution has positive density.
CheckMEPositiveDensity - Class in jline.lib.butools.ph
checkMERepresentation(double[], Matrix) - Static method in class jline.lib.butools.ph.CheckMERepresentation
checkMERepresentation(double[], Matrix, double) - Static method in class jline.lib.butools.ph.CheckMERepresentation: Overload for double[] alpha.
checkMERepresentation(Matrix, Matrix) - Static method in class jline.lib.butools.ph.CheckMERepresentation
checkMERepresentation(Matrix, Matrix, double) - Static method in class jline.lib.butools.ph.CheckMERepresentation: Checks if the given vector and matrix define a valid matrix- exponential representation.
CheckMERepresentation - Class in jline.lib.butools.ph
checkMGRepresentation(double[], Matrix) - Static method in class jline.lib.butools.dph.CheckMGRepresentation
checkMGRepresentation(double[], Matrix, double) - Static method in class jline.lib.butools.dph.CheckMGRepresentation
checkMGRepresentation(Matrix, Matrix) - Static method in class jline.lib.butools.dph.CheckMGRepresentation
checkMGRepresentation(Matrix, Matrix, double) - Static method in class jline.lib.butools.dph.CheckMGRepresentation: Checks if the given vector and matrix define a valid matrix-geometric representation.
CheckMGRepresentation - Class in jline.lib.butools.dph
checkMMAPRepresentation(Matrix[]) - Static method in class jline.lib.butools.map.CheckMMAPRepresentation
checkMMAPRepresentation(Matrix[], double) - Static method in class jline.lib.butools.map.CheckMMAPRepresentation: Overload for Matrix[].
checkMMAPRepresentation(MatrixCell) - Static method in class jline.lib.butools.map.CheckMMAPRepresentation
checkMMAPRepresentation(MatrixCell, double) - Static method in class jline.lib.butools.map.CheckMMAPRepresentation: Checks if the input matrices define a continuous time MMAP.
CheckMMAPRepresentation - Class in jline.lib.butools.map
checkMoments(Matrix) - Static method in class jline.lib.butools.CheckMoments
checkMoments(Matrix, double) - Static method in class jline.lib.butools.CheckMoments: Checks if the given moment sequence is valid in the sense that it belongs to a distribution with support (0,inf).
CheckMoments - Class in jline.lib.butools
checkMRAPRepresentation(Matrix[]) - Static method in class jline.lib.butools.map.CheckMRAPRepresentation
checkMRAPRepresentation(Matrix[], double) - Static method in class jline.lib.butools.map.CheckMRAPRepresentation: Overload for Matrix[].
checkMRAPRepresentation(MatrixCell) - Static method in class jline.lib.butools.map.CheckMRAPRepresentation
checkMRAPRepresentation(MatrixCell, double) - Static method in class jline.lib.butools.map.CheckMRAPRepresentation: Checks if the input matrices define a continuous time MRAP.
CheckMRAPRepresentation - Class in jline.lib.butools.map
checkPermInvariance(double[], double) - Method in class jline.lang.nodes.Queue: Checks the order-independence (OI) condition on the service rate mu(c): the rate of the job in position j must depend only on the jobs at or ahead of it (positions 1..j) and not on those behind.
checkPHRepresentation(double[], Matrix) - Static method in class jline.lib.butools.ph.CheckPHRepresentation
checkPHRepresentation(double[], Matrix, double) - Static method in class jline.lib.butools.ph.CheckPHRepresentation: Overload for double[] alpha.
checkPHRepresentation(Matrix, Matrix) - Static method in class jline.lib.butools.ph.CheckPHRepresentation
checkPHRepresentation(Matrix, Matrix, double) - Static method in class jline.lib.butools.ph.CheckPHRepresentation: Checks if the given vector and matrix define a valid phase- type representation.
CheckPHRepresentation - Class in jline.lib.butools.ph
checkpoint(String) - Static method in class jline.util.LineTimeout: Amortized checkpoint for hot loops: polls the clock once every 256 calls and throws when the armed deadline has passed.
checkProbMatrix(Matrix) - Static method in class jline.lib.butools.mc.CheckProbMatrix
checkProbMatrix(Matrix, boolean) - Static method in class jline.lib.butools.mc.CheckProbMatrix
checkProbMatrix(Matrix, boolean, double) - Static method in class jline.lib.butools.mc.CheckProbMatrix: Checks if the matrix is a valid probability matrix.
CheckProbMatrix - Class in jline.lib.butools.mc
checkProbVector(double[]) - Static method in class jline.lib.butools.mc.CheckProbVector
checkProbVector(double[], boolean) - Static method in class jline.lib.butools.mc.CheckProbVector
checkProbVector(double[], boolean, double) - Static method in class jline.lib.butools.mc.CheckProbVector
checkProbVector(Matrix) - Static method in class jline.lib.butools.mc.CheckProbVector
checkProbVector(Matrix, boolean) - Static method in class jline.lib.butools.mc.CheckProbVector
checkProbVector(Matrix, boolean, double) - Static method in class jline.lib.butools.mc.CheckProbVector: Checks if the vector is a valid probability vector: the vector has only non-negative elements, the sum of the vector elements is 1.
CheckProbVector - Class in jline.lib.butools.mc
checkRAPRepresentation(Matrix, Matrix) - Static method in class jline.lib.butools.map.CheckMAPRepresentation
checkRAPRepresentation(Matrix, Matrix) - Static method in class jline.lib.butools.ph.CheckRAPRepresentation
checkRAPRepresentation(Matrix, Matrix, double) - Static method in class jline.lib.butools.map.CheckMAPRepresentation: Checks if the input matrices define a valid RAP representation.
checkRAPRepresentation(Matrix, Matrix, double) - Static method in class jline.lib.butools.ph.CheckRAPRepresentation: Checks if the given matrices define a valid Rational Arrival Process (RAP) representation.
CheckRAPRepresentation - Class in jline.lib.butools.ph
checkRateMonotonicity(double[], double) - Method in class jline.lang.nodes.Queue: Checks the order-independence (OI) condition (1) on the service rate mu(c): the per-job rates must be non-negative, mu(c[:j]) >= mu(c[:j-1]) for every microstate and position j.
checkSupported() - Method in class jline.solvers.fluid.moments.FluidMomentTerms: Refuses any station whose discipline has no drift branch.
checkSupported() - Method in class jline.solvers.fluid.moments.FluidRateFactors: Refuses any station whose discipline has no drift branch, naming it.
chooseBooleanValue(double) - Method in class jline.gen.LayeredNetworkGenerator: Chooses a boolean value for a given probability
cI - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
cimethod - Variable in class jline.solvers.ldes.LDESOptions: Confidence interval computation method.
ciminbatch - Variable in class jline.solvers.ldes.LDESOptions: Minimum batch size for confidence interval computation.
ciminobs - Variable in class jline.solvers.ldes.LDESOptions: Minimum number of post-warmup observations required before computing CIs.
circul(int) - Static method in class jline.util.Maths: Returns a circulant matrix of order c.
circul(Matrix) - Static method in class jline.util.Maths: Returns a circulant matrix from the given first column.
Citation(String, String, String) - Constructor for class jline.io.LineCitations.Citation
citations() - Method in class jline.solvers.NetworkSolver: Bibliographic references for the algorithms this solver used.
citationsFor(List<String>) - Static method in class jline.io.LineCitations: References for the algorithms named by the given tokens.
cJ - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
cK - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
cL - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
cl_basic() - Static method in class jline.examples.java.basic.ClusterModel: Single-class open cluster with four PS servers and random dispatching.
cl_closed() - Static method in class jline.examples.java.basic.ClusterModel: Closed cluster with three PS servers, single class, random dispatching.
cl_compare() - Static method in class jline.examples.java.basic.ClusterExamples: `cl_compare.m`: compare RAND against RROBIN dispatching on one cluster.
cl_heterogeneous() - Static method in class jline.examples.java.basic.ClusterModel: Heterogeneous open cluster: each of three FCFS servers has a different service time.
cl_mixed() - Static method in class jline.examples.java.basic.ClusterModel: Mixed cluster: one open class and one closed class share two PS servers.
cl_multiclass() - Static method in class jline.examples.java.basic.ClusterModel: Two-class open cluster (e.g., interactive vs batch traffic).
cl_scheduling() - Static method in class jline.examples.java.basic.ClusterExamples: Compares scheduling disciplines on one cluster, the reference's cl_scheduling.
cl_stations() - Static method in class jline.examples.java.basic.ClusterExamples: Sweeps the number of parallel servers, the reference's cl_stations.
cl_sweep() - Static method in class jline.examples.java.basic.ClusterExamples: `cl_sweep.m`: arrival-rate sweep on a 2-PS cluster.
clamped - Variable in class jline.api.lqn.LqnBalanceEquations.Relation: Set once instantiated: the equality is unattainable because the task is saturated and its think time is pinned at zero.
clampPositive - Variable in class jline.api.infer.InferLqnOptions
CLASS_APPROX - Static variable in class jline.solvers.auto.SolverCandidate: An approximation of the model's true measures.
CLASS_BOUND - Static variable in class jline.solvers.auto.SolverCandidate: A bracket rather than an estimate.
CLASS_EXACT - Static variable in class jline.solvers.auto.SolverCandidate: Answer kinds a method can return; see SolverAUTO.methodClass(java.lang.String, java.lang.String, boolean, boolean, boolean, boolean).
CLASS_SIMULATION - Static variable in class jline.solvers.auto.SolverCandidate: A seed-dependent estimate from a sample path.
classBlock - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: State coordinates of each (station,class), flattened as i*K+k.
classBlock - Variable in class jline.solvers.fluid.analyzers.MinNormalAnalyzer: State coordinates of each (station,class), flattened as i*K+k.
classBlock - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
classcap - Variable in class jline.lang.NetworkStruct
classCap - Variable in class jline.lang.nodes.Station
classdeadline - Variable in class jline.lang.NetworkStruct
classes - Variable in class jline.api.sn.SnMapModulation.MapModulation: Class indices governed by this process (several only for a marked MAP).
classes - Variable in class jline.lang.Chain
classes - Variable in class jline.lang.Region
classes - Variable in class jline.lang.state.ReplyBlock.Info: Calling classes (0-based) that can hold a server at this node, in class order.
classIdx - Variable in class jline.solvers.uq.SolverUQ.PriorInfo
classIndex - Variable in class jline.lang.Network.BindingCapacity
classIndexMap - Variable in class jline.lang.Chain
classitem - Variable in class jline.lang.nodeparam.CacheNodeParam: Item read by each per-item class of a cache network (Cache.setItemReadClasses), 1-based, 0 where the class is not one.
classMaxJobs - Variable in class jline.lang.Region
classMaxMemory - Variable in class jline.lang.Region
className(String) - Static method in class jline.io.LQN2JAVA: The class name MATLAB derives from the model name, reduced to a valid Java identifier.
classnames - Variable in class jline.api.spn.Spn_mdd.SpnInfo
classnames - Variable in class jline.lang.Chain
classnames - Variable in class jline.lang.NetworkStruct
classNames - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
classOfCaller - Variable in class jline.solvers.ln.SolverLN.PHLayer: Class index of each caller task, -1 when absent.
classprio - Variable in class jline.lang.NetworkStruct
ClassPriority - Class in jline.opt.variables: Optimize the priority of job classes.
ClassPriority(List<JobClass>) - Constructor for class jline.opt.variables.ClassPriority
ClassPriority(List<JobClass>, String, int, int, String) - Constructor for class jline.opt.variables.ClassPriority
ClassServiceMapping - Class in jline.opt.variables: Optimize the class-to-station mapping by rerouting a job class through a selected candidate station and bypassing the others, preserving default routing of every other class.
ClassServiceMapping(JobClass, List<Station>) - Constructor for class jline.opt.variables.ClassServiceMapping
ClassServiceMapping(JobClass, List<Station>, String) - Constructor for class jline.opt.variables.ClassServiceMapping
classSize - Variable in class jline.lang.Region
classspawn - Variable in class jline.lang.NetworkStruct
classStage - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: Per-class stage index, zero based.
classStation - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: Per-class station index, zero based.
ClassSwitch - Class in jline.lang.nodes: A node that switches the class of an incoming job based on a probability table
ClassSwitch - Enum constant in enum jline.lang.constant.NodeType: Class switch node - changes job class based on probabilities
ClassSwitch(Network, String) - Constructor for class jline.lang.nodes.ClassSwitch
ClassSwitch(Network, String, Matrix) - Constructor for class jline.lang.nodes.ClassSwitch
CLASSSWITCH - Enum constant in enum jline.io.ModelVisualizer.NodeType
ClassSwitcher - Class in jline.lang.sections: A job class switcher based on a static probability table
ClassSwitcher(List<JobClass>, String) - Constructor for class jline.lang.sections.ClassSwitcher
ClassSwitchExamples - Class in jline.examples.java.basic: Class switching examples mirroring the example notebooks in classSwitching.
ClassSwitchExamples() - Constructor for class jline.examples.java.basic.ClassSwitchExamples
ClassSwitchingModel - Class in jline.examples.java.basic: Examples of models with class switching
ClassSwitchingModel() - Constructor for class jline.examples.java.basic.ClassSwitchingModel
ClassSwitchMatrix - Class in jline.lang: Matrix representation for job class switching probabilities in queueing networks.
ClassSwitchMatrix(double) - Constructor for class jline.lang.ClassSwitchMatrix
ClassSwitchMatrix(int, int) - Constructor for class jline.lang.ClassSwitchMatrix
ClassSwitchMatrix(int, int, int) - Constructor for class jline.lang.ClassSwitchMatrix
ClassSwitchMatrix(List<Double>) - Constructor for class jline.lang.ClassSwitchMatrix
ClassSwitchMatrix(Matrix) - Constructor for class jline.lang.ClassSwitchMatrix
classType - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: Per-class type index.
classWeight - Variable in class jline.lang.Region
clear() - Method in class jline.bench.cqn.CQNResultsFormatter.CQNResultsAccumulator
clear() - Method in class jline.bench.mqn.MQNResultsFormatter.MQNResultsAccumulator
clear() - Method in class jline.bench.oqn.OQNResultsFormatter.OQNResultsAccumulator
clear() - Method in class jline.lang.ModelAttribute: Removes every metadata field.
clear() - Static method in class jline.util.LineTimeout: Disarm the deadline.
clearBackgroundImage(VisualizationViewer<?, ?>) - Static method in class jline.io.ModelVisualizer: Clears the background image from the visualization viewer.
clearCaches() - Method in class jline.lang.Network
clearEventHandlers() - Method in class odesolver.LSODA
clearMarkedArrival() - Method in class jline.lang.nodes.Source: Drop the marked-arrival binding, leaving whatever per-class arrival processes are currently set.
clearResetPolicy() - Static method in class jline.lang.Environment
clearRewardResult() - Method in class jline.solvers.ctmc.SolverCTMC: Clear cached reward results to force recomputation.
clearRewards() - Method in class jline.lang.Network: Remove all defined reward functions.
clearState() - Method in class jline.lang.nodes.StatefulNode
clearStepHandlers() - Method in class odesolver.LSODA
CLIMB - Enum constant in enum jline.lang.constant.ReplacementStrategy
clo - Variable in class jline.lib.butools.mam.FluidSolve.FluidSolution
cloB - Variable in class jline.lib.butools.mam.LevelDependentFluidSolution
Clock(double[][], double[], double[]) - Constructor for class jline.api.cache.CacheSojourn.Clock
cloF - Variable in class jline.lib.butools.mam.LevelDependentFluidSolution
closable - Variable in class jline.solvers.fluid.petri.PetriMode: Whether the min() this mode takes is worth closing.
close() - Method in class jline.solvers.ag.AgExec
close() - Method in class jline.solvers.ag.AgWorkerClient
CLOSED - Enum constant in enum jline.lang.constant.JobClassType: Closed class - fixed population of jobs circulating in the network
CLOSED_POPULATION_METHODS - Static variable in class jline.solvers.mva.SolverMVA: The AMVA algorithms whose recursion is over a CLOSED population vector.
ClosedClass - Class in jline.lang: Class where jobs perpetually loop without arriving or leaving (Closed class)
ClosedClass(Network, String, double, Station) - Constructor for class jline.lang.ClosedClass: Creates a new closed job class with default priority (0).
ClosedClass(Network, String, double, Station, int) - Constructor for class jline.lang.ClosedClass: Creates a new closed job class with the specified population and reference station.
ClosedClass(Network, String, double, Station, int, double) - Constructor for class jline.lang.ClosedClass: Creates a new closed job class with the specified population, reference station, priority, and deadline.
ClosedClass(Network, String, int, Station) - Constructor for class jline.lang.ClosedClass
ClosedClass(Network, String, int, Station, int) - Constructor for class jline.lang.ClosedClass
ClosedClass(Network, String, int, Station, int, double) - Constructor for class jline.lang.ClosedClass
ClosedExamples - Class in jline.examples.java.basic: Closed queueing network examples mirroring the example notebooks in closedQN.
ClosedExamples() - Constructor for class jline.examples.java.basic.ClosedExamples
ClosedModel - Class in jline.examples.java.basic: Examples of closed queueing networks
ClosedModel() - Constructor for class jline.examples.java.basic.ClosedModel
closedNetwork() - Static method in class jline.examples.java.advanced.AgentModel: Creates a closed network with two PS queues.
closedPopulationReason(NetworkStruct, String) - Static method in class jline.solvers.mva.SolverMVA: Refusal reason for the closed-population AMVA family, empty when it may run.
ClosedSignal - Class in jline.lang: A closed signal class for modeling signals in closed queueing networks.
ClosedSignal(Network, String, SignalType, Station) - Constructor for class jline.lang.ClosedSignal: Creates a new closed signal class with the specified type, reference station, and default priority (0).
ClosedSignal(Network, String, SignalType, Station, int) - Constructor for class jline.lang.ClosedSignal: Creates a new closed signal class with the specified type, reference station, and priority.
ClosedSignal(Network, String, SignalType, Station, int, DiscreteDistribution, RemovalPolicy) - Constructor for class jline.lang.ClosedSignal: Creates a new closed signal class with full configuration for batch removal.
ClosedSignal(Network, String, Station) - Constructor for class jline.lang.ClosedSignal: Creates a new negative closed signal class with default priority (0).
closeRun(Object) - Static method in class jline.io.LineConsole: Close the innermost open run, writing the closing lines.
ClosingAndStateDepMethodsAnalyzer - Class in jline.solvers.fluid.analyzers
ClosingAndStateDepMethodsAnalyzer() - Constructor for class jline.solvers.fluid.analyzers.ClosingAndStateDepMethodsAnalyzer
closure(int[][]) - Static method in class jline.api.pfqn.nc.Pas_placement: Transitive closure of the "must precede" relation.
closureActive(SolverOptions) - Static method in class jline.solvers.fluid.moments.FluidConservationGuard: True when the closure is what is being integrated, i.e.
cluster(Matrix, Matrix, SchedStrategy[], Matrix, RoutingStrategy) - Static method in class jline.lang.Network: Creates an open cluster network: Source -> Dispatcher (Router) -> Servers -> Sink.
Cluster - Class in jline.gen: Builder for cluster models with helpers to compare dispatching/scheduling policies and to sweep parameters.
Cluster() - Constructor for class jline.gen.Cluster: Creates a default cluster: 2 servers, single open class with arrival rate 1.0, service rate 1.0 at each server, PS scheduling, RAND dispatching.
clusterClosed(Matrix, Matrix, Matrix, SchedStrategy[], Matrix, RoutingStrategy) - Static method in class jline.lang.Network: Creates a closed cluster network: Think (Delay) -> Dispatcher (Router) -> Servers -> Think.
ClusterExamples - Class in jline.examples.java.basic: Demonstrates cluster modelling APIs: The static factories Network.cluster* The Cluster builder with comparison and sweep helpers
ClusterExamples() - Constructor for class jline.examples.java.basic.ClusterExamples
clusterFcfs(Matrix, Matrix, Matrix, RoutingStrategy) - Static method in class jline.lang.Network: Creates an open FCFS cluster with one server per queue.
clusterMixed(Matrix, Matrix, Matrix, Matrix, SchedStrategy[], Matrix, RoutingStrategy) - Static method in class jline.lang.Network: Creates a mixed cluster network in which open and closed classes share the dispatcher and the servers: open classes flow Source -> Dispatcher -> Servers -> Sink while closed classes cycle Think (Delay) -> Dispatcher -> Servers -> Think.
ClusterModel - Class in jline.examples.java.basic: Server-cluster models built with the Network.cluster(jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.lang.constant.SchedStrategy[], jline.util.matrix.Matrix, jline.lang.constant.RoutingStrategy) static factories.
ClusterModel() - Constructor for class jline.examples.java.basic.ClusterModel
clusterPs(Matrix, Matrix, RoutingStrategy) - Static method in class jline.lang.Network: Creates an open PS cluster with one server per queue.
clusterPs(Matrix, Matrix, Matrix, RoutingStrategy) - Static method in class jline.lang.Network: Creates an open PS cluster.
cm(Matrix) - Static method in class jline.api.mam.TransientQbd: Wrap a real jline Matrix as a dense complex FieldMatrix.
cM - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
cme - Class in jline.lib.lti
CME - Class in jline.lang.processes: A Concentrated Matrix Exponential (CME) distribution.
CME(double, int) - Constructor for class jline.lang.processes.CME: Creates a concentrated matrix-exponential distribution.
CmeEntry() - Constructor for class jline.lib.lti.iltcme.CmeEntry
cn - Variable in class jline.solvers.fluid.moments.FluidClosures.ShareResult
CN - Variable in class jline.io.Ret.pfqnAB: Waiting time matrix (M x R)
CN - Variable in class jline.io.Ret.pfqnSchmidt: Waiting time matrix (M x R)
CN - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult
CN - Variable in class jline.solvers.ctmc.handlers.Ctmc_avg_from_pi.Result
CN - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
CN - Variable in class jline.solvers.mam.handlers.MetricsResult
CN - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
CN - Variable in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer.CftpResult
CN - Variable in class jline.solvers.SolverResult: Mean system response times [1 x chains]
CN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
CN - Variable in class jline.solvers.tr.FJTagTransform.Lifted
cnew - Variable in class jline.lang.state.AfterEventStation.PasSwap
CNt - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
CNt - Variable in class jline.solvers.SolverResult: Transient system response times [time_points][1 x chains]
cnvgbatch - Variable in class jline.solvers.ldes.LDESOptions: Minimum number of batches required before checking for convergence.
cnvgchk - Variable in class jline.solvers.ldes.LDESOptions: Number of events between convergence checks.
cnvgon - Variable in class jline.solvers.ldes.LDESOptions: Enable convergence-based stopping.
cnvgtol - Variable in class jline.solvers.ldes.LDESOptions: Convergence tolerance - stop when (CI half-width / mean) is below this threshold.
CoarseTol - Static variable in class jline.GlobalConstants: Coarse tolerance for approximate comparisons (1e-3)
codeOf(EventType) - Static method in class jline.io.Ret.SampleResult: The code the event matrix stores for this event type.
coeff - Variable in class jline.api.lqn.LqnBalanceEquations.Relation: Constant coefficient of each term.
coeff - Static variable in class jline.lib.lti.laguerre
coeff - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
Coeff() - Constructor for class jline.api.pfqn.Pfqn_sdr.Coeff
coeffnplus1 - Static variable in class jline.lib.lti.laguerre
coeffs - Variable in class jline.lang.layered.LayeredNetworkElement.LinConRow
col - Variable in class jline.util.matrix.MatrixEntry: Column index of the entry.
colIncrease(int, double) - Method in class jline.util.matrix.BaseMatrix: Adds a scalar value to each element in the specified column.
colIncrease(int, double) - Method in class jline.util.matrix.DenseMatrix
colIncrease(int, double) - Method in class jline.util.matrix.Matrix
colIncrease(int, double) - Method in class jline.util.matrix.SparseMatrix: Adds a scalar value to each element in the specified column.
Collector - Class in jline.streaming: Collects and aggregates metrics from SSA simulation for streaming to line-est.
Collector(StreamingOptions, NetworkStruct) - Constructor for class jline.streaming.Collector: Create a new streaming metrics collector.
colMap - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem
colon() - Method in class jline.util.matrix.Matrix: Returns the matrix in column-major order.
cols - Variable in class jline.api.mdd.MddLocalMatrix: cols[i] holds the column indices of the nonzeros of row i.
columnMajorOrder() - Method in class jline.util.matrix.Matrix: Equivalent to the colon operator in MATLAB (:).
columnMatrixToDoubleArray(Matrix) - Static method in class jline.util.matrix.Matrix: Converts a column matrix (of size m x 1) to a dense double array of length m.
ColumnView - Class in jline.util.matrix: A lightweight view into a column of a sparse matrix that doesn't copy data.
COMBINED - Enum constant in enum jline.lang.constant.BalkingStrategy: Combined balking strategy.
compact() - Method in class jline.api.mdd.MDD: Reclaim dead nodes left by the append-only build.
compare(Matrix, Matrix, String) - Static method in class jline.util.matrix.Matrix: Compares two matrices element-wise using a specified comparison operator.
compareAgainstBaseline(List<BenchmarkRegression.BenchmarkResult>, BenchmarkRegression.RegressionBaseline) - Static method in class jline.bench.BenchmarkRegression: Compare current results against baseline using maxerronsum logic
compareDispatching(Class<? extends NetworkSolver>, RoutingStrategy...) - Method in class jline.gen.Cluster: Solves the cluster under each provided dispatching strategy.
compareDispatching(Function<Network, NetworkAvgTable>, RoutingStrategy...) - Method in class jline.gen.Cluster: Solves the cluster under each provided dispatching strategy using a custom solver factory.
compareMatrix(Matrix) - Method in class jline.util.matrix.Matrix: Compares this matrix to another matrix for approximate equality.
compareScheduling(Class<? extends NetworkSolver>, SchedStrategy...) - Method in class jline.gen.Cluster: Solves the cluster under each provided scheduling discipline.
compareScheduling(Function<Network, NetworkAvgTable>, SchedStrategy...) - Method in class jline.gen.Cluster: Solves the cluster under each provided scheduling discipline using a custom solver factory.
compareTo(Pair<T, U>) - Method in class jline.util.Pair
compat - Variable in class jline.lang.layered.LayeredNetworkStruct.ServerPools
compat - Variable in class jline.lang.state.CtmcPool: compat[t][r]: pool t serves class r.
compat - Variable in class jline.solvers.wrappers.jmt.handlers.SaveHandlers.ServerPools: Pool-class compatibility, (nTypes x K), 1.0 where the pool serves the class.
compatibilityModel() - Static method in class jline.examples.java.advanced.PassAndSwapExample: Five-class, three-server compatibility model (paper Figs 1-2) with the swapping graph E = {(0,2),(0,4),(1,3),(2,3),(3,4)} (0-based).
compatible - Variable in class jline.lang.layered.LayeredNetworkElement.ServerPool
compatibleSizesAdd(Matrix) - Method in class jline.util.matrix.Matrix: Performs element-wise addition with shape broadcasting where applicable.
compileDetail(String, Object...) - Static method in class jline.io.LineConsole: One stage line of a structure compile.
compiling(String) - Static method in class jline.io.LineConsole: Announce the compilation of a model structure.
complementIndices - Variable in class jline.api.fes.FESDeaggInfo
completes - Variable in class jline.lang.Chain
completes - Variable in class jline.lang.JobClass
complexes - Variable in class jline.api.spn.Spn_pf.SpnPfResult: The distinct complexes, one row each.
ComplexMatrix - Class in jline.util.matrix: A matrix class for handling complex-valued matrices using separate real and imaginary components.
ComplexMatrix(int, int) - Constructor for class jline.util.matrix.ComplexMatrix: Creates a new complex matrix with the specified dimensions.
ComplexMatrix(Matrix) - Constructor for class jline.util.matrix.ComplexMatrix: Creates a complex matrix from a real matrix with zero imaginary component.
ComplexMatrix(Matrix, Matrix) - Constructor for class jline.util.matrix.ComplexMatrix: Creates a complex matrix from separate real and imaginary component matrices.
ComplexMatrix(DMatrixSparseCSC, DMatrixSparseCSC) - Constructor for class jline.util.matrix.ComplexMatrix: Creates a complex matrix from EJML sparse matrices representing real and imaginary components.
ComplexOps - Class in jline.util: The few complex operations the transform layer needs.
component1() - Method in class jline.api.aoi.Aoi_dist2phResult
component1() - Method in class jline.api.aoi.AoiLstResult
component1() - Method in class jline.api.aoi.AoiResult
component1() - Method in class jline.api.fj.CharMaxResult
component1() - Method in class jline.api.fj.FJ_bounds.FJBoundsResult
component1() - Method in class jline.api.fj.FJInfo
component1() - Method in class jline.api.fj.GKBoundResult
component1() - Method in class jline.api.mam.LdqbdResult
component1() - Method in class jline.api.mam.Qbd_rg.QbdRgResult
component1() - Method in class jline.api.mc.Dtmc_uniformization.DtmcUniformizationResult
component1() - Method in class jline.lib.butools.dph.CanonicalFromDPH2.DPH2Representation
component1() - Method in class jline.lib.butools.dph.MGFromMoments.MGRepresentation
component1() - Method in class jline.lib.butools.map.MAPRepresentation
component1() - Method in class jline.lib.butools.ph.MERepresentation
component1() - Method in class jline.lib.butools.ph.PH2From3Moments.PH2Representation
component1() - Method in class jline.lib.butools.ph.PH3Representation
component1() - Method in class jline.lib.butools.ph.PHRepresentation
component1() - Method in class jline.lib.fjcodes.ComputeT.ComputeTResult
component1() - Method in class jline.lib.fjcodes.GenerateServiceResult
component1() - Method in class jline.lib.fjcodes.SAResult
component1() - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
component1() - Method in class jline.lib.qmam.DTQueueResult
component1() - Method in class jline.lib.qmam.MAPMAP1Options
component1() - Method in class jline.lib.qmam.MAPMAP1Result
component1() - Method in class jline.lib.qmam.PHPH1Options
component1() - Method in class jline.lib.qmam.PHPH1Result
component1() - Method in class jline.lib.smc.GIM1CaudalResult
component1() - Method in class jline.lib.smc.GIM1PiOptions
component1() - Method in class jline.lib.smc.MG1DecayResult
component1() - Method in class jline.solvers.ag.handlers.INAPResult
component1() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
component2() - Method in class jline.api.aoi.Aoi_dist2phResult
component2() - Method in class jline.api.aoi.AoiLstResult
component2() - Method in class jline.api.aoi.AoiResult
component2() - Method in class jline.api.fj.CharMaxResult
component2() - Method in class jline.api.fj.FJ_bounds.FJBoundsResult
component2() - Method in class jline.api.fj.FJInfo
component2() - Method in class jline.api.fj.GKBoundResult
component2() - Method in class jline.api.mam.LdqbdResult
component2() - Method in class jline.api.mam.Qbd_rg.QbdRgResult
component2() - Method in class jline.api.mc.Dtmc_uniformization.DtmcUniformizationResult
component2() - Method in class jline.lib.butools.dph.CanonicalFromDPH2.DPH2Representation
component2() - Method in class jline.lib.butools.dph.MGFromMoments.MGRepresentation
component2() - Method in class jline.lib.butools.map.MAPRepresentation
component2() - Method in class jline.lib.butools.ph.MERepresentation
component2() - Method in class jline.lib.butools.ph.PH2From3Moments.PH2Representation
component2() - Method in class jline.lib.butools.ph.PH3Representation
component2() - Method in class jline.lib.butools.ph.PHRepresentation
component2() - Method in class jline.lib.fjcodes.ComputeT.ComputeTResult
component2() - Method in class jline.lib.fjcodes.GenerateServiceResult
component2() - Method in class jline.lib.fjcodes.SAResult
component2() - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
component2() - Method in class jline.lib.qmam.MAPMAP1Options
component2() - Method in class jline.lib.qmam.MAPMAP1Result
component2() - Method in class jline.lib.qmam.PHPH1Options
component2() - Method in class jline.lib.qmam.PHPH1Result
component2() - Method in class jline.lib.smc.GIM1CaudalResult
component2() - Method in class jline.lib.smc.GIM1PiOptions
component2() - Method in class jline.lib.smc.MG1DecayResult
component2() - Method in class jline.solvers.ag.handlers.INAPResult
component2() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
component3() - Method in class jline.api.aoi.AoiLstResult
component3() - Method in class jline.api.aoi.AoiResult
component3() - Method in class jline.api.fj.FJInfo
component3() - Method in class jline.api.fj.GKBoundResult
component3() - Method in class jline.api.mam.Qbd_rg.QbdRgResult
component3() - Method in class jline.lib.fjcodes.ComputeT.ComputeTResult
component3() - Method in class jline.lib.fjcodes.GenerateServiceResult
component3() - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
component3() - Method in class jline.lib.qmam.MAPMAP1Options
component3() - Method in class jline.lib.qmam.MAPMAP1Result
component3() - Method in class jline.lib.qmam.PHPH1Result
component3() - Method in class jline.lib.smc.GIM1PiOptions
component3() - Method in class jline.solvers.ag.handlers.INAPResult
component3() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
component4() - Method in class jline.api.fj.FJInfo
component4() - Method in class jline.api.fj.GKBoundResult
component4() - Method in class jline.api.mam.Qbd_rg.QbdRgResult
component4() - Method in class jline.lib.fjcodes.ComputeT.ComputeTResult
component4() - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
component4() - Method in class jline.lib.qmam.MAPMAP1Result
component4() - Method in class jline.solvers.ag.handlers.INAPResult
component4() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
component5() - Method in class jline.api.fj.FJInfo
component5() - Method in class jline.api.fj.GKBoundResult
component5() - Method in class jline.api.mam.Qbd_rg.QbdRgResult
component5() - Method in class jline.lib.fjcodes.ComputeT.ComputeTResult
component5() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
component6() - Method in class jline.api.fj.FJInfo
component6() - Method in class jline.api.mam.Qbd_rg.QbdRgResult
component6() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
component7() - Method in class jline.api.fj.FJInfo
component7() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
componentAssignment - Variable in class jline.lib.kpctoolbox.mc.CTMC.ConnectedComponents
componentAssignment - Variable in class jline.lib.kpctoolbox.mc.CTMC.CTMCSolveResult
composeLoopGeometric(Matrix, Matrix, double) - Static method in class jline.lang.workflow.Workflow: Geometric repetition of a PH law, the POST_LOOP semantics of an activity graph: the number of executions of the body is geometric of mean COUNT.
composeMixture(List<Matrix>, List<Matrix>, double[]) - Static method in class jline.lang.workflow.Workflow: Probabilistic mixture of several PH laws, which is aph_simplify pattern 3 generalised to any number of branches.
composeParallel(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lang.workflow.Workflow
composeRepeat(Matrix, Matrix, int) - Static method in class jline.lang.workflow.Workflow: Deterministic COUNT-fold convolution of a PH law.
ComposeResult(MatrixCell, List<MatrixCell>, int) - Constructor for class jline.lib.kpctoolbox.kpcfit.KPCFit.ComposeResult
composeSerial(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lang.workflow.Workflow
COMPOUND - Enum constant in enum jline.api.npfqn.Npfqn_sqd.V1Policy
compress - Variable in class jline.solvers.SolverOptions.Config: State space compression method
compressCoxian(MatrixCell) - Static method in class jline.lib.m3a.M3A
compressCoxian(MatrixCell, int) - Static method in class jline.lib.m3a.M3A: Compresses an MMAP using the M3A Coxian approximation method.
compressErlang(MatrixCell) - Static method in class jline.lib.m3a.M3A
compressErlang(MatrixCell, int) - Static method in class jline.lib.m3a.M3A: Compresses an MMAP using the M3A Erlang approximation method.
compressHyperExponential(MatrixCell) - Static method in class jline.lib.m3a.M3A
compressHyperExponential(MatrixCell, int) - Static method in class jline.lib.m3a.M3A: Compresses an MMAP using the M3A hyper-exponential approximation method.
compression() - Method in class jline.api.mdd.MddStats: Explicit footprint divided by the diagram footprint.
compressMinimal(MatrixCell) - Static method in class jline.lib.m3a.M3A
compressMinimal(MatrixCell, double) - Static method in class jline.lib.m3a.M3A: Compresses an MMAP using the M3A minimal representation method.
compressPhaseType(MatrixCell) - Static method in class jline.lib.m3a.M3A
compressPhaseType(MatrixCell, int) - Static method in class jline.lib.m3a.M3A: Compresses an MMAP using the M3A phase-type approximation method.
compute() - Method in class jline.lib.perm.AdaPartSampler
compute() - Method in class jline.lib.perm.BethePermanent
compute() - Method in class jline.lib.perm.HeuristicPermanent
compute() - Method in class jline.lib.perm.HuberLawSampler
compute() - Method in class jline.lib.perm.NaivePermanent
compute() - Method in class jline.lib.perm.Permanent
compute() - Method in class jline.lib.perm.PermSolver: Compute the permanent or approximation for the given matrix.
compute() - Method in class jline.lib.perm.RyzerPermanent
compute() - Method in class jline.lib.perm.SaddlePointPermanent
compute(LayeredNetworkStruct) - Static method in class jline.api.lqn.Lqn_boxbounds
compute(LayeredNetworkStruct) - Static method in class jline.api.lqn.LqnBalanceEquations: Enumerate the relations of LQN symbolically.
compute(LayeredNetworkStruct, LqnBalanceEquations.Solution) - Static method in class jline.api.lqn.LqnBalanceEquations: Enumerate the relations of LQN and, when SOL is given, instantiate each one and report its residual.
compute(Network) - Static method in class jline.opt.sensitivity.SensitivityTable: Analytic sensitivities for the model, or null when unavailable.
compute(Network, boolean) - Static method in class jline.opt.sensitivity.SensitivityTable: Analytic sensitivities for the model, or null when unavailable.
compute(Matrix, NetworkStruct) - Method in class jline.lang.reward.RewardDescriptor
compute(Matrix, NetworkStruct) - Method in interface jline.lang.reward.RewardFunction: Compute the reward value for a given state.
compute(Matrix, NetworkStruct) - Method in class jline.lang.reward.TabulatedRewardFunction
compute_norm_const(Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_nc
compute_norm_const(Matrix, Matrix, Matrix, SolverOptions, boolean) - Static method in class jline.api.pfqn.nc.Pfqn_nc: Auxiliary routine that computes lG after the initial filtering of L, N and Z.
compute_norm_const_ld(Matrix, Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.ld.Pfqn_ncld
computeAutocorrelation(MatrixCell, int) - Static method in class jline.lib.m3a.M3aUtils: Computes the autocorrelation function of an MMAP up to the specified lag.
computeCdf(Matrix, Matrix, double, double[]) - Static method in class jline.api.map.MAPM1PSCdfRespT
computeCdf(Matrix, Matrix, double, double[], double) - Static method in class jline.api.map.MAPM1PSCdfRespT
computeCdf(Matrix, Matrix, double, double[], double, double) - Static method in class jline.api.map.MAPM1PSCdfRespT
computeCoeffVar(MatrixCell) - Static method in class jline.lib.m3a.M3aUtils: Computes the coefficient of variation of an MMAP.
computeConditionalMetrics(Network, Matrix) - Static method in class jline.api.fes.FESAggregator: Deprecated.

Per-station metrics of the ISOLATED subnetwork at every population state.
computeCost(Map<String, Object>) - Method in class jline.opt.objectives.BudgetConstraint
computeDerivatives(double, double[], double[]) - Method in class jline.solvers.fluid.handlers.MatrixMethodODE
computeDerivatives(double, double[], double[]) - Method in class jline.solvers.fluid.handlers.PassageTimeODE
computeIDC(MatrixCell, double) - Static method in class jline.lib.m3a.M3aUtils: Computes the index of dispersion for counts (IDC) of an MMAP.
computeKLDivergence(MatrixCell, MatrixCell) - Static method in class jline.lib.m3a.M3aUtils
computeKLDivergence(MatrixCell, MatrixCell, int) - Static method in class jline.lib.m3a.M3aUtils
computeKLDivergence(MatrixCell, MatrixCell, int, int) - Static method in class jline.lib.m3a.M3aUtils: Computes the Kullback-Leibler divergence between two MMAPs.
computeLayout() - Method in class jline.io.tikz.SequenceDiagramLayoutEngine: Computes the complete layout for the sequence diagram.
computeLayout() - Method in class jline.io.tikz.TikZLayoutEngine: Computes the layout for all nodes.
computeLqnSensitivities(SolverLN) - Static method in class jline.opt.LqnAdapter: Reshape SolverLN's per-layer service-rate sensitivity table into {station||jobclass: {Tput,RespT,QLen,Util}}, each value the derivative of that layer row's mean measure with respect to that station-class service RATE.
computeMoments(MatrixCell, int) - Static method in class jline.lib.m3a.M3aUtils: Computes the first n moments of an MMAP.
computeNumVars(int, int, int, int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi
computeOBMStatistics(List<Double>, int) - Static method in class jline.solvers.ldes.handlers.Solver_ssj: Compute OBM (Overlapping Batch Means) statistics with 50% overlap.
computePi(Matrix, FJArrival, FJService, FJServiceH, int, Matrix, Matrix) - Static method in class jline.lib.fjcodes.ComputePi: Compute steady-state distribution for the case with 2 replicas.
ComputePi - Class in jline.lib.fjcodes
computeSojournCdf(int, double) - Method in class jline.solvers.env.SolverENV: Evaluates the per-stage sojourn-time CDF Pr{S_e <= t} for stage e.
computeSpectralGap(MatrixCell) - Static method in class jline.lib.m3a.M3aUtils: Computes the spectral gap of an MMAP generator matrix.
computeSpectralStatistics(List<Double>, int) - Static method in class jline.solvers.ldes.handlers.Solver_ssj: Overload for default lowFreqFrac = 0.25.
computeSpectralStatistics(List<Double>, int, double) - Static method in class jline.solvers.ldes.handlers.Solver_ssj: Compute Heidelberger-Welch spectral analysis statistics.
computeStandardBatchMeansStatistics(List<Double>, int) - Static method in class jline.solvers.ldes.handlers.Solver_ssj: Compute standard (non-overlapping) batch means statistics.
computeT(FJArrival, FJService, FJServiceH, int) - Static method in class jline.lib.fjcodes.ComputeT
computeT(FJArrival, FJService, FJServiceH, int, String) - Static method in class jline.lib.fjcodes.ComputeT: Compute T-matrix using specified method.
ComputeT - Class in jline.lib.fjcodes
computeT_NARE(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.fjcodes.ComputeT_NARE
ComputeT_NARE - Class in jline.lib.fjcodes: Compute T-matrix using NARE (Nonsymmetric Algebraic Riccati Equation) method.
computeT_Sylvester(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.fjcodes.ComputeT_Sylvester: Compute T-matrix via Sylvester equation method
ComputeT_Sylvester - Class in jline.lib.fjcodes
ComputeT.ComputeTResult - Class in jline.lib.fjcodes: Result of computeT.
ComputeTResult(Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.lib.fjcodes.ComputeT.ComputeTResult
computeWaypoints(Node, Node, List<Node>) - Method in class jline.io.tikz.TikZEdgeRouter: Computes waypoints for an edge to avoid overlapping nodes.
computeWeaklyConnectedComponents() - Method in class jline.util.graph.UndirectedGraph
concat(int[], int[]) - Static method in class jline.lib.butools.mam.FluidTools: Concatenate two index arrays.
concatCols(Matrix) - Method in class jline.util.matrix.Matrix: Concatenates this matrix with another matrix horizontally.
concatColumns(Matrix, Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Concatenates two matrices horizontally (column-wise).
concatColumns(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix
concatColumnsInPlace(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.BaseMatrix: Concatenates matrices column-wise.
concatColumnsInPlace(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.DenseMatrix
concatColumnsInPlace(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix
concatColumnsInPlaceStatic(DMatrix, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
concatColumnsStatic(DMatrix, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
concatRows(ComplexMatrix, ComplexMatrix, ComplexMatrix) - Static method in class jline.util.matrix.ComplexMatrix: Concatenates two complex matrices vertically (row-wise).
concatRows(Matrix, Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Concatenates two matrices vertically (row-wise).
concatRows(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix
concatRowsInPlace(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.BaseMatrix: Concatenates matrices row-wise.
concatRowsInPlace(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.DenseMatrix
concatRowsInPlace(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix
concatRowsInPlaceStatic(DMatrix, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
concatRowsStatic(DMatrix, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
cond - Variable in class jline.inference.lang.SampledMetric
condition - Variable in class jline.solvers.fluid.moments.FluidRefineMeanfield.Result: Condition number of the Jacobian on the reachable subspace.
ConditionEvent - Class in jline.inference.lang: Conditioning event for sampled metrics.
ConditionEvent(Node, JobClass, Object) - Constructor for class jline.inference.lang.ConditionEvent
confidence - Variable in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
config - Variable in class jline.solvers.SolverOptions: Advanced configuration options
Config() - Constructor for class jline.solvers.SolverOptions.Config
confint - Variable in class jline.solvers.SolverOptions: Confidence interval level for simulation-based solvers.
confint(double) - Method in class jline.solvers.SolverOptions: Sets the confidence interval level for simulation-based solvers (builder pattern).
conjugateTranspose() - Method in class jline.util.matrix.ComplexMatrix: Returns the conjugate transpose (Hermitian transpose) of this complex matrix.
connComp - Variable in class jline.api.sym.SymEngine.CTMCMeasures: Component index of each state, one based
connComp - Variable in class jline.api.sym.SymEngine.CTMCSolution: Component index of each state, one based
ConnectedComponents(int, int[]) - Constructor for class jline.lib.kpctoolbox.mc.CTMC.ConnectedComponents
connectionMatrix(Network) - Static method in class jline.opt.variables.DecisionVariable: Node-by-node binary connection (adjacency) matrix.
connmatrix - Variable in class jline.lang.NetworkStruct
conntasks - Variable in class jline.lang.layered.LayeredNetworkStruct
conservation - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Largest violation of the conservation rows at the reported point.
conservation(PetriTerms) - Static method in class jline.solvers.fluid.petri.PetriConservation: Build the conservation rows of a term set.
constant(double) - Method in class jline.util.symbolic.SymContext: A double carried in EXACTLY, as the dyadic rational it already is.
constant(long) - Method in class jline.util.symbolic.SymContext: An exact integer constant.
CONSTANT - Static variable in class jline.lang.constant.RetrialPolicy: The orbit retries as a whole at rate nu whenever it is non-empty.
ConstantGen(RandomStream, double) - Constructor for class jline.solvers.ldes.handlers.Solver_ssj.ConstantGen
constantSchedule() - Static method in class jline.examples.java.basic.OpenMAPtServiceModel: The same queue served by a MAP_t whose segments are IDENTICAL, which carries no time dependence and must therefore reproduce OpenMAPtServiceModel.homogeneousReference().
Constraint - Class in jline.opt.objectives: Abstract base for line-opt constraints.
Constraint(String) - Constructor for class jline.opt.objectives.Constraint
constraintBuilder() - Method in class jline.api.mapqn.Mapqn_lpmodel: Create a linear constraint builder
constraintBuilder(int) - Method in class jline.api.mapqn.Mapqn_lpmodel
constraints - Variable in class jline.opt.objectives.Objective
constraints(NetworkStruct, PetriTerms) - Static method in class jline.solvers.fluid.petri.PetriConstraints: Build the capacity rows of a term set.
ConstraintSet(List<double[]>, List<Double>, List<double[]>, List<Double>) - Constructor for class jline.api.mapqn.Mapqn_qrf_noblo_mmi.ConstraintSet
constraintViolations - Variable in class jline.opt.results.OptimizationResult
construct() - Method in class jline.solvers.ln.SolverLN
constructNotAllBusy(int, FJService, FJServiceH) - Static method in class jline.lib.fjcodes.FJStateSpace: Construct state space matrix for not-all-busy states.
constructSRK(int, FJService, FJServiceH, Matrix) - Static method in class jline.lib.fjcodes.FJStateSpace: Construct extended state space matrices (Se, Sestar, R0, Ke, Kc).
consumed - Variable in class jline.api.sn.SnPnFiringRates.Ret: Tokens consumed, indexed [mode][place][class].
consumers - Variable in class jline.solvers.fluid.petri.PetriTerms
consumersOf(int, int) - Method in class jline.solvers.fluid.petri.PetriTerms
consumerW - Variable in class jline.solvers.fluid.petri.PetriTerms
consumerWOf(int, int) - Method in class jline.solvers.fluid.petri.PetriTerms
container - Variable in class jline.solvers.SolverOptions: Docker image to dispatch an external tool through, overriding the default candidates.
contains(EventCacheKey) - Method in class jline.lang.state.EventCache
containsJobClass(JobClass) - Method in class jline.lang.nodes.Queue: Checks whether this queue has a service process configured for the specified job class.
containsJobClass(JobClass) - Method in class jline.lang.nodes.Source: Checks if this source has an arrival process configured for the specified job class.
containsJobClass(JobClass) - Method in class jline.lang.sections.ServiceSection
containsKey(String) - Method in class jline.solvers.SolverOptions.Config: Check if a configuration parameter exists
context() - Method in class jline.util.matrix.SymMatrix
context() - Method in class jline.util.symbolic.SymExpr
ContinuousDistribution - Class in jline.lang.processes: An abstract class for continuous distributions
ContinuousDistribution(String, int, Pair<Double, Double>) - Constructor for class jline.lang.processes.ContinuousDistribution
convention - Variable in class jline.api.lqn.LqnBalanceEquations.Result
converged - Variable in class jline.api.da.Da_fpi.Result
converged - Variable in class jline.inference.api.VariationalResult
converged - Variable in class jline.opt.results.WorkflowResult
converged - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Whether that residual reached options.tol.
converged - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
converged - Variable in class jline.solvers.ldes.LDESResult: Flag indicating whether the simulation converged before reaching max events/time
converged - Variable in class jline.solvers.mva.MVAResult: Whether the fixed point met its tolerance, or null when the handler does not report one.
converged(int) - Method in class jline.solvers.EnsembleSolver
converged(int) - Method in class jline.solvers.env.SolverENV
converged(int) - Method in class jline.solvers.ln.SolverLN
converged(int) - Method in class jline.solvers.uq.SolverUQ
converged(TransformSolve.Expanded, List<TransformSolve.Inner>, int) - Method in class jline.solvers.tr.ChainsStrategy
converged(TransformSolve.Expanded, List<TransformSolve.Inner>, int) - Method in class jline.solvers.tr.LcStrategy
converged(TransformSolve.Expanded, List<TransformSolve.Inner>, int) - Method in interface jline.solvers.tr.TransformSolve.Strategy: True when the sweep may stop.
convergedStoch(int) - Method in class jline.solvers.ln.SolverLN: Convergence controller for stochastic layer solvers (Robbins-Monro mode).
convergenceBatches - Variable in class jline.solvers.ldes.LDESResult: Number of batches used for final confidence interval estimation
convergenceHistory - Variable in class jline.opt.results.OptimizationResult
convert(LayeredNetwork) - Static method in class jline.io.LQN2QN: Converts a LayeredNetwork to an equivalent queueing network using REPLY signals.
convert(LayeredNetwork, String) - Static method in class jline.io.LQN2QN: Converts a LayeredNetwork to an equivalent queueing network using REPLY signals.
convert(Network) - Static method in class jline.io.QN2LQN: Convert a Network model to a LayeredNetwork.
convert_to_arraylist(T[]) - Static method in class jline.lib.lti.cme
convert_to_laplace(ArrayList<Double>) - Static method in class jline.lib.lti.cme
convertToBenchmarkResult(String, Map<String, Object>) - Static method in class jline.bench.BenchmarkRegression: Convert benchmark results from Map format to BenchmarkResult
convertToFJArrival(Matrix, Matrix) - Static method in class jline.api.fj.FJConvert: Convert LINE MAP to FJ arrival format
convertToFJService(Matrix, Matrix, Matrix) - Static method in class jline.api.fj.FJConvert: Convert LINE PH to FJ service format
convertToFJServiceFromProc(MatrixCell) - Static method in class jline.api.fj.FJConvert: Convert LINE process cell {D0, D1} to FJ service format.
convolve(GMM) - Method in class jline.lang.processes.GMM: Creates a new GMM by convolving this GMM with another GMM.
coordClass - Variable in class jline.solvers.fluid.petri.PetriTerms
coordNode - Variable in class jline.solvers.fluid.petri.PetriTerms
coordStation - Variable in class jline.solvers.fluid.petri.PetriTerms
copy() - Method in class jline.inference.lang.SampledMetric
copy() - Method in interface jline.lang.Copyable: Creates a deep copy of this object using serialization.
copy() - Method in class jline.lang.nodes.Node: Returns a copy of this node.
copy() - Method in class jline.lang.StateDepRouting: Deep copy, sharing the declared node objects.
copy() - Method in class jline.solvers.ag.AGOptions: Preserve the AG fields across the defensive copy the Solver constructor takes.
copy() - Method in class jline.solvers.auto.AUTOptions
copy() - Method in class jline.solvers.ldes.LDESOptions: Creates a deep copy of this LDESOptions object.
copy() - Method in class jline.solvers.QrfParams
copy() - Method in class jline.solvers.SolverOptions: Creates a deep copy of this SolverOptions instance.
copy() - Method in class jline.util.matrix.BaseMatrix: Creates and returns a deep copy of this matrix.
copy() - Method in class jline.util.matrix.ComplexMatrix: Creates a deep copy of this complex matrix.
copy() - Method in class jline.util.matrix.DenseMatrix: Creates and returns a deep copy of this dense matrix.
copy() - Method in class jline.util.matrix.Matrix: Returns a deep copy of this matrix.
copy() - Method in class jline.util.matrix.SparseMatrix: Creates and returns a deep copy of this sparse matrix.
copy() - Method in class jline.util.matrix.SymMatrix
copy(double) - Method in class jline.solvers.SolverOptions.ODESolvers: Returns a copy for a cloned SolverOptions.
copy(Matrix, Matrix) - Method in class jline.lib.butools.ph.PHRepresentation
COPY - Enum constant in enum jline.api.sn.ModifyMode: Create a deep copy of the NetworkStruct, modify the copy, and return it.
Copyable - Interface in jline.lang: Copyable interface allows to perform deep-copy of objects via the copy() method.
copyElement() - Method in class jline.lang.nodes.Node: Returns a copy of this node, twin of the MATLAB Node.copyElement: every field is copied shallowly, then the three sections are copied so the clone can be re-wired without disturbing the original.
copyElement() - Method in class jline.lang.sections.OutputSection
copyElement() - Method in class jline.lang.sections.Section: Returns a copy of this section, twin of the MATLAB copyElement of a Copyable section.
copyElement() - Method in class jline.lang.sections.ServiceSection
copyModel() - Method in class jline.opt.LineEvaluator: Deep copy the base model (flat Network or LayeredNetwork).
corr - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: The bracket multiplying the leading term.
costcap - Variable in class jline.lang.nodeparam.CacheNodeParam: Per-list cap on the total storage cost of the resident items [1 x lists]; null when unset
costcapglobal - Variable in class jline.lang.nodeparam.CacheNodeParam: True when costcap was declared as a single cache-wide cap
count - Variable in class jline.lang.layered.LayeredNetworkElement.ServerPool
count - Variable in class jline.lang.state.CtmcPool: Servers per pool.
count - Variable in class jline.lang.workflow.Workflow.SPNode: Mean number of executions of a loop body.
count(double) - Method in class jline.util.matrix.Matrix: Counts how many elements in the matrix are equal to a specified value.
countEachRow(double) - Method in class jline.util.matrix.BaseMatrix: Counts occurrences of each unique value in each row.
countEachRow(double) - Method in class jline.util.matrix.DenseMatrix
countEachRow(double) - Method in class jline.util.matrix.Matrix: Counts the number of occurrences of a value in each row of the matrix.
countEachRow(double) - Method in class jline.util.matrix.SparseMatrix: Counts occurrences of each unique value in each row.
countingResidual - Variable in class jline.api.qsys.QsysMapG1kResult: |1 - sum_n c_n| at the truncation.
counts - Variable in class jline.lang.layered.LayeredNetworkStruct.ServerPools
counts - Variable in class jline.solvers.wrappers.jmt.handlers.SaveHandlers.ServerPools: Servers held by each pool.
CountStatistics - Class in jline.api.trace: Data class for count statistics
CountStatistics(double, int, SingleClassCountStats[], double) - Constructor for class jline.api.trace.CountStatistics
couple(TransformSolve.Expanded, List<TransformSolve.Inner>, int) - Method in class jline.solvers.tr.ChainsStrategy
couple(TransformSolve.Expanded, List<TransformSolve.Inner>, int) - Method in class jline.solvers.tr.LcStrategy
couple(TransformSolve.Expanded, List<TransformSolve.Inner>, int) - Method in interface jline.solvers.tr.TransformSolve.Strategy: Updates the subproblems from the sweep so far.
cov - Variable in class jline.io.Ret.pfqnQlenMoments
Cov - Variable in class jline.io.Ret.pfqnSensLinearizer
Cov - Variable in class jline.io.Ret.pfqnSensMom
Cov - Variable in class jline.solvers.NetworkMomentStationResult: M x M, Cov(i,j) = Cov[Q_i,Q_j]; the diagonal is Var.
CovAsym - Variable in class jline.io.Ret.pfqnSensLinearizer
CovAsym - Variable in class jline.io.Ret.pfqnSensMom
CovAsym - Variable in class jline.solvers.NetworkMomentStationResult: Asymmetry residual of the underlying recursion.
cover - Variable in class jline.solvers.fluid.petri.PetriConstraints: cover[r][s] is true where row r caps coordinate s.
covers - Variable in class jline.io.LineCitations.Citation: One line naming the part of the solution process the paper covers.
CovG - Variable in class jline.io.Ret.pfqnSensMom
CovG - Variable in class jline.solvers.NetworkMomentStationResult: The general (M x G x M x G) covariance, CovG[i][g] being an M x G matrix whose (j,g2) entry is Cov[Q_(i,g),Q_(j,g2)].
covIdx - Variable in class jline.solvers.fluid.moments.FluidMomentTerms: Coordinates carrying a real population, i.e.
covIdx - Variable in class jline.solvers.fluid.petri.PetriTerms: THE COVARIANCE COVERS EVERY COORDINATE, phases included: the rate of a multi-phase mode is linear in y and reads no marking, so dropping the phases would sever that mode's whole restoring force.
covPairs - Variable in class jline.solvers.fluid.petri.PetriTerms
Cox2 - Class in jline.lang.processes: A Coxian distribution with 2 phases.
Cox2(double, double, double) - Constructor for class jline.lang.processes.Cox2
COX2 - Enum constant in enum jline.lang.constant.ProcessType
Coxian - Class in jline.lang.processes: A general Coxian distribution with n phases.
Coxian(List<Double>, List<Double>) - Constructor for class jline.lang.processes.Coxian
Coxian(Matrix, Matrix) - Constructor for class jline.lang.processes.Coxian
COXIAN - Enum constant in enum jline.lang.constant.ProcessType
CoxianParameters(int) - Constructor for class jline.lib.m3a.M3A.CoxianParameters
cpos(Matrix, int, int) - Static method in class jline.lang.state.AfterEventCache
cQ - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
cqn_bcmp_theorem() - Static method in class jline.examples.java.basic.ClosedExamples: BCMP theorem validation example (cqn_bcmp_theorem.ipynb).
cqn_bcmp_theorem_fcfs() - Static method in class jline.examples.java.basic.ClosedModel: Two-class FCFS network demonstrating First-Come-First-Served scheduling.
cqn_bcmp_theorem_lcfspr() - Static method in class jline.examples.java.basic.ClosedModel: Two-class LCFSPR network demonstrating Last-Come-First-Served Preemptive Resume.
cqn_bcmp_theorem_ps() - Static method in class jline.examples.java.basic.ClosedModel: Simple two-class PS network for processor sharing demonstration.
cqn_lcfs_lcfspr() - Static method in class jline.examples.java.basic.ClosedModel: Two-class closed network with LCFS and LCFSPR scheduling.
cqn_lcfs_lcfspr_3class() - Static method in class jline.examples.java.basic.ClosedModel: Creates a closed queueing network with LCFS and LCFSPR scheduling - 3 class variant.
cqn_lcfs_lcfspr_4class() - Static method in class jline.examples.java.basic.ClosedModel: Creates a closed queueing network with LCFS and LCFSPR scheduling - 4 class variant.
cqn_mmpp2_service() - Static method in class jline.examples.java.basic.ClosedExamples: MMPP2 service process example (cqn_mmpp2_service.ipynb).
cqn_mmpp2_service() - Static method in class jline.examples.java.basic.ClosedModel: APH service distributions with complex routing patterns.
cqn_multiserver() - Static method in class jline.examples.java.basic.ClosedExamples: Multi-server closed network (cqn_multiserver.ipynb).
cqn_multiserver() - Static method in class jline.examples.java.basic.ClosedModel: Four-class closed network with multiple FCFS queues.
cqn_oneline() - Static method in class jline.examples.java.basic.ClosedExamples: One-line closed network specification (cqn_oneline.ipynb).
cqn_oneline() - Static method in class jline.examples.java.basic.ClosedModel: Two-class closed network with four-node cyclic topology.
cqn_repairmen() - Static method in class jline.examples.java.basic.ClosedExamples: Repairman model (cqn_repairmen.ipynb).
cqn_repairmen() - Static method in class jline.examples.java.basic.ClosedModel: Simple closed network with a delay node and FCFS queue.
cqn_repairmen_multi() - Static method in class jline.examples.java.basic.ClosedExamples: Multi-class repairman model (cqn_repairmen_multi.ipynb).
cqn_repairmen_multi() - Static method in class jline.examples.java.basic.ClosedModel: Two-class closed network with multi-server queue.
cqn_scheduling_dps() - Static method in class jline.examples.java.basic.ClosedExamples: Discriminatory processor sharing (cqn_scheduling_dps.ipynb).
cqn_scheduling_dps() - Static method in class jline.examples.java.basic.ClosedModel: Mixed scheduling strategies with probabilistic routing.
cqn_threeclass_hyperl() - Static method in class jline.examples.java.basic.ClosedExamples: Three-class hyperexponential system (cqn_threeclass_hyperl.ipynb).
cqn_threeclass_hyperl() - Static method in class jline.examples.java.basic.ClosedModel: Three-class closed network with multi-server PS queue.
cqn_twoclass_erl() - Static method in class jline.examples.java.basic.ClosedExamples: Two-class Erlang system (cqn_twoclass_erl.ipynb).
cqn_twoclass_erl() - Static method in class jline.examples.java.basic.ClosedModel: Closed network with class switching using probabilistic routing.
cqn_twoclass_hyperl() - Static method in class jline.examples.java.basic.ClosedExamples: Two-class hyperexponential system (cqn_twoclass_hyperl.ipynb).
cqn_twoclass_hyperl() - Static method in class jline.examples.java.basic.ClosedModel: Two-class closed network with class switching.
cqn_twoqueues_multi() - Static method in class jline.examples.java.basic.ClosedExamples: Two queues with multi-class system (cqn_twoqueues_multi.ipynb).
cqn_twoqueues_multi() - Static method in class jline.examples.java.basic.ClosedModel: Two-class three-node closed network with serial topology.
CQNBenchmarkResult(String, Map<String, Object>) - Constructor for class jline.bench.cqn.CQNResultsFormatter.CQNBenchmarkResult
CQNResultsAccumulator() - Constructor for class jline.bench.cqn.CQNResultsFormatter.CQNResultsAccumulator
CQNResultsFormatter - Class in jline.bench.cqn: Formats CQN benchmark results in MATLAB-style output format
CQNResultsFormatter() - Constructor for class jline.bench.cqn.CQNResultsFormatter
CQNResultsFormatter.CQNBenchmarkResult - Class in jline.bench.cqn: Benchmark result data structure
CQNResultsFormatter.CQNResultsAccumulator - Class in jline.bench.cqn: Accumulates benchmark results for batch formatting
cR - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
CR - Enum constant in enum jline.lib.butools.mam.GM1FundamentalMatrix.GM1Method
CR - Enum constant in enum jline.lib.butools.mam.MG1FundamentalMatrix.MG1Method
create(Network) - Static method in class jline.solvers.auto.LINE: Convenience method - create LINE solver with default settings
create(Network) - Method in interface jline.solvers.uq.SolverUQ.SolverFactory
create(Network, String) - Static method in class jline.solvers.auto.LINE: Convenience method - create LINE solver with method
create(AGOptions) - Static method in class jline.solvers.ag.AgExec: Resolve the backend named by the options.
createAccumulator() - Static method in class jline.bench.cqn.CQNResultsFormatter: Create a standalone formatter for custom use
createAccumulator() - Static method in class jline.bench.mqn.MQNResultsFormatter
createAccumulator() - Static method in class jline.bench.oqn.OQNResultsFormatter
createBaseline(List<BenchmarkRegression.BenchmarkResult>) - Static method in class jline.bench.BenchmarkRegression: Create baseline from current benchmark results
createBlockDiagonal(Matrix) - Method in class jline.util.matrix.Matrix: Creates a block diagonal matrix by placing the current matrix in the top-left and another matrix (if provided) in the bottom-right.
createCentralServerModel() - Static method in class jline.examples.java.basic.NetworkVisualizationExample: Creates a central server model (closed network with CPU and multiple disks).
createForkJoinNetwork() - Static method in class jline.examples.java.basic.NetworkVisualizationExample: Creates a network with a Fork-Join structure.
createForwardingExample() - Static method in class jline.examples.java.basic.LayeredVisualizationExample: Creates a simple model demonstrating forwarding calls.
createFromNetworkStruct(NetworkStruct) - Static method in class jline.api.mapqn.Mapqn_parameters_factory
createHierarchicalLayout(int, int) - Method in class jline.io.ModelVisualizer: Creates a hierarchical layout appropriate for the model type.
createHierarchicalLayout(int, int, double) - Method in class jline.io.ModelVisualizer: Creates a hierarchical layout with vertical spacing factor.
createLike(Matrix) - Static method in class jline.util.matrix.Matrix
createLinearReductionParameters(NetworkStruct) - Static method in class jline.api.mapqn.Mapqn_parameters_factory
createMixedClassNetwork() - Static method in class jline.examples.java.basic.NetworkVisualizationExample: Creates a larger mixed-class network with open and closed classes.
createMultiPathNetwork() - Static method in class jline.examples.java.basic.NetworkVisualizationExample: Creates a more complex network with multiple paths.
createNewInstance(int, int, int) - Method in class jline.util.matrix.BaseMatrix: Creates a new instance of the concrete matrix implementation.
createNewInstance(int, int, int) - Method in class jline.util.matrix.DenseMatrix: Creates a new instance of the concrete dense matrix implementation.
createNewInstance(int, int, int) - Method in class jline.util.matrix.SparseMatrix: Creates a new instance of the concrete sparse matrix implementation.
createObjectiveCoefficients(String) - Method in class jline.api.mapqn.Mapqn_lpmodel: Create objective function coefficients array
createOptimalSolver() - Method in class jline.api.wf.Wf_auto_integration
createOptimizedSolver() - Method in class jline.api.wf.WorkflowManager
createSimpleOpenNetwork() - Static method in class jline.examples.java.basic.NetworkVisualizationExample: Creates a simple open queueing network with Source, Queue, Delay, and Sink.
crpSolve(Matrix) - Static method in class jline.lib.butools.mc.CRPSolve
crpSolve(Matrix, double) - Static method in class jline.lib.butools.mc.CRPSolve: Computes the stationary solution of a continuous time rational process (CRP).
CRPSolve - Class in jline.lib.butools.mc
cS - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
cs_implicit() - Static method in class jline.examples.java.basic.ClassSwitchExamples
cs_implicit() - Static method in class jline.examples.java.basic.ClassSwitchingModel: Class switching example with probabilistic transitions.
cs_multi_diamond() - Static method in class jline.examples.java.basic.ClassSwitchExamples
cs_multi_diamond() - Static method in class jline.examples.java.basic.ClassSwitchingModel: Multi-diamond class switching example.
cs_single_diamond() - Static method in class jline.examples.java.basic.ClassSwitchExamples
cs_single_diamond() - Static method in class jline.examples.java.basic.ClassSwitchingModel: Single-diamond class switching example.
cs_transient_class() - Static method in class jline.examples.java.basic.ClassSwitchExamples
cs_transient_class() - Static method in class jline.examples.java.basic.ClassSwitchingModel: Transient class switching example.
cs2 - Variable in class jline.api.npfqn.Npfqn_traffic_idc
csFun - Variable in class jline.lang.sections.ClassSwitcher
CSFunInput - Class in jline.lang.sections: Input class for ClassSwitcher function.
CSFunInput(int, int, Matrix, Matrix) - Constructor for class jline.lang.sections.CSFunInput: Creates a new CSFunInput.
cshare - Variable in class jline.solvers.mam.handlers.Mam_bgchain_station.StationResult: E[min(e+k,c)*e/(e+k) | e], the share the background chain reads back.
cshift - Variable in class jline.lang.layered.LayeredNetworkStruct
csmask - Variable in class jline.lang.NetworkStruct
ctmc() - Static method in class jline.examples.java.advanced.PassAndSwapClosedTandemExample
CTMC - Class in jline.lib.kpctoolbox.mc
CTMC - Class in jline.solvers.ctmc: CTMC is an alias for SolverCTMC (Continuous Time Markov Chain solver).
CTMC - Enum constant in enum jline.lang.constant.SolverType
CTMC(Network) - Constructor for class jline.solvers.ctmc.CTMC
CTMC(Network, Object...) - Constructor for class jline.solvers.ctmc.CTMC
CTMC(Network, String) - Constructor for class jline.solvers.ctmc.CTMC
CTMC(Network, SolverOptions) - Constructor for class jline.solvers.ctmc.CTMC
ctmc_avg_from_pi(NetworkStruct, Matrix, Matrix, Matrix, double[][][], double[][][]) - Static method in class jline.solvers.ctmc.handlers.Ctmc_avg_from_pi
ctmc_avg_from_pi(NetworkStruct, Matrix, Matrix, Matrix, double[][][], double[][][], SolverOptions) - Static method in class jline.solvers.ctmc.handlers.Ctmc_avg_from_pi
Ctmc_avg_from_pi - Class in jline.solvers.ctmc.handlers
Ctmc_avg_from_pi.Result - Class in jline.solvers.ctmc.handlers
ctmc_bicgstab(Matrix, Matrix) - Static method in class jline.api.mc.Ctmc_bicgstab: Solve A*x = b by preconditioned BiCGSTAB with the default tolerance and iteration cap, starting from a uniform initial guess.
ctmc_bicgstab(Matrix, Matrix, double, int) - Static method in class jline.api.mc.Ctmc_bicgstab: Solve A*X = B for every column of B, reusing one incomplete factorization across all of them and starting each column from the previous solution.
ctmc_bicgstab(Matrix, Matrix, double, int, Matrix) - Static method in class jline.api.mc.Ctmc_bicgstab: Solve A*x = b by preconditioned BiCGSTAB.
Ctmc_bicgstab - Class in jline.api.mc
Ctmc_bicgstab.BicgstabResult - Class in jline.api.mc: Outcome of a BiCGSTAB solve.
ctmc_courtois(Matrix, List<List<Integer>>) - Static method in class jline.api.mc.Ctmc_courtois
ctmc_courtois(Matrix, List<List<Integer>>, Double) - Static method in class jline.api.mc.Ctmc_courtois: Courtois decomposition for nearly completely decomposable CTMCs
ctmc_courtois(Matrix, MatrixCell) - Static method in class jline.solvers.env.SolverENV
ctmc_courtois(Matrix, MatrixCell, double) - Static method in class jline.solvers.env.SolverENV
Ctmc_courtois - Class in jline.api.mc
ctmc_decompose(Matrix, MatrixCell, SolverOptions) - Static method in class jline.solvers.env.SolverENV: Perform CTMC decomposition using the configured method.
ctmc_fau(Matrix, Matrix, double) - Static method in class jline.api.mc.Ctmc_fau: Return the transient distribution of the CTMC at time t by fast adaptive uniformization, at the default tolerances.
ctmc_fau(Matrix, Matrix, double, double, double, int) - Static method in class jline.api.mc.Ctmc_fau: Return the transient distribution of the CTMC at time t by fast adaptive uniformization.
Ctmc_fau - Class in jline.api.mc
Ctmc_fau.CtmcFauResult - Class in jline.api.mc: Transient distribution of a fast adaptive uniformization sweep, together with the diagnostics that make its error auditable.
ctmc_foxglynn(Matrix, Matrix, double) - Static method in class jline.api.mc.Ctmc_foxglynn: Return the transient probability distribution of the CTMC by Fox-Glynn uniformization.
ctmc_foxglynn(Matrix, Matrix, double, double, int) - Static method in class jline.api.mc.Ctmc_foxglynn: Return the transient probability distribution of the CTMC by Fox-Glynn uniformization.
Ctmc_foxglynn - Class in jline.api.mc
ctmc_foxglynn_weights(double, double, int) - Static method in class jline.api.mc.Ctmc_foxglynn: Return the Fox-Glynn truncation window and normalized Poisson weights for a Poisson(lambda) mixing distribution at tail-mass tolerance tol.
ctmc_foxglynn_weights(double, double, int, boolean) - Static method in class jline.api.mc.Ctmc_foxglynn: Return the Fox-Glynn truncation window and Poisson weights for a Poisson(lambda) mixing distribution at tail-mass tolerance tol.
Ctmc_foxglynn.FoxGlynnWeights - Class in jline.api.mc: Poisson weights on the Fox-Glynn truncation window.
ctmc_gmres(Matrix, Matrix) - Static method in class jline.api.mc.Ctmc_gmres: Solve A*x = b by restarted GMRES with the default tolerance, restart and iteration cap, starting from a uniform initial guess.
ctmc_gmres(Matrix, Matrix, double, int, int) - Static method in class jline.api.mc.Ctmc_gmres: Solve A*X = B for every column of B, reusing one incomplete factorization across all of them and starting each column from the previous solution.
ctmc_gmres(Matrix, Matrix, double, int, int, Matrix) - Static method in class jline.api.mc.Ctmc_gmres: Solve A*x = b by restarted GMRES.
Ctmc_gmres - Class in jline.api.mc
Ctmc_gmres.GmresResult - Class in jline.api.mc: Outcome of a GMRES solve.
ctmc_hitting_time(Matrix, int[]) - Static method in class jline.api.mc.Ctmc_hitting_time
Ctmc_hitting_time - Class in jline.api.mc: Mean time to reach any state in a target set from each state of a CTMC.
ctmc_isfeasible(Matrix) - Static method in class jline.api.mc.Ctmc_isfeasible: Checks that Q is a valid infinitesimal generator, with the default tolerance of 1e-10.
ctmc_isfeasible(Matrix, double) - Static method in class jline.api.mc.Ctmc_isfeasible: Checks that Q is a valid infinitesimal generator: square, non-negative off-diagonal entries, non-positive diagonal, and zero row sums, each up to the given tolerance.
Ctmc_isfeasible - Class in jline.api.mc
ctmc_kms(Matrix, List<List<Integer>>, int) - Static method in class jline.api.mc.Ctmc_kms: Koury-McAllister-Stewart aggregation-disaggregation method for CTMCs
Ctmc_kms - Class in jline.api.mc
ctmc_makeinfgen(Matrix) - Static method in class jline.api.mc.Ctmc_makeinfgen: Converts a matrix into a valid infinitesimal generator for a CTMC.
ctmc_makeinfgen(Matrix) - Static method in class jline.lib.kpctoolbox.mc.CTMC: Normalizes a matrix to be a valid infinitesimal generator.
Ctmc_makeinfgen - Class in jline.api.mc
ctmc_max_states - Variable in class jline.solvers.SolverOptions: Hard cap on the number of global states CTMC enumeration may produce.
ctmc_multi(Matrix, List<List<Integer>>, List<List<Integer>>) - Static method in class jline.api.mc.Ctmc_multi: Multi-level aggregation method for CTMCs.
Ctmc_multi - Class in jline.api.mc
Ctmc_multi.CtmcMultiResult - Class in jline.api.mc: Result of ctmc_multi computation.
ctmc_passage_lst(CtmcPassagePh, Complex) - Static method in class jline.api.mc.Ctmc_passage_lst: L(s) from a phase-type form already built, so it is not rebuilt per s.
ctmc_passage_lst(Matrix, Matrix, int[], Complex) - Static method in class jline.api.mc.Ctmc_passage_lst: L(s) at a single (possibly complex) point.
ctmc_passage_lst(Matrix, Matrix, int[], Complex[]) - Static method in class jline.api.mc.Ctmc_passage_lst: L(s) on a vector of points.
Ctmc_passage_lst - Class in jline.api.mc: Laplace-Stieltjes transform of the first passage time into a target state set: L(s) = alpha (sI-S)^-1 s0 + atom.
ctmc_passage_moments(Matrix, Matrix, int[], int) - Static method in class jline.api.mc.Ctmc_passage_moments
Ctmc_passage_moments - Class in jline.api.mc: Moments of order 1..nmax of the first passage time into a target state set.
ctmc_passage_ph(Matrix, Matrix, int[]) - Static method in class jline.api.mc.Ctmc_passage_ph
Ctmc_passage_ph - Class in jline.api.mc: Phase-type representation of the first passage time into a target STATE SET.
ctmc_passage_time(Matrix, Matrix, int[], double[]) - Static method in class jline.api.mc.Ctmc_passage_time
ctmc_passage_time(Matrix, Matrix, int[], double[], String, String) - Static method in class jline.api.mc.Ctmc_passage_time
Ctmc_passage_time - Class in jline.api.mc: Cumulative distribution and density of the first passage time into a target state set: F(t) = 1 - alpha exp(St) 1 and f(t) = alpha exp(St) s0.
ctmc_pseudostochcomp(Matrix, List<Double>) - Static method in class jline.api.mc.Ctmc_pseudostochcomp
Ctmc_pseudostochcomp - Class in jline.api.mc
ctmc_rand(int) - Static method in class jline.api.mc.Ctmc_rand: Form a random infinitesimal generator of a CTMC
ctmc_rand(int) - Static method in class jline.lib.kpctoolbox.mc.CTMC: Generates a random infinitesimal generator matrix.
Ctmc_rand - Class in jline.api.mc: CTMC random generator matrix construction.
ctmc_randomization(Matrix) - Static method in class jline.api.mc.Ctmc_randomization
ctmc_randomization(Matrix) - Static method in class jline.lib.kpctoolbox.mc.CTMC
ctmc_randomization(Matrix, Double) - Static method in class jline.api.mc.Ctmc_randomization: Convert a CTMC to a DTMC using randomization technique
ctmc_randomization(Matrix, Double) - Static method in class jline.lib.kpctoolbox.mc.CTMC: Applies uniformization (randomization) to transform a CTMC into a DTMC.
Ctmc_randomization - Class in jline.api.mc
ctmc_relsolve(Matrix) - Static method in class jline.api.mc.Ctmc_relsolve
ctmc_relsolve(Matrix) - Static method in class jline.lib.kpctoolbox.mc.CTMC: Computes the equilibrium distribution relative to a reference state.
ctmc_relsolve(Matrix, int) - Static method in class jline.api.mc.Ctmc_relsolve
ctmc_relsolve(Matrix, int) - Static method in class jline.lib.kpctoolbox.mc.CTMC
ctmc_relsolve(Matrix, int, Map<String, Object>) - Static method in class jline.api.mc.Ctmc_relsolve: Equilibrium distribution of a continuous-time Markov chain re-normalized with respect to the probability of a reference state.
Ctmc_relsolve - Class in jline.api.mc
ctmc_saddlepoint(Matrix, Matrix, double[], int[], String, double[]) - Static method in class jline.api.mc.Ctmc_saddlepoint: Pr{N(t)=k} over arrays of horizons and counts.
ctmc_saddlepoint(Matrix, Matrix, double, int) - Static method in class jline.api.mc.Ctmc_saddlepoint: Pr{N(t)=k} at a single (t,k), with the default method.
ctmc_saddlepoint(Matrix, Matrix, double, int, String) - Static method in class jline.api.mc.Ctmc_saddlepoint: Pr{N(t)=k} at a single (t,k).
Ctmc_saddlepoint - Class in jline.api.mc: Saddlepoint approximation of Pr{N(t)=k} for the counting process of a MAP.
Ctmc_saddlepoint.PerronState - Class in jline.api.mc: Perron root of A(theta) with its first two derivatives in theta and the amplitude of the Perron projection between pi0 and 1.
Ctmc_saddlepoint.SaddlepointResult - Class in jline.api.mc: Result of a saddlepoint evaluation, one entry per (t,k) pair.
ctmc_sens(Matrix, Matrix) - Static method in class jline.api.mc.Ctmc_sens: Sensitivity of the steady-state distribution of a CTMC to a scalar parameter theta, computing pi from Q if it is not supplied.
ctmc_sens(Matrix, Matrix, Matrix) - Static method in class jline.api.mc.Ctmc_sens: Sensitivity of the steady-state distribution of a CTMC to a scalar parameter theta, given the generator Q, its derivative dQ = dQ/dtheta, and the steady-state vector pi.
Ctmc_sens - Class in jline.api.mc
ctmc_simulate(Matrix, double[], int) - Static method in class jline.api.mc.Ctmc_simulate
ctmc_simulate(Matrix, double[], int, Random) - Static method in class jline.api.mc.Ctmc_simulate
Ctmc_simulate - Class in jline.api.mc
ctmc_solve(Matrix) - Static method in class jline.api.mc.Ctmc_solve: Return the steady-state probability of a CTMC, choosing the solution method by size alone.
ctmc_solve(Matrix) - Static method in class jline.lib.kpctoolbox.mc.CTMC: Computes the equilibrium distribution of a continuous-time Markov chain.
ctmc_solve(Matrix, SolverOptions) - Static method in class jline.api.mc.Ctmc_solve: Return the steady-state probability of a CTMC.
Ctmc_solve - Class in jline.api.mc
ctmc_solve_reducible(Matrix) - Static method in class jline.api.mc.Ctmc_solve_reducible
ctmc_solve_reducible(Matrix, Matrix) - Static method in class jline.api.mc.Ctmc_solve_reducible
ctmc_solve_reducible(Matrix, Matrix, Map<String, Object>) - Static method in class jline.api.mc.Ctmc_solve_reducible: Solve reducible CTMCs by converting to DTMC via randomization.
Ctmc_solve_reducible - Class in jline.api.mc
ctmc_solve_reducible_blkdecomp(Matrix) - Static method in class jline.api.mc.Ctmc_solve_reducible_blkdecomp
ctmc_solve_reducible_blkdecomp(Matrix, Matrix) - Static method in class jline.api.mc.Ctmc_solve_reducible_blkdecomp
ctmc_solve_reducible_blkdecomp(Matrix, Matrix, Map<String, Object>) - Static method in class jline.api.mc.Ctmc_solve_reducible_blkdecomp
Ctmc_solve_reducible_blkdecomp - Class in jline.api.mc: Solve reducible CTMCs via direct block decomposition on the generator matrix.
ctmc_solve_reducible_blkdecomp_full(Matrix) - Static method in class jline.api.mc.Ctmc_solve_reducible_blkdecomp
ctmc_solve_reducible_blkdecomp_full(Matrix, Matrix) - Static method in class jline.api.mc.Ctmc_solve_reducible_blkdecomp
ctmc_solve_reducible_blkdecomp_full(Matrix, Matrix, Map<String, Object>) - Static method in class jline.api.mc.Ctmc_solve_reducible_blkdecomp
Ctmc_solve_reducible_blkdecompResult - Class in jline.api.mc: Result of Ctmc_solve_reducible_blkdecomp.ctmc_solve_reducible_blkdecomp_full(jline.util.matrix.Matrix).
Ctmc_solve_reducible_blkdecompResult(Matrix, List<Matrix>, Matrix, List<List<Integer>>, List<Boolean>) - Constructor for class jline.api.mc.Ctmc_solve_reducible_blkdecompResult
ctmc_solve_reducible_full(Matrix) - Static method in class jline.api.mc.Ctmc_solve_reducible
ctmc_solve_reducible_full(Matrix, Matrix) - Static method in class jline.api.mc.Ctmc_solve_reducible
ctmc_solve_reducible_full(Matrix, Matrix, Map<String, Object>) - Static method in class jline.api.mc.Ctmc_solve_reducible: Alternative signature that returns additional information.
Ctmc_solve_reducible.CtmcSolveReducibleResult - Class in jline.api.mc: Result of full reducible CTMC solve.
ctmc_solveFull(Matrix) - Static method in class jline.lib.kpctoolbox.mc.CTMC: Computes the equilibrium distribution with full details.
ctmc_ssg(NetworkStruct, SolverOptions) - Static method in class jline.api.mc.Ctmc_ssg
Ctmc_ssg - Class in jline.api.mc
ctmc_ssg_fj(NetworkStruct, SolverOptions) - Static method in class jline.api.mc.Ctmc_ssg_fj
Ctmc_ssg_fj - Class in jline.api.mc: Reachability-based CTMC state space generation for FJ tag-augmented structs (ModelAdapter.fjtag).
ctmc_ssg_reachability(NetworkStruct, SolverOptions) - Static method in class jline.api.mc.Ctmc_ssg_reachability
Ctmc_ssg_reachability - Class in jline.api.mc: CTMC State Space Generator for Reachability Analysis.
ctmc_stmonotone(Matrix) - Static method in class jline.api.mc.Ctmc_stmonotone: Computes the stochastically monotone upper bound for a CTMC.
Ctmc_stmonotone - Class in jline.api.mc
ctmc_stochcomp(Matrix, List<Double>) - Static method in class jline.api.mc.Ctmc_stochcomp
Ctmc_stochcomp - Class in jline.api.mc
ctmc_takahashi(Matrix, List<List<Integer>>, int) - Static method in class jline.api.mc.Ctmc_takahashi: Takahashi's aggregation-disaggregation method for CTMCs
Ctmc_takahashi - Class in jline.api.mc
ctmc_tandem_mm1() - Static method in class jline.examples.java.solvers.SolverExamples: Two M/M/1 queues in series, solved exactly.
ctmc_testpf_kolmogorov(Matrix) - Static method in class jline.api.mc.Ctmc_testpf_kolmogorov: Test if a CTMC has product form using Kolmogorov's criteria.
Ctmc_testpf_kolmogorov - Class in jline.api.mc
ctmc_timeaverage(Matrix, Matrix, double) - Static method in class jline.api.mc.Ctmc_timeaverage: Time-averaged transient distribution of a CTMC over [0,t].
ctmc_timeaverage(Matrix, Matrix, double, double, int) - Static method in class jline.api.mc.Ctmc_timeaverage
Ctmc_timeaverage - Class in jline.api.mc
ctmc_timereverse(Matrix) - Static method in class jline.api.mc.Ctmc_timereverse: Compute the infinitesimal generator of the time-reserved CTMC
ctmc_timereverse(Matrix) - Static method in class jline.lib.kpctoolbox.mc.CTMC: Computes the time-reversed generator of a CTMC.
Ctmc_timereverse - Class in jline.api.mc
ctmc_transient(Matrix, double) - Static method in class jline.api.mc.Ctmc_transient
ctmc_transient(Matrix, Matrix, double) - Static method in class jline.api.mc.Ctmc_transient
ctmc_transient(Matrix, Matrix, double, double) - Static method in class jline.api.mc.Ctmc_transient
ctmc_transient(Matrix, Matrix, double, double, Double) - Static method in class jline.api.mc.Ctmc_transient
Ctmc_transient - Class in jline.api.mc
ctmc_transient_sens(Matrix, Matrix, double) - Static method in class jline.api.mc.Ctmc_transient_sens: From the uniform initial distribution over [0, t1].
ctmc_transient_sens(Matrix, Matrix, Matrix, double) - Static method in class jline.api.mc.Ctmc_transient_sens: From PI0 over [0, t1].
ctmc_transient_sens(Matrix, Matrix, Matrix, double, double) - Static method in class jline.api.mc.Ctmc_transient_sens
Ctmc_transient_sens - Class in jline.api.mc: Sensitivity of the transient distribution of a CTMC to a scalar parameter.
Ctmc_transient_sens.Result - Class in jline.api.mc: Distribution and its sensitivity on the integrator's accepted grid.
ctmc_tv_ngrid - Variable in class jline.solvers.SolverOptions.Config: CTMC time-varying transient: number of points of the uniform time grid over which the non-homogeneous generator is propagated (one matrix exponential per interval, multiplier frozen at the interval midpoint).
ctmc_uniformization(double[], Matrix, double) - Static method in class jline.lib.kpctoolbox.mc.CTMC: Computes transient probabilities using uniformization method.
ctmc_uniformization(double[], Matrix, double, double, int) - Static method in class jline.lib.kpctoolbox.mc.CTMC
ctmc_uniformization(Matrix, Matrix, double) - Static method in class jline.api.mc.Ctmc_uniformization: Return the transient probability distribution of the CTMC via the uniformization method.
ctmc_uniformization(Matrix, Matrix, double, double, int) - Static method in class jline.api.mc.Ctmc_uniformization
Ctmc_uniformization - Class in jline.api.mc
CTMC.ConnectedComponents - Class in jline.lib.kpctoolbox.mc: Result of connected component analysis.
CTMC.CTMCSolveResult - Class in jline.lib.kpctoolbox.mc: Result of CTMC solving.
ctmcmapc - Variable in class jline.lang.NetworkStruct: CTMC-only: station index -> per-class pair form of a multiserver MAP service, set by Solver_ctmc_mapc.apply on a private copy of the struct.
CtmcMapc - Class in jline.lang.state: Pair form of a multiserver MAP (or MMPP2) service in the CTMC state space, set by Solver_ctmc_mapc.apply; port of the MATLAB sn.ctmcmapc{ist,r} struct.
CtmcMapc(int, int[][], Matrix, double[]) - Constructor for class jline.lang.state.CtmcMapc
ctmcMeasures(String[][], List<String>, String[][], List<String>, List<SymEngine.RatioSpec>) - Method in class jline.api.sym.SageRestEngine
ctmcMeasures(String[][], List<String>, String[][], List<String>, List<SymEngine.RatioSpec>) - Method in interface jline.api.sym.SymEngine: Stationary distribution and a set of weighted sums of it.
CTMCMeasures(List<String>, List<String>, String, int, int[], List<SymEngine.Measure>, List<SymEngine.Measure>) - Constructor for class jline.api.sym.SymEngine.CTMCMeasures
CtmcMultiResult(Matrix, double, double) - Constructor for class jline.api.mc.Ctmc_multi.CtmcMultiResult
CTMCOptions - Class in jline.solvers.ctmc
CTMCOptions() - Constructor for class jline.solvers.ctmc.CTMCOptions
ctmcPassage(String[][], String[], String[], String, List<String>, String, List<String>, int) - Method in class jline.api.sym.SageRestEngine
ctmcPassage(String[][], String[], String[], String, List<String>, String, List<String>, int) - Method in interface jline.api.sym.SymEngine: First passage time into a target set: the transform and the moments.
CtmcPassagePh - Class in jline.api.mc: The phase-type form of a first passage time into a target state set.
CtmcPassagePh(Matrix, Matrix, Matrix, int[], double) - Constructor for class jline.api.mc.CtmcPassagePh
ctmcpool - Variable in class jline.lang.NetworkStruct: CTMC-only: node index -> server-pool bookkeeping of a heterogeneous station, set by Solver_ctmc_pools.apply on a private copy of the struct (MATLAB/Python keep it in nodeparam{ind}.ctmcpool).
CtmcPool - Class in jline.lang.state: Server-pool bookkeeping of a heterogeneous station (Queue.addServerType) as rewritten for the CTMC by jline.solvers.ctmc.handlers.Solver_ctmc_pools; port of MATLAB sn.nodeparam{ind}.ctmcpool.
CtmcPool() - Constructor for class jline.lang.state.CtmcPool
CTMCResult - Class in jline.solvers.ctmc
CTMCResult() - Constructor for class jline.solvers.ctmc.CTMCResult
CTMCResult.AVG - Class in jline.solvers.ctmc
CTMCResult.Prob - Class in jline.solvers.ctmc
CTMCResult.TRAN - Class in jline.solvers.ctmc
CTMCResult.TranProbAggrResult - Class in jline.solvers.ctmc
CTMCResult.TranProbResult - Class in jline.solvers.ctmc
CTMCResult.TranProbSysAggrResult - Class in jline.solvers.ctmc
CTMCResult.TranProbSysResult - Class in jline.solvers.ctmc
ctmcSensitivity(String[][], List<String>, String, List<String>) - Method in class jline.api.sym.SageRestEngine
ctmcSensitivity(String[][], List<String>, String, List<String>) - Method in interface jline.api.sym.SymEngine: Exact parametric sensitivity of a steady-state reward.
CtmcSignalBusy - Class in jline.solvers.ctmc.handlers
CtmcSignalLossy - Class in jline.solvers.ctmc.handlers
ctmcSimulation() - Constructor for class jline.io.Ret.ctmcSimulation
CTMCSolution(List<String>, List<String>, String, int, int[]) - Constructor for class jline.api.sym.SymEngine.CTMCSolution
ctmcSolve(Matrix) - Static method in class jline.lib.butools.mc.CTMCSolve
ctmcSolve(Matrix, double) - Static method in class jline.lib.butools.mc.CTMCSolve: Computes the stationary solution of a continuous time Markov chain.
CTMCSolve - Class in jline.lib.butools.mc
CtmcSolveReducibleResult(Matrix, List<Matrix>, Matrix, List<List<Integer>>, List<Boolean>) - Constructor for class jline.api.mc.Ctmc_solve_reducible.CtmcSolveReducibleResult
CTMCSolveResult(double[], Matrix, int, int[]) - Constructor for class jline.lib.kpctoolbox.mc.CTMC.CTMCSolveResult
CtmcSsgReachabilityResult - Class in jline.api.mc: Result data class for CTMC SSG reachability analysis
CtmcSsgReachabilityResult(Matrix, Matrix, Matrix, Map<StatefulNode, Matrix>, NetworkStruct) - Constructor for class jline.api.mc.CtmcSsgReachabilityResult
CtmcSsgResult(Matrix, Matrix, Matrix, Map<StatefulNode, Matrix>, NetworkStruct) - Constructor for class jline.solvers.ctmc.SolverCTMC.CtmcSsgResult
CtmcStationary - Class in jline.solvers.ctmc: Single entry point for the stationary distribution of a CTMC generated from a NetworkStruct.
ctmcSteadyState(Matrix) - Static method in class jline.lib.kpctoolbox.MarkovChain
ctmcTransient(Matrix, double) - Static method in class jline.lib.kpctoolbox.MarkovChain
cU - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
CUB_MAX_EVALS - Static variable in class jline.api.pfqn.nc.Pfqn_cub: integrand-evaluation budget above which pfqn_nc prefers le over cub
CUB_THINK_STEPS - Static variable in class jline.api.pfqn.nc.Pfqn_cub: quadrature points of v in the think-time branch; pfqn_nc prices CUB against it
cumSum(double[]) - Static method in class jline.util.Maths: Cumulative sum of an array, where the value at each index of the result is the sum of all the previous values of the input.
cumSum(int[]) - Static method in class jline.util.Maths: Cumulative sum of an array, where the value at each index of the result is the sum of all the previous values of the input.
cumsumViaCol() - Method in class jline.util.matrix.Matrix: Computes the cumulative sum of the matrix down each column.
cumsumViaRow() - Method in class jline.util.matrix.Matrix: Computes the cumulative sum of the matrix across each row.
cumulant - Variable in class jline.io.Ret.pfqnQlenMoments
curClass - Variable in class jline.solvers.ln.SolverLN.recurActGraphReturnType
curClassC - Variable in class jline.solvers.ln.SolverLN
currentValue(Object) - Method in class jline.opt.variables.ActivityThinkTime
currentValue(Object) - Method in class jline.opt.variables.DecisionVariable: The variable's current (decoded) value in the given model, or null.
currentValue(Object) - Method in class jline.opt.variables.HostDemand
currentValue(Object) - Method in class jline.opt.variables.ProcessorMultiplicity
currentValue(Object) - Method in class jline.opt.variables.TaskMultiplicity
currentValue(Object) - Method in class jline.opt.variables.TaskReplication
currentValue(Object) - Method in class jline.opt.variables.TaskThinkTime
curStations - Variable in class jline.solvers.ln.SolverLN.recurActGraphReturnType
custom(RewardFunction) - Static method in class jline.lang.reward.Reward: Wraps an arbitrary user reward function.
Custom - Enum constant in enum jline.lang.reward.RewardDescriptor.Kind
customromberg - Class in jline.lib.lti
CustomSolverFactory(SolverType, double, int) - Constructor for class jline.bench.lqn.BenchLQN_Custom.CustomSolverFactory
cutoff - Variable in class jline.solvers.SolverOptions: Cutoff threshold for numerical computations.
cutoff(double) - Method in class jline.solvers.SolverOptions: Sets the numerical cutoff threshold as a scalar value (builder pattern).
cutoff(int) - Method in class jline.solvers.SolverOptions: Sets the numerical cutoff threshold as a scalar value (builder pattern).
cutoff(Matrix) - Method in class jline.solvers.SolverOptions: Sets the numerical cutoff threshold as a matrix (builder pattern).
cutoffs - Variable in class jline.api.fes.FESDeaggInfo
cV - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
cv2 - Variable in class jline.lib.lti.iltcme.CmeEntry
cvA - Variable in class jline.api.infer.InferLqnOptions
cvec - Variable in class jline.solvers.fluid.petri.PetriMode: Incidence column over the whole state, post minus pre.
cyclesCompleted - Variable in class jline.opt.results.WorkflowResult
cyclic(Matrix, Matrix, SchedStrategy[], Matrix) - Static method in class jline.lang.Network: Creates a cyclic queueing network model with specified job populations, service demands, scheduling strategies, and server counts.
cyclicFcfs(Matrix, Matrix) - Static method in class jline.lang.Network: Creates a cyclic queueing network with First Come First Served (FCFS) scheduling at all stations.
cyclicFcfs(Matrix, Matrix, Matrix) - Static method in class jline.lang.Network: Creates a cyclic queueing network with FCFS scheduling and specified server counts.
cyclicFcfsInf(Matrix, Matrix, Matrix) - Static method in class jline.lang.Network: Creates a cyclic network with infinite server (delay) stations followed by FCFS queue stations.
cyclicFcfsInf(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lang.Network: Creates a cyclic network with infinite server stations followed by FCFS queue stations with specified server counts.
cyclicGraph(int) - Static method in class jline.gen.NetworkGenerator: Generate a cyclic graph topology
CyclicPollingExamples - Class in jline.examples.java.advanced: Examples demonstrating cyclic polling systems.
CyclicPollingExamples() - Constructor for class jline.examples.java.advanced.CyclicPollingExamples
CyclicPollingModel - Class in jline.examples.java.advanced: Examples of models with polling
CyclicPollingModel() - Constructor for class jline.examples.java.advanced.CyclicPollingModel
cyclicPs(Matrix, Matrix) - Static method in class jline.lang.Network: Creates a cyclic queueing network with Processor Sharing (PS) scheduling at all stations.
cyclicPs(Matrix, Matrix, Matrix) - Static method in class jline.lang.Network: Creates a cyclic queueing network with PS scheduling and specified server counts.
cyclicPsInf(Matrix, Matrix, Matrix) - Static method in class jline.lang.Network: Creates a cyclic network with infinite server (delay) stations followed by PS queue stations.
cyclicPsInf(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lang.Network: Creates a cyclic network with infinite server stations followed by PS queue stations with specified server counts.

D

d - Variable in class jline.api.fj.FJ_dispersion.FJDelayOptResult
d - Variable in class jline.api.pfqn.Pfqn_sdr.Coeff: Coefficients d_tb.
d - Variable in class jline.api.retrieval.Retrieval_fpi_latency.Result
d - Variable in class jline.io.Ret.pfqnLeFpi
d - Variable in class jline.io.Ret.pfqnLeFpiZ
d - Variable in class jline.lang.NodeParam: SQ(d): d, the number of sampled destinations, per job class (mirrors the MATLAB nodeparam.d field).
d - Variable in class jline.lang.StateDepRouting: Coefficients d_tb of eq.
D - Variable in class jline.api.qsys.QsysTandemUbResult: Coefficient D of the test function gamma, fixed by Lemma 4.
D - Variable in class jline.io.Ret.snGetDemands
D - Variable in class jline.io.Ret.snGetProductFormParams
D - Variable in class jline.solvers.fluid.moments.FluidMomentTerms: Jump matrix (nstate x nevents).
D - Variable in class jline.solvers.fluid.petri.PetriTerms
D - Variable in class jline.util.PopulationLattice.sprodResult
D(int) - Method in class jline.lang.processes.DMAP
D(int) - Method in class jline.lang.processes.MAP
D(int) - Method in class jline.lang.processes.Marked
D(int) - Method in class jline.lang.processes.Markovian: Gets the i-th matrix of the Markovian arrival process representation.
D(int) - Method in class jline.lang.processes.MMPP2
D(int, int) - Method in class jline.lang.processes.Marked
D0 - Variable in class jline.api.mdd.MddServiceLaw: Phase transitions without a completion.
D0 - Variable in class jline.api.sn.SnMapModulation.MapModulation: Hidden-phase generator part D0.
D0 - Variable in class jline.api.spn.Spn_mdd.SpnMode
D0 - Variable in class jline.lang.state.CtmcPool: D0 of block k of class r.
D0 - Variable in class jline.lib.butools.fitting.MAPFitResult
D0 - Variable in class jline.solvers.fluid.petri.PetriMode
d1 - Variable in class jline.solvers.fluid.petri.PetriMode: Row sums of D1, i.e.
D1 - Variable in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
D1 - Variable in class jline.api.mdd.MddServiceLaw: Phase transitions with a completion, D1 = t0*pie for a renewal law.
D1 - Variable in class jline.api.sn.SnMapModulation.MapModulation: Per-class D1 blocks, aligned with SnMapModulation.MapModulation.classes.
D1 - Variable in class jline.api.spn.Spn_mdd.SpnMode
D1 - Variable in class jline.lib.butools.fitting.MAPFitResult
D1 - Variable in class jline.solvers.fluid.petri.PetriMode
d2eta - Variable in class jline.api.mc.Ctmc_saddlepoint.PerronState
d2eta - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: eta''(theta*).
d2m - Variable in class jline.io.Ret.pfqnSensLinearizer
d2m - Variable in class jline.io.Ret.pfqnSensMom
da - Variable in class jline.solvers.SolverOptions.Config: CTMC decomposition/aggregation method for Env solver.
DA - Variable in class jline.api.pfqn.nc.Pfqn_comom.GenMatrixResult
da_cacheqn_retrieval(NetworkStruct, Da_cacheqn_retrieval.NetSolve, SolverOptions) - Static method in class jline.api.da.Da_cacheqn_retrieval
Da_cacheqn_retrieval - Class in jline.api.da: Decomposition-aggregation driver for a CLOSED integrated cache-queueing model whose Cache node has a delayed-hit retrieval system (Cache.setRetrievalSystem).
Da_cacheqn_retrieval() - Constructor for class jline.api.da.Da_cacheqn_retrieval
Da_cacheqn_retrieval.NetSolve - Interface in jline.api.da: Network solver used for the aggregation step (mvald / ncld).
Da_cacheqn_retrieval.Result - Class in jline.api.da
Da_fpi - Class in jline.api.da: Generic damped successive-substitution driver for decomposition-aggregation (DA) fixed-point iterations.
Da_fpi.Norm<T> - Interface in jline.api.da: Convergence measure between the updated iterate and the baseline.
Da_fpi.Options<T> - Class in jline.api.da: Driver options.
Da_fpi.Result<T> - Class in jline.api.da: Final iterate, sweeps executed, and convergence flag.
Da_fpi.Sweep<T> - Interface in jline.api.da: One DA sweep from iterate x at sweep count it.
Da_fpi.SweepResult<T> - Class in jline.api.da: Pair returned by a sweep: updated iterate and comparison baseline.
da_iter - Variable in class jline.solvers.SolverOptions.Config: Number of iterations for iterative decomposition/aggregation methods (kms, takahashi).
da_traffic_superpos(Matrix, Matrix) - Static method in class jline.api.da.Da_traffic_superpos
Da_traffic_superpos - Class in jline.api.da: Asymptotic-method superposition of independent flows with given rates and squared coefficients of variation: returns the rate-weighted SCV mixture of the merged flow (Whitt's QNA stationary-interval formula).
Da0 - Variable in class jline.solvers.ag.handlers.RcatComponent
Da1 - Variable in class jline.solvers.ag.handlers.RcatComponent
dae_maxcov - Variable in class jline.solvers.SolverOptions.Config: Fluid 'dae' transient: largest covariance dimension integrated ALONGSIDE the mean.
dae_maxstate - Variable in class jline.solvers.SolverOptions.Config: Fluid 'dae': largest phase-resolved state the SIMULTANEOUS closure solve is attempted on.
DaeAnalyzer - Class in jline.solvers.fluid.analyzers: Differential-algebraic formulation of the min-normal closure, backing options.method='dae'.
DaeAnalyzer() - Constructor for class jline.solvers.fluid.analyzers.DaeAnalyzer
daeBlocked - Variable in class jline.solvers.fluid.FluidResult: Total blocked mass; station queues sum to N minus this.
daeCapacityActive - Variable in class jline.solvers.fluid.FluidResult: Which capacity constraints bound at the reported point.
daeCapacityB - Variable in class jline.solvers.fluid.FluidResult: Right-hand side of each capacity constraint.
daeCapacityLabel - Variable in class jline.solvers.fluid.FluidResult: Human-readable origin of each finite capacity constraint.
daeCapacityRegion - Variable in class jline.solvers.fluid.FluidResult: Which region each cap came from, -1 for a station buffer.
daeCapacityStaged - Variable in class jline.solvers.fluid.FluidResult: True where a cap stages the blocked job rather than holding or losing it.
daeCapacityStation - Variable in class jline.solvers.fluid.FluidResult: Which station each cap came from, -1 for a region cap.
daeCapacitySwitches - Variable in class jline.solvers.fluid.FluidResult: Every time the trajectory made a cap start or stop binding, as {t, row, kind} with kind 0 = release, 1 = activate, 2 = a crossing the cap could not hold.
daeCapacityValue - Variable in class jline.solvers.fluid.FluidResult: Value each constrained quantity actually took at the fixed point.
daeConservation - Variable in class jline.solvers.fluid.FluidResult: Largest violation of the population-conservation rows at the reported point.
daeConverged - Variable in class jline.solvers.fluid.FluidResult: Whether that residual reached options.tol.
daeDrain - Variable in class jline.solvers.fluid.FluidResult: Rate each waiting queue drains at, one per binding cap.
daemonAvailable() - Static method in class jline.io.DockerImage: True if the Docker daemon is reachable (unix only).
daeResidual - Variable in class jline.solvers.fluid.FluidResult
daeStaging - Variable in class jline.solvers.fluid.FluidResult: Mass held OUTSIDE a capped region, per staging coordinate.
daeStagingClass - Variable in class jline.solvers.fluid.FluidResult: Class each staging coordinate carries.
daeStagingRegion - Variable in class jline.solvers.fluid.FluidResult: Region each staging coordinate belongs to.
dag - Variable in class jline.lang.layered.LayeredNetworkStruct
DANIELS - Static variable in class jline.api.mc.Ctmc_saddlepoint: First-order saddlepoint with the Perron amplitude, error O(1/K2).
DANIELS2 - Static variable in class jline.api.mc.Ctmc_saddlepoint: Second-order saddlepoint, error O(1/K2^2).
data - Variable in class jline.inference.lang.SampledMetric
data - Variable in class jline.lang.processes.EmpiricalCDF
data - Variable in class jline.opt.results.SensitivityData
Dchain - Variable in class jline.io.Ret.snGetDemands
dcn - Variable in class jline.solvers.fluid.moments.FluidClosures.ShareResult
dE - Variable in class jline.io.Ret.pfqnSensLdmxEc
deadline - Variable in class jline.lang.JobClass
deaggInfo - Variable in class jline.api.fes.FESResult: Deaggregation information.
DeaggInfo() - Constructor for class jline.lang.ModelAdapter.DeaggInfo
DEBUG - Enum constant in enum jline.VerboseLevel: Verbose debugging output with detailed trace information
dEC - Variable in class jline.io.Ret.pfqnSensLdmxEc
decayRate - Variable in class jline.api.qsys.QsysBmapM1Result: Geometric decay rate of the level probabilities, measured as the limiting ratio pi_(n+1)/pi_n.
DecisionVariable - Class in jline.opt.variables: Abstract base for line-opt decision variables.
DecisionVariable(String) - Constructor for class jline.opt.variables.DecisionVariable
declaredAllMethods() - Method in class jline.solvers.NetworkSolver: Every method this solver IMPLEMENTS, from its own listAllMethods(), or null when it publishes no such list.
declaredAllMethods(Object) - Static method in class jline.solvers.NetworkSolver: The listAllMethods() lookup for any solver instance, the model-INDEPENDENT counterpart of NetworkSolver.declaredValidMethods(Object), so that SolverAUTO can build its method name universe without repeating the String[] versus List<String> normalisation.
declaredValidMethods() - Method in class jline.solvers.NetworkSolver: This solver's own listValidMethods(), as a list, or null when it declares none.
declaredValidMethods(Object) - Static method in class jline.solvers.NetworkSolver: The same lookup for any solver instance, so that SolverAUTO can build the union over its candidates without repeating the String[] versus List<String> normalisation (it used to cast every candidate's answer to String[], which throws for the List-returning half).
decode(double[]) - Method in class jline.opt.variables.ActivityThinkTime
decode(double[]) - Method in class jline.opt.variables.ClassPriority
decode(double[]) - Method in class jline.opt.variables.ClassServiceMapping
decode(double[]) - Method in class jline.opt.variables.DecisionVariable: Decode the encoded slice (length DecisionVariable.getDimension()) to a value.
decode(double[]) - Method in class jline.opt.variables.HostDemand
decode(double[]) - Method in class jline.opt.variables.JobPopulation
decode(double[]) - Method in class jline.opt.variables.ProcessorMultiplicity
decode(double[]) - Method in class jline.opt.variables.RoutingProbabilities
decode(double[]) - Method in class jline.opt.variables.ServerAllocation
decode(double[]) - Method in class jline.opt.variables.ServiceRate
decode(double[]) - Method in class jline.opt.variables.StationReplicas
decode(double[]) - Method in class jline.opt.variables.TaskMultiplicity
decode(double[]) - Method in class jline.opt.variables.TaskReplication
decode(double[]) - Method in class jline.opt.variables.TaskThinkTime
decodeJacobian(double[]) - Method in class jline.opt.variables.HostDemand: d(decoded demand)/d(encoded x): constant slope of the linear map.
decodeJacobian(double[]) - Method in class jline.opt.variables.ServiceRate: d(decoded rate)/d(encoded x): constant slope of the linear map.
decodeVariables(double[]) - Method in class jline.opt.LineEvaluator: Decode the full vector to a name -> decoded-value map.
decompose() - Method in class jline.opt.OptimizationProblem: Create a decomposition workflow for this problem.
decomposition() - Static method in class jline.examples.opt.LineOptExamples: Two-variable problem via DecompositionWorkflow (Gauss-Seidel).
DecompositionWorkflow - Class in jline.opt.decomposition: Decomposes a joint optimization problem into per-variable-type subproblems solved via Gauss-Seidel cycling with fixed-value propagation.
DecompositionWorkflow(OptimizationProblem) - Constructor for class jline.opt.decomposition.DecompositionWorkflow
decorate(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix
DECREMENTING - Enum constant in enum jline.lang.constant.PollingType
deepcopy(ArrayList<T>) - Static method in class jline.lib.lti.cme
deepCopy() - Method in class jline.solvers.LayeredSolverResult: Creates a deep copy of this layered solver result.
deepCopy() - Method in class jline.solvers.SolverResult: Creates a deep copy of this SolverResult instance.
deepCopyNetwork(Network) - Method in class jline.solvers.uq.SolverUQ: Deep copies a Network using serialization.
DEF_MAXCANCEL - Static variable in class jline.api.pfqn.nc.Pfqn_rgfmc: Default nats of cancellation tolerated before refusing.
DEF_MAXTERMS - Static variable in class jline.api.pfqn.nc.Pfqn_rgfmc: Default cap on residue terms carried between eliminations.
DEF_TOL - Static variable in class jline.api.pfqn.nc.Pfqn_rgfmc: Default relative tolerance for calling two affine forms proportional.
DEFAULT_B - Static variable in class jline.api.mam.HyperexpFitLongtail: The within-scale spacing b of the fitting pairs.
DEFAULT_CI_MIN_BATCH - Static variable in class jline.solvers.ldes.LDESOptions: Default minimum batch size for CI computation
DEFAULT_CI_MIN_OBS - Static variable in class jline.solvers.ldes.LDESOptions: Default minimum observations required for CI computation
DEFAULT_CNVG_BATCH - Static variable in class jline.solvers.ldes.LDESOptions: Default minimum number of batches before checking convergence
DEFAULT_CNVG_TOL - Static variable in class jline.solvers.ldes.LDESOptions: Default convergence tolerance (5% relative precision)
DEFAULT_DECADE - Static variable in class jline.api.mam.HyperexpFitLongtail: The ratio between successive fitting arguments.
DEFAULT_IMAGES - Static variable in class jline.solvers.wrappers.jmt.JmtBackend: Docker images tried, in order, when none is named by the options.
DEFAULT_K - Static variable in class jline.api.qsys.Qsys_gig1_bnds_extremal: Truncation of the negative binomial value.
DEFAULT_MAX_BLOCK_SIZE - Static variable in class jline.api.qsys.Qsys_bmapphnn_retrial: Default cap on the per-level block size V*d.
DEFAULT_MAX_DIM - Static variable in class jline.api.qsys.Qsys_bmapphnn_retrial: Default cap on the total generator dimension explored by the adaptive refinement.
DEFAULT_MAX_FN_EVALS - Static variable in class jline.lib.lti.iltcme: The evaluation budget used when a caller does not name one.
DEFAULT_MAX_ITER - Static variable in class jline.api.qsys.Qsys_bmapm1: Default maximum functional iterations for G.
DEFAULT_MAX_LIVE_STATES - Static variable in class jline.api.lossn.Lossn_manjunath: Cap on the product of (C_j+1) over the simultaneously live links, i.e.
DEFAULT_MAX_QUEUE - Static variable in class jline.api.qsys.Qsys_mgisrgi_whitt: Truncation level used when the waiting room is infinite.
DEFAULT_MAX_STAGES - Static variable in class jline.io.MAPQN2RENV: Default cap on the number of environment stages.
DEFAULT_MAXPATHS - Static variable in class jline.api.lqn.LqnRefRoutes: Default route cap, config.interlock_maxpaths.
DEFAULT_MAXVARS - Static variable in class jline.api.sn.SnToQrfBlocking: Variable-count ceiling of the derived LP.
DEFAULT_MSER_BATCH - Static variable in class jline.solvers.ldes.LDESOptions: Default MSER batch size (MSER-5 standard)
DEFAULT_N - Static variable in class jline.api.qsys.Qsys_gig1_bnds_extremal: Truncation of the random-walk length.
DEFAULT_NMAX - Static variable in class jline.api.qsys.Qsys_mapg1k: Default cap on the uniformization order.
DEFAULT_NUM_LEVELS - Static variable in class jline.api.mam.Qbd_rap: Default number of levels reported when the caller does not choose one.
DEFAULT_OBM_OVERLAP - Static variable in class jline.solvers.ldes.LDESOptions: Default OBM overlap fraction (50% overlap)
DEFAULT_PANELS - Static variable in class jline.api.qsys.Qsys_mtginf: Simpson panels for the age integral.
DEFAULT_POINTS - Static variable in class jline.solvers.fluid.moments.MvnRectangle: Lattice points per antithetic pair.
DEFAULT_POOL_TIMEOUT_SEC - Static variable in class jline.solvers.ldes.analyzers.Solver_ldes_analyzer_parallel: Pool wall-clock bound, in seconds, when neither timeout nor maxTime is set.
DEFAULT_REPLICATIONS - Static variable in class jline.solvers.ldes.LDESOptions: Default number of replications (1 = single run, backward compatible)
DEFAULT_REPLICATIONS - Static variable in class jline.solvers.wrappers.jmt.SolverJMT: The transient ensemble size when options.config.replications is unset.
DEFAULT_SAFETY_FRACTION - Static variable in class jline.solvers.ctmc.MemoryGuard: Default fraction of available memory the solver may target.
DEFAULT_SAMPLES - Static variable in class jline.solvers.ldes.LDESOptions: Default number of service completion events for LDES solver (200,000)
DEFAULT_SLOT_LENGTH - Static variable in class jline.solvers.ldes.LDESOptions: Default slot length used when slotted mode is enabled without an explicit length.
DEFAULT_SPECTRAL_LOW_FREQ_FRAC - Static variable in class jline.solvers.ldes.LDESOptions: Default fraction of lowest frequencies used for spectral regression
DEFAULT_TAIL_TOLERANCE - Static variable in class jline.api.qsys.Qsys_bmapm1: Default relative truncation target for the level distribution.
DEFAULT_TAIL_TOLERANCE - Static variable in class jline.api.qsys.Qsys_bmapphnn_retrial: Default relative orbit-truncation error target.
DEFAULT_TIMEOUT_SECONDS - Static variable in class jline.api.sym.SageRestEngine: Default per-request timeout, in seconds.
DEFAULT_TOL - Static variable in class jline.api.pfqn.nc.Pfqn_cyclet_ofree: Default separation below which two path rates count as coincident.
DEFAULT_TOL - Static variable in class jline.api.pfqn.Pfqn_busyp: Default relative tolerance of the open-network tail truncation.
DEFAULT_TOL - Static variable in class jline.api.qsys.Qsys_ggisgi_fluid: Bisection tolerance for the queue boundary w.
DEFAULT_TOL - Static variable in class jline.api.qsys.Qsys_mapg1k: Default uniformization truncation tolerance.
DEFAULT_TOL - Static variable in class jline.api.qsys.Qsys_mgisrgi_whitt: Relative tail tolerance for that truncation.
DEFAULT_TOL - Static variable in class jline.api.qsys.Qsys_mtginf: Service-tail cut for the age integral.
DEFAULT_TOL - Static variable in class jline.unified.UnifiedTestRunner
DEFAULT_TOLERANCE - Static variable in class jline.api.qsys.Qsys_bmapm1: Default convergence tolerance for G.
DEFAULT_TRAN_OBS - Static variable in class jline.solvers.ldes.LDESOptions: Default number of transient observation points (see LDESOptions.tranobs).
DEFAULT_WARMUP_FRAC - Static variable in class jline.solvers.ldes.LDESOptions: Default warmup fraction when using fixed method
DEFAULT_WEIGHT - Static variable in class jline.api.sim.Sim_sts_quantile_areas: Constant STS weight function that normalizes the Brownian bridge area.
defaultBatchCounts(int) - Static method in class jline.api.sim.Sim_firquest: Article default batch counts per replication, as a function of the replication count.
defaultCycleRates() - Static method in class jline.examples.java.discrete.DiscreteModel: Service probabilities used by the cycle examples.
defaultOptions() - Static method in class jline.examples.java.advanced.SolverCustom: The options this solver starts from.
defaultOptions() - Static method in class jline.inference.api.VariationalOptions
defaultOptions() - Static method in class jline.inference.lang.EstimatorOptions
defaultOptions() - Static method in class jline.inference.lang.ParamEstimator
defaultOptions() - Static method in class jline.solvers.ag.SolverAG
defaultOptions() - Static method in class jline.solvers.ba.SolverBA
defaultOptions() - Static method in class jline.solvers.ctmc.SolverCTMC
defaultOptions() - Static method in class jline.solvers.EnsembleSolver
defaultOptions() - Static method in class jline.solvers.env.SolverENV
defaultOptions() - Static method in class jline.solvers.fluid.SolverFluid: Returns the default solver options for the Fluid solver.
defaultOptions() - Static method in class jline.solvers.ldes.SolverLDES: Returns the default solver options for the LDES solver.
defaultOptions() - Static method in class jline.solvers.ln.SolverLN
defaultOptions() - Static method in class jline.solvers.mam.SolverMAM
defaultOptions() - Static method in class jline.solvers.mva.SolverMVA: Returns the default solver options for the MVA solver.
defaultOptions() - Static method in class jline.solvers.nc.SolverNC
defaultOptions() - Static method in class jline.solvers.Solver: Returns a new SolverOptions instance with default settings.
defaultOptions() - Static method in class jline.solvers.ssa.SolverSSA: Returns the default solver options for the SSA solver.
defaultOptions() - Static method in class jline.solvers.uq.SolverUQ: Returns default solver options.
defaultOptions() - Static method in class jline.solvers.wrappers.jmt.SolverJMT
defaultOptions() - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: Returns the default solver options for the LQNS solver.
defaults() - Static method in class jline.api.fes.FESOptions: Create default options.
DefaultSolverFactory() - Constructor for class jline.bench.lqn.BenchLQN_Default.DefaultSolverFactory
deferPrint(String, Object...) - Static method in class jline.io.LineConsole: Queue a legacy line for after the run closes.
deficiency - Variable in class jline.api.spn.Spn_pf.SpnPfResult
degenerate - Variable in class jline.api.lqn.LqnBalanceEquations.Relation: The relation cannot serve as a residual: infinite multiplicity, empty term set, or a zero call count.
delay - Variable in class jline.api.fj.FJ_parallel.FJSerializationResult
delay - Variable in class jline.io.Ret.pfqnManjunath
Delay - Class in jline.lang.nodes: An infinite server station, i.e.
Delay - Enum constant in enum jline.lang.constant.NodeType: Delay station - infinite servers with no queueing
Delay(Network, String) - Constructor for class jline.lang.nodes.Delay: Creates a new delay station with infinite servers.
DELAY - Enum constant in enum jline.io.ModelVisualizer.NodeType
delayedhitprob - Variable in class jline.solvers.CacheResultRecord: Actual delayed-hit probability per read class [1 x classes], or null.
delayedhitqlenclass - Variable in class jline.lang.nodeparam.CacheNodeParam: Mean number of secondary requests merged onto the in-flight fetches, split by the originating (reading) job class [1 x classes].
delayedhitrate - Variable in class jline.lang.nodeparam.CacheNodeParam: Exact delayed-hit completion rate per originating job class [1 x (classes+1)]; column `classes` holds the total fetch-completion rate, which equals the total miss rate.
delayedHitRate(NetworkStruct, int, int, Matrix, Matrix, Matrix) - Static method in class jline.solvers.ctmc.SolverCTMC: Exact delayed-hit rate per originating class, as a transition reward.
DelayedHitsExamples - Class in jline.examples.java.basic: Runnable examples for cache models with a retrieval system that exhibit delayed hits: while an item is being fetched by the retrieval system after a miss, subsequent requests for the same item neither hit nor miss outright but are delayed until the in-flight retrieval completes.
DelayedHitsExamples() - Constructor for class jline.examples.java.basic.DelayedHitsExamples
delayedprob - Variable in class jline.api.da.Da_cacheqn_retrieval.Result
delayofftime - Variable in class jline.lang.layered.LayeredNetworkStruct: Deprecated.
delayoffTime - Variable in class jline.lang.nodeparam.QueueNodeParam: Delay-off (teardown) time distributions by job class.
delayOffTime - Variable in class jline.lang.layered.Task
delayofftime_mean - Variable in class jline.lang.layered.LayeredNetworkStruct
delayofftime_params - Variable in class jline.lang.layered.LayeredNetworkStruct
delayofftime_proc - Variable in class jline.lang.layered.LayeredNetworkStruct
delayofftime_scv - Variable in class jline.lang.layered.LayeredNetworkStruct
delayofftime_type - Variable in class jline.lang.layered.LayeredNetworkStruct
delayOffTimeMean - Variable in class jline.lang.layered.Task
delayOffTimes - Variable in class jline.lang.nodes.Queue: Per-class delay-off time distributions (idle time before power-off).
delayOffTimeSCV - Variable in class jline.lang.layered.Task
delayRate - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
delta - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Morrison's constants of eqs.
delta - Variable in class jline.inference.api.VariationalOptions: rate added to every feasible transition by the space expansion.
delta(double) - Static method in class jline.api.qsys.Qsys_gig1_bnds_extremal: The D/M/1 root of eq.
den - Variable in class jline.api.sym.SymEngine.CTMCMeasures: Common denominator of the whole vector
den - Variable in class jline.api.sym.SymEngine.CTMCSolution: Common denominator of the whole vector
den - Variable in class jline.api.sym.SymEngine.Measure: Denominator of SymEngine.Measure.expr, null when undefined
den - Variable in class jline.api.sym.SymEngine.RatioSpec: Index of the denominator measure
dense(int, int) - Static method in class jline.util.matrix.Matrix: Creates a zeroed matrix backed by DENSE storage.
denseLUSolver - Variable in class jline.solvers.ctmc.SolverCTMC.StochCompResult
DenseMatrix - Class in jline.util.matrix: Base class for dense matrix implementations, containing the core data structure and methods that directly manipulate the underlying dense matrix representation.
DenseMatrix() - Constructor for class jline.util.matrix.DenseMatrix: Protected constructor for delayed initialization.
DenseMatrix(int, int) - Constructor for class jline.util.matrix.DenseMatrix: Constructs a dense matrix with specified dimensions.
DenseMatrix(int, int, int) - Constructor for class jline.util.matrix.DenseMatrix: Constructs a dense matrix with specified dimensions.
DenseMatrix(DenseMatrix) - Constructor for class jline.util.matrix.DenseMatrix: Copy constructor for creating a new dense matrix from an existing one.
DenseMatrix(DMatrix) - Constructor for class jline.util.matrix.DenseMatrix: Constructs a dense matrix by copying an existing DMatrix.
DenseMatrix(DMatrixRMaj) - Constructor for class jline.util.matrix.DenseMatrix: Constructs a dense matrix by copying an existing EJML dense matrix.
DENSIFY_THRESHOLD - Static variable in class jline.util.matrix.Matrix: Fill ratio above which autoFormat() densifies a sparse-backed result.
density - Variable in class jline.solvers.ctmc.SolverCTMC.FirstPassageResult
density(UnivariateFunction) - Static method in class jline.api.qsys.QsysServiceLaw: Arbitrary density on (0, inf).
density(UnivariateFunction, double) - Static method in class jline.api.qsys.QsysServiceLaw: Arbitrary density supported on (0, tmax].
DENSITY - Enum constant in enum jline.api.qsys.QsysServiceLaw.Kind: Arbitrary density on (0, inf), or on (0, tmax] when tmax is given.
dep - Variable in class jline.api.mam.Mg1_dt_queue.Result
dep - Variable in class jline.api.spn.Spn_mdd.SpnMode: Marking-dependent firing-rate multiplier; null for the unit one.
dep - Variable in class jline.solvers.fluid.petri.PetriMode: Marking-dependent firing multiplier, null when the mode declares none.
dep - Variable in class jline.solvers.fluid.petri.PetriSystem.Theta
DEP - Enum constant in enum jline.lang.constant.EventType
departure - Variable in class jline.api.qsys.QsysTandemPathResult: Departure epochs of each customer from each station.
departure - Variable in class jline.lang.StateDepRouting: Departure center d of Q(V,V); may equal StateDepRouting.entry.
departureDiscipline - Variable in class jline.lang.nodes.Place: Per-class departure discipline of the depository.
DepartureDiscipline - Enum in jline.lang.constant: Departure disciplines for the depository of a queueing place (QPN semantics).
departureNode - Variable in class jline.lang.StateDepRouting: Departure node as declared.
departureOf - Variable in class jline.lang.StateDepRouting: departureOf[b] is the departure center d(b) of branch b.
departureRate - Variable in class jline.api.qsys.QsysMtginfResult: delta(t) = E[lambda(t-S)], the rate of the (Poisson) departure process.
depClass - Variable in class jline.lang.state.AfterEventStation.PasSwap
depRates - Variable in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.SolverSSAResultNRMSpace
depRates - Variable in class jline.solvers.ssa.SSAValues
dEprime - Variable in class jline.io.Ret.pfqnSensLdmxEc
depslot - Variable in class jline.solvers.fluid.petri.PetriSystem.Theta
depth(SolverOptions) - Static method in class jline.solvers.tr.TransformMethod: The nesting depth carried in options.config.transform_depth.
depval - Variable in class jline.solvers.fluid.petri.PetriSystem.Theta
deriv - Variable in class jline.solvers.fluid.moments.FluidClosures.ValueDeriv
deriv2 - Variable in class jline.solvers.fluid.moments.FluidClosures.ValueDeriv
desc - Variable in class jline.api.spn.Spn_mdd.SpnResult
desc - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult: The Kronecker descriptor that was built.
descriptor - Variable in class jline.api.spn.Spn_mdd.SpnInfo: Whether the Kronecker descriptor was built.
descriptor - Variable in class jline.api.spn.Spn_mdd.SpnOptions: Build the Kronecker rate descriptor (default true).
design - Variable in class jline.solvers.uq.SolverUQ: The DESIGN: which alternatives are solved and with what weight.
Design(List<Distribution>, double[]) - Constructor for class jline.lang.processes.Prior.Design
dest - Variable in class jline.lang.sections.Forker.ForkOverride
destination - Variable in class jline.lang.Graph.Edge
destNode - Variable in class jline.lang.nodes.Cache.RetrievalRoutingEntry
dests - Variable in class jline.lang.layered.Activity.CallGroup
det - Variable in class jline.api.qsys.QsysServiceLaw: Deterministic service time d.
det() - Method in class jline.util.matrix.ComplexMatrix: Computes the determinant of this complex matrix using LU decomposition.
det() - Method in class jline.util.matrix.Matrix: Computes the determinant of the matrix.
Det - Class in jline.lang.processes: A Deterministic distribution taking a single constant value.
Det(double) - Constructor for class jline.lang.processes.Det: Creates a deterministic distribution with the specified constant value.
DET - Class in jline.lib.kpctoolbox.smp: Deterministic (Semi-Markov) Process functions.
DET - Enum constant in enum jline.io.WfCommonsOptions.DistributionType: Deterministic (fixed) service time
DET - Enum constant in enum jline.lang.constant.ProcessType
det_acf(MatrixCell, int[]) - Static method in class jline.lib.kpctoolbox.smp.DET
det_embedded(MatrixCell) - Static method in class jline.lib.kpctoolbox.smp.DET
det_moment(MatrixCell, int[]) - Static method in class jline.lib.kpctoolbox.smp.DET
det_sample(MatrixCell, int) - Static method in class jline.lib.kpctoolbox.smp.DET
det_sample(MatrixCell, int, Integer) - Static method in class jline.lib.kpctoolbox.smp.DET
det_scv(MatrixCell) - Static method in class jline.lib.kpctoolbox.smp.DET
det_sum(MatrixCell, MatrixCell) - Static method in class jline.lib.kpctoolbox.smp.DET
DET.Triple<A,B,C> - Class in jline.lib.kpctoolbox.smp
deta - Variable in class jline.api.mc.Ctmc_saddlepoint.PerronState
deta - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: eta'(theta*), equal to k/t at convergence.
detail(String) - Static method in class jline.io.LineConsole: Report a solver's own debug message as a substep.
DetailedLayeredNetworkAvgTable(List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
detectBranches(Matrix, List<Integer>, List<Integer>) - Static method in class jline.api.wf.Wf_branch_detector
detectedPatterns - Variable in class jline.api.wf.Wf_analyzer.WorkflowAnalysis
DetectedPatterns(List<List<Integer>>, List<List<Integer>>, List<Integer>, List<Wf_branch_detector.BranchPattern>) - Constructor for class jline.api.wf.Wf_analyzer.DetectedPatterns
detectLoops(Matrix, List<Integer>, List<Integer>) - Static method in class jline.api.wf.Wf_loop_detector
detectLoops(Matrix, List<Integer>, List<Integer>, List<Integer>) - Static method in class jline.api.wf.Wf_loop_detector
detectNhppSchedule(NetworkStruct) - Static method in class jline.solvers.fluid.FluidNhpp: Builds the NHPP schedule entries for every EXT/source station carrying a non-homogeneous arrival process.
detectParallel(Matrix, List<Integer>, List<Integer>, List<Integer>) - Static method in class jline.api.wf.Wf_parallel_detector: Detect parallel patterns in a workflow network.
detectPrior() - Method in class jline.solvers.uq.SolverUQ: Detects Prior distributions in the model.
detectSequences(Matrix, List<Integer>) - Static method in class jline.api.wf.Wf_sequence_detector: Detect sequence patterns in a workflow network.
determinant() - Method in class jline.util.matrix.BaseMatrix
determinant() - Method in class jline.util.matrix.DenseMatrix
determinant() - Method in class jline.util.matrix.SparseMatrix
determinantStatic(DMatrix) - Static method in class jline.util.matrix.DenseMatrix
determinantStatic(DMatrix) - Static method in class jline.util.matrix.SparseMatrix
deterministic() - Static method in class jline.io.WfCommonsOptions: Create options with deterministic service times.
deterministic(double) - Static method in class jline.api.qsys.QsysServiceLaw: Constant service time d.
DETERMINISTIC - Enum constant in enum jline.api.qsys.QsysServiceLaw.Kind: Constant service time.
Dfilt - Variable in class jline.solvers.ctmc.handlers.Solver_ctmc_fcr_waitq.Result
dfx - Variable in class jline.util.ode.Rodas.Options
diag(double...) - Static method in class jline.util.matrix.Matrix: Creates a square diagonal matrix from the given values.
diagArray(Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Diagonal of M as a double array.
diagFrom(double[]) - Static method in class jline.lib.butools.mam.FluidTools: Diagonal matrix from a double array.
diagFrom(Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Diagonal matrix from a row/column vector.
diagMatrix(double[]) - Static method in class jline.util.matrix.Matrix: Creates a square diagonal matrix from a given array of values.
diagMatrix(Matrix) - Static method in class jline.util.matrix.Matrix: Creates a square diagonal matrix from the elements of a column or row vector matrix.
diagMatrix(Matrix, double[], int, int) - Static method in class jline.util.matrix.Matrix: Creates or fills a square diagonal matrix with the specified values.
diagStatic(double[]) - Static method in class jline.util.matrix.SparseMatrix
diagWithMatrixStatic(DMatrixSparseCSC, double[], int, int) - Static method in class jline.util.matrix.SparseMatrix
diagWithRetStatic(DMatrixSparseCSC, double[], int, int) - Static method in class jline.util.matrix.SparseMatrix
diff(List<String>, String, int) - Method in class jline.api.sym.SageRestEngine
diff(List<String>, String, int) - Method in interface jline.api.sym.SymEngine: Differentiates expressions.
DifferentialEvolution - Class in jline.opt.solver.de: Self-contained port of scipy's differential_evolution that reproduces its trajectory bit-for-bit for a given integer seed, using NumpyRandomState for all draws.
DifferentialEvolution(DifferentialEvolution.Objective, double[], double[], String, int, int, double, double, double, double, long) - Constructor for class jline.opt.solver.de.DifferentialEvolution
DifferentialEvolution.Callback - Interface in jline.opt.solver.de: Per-generation callback; return true to stop early.
DifferentialEvolution.Objective - Interface in jline.opt.solver.de: Objective returning the (penalized) energy; may be +inf.
DifferentialEvolution.Result - Class in jline.opt.solver.de
DiffusionAnalyzer - Class in jline.solvers.fluid.analyzers: Diffusion approximation for closed multiclass BCMP networks.
DiffusionAnalyzer() - Constructor for class jline.solvers.fluid.analyzers.DiffusionAnalyzer
dim - Variable in class jline.api.mdd.MddLocalMatrix: Order of the (square) local matrix, i.e.
dimension - Variable in class jline.opt.variables.DecisionVariable
dimensionReduction(double[][]) - Method in class jline.lib.rmf.CacheRMF: Compute dimension reduction matrices for the singular Jacobian.
DimensionReduction(double[][], double[][], int) - Constructor for class jline.lib.rmf.CacheRMF.DimensionReduction
dimred - Variable in class jline.api.pfqn.nc.Pfqn_clw.Options: Apply dimension reduction by decomposition (Section 3).
dimredMaxD - Variable in class jline.api.pfqn.nc.Pfqn_clw.Options: Largest |D| examined when minimizing (3.3).
dims - Variable in class jline.io.Ret.pfqnQlenMoments
DirectedGraph - Class in jline.util.graph: A directed graph data structure with weighted edges represented as an adjacency matrix.
DirectedGraph(Matrix) - Constructor for class jline.util.graph.DirectedGraph: Constructs a directed graph with the given adjacency matrix (no column filtering).
DirectedGraph(Matrix, Set<Integer>) - Constructor for class jline.util.graph.DirectedGraph: Constructs a directed graph with the given adjacency matrix and column filter.
DirectedGraph.SCCAuxResult - Class in jline.util.graph
DirectedGraph.SCCResult - Class in jline.util.graph
Disabled - Class in jline.lang.processes: A special distribution to denote disabled service or arrival.
Disabled() - Constructor for class jline.lang.processes.Disabled
DISABLED - Enum constant in enum jline.lang.constant.JobClassType: Disabled class - inactive job class not processed by the system
DISABLED - Enum constant in enum jline.lang.constant.ProcessType
DISABLED - Enum constant in enum jline.lang.constant.RoutingStrategy: Disabled routing - no routing allowed (jobs are dropped)
DisabledClass - Class in jline.lang: Class of jobs that perpetually loop at a given station
DisabledClass(Network, String, Station) - Constructor for class jline.lang.DisabledClass: Creates a new disabled job class that perpetually loops at the reference station.
DiscreteDistribution - Class in jline.lang.processes: An abstract class for discrete distributions.
DiscreteDistribution(String, int, Pair<Double, Double>) - Constructor for class jline.lang.processes.DiscreteDistribution
DiscreteExamples - Class in jline.examples.java.discrete: Discrete-time (slotted) examples, one per feature of the discrete-time normalizing-constant route.
DiscreteExamples() - Constructor for class jline.examples.java.discrete.DiscreteExamples
DiscreteModel - Class in jline.examples.java.discrete: Discrete-time (slotted) model builders.
DiscreteModel() - Constructor for class jline.examples.java.discrete.DiscreteModel
DiscreteSampler - Class in jline.lang.processes: A class for discrete distributions specified from the probability mass function
DiscreteSampler(double[], double[]) - Constructor for class jline.lang.processes.DiscreteSampler: Constructs a discrete distribution from a finite probability vector p at the points specified in vector x, given as plain arrays.
DiscreteSampler(Matrix) - Constructor for class jline.lang.processes.DiscreteSampler
DiscreteSampler(Matrix, Matrix) - Constructor for class jline.lang.processes.DiscreteSampler: Constructs a discrete distribution from a finite probability vector p at the points specified in vector x
DISCRETESAMPLER - Enum constant in enum jline.lang.constant.ProcessType
DiscreteUniform - Class in jline.lang.processes: A discrete distribution that samples uniformly among a set of elements.
DiscreteUniform(double, double) - Constructor for class jline.lang.processes.DiscreteUniform
DiscreteUniformGen(RandomStream, double, double) - Constructor for class jline.solvers.ldes.handlers.Solver_ssj.DiscreteUniformGen
discretize(int, String, Random) - Method in class jline.lang.processes.Prior: Reduce the prior to n weighted alternatives.
dispatch_mixed() - Static method in class jline.examples.java.basic.ClusterExamples: `dispatch_mixed.m`: a mixed cluster built through the Cluster builder.
Dispatcher - Class in jline.lang.sections: Output section that routes jobs to nodes
Dispatcher(List<JobClass>) - Constructor for class jline.lang.sections.Dispatcher
display() - Method in class jline.io.tikz.SequenceDiagramExporter: Displays the sequence diagram in a PDF viewer.
display() - Method in class jline.io.tikz.TikZExporter: Displays the network diagram.
displayPDF(File) - Static method in class jline.io.tikz.TikZViewer: Displays a PDF file using an external viewer.
displayPDF(File, String) - Static method in class jline.io.tikz.TikZViewer: Displays a PDF file using an external viewer.
dist - Variable in class jline.lang.sections.Forker.ForkOverride
distinctInts(int[]) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
distribC - Variable in class jline.solvers.fluid.FluidResult: Distribution matrices for response time and passage time CDFs [stations][classes]
distribRuntime - Variable in class jline.solvers.fluid.FluidResult: Runtime required for distribution computation
Distribution - Class in jline.lang.processes: An abstract class of a general distribution
Distribution(String, int, Pair<Double, Double>) - Constructor for class jline.lang.processes.Distribution: Creates a new distribution with the specified characteristics.
DistributionResult() - Constructor for class jline.io.Ret.DistributionResult: Default constructor.
DistributionResult(int, int, String) - Constructor for class jline.io.Ret.DistributionResult: Constructor for steady-state distributions.
DistributionResult(int, int, String, Matrix) - Constructor for class jline.io.Ret.DistributionResult: Constructor for transient distributions.
distributions - Variable in class jline.lang.nodes.Transition
distributions - Variable in class jline.lang.processes.Prior: Cell array of alternative distributions
DistributionScaling - Class in jline.lang.processes: Rate-scaled copies of a distribution, preserving its shape.
distributionType - Variable in class jline.io.Ret.DistributionResult: Type of distribution (e.g., "response_time", "passage_time").
dists - Variable in class jline.lang.processes.Prior.Design: The concrete distribution of each design point.
div(Matrix) - Method in class jline.util.matrix.Matrix: Performs element-wise division between this matrix and the provided matrix.
divEq(Matrix) - Method in class jline.util.matrix.Matrix: Performs in-place element-wise division between this matrix and the provided matrix.
divide(double, Matrix, boolean) - Method in class jline.util.matrix.Matrix: Divides this matrix by a scalar and stores the result in the output matrix.
divide(SymExpr) - Method in class jline.util.symbolic.SymExpr
divideEq(double) - Method in class jline.util.matrix.Matrix: Performs in-place division of this matrix by a scalar.
divideInPlace(double) - Method in class jline.util.matrix.BaseMatrix
divideInPlace(double) - Method in class jline.util.matrix.DenseMatrix
divideInPlace(double) - Method in class jline.util.matrix.SparseMatrix
divideInPlaceStatic(DMatrix, double) - Static method in class jline.util.matrix.SparseMatrix
divideMatrix(double, DMatrix) - Method in class jline.util.matrix.BaseMatrix
divideMatrix(double, DMatrix) - Method in class jline.util.matrix.DenseMatrix
divideMatrix(double, DMatrix) - Method in class jline.util.matrix.SparseMatrix
divideMatrixStatic(DMatrix, double, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
divideRows(double[], int) - Method in class jline.util.matrix.Matrix: Divides each row of this matrix by the corresponding diagonal element (with an offset).
divideRowsByArray(double[], int) - Method in class jline.util.matrix.BaseMatrix
divideRowsByArray(double[], int) - Method in class jline.util.matrix.DenseMatrix
divideRowsByArray(double[], int) - Method in class jline.util.matrix.SparseMatrix
divideRowsByArrayStatic(double[], int, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
divideScalarByMatrix(double, DMatrix) - Method in class jline.util.matrix.BaseMatrix
divideScalarByMatrix(double, DMatrix) - Method in class jline.util.matrix.DenseMatrix
divideScalarByMatrix(double, DMatrix) - Method in class jline.util.matrix.SparseMatrix
divideScalarByMatrixStatic(double, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
dlyap(Matrix, Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Solves the discrete Sylvester equation A * X * B - X + C = 0.
dlyRates - Variable in class jline.solvers.ssa.SSAValues: Rate of the cache merge transitions, i.e.
dm - Variable in class jline.io.Ret.pfqnSensLinearizer
dm - Variable in class jline.io.Ret.pfqnSensMom
DMAP - Class in jline.lang.processes: A Discrete Markovian Arrival Process (DMAP).
DMAP - Enum constant in enum jline.lang.constant.ProcessType
DMAP() - Constructor for class jline.lang.processes.DMAP
DMAP(MatrixCell) - Constructor for class jline.lang.processes.DMAP
DMAP(Matrix, Matrix) - Constructor for class jline.lang.processes.DMAP
Dmap_batch - Class in jline.api.mam: Discrete-time batch arrival streams: event rate, superposition, Bernoulli splitting and order reduction.
dmap_compress(MatrixCell, int) - Static method in class jline.api.mam.Dmap_batch: Order reduction of a DMAP by matching three interevent moments through BuTools DPH2From3Moments, leaving it untouched while it stays within maxOrder.
dmap_compress_batch(MatrixCell, int) - Static method in class jline.api.mam.Dmap_batch: Order reduction of a batch stream.
dmap_dist(Matrix, Matrix, Matrix, Matrix, int) - Static method in class jline.api.mam.Dmap_dist: Computes the squared L2 distance between lag-L joint PMFs of two D-MAPs.
dmap_dist(Matrix, Matrix, Matrix, Matrix, int, Matrix, Matrix) - Static method in class jline.api.mam.Dmap_dist
Dmap_dist - Class in jline.api.mam
dmap_dist_acf(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Dmap_dist: Computes the squared L2 distance between autocorrelation functions of two D-MAPs.
dmap_dist_acf(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Dmap_dist
dmap_geo_mul_sum(Matrix, Matrix, Matrix, Matrix, int, Matrix, Matrix) - Static method in class jline.api.mam.Dmap_dist: Computes the joint PMF inner product of two D-MAPs via recursive discrete Lyapunov equations.
dmap_geo_mul_sum_acf(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Dmap_dist: Computes the geometric sum for the discrete autocorrelation distance of two D-MAPs.
dmap_is_renewal(Matrix, Matrix) - Static method in class jline.api.mam.Dph_to_dmap: True when the DMAP renews at every event, i.e.
dmap_lambda(MatrixCell) - Static method in class jline.api.mam.Dmap_batch: Mean number of EVENTS per slot, pi * sum_k k*A_k * e.
dmap_moment(MatrixCell, int) - Static method in class jline.api.mam.Dmap_moment
dmap_moment(Matrix, Matrix, int) - Static method in class jline.api.mam.Dmap_moment: Computes the k-th raw moment of the inter-arrival time of a discrete MAP.
Dmap_moment - Class in jline.api.mam
dmap_pie(MatrixCell) - Static method in class jline.api.mam.Dmap_pie
dmap_pie(Matrix, Matrix) - Static method in class jline.api.mam.Dmap_pie: Computes the stationary vector at arrival epochs of a discrete-time MAP.
Dmap_pie - Class in jline.api.mam
dmap_sample(MatrixCell, long, Random) - Static method in class jline.api.mam.Dmap_sample
dmap_sample(Matrix, Matrix, int, Random) - Static method in class jline.api.mam.Dmap_sample: Generates samples of inter-arrival times from a discrete-time MAP.
Dmap_sample - Class in jline.api.mam
dmap_super(MatrixCell, MatrixCell) - Static method in class jline.api.mam.Dmap_batch: Superposition, E_k = sum_{i+j=k} kron(A_i, B_j).
dmap_thin(MatrixCell, double) - Static method in class jline.api.mam.Dmap_batch: Bernoulli thinning, B_k = sum_{n>=k} C(n,k) p^k (1-p)^(n-k) A_n.
dmap_to_dph_alpha(Matrix, Matrix) - Static method in class jline.api.mam.Dph_to_dmap: Discrete phase-type law underlying a renewal DMAP: alpha is the normalized pivot row of D1 and A is D0.
dmap2FromMoments(double[], double) - Static method in class jline.lib.butools.dmap.DMAP2FromMoments: Returns a discrete MAP(2) which has the same 3 marginal moments and lag-1 autocorrelation as given.
DMAP2FromMoments - Class in jline.lib.butools.dmap
dmapFromDRAP(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.DMAPFromDRAP
dmapFromDRAP(Matrix, Matrix, double) - Static method in class jline.lib.butools.dmap.DMAPFromDRAP: Obtains a Markovian representation of a discrete rational arrival process of the same size, if possible.
DMAPFromDRAP - Class in jline.lib.butools.dmap
DmcResult - Class in jline.api.qsys: Result of D/M/c queue analysis.
DmcResult(double, double, double, double, double) - Constructor for class jline.api.qsys.DmcResult
dmG - Variable in class jline.io.Ret.pfqnSensMom
dmmapFromDMRAP(Matrix[]) - Static method in class jline.lib.butools.dmap.DMMAPFromDMRAP
dmmapFromDMRAP(Matrix[], double) - Static method in class jline.lib.butools.dmap.DMMAPFromDMRAP
dmmapFromDMRAP(MatrixCell) - Static method in class jline.lib.butools.dmap.DMMAPFromDMRAP
dmmapFromDMRAP(MatrixCell, double) - Static method in class jline.lib.butools.dmap.DMMAPFromDMRAP: Obtains a Markovian representation of a discrete rational arrival process of the same size, if possible.
DMMAPFromDMRAP - Class in jline.lib.butools.dmap
dmrapFromMoments(double[], Matrix[]) - Static method in class jline.lib.butools.dmap.DMRAPFromMoments
dmrapFromMoments(double[], MatrixCell) - Static method in class jline.lib.butools.dmap.DMRAPFromMoments: Creates a discrete marked rational arrival process that has the same marginal and lag-1 joint moments as given.
DMRAPFromMoments - Class in jline.lib.butools.dmap
DOCKER_IMAGE - Static variable in class jline.api.sym.SymEngines: Image serving the symbolic REST API.
DOCKER_IMAGE_CANDIDATES - Static variable in class jline.api.sym.SymEngines: Fallback tags, tried in order after SymEngines.DOCKER_IMAGE.
DockerImage - Class in jline.io: Docker primitives shared by the backends that legitimately ship an image: the JMT backend (imperialqore/jmt-rest) and the Sage symbolic engine (imperialqore/line-sage-rest).
document() - Static method in class jline.io.LineResultRecorder: Everything recorded so far, as the wire document.
DocumentSectionPair - Class in jline.io
DocumentSectionPair(Document, Element) - Constructor for class jline.io.DocumentSectionPair
domain - Variable in class jline.api.mdd.MDD: domain[k] is the number of local states at level k.
domain - Variable in class jline.api.mdd.MddDescriptor: Local domain per level.
domain - Variable in class jline.api.mdd.MddStruct: domain[k] is the number of local states at level k.
dominantRoot(Complex) - Method in class jline.api.qsys.QsysMg1PsResult: Dominant singularity tau*(s), the right half plane root of tau = s + lambda*(1-bhat(tau)).
done - Variable in class jline.lang.state.CtmcMapc: Completion rate D1(i,j)/V(i,j) of each pair.
dotProduct(Matrix) - Method in class jline.util.matrix.RowView: Computes the dot product of this row with a column vector.
doubleArrayToString(double[]) - Static method in class jline.util.Utils: Convert double array to string representation
downService - Variable in class jline.lang.Environment.NodeFailure: Service distribution of the node while it is down.
downServiceRates - Variable in class jline.lang.NetworkStruct: (nstations x nclasses) service rate while the server is down (0 = no service).
DOWNSTREAM - Enum constant in enum jline.api.npfqn.Npfqn_sqd.NeighborMode
dp - Static variable in class jline.lib.lti.customromberg
dpfqn_nc(double[], int) - Static method in class jline.api.dpfqn.Dpfqn_nc
Dpfqn_nc - Class in jline.api.dpfqn: Buzen-style recursions for the discrete-time closed cycle of Bernoulli servers with state independent service probabilities.
dpfqn_ncld(double[][], int) - Static method in class jline.api.dpfqn.Dpfqn_ncld
Dpfqn_ncld - Class in jline.api.dpfqn: Convolution over the discrete-time product form of a closed cycle of state dependent Bernoulli servers.
DpfqnNcLdResult - Class in jline.api.dpfqn: Normalizing constants of a discrete-time closed cycle of state dependent Bernoulli servers.
DpfqnNcLdResult(double, double[], double[][], double[][], double[][]) - Constructor for class jline.api.dpfqn.DpfqnNcLdResult
DpfqnNcResult - Class in jline.api.dpfqn: Normalizing constants of a discrete-time closed cycle of Bernoulli servers with state independent service probabilities.
DpfqnNcResult(double, double, double[]) - Constructor for class jline.api.dpfqn.DpfqnNcResult
dph_from_dist(ProcessType, double, double) - Static method in class jline.api.mam.Dph_from_dist
Dph_from_dist - Class in jline.api.mam: Exact discrete phase-type representation of a lattice-valued law.
dph_to_dmap(Matrix, Matrix) - Static method in class jline.api.mam.Dph_to_dmap: Builds the renewal DMAP {A, a*alpha} of the DPH (alpha, A).
Dph_to_dmap - Class in jline.api.mam: Renewal DMAP of a discrete phase-type law, and its inverse.
dph2From3Moments(double[]) - Static method in class jline.lib.butools.dph.DPH2From3Moments: Returns an order-2 discrete phase-type distribution which has the same 3 moments as given.
DPH2From3Moments - Class in jline.lib.butools.dph
DPH2Representation(Matrix, Matrix) - Constructor for class jline.lib.butools.dph.CanonicalFromDPH2.DPH2Representation
dph3From5Moments(double[]) - Static method in class jline.lib.butools.dph.DPH3From5Moments
dph3From5Moments(double[], double) - Static method in class jline.lib.butools.dph.DPH3From5Moments: Returns an order-3 discrete phase-type distribution which has the same 5 moments as given.
DPH3From5Moments - Class in jline.lib.butools.dph
DPH3Representation(Matrix, Matrix) - Constructor for class jline.lib.butools.dph.CanonicalFromDPH3.DPH3Representation
dphFromMG(double[], Matrix) - Static method in class jline.lib.butools.dph.DPHFromMG
dphFromMG(double[], Matrix, double) - Static method in class jline.lib.butools.dph.DPHFromMG: Overload for double[] alpha.
dphFromMG(Matrix, Matrix) - Static method in class jline.lib.butools.dph.DPHFromMG
dphFromMG(Matrix, Matrix, double) - Static method in class jline.lib.butools.dph.DPHFromMG: Obtains a Markovian representation of a matrix-geometric distribution of the same size, if possible.
DPHFromMG - Class in jline.lib.butools.dph
dpi - Variable in class jline.api.mc.Ctmc_transient_sens.Result: length(t) x n, its derivative with respect to theta.
dpi - Variable in class jline.api.sym.SymEngine.Sensitivity: Derivative of the stationary distribution with respect to theta
dpi - Variable in class jline.solvers.ctmc.SolverCTMC.sensitivityResult: Derivative of the distribution with respect to theta, 1 by n
Dprev - Variable in class jline.api.pfqn.Pfqn_sdr.Coeff: D_{t-1,t} = sum over A_t of d_{t-1,b}, eq.
DPS - Enum constant in enum jline.lang.constant.SchedStrategy: Discriminatory Processor Sharing - jobs receive weighted shares based on class
DPSPRIO - Enum constant in enum jline.lang.constant.SchedStrategy: Discriminatory PS with Priorities - DPS within priority levels
dpsw - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
dQ - Variable in class jline.api.pfqn.mva.Pfqn_momlin.MomlinResult
dQ - Variable in class jline.io.Ret.pfqnSens
dqsys_bernoulli1(double[], double[], int) - Static method in class jline.api.dqsys.Dqsys_bernoulli1: Finite buffer, state dependent probabilities.
dqsys_bernoulli1(double, double) - Static method in class jline.api.dqsys.Dqsys_bernoulli1: Unbounded buffer with constant arrival and service probabilities.
Dqsys_bernoulli1 - Class in jline.api.dqsys: Exact analysis of a state dependent Bernoulli server on a discrete time scale.
dqsys_geogeo1(double, double) - Static method in class jline.api.dqsys.Dqsys_geogeo1: Analyzes a Geo/Geo/1 queue under the late-arrival-delayed-access convention, which is the one realized by a slotted LDES simulation of a Geometric(a) source feeding a Geometric(s) FCFS queue.
dqsys_geogeo1(double, double, GeoGeo1Convention) - Static method in class jline.api.dqsys.Dqsys_geogeo1: Analyzes a Geo/Geo/1 queue under the requested slot-boundary convention.
Dqsys_geogeo1 - Class in jline.api.dqsys: Geo/Geo/1 discrete-time queueing system analysis.
dqsys_geoxgeo1(double, double, double) - Static method in class jline.api.dqsys.Dqsys_geoxgeo1: Analyzes a Geo^X/Geo/1 queue with geometrically distributed batch sizes under the LAS-DA convention.
dqsys_geoxgeo1(double, double, double, GeoGeo1Convention) - Static method in class jline.api.dqsys.Dqsys_geoxgeo1: Analyzes a Geo^X/Geo/1 queue with geometrically distributed batch sizes.
Dqsys_geoxgeo1 - Class in jline.api.dqsys: Geo^X/Geo/1 discrete-time queueing system analysis.
dqsys_geoxgeo1_moments(double, double, double, double, GeoGeo1Convention) - Static method in class jline.api.dqsys.Dqsys_geoxgeo1: Analyzes a Geo^X/Geo/1 queue for an arbitrary batch-size law, specified by its first two factorial moments.
dR - Variable in class jline.io.Ret.pfqnSens
drain - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Rate each waiting queue drains at, one per binding cap.
drapFromMoments(double[], Matrix) - Static method in class jline.lib.butools.dmap.DRAPFromMoments: Creates a discrete rational arrival process that has the same marginal and lag-1 joint moments as given.
DRAPFromMoments - Class in jline.lib.butools.dmap
drift - Variable in class jline.api.qsys.QsysBmapM1Result: alpha*(sum_k k*Bk[k])*e - alpha*A0*e; the queue is stable iff this is negative.
drift(double[]) - Method in class jline.lib.rmf.CacheFIFORMF: Mean-field drift F(x) for FIFO(m).
drift(double[]) - Method in class jline.lib.rmf.CacheRMF: Compute the mean field drift F(x).
drift(double[]) - Method in class jline.lib.rmf.CacheSFIFORMF: Mean-field drift F(x) for strict FIFO(m).
drift(double[], double[], Matrix[]) - Method in class jline.solvers.fluid.moments.FluidMomentTerms: Fluid drift F(x) = D*r(x).
driftGraph(double[]) - Method in class jline.lib.rmf.CachePosGraphRMF
driftGraph(double[]) - Method in class jline.lib.rmf.CacheRMF: General RANDOM(m) mean-field drift honouring the per-item access graph CacheRMF.itemGraph.
driftKinkStation(double[], double[]) - Method in class jline.solvers.fluid.moments.FluidMomentTerms: First station sitting on the saturation kink of the first-order rate factor, or -1 when none does.
driftKinkStation(double[], double[]) - Method in class jline.solvers.fluid.moments.FluidRateFactors: First station whose population sits ON the saturation kink n_i = c_i of the first-order rate factor, or -1 when none does.
driftKinkStations(double[], double[]) - Method in class jline.solvers.fluid.moments.FluidRateFactors: Every station sitting on the saturation kink, empty when none does.
driftTrajectory(double, int, double[]) - Method in class jline.lib.rmf.CacheFIFORMF: Integrate the drift over a finite window on a uniform time grid from a supplied (or default) initial occupancy.
driftTrajectory(double, int, double[]) - Method in class jline.lib.rmf.CachePosGraphRMF: Integrate the general drift over a finite window on a uniform time grid.
driftTrajectory(double, int, double[]) - Method in class jline.lib.rmf.CacheRMF: Integrate the plain mean-field drift over a finite window on a uniform time grid, from a supplied initial occupancy.
driftTrajectory(double, int, double[]) - Method in class jline.lib.rmf.CacheSFIFORMF: Integrate the drift over a finite window on a uniform time grid from a supplied (or default) initial occupancy.
Drop - Enum constant in enum jline.lang.constant.DropStrategy
droppedMass - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: Probability removed by the occupancy threshold.
DropRate - Enum constant in enum jline.lang.constant.MetricType
DropRateJoin - Variable in class jline.solvers.SolverResult: Fork-Join sibling-drop rate [stations x classes]: at a quorum/PARTIAL Join, the rate of forked siblings discarded because they arrive after the quorum already fired.
DropRateNfcr - Variable in class jline.solvers.SolverResult: FCR mean drop rate: the rate of jobs refused entry to the region and dropped (DROP rule), per [regions x classes].
droprule - Variable in class jline.lang.NetworkStruct
dropRule - Variable in class jline.lang.nodes.Station
dropRule - Variable in class jline.lang.Region
dropStrategy - Variable in class jline.lang.nodes.Node
dropStrategy - Variable in class jline.lang.sections.CacheClassSwitcher.InputJobClassesObj
DropStrategy - Enum in jline.lang.constant: Constants for specifying drop strategies at stations when capacity is exceeded.
drpSolve(Matrix) - Static method in class jline.lib.butools.mc.CRPSolve: Computes the stationary solution of a discrete time rational process (DRP).
ds - Variable in class jline.solvers.fluid.moments.FluidClosures.ShareResult
Ds0 - Variable in class jline.solvers.ag.handlers.RcatComponent
Ds1 - Variable in class jline.solvers.ag.handlers.RcatComponent
dslot - Variable in class jline.solvers.fluid.petri.PetriSystem.Theta
Dsum - Variable in class jline.solvers.mam.handlers.Mam_svc_mixture.Result: sum_k D_arr(k+1), the aggregate arrival matrix.
Dsvc - Variable in class jline.solvers.ag.handlers.RcatComponent
dt - Variable in class jline.inference.api.VariationalOptions
dt_bernoulli_loaddep(double, double, int, int) - Static method in class jline.examples.java.discrete.DiscreteModel: Load-dependent Bernoulli server, p(n) = s min(n,c), the discrete-time multiserver approximation of example 2.10.
dt_cycle(double[], int) - Static method in class jline.examples.java.discrete.DiscreteModel: Closed cycle of Bernoulli servers (corollary 3.4).
dt_cycle_loaddep(double[], int, int, int) - Static method in class jline.examples.java.discrete.DiscreteModel: Closed cycle whose station ldStation runs at p(n) = p min(n,ldServers) (theorem 3.2).
dt_cycle_multiclass(double[], int[]) - Static method in class jline.examples.java.discrete.DiscreteModel: Multichain closed cycle (section 3.2).
dt_geogeo1(double, double) - Static method in class jline.examples.java.discrete.DiscreteModel: Geo/Geo/1 with an unbounded buffer (theorem 2.3, corollary 2.7).
dt_geogeo1_loss(double, double, int) - Static method in class jline.examples.java.discrete.DiscreteModel: Geo/Geo/1/L loss system (corollary 2.8).
DTMC - Class in jline.lib.kpctoolbox.mc: Discrete-Time Markov Chain (DTMC) analysis functions.
dtmc_hitting_time(Matrix, int[]) - Static method in class jline.api.mc.Dtmc_hitting_time: Mean number of steps to reach any target state from each state of a DTMC.
Dtmc_hitting_time - Class in jline.api.mc
dtmc_isfeasible(Matrix) - Static method in class jline.api.mc.Dtmc_isfeasible: Check if a matrix represents a feasible DTMC transition matrix
dtmc_isfeasible(Matrix) - Static method in class jline.lib.kpctoolbox.mc.DTMC
Dtmc_isfeasible - Class in jline.api.mc
dtmc_makestochastic(Matrix) - Static method in class jline.api.mc.Dtmc_makestochastic: Normalize a given non-negative matrix into a DTMC.
dtmc_makestochastic(Matrix) - Static method in class jline.lib.kpctoolbox.mc.DTMC
Dtmc_makestochastic - Class in jline.api.mc
dtmc_rand(int) - Static method in class jline.api.mc.Dtmc_rand: Form a random infinitesimal generator of a DTMC
dtmc_rand(int) - Static method in class jline.lib.kpctoolbox.mc.DTMC
Dtmc_rand - Class in jline.api.mc: DTMC random transition matrix generation.
dtmc_simulate(Matrix, double[], int) - Static method in class jline.lib.kpctoolbox.mc.DTMC
dtmc_simulate(Matrix, Matrix, int) - Static method in class jline.api.mc.Dtmc_simulate: Simulate a discrete-time Markov chain trajectory.
Dtmc_simulate - Class in jline.api.mc
dtmc_solve(Matrix) - Static method in class jline.api.mc.Dtmc_solve: Returns the steady-state solution of a DTMC.
dtmc_solve(Matrix) - Static method in class jline.lib.kpctoolbox.mc.DTMC
Dtmc_solve - Class in jline.api.mc
dtmc_solve_reducible(Matrix) - Static method in class jline.api.mc.Dtmc_solve_reducible
dtmc_solve_reducible(Matrix, Matrix) - Static method in class jline.api.mc.Dtmc_solve_reducible
dtmc_solve_reducible(Matrix, Matrix, Map<String, Object>) - Static method in class jline.api.mc.Dtmc_solve_reducible: Estimate limiting distribution for a DTMC that may have reducible components.
Dtmc_solve_reducible - Class in jline.api.mc
dtmc_solve_reducible_full(Matrix) - Static method in class jline.api.mc.Dtmc_solve_reducible
dtmc_solve_reducible_full(Matrix, Matrix) - Static method in class jline.api.mc.Dtmc_solve_reducible
dtmc_solve_reducible_full(Matrix, Matrix, Map<String, Object>) - Static method in class jline.api.mc.Dtmc_solve_reducible: Full version that returns all computed values.
Dtmc_solve_reducible.DtmcSolveReducibleResult - Class in jline.api.mc: Result class for DTMC solve reducible.
dtmc_stmonotone(Matrix) - Static method in class jline.api.mc.Ctmc_stmonotone: Implementation of the dtmc_stmonotone algorithm.
dtmc_stochcomp(Matrix) - Static method in class jline.lib.kpctoolbox.mc.DTMC
dtmc_stochcomp(Matrix, int[]) - Static method in class jline.lib.kpctoolbox.mc.DTMC
dtmc_stochcomp(Matrix, List<Integer>) - Static method in class jline.api.mc.Dtmc_stochcomp: Returns the stochastic complement of a DTMC.
Dtmc_stochcomp - Class in jline.api.mc
dtmc_stochcomp_full(Matrix, List<Integer>) - Static method in class jline.api.mc.Dtmc_stochcomp: Stochastic complement of a DTMC together with the four blocks of the transition matrix partitioned by the kept states and their complement.
Dtmc_stochcomp.DtmcStochCompResult - Class in jline.api.mc: Stochastic complement together with the blocks it was built from.
dtmc_timereverse(Matrix) - Static method in class jline.api.mc.Dtmc_timereverse: Compute the infinitesimal generator of the time-reversed DTMC.
dtmc_timereverse(Matrix) - Static method in class jline.lib.kpctoolbox.mc.DTMC
Dtmc_timereverse - Class in jline.api.mc
dtmc_transient(Matrix, Matrix, int) - Static method in class jline.api.mc.Dtmc_transient: Transient distribution of a DTMC, i.e.
Dtmc_transient - Class in jline.api.mc
dtmc_uniformization(double[], Matrix) - Static method in class jline.lib.kpctoolbox.mc.DTMC
dtmc_uniformization(double[], Matrix, double) - Static method in class jline.lib.kpctoolbox.mc.DTMC
dtmc_uniformization(double[], Matrix, double, double) - Static method in class jline.lib.kpctoolbox.mc.DTMC
dtmc_uniformization(double[], Matrix, double, double, int) - Static method in class jline.lib.kpctoolbox.mc.DTMC
dtmc_uniformization(Matrix, Matrix) - Static method in class jline.api.mc.Dtmc_uniformization
dtmc_uniformization(Matrix, Matrix, double) - Static method in class jline.api.mc.Dtmc_uniformization
dtmc_uniformization(Matrix, Matrix, double, double) - Static method in class jline.api.mc.Dtmc_uniformization
dtmc_uniformization(Matrix, Matrix, double, double, int) - Static method in class jline.api.mc.Dtmc_uniformization: Compute the transient probability distribution of a DTMC using uniformization.
Dtmc_uniformization - Class in jline.api.mc
Dtmc_uniformization.DtmcUniformizationResult - Class in jline.api.mc: Result class for DTMC uniformization analysis containing the probability vector and maximum iterations used.
dtmcSolve(Matrix) - Static method in class jline.lib.butools.mc.DTMCSolve
dtmcSolve(Matrix, double) - Static method in class jline.lib.butools.mc.DTMCSolve: Computes the stationary solution of a discrete time Markov chain.
DTMCSolve - Class in jline.lib.butools.mc
DtmcSolveReducibleResult(Matrix, List<Matrix>, Matrix, List<List<Integer>>, List<Boolean>, Matrix, Matrix) - Constructor for class jline.api.mc.Dtmc_solve_reducible.DtmcSolveReducibleResult
dtmcSteadyState(Matrix) - Static method in class jline.lib.kpctoolbox.MarkovChain
DtmcStochCompResult(Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.api.mc.Dtmc_stochcomp.DtmcStochCompResult
DtmcUniformizationResult(Matrix, int) - Constructor for class jline.api.mc.Dtmc_uniformization.DtmcUniformizationResult
DtModel() - Constructor for class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer.DtModel
DTQueueResult - Class in jline.lib.qmam: Result of a discrete-time (slotted) single-server queue analysis.
DTQueueResult(Matrix) - Constructor for class jline.lib.qmam.DTQueueResult
Dtt - Variable in class jline.api.pfqn.Pfqn_sdr.Coeff: D_tt = sum over A_t of d_tb, eq.
dU - Variable in class jline.io.Ret.pfqnSens
DummyMode - Static variable in class jline.GlobalConstants: Debug mode flag
dump() - Static method in class jline.io.LineResultRecorder: Write the JSON dump to the path LineResultRecorder.enable(java.lang.String) was given.
DUNIFORM - Enum constant in enum jline.lang.constant.ProcessType
duration - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
dval - Variable in class jline.solvers.fluid.petri.PetriSystem.Theta
dX - Variable in class jline.io.Ret.pfqnSens

E

e - Variable in class jline.api.infer.InferLqnResult
e(int) - Static method in class jline.lib.kpctoolbox.basic.BasicUtils: Creates a vector e(n) = [1, 1, ..., 1]^T used in matrix operations.
E - Variable in class jline.api.cache.Cache_spm_size.Result: Normalizing constant, same normalization as Cache_erec (may overflow; use logE).
E - Variable in class jline.api.fj.FJ_parallel.FJDagMakespanResult
E - Variable in class jline.api.retrieval.Retrieval_rayint.Result: Normalizing constant, same normalization as Cache_erec (may overflow; use logE).
E - Variable in class jline.io.Ret.cacheIs
E - Variable in class jline.io.Ret.cacheMVA
E - Variable in class jline.io.Ret.pfqnLDMXEC
E - Variable in class jline.io.Ret.pfqnSensLdmxEc
E - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.TraceData
e1 - Variable in class jline.api.fes.FesMapMomentsResult: Mean inter-departure time.
e11 - Variable in class jline.api.fes.FesMapMomentsResult: Joint moment of consecutive inter-departure times.
E1j - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.BcfitResult
e2 - Variable in class jline.api.fes.FesMapMomentsResult: Second moment of the inter-departure times.
e3 - Variable in class jline.api.fes.FesMapMomentsResult: Third moment of the inter-departure times.
E3j - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.BcfitResult
Ea - Variable in class jline.api.infer.InferLqnResult
EAS - Enum constant in enum jline.api.dqsys.GeoGeo1Convention: Early arrival system: the intermediate state, after the departure of the slot and before its arrival.
EB - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
EB2 - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
EC - Variable in class jline.io.Ret.pfqnLDMXEC
EC - Variable in class jline.io.Ret.pfqnSensLdmxEc
eColumn(int, int) - Method in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem: Column of an e entry, or -1 when the model pinned it to zero.
ED - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
ED2 - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
EDD - Enum constant in enum jline.lang.constant.SchedStrategy: Earliest Due Date - jobs with earliest deadline served first (non-preemptive)
EDF - Enum constant in enum jline.lang.constant.SchedStrategy: Earliest Deadline First - jobs with earliest deadline served first (preemptive)
Edge(String, String, String, double) - Constructor for class jline.lang.Graph.Edge
Edisp - Variable in class jline.api.fj.FJ_dispersion.FJDelayOptResult
Edisp - Variable in class jline.api.fj.FJ_dispersion.FJDispersionResult
eig() - Method in class jline.util.matrix.Matrix: Computes the eigenvalues of this square matrix, including complex eigenvalues.
Eigs(Matrix, Matrix) - Constructor for class jline.io.Ret.Eigs
eigval() - Method in class jline.util.matrix.Matrix: Computes the eigenvalues of this square matrix.
eigvec() - Method in class jline.util.matrix.Matrix: Computes the eigenvalues and eigenvectors of this square matrix.
eIndex(int, int, int, int, int, int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi
ekf(Function<Matrix, Matrix>, Matrix, Matrix, Matrix, Matrix, Matrix, InferLqnOptions) - Static method in class jline.api.infer.InferLqn: Extended Kalman Filter tracking a hidden parameter vector across Z.
Element - Class in jline.lang: Superclass for model elements
Element(String) - Constructor for class jline.lang.Element: Creates a new element with the specified name.
elementAdd(int[], int) - Static method in class jline.util.Maths: Helper method that adds an integer to every element of an integer array.
elementDiv(Matrix) - Method in class jline.util.matrix.Matrix: Performs element-wise division of this matrix by another matrix.
elementDivide(Matrix) - Method in class jline.util.matrix.Matrix: Performs element-wise division with another matrix.
ElementDocumentPair - Class in jline.io
ElementDocumentPair(Element, Document) - Constructor for class jline.io.ElementDocumentPair
elementIncrease(double) - Method in class jline.util.matrix.Matrix: Increases each element of the matrix by a constant value.
elementMax() - Method in class jline.util.matrix.BaseMatrix
elementMax() - Method in class jline.util.matrix.DenseMatrix
elementMax() - Method in class jline.util.matrix.Matrix: Returns the maximum value among all elements in the matrix.
elementMax() - Method in class jline.util.matrix.SparseMatrix
elementMaxAbs() - Method in class jline.util.matrix.BaseMatrix
elementMaxAbs() - Method in class jline.util.matrix.DenseMatrix
elementMaxAbs() - Method in class jline.util.matrix.Matrix: Returns the maximum absolute value among all elements in the matrix.
elementMaxAbs() - Method in class jline.util.matrix.SparseMatrix
elementMin() - Method in class jline.util.matrix.BaseMatrix
elementMin() - Method in class jline.util.matrix.DenseMatrix
elementMin() - Method in class jline.util.matrix.Matrix: Returns the minimum value among all elements in the matrix.
elementMin() - Method in class jline.util.matrix.SparseMatrix
elementMinNonZero(Matrix) - Static method in class jline.util.matrix.Matrix: Returns the smallest non-zero positive element in the given matrix.
elementMult() - Method in class jline.util.matrix.Matrix: Computes the product of the elements of a row or column vector.
elementMult(Matrix) - Method in class jline.util.matrix.Matrix: Performs element-wise multiplication with another matrix, as MATLAB's .*.
elementMult(Matrix, Matrix) - Method in class jline.util.matrix.Matrix: Performs element-wise multiplication with another matrix, storing the result in the given output matrix.
elementMult(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.BaseMatrix
elementMult(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.DenseMatrix
elementMult(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix
elementMultEq(Matrix) - Method in class jline.util.matrix.Matrix: Performs in-place element-wise multiplication with another matrix, overwriting this matrix with the product.
elementMultStatic(DMatrix, DMatrix, DMatrix) - Static method in class jline.util.matrix.DenseMatrix
elementMultStatic(DMatrix, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
elementMultWithVector(Matrix) - Method in class jline.util.matrix.Matrix: Performs element-wise multiplication between this matrix and a row vector.
elementPow(double) - Method in class jline.util.matrix.Matrix: Raises each non-zero element of the matrix to the specified power.
elementPower(double) - Method in class jline.util.matrix.Matrix: Raises each element of the matrix to the given power.
elementSum() - Method in class jline.util.matrix.BaseMatrix
elementSum() - Method in class jline.util.matrix.DenseMatrix
elementSum() - Method in class jline.util.matrix.Matrix: Computes the sum of all elements in the matrix.
elementSum() - Method in class jline.util.matrix.SparseMatrix
eliminateImmediate(Matrix, Matrix, Matrix, NetworkStruct, SolverOptions) - Static method in class jline.solvers.fluid.handlers.ImmediateElimination: Eliminate the instantaneous coordinates from the fluid event set.
EliminationResult(Matrix, Matrix, Matrix, int[], Matrix, Matrix) - Constructor for class jline.solvers.fluid.handlers.ImmediateElimination.EliminationResult
Emap - Variable in class jline.solvers.fluid.handlers.ImmediateElimination.EliminationResult: [nEventsReduced x nEventsOriginal] expected firings of each original event.
Emap - Variable in class jline.solvers.fluid.moments.FluidMomentTerms: [nEventsReduced x nEventsOriginal] expected firings of each original event per firing of each reduced one; the identity when no immediate coordinate was eliminated.
Emax - Variable in class jline.api.fj.FJ_dispersion.FJDelayOptResult
Emax - Variable in class jline.api.fj.FJ_dispersion.FJDispersionResult
embedded() - Method in class jline.lang.processes.Markovian: Property alias for getEmbedded
embeddedProb() - Method in class jline.lang.processes.Markovian: Property alias for getEmbeddedProb
embeddedSolve() - Method in class jline.lang.processes.MarkedMarkovProcess: Solve for embedded probabilities for all events
embeddedSolve(int[]) - Method in class jline.lang.processes.MarkedMarkovProcess: Solve for embedded probabilities for specified event set
Emin - Variable in class jline.api.fj.FJ_dispersion.FJDispersionResult
EmpiricalCDF - Class in jline.lang.processes: Empirical CDF for a distribution
EmpiricalCDF(double[], double[]) - Constructor for class jline.solvers.uq.SolverUQ.EmpiricalCDF
EmpiricalCDF(Matrix) - Constructor for class jline.lang.processes.EmpiricalCDF: Creates an EmpiricalCDF with the given data
EmpiricalCDF(Matrix, Matrix) - Constructor for class jline.lang.processes.EmpiricalCDF: Creates an EmpiricalCDF with separate CDF and value data
empiricalRelativeEntropy(double[], double[]) - Static method in class jline.lib.butools.fitting.RelativeEntropy: Returns the empirical relative entropy using trace data.
empiricalSquaredDifference(double[], double[]) - Static method in class jline.lib.butools.fitting.SquaredDifference: Returns the empirical squared difference using trace data.
emptyProb - Variable in class jline.api.dqsys.Bernoulli1Result: Probability of an empty system, pi(0).
En1 - Variable in class jline.lib.fjcodes.PiResult
enab - Variable in class jline.api.spn.Spn_lpbnd.SpnLpMode
enab - Variable in class jline.api.spn.Spn_mdd.SpnMode: Enabling multiplicity per place level.
enable(String) - Static method in class jline.io.LineResultRecorder: Turn recording on and direct the dump at file.
ENABLE - Enum constant in enum jline.lang.constant.EventType
enableChecks - Variable in class jline.solvers.Solver: Flag controlling whether to perform validation checks
enabled - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
enableFromEnv() - Static method in class jline.io.LineResultRecorder: Turn recording on when LINE_RECORD_RESULTS=1 asked for it.
enabling - Variable in class jline.lang.nodeparam.TransitionNodeParam
Enabling - Class in jline.lang.sections: A section that models enabling conditions in a stochastic Petri net transition
Enabling() - Constructor for class jline.lang.sections.Enabling
Enabling(String) - Constructor for class jline.lang.sections.Enabling
enablingConditions - Variable in class jline.lang.nodes.Transition
encoding - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult: Local-state encoding chosen, "np" or "ps".
endLevel - Variable in class jline.io.tikz.SequenceDiagramTraverser.Fragment
endpoint - Variable in class jline.streaming.StreamingOptions: Receiver endpoint (default: localhost:8080/metrics for HTTP, localhost:4317 for GRPC)
endpoint() - Method in class jline.solvers.ag.AgWorkerClient
endpoint(String) - Method in class jline.solvers.ag.AGOptions
endpoint(String) - Method in class jline.streaming.StreamingOptions: Set the OTLP receiver endpoint.
endpoints - Variable in class jline.solvers.ag.AGOptions: Worker addresses ("host:port") for AGOptions.EXEC_CLUSTER.
ensemble - Variable in class jline.lang.Ensemble
ensemble - Variable in class jline.solvers.EnsembleSolver
Ensemble - Class in jline.lang: A model defined by a collection of sub-models
Ensemble(String) - Constructor for class jline.lang.Ensemble: Creates a new ensemble with the specified name.
Ensemble(List<Network>) - Constructor for class jline.lang.Ensemble: Creates a new ensemble containing the specified network models.
ensembleAvg() - Method in class jline.solvers.EnsembleSolver
EnsembleSolver - Class in jline.solvers
EnsembleSolver(String) - Constructor for class jline.solvers.EnsembleSolver
EnsembleSolver(Ensemble, String) - Constructor for class jline.solvers.EnsembleSolver
EnsembleSolver(Ensemble, String, SolverOptions) - Constructor for class jline.solvers.EnsembleSolver
ensureDirectoryExists(String) - Static method in class jline.util.MatFileUtils: Ensures the directory exists for the given filename
ensureWorkspaceDirectoryExists() - Static method in class jline.util.MatFileUtils: Ensures the appropriate workspace directory exists
entries - Variable in class jline.api.lqn.LqnRefRoutes.Group: Every DAG entry, topologically ordered, root entries first.
entries - Variable in class jline.lang.layered.LayeredNetwork
entries - Variable in class jline.lang.layered.Task
entriesof - Variable in class jline.lang.layered.LayeredNetworkStruct
entry - Variable in class jline.lang.StateDepRouting: Entry center e of Q(V,V).
entry - Variable in class jline.solvers.ctmc.SolverCTMC.StochCompResult: First-entry matrix (-Q22)^-1 Q21: row i is where vanishing state i lands.
Entry - Class in jline.lang.layered: An Entry represents a service interface exposed by a Task in a layered queueing network.
Entry(LayeredNetwork, String) - Constructor for class jline.lang.layered.Entry
ENTRY - Enum constant in enum jline.io.ModelVisualizer.NodeType
ENTRY - Static variable in class jline.lang.layered.LayeredNetworkElement
entryIdx(int) - Method in class jline.lang.layered.LayeredNetworkStruct: Absolute index of entry e, e in 0..nentries-1.
entryNode - Variable in class jline.lang.StateDepRouting: Node objects as declared, kept so the structure can be re-resolved after a refresh.
entryOf - Variable in class jline.lang.StateDepRouting: entryOf[b] is the entry center e(b) of branch b.
entryOf(int) - Method in class jline.lang.layered.LayeredNetworkStruct: Entry-local index of an absolute index, or -1 if it is not an entry.
entryproc - Variable in class jline.solvers.ln.SolverLN
entryproc - Variable in class jline.solvers.ln.SolverLN.LNState
entryRespTimeSamples - Variable in class jline.solvers.ldes.LNLDESResult: Every per-request entry response time observed after warmup [1 x nentries], indexed by the entry's LOCAL index (0..nentries-1), null when the run kept none.
entryvisits - Variable in class jline.solvers.ln.SolverLN: Invocations of an entry per invocation of its task, filled by updateMetricsDefault (refpath hop stages).
entryWorkflow(LayeredNetwork, LayeredNetworkStruct, int, boolean) - Static method in class jline.api.lqn.LqnPh: Activity graph of LQN entry EIDX as a workflow.
EntryWorkflow() - Constructor for class jline.api.lqn.LqnPh.EntryWorkflow
enumerate() - Method in class jline.api.mdd.MDD: All stored states as rows, in index() order.
env - Variable in class jline.io.MAPQN2RENV.RenvImage: The random-environment model.
env - Variable in class jline.lang.Environment
Env - Class in jline.lang: Deprecated.
Use Environment instead.
Env() - Constructor for class jline.solvers.mam.handlers.Mam_bgchain_env.Env
Env(String, int) - Constructor for class jline.lang.Env: Deprecated.
ENV - Class in jline.solvers.env: ENV is an alias for SolverENV (Ensemble environment solver).
ENV - Enum constant in enum jline.lang.constant.SolverType
ENV(Environment, SolverFactory) - Constructor for class jline.solvers.env.ENV: Creates an ENV solver from a factory that produces an inner solver for each stage sub-model.
ENV(Environment, SolverFactory, SolverOptions) - Constructor for class jline.solvers.env.ENV: Creates an ENV solver from a per-stage solver factory, with options.
ENV(Environment, NetworkSolver[]) - Constructor for class jline.solvers.env.ENV
ENV(Environment, NetworkSolver[], SolverOptions) - Constructor for class jline.solvers.env.ENV
env_alpha - Variable in class jline.solvers.SolverOptions.Config: Alpha parameter for Env solver Courtois decomposition (default: 0.015) Controls the coupling threshold for environment state grouping
EnvBreakdownExample - Class in jline.examples.java.advanced: Example demonstrating the node breakdown/repair API for random environments.
EnvBreakdownExample() - Constructor for class jline.examples.java.advanced.EnvBreakdownExample
envelopes(NetworkStruct) - Static method in class jline.solvers.ba.analyzers.Solver_ba_snc_analyzer: Builds the per-pair (arrival, service) envelopes of a feed-forward model.
Envelopes() - Constructor for class jline.solvers.ba.analyzers.Solver_ba_snc_analyzer.Envelopes
EnvGeneratorResult(Matrix[], Matrix, MatrixCell[], Matrix[][], Map<Integer, Sync>[], List<RenvEvent>) - Constructor for class jline.solvers.env.SolverENV.EnvGeneratorResult
Environment - Class in jline.lang: An environment model defined by a collection of network sub-models coupled with an environment transition rule that selects the active sub-model.
Environment(String) - Constructor for class jline.lang.Environment
Environment(String, int) - Constructor for class jline.lang.Environment
Environment.NodeFailure - Class in jline.lang: Descriptor of a node breakdown/repair macro applied through addNodeBreakdown / addNodeRepair.
Environment.ResetEnvRatesFunction - Interface in jline.lang
Environment.ResetQueueLengthsFunction - Interface in jline.lang
Environment.ResetStateFunction - Interface in jline.lang: State-vector reset policy for the SolverENV state-vector analyzer (options.method='statevec').
EnvironmentTwins - Class in jline.examples.parity: Twins for the random-environment examples the JAR did not carry.
EnvOptions - Class in jline.solvers.env
EnvOptions() - Constructor for class jline.solvers.env.EnvOptions
Eprime - Variable in class jline.io.Ret.pfqnLDMXEC
Eprime - Variable in class jline.io.Ret.pfqnSensLdmxEc
eps - Variable in class jline.api.mc.Ctmc_multi.CtmcMultiResult
epsilon - Variable in class jline.inference.api.VariationalSpec: probability that a reading is faulty.
epsilon - Variable in class jline.inference.lang.EstimatorOptions: Probability that a queue-length reading is faulty ("vi").
epsilon - Variable in class jline.opt.pareto.ParetoPoint
epsMAX - Variable in class jline.api.mc.Ctmc_multi.CtmcMultiResult
eq - Variable in class jline.api.spn.Spn_rec_enabled.SpnEnabling: eq[k] is the mass of {e == k}, i.e.
eq(double) - Method in class jline.api.mapqn.Mapqn_lpmodel.LinearConstraintBuilder
EQ - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
EQbar - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
eqs - Variable in class jline.api.lqn.LqnBalanceEquations.Result
equalityMatrix() - Method in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem: Dense equality rows of the system, as Mapqn_nlp_solver takes them.
equalityRhs() - Method in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem
equals(Object) - Method in class jline.api.aoi.Aoi_dist2phResult
equals(Object) - Method in class jline.api.aoi.AoiLstResult
equals(Object) - Method in class jline.api.aoi.AoiMfqResult
equals(Object) - Method in class jline.api.aoi.AoiParams
equals(Object) - Method in class jline.api.aoi.AoiResult
equals(Object) - Method in class jline.api.aoi.AoiValidationResult
equals(Object) - Method in class jline.api.fes.FESDeaggInfo
equals(Object) - Method in class jline.api.fes.FESOptions
equals(Object) - Method in class jline.api.fes.FESResult
equals(Object) - Method in class jline.api.fj.CharMaxResult
equals(Object) - Method in class jline.api.fj.FJ_bounds.FJBoundsResult
equals(Object) - Method in class jline.api.fj.FJInfo
equals(Object) - Method in class jline.api.fj.GKBoundResult
equals(Object) - Method in class jline.api.mam.BmapSample
equals(Object) - Method in class jline.api.mam.Qbd_rg.QbdRgResult
equals(Object) - Method in class jline.api.mam.QbdMapMap1Result
equals(Object) - Method in class jline.api.mam.QbdRapRap1Result
equals(Object) - Method in class jline.api.mam.QbdRapResult
equals(Object) - Method in class jline.api.mc.Dtmc_uniformization.DtmcUniformizationResult
equals(Object) - Method in class jline.api.nc.MeGegecnResult
equals(Object) - Method in class jline.api.nc.MeOqnBlkResult
equals(Object) - Method in class jline.api.nc.MeOqnOptions
equals(Object) - Method in class jline.api.nc.MeOqnResult
equals(Object) - Method in class jline.api.pfqn.mva.Pfqn_sqni.PfqnSqniResult
equals(Object) - Method in class jline.api.pfqn.PfqnUniqueResult
equals(Object) - Method in class jline.api.qsys.DmcResult
equals(Object) - Method in class jline.api.qsys.MDcCrommelinResult
equals(Object) - Method in class jline.api.qsys.PhM1Result
equals(Object) - Method in class jline.api.qsys.PhMcResult
equals(Object) - Method in class jline.api.qsys.QsysMapDcResult
equals(Object) - Method in class jline.api.qsys.QsysMapPhResult
equals(Object) - Method in class jline.api.qsys.RetrialInfo
equals(Object) - Method in class jline.api.trace.CountStatistics
equals(Object) - Method in class jline.api.trace.SingleClassCountStats
equals(Object) - Method in class jline.inference.lang.ConditionEvent
equals(Object) - Method in class jline.io.ModelVisualizer.ModelEdge
equals(Object) - Method in class jline.io.ModelVisualizer.ModelVertex
equals(Object) - Method in class jline.io.Ret.FJAuxClassKey
equals(Object) - Method in class jline.io.Ret.pfqnGldIndex
equals(Object) - Method in class jline.lang.nodes.Cache.PopularityKey
equals(Object) - Method in class jline.lang.processes.DMAP
equals(Object) - Method in class jline.lang.processes.MAP: Checks if this MAP is equal to another object.
equals(Object) - Method in class jline.lang.processes.MMPP2: Checks if this MMPP2 is equal to another object.
equals(Object) - Method in class jline.lang.state.EventCacheKey
equals(Object) - Method in class jline.lib.butools.dph.CanonicalFromDPH2.DPH2Representation
equals(Object) - Method in class jline.lib.butools.dph.MGFromMoments.MGRepresentation
equals(Object) - Method in class jline.lib.butools.mam.GeneralFluidSolution
equals(Object) - Method in class jline.lib.butools.map.MAPRepresentation
equals(Object) - Method in class jline.lib.butools.ph.MERepresentation
equals(Object) - Method in class jline.lib.butools.ph.PH2From3Moments.PH2Representation
equals(Object) - Method in class jline.lib.butools.ph.PH3Representation
equals(Object) - Method in class jline.lib.butools.ph.PHRepresentation
equals(Object) - Method in class jline.lib.butools.queues.FluFluResult
equals(Object) - Method in class jline.lib.butools.reptrans.MarkovianRepresentation
equals(Object) - Method in class jline.lib.fjcodes.ComputeT.ComputeTResult
equals(Object) - Method in class jline.lib.fjcodes.FJArrival
equals(Object) - Method in class jline.lib.fjcodes.FJService
equals(Object) - Method in class jline.lib.fjcodes.FJServiceH
equals(Object) - Method in class jline.lib.fjcodes.GenerateServiceResult
equals(Object) - Method in class jline.lib.fjcodes.MainFJ.FJPercentileResult
equals(Object) - Method in class jline.lib.fjcodes.SAResult
equals(Object) - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
equals(Object) - Method in class jline.lib.kpctoolbox.mc.CTMC.ConnectedComponents
equals(Object) - Method in class jline.lib.kpctoolbox.mc.CTMC.CTMCSolveResult
equals(Object) - Method in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
equals(Object) - Method in class jline.lib.m3a.M3aCompressOptions
equals(Object) - Method in class jline.lib.m3a.M3aFitOptions
equals(Object) - Method in class jline.lib.m3a.MTrace
equals(Object) - Method in class jline.lib.ode.RKF45Result
equals(Object) - Method in class jline.lib.qmam.DTQueueResult
equals(Object) - Method in class jline.lib.qmam.MAPMAP1Options
equals(Object) - Method in class jline.lib.qmam.MAPMAP1Result
equals(Object) - Method in class jline.lib.qmam.PHPH1Options
equals(Object) - Method in class jline.lib.qmam.PHPH1Result
equals(Object) - Method in class jline.lib.qmam.Q_RAP_RAP_1.RAPRAP1Result
equals(Object) - Method in class jline.lib.smc.GIM1CaudalResult
equals(Object) - Method in class jline.lib.smc.GIM1PiOptions
equals(Object) - Method in class jline.lib.smc.MG1DecayResult
equals(Object) - Method in class jline.lib.smc.MG1FIOptions
equals(Object) - Method in class jline.lib.smc.Quadruple
equals(Object) - Method in class jline.solvers.ag.handlers.INAPResult
equals(Object) - Method in class jline.solvers.ctmc.analyzers.RewardResult
equals(Object) - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
equals(Object) - Method in class jline.solvers.mam.handlers.TransientResult
equals(Object) - Method in class jline.solvers.mam.MAMFJResult
equals(Object) - Method in class jline.util.matrix.BaseMatrix: Indicates whether some other object is "equal to" this matrix.
equals(Object) - Method in class jline.util.matrix.DenseMatrix: Indicates whether some other object is "equal to" this dense matrix.
equals(Object) - Method in class jline.util.matrix.Matrix: Checks for matrix equality.
equals(Object) - Method in class jline.util.matrix.SparseMatrix: Indicates whether some other object is "equal to" this sparse matrix.
equals(Object) - Method in class jline.util.Pair: Value equality on both components; see _kb/11-conventions-and-gotchas.md.
equals(Object) - Method in class jline.util.symbolic.SymExpr
equals(Object) - Method in class jline.util.Triple
equilibria - Variable in class jline.api.sym.SymEngine.FluidODEs: Equilibria as variable to expression maps, or null if not requested
equilibrium - Variable in class jline.solvers.ag.AGResult: Stationary vector of every agent at the fixed point.
equilibrium - Variable in class jline.solvers.mam.MAMResult
equilibriumDistribution - Variable in class jline.lib.kpctoolbox.mc.CTMC.CTMCSolveResult
Er - Variable in class jline.api.infer.InferLqnResult
Er - Variable in class jline.api.sym.SymEngine.Sensitivity: Mean reward, null if no reward was given
ERCHMM - Class in jline.lib.kpctoolbox.erchmm: Extended Renewal Continuous-time Hidden Markov Model (ER-CHMM) functions.
erchmm_emfit(double[], int[]) - Static method in class jline.lib.kpctoolbox.erchmm.ERCHMM
erchmm_emfit(double[], int[], int, double, boolean) - Static method in class jline.lib.kpctoolbox.erchmm.ERCHMM
erchmm_emfit_simple(double[], int[]) - Static method in class jline.lib.kpctoolbox.erchmm.ERCHMM
erchmm_emfit_simple(double[], int[], int, double) - Static method in class jline.lib.kpctoolbox.erchmm.ERCHMM
ERCHMMFitResult - Class in jline.lib.kpctoolbox.erchmm: Result class for ER-CHMM EM fitting.
ERCHMMFitResult(MatrixCell, double, int[]) - Constructor for class jline.lib.kpctoolbox.erchmm.ERCHMMFitResult
Erlang - Class in jline.lang.processes: An Erlang-n distribution with n phases.
Erlang(double, int) - Constructor for class jline.lang.processes.Erlang: Creates an Erlang distribution with the specified phase rate and number of phases.
ERLANG - Enum constant in enum jline.lang.constant.ProcessType
erlang_example() - Static method in class jline.lib.kpctoolbox.MAPCatalog: Erlang Example Source: erlang_example.m Category: Examples
erlangB(double, int) - Static method in class jline.api.qsys.Qsys_mmcc_retrial_fp: Erlang-B by the recursion B_i = a B_{i-1}/(i + a B_{i-1}), numerically stable.
erlangB(int, double) - Static method in class jline.api.qsys.Qsys_mtgs0_mol: Erlang B by the recursion B_j = a B_(j-1)/(j + a B_(j-1)), which never forms a^s/s! and so never overflows.
erlangC(int, double) - Static method in class jline.api.qsys.Qsys_mtgs0_mol: Erlang C from the same recursion; 1 when the load saturates the servers.
ErlangC(double, int) - Static method in class jline.api.qsys.Qsys_mmk: Calculates the probability that an arriving customer is forced to join the queue (i.e., all servers are occupied) in an M/M/k system.
ErlangParameters(int) - Constructor for class jline.lib.m3a.M3A.ErlangParameters
errOnSum(Matrix, Matrix) - Static method in class jline.bench.BenchmarkUtils: Calculate mean error on sum for queue length metrics Returns mean absolute error relative to sum of each column Similar to MATLAB: mean(abs(exact-approx))/sum(exact)
error - Variable in class jline.io.Ret.mamMAPFitReturn
errorBound - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: sum(pi0) - sum(pit), which IS the L1 error against pi(t).
errorCode - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.ComposeResult
errorQ - Variable in class jline.bench.cqn.BenchCQN_FCFS.BenchmarkResult
errorQ - Variable in class jline.bench.cqn.BenchCQN_PS.BenchmarkResult
errorR - Variable in class jline.bench.cqn.BenchCQN_FCFS.BenchmarkResult
errorR - Variable in class jline.bench.cqn.BenchCQN_PS.BenchmarkResult
errors - Variable in class jline.unified.JsonResult
errors - Variable in class jline.unified.TestResults
errorT - Variable in class jline.bench.cqn.BenchCQN_FCFS.BenchmarkResult
errorT - Variable in class jline.bench.cqn.BenchCQN_PS.BenchmarkResult
errorU - Variable in class jline.bench.cqn.BenchCQN_FCFS.BenchmarkResult
errorU - Variable in class jline.bench.cqn.BenchCQN_PS.BenchmarkResult
errQ - Variable in class jline.bench.cqn.CQNResultsFormatter.CQNBenchmarkResult
errQ - Variable in class jline.bench.fj.BenchFJ_Closed.BenchmarkResult
errQ - Variable in class jline.bench.fj.BenchFJ_Mixed.BenchmarkResult
errQ - Variable in class jline.bench.fj.BenchFJ_Nested.BenchmarkResult
errQ - Variable in class jline.bench.fj.BenchFJ_Open.BenchmarkResult
errQ - Variable in class jline.bench.mqn.MQNResultsFormatter.MQNBenchmarkResult
errQ - Variable in class jline.bench.oqn.OQNResultsFormatter.OQNBenchmarkResult
errR - Variable in class jline.bench.fj.BenchFJ_Closed.BenchmarkResult
errR - Variable in class jline.bench.fj.BenchFJ_Mixed.BenchmarkResult
errR - Variable in class jline.bench.fj.BenchFJ_Nested.BenchmarkResult
errR - Variable in class jline.bench.fj.BenchFJ_Open.BenchmarkResult
errT - Variable in class jline.bench.cqn.CQNResultsFormatter.CQNBenchmarkResult
errT - Variable in class jline.bench.fj.BenchFJ_Closed.BenchmarkResult
errT - Variable in class jline.bench.fj.BenchFJ_Mixed.BenchmarkResult
errT - Variable in class jline.bench.fj.BenchFJ_Nested.BenchmarkResult
errT - Variable in class jline.bench.fj.BenchFJ_Open.BenchmarkResult
errT - Variable in class jline.bench.mqn.MQNResultsFormatter.MQNBenchmarkResult
errT - Variable in class jline.bench.oqn.OQNResultsFormatter.OQNBenchmarkResult
errU - Variable in class jline.bench.cqn.CQNResultsFormatter.CQNBenchmarkResult
errU - Variable in class jline.bench.fj.BenchFJ_Closed.BenchmarkResult
errU - Variable in class jline.bench.fj.BenchFJ_Mixed.BenchmarkResult
errU - Variable in class jline.bench.fj.BenchFJ_Nested.BenchmarkResult
errU - Variable in class jline.bench.fj.BenchFJ_Open.BenchmarkResult
errU - Variable in class jline.bench.mqn.MQNResultsFormatter.MQNBenchmarkResult
errU - Variable in class jline.bench.oqn.OQNResultsFormatter.OQNBenchmarkResult
errW - Variable in class jline.bench.cqn.CQNResultsFormatter.CQNBenchmarkResult
errW - Variable in class jline.bench.mqn.MQNResultsFormatter.MQNBenchmarkResult
errW - Variable in class jline.bench.oqn.OQNResultsFormatter.OQNBenchmarkResult
ES - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
ES - Variable in class jline.api.mapqn.Mapqn_amva.Result
eshift - Variable in class jline.lang.layered.LayeredNetworkStruct
est_vi_closed() - Static method in class jline.examples.java.inference.InferenceExamples: Variational inference for Markovian queueing networks, on a closed loop.
estimate - Variable in class jline.api.sim.QuantileCIResult: Full-sample empirical p-quantile of the truncated data.
estimateAt(List<Station>) - Method in class jline.inference.lang.ParamEstimator
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.BogackiShampine23Integrator
EstimatorOptions - Class in jline.inference.lang: Options for ParamEstimator.
EstimatorOptions() - Constructor for class jline.inference.lang.EstimatorOptions
esup - Variable in class jline.solvers.mam.handlers.Mam_bgchain_env.Env: Closed jobs each environment state stands for, ascending.
esup - Variable in class jline.solvers.mam.handlers.Mam_bgchain_station.StationResult: Environment support, ascending.
eta - Variable in class jline.api.mc.Ctmc_saddlepoint.PerronState
eta - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: eta(theta*).
eta - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
eta - Variable in class jline.api.sim.QuestOptions: Decay coefficient of the warmup significance.
eta - Variable in class jline.io.Ret.npfqnNonexpApprox
ETAQAResult(Matrix, Matrix) - Constructor for class jline.lib.smc.MG1_ETAQA.ETAQAResult
etask - Variable in class jline.api.lqn.LqnRefRoutes.Group: lqn.parent of each entry.
euler - Class in jline.lib.lti
euler - Variable in class jline.api.pfqn.nc.Pfqn_clw.Options: Apply Euler summation where K_j > eulerN + eulerM.
eulerM - Variable in class jline.api.pfqn.nc.Pfqn_clw.Options: Starting order of the Euler averaging (m in eq.
eulerMaxM - Variable in class jline.api.pfqn.nc.Pfqn_clw.Options: Largest Euler order reached by doubling.
eulerN - Variable in class jline.api.pfqn.nc.Pfqn_clw.Options: Terms summed exactly before averaging (n in eq.
eulerTol - Variable in class jline.api.pfqn.nc.Pfqn_clw.Options: Relative tolerance on |E(m,n) - E(m,n+1)| for accepting the Euler sum.
ev - Variable in class jline.solvers.ctmc.SolverCTMC.generatorResult
eval(double) - Method in interface jline.api.npfqn.IdcFunction: Evaluate the IDC vector at time t.
eval(double) - Method in interface jline.api.snc.SncEnvelope
eval(double[][]) - Method in interface jline.util.ode.Rodas.Mas
eval(double, double[], double[]) - Method in interface jline.util.ode.Rodas.Dfx
eval(double, double[], double[]) - Method in interface jline.util.ode.Rodas.Fcn
eval(double, double[], double[][]) - Method in interface jline.util.ode.Rodas.Jac
eval(int, double, double, double[], Rodas.Dense) - Method in interface jline.util.ode.Rodas.Solout
eval(List<String>, Map<String, Double>) - Method in class jline.api.sym.SageRestEngine
eval(List<String>, Map<String, Double>) - Method in interface jline.api.sym.SymEngine: Substitutes values for symbols and evaluates.
eval(T, T) - Method in interface jline.api.da.Da_fpi.Norm
evalACFT(int[], double) - Method in class jline.lang.processes.MAP: Evaluates the autocorrelation function at given lags and timescale.
evalACFT(int[], double) - Method in class jline.lang.processes.MarkovModulated
evalACFT(int[], double) - Method in class jline.lang.processes.MMPP2
evalAt(double) - Method in class jline.solvers.fluid.handlers.FluidRateMultiplier: The per-event multiplier in force at time t.
evalCDF(double) - Method in class jline.lang.processes.Bernoulli
evalCDF(double) - Method in class jline.lang.processes.Binomial
evalCDF(double) - Method in class jline.lang.processes.BMMAPt: NaN; see BMMAPt.getSCV().
evalCDF(double) - Method in class jline.lang.processes.Coxian
evalCDF(double) - Method in class jline.lang.processes.Det: Evaluates the cumulative distribution function at the given point.
evalCDF(double) - Method in class jline.lang.processes.Disabled
evalCDF(double) - Method in class jline.lang.processes.DiscreteSampler
evalCDF(double) - Method in class jline.lang.processes.DiscreteUniform
evalCDF(double) - Method in class jline.lang.processes.Distribution: Evaluates the cumulative distribution function (CDF) at the given point.
evalCDF(double) - Method in class jline.lang.processes.DMAP: CDF(t) = 1 - pi * D0^floor(t) * e
evalCDF(double) - Method in class jline.lang.processes.EmpiricalCDF
evalCDF(double) - Method in class jline.lang.processes.Erlang: Evaluates the cumulative distribution function at the given point.
evalCDF(double) - Method in class jline.lang.processes.Exp: Evaluates the cumulative distribution function at the given point.
evalCDF(double) - Method in class jline.lang.processes.Expolynomial: Returns NaN: the CDF of an expolynomial density expression is not evaluated here.
evalCDF(double) - Method in class jline.lang.processes.Gamma
evalCDF(double) - Method in class jline.lang.processes.Geometric
evalCDF(double) - Method in class jline.lang.processes.GMM
evalCDF(double) - Method in class jline.lang.processes.HyperExp
evalCDF(double) - Method in class jline.lang.processes.Immediate
evalCDF(double) - Method in class jline.lang.processes.Lognormal
evalCDF(double) - Method in class jline.lang.processes.MAP: Evaluates the cumulative distribution function (CDF) at time t.
evalCDF(double) - Method in class jline.lang.processes.MAPt: NaN; see MAPt.getSCV().
evalCDF(double) - Method in class jline.lang.processes.MarkedMMPP: Evaluates the cumulative distribution function (CDF) at time t.
evalCDF(double) - Method in class jline.lang.processes.Markovian: Evaluates the cumulative distribution function at the given point.
evalCDF(double) - Method in class jline.lang.processes.MMAPt: NaN; see MMAPt.getSCV().
evalCDF(double) - Method in class jline.lang.processes.MMPP2: Evaluates the cumulative distribution function (CDF) at time t.
evalCDF(double) - Method in class jline.lang.processes.MPHt: NaN; see MPHt.getSCV().
evalCDF(double) - Method in class jline.lang.processes.MultivariateNormal: CDF is not well-defined for multivariate distributions.
evalCDF(double) - Method in class jline.lang.processes.NHPP: Returns NaN; see NHPP.getSCV().
evalCDF(double) - Method in class jline.lang.processes.Normal
evalCDF(double) - Method in class jline.lang.processes.Pareto
evalCDF(double) - Method in class jline.lang.processes.PH: Evaluates the cumulative distribution function (CDF) at time t.
evalCDF(double) - Method in class jline.lang.processes.PHt: NaN; see PHt.getSCV().
evalCDF(double) - Method in class jline.lang.processes.Poisson: Evaluates the cumulative distribution function (CDF) at value t.
evalCDF(double) - Method in class jline.lang.processes.Prior: Evaluates the mixture CDF at t.
evalCDF(double) - Method in class jline.lang.processes.Replayer
evalCDF(double) - Method in class jline.lang.processes.Uniform
evalCDF(double) - Method in class jline.lang.processes.Weibull
evalCDF(double) - Method in class jline.lang.processes.Zipf: Evaluates the cumulative distribution function at t
evalCDF(double) - Method in class jline.solvers.uq.SolverUQ.EmpiricalCDF: Evaluates the CDF at point x.
evalCDF(double[]) - Method in class jline.lang.processes.Markovian: Evaluates the cumulative distribution function at multiple points.
evalCDF(int) - Method in class jline.lang.processes.Bernoulli
evalCDF(int) - Method in class jline.lang.processes.Binomial
evalCDFMatrix() - Method in class jline.lang.processes.APH: Evaluates the CDF at default time points and returns as a Matrix.
evalCDFMatrix(double[]) - Method in class jline.lang.processes.APH: Evaluates the CDF at specified time points and returns as a Matrix.
evalInfGen(double[]) - Method in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult: Evaluate the symbolic generator at the given symbol values.
evalInfGen(Map<String, Double>) - Method in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult: Evaluate the symbolic generator at the given symbol assignment.
evalLST(double) - Method in class jline.lang.processes.APH
evalLST(double) - Method in class jline.lang.processes.Bernoulli: Evaluates the Laplace-Stieltjes Transform at s.
evalLST(double) - Method in class jline.lang.processes.Binomial: Evaluates the Laplace-Stieltjes Transform at s.
evalLST(double) - Method in class jline.lang.processes.BMMAPt: NaN; see BMMAPt.getSCV().
evalLST(double) - Method in class jline.lang.processes.ContinuousDistribution
evalLST(double) - Method in class jline.lang.processes.Coxian
evalLST(double) - Method in class jline.lang.processes.Det: Evaluates the Laplace-Stieltjes transform at the given point.
evalLST(double) - Method in class jline.lang.processes.Disabled
evalLST(double) - Method in class jline.lang.processes.DiscreteDistribution: Evaluate the Laplace-Stieltjes Transform at s For discrete distributions, this is the probability generating function evaluated at e^(-s)
evalLST(double) - Method in class jline.lang.processes.DiscreteUniform: Evaluates the Laplace-Stieltjes Transform at s.
evalLST(double) - Method in class jline.lang.processes.Distribution: Evaluate the Laplace-Stieltjes Transform at s
evalLST(double) - Method in class jline.lang.processes.EmpiricalCDF: Evaluate the Laplace-Stieltjes Transform at s
evalLST(double) - Method in class jline.lang.processes.Erlang: Evaluates the Laplace-Stieltjes transform at the given point.
evalLST(double) - Method in class jline.lang.processes.Exp: Evaluates the Laplace-Stieltjes transform at the given point.
evalLST(double) - Method in class jline.lang.processes.Expolynomial: Returns NaN: the LST of an expolynomial density expression is not evaluated here.
evalLST(double) - Method in class jline.lang.processes.Gamma
evalLST(double) - Method in class jline.lang.processes.Geometric: Evaluates the Laplace-Stieltjes Transform at s.
evalLST(double) - Method in class jline.lang.processes.GMM
evalLST(double) - Method in class jline.lang.processes.HyperExp
evalLST(double) - Method in class jline.lang.processes.Immediate
evalLST(double) - Method in class jline.lang.processes.Lognormal
evalLST(double) - Method in class jline.lang.processes.MAP: Evaluates the Laplace-Stieltjes Transform (LST) at parameter s.
evalLST(double) - Method in class jline.lang.processes.MAPt: NaN; see MAPt.getSCV().
evalLST(double) - Method in class jline.lang.processes.MarkedMMPP: Evaluates the Laplace-Stieltjes Transform (LST) at parameter s.
evalLST(double) - Method in class jline.lang.processes.Markovian
evalLST(double) - Method in class jline.lang.processes.MMAPt: NaN; see MMAPt.getSCV().
evalLST(double) - Method in class jline.lang.processes.MMPP2: Evaluates the Laplace-Stieltjes Transform (LST) at parameter s.
evalLST(double) - Method in class jline.lang.processes.MPHt: NaN; see MPHt.getSCV().
evalLST(double) - Method in class jline.lang.processes.MultivariateNormal: LST is not well-defined for multivariate distributions.
evalLST(double) - Method in class jline.lang.processes.NHPP: Returns NaN; see NHPP.getSCV().
evalLST(double) - Method in class jline.lang.processes.Normal
evalLST(double) - Method in class jline.lang.processes.Pareto
evalLST(double) - Method in class jline.lang.processes.PH
evalLST(double) - Method in class jline.lang.processes.PHt: NaN; see PHt.getSCV().
evalLST(double) - Method in class jline.lang.processes.Poisson: Evaluates the Laplace-Stieltjes Transform at s.
evalLST(double) - Method in class jline.lang.processes.Prior: Evaluates the mixture Laplace-Stieltjes transform.
evalLST(double) - Method in class jline.lang.processes.Replayer
evalLST(double) - Method in class jline.lang.processes.Uniform
evalLST(double) - Method in class jline.lang.processes.Weibull
evalLST(double) - Method in class jline.lang.processes.Zipf: Evaluates the Laplace-Stieltjes Transform at s.
evalLST(Complex) - Method in class jline.lang.processes.Det: The transform at a COMPLEX argument, exp(-s d), exact and analytic.
evalLST(Complex) - Method in class jline.lang.processes.Distribution: Evaluate the Laplace-Stieltjes Transform at a COMPLEX argument.
evalLST(Complex) - Method in class jline.lang.processes.Gamma: The transform at a COMPLEX argument, (beta/(s+beta))^shape, exact where the generic CDF sum of Distribution would only approximate it.
evalLST(Complex) - Method in class jline.lang.processes.Markovian: The transform at a COMPLEX argument, pie (sI - D0)^-1 (-D0 e), which is the same closed form as the real overload and is ANALYTIC, so it serves the arguments off the real axis that transform inversion and root location need.
evalLST(Complex) - Method in class jline.lang.processes.Uniform: The transform at a COMPLEX argument, exact and analytic, where the CDF sum of Distribution.evalLST(org.apache.commons.math3.complex.Complex) would only approximate it.
evalMeanT(double) - Method in class jline.lang.processes.MAP: Evaluates the mean of the counting process at time t.
evalMeanT(double) - Method in class jline.lang.processes.Markovian: Evaluates the mean count at time t.
evalMeanT(double) - Method in class jline.lang.processes.MMPP2
evalPDF(double) - Method in class jline.lang.processes.Gamma: Evaluates the probability density function (PDF) at the given point.
evalPDF(double) - Method in class jline.lang.processes.GMM
evalPDF(double) - Method in class jline.lang.processes.Lognormal: Evaluates the probability density function (PDF) at the given point.
evalPDF(double) - Method in class jline.lang.processes.MAP: Evaluates the probability density function (PDF) at time t.
evalPDF(double) - Method in class jline.lang.processes.MMPP2: Evaluates the probability density function (PDF) at time t.
evalPDF(double) - Method in class jline.lang.processes.Normal
evalPDF(double) - Method in class jline.lang.processes.Pareto: Evaluates the probability density function (PDF) at the given point.
evalPDF(double) - Method in class jline.lang.processes.Uniform: Evaluates the probability density function (PDF) at the given point.
evalPDF(double) - Method in class jline.lang.processes.Weibull: Evaluates the probability density function (PDF) at the given point.
evalPDF(double[]) - Method in class jline.lang.processes.MultivariateNormal: Evaluates the probability density function.
evalPDF(int) - Method in class jline.lang.processes.Poisson
evalPDF(Matrix) - Method in class jline.lang.processes.MultivariateNormal: Evaluates the probability density function.
evalPMF() - Method in class jline.lang.processes.DiscreteSampler
evalPMF() - Method in class jline.lang.processes.Zipf
evalPMF(double) - Method in class jline.lang.processes.DiscreteDistribution
evalPMF(double) - Method in class jline.lang.processes.DiscreteUniform
evalPMF(double) - Method in class jline.lang.processes.Geometric
evalPMF(double) - Method in class jline.lang.processes.Poisson: Evaluates the probability mass function (PMF) at value k.
evalPMF(double[]) - Method in class jline.lang.processes.DiscreteDistribution
evalPMF(int) - Method in class jline.lang.processes.Bernoulli
evalPMF(int) - Method in class jline.lang.processes.Binomial
evalPMF(List<Double>) - Method in class jline.lang.processes.DiscreteDistribution
evalPMF(List<Double>) - Method in class jline.lang.processes.DiscreteSampler
evalPMF(List<Double>) - Method in class jline.lang.processes.Zipf: Evaluates the probability mass function at t
evalProbInterval(double, double) - Method in class jline.lang.processes.Distribution: Evaluates the probability of the distribution falling within the given interval.
evals - Variable in class jline.io.Ret.pfqnQlenMoments
evaluate(double) - Method in interface jline.api.aoi.LstFunction: Evaluate the LST at the given value of s.
evaluate(double[]) - Method in class jline.opt.LineEvaluator
evaluate(double[]) - Method in interface jline.opt.solver.de.DifferentialEvolution.Objective
evaluate(double, double[], double[]) - Method in interface jline.lib.ode.OdeFunction
evaluate(Double[]) - Method in interface jline.lib.m3a.M3aUtils.ConstraintFunction
evaluate(Double[]) - Method in interface jline.lib.m3a.M3aUtils.ObjectiveFunction
evaluate(Map<String, Double>) - Method in class jline.util.symbolic.SymExpr: The value at a numeric assignment of every variable.
evaluate(LayeredNetwork) - Method in interface jline.api.infer.InferLqnOptions.ObservationSolver
evaluate(EvaluationResult, Map<String, Object>) - Method in class jline.opt.objectives.BudgetConstraint
evaluate(EvaluationResult, Map<String, Object>) - Method in class jline.opt.objectives.Constraint: Violation amount: 0 if satisfied, positive if violated.
evaluate(EvaluationResult, Map<String, Object>) - Method in class jline.opt.objectives.MaximizePerformance
evaluate(EvaluationResult, Map<String, Object>) - Method in class jline.opt.objectives.MinimizeCost
evaluate(EvaluationResult, Map<String, Object>) - Method in class jline.opt.objectives.MinimizeSystemResponseTime
evaluate(EvaluationResult, Map<String, Object>) - Method in class jline.opt.objectives.Objective: The scalar to minimize (before constraint penalties).
evaluate(EvaluationResult, Map<String, Object>) - Method in class jline.opt.objectives.ResponseTimeConstraint
evaluate(EvaluationResult, Map<String, Object>) - Method in class jline.opt.objectives.SystemResponseTimeConstraint
evaluate(EvaluationResult, Map<String, Object>) - Method in class jline.opt.objectives.ThroughputConstraint
evaluate(EvaluationResult, Map<String, Object>) - Method in class jline.opt.objectives.UtilizationConstraint
evaluateLayeredSensitivities(Map<String, Object>) - Method in class jline.opt.LineEvaluator: Compute LQN per-layer service-rate partial sensitivities on demand.
evaluateValues(Map<String, Object>) - Method in class jline.opt.LineEvaluator
evaluateValuesWithCache(Map<String, Object>, Map<String, EvaluationResult>) - Method in class jline.opt.LineEvaluator
evaluateWithCache(double[], Map<String, EvaluationResult>) - Method in class jline.opt.LineEvaluator
evaluateWithPenalty(EvaluationResult, Map<String, Object>, double) - Method in class jline.opt.objectives.Objective: Objective value plus penalty_weight times total constraint violation.
EvaluationResult - Class in jline.opt.results: Result from evaluating a LINE network model via SolverAUTO, holding the per-(station, class) performance metrics the optimizer reads.
EvaluationResult() - Constructor for class jline.opt.results.EvaluationResult
evalVarT(double) - Method in class jline.lang.processes.MAP: Evaluates the variance of the counting process at time t.
evalVarT(double) - Method in class jline.lang.processes.Markovian: Evaluates the variance count at time t.
evalVarT(double) - Method in class jline.lang.processes.MMPP2: Evaluates the variance at time t.
evalVec(double[]) - Method in interface jline.api.npfqn.Npfqn_traffic_idc.PerQueueIdc
evClass - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
evClass - Variable in class jline.solvers.fluid.petri.PetriTerms
evd - Variable in class jline.api.fj.GKBoundResult
event - Variable in class jline.inference.lang.ConditionEvent
event - Variable in class jline.io.Ret.SampleResult: Event sequence corresponding to the state trajectory.
event - Variable in class jline.lang.Event
event - Variable in class jline.lang.ModeEvent
event - Variable in class jline.lang.state.EventCacheKey
event - Variable in class jline.solvers.ctmc.SolverCTMC.SampleResult
event - Variable in class jline.solvers.env.RenvEvent
event - Variable in class jline.solvers.ssa.SampleNodeState: List of events that occurred during sampling
event - Variable in class jline.solvers.ssa.SampleSysState: List of events that occurred during sampling
Event - Class in jline.lang: Class abstracting an event within a Network model
Event(EventType, int, int) - Constructor for class jline.lang.Event: Creates a new Event with basic parameters.
Event(EventType, int, int, double, Matrix, double, double) - Constructor for class jline.lang.Event: Creates a new Event with all basic parameters specified.
Event(EventType, int, int, SerializableFunction<Pair<Map<Node, Matrix>, Map<Node, Matrix>>, Double>, Matrix, double, double) - Constructor for class jline.lang.Event: Creates a new Event where probability is determined by a function of system state.
eventcache - Variable in class jline.solvers.SolverOptions.Config: Enable event caching for SSA
eventCache - Variable in class jline.solvers.ssa.SolverSSA
EventCache - Class in jline.lang.state: A class storing events
EventCache(boolean, boolean) - Constructor for class jline.lang.state.EventCache
EventCacheKey - Class in jline.lang.state: A data structure acting as a key to the EventCache
EventCacheKey(int, Matrix, EventType, int, boolean) - Constructor for class jline.lang.state.EventCacheKey
EventCacheKey(int, Matrix, EventType, int, boolean, boolean) - Constructor for class jline.lang.state.EventCacheKey
eventFilt - Variable in class jline.lang.processes.MarkedMarkovProcess
eventFilt - Variable in class jline.solvers.ctmc.CTMCResult
eventFilt - Variable in class jline.solvers.ctmc.SolverCTMC.generatorResult
eventFilt - Variable in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult: Normalized filtration matrix of each event (coefficient of its symbol); empty if the event has no positive rates
EventFiltration - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
EventFiltration - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
eventFrom - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
EventHandleResult(Matrix, Matrix, Matrix) - Constructor for class jline.lang.state.State.EventHandleResult
EventHandleResult(Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.lang.state.State.EventHandleResult
eventIdx - Variable in class jline.solvers.fluid.moments.FluidMomentTerms: Source state coordinate of each event.
eventIdxReduced - Variable in class jline.solvers.fluid.handlers.ImmediateElimination.EliminationResult
EventInfo() - Constructor for class jline.solvers.ctmc.SolverCTMC.EventInfo
EventInfo() - Constructor for class jline.solvers.wrappers.jmt.SolverJMT.EventInfo
eventList - Variable in class jline.lang.processes.MarkedMarkovProcess
EventResult(Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.EventResult
EventResult(Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.EventResult
events - Variable in class jline.api.mdd.MddDescriptor: The events of the descriptor.
events - Variable in class jline.solvers.SolverOptions: Event budget for discrete-event simulation solvers (SSA: fired transitions; LDES: service completion events).
events(int) - Method in class jline.solvers.SolverOptions: Sets the event budget for discrete-event simulation solvers (builder pattern).
eventTo - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
EventType - Enum in jline.lang.constant: Constants for specifying events
eventVar - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
everDisabled - Variable in class jline.api.spn.Spn_mdd.SpnInfo: Whether each mode was ever found disabled in a reachable marking.
evIsDeparture - Variable in class jline.solvers.fluid.moments.FluidMomentTerms: Event classification, so throughputs can be read off the rate vector.
evKind - Variable in class jline.solvers.fluid.petri.PetriTerms
evMode - Variable in class jline.solvers.fluid.petri.PetriTerms
evPhase - Variable in class jline.solvers.fluid.petri.PetriTerms
evStation - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
evStation - Variable in class jline.solvers.fluid.petri.PetriTerms
evTo - Variable in class jline.solvers.fluid.petri.PetriTerms
ex1_basic() - Static method in class jline.examples.java.basic.ClusterExamples: Solves a four-PS-server open cluster with random dispatching.
ex1_geogeo1() - Static method in class jline.examples.java.discrete.DiscreteExamples: Geo/Geo/1 with an unbounded buffer.
ex2_geogeo1_loss() - Static method in class jline.examples.java.discrete.DiscreteExamples: Geo/Geo/1/L loss system and its blocking probability.
ex3_bernoulli_loaddep() - Static method in class jline.examples.java.discrete.DiscreteExamples: Load-dependent Bernoulli server, and the discrete-time arrival theorem.
ex3_heterogeneous() - Static method in class jline.examples.java.basic.ClusterExamples: Three FCFS servers with non-uniform service rates dispatched JSQ.
ex4_closed() - Static method in class jline.examples.java.basic.ClusterExamples: Closed-network variant: 8 jobs cycling between Think and 3 PS servers.
ex4_cycle() - Static method in class jline.examples.java.discrete.DiscreteExamples: Closed cycle of Bernoulli servers.
ex5_cycle_loaddep() - Static method in class jline.examples.java.discrete.DiscreteExamples: Closed cycle with state dependent service probabilities.
ex5_multiclass() - Static method in class jline.examples.java.basic.ClusterExamples: Two-class open cluster (interactive + batch) on two PS servers.
ex6_cycle_multiclass() - Static method in class jline.examples.java.discrete.DiscreteExamples: Multichain closed cycle.
ex7_mixed() - Static method in class jline.examples.java.basic.ClusterExamples: Mixed variant: an open class and a closed class share the same two servers.
exact - Variable in class jline.api.fj.FJ_charmax_ext.FJCharMaxDiscreteResult
exact - Variable in class jline.api.fj.FJ_closed.FJResptClosedResult
exact - Variable in class jline.api.mam.Mmap2k_fit.Result
exact - Variable in class jline.api.mam.Mmap3k_fit.Result
exact - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: True where the value was computed exactly rather than approximated.
exact - Variable in class jline.solvers.NetworkMomentStationResult: The exact result, non-null when the method was "exact".
exact - Variable in class jline.solvers.uq.SolverUQ.Interval: Whether the interval is the exact hull over the whole parameter box.
EXACT - Static variable in class jline.api.cache.Cache_spm_size: Resolve the cost exactly at k.
EXACT_DET - Static variable in class jline.solvers.MethodType
EXACT_MAX - Static variable in class jline.api.pfqn.Pfqn_respt_ps_moments: Hard bound on an explicitly requested exact solve.
EXACT_POPULATION_MAX - Static variable in class jline.solvers.auto.SolverAUTO: Population at or below which an exact solver is preferred over an approximation, when one is available.
EXACT_RND - Static variable in class jline.solvers.MethodType
exactnessReason(Network, String) - Static method in class jline.solvers.mva.SolverMVA: Product-form precondition of method "exact", the same rule MVARunner enforces at solve time.
exactnessReason(Network, String) - Static method in class jline.solvers.nc.SolverNC: Product-form precondition of the normalizing-constant methods, the same rule runAnalyzer enforces at solve time.
example() - Static method in class jline.examples.java.basic.OpenBMMAPtModel: Builds a Source -> Queue -> Sink model whose arrivals follow a two-segment BMMAPt.
example() - Static method in class jline.examples.java.basic.OpenMAPtModel: Builds a Source -> Delay -> Sink model whose arrivals follow a two-segment 2-phase MAP_t.
example() - Static method in class jline.examples.java.basic.OpenMMAPtModel: Builds a Source -> Queue -> Sink model whose arrivals follow a two-segment MMAPt.
example_mapqn2renv() - Static method in class jline.examples.java.advanced.RandomEnvExamples: `example_mapqn2renv.m`: the same conversion reached through MAPQN2RENV, the named entry point, with the stage networks then solved one at a time.
example1_basic() - Static method in class jline.examples.HeteroServerExample: Example 1: Basic heterogeneous server queue A queue with two server types: - Fast servers (2 servers, rate 2.0) - Slow servers (3 servers, rate 1.0)
example1_basicFailureRepair() - Static method in class jline.examples.java.advanced.EnvBreakdownExample: Example 1: Using addNodeFailureRepair convenience method with node object (recommended).
example2_compatibility() - Static method in class jline.examples.HeteroServerExample: Example 2: Heterogeneous servers with class compatibility restrictions Two job classes with different server compatibility: - ClassA: Can be served by both Fast and Slow servers - ClassB: Can only be served by Slow servers
example2_separateCalls() - Static method in class jline.examples.java.advanced.EnvBreakdownExample: Example 2: Using separate breakdown and repair calls with node object.
example3_customResetPolicies() - Static method in class jline.examples.java.advanced.EnvBreakdownExample: Example 3: With custom reset policies using node object.
example3_policies() - Static method in class jline.examples.HeteroServerExample: Example 3: Compare different heterogeneous scheduling policies
example4_modifyResetPolicies() - Static method in class jline.examples.java.advanced.EnvBreakdownExample: Example 4: Modifying reset policies after creation using node object.
example4_parallelism() - Static method in class jline.examples.HeteroServerExample: Example 4: Job parallelism, the servers a job seizes for its whole service.
example5_solveEnvironment() - Static method in class jline.examples.java.advanced.EnvBreakdownExample: Example 5: Solve the environment model and display results.
ExampleData - Class in jline.examples: A filesystem path for a data file an example reads, wherever that example was loaded from.
ExampleRunner - Class in jline.examples: Run one example by name, the way line-examples runs one C++ example.
ExampleRunner() - Constructor for class jline.examples.ExampleRunner
exceeded() - Static method in class jline.util.LineTimeout: True if a deadline is armed and has passed.
exec - Variable in class jline.solvers.ag.AGOptions: One of AGOptions.EXEC_SERIAL, AGOptions.EXEC_PARALLEL (or AGOptions.EXEC_PARA), AGOptions.EXEC_CLUSTER.
exec(String) - Method in class jline.solvers.ag.AGOptions
EXEC_CLUSTER - Static variable in class jline.solvers.ag.AGOptions: Partition the agents over remote ag-worker processes.
EXEC_PARA - Static variable in class jline.solvers.ag.AGOptions: The accepted alias of AGOptions.EXEC_PARALLEL, as SolverSSA spells it.
EXEC_PARALLEL - Static variable in class jline.solvers.ag.AGOptions: Fan the agents of a sweep out over a local thread pool.
EXEC_SERIAL - Static variable in class jline.solvers.ag.AGOptions: One agent per (station, class); solve them one after another.
execs - Variable in class jline.api.lqn.LqnPh.EntryWorkflow: Expected executions of each LQN activity per entry invocation.
execs - Variable in class jline.lang.workflow.Workflow.SPTree: Expected executions of each node per workflow execution.
EXHAUSTIVE - Enum constant in enum jline.lang.constant.PollingType
exit - Variable in class jline.lang.state.CtmcPool
exp() - Method in class jline.util.matrix.Matrix: Applies the exponential function to each element of the matrix.
Exp - Class in jline.lang.processes: An exponential distribution.
Exp(double) - Constructor for class jline.lang.processes.Exp: Creates an exponential distribution with the specified rate parameter.
EXP - Enum constant in enum jline.io.WfCommonsOptions.DistributionType: Exponential distribution (default)
EXP - Enum constant in enum jline.lang.constant.ProcessType
expand(Network, NetworkStruct, SolverOptions) - Method in class jline.solvers.tr.ChainsStrategy
expand(Network, NetworkStruct, SolverOptions) - Method in class jline.solvers.tr.LcStrategy
expand(Network, NetworkStruct, SolverOptions) - Method in interface jline.solvers.tr.TransformSolve.Strategy: Builds the subproblems and the context the lift will need.
expand(Network, NetworkStruct, VerboseLevel, String) - Static method in class jline.solvers.tr.FJTagTransform: Builds the tag-augmented struct the solver is to run on.
Expanded(List<Network>, boolean) - Constructor for class jline.solvers.tr.TransformSolve.Expanded
expandMatrix(int, int, int) - Method in class jline.util.matrix.Matrix: Expands the matrix dimensions to the specified size while preserving data.
expandMatrixToSquare() - Method in class jline.util.matrix.Matrix: Expands the matrix to be square, padding with zeros as needed.
expandV(double[], double[][], int) - Method in class jline.lib.rmf.CacheRMF: Expand reduced V back to full dimension.
expandW(double[][], double[][], int) - Method in class jline.lib.rmf.CacheRMF: Expand reduced W back to full dimension.
expansionParam - Variable in class jline.api.pfqn.PfqnResptPsResult: The large parameter Nexp = max_r Z(r)/S(r).
expansionWeight(double) - Static method in class jline.solvers.fluid.moments.FluidClosures: How much of the second-order correction the series admits at this point, and d tau / d ratio, mirroring MATLAB local_expansion_weight.
EXPECTED_WAIT - Enum constant in enum jline.lang.constant.BalkingStrategy: Balking based on expected waiting time.
expectsReply() - Method in class jline.lang.JobClass: Checks if this job class expects a reply signal after processing.
expIntMoments(Matrix, double) - Static method in class jline.lib.butools.mam.FluidTools: {J0, J1} with J0=int_0^L expm(M u)du, J1=int_0^L u expm(M u)du via nilpotent augmentation.
explicitInts - Variable in class jline.api.mdd.MddStats: Integers an explicit state list would need, |S| * K.
expm() - Method in class jline.util.matrix.Matrix: Computes the matrix exponential.
expm_higham() - Method in class jline.util.matrix.Matrix: Computes the matrix exponential using Higham's scaling and squaring method.
Expolynomial - Class in jline.lang.processes: Expolynomial distribution with density f(x) = sum ci * x^ai * exp(-li*x).
Expolynomial(String, double, double) - Constructor for class jline.lang.processes.Expolynomial: Creates an expolynomial distribution.
exponential - Variable in class jline.api.fj.GKBoundResult
exponential() - Static method in class jline.io.WfCommonsOptions: Create options with exponential distribution.
exponential(double) - Static method in class jline.api.qsys.Patience: Exponential patience of rate theta, so h(t) = theta for every t.
exponential(double) - Static method in class jline.api.qsys.QsysServiceLaw: Exponential with the given RATE, i.e.
EXPONENTIAL - Enum constant in enum jline.api.qsys.Patience.Form: Constant hazard theta: exponential patience, the Erlang A case.
exponentialPatience - Variable in class jline.api.qsys.QsysAbandonResult: Whether the patience law was exponential, in which case the answer is exact.
export(LayeredNetwork) - Static method in class jline.io.LQN2UML: Exports a LayeredNetwork model to a UML sequence diagram (TEX format by default).
export(LayeredNetwork, LQN2UML.Options) - Static method in class jline.io.LQN2UML: Exports a LayeredNetwork model to a UML sequence diagram with custom options.
exportAnalysis() - Method in class jline.api.wf.WorkflowManager
exportAnalysis(String) - Method in class jline.api.wf.WorkflowManager
exportEnvironmentToPNG(String, int, String[], double[][]) - Method in class jline.io.tikz.TikZExporter: Exports a combined network + Markov chain diagram to PNG.
exportODEs() - Method in class jline.solvers.fluid.SolverFluid: Export the mean-field ODE system to LaTeX in scalar notation.
exportODEs(String) - Method in class jline.solvers.fluid.SolverFluid: Export the mean-field ODE system to a LaTeX file in scalar notation.
exportODEs(String, String) - Method in class jline.solvers.fluid.SolverFluid: Export the system of ODEs integrated by the mean-field methods of this solver (default/matrix, pnorm, closing, statedep, softmin) as a standalone LaTeX document, in a symbolic form that is both human and machine readable.
exportStateHistogram - Variable in class jline.solvers.ldes.LDESOptions: When true, the simulator accumulates the exact joint-state residence-time histogram and exposes it via LDESResult.
exportTikZ(String) - Method in class jline.lang.Network: Exports this network to a PDF file using TikZ.
exportTikZToFile(String) - Method in class jline.lang.Network: Exports this network's TikZ code to a .tex file.
exportToFile(String) - Method in class jline.io.tikz.SequenceDiagramExporter: Exports the sequence diagram to a .tex file.
exportToFile(String) - Method in class jline.io.tikz.TikZExporter: Exports the TikZ code to a file.
exportToPDF() - Method in class jline.io.tikz.SequenceDiagramExporter: Compiles the sequence diagram to PDF using pdflatex.
exportToPDF() - Method in class jline.io.tikz.TikZExporter: Compiles the TikZ code to PDF using pdflatex.
exportToPNG(String) - Method in class jline.io.tikz.SequenceDiagramExporter: Exports the sequence diagram to a PNG file with default 150 DPI.
exportToPNG(String) - Method in class jline.io.tikz.TikZExporter: Exports the network diagram to a PNG file with default 150 DPI.
exportToPNG(String, int) - Method in class jline.io.tikz.SequenceDiagramExporter: Exports the sequence diagram to a PNG file.
exportToPNG(String, int) - Method in class jline.io.tikz.TikZExporter: Exports the network diagram to a PNG file.
expr - Variable in class jline.api.sym.SymEngine.Measure: The value as a rational function, or "undefined"
EXT - Enum constant in enum jline.lang.constant.SchedStrategy: External routing - used for open classes at sources
ExtendedSolverRecommendation(String, double, List<String>, Map<String, Object>, List<String>) - Constructor for class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
extendToMarkovian(Matrix, Matrix) - Static method in class jline.lib.butools.reptrans.ExtendToMarkovian
extendToMarkovian(Matrix, Matrix, int) - Static method in class jline.lib.butools.reptrans.ExtendToMarkovian
extendToMarkovian(Matrix, Matrix, int, double) - Static method in class jline.lib.butools.reptrans.ExtendToMarkovian: Extends a non-Markovian initial vector to a Markovian one by appending an Erlang tail.
ExtendToMarkovian - Class in jline.lib.butools.reptrans
extract(Matrix, int, int, int, int) - Static method in class jline.util.matrix.Matrix: Extracts a rectangular submatrix from the given source matrix.
extract(Matrix, int, int, int, int, Matrix, int, int) - Static method in class jline.util.matrix.Matrix: Extracts a rectangular submatrix from a source matrix and stores it in a destination matrix.
extractCols(int, int) - Method in class jline.util.matrix.Matrix: Extracts a range of columns from this matrix (instance method).
extractColumn(Matrix, int, Matrix) - Static method in class jline.util.matrix.Matrix: Extracts a single column from the given matrix.
extractColumn(DMatrix, int, DMatrix) - Method in class jline.util.matrix.SparseMatrix
extractColumnInPlace(DMatrix, int, DMatrix) - Method in class jline.util.matrix.SparseMatrix
extractColumnInPlaceStatic(DMatrix, int, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
extractColumns(int, int) - Method in class jline.util.matrix.SymMatrix: Columns [col0,col1) as a new matrix.
extractColumns(Matrix, int, int) - Static method in class jline.util.matrix.Matrix: Extracts a range of columns from the matrix [col0:col1).
extractColumns(Matrix, int, int, Matrix) - Static method in class jline.util.matrix.Matrix: Extracts a range of columns from the matrix [col0:col1) into a destination matrix.
extractColumnStatic(DMatrix, int, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
extractDiag(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Extracts the diagonal elements of a matrix and stores them in a destination matrix.
extractDiag(DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix
extractDiagStatic(DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
extractFJParams(NetworkStruct, FJInfo) - Static method in class jline.api.fj.FJConvert: Extract Fork-Join parameters from network structure
extractFragments() - Method in class jline.io.tikz.SequenceDiagramTraverser: Extracts combined fragments from activity precedences.
extractInteractions() - Method in class jline.io.tikz.SequenceDiagramTraverser: Extracts all interactions from the model.
extractMatrix(DMatrix, int, int, int, int, DMatrix, int, int) - Method in class jline.util.matrix.BaseMatrix
extractMatrix(DMatrix, int, int, int, int, DMatrix, int, int) - Method in class jline.util.matrix.DenseMatrix
extractMatrix(DMatrix, int, int, int, int, DMatrix, int, int) - Method in class jline.util.matrix.SparseMatrix
extractMatrixStatic(DMatrix, int, int, int, int, DMatrix, int, int) - Static method in class jline.util.matrix.DenseMatrix
extractMatrixStatic(DMatrix, int, int, int, int, DMatrix, int, int) - Static method in class jline.util.matrix.SparseMatrix
extractPhPairForPhm1(NetworkStruct, int) - Static method in class jline.api.qsys.Qsys_phm1
extractPhPairForPhm1(NetworkStruct, int, int) - Static method in class jline.api.qsys.Qsys_phm1: Extract a (alpha, T) PH representation for the qsys_phm1 sigma-root from the sn.proc map at a given station/class.
extractResults(double[], int, int, int[], int, int[], int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi
extractResults(double[], int, int, int[], int, int[], int, double[][]) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi: The diagonal marginals of the optimal tensor, plus the ALPHA-WEIGHTED mean BN_i when a load-dependent scaling is given.
extractRows(int, int) - Method in class jline.util.matrix.Matrix: Extracts rows from this matrix (instance method).
extractRows(int, int) - Method in class jline.util.matrix.SymMatrix: Rows [row0,row1) as a new matrix.
extractRows(ComplexMatrix, int, int, ComplexMatrix) - Static method in class jline.util.matrix.ComplexMatrix: Extracts a range of rows from a complex matrix.
extractRows(Matrix, int, int) - Static method in class jline.util.matrix.Matrix: Extracts a range of rows from the matrix [row0:row1).
extractRows(Matrix, int, int, Matrix) - Static method in class jline.util.matrix.Matrix: Extracts a range of rows from the matrix [row0:row1) into a destination matrix.
extractRows(DMatrix, int, int, DMatrix) - Method in class jline.util.matrix.SparseMatrix
extractRowsInPlace(DMatrix, int, int, DMatrix) - Method in class jline.util.matrix.SparseMatrix
extractRowsInPlaceStatic(DMatrix, int, int, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
extractRowsStatic(DMatrix, int, int, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
eye(int) - Static method in class jline.api.mam.TransientQbd
eye(int) - Static method in class jline.lib.kpctoolbox.basic.BasicUtils: Creates an identity matrix.
eye(int) - Static method in class jline.util.matrix.ComplexMatrix: Creates a complex identity matrix of the specified size.
eye(int) - Static method in class jline.util.matrix.Matrix: Creates an identity matrix of given size.

F

f - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
f - Variable in class jline.api.mc.PassageCurve: The density on that grid.
f - Variable in class jline.api.pfqn.nc.PfqnCycletResult: Density on the requested grid.
f - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.BcfitResult
f - Variable in class jline.solvers.QrfParams: The ONE finite-capacity queue, 1-based.
F - Variable in class jline.api.mam.Qbd_rg.QbdRgResult
F - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
F - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem
F - Variable in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
F - Variable in class jline.api.mc.PassageCurve: The cumulative distribution on that grid.
F - Variable in class jline.api.pfqn.nc.PfqnCycletResult: Cumulative distribution on the requested grid.
F - Variable in class jline.api.qsys.QsysWorkloadResult: F[j] = Pr{psi <= t[j]}, the workload CDF.
F - Variable in class jline.api.sn.SnToQrfCapacity.Result: (nstations) occupancy bound of each station, in jobs.
F - Variable in class jline.io.Ret.pfqnProcomom2
F - Variable in class jline.solvers.QrfParams: (M) occupancy bound of each station: its buffer where that binds, else the population.
F1 - Variable in class jline.api.trace.Mtrace_summary.MtraceSummary
F2 - Variable in class jline.api.trace.Mtrace_summary.MtraceSummary
fac - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitResult
fac1 - Variable in class jline.util.ode.Rodas.Options
fac2 - Variable in class jline.util.ode.Rodas.Options
fact() - Method in class jline.util.matrix.Matrix: Computes the factorial of each element in the matrix.
fact(double) - Static method in class jline.util.Maths: Computes the factorial of a double value using the gamma function.
fact(int) - Static method in class jline.util.Maths: Computes the factorial of an integer.
factln() - Method in class jline.util.matrix.Matrix: Computes the natural logarithm of the factorial for each element.
factln(double) - Static method in class jline.api.pfqn.nc.Pfqn_explicit
factln(double) - Static method in class jline.util.Maths: Computes the natural logarithm of the factorial for a double value.
factln(int) - Static method in class jline.util.Maths: Computes the natural logarithm of the factorial.
factln(Matrix) - Static method in class jline.util.matrix.Matrix: Computes the natural logarithm of the factorial (log(x!)) for each element in the input matrix.
factorClass - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
factorial - Variable in class jline.io.Ret.pfqnQlenMoments
factorial(int) - Static method in class jline.lib.lti.abatewhitt
factorial_memo - Static variable in class jline.lib.lti.abatewhitt
factorialMomsFromMoms(Matrix) - Static method in class jline.lib.butools.FactorialMomsFromMoms: Returns the factorial moments given the raw moments.
FactorialMomsFromMoms - Class in jline.lib.butools
factorOthers - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
factors(double[], double[], Matrix[]) - Method in class jline.solvers.fluid.moments.FluidMomentTerms: Per-coordinate service shares at the given closure variance.
factors(double[], double[], Matrix[]) - Method in class jline.solvers.fluid.moments.FluidRateFactors: Per-coordinate service share, before event indexing and before the constant rate factors are applied.
factorStation - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
factorType - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
failed - Variable in class jline.unified.TestResults
failedSolvers - Variable in class jline.bench.BenchmarkRegression.RegressionComparison
failOnConnectionError - Variable in class jline.streaming.StreamingOptions: If true, throw an exception when connection fails instead of falling back to dry-run mode
failOnConnectionError(boolean) - Method in class jline.streaming.StreamingOptions: Set whether to fail on connection error or fall back to dry-run mode.
FAILURE - Enum constant in enum jline.lang.constant.EventType: The server of a station breaks down (goes from up to down).
FAIRNESS - Enum constant in enum jline.lang.constant.HeteroSchedPolicy: Fair distribution across compatible server types.
family - Variable in class jline.solvers.auto.SolverAUTO.AutoToken: The intent, when kind is "intent"; the family name otherwise.
familyAlias(String) - Static method in class jline.solvers.auto.SolverAUTO: Canonical family of a method name, or "" when the method name names none.
familyDeclaringMethod(String) - Method in class jline.solvers.auto.SolverAUTO: Find the family that declares an unqualified algorithm name, by asking each family for its own method list.
familyMetrics(String) - Static method in class jline.solvers.auto.SolverAUTO: The measure groups a method family can answer.
familyNames() - Static method in class jline.solvers.auto.SolverAUTO: Method families, in the order in which an unqualified method name is looked up.
fanIn - Variable in class jline.lang.nodeparam.JoinNodeParam: Fan-in ratio specifying expected number of parallel tasks per job class
fanInSource - Variable in class jline.lang.layered.Task
fanInValue - Variable in class jline.lang.layered.Task
fanout - Variable in class jline.io.Ret.FJApprox
fanout - Variable in class jline.lang.layered.LayeredNetworkStruct
fanOut - Variable in class jline.lang.nodeparam.ForkNodeParam: Fan-out ratio specifying the number of parallel tasks created per job.
fanOutDist - Variable in class jline.lang.nodeparam.ForkNodeParam
fanOutLink - Variable in class jline.lang.nodeparam.ForkNodeParam: Variable forking levels, all (nnodes x nclasses) and indexed by DESTINATION NODE rather than link ordinal, so a relink cannot silently permute them.
fanOutMap - Variable in class jline.lang.layered.Task
fanOutProb - Variable in class jline.lang.nodeparam.ForkNodeParam
fastODESolver - Variable in class jline.solvers.SolverOptions.ODESolvers: Fast integrator for non-stiff problems
fastStiffODESolver - Variable in class jline.solvers.SolverOptions.ODESolvers: Fast integrator for stiff problems
fau_delta - Variable in class jline.solvers.SolverOptions.Config: CTMC transient by "fau": occupancy below which a state is dropped from the support.
fau_epsilon - Variable in class jline.solvers.SolverOptions.Config: CTMC transient by "fau": total probability mass the whole horizon may discard.
FAU_MAX_STEPS - Static variable in class jline.api.mc.Ctmc_fau: Default cap on the number of birth steps, so a pathological horizon fails loudly through Ctmc_fau.CtmcFauResult.truncated rather than running forever.
fau_ngrid - Variable in class jline.solvers.SolverOptions.Config: CTMC transient by "fau": number of points of the uniform output grid, used when options.timestep is unset.
FB - Enum constant in enum jline.lang.constant.SchedStrategy: Feedback / Least Attained Service - priority based on attained service (age)
fbc - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitResult
FCFS - Enum constant in enum jline.lang.constant.RemovalPolicy
FCFS - Enum constant in enum jline.lang.constant.SchedStrategy: First Come First Serve - jobs served in order of arrival
fcfsAvailable - Variable in class jline.api.fj.FJ_parallel.FJTsmCapacityResult
fcfsPhaseW - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
FCFSPI - Enum constant in enum jline.lang.constant.SchedStrategy: First Come First Serve Preemptive Independent - higher priority job preempts, preempted job restarts
FCFSPIPRIO - Enum constant in enum jline.lang.constant.SchedStrategy: First Come First Served Preemptive Independent with Priority - FCFSPI with priority classes
FCFSPR - Enum constant in enum jline.lang.constant.SchedStrategy: First Come First Serve Preemptive Resume - higher priority job preempts, preempted job resumes
FCFSPRIO - Enum constant in enum jline.lang.constant.SchedStrategy: First Come First Served with Priority - alias for HOL
FCFSPRPRIO - Enum constant in enum jline.lang.constant.SchedStrategy: First Come First Served Preemptive Resume with Priority - FCFSPR with priority classes
fcr_constraints() - Static method in class jline.examples.java.advanced.FCRegionExamples: Demonstrate FCR with multiple constraint types.
fcr_constraints() - Static method in class jline.examples.java.advanced.FCRegionModel: FCR with multiple constraint types demonstration.
fcr_lincon() - Static method in class jline.examples.java.advanced.FCRegionExamples: Demonstrate linear admission constraints with LDES solver.
fcr_lincon(double[][], double[]) - Static method in class jline.examples.java.advanced.FCRegionModel: Open loss network with general linear admission constraints.
fcr_lossn() - Static method in class jline.examples.java.advanced.FCRegionExamples: Demonstrate loss network analysis with NC solver.
fcr_lossn() - Static method in class jline.examples.java.advanced.FCRegionModel: Loss network with FCR (for NC solver lossn method).
fcr_mm1kdrop() - Static method in class jline.examples.java.advanced.FCRegionExamples: Compare FCR dropping with M/M/1/K.
fcr_mm1kdrop() - Static method in class jline.examples.java.advanced.FCRegionModel: M/M/1/K with FCR dropping (K=3).
fcr_mm1waitq() - Static method in class jline.examples.java.advanced.FCRegionExamples: Compare FCR blocking with standard M/M/1.
fcr_mm1waitq() - Static method in class jline.examples.java.advanced.FCRegionModel: Simple M/M/1 with FCR blocking.
fcr_oqndrop() - Static method in class jline.examples.java.advanced.FCRegionExamples: Run the multiclass FCR dropping example.
fcr_oqndrop() - Static method in class jline.examples.java.advanced.FCRegionModel: Multiclass open network with FCR dropping.
fcr_oqnwaitq() - Static method in class jline.examples.java.advanced.FCRegionExamples: Run the multiclass FCR blocking example.
fcr_oqnwaitq() - Static method in class jline.examples.java.advanced.FCRegionModel: Multiclass open network with FCR blocking.
FCRegionExamples - Class in jline.examples.java.advanced: Examples demonstrating Finite Capacity Region (FCR) usage.
FCRegionExamples() - Constructor for class jline.examples.java.advanced.FCRegionExamples
FCRegionModel - Class in jline.examples.java.advanced: Examples of models with Finite Capacity Regions (FCR).
FCRegionModel() - Constructor for class jline.examples.java.advanced.FCRegionModel
FCRMemOcc - Enum constant in enum jline.lang.constant.MetricType
FCRWeight - Enum constant in enum jline.lang.constant.MetricType
fdFloor - Variable in class jline.api.infer.InferLqnOptions
fdRefresh - Variable in class jline.opt.solver.LineOptSolverOptions: partial_plus_fd full finite-difference correction period.
fdStep - Variable in class jline.api.infer.InferLqnOptions
fdStep - Variable in class jline.opt.solver.LineOptSolverOptions
fdStepLayered - Variable in class jline.opt.solver.LineOptSolverOptions: Step for a differencing that RE-SOLVES a LayeredNetwork: the SolverLN fixed point is smooth only above its own noise floor, which LineOptSolverOptions.penaltyWeight amplifies by 1e6.
feasible - Variable in class jline.opt.pareto.ParetoPoint
feasible - Variable in class jline.opt.results.EvaluationResult
feasible - Variable in class jline.opt.results.OptimizationResult
feasibleBackwardMoments - Variable in class jline.api.mam.Mamap2m_fit_fb_multiclass.FitResult
feasibleForwardMoments - Variable in class jline.api.mam.Mamap2m_fit_fb_multiclass.FitResult
feasibleStart(double[][], double[], double[][], double[], int) - Static method in class jline.api.mapqn.Mapqn_nlp_solver: A point of the polytope Aeq x = beq, Aub x <= bub, lb <= x <= ub nearest to x0.
featSupported - Variable in class jline.solvers.ctmc.SolverCTMC.SupportResult
featureNames() - Method in class jline.lang.FeatureSet: Returns the canonical registry of feature names (all features, enabled or not).
FeatureSet - Class in jline.lang: Class representing the features of a particular solver
FeatureSet() - Constructor for class jline.lang.FeatureSet: Creates a new FeatureSet with all features initialized to false.
featUsed - Variable in class jline.solvers.ctmc.SolverCTMC.SupportResult
fes - Variable in class jline.api.fes.FesMapAggregateResult: Service process of the flow-equivalent server, index k-1 holding k jobs.
fes_aggregation() - Static method in class jline.examples.java.advanced.LoadDependentExamples: Flow-equivalent-server aggregation of a two-class tandem (fes_aggregation).
fes_aggregation() - Static method in class jline.examples.java.advanced.LoadDependentModel: The two-class tandem of `fes_aggregation`, N = (3, 2).
fes_map_aggregate(List<MatrixCell>, double[], int) - Static method in class jline.api.fes.Fes_map_aggregate: Aggregates a subnetwork on the default population grid.
fes_map_aggregate(List<MatrixCell>, double[], int, int[], String) - Static method in class jline.api.fes.Fes_map_aggregate: Aggregates a subnetwork.
Fes_map_aggregate - Class in jline.api.fes: Aggregates a subnetwork into a load-dependent MAP flow-equivalent server that reproduces mean, variability and burstiness of its output.
fes_map_deaggregate(double[], double[], double[], boolean[]) - Static method in class jline.api.fes.Fes_map_deaggregate
Fes_map_deaggregate - Class in jline.api.fes: Recovers the per-station metrics of an aggregated subnetwork by conditioning on the population held by the flow-equivalent server.
fes_map_euler(Matrix, Matrix, double, double, int) - Static method in class jline.api.fes.Fes_map_euler: Approximates v*(-T0)^-1 by quadrature.
Fes_map_euler - Class in jline.api.fes: Integrates v*int_0^inf exp(T0 t) dt by the trapezoid rule.
fes_map_grid(int) - Static method in class jline.api.fes.Fes_map_grid: Returns the default grid for a largest population n.
fes_map_grid(int, int, int) - Static method in class jline.api.fes.Fes_map_grid: Returns the grid for a largest population n.
Fes_map_grid - Class in jline.api.fes: Returns the population levels at which the inter-departure MAP is evaluated.
fes_map_interdeparture(List<MatrixCell>, List<MatrixCell>, int) - Static method in class jline.api.fes.Fes_map_interdeparture: Builds the inter-departure MAP of a subnetwork holding n jobs.
Fes_map_interdeparture - Class in jline.api.fes: Builds the MAP (T0,T1) of the inter-departure times of a closed subnetwork made of one MAP station and one MAP flow-equivalent server.
fes_map_interp(double[], double[], double[]) - Static method in class jline.api.fes.Fes_map_interp: Interpolates one series at the query abscissae.
Fes_map_interp - Class in jline.api.fes: Monotone piecewise cubic Hermite interpolation.
fes_map_levels(List<MatrixCell>, int) - Static method in class jline.api.fes.Fes_map_levels: Validates a load dependent descriptor and returns its first n levels.
fes_map_levels(MatrixCell, int) - Static method in class jline.api.fes.Fes_map_levels: Replicates a load independent MAP over n levels.
fes_map_levels(MatrixCell, int, double) - Static method in class jline.api.fes.Fes_map_levels: Replicates a load independent MAP over n levels, scaling level k by min(k,mi).
Fes_map_levels - Class in jline.api.fes: Expands a MAP into the per-level processes of a load-dependent server.
fes_map_moments(MatrixCell) - Static method in class jline.api.fes.Fes_map_moments: Computes the descriptors of an inter-departure MAP by sparse linear solves.
fes_map_moments(Matrix, Matrix, String) - Static method in class jline.api.fes.Fes_map_moments: Computes the descriptors of an inter-departure MAP.
fes_map_moments(Matrix, Matrix, String, double) - Static method in class jline.api.fes.Fes_map_moments: Computes the descriptors of an inter-departure MAP.
Fes_map_moments - Class in jline.api.fes: Computes the first three moments, the lag-1 joint moment and the index of dispersion of a MAP without forming (-T0)^-1.
fes_map_solve(List<MatrixCell>, MatrixCell, int) - Static method in class jline.api.fes.Fes_map_solve
Fes_map_solve - Class in jline.api.fes: Solves the reduced model made of a delay and a load-dependent MAP flow-equivalent server.
fes_single_class() - Static method in class jline.examples.java.advanced.LoadDependentExamples: Flow-equivalent-server aggregation of a single-class tandem (fes_single_class).
fes_single_class() - Static method in class jline.examples.java.advanced.LoadDependentModel: The single-class tandem of `fes_single_class`, N = 5.
fes_tandem(String, String, double, double, double[], double[], double[], double[], String[]) - Static method in class jline.examples.java.advanced.LoadDependentModel: The 4-station tandem the `fes_*` and `ld_fes_*` scripts aggregate.
FESAggregator - Class in jline.api.fes: Deprecated.
Use jline.lang.ModelAdapter.aggregateFES() for public API
FESAggregator.ConditionalMetrics - Class in jline.api.fes: Deprecated.

Per-population queue lengths and utilizations of the isolated subnetwork.
FesBetaFunction - Class in jline.api.fes: Wraps a flow-equivalent-server (FES) throughput table as a per-class class-dependence function beta_{i,r}(n).
FesBetaFunction(List<Matrix>, Matrix) - Constructor for class jline.api.fes.FesBetaFunction: Creates a per-class FES rate function.
FESDeaggInfo - Class in jline.api.fes: Information needed to deaggregate FES results back to original model.
FESDeaggInfo(Network, List<Station>, int[], int[], List<Matrix>, Matrix, Matrix, Matrix, Network, int) - Constructor for class jline.api.fes.FESDeaggInfo
FesMapAggregateResult - Class in jline.api.fes: The load-dependent MAP that replaces an aggregated subnetwork, with the descriptors it was fitted from.
FesMapAggregateResult(List<MatrixCell>, double[], double[][], int[], int[]) - Constructor for class jline.api.fes.FesMapAggregateResult
FesMapDeaggregateResult - Class in jline.api.fes: Metrics of the stations an aggregate stands for, recovered by conditioning on its population.
FesMapDeaggregateResult(double[], double[], double[], double[]) - Constructor for class jline.api.fes.FesMapDeaggregateResult
FesMapMomentsResult - Class in jline.api.fes: Moments and index of dispersion of an inter-departure MAP.
FesMapMomentsResult(double, double, double, double, double) - Constructor for class jline.api.fes.FesMapMomentsResult
FesMapSolveResult - Class in jline.api.fes: System metrics of the closed model made of a delay and a MAP flow-equivalent server.
FesMapSolveResult(double, double, double, double[]) - Constructor for class jline.api.fes.FesMapSolveResult
fesModel - Variable in class jline.api.fes.FESResult: New Network with FES replacing the subset.
fesNodeIdx - Variable in class jline.api.fes.FESDeaggInfo
FESOptions - Class in jline.api.fes: Options for Flow-Equivalent Server (FES) aggregation.
FESOptions() - Constructor for class jline.api.fes.FESOptions
FESOptions(String, Matrix, boolean) - Constructor for class jline.api.fes.FESOptions
fesRateCurve(double, double, int) - Static method in class jline.examples.java.advanced.RandomEnvironmentModel: `renv_container_terminal.m`: Norton flow-equivalent rates, the throughput of the isolated internal subnetwork (quay cranes -> stacking cranes, both processor sharing) at n = 1..N containers, with the rest of the terminal short-circuited by a near-instantaneous delay.
FESResult - Class in jline.api.fes: Result of Flow-Equivalent Server (FES) aggregation.
FESResult(Network, Queue, FESDeaggInfo) - Constructor for class jline.api.fes.FESResult
fesStation - Variable in class jline.api.fes.FESResult: Reference to the FES Queue station.
FI - Enum constant in enum jline.lib.butools.mam.GM1FundamentalMatrix.GM1Method
FI - Enum constant in enum jline.lib.butools.mam.MG1FundamentalMatrix.MG1Method
field() - Method in class jline.util.symbolic.SymContext
FIFO - Enum constant in enum jline.lang.constant.DepartureDiscipline
FIFO - Enum constant in enum jline.lang.constant.ReplacementStrategy
FIFO - Static variable in class jline.api.pfqn.Pfqn_mwrbb: Discipline codes for the sched argument.
FILE_FORMAT - Static variable in class jline.solvers.wrappers.jmt.SolverJMT
fileName - Variable in class jline.lang.nodeparam.LoggerNodeParam: List of output file names for different logging streams
fileName - Variable in class jline.lang.nodeparam.ReplayerNodeParam: List of trace file names to replay
fileName - Variable in class jline.lang.nodeparam.ServiceNodeParam: List of file names or identifiers for external service definitions
fileName - Variable in class jline.lang.nodes.Logger
filePath - Variable in class jline.lang.nodeparam.LoggerNodeParam: Base file path for logger output files
filePath - Variable in class jline.lang.nodeparam.ReplayerNodeParam: Base file path for trace files
filePath - Variable in class jline.lang.nodes.Logger
fill(double) - Method in class jline.util.matrix.Matrix: Fills all entries in the matrix with the given value.
fillMatrix(double) - Method in class jline.util.matrix.BaseMatrix: Fills the matrix with the specified value.
fillMatrix(double) - Method in class jline.util.matrix.DenseMatrix
fillMatrix(double) - Method in class jline.util.matrix.SparseMatrix
fillMatrixStatic(DMatrix, double) - Static method in class jline.util.matrix.DenseMatrix
fillMatrixStatic(DMatrix, double) - Static method in class jline.util.matrix.SparseMatrix
filterEvents(int, EventType) - Method in class jline.io.Ret.SampleResult: Returns a boolean mask selecting the events of the given type that occur at the given node.
finalObjective - Variable in class jline.opt.results.WorkflowResult
finalQ - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
finalT - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
finalU - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
finalVariableValues - Variable in class jline.opt.results.WorkflowResult
find() - Method in class jline.util.matrix.Matrix: Returns the linear indices of all non-zero elements in the matrix.
findBindingCapacity() - Method in class jline.lang.Network: The first station whose finite capacity can actually BIND, or a result whose binds is false when no buffer in the model can refuse a job.
findCC(int, boolean[], Set<Integer>) - Method in class jline.util.graph.UndirectedGraph
findImage() - Static method in class jline.api.sym.SymEngines
findIndexWithZeroSum(Matrix, boolean) - Static method in class jline.util.matrix.Matrix: Finds the indices of all rows or columns in a matrix that have a sum of zero.
findLeastProbableBranch(Wf_branch_detector.BranchPattern) - Static method in class jline.api.wf.Wf_branch_detector
findMarginalProbs(double, int, Matrix, int, String) - Static method in class jline.api.pfqn.mva.Pfqn_ab_amva
findMarkovianRepresentation(List<Matrix>, BiFunction<List<Matrix>, Matrix, List<Matrix>>, BiFunction<List<Matrix>, Integer, Double>) - Static method in class jline.lib.butools.reptrans.FindMarkovianRepresentation
findMarkovianRepresentation(List<Matrix>, BiFunction<List<Matrix>, Matrix, List<Matrix>>, BiFunction<List<Matrix>, Integer, Double>, double) - Static method in class jline.lib.butools.reptrans.FindMarkovianRepresentation: Obtains a Markovian representation from a non-Markovian one while keeping the size the same, by applying a series of elementary transformations.
findMarkovianRepresentation(List<Matrix>, FindMarkovianRepresentation.TransFun, FindMarkovianRepresentation.EvalFun, double) - Static method in class jline.lib.butools.reptrans.FindMarkovianRepresentation: Overload accepting Java functional-interface flavors of the arguments.
FindMarkovianRepresentation - Class in jline.lib.butools.reptrans
FindMarkovianRepresentation.EvalFun - Interface in jline.lib.butools.reptrans: Evaluation function returning distance from Markovian representation.
FindMarkovianRepresentation.TransFun - Interface in jline.lib.butools.reptrans: Transformation function applied to a representation.
findMethod() - Method in class jline.lang.layered.LayeredNetwork: Alias of LayeredNetwork.findSolver().
findMethod() - Method in class jline.lang.Network: Alias of Network.findSolver(): which solvers and solver methods can analyze this model.
findMethod(String, boolean) - Method in class jline.lang.layered.LayeredNetwork: Alias of LayeredNetwork.findSolver(String, boolean).
findMethod(String, boolean) - Method in class jline.lang.Network: Alias of Network.findSolver(String, boolean).
findMostProbableBranch(Wf_branch_detector.BranchPattern) - Static method in class jline.api.wf.Wf_branch_detector
findNodeFailure(String) - Method in class jline.lang.Environment: Finds the node-failure descriptor for a node.
findNonNegative() - Method in class jline.util.matrix.BaseMatrix: Returns a matrix containing indices of all non-negative elements.
findNonNegative() - Method in class jline.util.matrix.DenseMatrix
findNonNegative() - Method in class jline.util.matrix.Matrix: Returns the linear indices of all elements that are non-negative (≥ 0).
findNonNegative() - Method in class jline.util.matrix.SparseMatrix: Returns a matrix containing indices of all non-negative elements.
findNonZeroRowsInColumn(int) - Method in class jline.util.matrix.Matrix: Finds all row indices in a given column where the value is non-zero.
findNumber(double) - Method in class jline.util.matrix.Matrix: Finds all linear indices where the matrix has a specific value.
findPaths(NetworkStruct, Matrix, int, int, int, ArrayList<Integer>, Matrix, Matrix, double, Matrix, Matrix, Network) - Static method in class jline.lang.ModelAdapter: Finds the response times along each path leading out of startNode up to (and not including) endNode
findPaths(NetworkStruct, Matrix, int, int, int, ArrayList<Integer>, Matrix, Matrix, double, Matrix, Matrix, Network, Set<Integer>) - Static method in class jline.lang.ModelAdapter: Simple paths only; see the ONPATH note on findPathsCS.
findPathsCS(NetworkStruct, Matrix, int, int, int, ArrayList<Integer>, Matrix, Matrix, double, Matrix, Matrix, Network) - Static method in class jline.lang.ModelAdapter: Finds the response times along each path leading out of curNode up to (and not including) endNode Variant for models with class switching
findPathsCS(NetworkStruct, Matrix, int, int, int, ArrayList<Integer>, Matrix, Matrix, double, Matrix, Matrix, Network, Set<Long>) - Static method in class jline.lang.ModelAdapter: Enumerates the SIMPLE paths only: the call classes carry a geometric loop (server -> Aux -> server) whenever a call mean exceeds one, so the routing graph between a fork and its join is cyclic and the path set would be infinite without ONPATH.
findRow(String) - Method in class jline.solvers.NetworkMomentStationTable: Returns the index of the row for a station, or -1 if absent.
findRow(String, String) - Method in class jline.solvers.NetworkMomentChainTable: Returns the index of the row for a (station, chain) pair, or -1 if absent.
findRow(String, String) - Method in class jline.solvers.NetworkMomentTable: Returns the index of the row for a (station, class) pair, or -1 if absent.
findRow(String, String) - Method in class jline.solvers.NetworkSensitivityTable: Returns the index of the row for a (station, class) pair, or -1 if absent.
findRow(String, String, String) - Method in class jline.solvers.LayeredNetworkSensitivityTable: Returns the index of the row for a (layer, station, class) triple, or -1 if absent.
findRows(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Finds the indices of all rows in a matrix that exactly match a given row vector.
findSolver() - Method in class jline.lang.layered.LayeredNetwork: Which solvers and solver methods can analyze THIS layered model.
findSolver() - Method in class jline.lang.Network: Which solvers and solver methods can analyze THIS model.
findSolver() - Method in class jline.solvers.auto.SolverAUTO: Which solvers and solver methods can analyze this model: the runnable pairs, for every measure.
findSolver(String, boolean) - Method in class jline.lang.layered.LayeredNetwork: Which solvers and solver methods can analyze this layered model, narrowed to one measure and optionally including the refused pairs.
findSolver(String, boolean) - Method in class jline.lang.Network: Which solvers and solver methods can analyze this model, narrowed to one measure and optionally including the refused pairs.
findSolver(String, boolean) - Method in class jline.solvers.auto.SolverAUTO: Which solvers and solver methods can analyze this model, and for the ones that cannot, why not.
findSolverLayered(LayeredNetwork, String, boolean) - Static method in class jline.solvers.auto.SolverAUTO: findSolver for a LayeredNetwork, which this class does not otherwise solve: its constructor takes a Network, and buildFamilySolver says so.
findStageByName(String) - Method in class jline.lang.Environment: Finds the stage index by name.
findString(Map<Integer, String>, String) - Static method in class jline.util.Utils: Finds the key corresponding to a target string value in a map.
findZero() - Method in class jline.util.matrix.Matrix: Finds all linear indices where the matrix value is zero.
FINE_TOL - Static variable in class jline.solvers.fluid.petri.PetriClosures: The band inside which two arguments are treated as equal at zero variance.
FineTol - Static variable in class jline.GlobalConstants: Fine tolerance for precise comparisons (1e-8)
finish() - Method in class jline.solvers.EnsembleSolver
finish() - Method in class jline.solvers.env.SolverENV
finish() - Method in class jline.solvers.ln.SolverLN
finish() - Method in class jline.solvers.uq.SolverUQ
finiteCapacityReason(Network, NetworkStruct) - Static method in class jline.solvers.mva.SolverMVA: The solver-level form of SolverMVA.finiteCapacityReason(Network, NetworkStruct, String), answered as the default method, as MATLAB answers it when supportsFiniteCapacity is called with no method.
finiteCapacityReason(Network, NetworkStruct, String) - Static method in class jline.solvers.mva.SolverMVA: MVA-specific finite-capacity gate, asked of the METHOD as well as of the model.
fire - Variable in class jline.api.spn.Spn_lpbnd.SpnLpMode
fire - Variable in class jline.api.spn.Spn_mdd.SpnMode: Firing outcome per place level.
FIRE - Enum constant in enum jline.lang.constant.EventType
fireweight - Variable in class jline.lang.nodeparam.TransitionNodeParam
firing - Variable in class jline.lang.nodeparam.TransitionNodeParam
Firing - Class in jline.lang.sections: Output section that models the process of firing for a transition in a Stochastic Petri net model
Firing(List<JobClass>) - Constructor for class jline.lang.sections.Firing
FIRING - Enum constant in enum jline.lang.constant.RoutingStrategy: Firing routing - used for transitions in Petri net models
firingdep - Variable in class jline.lang.nodeparam.TransitionNodeParam
firingOutcomes - Variable in class jline.lang.nodes.Transition
firingphases - Variable in class jline.lang.nodeparam.TransitionNodeParam
firingpie - Variable in class jline.lang.nodeparam.TransitionNodeParam
firingprio - Variable in class jline.lang.nodeparam.TransitionNodeParam
firingPriorities - Variable in class jline.lang.nodes.Transition
firingproc - Variable in class jline.lang.nodeparam.TransitionNodeParam
firingprocid - Variable in class jline.lang.nodeparam.TransitionNodeParam
firingRateDependence - Variable in class jline.lang.nodes.Transition
firingWeights - Variable in class jline.lang.nodes.Transition
first - Variable in class jline.api.mam.Amap2_fit_gamma.Triple
first - Variable in class jline.api.mam.Mamap2m_coefficients.Mamap2mCoefficients
first - Variable in class jline.lib.kpctoolbox.smp.DET.Triple
firstNorm(Matrix) - Static method in class jline.util.matrix.Matrix: Computes the 1-norm (maximum absolute column sum) of the matrix.
FirstOrderSystem(double[], double) - Method in class odesolver.LSODA
FirstPassageMomentsResult() - Constructor for class jline.solvers.ctmc.SolverCTMC.FirstPassageMomentsResult
FirstPassageResult() - Constructor for class jline.solvers.ctmc.SolverCTMC.FirstPassageResult
fit(double, double, double) - Static method in class jline.lang.processes.APH
fit(ContinuousDistribution, String) - Static method in class jline.lang.processes.HyperExp: Fit a hyperexponential to the ccdf of dist ITSELF at points spread over decades of time scale, rather than to its moments (HyperexpFitLongtail, Feldmann and Whitt 1998).
fit(Matrix) - Static method in class jline.lib.kpctoolbox.MMPP2
fit(Matrix, double) - Static method in class jline.lib.kpctoolbox.MMPP2
fit1(Matrix) - Static method in class jline.lib.kpctoolbox.MMPP2
fit2(Matrix, double) - Static method in class jline.lib.kpctoolbox.MMPP2
fit3(Matrix, double, double) - Static method in class jline.lib.kpctoolbox.MMPP2
fitAPH() - Method in class jline.lang.processes.Replayer
fitCentral(double, double, double) - Static method in class jline.lang.processes.APH
fitCentral(double, double, double) - Static method in class jline.lang.processes.Cox2
fitCentral(double, double, double) - Static method in class jline.lang.processes.Coxian
fitCentralAndACFDecay(double, double, double, double) - Static method in class jline.lang.processes.MAP: Fit MAP from central moments and autocorrelation function decay.
fitCentralAndACFDecay(double, double, double, double) - Static method in class jline.lang.processes.MMPP2
fitCentralAndACFLag1(double, double, double, double) - Static method in class jline.lang.processes.MMPP2
fitCentralAndIDC(double, double, double, double) - Static method in class jline.lang.processes.MMPP2
fitMean(double) - Static method in class jline.lang.processes.Cox2
fitMean(double) - Static method in class jline.lang.processes.Det: Creates a deterministic distribution with the specified mean value.
fitMean(double) - Static method in class jline.lang.processes.Exp: Creates an exponential distribution fitted to the specified mean.
fitMean(double) - Static method in class jline.lang.processes.Normal
fitMeanAndOrder(double, long) - Static method in class jline.lang.processes.Erlang: Creates an Erlang distribution fitted to the specified mean and number of phases.
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.APH
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.CME: Creates the lowest-order CME with the given mean whose SCV is at most the target.
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.Cox2
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.Coxian
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.Erlang: Creates an Erlang distribution fitted to the specified mean and squared coefficient of variation.
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.Gamma
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.HyperExp
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.Lognormal
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.MEFit: Fits a matrix exponential with the given mean and SCV, without a phase budget.
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.Pareto
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.RAP: Creates a RAP by fitting the given mean and squared coefficient of variation (SCV).
fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.Weibull
fitMeanAndSCV(double, double, double) - Static method in class jline.lang.processes.Coxian
fitMeanAndSCV(double, double, int) - Static method in class jline.lang.processes.MEFit: Fits a matrix exponential with the given mean and SCV.
fitMeanAndSCVBalanced(double, double) - Static method in class jline.lang.processes.HyperExp: Fit distribution with given squared coefficient of variation and balanced means i.e., p/mu1 = (1-p)/mu2
fitMeanAndStd(double, double) - Static method in class jline.lang.processes.Normal
fitMeanAndStdDev(double, double) - Static method in class jline.lang.processes.Erlang: Creates an Erlang distribution fitted to the specified mean and standard deviation.
fitMeanAndVar(double, double) - Static method in class jline.lang.processes.Normal
fitMoments(double[]) - Static method in class jline.lang.processes.ME: Creates an ME distribution by fitting the given moments.
fitMoments(double[]) - Static method in class jline.lang.processes.RAP: Creates a RAP by fitting the given moments.
fitMomentsAndCorrelations(double[], double[]) - Static method in class jline.lang.processes.RAP: Creates a RAP by fitting the given moments and correlations.
fitRate(double) - Static method in class jline.lang.processes.Exp: Creates an exponential distribution fitted to the specified rate.
fitRawMoments(double, double, double) - Static method in class jline.lang.processes.APH: Fits an APH distribution from the first three raw moments.
fitRawMomentsAndACFDecay(double, double, double, double) - Static method in class jline.lang.processes.MAP: Fit MAP from raw moments and autocorrelation function decay.
fitRawMomentsAndACFDecay(double, double, double, double) - Static method in class jline.lang.processes.MMPP2
fitRawMomentsAndACFLag1(double, double, double, double) - Static method in class jline.lang.processes.MMPP2
fitRawMomentsAndIDC(double, double, double, double) - Static method in class jline.lang.processes.MMPP2
FitResult(MatrixCell, double[], double[]) - Constructor for class jline.api.mam.Mamap2m_fit_fb_multiclass.FitResult
fixedPoint() - Method in class jline.lib.rmf.CacheFIFORMF
fixedPoint() - Method in class jline.lib.rmf.CacheRMF: Compute mean field fixed point with default tmax=10000.
fixedPoint() - Method in class jline.lib.rmf.CacheSFIFORMF
fixedPoint(double) - Method in class jline.lib.rmf.CacheFIFORMF: Mean-field fixed point by integrating dx/dt = F(x) to steady state.
fixedPoint(double) - Method in class jline.lib.rmf.CacheRMF: Compute mean field fixed point by ODE integration.
fixedPoint(double) - Method in class jline.lib.rmf.CacheSFIFORMF: Compute the mean-field fixed point by integrating dx/dt = F(x) to steady state with LSODA.
fixedPointGraph() - Method in class jline.lib.rmf.CachePosGraphRMF
fixedPointGraph() - Method in class jline.lib.rmf.CacheRMF
fixedPointGraph(double) - Method in class jline.lib.rmf.CachePosGraphRMF: Fixed point of the general drift from a cold (empty) cache.
fixedPointGraph(double) - Method in class jline.lib.rmf.CacheRMF: Plain mean-field fixed point of the general (accost-aware) drift by LSODA integration.
fixedValues - Variable in class jline.opt.decomposition.SubProblem
fj - Variable in class jline.lang.NetworkStruct
fj_amva(double[], int[], int) - Static method in class jline.api.fj.FJ_closed
fj_amva(double[], int[], int, double) - Static method in class jline.api.fj.FJ_closed: Population-by-population mean value analysis of a closed network of fork-join subnetworks.
fj_asymm() - Static method in class jline.examples.java.basic.ForkJoinExamples: Asymmetric fork-join network (fj_asymm.ipynb).
fj_asymm() - Static method in class jline.examples.java.basic.ForkJoinModel: Asymmetric closed fork-join network with serial queues.
fj_auxiliary_delays - Variable in class jline.io.Ret.FJApprox
fj_basic_closed() - Static method in class jline.examples.java.basic.ForkJoinExamples: Basic closed fork-join network (fj_basic_closed.ipynb).
fj_basic_closed() - Static method in class jline.examples.java.basic.ForkJoinModel
fj_basic_nesting() - Static method in class jline.examples.java.basic.ForkJoinExamples: Basic nested fork-join network (fj_basic_nesting.ipynb).
fj_basic_nesting() - Static method in class jline.examples.java.basic.ForkJoinModel: Complex closed fork-join network with nested fork-join structures.
fj_basic_open() - Static method in class jline.examples.java.basic.ForkJoinExamples: Basic open fork-join network (fj_basic_open.ipynb).
fj_basic_open() - Static method in class jline.examples.java.basic.ForkJoinModel: Basic open fork-join network with single class.
fj_bounds(int, double, double) - Static method in class jline.api.fj.FJ_bounds: Compute upper and lower bounds for K-way F/J response time.
FJ_bounds - Class in jline.api.fj
FJ_bounds.FJBoundsResult - Class in jline.api.fj: Result container for Fork-Join bounds.
FJ_char_max - Class in jline.api.fj
fj_char_max_blom(int) - Static method in class jline.api.fj.FJ_charmax_ext
fj_char_max_blom(int, DoubleUnaryOperator, double, double) - Static method in class jline.api.fj.FJ_charmax_ext: Blom-corrected plotting position for the characteristic maximum, m_K = F^-1( (K - alpha) / (K - alpha - beta + 1) ), which for alpha = beta = 0 falls back on the naive K/(K+1).
fj_char_max_discrete(int, FJ_charmax_ext.DiscreteDist, double) - Static method in class jline.api.fj.FJ_charmax_ext: Gravey's characteristic maximum for a lattice law.
fj_char_max_erlang(int, int, double) - Static method in class jline.api.fj.FJ_char_max: Characteristic maximum M_K for Erlang-k distribution.
fj_char_max_exp(int, double) - Static method in class jline.api.fj.FJ_char_max: Characteristic maximum M_K for exponential distribution.
FJ_charmax_ext - Class in jline.api.fj
FJ_charmax_ext.DiscreteDist - Enum in jline.api.fj: The lattice laws whose characteristic maximum is closed.
FJ_charmax_ext.FJCharMaxBlomResult - Class in jline.api.fj: [mK, lo, hi] of fj_char_max_blom; the bracket is the standard normal one.
FJ_charmax_ext.FJCharMaxDiscreteResult - Class in jline.api.fj: [MK, mK, exact] of fj_char_max_discrete.
FJ_closed - Class in jline.api.fj
FJ_closed.FJAmvaResult - Class in jline.api.fj: [R, Q, X, U] of fj_amva.
FJ_closed.FJQgbResult - Class in jline.api.fj: [Q, y] of fj_qgb: the bounded queue lengths and the geometric ratios.
FJ_closed.FJResptClosedResult - Class in jline.api.fj: [R, exact] of fj_respt_closed.
fj_complex_serial() - Static method in class jline.examples.java.basic.ForkJoinExamples: Complex serial fork-join network (fj_complex_serial.ipynb).
fj_complex_serial() - Static method in class jline.examples.java.basic.ForkJoinModel: Complex closed fork-join with serial processing within branches.
fj_cox_fit(double, double) - Static method in class jline.api.fj.FJ_maxima: Marie's balanced-stage fit of a two-stage Coxian law to a target mean and squared coefficient of variation: requiring 1/mu1 = q/mu2 closes the system of two moment equations in three unknowns and gives mu1 = 2 mu, q = 1/(2 c2), mu2 = mu/c2, which needs c2 >= 0.5.
fj_cs_multi_visits() - Static method in class jline.examples.java.basic.ForkJoinExamples: Fork-join with class switching and multiple visits (fj_cs_multi_visits.ipynb).
fj_cs_multi_visits() - Static method in class jline.examples.java.basic.ForkJoinModel: Open fork-join with feedback loop and class switching.
fj_cs_postfork() - Static method in class jline.examples.java.basic.ForkJoinExamples: Fork-join with post-fork class switching (fj_cs_postfork.ipynb).
fj_cs_postfork() - Static method in class jline.examples.java.basic.ForkJoinModel: Closed fork-join network with class switching after fork (post-fork).
fj_cs_prefork() - Static method in class jline.examples.java.basic.ForkJoinExamples: Fork-join with pre-fork class switching (fj_cs_prefork.ipynb).
fj_cs_prefork() - Static method in class jline.examples.java.basic.ForkJoinModel: Fork-join network with class switching demonstration.
fj_dag_makespan(boolean[][], double[][]) - Static method in class jline.api.fj.FJ_parallel: Makespan of a task system with precedence constraints.
fj_deep_nesting() - Static method in class jline.examples.java.basic.ForkJoinExamples: Deep nested fork-join network (fj_deep_nesting.ipynb).
fj_deep_nesting() - Static method in class jline.examples.java.basic.ForkJoinModel
fj_delay_opt(int[], double[]) - Static method in class jline.api.fj.FJ_dispersion
fj_delay_opt(int[], double[], int, double, int) - Static method in class jline.api.fj.FJ_dispersion: The deterministic delays that minimise the mean dispersion.
fj_delays() - Static method in class jline.examples.java.basic.ForkJoinExamples: Fork-join with multiple delay stages (fj_delays.ipynb).
fj_delays() - Static method in class jline.examples.java.basic.ForkJoinModel: Closed fork-join network with two delays and two parallel queues.
fj_dispersion(int[], double[]) - Static method in class jline.api.fj.FJ_dispersion
fj_dispersion(int[], double[], double[], double, int) - Static method in class jline.api.fj.FJ_dispersion: Mean subtask dispersion of a split-merge system whose branches are shifted Erlangs, the equivalent used in the delay-scheduling construction: E[D_d] = integral_0^inf [ 1 - prod_i F_i(x-d_i) - prod_i (1-F_i(x-d_i)) ] dx.
FJ_dispersion - Class in jline.api.fj
FJ_dispersion.FJDelayOptResult - Class in jline.api.fj: [d, Edisp, Emax] of fj_delay_opt.
FJ_dispersion.FJDispersionResult - Class in jline.api.fj: [Edisp, Emax, Emin] of fj_dispersion.
fj_gk_bound(int) - Static method in class jline.api.fj.FJ_order_stat
fj_gk_bound(int, String) - Static method in class jline.api.fj.FJ_order_stat: Compute G(K) factors for expected maximum approximation.
fj_gk_bound_all(int) - Static method in class jline.api.fj.FJ_order_stat: Compute all G(K) bound factors.
fj_harmonic(int) - Static method in class jline.api.fj.FJ_harmonic: Compute Harmonic sum H_K = sum(1/k) for k=1 to K.
fj_harmonic(int) - Static method in class jline.api.fj.FJ_xmax
FJ_harmonic - Class in jline.api.fj
fj_ism_green(double, double, int, double[]) - Static method in class jline.api.fj.FJ_parallel: Green's independent server model: a customer needs j servers at once with probability c(j) and releases them asynchronously as each of its j tasks completes at rate mu, so its own service is the maximum of j exponentials.
fj_lst_max_het(double[], double) - Static method in class jline.api.fj.FJ_maxima: Laplace-Stieltjes transform of the maximum of heterogeneous exponentials, by the Harrison-Zertal recurrence ( s + sum_{j=1..m} lambda_j ) L*_m = sum_{j=1..m} lambda_j L*_{m-1}(lambda \ j), anchored at L*_0 = 1 because the maximum of an empty collection is zero.
FJ_maxima - Class in jline.api.fj
FJ_maxima.FJCoxFitResult - Class in jline.api.fj: [mu1, mu2, q, kmin, kmax] of fj_cox_fit.
FJ_maxima.FJXmaxCoxianResult - Class in jline.api.fj: [Xmax, m1, c2] of fj_xmax_coxian.
fj_mg1_respt_moments(double, double, double, double) - Static method in class jline.api.fj.FJ_tail_forktail: Mean and variance of the M/G/1 FCFS response time, the white-box inputs of ForkTail, from the first three moments of the service time.
fj_mixed_openclosed() - Static method in class jline.examples.java.basic.ForkJoinModel: Fork-join traversed by an open AND a closed class at once.
fj_nojoin() - Static method in class jline.examples.java.basic.ForkJoinExamples: Fork without join synchronization (fj_nojoin.ipynb).
fj_nojoin() - Static method in class jline.examples.java.basic.ForkJoinModel: Open fork-join network without explicit join node.
FJ_order_stat - Class in jline.api.fj
fj_order_stat_cdf(double, int, int) - Static method in class jline.api.fj.FJ_order_stat: CDF of k-th order statistic of K i.i.d.
fj_order_stat_expected_max(int, DoubleUnaryOperator, double) - Static method in class jline.api.fj.FJ_order_stat: Expected value of the maximum of K i.i.d.
fj_order_stat_expected_min(int, DoubleUnaryOperator, double) - Static method in class jline.api.fj.FJ_order_stat: Expected value of the minimum of K i.i.d.
fj_ordstat_exp(double[], int) - Static method in class jline.api.fj.FJ_ordstat_exp
fj_ordstat_exp(Matrix, int) - Static method in class jline.api.fj.FJ_ordstat_exp
FJ_ordstat_exp - Class in jline.api.fj: Mean of the k-th smallest of n independent EXPONENTIAL branch completion times, i.e.
FJ_ordstat_exp() - Constructor for class jline.api.fj.FJ_ordstat_exp
FJ_parallel - Class in jline.api.fj
FJ_parallel.FJDagMakespanResult - Class in jline.api.fj: [C, I, Cend, E] of fj_dag_makespan.
FJ_parallel.FJIsmGreenResult - Class in jline.api.fj: Everything Green's cycle decomposition produces.
FJ_parallel.FJResptBulkResult - Class in jline.api.fj: [Rreq, Rtask, Q, p] of fj_respt_bulk.
FJ_parallel.FJResptNosplitResult - Class in jline.api.fj: [R, rho] of fj_respt_nosplit.
FJ_parallel.FJSerializationResult - Class in jline.api.fj: [P, delay, Rtot] of fj_serialization.
FJ_parallel.FJTsmCapacityResult - Class in jline.api.fj: [Lmax, Llp, Lfcfs, states, prob] of fj_tsm_capacity.
fj_qgb(double[], int[], int) - Static method in class jline.api.fj.FJ_closed
fj_qgb(double[], int[], int, double) - Static method in class jline.api.fj.FJ_closed: Geometric bound on the queue length of each fork-join subnetwork.
fj_quantile(int, double) - Static method in class jline.api.fj.FJ_quantile: Quantile approximation for maximum of K random variables (standard Gumbel).
fj_quantile(int, double[]) - Static method in class jline.api.fj.FJ_quantile: Quantile approximation for maximum of K random variables (array version).
fj_quantile(int, double, DoubleUnaryOperator) - Static method in class jline.api.fj.FJ_quantile: Quantile of maximum of K random variables using inverse CDF.
FJ_quantile - Class in jline.api.fj
FJ_quorum - Class in jline.api.fj: Completion time of a k-of-n (quorum) join over independent, not necessarily identically distributed branches.
FJ_quorum() - Constructor for class jline.api.fj.FJ_quorum
FJ_quorum.StepCDF - Class in jline.api.fj: A discrete step function on a finite, increasing time grid.
FJ_respt - Class in jline.api.fj
fj_respt_2way(double, double) - Static method in class jline.api.fj.FJ_respt: Exact two-way Fork-Join response time R_2^{F/J}(rho).
fj_respt_bulk(int, double, double, int) - Static method in class jline.api.fj.FJ_parallel
fj_respt_bulk(int, double, double, int, int) - Static method in class jline.api.fj.FJ_parallel: Centralized splitting as an M[K]/M/c bulk arrival system, solved by truncating the level chain.
fj_respt_closed(int, double, int) - Static method in class jline.api.fj.FJ_closed: The isolated parallel subsystem of Theorem 4.1, where every other job is necessarily inside the subnetwork so A = M-1.
fj_respt_closed(int, double, int, double) - Static method in class jline.api.fj.FJ_closed: Varki bound on the residence time of a closed fork-join subnetwork, R_{P_K}(M) <= x [ H_K + A ], with A the mean number of jobs an arriving job finds at the subnetwork.
fj_respt_nosplit(int, double, double) - Static method in class jline.api.fj.FJ_parallel: Distributed no splitting: a job of K tasks goes in one piece to a single server chosen uniformly among the K, which is an M/E_K/1 queue and reduces to R = [ K - (K-1) rho/2 ] / (mu - lambda).
fj_respt_nt(int, double, double) - Static method in class jline.api.fj.FJ_respt: Nelson-Tantawi approximation for K-way F/J response time.
fj_respt_varki(int, double, double) - Static method in class jline.api.fj.FJ_respt: Varki et al.
fj_respt_vm(int, double, double) - Static method in class jline.api.fj.FJ_respt: Varma-Makowski approximation for K-way F/J response time.
fj_rmax(int, double, double) - Static method in class jline.api.fj.FJ_rmax: Compute maximum response time R_K^max(rho) for K M/M/1 queues.
FJ_rmax - Class in jline.api.fj
fj_rmax_erlang(int, int, double, double) - Static method in class jline.api.fj.FJ_rmax: Maximum response time R_K^max for Erlang service times.
fj_rmax_evd(int, double, double) - Static method in class jline.api.fj.FJ_rmax
fj_rmax_evd(int, double, double, boolean) - Static method in class jline.api.fj.FJ_rmax: Maximum response time using Extreme Value Distribution (EVD) approximation.
fj_route_overlap() - Static method in class jline.examples.java.basic.ForkJoinExamples: Fork-join with overlapping routes (fj_route_overlap.ipynb).
fj_route_overlap() - Static method in class jline.examples.java.basic.ForkJoinModel: Fork-join with overlapping routes (fj_route_overlap.m).
fj_serialfjs_closed() - Static method in class jline.examples.java.basic.ForkJoinExamples: Closed serial fork-join stages (fj_serialfjs_closed.ipynb).
fj_serialfjs_closed() - Static method in class jline.examples.java.basic.ForkJoinModel
fj_serialfjs_open() - Static method in class jline.examples.java.basic.ForkJoinExamples: Open serial fork-join stages (fj_serialfjs_open.ipynb).
fj_serialfjs_open() - Static method in class jline.examples.java.basic.ForkJoinModel: Open network with cascaded fork-join stages.
fj_serialization(double[], double, int) - Static method in class jline.api.fj.FJ_parallel
fj_serialization(double[], double, int, double) - Static method in class jline.api.fj.FJ_parallel: Blocking probability and pseudoserver delay of serialization phases: P_s(M) = 1 - [ 1 - R_s(M)/R(M) ]^(M-1), with the delay charged at the pseudoserver equal to alpha R_s(M).
fj_sm_tput(int, double) - Static method in class jline.api.fj.FJ_sm_tput: Maximum throughput for Split-Merge queueing system.
FJ_sm_tput - Class in jline.api.fj
fj_synch_delay(double, double) - Static method in class jline.api.fj.FJ_synch_delay: Synchronization delay S_2(rho) for two-way Fork-Join.
FJ_synch_delay - Class in jline.api.fj
fj_tail_forktail(double[], double[], double) - Static method in class jline.api.fj.FJ_tail_forktail: Tail latency of a request forked over heterogeneous branches, one entry per branch.
fj_tail_forktail(double, double, int[], double[], double) - Static method in class jline.api.fj.FJ_tail_forktail: Tail latency when the fanout itself is random: a request spawns K[i] tasks with probability P[i], over identical branches.
fj_tail_forktail(double, double, int, double) - Static method in class jline.api.fj.FJ_tail_forktail: Tail latency of a request forked over K identical branches.
FJ_tail_forktail - Class in jline.api.fj: ForkTail black-box tail-latency approximation for fork-join requests.
FJ_tail_forktail.GEFit - Class in jline.api.fj: Fitted generalized-exponential parameters of one branch.
FJ_tail_forktail.ResptMoments - Class in jline.api.fj: Mean and variance of a branch response time.
fj_tail_ordstat(double[], double[], double, int) - Static method in class jline.api.fj.FJ_tail_ordstat: Tail latency of a quorum request over heterogeneous branches, one entry per branch.
fj_tail_ordstat(double, double, int, double, int) - Static method in class jline.api.fj.FJ_tail_ordstat: Tail latency of a quorum request over K identical branches.
FJ_tail_ordstat - Class in jline.api.fj: Tail latency of a k-of-n (quorum) fork-join request.
fj_threebranches() - Static method in class jline.examples.java.basic.ForkJoinExamples: Multi-class three-branch fork-join (fj_threebranches.ipynb).
fj_threebranches() - Static method in class jline.examples.java.basic.ForkJoinModel: Multi-class closed fork-join with asymmetric routing.
fj_tiny_closed() - Static method in class jline.examples.java.basic.ForkJoinExamples: Minimal closed fork-join model (fj_tiny_closed.m), solved exactly by the native CTMC fork-join implementation and validated against a closed form.
fj_tiny_closed() - Static method in class jline.examples.java.basic.ForkJoinModel: Minimal closed fork-join model, N = 1, with a closed form to check against.
fj_tsm_capacity(int, double[], int[], double[]) - Static method in class jline.api.fj.FJ_parallel: Saturation throughput of the team service model.
fj_twoclasses_forked() - Static method in class jline.examples.java.basic.ForkJoinExamples: Two-class fork-join with task multiplication (fj_twoclasses_forked.ipynb).
fj_twoclasses_forked() - Static method in class jline.examples.java.basic.ForkJoinModel: Multi-class fork-join network with different task multiplicity.
fj_variable_fanout(String) - Static method in class jline.examples.java.basic.ForkJoinModel: A fork whose degree is NOT one fixed number, in the four ways it can vary.
fj_warmstart - Variable in class jline.solvers.SolverOptions.Config: Resume the fork-join (MMT) fixed point from the iterate retained by the previous runAnalyzer call on the same solver, instead of restarting from GlobalConstants.FineTol.
FJ_xmax - Class in jline.api.fj
fj_xmax_2(double) - Static method in class jline.api.fj.FJ_xmax: Expected maximum of 2 i.i.d.
fj_xmax_2(double, double) - Static method in class jline.api.fj.FJ_xmax: Expected maximum of 2 exponential random variables.
fj_xmax_approx(int, double, double) - Static method in class jline.api.fj.FJ_xmax
fj_xmax_approx(int, double, double, String) - Static method in class jline.api.fj.FJ_xmax: General approximation for expected maximum of K random variables.
fj_xmax_coxian(int, double, double, double) - Static method in class jline.api.fj.FJ_maxima: Exact expected maximum of K i.i.d.
fj_xmax_emma(int, double) - Static method in class jline.api.fj.FJ_xmax: Expected maximum using EMMA.
fj_xmax_erlang(int, int, double) - Static method in class jline.api.fj.FJ_xmax: Expected maximum of K i.i.d.
fj_xmax_exp(int, double) - Static method in class jline.api.fj.FJ_xmax: Expected maximum of K i.i.d.
fj_xmax_het(double[]) - Static method in class jline.api.fj.FJ_maxima
fj_xmax_het(double[], int) - Static method in class jline.api.fj.FJ_maxima: Exact n-th moment of the maximum of K heterogeneous exponentials, by inclusion-exclusion on the survival function: E[Y^n] = sum over the nonempty subsets S of (-1)^(|S|+1) n! / (sum_S lambda_i)^n.
fj_xmax_hyperexp(int, double, double, double) - Static method in class jline.api.fj.FJ_xmax: Expected maximum of K i.i.d.
fj_xmax_hz(double, double, int) - Static method in class jline.api.fj.FJ_maxima: Harrison-Zertal closed form for K identically distributed branches given their first two moments, X_K^max ~ m1 + ( m2/(2 m1) ) ( H_K - 1 ).
fj_xmax_hz_het(double[], double[], DoubleUnaryOperator[]) - Static method in class jline.api.fj.FJ_maxima
fj_xmax_hz_het(double[], double[], DoubleUnaryOperator[], double, int) - Static method in class jline.api.fj.FJ_maxima: Harrison-Zertal recurrence for independent but not identically distributed branches, each supplied through its first two moments and its distribution function: I(S) = (1/|S|) sum_{i in S} [ I(S \ i) + (m2_i/(2 m1_i)) L*_{S\i}(1/m1_i) ], anchored at I({i}) = m1_i.
fj_xmax_moments_het(double[], int) - Static method in class jline.api.fj.FJ_maxima: Moments of orders 1..n of the maximum of heterogeneous exponentials, by the n-th derivative of the transform recurrence at the origin: M_m(n) = [ n M_m(n-1) + sum_j lambda_j M_{m-1}(lambda \ j, n) ] / sum_j lambda_j.
fj_xmax_normal(int, double, double) - Static method in class jline.api.fj.FJ_xmax
fj_xmax_normal(int, double, double, String) - Static method in class jline.api.fj.FJ_xmax: Expected maximum for normal distribution.
fj_xmax_pareto(int, double) - Static method in class jline.api.fj.FJ_xmax
fj_xmax_pareto(int, double, double) - Static method in class jline.api.fj.FJ_xmax: Expected maximum for Pareto distribution.
fj_xmax_pareto_char_max(int, double, double) - Static method in class jline.api.fj.FJ_xmax: Characteristic maximum M_K for Pareto distribution.
FJ_xmax.FJXmaxNormalResult - Class in jline.api.fj: Result container for expected maximum of normal distribution.
FJ_xmax.FJXmaxParetoResult - Class in jline.api.fj: Result container for expected maximum of Pareto distribution.
FJAmvaResult(double[], double[], double, double[]) - Constructor for class jline.api.fj.FJ_closed.FJAmvaResult
FJApprox(Network, Matrix, Matrix, Map<Integer, Integer>, Map<Integer, Integer>) - Constructor for class jline.io.Ret.FJApprox
FJArrival - Class in jline.lib.fjcodes: Arrival representation for FJ_codes.
FJArrival(double, Matrix, Matrix, int) - Constructor for class jline.lib.fjcodes.FJArrival
fjauxclass - Variable in class jline.lang.NetworkStruct
fjAuxClasses - Variable in class jline.lang.Network
FJAuxClassKey(int, int) - Constructor for class jline.io.Ret.FJAuxClassKey
fjAuxmatrix - Variable in class jline.lang.nodeparam.ForkNodeParam: FJ tag augmentation: B x T auxiliary class indices per original class
fjAuxmatrix - Variable in class jline.lang.nodeparam.JoinNodeParam: FJ tag augmentation: B x T auxiliary class indices per original class
FJBoundsResult(double, double) - Constructor for class jline.api.fj.FJ_bounds.FJBoundsResult
fjBranchheads - Variable in class jline.lang.nodeparam.ForkNodeParam: FJ tag augmentation: branch head node indices per original class
FJCharMaxBlomResult(double, double, double, boolean) - Constructor for class jline.api.fj.FJ_charmax_ext.FJCharMaxBlomResult
FJCharMaxDiscreteResult(double, int, double) - Constructor for class jline.api.fj.FJ_charmax_ext.FJCharMaxDiscreteResult
fjClasses - Variable in class jline.lang.nodeparam.ForkNodeParam: FJ tag augmentation (ModelAdapter.fjtag): original classes forked here
fjclassmap - Variable in class jline.io.Ret.FJApprox
fjclassmap - Variable in class jline.lang.ModelAdapter.FJTagResult
fjclassmap - Variable in class jline.lang.NetworkStruct
fjclassmap - Variable in class jline.solvers.tr.FJTagTransform.Context: Auxiliary-to-original class map produced by the augmentation.
FjCodesUtils - Class in jline.lib.fjcodes: FJ_codes utility helpers: the free functions of the FJ_codes port, collected as static methods on a non-instantiable holder.
FJConvert - Class in jline.api.fj
FJCoxFitResult(double, double, double, int, int) - Constructor for class jline.api.fj.FJ_maxima.FJCoxFitResult
FJDagMakespanResult(double, double[], double[], double[]) - Constructor for class jline.api.fj.FJ_parallel.FJDagMakespanResult
FJDelayOptResult(double[], double, double) - Constructor for class jline.api.fj.FJ_dispersion.FJDelayOptResult
FJDispersionResult(double, double, double) - Constructor for class jline.api.fj.FJ_dispersion.FJDispersionResult
FJFixedPoint - Class in jline.solvers.fj: Solver-agnostic driver of the fork-join fixed point.
FJFixedPoint.FJOutcome - Class in jline.solvers.fj: Outcome of the fixed point: the merged metrics and the retained state.
FJFixedPoint.FJState - Class in jline.solvers.fj: State the fixed point retains across calls, as MATLAB keeps on the solver.
FJFixedPoint.InnerSolve - Interface in jline.solvers.fj: The inner solve of one pass of the fixed point.
fjFoldback(Matrix, Matrix, Matrix, Matrix, Matrix, int) - Static method in class jline.lang.ModelAdapter: Fold the auxiliary-class metric columns computed on an FJ tag-augmented struct back into the original classes: queue lengths, utilizations and throughputs of the sibling classes are exact aggregates of the class they were forked from; response times are recomputed by Little's law after folding.
fjFork - Variable in class jline.lang.nodeparam.JoinNodeParam: FJ tag augmentation (ModelAdapter.fjtag): matched fork node
fjForkLambda - Variable in class jline.solvers.fj.FJFixedPoint.FJState: Auxiliary-class arrival rates, the warm start of the next call.
fjforkmap - Variable in class jline.io.Ret.FJApprox
FJInfo - Class in jline.api.fj: Information about detected Fork-Join topology.
FJInfo(int, int, int, int[], int, int, boolean) - Constructor for class jline.api.fj.FJInfo
FJIsmGreenResult(double, double, double, double, double, double, double, double, double, double, double, double, double, double[]) - Constructor for class jline.api.fj.FJ_parallel.FJIsmGreenResult
fjJoins - Variable in class jline.lang.nodeparam.ForkNodeParam: FJ tag augmentation: matched join node per forked class entry
fjmodel - Variable in class jline.lang.ModelAdapter.FJTagResult
fjOrigclasses - Variable in class jline.lang.nodeparam.JoinNodeParam: FJ tag augmentation: original classes joined here
FJOutcome() - Constructor for class jline.solvers.fj.FJFixedPoint.FJOutcome
FJPercentileResult(int, double[], double[]) - Constructor for class jline.lib.fjcodes.MainFJ.FJPercentileResult
FJQgbResult(double[], double[]) - Constructor for class jline.api.fj.FJ_closed.FJQgbResult
FJQLen - Enum constant in enum jline.lang.constant.MetricType
fjRequired - Variable in class jline.lang.nodeparam.JoinNodeParam: FJ tag augmentation: required siblings per branch (B x 1) per original class
FJRespT - Enum constant in enum jline.lang.constant.MetricType
FJResptBulkResult(double, double, double, double[]) - Constructor for class jline.api.fj.FJ_parallel.FJResptBulkResult
FJResptClosedResult(double, boolean) - Constructor for class jline.api.fj.FJ_closed.FJResptClosedResult
FJResptNosplitResult(double, double) - Constructor for class jline.api.fj.FJ_parallel.FJResptNosplitResult
FJSerializationResult(double[], double[], double) - Constructor for class jline.api.fj.FJ_parallel.FJSerializationResult
FJService - Class in jline.lib.fjcodes: Service representation for FJ_codes.
FJService(double, Matrix, Matrix, Matrix, int) - Constructor for class jline.lib.fjcodes.FJService
FJServiceH - Class in jline.lib.fjcodes: Service representation for 2-node FJ job.
FJServiceH(Matrix, Matrix, Matrix) - Constructor for class jline.lib.fjcodes.FJServiceH
fjsn - Variable in class jline.lang.ModelAdapter.FJTagResult
fjsn - Variable in class jline.solvers.tr.FJTagTransform.Context: The tag-augmented struct the solver runs on.
FJsortForks(Matrix, Matrix) - Constructor for class jline.io.Ret.FJsortForks
FJState() - Constructor for class jline.solvers.fj.FJFixedPoint.FJState
FJState(Ret.FJApprox, Matrix) - Constructor for class jline.solvers.fj.FJFixedPoint.FJState
FJStateSpace - Class in jline.lib.fjcodes
fjSupportsReason(NetworkStruct) - Static method in class jline.lang.ModelAdapter: Can the exact fork-join construction be asked for this model?
fjsync - Variable in class jline.lang.NetworkStruct
FJSync - Class in jline.lang: A fork firing synchronization on an FJ tag-augmented struct (see ModelAdapter.fjtag).
FJSync() - Constructor for class jline.lang.FJSync
FjSyncMap() - Constructor for class jline.api.sn.SnBuildFjSyncMap.FjSyncMap
fjtag(Network) - Static method in class jline.lang.ModelAdapter: Build a tag-augmented copy of a closed fork-join model for exact native analysis by SolverCTMC/SolverSSA.
FJTagResult(Network, NetworkStruct, Matrix) - Constructor for class jline.lang.ModelAdapter.FJTagResult
FJTagTransform - Class in jline.solvers.tr: Fork-join TAG AUGMENTATION, the transform/lift pair shared by CTMC and SSA.
FJTagTransform.Context - Class in jline.solvers.tr: What the expand phase hands the lift phase.
FJTagTransform.Lifted - Class in jline.solvers.tr: The lifted metrics, in ORIGINAL class coordinates.
FJTsmCapacityResult(double, double, double, boolean, int[][], double[]) - Constructor for class jline.api.fj.FJ_parallel.FJTsmCapacityResult
FJUtils - Class in jline.lib.fjcodes
fjValidate(NetworkStruct) - Static method in class jline.lang.ModelAdapter
FJValidation - Class in jline.api.fj
FJXmaxCoxianResult(double, double, double) - Constructor for class jline.api.fj.FJ_maxima.FJXmaxCoxianResult
FJXmaxNormalResult(double, double) - Constructor for class jline.api.fj.FJ_xmax.FJXmaxNormalResult
FJXmaxParetoResult(double, double) - Constructor for class jline.api.fj.FJ_xmax.FJXmaxParetoResult
flag - Variable in class jline.api.mc.Ctmc_bicgstab.BicgstabResult
flag - Variable in class jline.api.mc.Ctmc_gmres.GmresResult
flag - Variable in class jline.lib.ode.RKF45Result
Flat() - Constructor for class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Flat
flatten(double[][]) - Static method in class jline.inference.api.VariationalSpec: Flattened (M*R) copy of a station-class array, column-major.
FLD - Class in jline.solvers.fluid: FLD is an alias for SolverFluid (Fluid/Mean-Field Approximation solver).
FLD(Network) - Constructor for class jline.solvers.fluid.FLD
FLD(Network, Object...) - Constructor for class jline.solvers.fluid.FLD
FLD(Network, String) - Constructor for class jline.solvers.fluid.FLD
FLD(Network, SolverOptions) - Constructor for class jline.solvers.fluid.FLD
floor - Variable in class jline.inference.api.VariationalOptions
fluFluQueue(Matrix, Matrix, Matrix, Matrix, boolean) - Static method in class jline.lib.butools.queues.FluFluQueue
fluFluQueue(Matrix, Matrix, Matrix, Matrix, boolean, int, int) - Static method in class jline.lib.butools.queues.FluFluQueue
fluFluQueue(Matrix, Matrix, Matrix, Matrix, boolean, int, int, double) - Static method in class jline.lib.butools.queues.FluFluQueue: Returns various performance measures of a fluid queue with independent fluid arrival and service processes.
FluFluQueue - Class in jline.lib.butools.queues
FluFluResult - Class in jline.lib.butools.queues: Result class for FluFluQueue containing ME distribution parameters and computed performance measures.
FluFluResult(GeneralFluidSolution, GeneralFluidSolution, double[], double[], double, double) - Constructor for class jline.lib.butools.queues.FluFluResult
fluFluSTD(Matrix, Matrix, Matrix, Matrix, boolean, boolean) - Static method in class jline.lib.butools.queues.FluidQueueSTD: Sojourn-time distribution of a fluid queue in which both the arrival and the service processes are Markov-modulated fluid flows.
Fluid - Class in jline.solvers.fluid: Fluid is an alias for SolverFluid (Fluid/Mean-Field Approximation solver).
Fluid(Network) - Constructor for class jline.solvers.fluid.Fluid
Fluid(Network, Object...) - Constructor for class jline.solvers.fluid.Fluid
Fluid(Network, String) - Constructor for class jline.solvers.fluid.Fluid
Fluid(Network, SolverOptions) - Constructor for class jline.solvers.fluid.Fluid
FLUID - Enum constant in enum jline.lang.constant.SolverType
fluid_earlystop - Variable in class jline.solvers.SolverOptions.Config: Fluid: stop the ODE window loop once the geometric tail of the iteration says the state is at a fixed point, instead of always running iter_max windows.
FluidAnalyzer - Interface in jline.solvers.fluid.analyzers
FluidCacheTran - Class in jline.solvers.fluid.analyzers: Transient refined-mean-field cache trajectory for an (open) integrated cache-queueing network.
FluidClosures - Class in jline.solvers.fluid.moments: Moment closures of the fluid drift, backing options.method='minnormal' of SolverFluid.
FluidClosures.ShareResult - Class in jline.solvers.fluid.moments: A vector of capacity shares together with its Jacobian, and the joint-closure covariance Cov(S_j,N) and its Jacobian.
FluidClosures.ValueDeriv - Class in jline.solvers.fluid.moments: A closure value together with its first two derivatives with respect to the mean.
FluidConservationGuard - Class in jline.solvers.fluid.moments: Detects a moment-closure trajectory that has left the model.
FluidConservationGuard(NetworkStruct, Matrix) - Constructor for class jline.solvers.fluid.moments.FluidConservationGuard
FluidDaeApplicable - Class in jline.solvers.fluid.moments: Whether DaeAnalyzer can answer a model, used by SolverFluid to try dae before dropping a declined minnormal to a first-order method.
FluidFundamentalMatrices - Class in jline.lib.butools
FluidFundamentalMatrices(Matrix, Matrix, Matrix, Matrix, Double, Integer, String) - Static method in class jline.lib.butools.FluidFundamentalMatrices
FluidHideImmediate - Class in jline.solvers.fluid.handlers: Whether the fluid drift of a model should be built on the stochastic complement of its INSTANTANEOUS coordinates (see ImmediateElimination).
FluidInterp - Class in jline.solvers.fluid: Clamped piecewise-linear interpolation of a vector-valued trajectory.
FluidLyapunov - Class in jline.solvers.fluid.moments: Stationary covariance of the linear noise approximation.
FluidLyapunov.Result - Class in jline.solvers.fluid.moments: The stationary covariance together with the diagnostics of the reduced solve.
FluidMinNormalApplicable - Class in jline.solvers.fluid.moments: Whether MinNormalAnalyzer can answer a model, used by the default method of SolverFluid to prefer minnormal over matrix when it applies.
FluidMomentTerms - Class in jline.solvers.fluid.moments: Event-based representation of the fluid population process, as required by the moment-closure methods of SolverFluid.
FluidMomentTerms(NetworkStruct, SolverOptions) - Constructor for class jline.solvers.fluid.moments.FluidMomentTerms
FluidNhpp - Class in jline.solvers.fluid: Non-homogeneous Poisson (NHPP) support for the fluid solver.
FluidNonHyperbolicException - Exception in jline.solvers.fluid.moments: The fluid fixed point has no stationary linear noise approximation: the drift Jacobian is not Hurwitz on the reachable subspace (balanced bottlenecks, a saturated multiclass station, an overloaded open station).
FluidNonHyperbolicException(String) - Constructor for exception jline.solvers.fluid.moments.FluidNonHyperbolicException
fluidODEs(List<String>, List<String>, List<String>) - Method in class jline.api.sym.SageRestEngine
fluidODEs(List<String>, List<String>, List<String>) - Method in interface jline.api.sym.SymEngine: Jacobian, LaTeX form and equilibria of a fluid vector field.
FluidODEs(String[][], List<String>, List<Map<String, String>>) - Constructor for class jline.api.sym.SymEngine.FluidODEs
FluidODEsExporter - Class in jline.solvers.fluid: Symbolic export of the mean-field ODE system integrated by SolverFluid.
FluidODEsExporter.SymODEs - Class in jline.solvers.fluid: Structural description of the exported ODE system.
FluidOptions - Class in jline.solvers.fluid
FluidOptions() - Constructor for class jline.solvers.fluid.FluidOptions
fluidPrioQueue(Matrix, Matrix, double, int[], double, int, Object...) - Static method in class jline.lib.butools.queues.FluidPrioQueue: Returns performance measures of a continuous-time fluid priority queue.
FluidPrioQueue - Class in jline.lib.butools.queues
FluidPsRtResult(FirstOrderDifferentialEquations, Matrix, Matrix, int, int, int) - Constructor for class jline.inference.api.Infer_fluid_ps_rt_likelihood.FluidPsRtResult
fluidQueue(Matrix, Matrix, Matrix, Map<String, Object>) - Static method in class jline.lib.butools.queues.FluidQueue
fluidQueue(Matrix, Matrix, Matrix, Map<String, Object>, Matrix) - Static method in class jline.lib.butools.queues.FluidQueue
fluidQueue(Matrix, Matrix, Matrix, Map<String, Object>, Matrix, double) - Static method in class jline.lib.butools.queues.FluidQueue: Returns various performance measures of a fluid queue.
FluidQueue - Class in jline.lib.butools.queues
fluidQueueSTD(Matrix, Matrix, Matrix, Matrix, boolean) - Static method in class jline.lib.butools.queues.FluidQueueSTD: Sojourn-time distribution of a fluid queue with input rate matrix Rin and output (service) rate matrix Rout, modulated by generator Q.
FluidQueueSTD - Class in jline.lib.butools.queues
FluidRateFactors - Class in jline.solvers.fluid.moments: Per-coordinate service share of the closing fluid ODE and its analytic Jacobian.
FluidRateFactors(int, int, boolean[][], Matrix, Matrix, Matrix, Matrix, SchedStrategy[], Matrix) - Constructor for class jline.solvers.fluid.moments.FluidRateFactors
FluidRateMultiplier - Class in jline.solvers.fluid.handlers: Time-varying per-event rate multiplier of the closing fluid ODE.
FluidRateMultiplier.NhppEntry - Class in jline.solvers.fluid.handlers: An NHPP source intensity attached to a (station, class) of the sn index space.
FluidRateMultiplier.RateEntry - Class in jline.solvers.fluid.handlers: An explicit rate trajectory attached to a (station, class) of the sn index space.
FluidRefineMeanfield - Class in jline.solvers.fluid.moments: Refined mean field correction of a fluid fixed point (Gast, POMACS 2017).
FluidRefineMeanfield.Result - Class in jline.solvers.fluid.moments: The correction, plus what it took to compute it.
FluidResult - Class in jline.solvers.fluid: Result container for Fluid solver analysis of queueing networks.
FluidResult() - Constructor for class jline.solvers.fluid.FluidResult
FluidSolution(Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.lib.butools.mam.FluidSolve.FluidSolution
fluidSolve(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.butools.mam.FluidSolve
fluidSolve(Matrix, Matrix, Matrix, Matrix, double) - Static method in class jline.lib.butools.mam.FluidSolve: Returns the parameters of the matrix-exponentially distributed stationary distribution of a canonical Markovian fluid model.
FluidSolve - Class in jline.lib.butools.mam
FluidSolve.FluidSolution - Class in jline.lib.butools.mam: Result class for FluidSolve.
FluidSolverFactory() - Constructor for class jline.bench.lqn.BenchLQN_Fluid.FluidSolverFactory
FluidStateRateMultiplier - Class in jline.solvers.fluid.analyzers: Time-varying per-state rate multiplier of the matrix-method fluid ODE.
fluidStationaryDistr(Matrix, Matrix, Matrix, Matrix, double[]) - Static method in class jline.lib.butools.mam.FluidStationaryDistr: Returns the stationary distribution of a Markovian fluid model at specific points.
FluidStationaryDistr - Class in jline.lib.butools.mam
FluidTools - Class in jline.lib.butools.mam: Small matrix helpers shared by the fluid-queue ports (diagonal extraction, index-based submatrices, block assembly).
fluidUnqualify(String) - Static method in class jline.solvers.fluid.SolverFluid: The method name without its fld. prefix, which names the same method, with aoi folded onto mfq: it names the MFQ branch's age-of-information reading rather than a method of its own, which is how native python spells it and how getAvgAoI reaches it (it requires method='mfq').
flush(double) - Method in class jline.streaming.Collector: Flush any pending metrics (called at end of simulation).
fmincon(Function<double[], Double>, double[], double[], double[]) - Static method in class jline.inference.util.OptimUtils
fmincon(Function<double[], Double>, double[], double[], double[], int) - Static method in class jline.inference.util.OptimUtils: Bound-constrained minimization using BOBYQA (derivative-free).
fmtValue(double, int) - Static method in class jline.solvers.AvgTable: Formats a metric value compactly with the given number of significant digits, matching the MATLAB table display (e.g.
fname - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
fname - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
fobjAC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.AcfitResult
force - Variable in class jline.api.sim.QuestOptions: Whether to deliver a heuristic interval when a stage test fails.
force - Variable in class jline.solvers.SolverOptions: Force solver execution even when validation fails
force(boolean) - Method in class jline.solvers.SolverOptions: Forces solver execution even when validation fails (builder pattern).
forceSolver - Variable in class jline.solvers.auto.AUTOptions: Force a specific solver (overrides automatic selection) Valid values: "mva", "nc", "mam", "fld" (alias "fluid"), "jmt", "ssa", "ctmc"
forJobClass(JobClass) - Method in class jline.lang.ClosedSignal: Associates this signal with a job class.
forJobClass(JobClass) - Method in class jline.lang.OpenSignal: Associates this signal with a job class.
forJobClass(JobClass) - Method in class jline.lang.Signal: Associates this signal with a job class.
fork - Variable in class jline.lang.FJSync
Fork - Class in jline.lang.nodes: A node that forks an incoming job into a set of sibling tasks.
Fork - Enum constant in enum jline.lang.constant.NodeType: Fork node - splits jobs into parallel tasks
Fork(Network) - Constructor for class jline.lang.nodes.Fork: Creates a new fork node with default name "Fork".
Fork(Network, String) - Constructor for class jline.lang.nodes.Fork: Creates a new fork node with the specified name.
FORK - Enum constant in enum jline.io.ModelVisualizer.NodeType
FORK - Enum constant in enum jline.lang.constant.SchedStrategy: Fork node - jobs are split into parallel tasks
fork_join - Variable in class jline.solvers.SolverOptions.Config: Fork-join handling strategy
Forker - Class in jline.lang.sections: Output section that forks incoming jobs into sibling tasks
Forker(List<JobClass>) - Constructor for class jline.lang.sections.Forker
Forker.ForkOverride - Class in jline.lang.sections: One variable-forking-level override.
forkIdx - Variable in class jline.api.fj.FJInfo
forKind(String) - Method in class jline.opt.results.SensitivityData
forkJoinAdmitsReason(NetworkStruct, String) - Static method in class jline.solvers.fluid.SolverFluid: Can method run the fluid fork-join fixed point on this model?
ForkJoinExamples - Class in jline.examples.java.basic: Fork-join network examples mirroring the example notebooks in forkJoin.
ForkJoinExamples() - Constructor for class jline.examples.java.basic.ForkJoinExamples
ForkJoinModel - Class in jline.examples.java.basic: Examples of fork-join queueing networks
ForkJoinModel() - Constructor for class jline.examples.java.basic.ForkJoinModel
forkLambdaInit - Variable in class jline.io.Ret.FJApprox
ForkNodeParam - Class in jline.lang.nodeparam: Parameter container for fork nodes in queueing networks.
ForkNodeParam() - Constructor for class jline.lang.nodeparam.ForkNodeParam
forkNodes - Variable in class jline.api.wf.Wf_analyzer.NodeClassification
forkNodes - Variable in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
forkOfGroup - Variable in class jline.api.sn.SnBuildFjSyncMap.FjSyncMap: forkOfGroup.get(g) = fork node index of group g+1 (0-based node index).
ForkOverride(String, int, double) - Constructor for class jline.lang.sections.Forker.ForkOverride
ForkOverride(String, int, double, DiscreteSampler) - Constructor for class jline.lang.sections.Forker.ForkOverride
form - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
forward(String) - Method in class jline.lang.layered.Entry: Add a forwarding call to another entry by name with probability 1.0.
forward(String, double) - Method in class jline.lang.layered.Entry: Add a forwarding call to another entry by name with a specified probability.
forward(Entry) - Method in class jline.lang.layered.Entry: Add a forwarding call to another entry with probability 1.0.
forward(Entry, double) - Method in class jline.lang.layered.Entry: Add a forwarding call to another entry with a specified probability.
FORWARD - Static variable in class jline.api.pfqn.mva.Pfqn_chow: Legacy compatibility selector; JMT-compatible Chow ignores it.
FORWARDING - Enum constant in enum jline.io.ModelVisualizer.EdgeType
forwardingDests - Variable in class jline.lang.layered.Entry
forwardingProbs - Variable in class jline.lang.layered.Entry
Fp_r - Variable in class jline.lib.rmf.CacheRMF.ReducedSystem
Fpp_r - Variable in class jline.lib.rmf.CacheRMF.ReducedSystem
Fragment(SequenceDiagramTraverser.Fragment.FragmentType, int) - Constructor for class jline.io.tikz.SequenceDiagramTraverser.Fragment
FRESH - Enum constant in enum jline.api.npfqn.Npfqn_sqd.V1Policy
fromActivities(List<Activity>, List<Activity>) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence with Activity objects, assuming PRE_SEQ as preType and POST_SEQ as postType.
fromActivities(List<Activity>, List<Activity>, String) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence with Activity objects, assuming POST_SEQ as postType.
fromActivities(List<Activity>, List<Activity>, String, String) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence with Activity objects, without preParams and postParams.
fromActivities(List<Activity>, List<Activity>, String, String, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence with Activity objects, without postParams.
fromActivities(List<Activity>, List<Activity>, String, String, Matrix, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence with Activity objects.
fromArray2D(double[][]) - Method in class jline.util.matrix.Matrix: Populates the matrix from a 2D double array.
fromArray2D(int[][]) - Method in class jline.util.matrix.Matrix: Populates the matrix from a 2D integer array.
fromClass - Variable in class jline.io.Ret.ActionMapEntry
fromClass - Variable in class jline.lang.nodes.Cache.RetrievalRoutingEntry
fromClass - Variable in class jline.solvers.ag.handlers.ActionInfo
fromDistribution(Distribution) - Static method in enum jline.lang.constant.ProcessType
fromErlang(int, double) - Static method in class jline.lang.processes.ME: Creates an ME distribution from an Erlang distribution.
fromErlang(int, double) - Static method in class jline.lang.processes.RAP: Creates a RAP from an Erlang renewal process.
fromExp(double) - Static method in class jline.lang.processes.ME: Creates an ME distribution from an exponential distribution.
fromHyperExp(double[], double[]) - Static method in class jline.lang.processes.ME: Creates an ME distribution from a HyperExponential distribution.
fromHyperExp(double, double, double) - Static method in class jline.lang.processes.RAP: Creates a RAP from a Hyper-exponential distribution.
fromID(int) - Static method in enum jline.lang.constant.BalkingStrategy: Convert numeric ID to BalkingStrategy enum value.
fromID(int) - Static method in enum jline.lang.constant.DepartureDiscipline
fromID(int) - Static method in enum jline.lang.constant.DropStrategy
fromID(int) - Static method in enum jline.lang.constant.ImpatienceType: Convert numeric ID to ImpatienceType enum value.
fromID(int) - Static method in enum jline.lang.constant.RemovalPolicy
fromID(int) - Static method in enum jline.lang.constant.SignalType
fromLayeredIterates(Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.lqn.LqnBalanceEquations.Solution: A Solution built from the iterate vectors of jline.solvers.ln.SolverLN.
fromMAP(MAP) - Static method in class jline.lang.processes.MMDP: Converts a MAP to MMDP (deterministic representation).
fromMAP(MAP) - Static method in class jline.lang.processes.RAP: Creates a RAP from a Markovian Arrival Process (MAP).
fromMAPs(Matrix, Matrix, Matrix) - Static method in class jline.lang.processes.MMAP: Factory method to create a simple 2-type MMAP from two MAPs
fromMAPWithBatchPMF(Matrix, Matrix, int[], double[]) - Static method in class jline.lang.processes.BMAP: Factory method to create BMAP from a base MAP and batch size distribution Given a base MAP (D0_base, D1_base) for inter-batch arrivals and a batch size distribution, constructs the BMAP by scaling: Dk = D1_base * pmf[k-1]
fromMarg(Network, int, int) - Static method in class jline.lang.state.State: Generates the state space of a node from its TOTAL job count, all classes summed out.
fromMarg(NetworkStruct, int, int) - Static method in class jline.lang.state.FromMarginal: Every detailed local state of node IND whose CLASS TOTAL is ntot.
fromMargAndStarted(Network, int, int, int) - Static method in class jline.lang.state.State: Generates the state space of a node from its TOTAL job count and its TOTAL number of started jobs, both summed over classes.
fromMargAndStarted(NetworkStruct, int, int, int) - Static method in class jline.lang.state.FromMarginal: Every detailed local state of node IND whose CLASS TOTAL is ntot and whose total number of started jobs is stot.
fromMarginal(Network, int, int[]) - Static method in class jline.lang.state.State: Generates the state space of a node from the per-class marginal job counts.
fromMarginal(NetworkStruct, int, Matrix) - Static method in class jline.lang.state.FromMarginal
FromMarginal - Class in jline.lang.state
FromMarginal() - Constructor for class jline.lang.state.FromMarginal
fromMarginalAndRunning(Network, int, int[], int[]) - Static method in class jline.lang.state.State: Generates the state space of a node from the per-class marginal job counts and the per-class number of running jobs.
fromMarginalAndRunning(Network, int, Matrix, Matrix) - Static method in class jline.lang.state.FromMarginal
fromMarginalAndRunning(NetworkStruct, int, Matrix, Matrix) - Static method in class jline.lang.state.FromMarginal
fromMarginalAndRunning(NetworkStruct, int, Matrix, Matrix, boolean) - Static method in class jline.lang.state.FromMarginal
fromMarginalAndStarted(Network, int, int[], int[]) - Static method in class jline.lang.state.State: Generates the state space of a node from the per-class marginal job counts and the per-class number of jobs that have just started service.
fromMarginalAndStarted(Network, int, Matrix, Matrix) - Static method in class jline.lang.state.FromMarginal
fromMarginalAndStarted(NetworkStruct, int, Matrix, Matrix) - Static method in class jline.lang.state.FromMarginal
fromMarginalAndStarted(NetworkStruct, int, Matrix, Matrix, Boolean) - Static method in class jline.lang.state.FromMarginal: Wrapper: the discipline branches below return early from several places, so the synchronous-call (REPLY) counter columns are appended here, once, for every exit path.
fromMarginalBounds(NetworkStruct, int, Matrix, double, SolverOptions) - Static method in class jline.lang.state.FromMarginal
fromMarginalPool(NetworkStruct, int, Matrix) - Static method in class jline.lang.state.AfterEventStationPool: Local states [buffer | servers | pool order] with marginal n at pooled station ind: every split of the jobs into in-service (per class and pool) and waiting ones such that no waiting job has a free compatible server, every phase assignment of the jobs in service, every order of the waiting jobs (per-class counts under SIRO), and every pool order index when the order rotates.
fromMatrix(Matrix) - Static method in class jline.lang.processes.GMM: Creates a GMM from a simplified matrix representation.
fromMMPP2(double, double, double, double) - Static method in class jline.lang.processes.MMDP: Creates an MMDP from MMPP2 parameters.
fromMoments(Matrix) - Static method in class jline.lib.kpctoolbox.APH
fromNetworkStruct(NetworkStruct) - Static method in class jline.api.mapqn.Mapqn_parameters
fromPoisson(double) - Static method in class jline.lang.processes.RAP: Creates a RAP from an exponential renewal process (Poisson process).
fromRows(List<List<Double>>) - Static method in class jline.util.matrix.Matrix: Constructs a Matrix from a list of rows, where each inner list is a row.
fromSampleSysAggr(Object) - Static method in class jline.lang.processes.MarkedMarkovProcess: Create MarkedCTMC from sample system aggregation.
fromSampleSysAggr(Object) - Static method in class jline.lang.processes.MarkovChain: Create DTMC from sample system aggregation (legacy interface)
fromSampleSysAggr(Object) - Static method in class jline.lang.processes.MarkovProcess: Create CTMC from sample system aggregation (dispatches based on input type).
fromSampleSysAggr(Ret.SampleResult) - Static method in class jline.lang.processes.MarkovProcess: Create CTMC from a SampleResult containing multi-node state trajectories.
fromSampleSysAggr(Matrix) - Static method in class jline.lang.processes.MarkovChain: Create DTMC from sample system aggregation
fromSampleSysAggr(Matrix) - Static method in class jline.lang.processes.MarkovProcess: Create CTMC from sample system aggregation (assuming unit sojourn times)
fromSampleSysAggr(Matrix, int) - Static method in class jline.lang.processes.MarkovChain: Create DTMC from sample system aggregation
fromSampleSysAggr(Matrix, Matrix) - Static method in class jline.lang.processes.MarkovProcess: Create CTMC from sample system aggregation
fromSampleSysAggr(Matrix, Matrix, int) - Static method in class jline.lang.processes.MarkovProcess: Create CTMC from sample system aggregation
fromStates(int[], int[][]) - Static method in class jline.api.mdd.MDD: Build an MDD from a set of 0-based state tuples.
fromStation - Variable in class jline.io.Ret.ActionMapEntry
fromStation - Variable in class jline.solvers.ag.handlers.ActionInfo
fromText(String) - Static method in enum jline.lang.constant.HeteroSchedPolicy: Converts a string representation to a HeteroSchedPolicy enum value.
fromText(String) - Static method in enum jline.lang.constant.ProcessType
fromText(String) - Static method in enum jline.lang.constant.RemovalPolicy
fromText(String) - Static method in enum jline.lang.constant.ReplacementStrategy
fromText(String) - Static method in class jline.lang.constant.RetrialPolicy: Parses a retrial policy from its text representation.
fromText(String) - Static method in enum jline.lang.constant.SchedStrategy: Converts a LINE string representation to a SchedStrategy enum value.
fromText(String) - Static method in enum jline.lang.constant.SignalType
fromTriplets(JsonArray, int) - Static method in class jline.solvers.ag.AgWire: Rebuild an n-by-n matrix from the triplets written by AgWire.triplets(jline.util.matrix.Matrix).
fromValue(int) - Static method in enum jline.lang.constant.PollingType: Converts a numeric value to a PollingType enum value.
fromWfCommons(String) - Static method in class jline.lang.workflow.Workflow: Load a workflow from a WfCommons JSON file.
fromWfCommons(String, WfCommonsOptions) - Static method in class jline.lang.workflow.Workflow: Load a workflow from a WfCommons JSON file with options.
frozenLayers - Variable in class jline.opt.results.WorkflowResult: LQN diagnostics (solveLayered): final frozen layer set.
frozenLayers - Variable in class jline.opt.solver.LineOptSolverOptions: Explicit layer freezing (LQN only): host/task layer names whose variables are held at the model's current value instead of being optimized.
FSF - Enum constant in enum jline.lang.constant.HeteroSchedPolicy: Fastest Server First.
fsfrate - Variable in class jline.lang.state.CtmcPool: fsfrate[t][r]: 1/mean of the law of r at pool t (FSF).
FSP - Enum constant in enum jline.lang.constant.SchedStrategy: Fair Sojourn Protocol - preemptive; ranks by virtual PS finish time.
FULL - Enum constant in enum jline.api.sn.ValidationLevel: Full validation of all constraints and consistency checks.
fun - Variable in class jline.opt.solver.de.DifferentialEvolution.Result
function_wrapper - Class in jline.lib.lti: Function wrapper class, allowing us to add and multiply using the complex high-precision Apcomplex by overriding UnaryOperator.
FunctionTask - Class in jline.lang.layered: Deprecated.
Use SetupTask, or a plain Task with setSetupTime() and setDelayOffTime().
FunctionTask(LayeredNetwork, String) - Constructor for class jline.lang.layered.FunctionTask: Deprecated.

Constructor with default multiplicity and scheduling.
FunctionTask(LayeredNetwork, String, int) - Constructor for class jline.lang.layered.FunctionTask: Deprecated.

Constructor with default scheduling strategy (FCFS).
FunctionTask(LayeredNetwork, String, int, SchedStrategy) - Constructor for class jline.lang.layered.FunctionTask: Deprecated.

Constructor for FunctionTask.
FWD - Enum constant in enum jline.lang.constant.CallType

G

g - Variable in class jline.api.pfqn.ld.Pfqn_oi_insvc.Result: g[i][r] = E[sir_r | n], column-major over the lattice 0 <= n <= N.
g - Variable in class jline.api.spn.Spn_pf.SpnPfResult: g[l][k] = g_l(k), ready for Mdd_rec.
g - Variable in class jline.solvers.fluid.petri.PetriClosures.MinMulti: dH/dMU(a): the probability that arc a is the binding one.
g(double, int) - Static method in class jline.examples.parity.Print: C's %.<sig>g: sig significant digits with the trailing zeros stripped, which Java's own %g does not do.
G - Variable in class jline.api.dpfqn.DpfqnNcLdResult: Normalizing constants G(k) for k = 0..N, in the common scale.
G - Variable in class jline.api.dpfqn.DpfqnNcResult: Time-stationary normalizing constant G(N,J), in the common scale.
G - Variable in class jline.api.mam.Qbd_rg.QbdCrResult
G - Variable in class jline.api.mam.Qbd_rg.QbdRgResult
G - Variable in class jline.api.pfqn.lcfs.Pfqn_lcfsqn_nc.LcfsqnNcResult
G - Variable in class jline.api.pfqn.ld.Pfqn_explicit_ld.Result: The normalizing constant.
G - Variable in class jline.api.pfqn.nc.Pfqn_dnc.Result: Normalizing constant at population N.
G - Variable in class jline.api.pfqn.nc.Pfqn_explicit.Result: The normalizing constant.
G - Variable in class jline.api.pfqn.nc.Pfqn_nre.Result: The normalizing constant, exp(lG).
G - Variable in class jline.api.pfqn.nc.Pfqn_pas_is.Result
G - Variable in class jline.api.pfqn.nc.Pfqn_rgf.Result: Normalizing constant G(N).
G - Variable in class jline.api.pfqn.nc.Pfqn_rgfmc.Result: Normalizing constant G(N).
G - Variable in class jline.api.qsys.QsysBmapM1Result: Minimal non-negative solution of G = A0 + A1*G + sum_k Bk[k]*G^(k+1).
G - Variable in class jline.api.qsys.QsysTandemPathResult: Interarrival times, G[n][k] between customers n and n+1 at station k, so column 0 is the external stream.
G - Variable in class jline.api.spn.Spn_metrics.SpnMetricsResult: The normalising constant the measures are taken against.
G - Variable in class jline.io.Ret.pfqnComomrmMs
G - Variable in class jline.io.Ret.pfqnManjunath
G - Variable in class jline.io.Ret.pfqnNc
G - Variable in class jline.io.Ret.pfqnNcComplex
G - Variable in class jline.io.Ret.pfqnNcldmx
G - Variable in class jline.io.Ret.pfqnNcSym: The normalizing constant, exactly.
G - Variable in class jline.io.Ret.pfqnNcXQ
G - Variable in class jline.io.Ret.pfqnOiNc
G - Variable in class jline.io.Ret.pfqnProcomom2
G - Variable in class jline.io.Ret.pfqnSensMom
G - Variable in class jline.lib.smc.MG1_ETAQA.ETAQAResult
G - Variable in class jline.solvers.mam.handlers.BMAPMAP1Result: G matrix
G - Variable in class jline.solvers.nc.SolverNC.SolverNCJointReturn
G - Variable in class jline.solvers.nc.SolverNC.SolverNCMargReturn
G1 - Variable in class jline.api.dpfqn.DpfqnNcResult: Arrival normalizing constants, G1[k] = G_1(k,J) for k = 0..N.
Gallery - Class in jline.examples.java.models: Gallery of simple and classical queueing models
Gallery() - Constructor for class jline.examples.java.models.Gallery
gallery_aphm1() - Static method in class jline.examples.java.models.Gallery: APH/M/1 queue with Acyclic Phase-Type arrivals.
gallery_cache_lru() - Static method in class jline.examples.java.models.Gallery
gallery_cache_routing() - Static method in class jline.examples.java.models.Gallery
gallery_coxm1() - Static method in class jline.examples.java.models.Gallery: Cox/M/1 queue with Coxian arrivals.
gallery_cqn() - Static method in class jline.examples.java.models.Gallery: Default closed queueing network with 2 stations.
gallery_cqn(int) - Static method in class jline.examples.java.models.Gallery: Closed queueing network with specified number of stations.
gallery_cqn(int, boolean) - Static method in class jline.examples.java.models.Gallery: Closed queueing network with optional delay station.
gallery_cqn(int, boolean, long) - Static method in class jline.examples.java.models.Gallery: Parameterized closed queueing network generator.
gallery_cqn_multiclass() - Static method in class jline.examples.java.models.Gallery
gallery_cqn_multiclass(int, int) - Static method in class jline.examples.java.models.Gallery
gallery_cqn_multiclass(int, int, boolean) - Static method in class jline.examples.java.models.Gallery
gallery_cqn_multiclass(int, int, boolean, long) - Static method in class jline.examples.java.models.Gallery
gallery_detm1() - Static method in class jline.examples.java.models.Gallery
gallery_dm1() - Static method in class jline.examples.java.models.Gallery
gallery_erldk() - Static method in class jline.examples.java.models.Gallery
gallery_erldk(int) - Static method in class jline.examples.java.models.Gallery
gallery_erlerl1() - Static method in class jline.examples.java.models.Gallery
gallery_erlerl1(int) - Static method in class jline.examples.java.models.Gallery
gallery_erlerl1_reentrant() - Static method in class jline.examples.java.models.Gallery
gallery_erlerl1_reentrant(int) - Static method in class jline.examples.java.models.Gallery
gallery_erlm1() - Static method in class jline.examples.java.models.Gallery
gallery_erlm1_ps() - Static method in class jline.examples.java.models.Gallery
gallery_erlm1_reentrant() - Static method in class jline.examples.java.models.Gallery
gallery_erlm1ps() - Static method in class jline.examples.java.models.Gallery
gallery_fcr() - Static method in class jline.examples.java.models.Gallery
gallery_fcr(int) - Static method in class jline.examples.java.models.Gallery
gallery_fj_closed() - Static method in class jline.examples.java.models.Gallery
gallery_fj_open() - Static method in class jline.examples.java.models.Gallery
gallery_fj_quorum() - Static method in class jline.examples.java.models.Gallery: A closed fork-join whose join fires on a 2-of-3 QUORUM: the third sibling is discarded when it arrives.
gallery_gamm1() - Static method in class jline.examples.java.models.Gallery
gallery_hyperl1_feedback() - Static method in class jline.examples.java.models.Gallery
gallery_hyperl1_reentrant() - Static method in class jline.examples.java.models.Gallery
gallery_hyperlk() - Static method in class jline.examples.java.models.Gallery
gallery_hyperlk(int) - Static method in class jline.examples.java.models.Gallery
gallery_hyphyp1_linear() - Static method in class jline.examples.java.models.Gallery
gallery_hyphyp1_linear(int) - Static method in class jline.examples.java.models.Gallery
gallery_hyphyp1_linear(int, Double) - Static method in class jline.examples.java.models.Gallery
gallery_hyphyp1_reentrant() - Static method in class jline.examples.java.models.Gallery
gallery_hyphyp1_tandem() - Static method in class jline.examples.java.models.Gallery
gallery_hypm1() - Static method in class jline.examples.java.models.Gallery
gallery_hypm1_reentrant() - Static method in class jline.examples.java.models.Gallery
gallery_lqn_basic() - Static method in class jline.examples.java.models.Gallery
gallery_lqn_random() - Static method in class jline.examples.java.models.Gallery
gallery_lqn_random(long) - Static method in class jline.examples.java.models.Gallery
gallery_lqn_workflows() - Static method in class jline.examples.java.models.Gallery
gallery_lukumar_reentrant() - Static method in class jline.examples.java.models.Gallery
gallery_lukumar_reentrant(String) - Static method in class jline.examples.java.models.Gallery
gallery_mapm1() - Static method in class jline.examples.java.models.Gallery
gallery_mapm1(MAP) - Static method in class jline.examples.java.models.Gallery
gallery_mapmk() - Static method in class jline.examples.java.models.Gallery
gallery_mapmk(MAP) - Static method in class jline.examples.java.models.Gallery
gallery_mapmk(MAP, int) - Static method in class jline.examples.java.models.Gallery
gallery_mdk() - Static method in class jline.examples.java.models.Gallery
gallery_mdk(int) - Static method in class jline.examples.java.models.Gallery
gallery_merl1() - Static method in class jline.examples.java.GettingStarted: Helper method to create M/E/1 model (equivalent to gallery_merl1).
gallery_merl1() - Static method in class jline.examples.java.models.Gallery
gallery_merl1_linear() - Static method in class jline.examples.java.models.Gallery
gallery_merl1_linear(int) - Static method in class jline.examples.java.models.Gallery
gallery_merl1_linear(int, Double) - Static method in class jline.examples.java.models.Gallery
gallery_merl1_reentrant() - Static method in class jline.examples.java.models.Gallery
gallery_merl1_tandem() - Static method in class jline.examples.java.models.Gallery
gallery_merlk() - Static method in class jline.examples.java.models.Gallery
gallery_merlk(int) - Static method in class jline.examples.java.models.Gallery
gallery_mhyp1() - Static method in class jline.examples.java.models.Gallery
gallery_mhyp1_linear() - Static method in class jline.examples.java.models.Gallery
gallery_mhyp1_linear(int) - Static method in class jline.examples.java.models.Gallery
gallery_mhyp1_linear(int, Double) - Static method in class jline.examples.java.models.Gallery
gallery_mhyp1_reentrant() - Static method in class jline.examples.java.models.Gallery
gallery_mhyp1_tandem() - Static method in class jline.examples.java.models.Gallery
gallery_mhypk() - Static method in class jline.examples.java.models.Gallery
gallery_mhypk(int) - Static method in class jline.examples.java.models.Gallery
gallery_mm1() - Static method in class jline.examples.java.models.Gallery: Classic M/M/1 queue.
gallery_mm1_feedback() - Static method in class jline.examples.java.models.Gallery
gallery_mm1_feedback(double) - Static method in class jline.examples.java.models.Gallery: M/M/1 queue with feedback routing.
gallery_mm1_linear() - Static method in class jline.examples.java.models.Gallery
gallery_mm1_linear(Integer) - Static method in class jline.examples.java.models.Gallery
gallery_mm1_linear(Integer, Double) - Static method in class jline.examples.java.models.Gallery
gallery_mm1_multiclass() - Static method in class jline.examples.java.models.Gallery
gallery_mm1_prio() - Static method in class jline.examples.java.models.Gallery
gallery_mm1_ps() - Static method in class jline.examples.java.models.Gallery
gallery_mm1_ps_feedback() - Static method in class jline.examples.java.models.Gallery
gallery_mm1_ps_feedback(double) - Static method in class jline.examples.java.models.Gallery
gallery_mm1_ps_multiclass() - Static method in class jline.examples.java.models.Gallery
gallery_mm1_ps_reentrant() - Static method in class jline.examples.java.models.Gallery
gallery_mm1_reentrant() - Static method in class jline.examples.java.models.Gallery
gallery_mm1_tandem() - Static method in class jline.examples.java.models.Gallery
gallery_mm1_tandem(Double) - Static method in class jline.examples.java.models.Gallery
gallery_mm1_tandem_multiclass() - Static method in class jline.examples.java.models.Gallery
gallery_mm1k() - Static method in class jline.examples.java.models.Gallery
gallery_mm1k(int) - Static method in class jline.examples.java.models.Gallery
gallery_mmap1() - Static method in class jline.examples.java.models.Gallery
gallery_mmap1(MAP) - Static method in class jline.examples.java.models.Gallery
gallery_mmap1_multiclass() - Static method in class jline.examples.java.models.Gallery
gallery_mmap1_multiclass(MAP, MAP) - Static method in class jline.examples.java.models.Gallery
gallery_mmapk() - Static method in class jline.examples.java.models.Gallery
gallery_mmapk(MAP, int) - Static method in class jline.examples.java.models.Gallery
gallery_mmk() - Static method in class jline.examples.java.models.Gallery
gallery_mmk(int) - Static method in class jline.examples.java.models.Gallery: M/M/k queue with multiple servers.
gallery_mpar1() - Static method in class jline.examples.java.models.Gallery
gallery_multitier() - Static method in class jline.examples.java.models.Gallery
gallery_multitier_storage() - Static method in class jline.examples.java.models.Gallery
gallery_parm1() - Static method in class jline.examples.java.models.Gallery
gallery_qn_random() - Static method in class jline.examples.java.models.Gallery
gallery_qn_random(long) - Static method in class jline.examples.java.models.Gallery
gallery_renv_breakdown() - Static method in class jline.examples.java.models.Gallery
gallery_repairmen() - Static method in class jline.examples.java.models.Gallery
gallery_repairmen(int) - Static method in class jline.examples.java.models.Gallery
gallery_repairmen(int, long) - Static method in class jline.examples.java.models.Gallery: Machine repair model (repairmen problem).
gallery_replayerm1() - Static method in class jline.examples.java.models.Gallery
gallery_replayerm1(String) - Static method in class jline.examples.java.models.Gallery
gallery_um1() - Static method in class jline.examples.java.models.Gallery
GalleryTwins - Class in jline.examples.parity: Register the model gallery as the test_gallery_* parity twins.
gamma - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: The drift certificate; strictly positive on success.
gamma - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
gamma - Variable in class jline.io.Ret.cacheGamma
gamma - Variable in class jline.io.Ret.npfqnNonexpApprox
gamma(double, double) - Static method in class jline.api.qsys.QsysServiceLaw: Gamma(shape, scale).
Gamma - Class in jline.lang.processes: A Gamma distribution.
Gamma(double, double) - Constructor for class jline.lang.processes.Gamma
GAMMA - Enum constant in enum jline.api.qsys.QsysServiceLaw.Kind: Gamma(shape, scale); shape 1 is exponential, integer shape Erlang.
GAMMA - Enum constant in enum jline.lang.constant.ProcessType
gammaFunction(double) - Static method in class jline.util.Maths: Computes the gamma function via Lanczos approximation formula.
gammaT - Variable in class jline.api.infer.InferLqnOptions
gate(double, boolean, boolean, double) - Static method in class jline.solvers.ctmc.MemoryGuard: Hardware-aware, calibrated pre-gate.
GATED - Enum constant in enum jline.lang.constant.PollingType
GateResult(boolean, String) - Constructor for class jline.solvers.ctmc.MemoryGuard.GateResult
gaverstehfest - Class in jline.lib.lti
Gc - Variable in class jline.api.dpfqn.DpfqnNcLdResult: Complement constants of the cycle with node j removed, indexed [j][k].
gdistinct(double[], double, int) - Static method in class jline.api.pfqn.nc.Pfqn_explicit: Eq.
gdscaling - Variable in class jline.lang.NetworkStruct
gdscalingcutoff - Variable in class jline.lang.NetworkStruct
gdscalingpeak - Variable in class jline.lang.NetworkStruct
ge - Variable in class jline.api.spn.Spn_rec_enabled.SpnEnabling: ge[k] is the mass of {e >= k}; ge[0] is the whole reachable set.
geFit(double, double) - Static method in class jline.api.fj.FJ_tail_forktail: Matches a generalized exponential law on a mean and a variance.
GEFit(double, double) - Constructor for class jline.api.fj.FJ_tail_forktail.GEFit
GeneralFluidSolution - Class in jline.lib.butools.mam: Result class for GeneralFluidSolve containing the parameters of the matrix-exponentially distributed stationary distribution.
GeneralFluidSolution(Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.lib.butools.mam.GeneralFluidSolution
generalFluidSolve(Matrix, Matrix) - Static method in class jline.lib.butools.mam.GeneralFluidSolve
generalFluidSolve(Matrix, Matrix, Matrix) - Static method in class jline.lib.butools.mam.GeneralFluidSolve
generalFluidSolve(Matrix, Matrix, Matrix, double) - Static method in class jline.lib.butools.mam.GeneralFluidSolve: Returns the parameters of the matrix-exponentially distributed stationary distribution of a general Markovian fluid model.
GeneralFluidSolve - Class in jline.lib.butools.mam
generalizationOf(String) - Static method in class jline.lang.FeatureSet: The registry name a specialization falls back to when it is not declared, or null when the feature stands on its own.
generate() - Method in class jline.gen.NetworkGenerator: Main function to call.
generate(int) - Method in class jline.gen.NetworkGenerator
generate(int, int, int, int) - Method in class jline.gen.LayeredNetworkGenerator: Main function to call.
generate(int, Integer) - Method in class jline.gen.NetworkGenerator
generate(int, Integer, int) - Method in class jline.gen.NetworkGenerator
generate(int, Integer, int, int) - Method in class jline.gen.NetworkGenerator
generate(Object) - Static method in class jline.io.LINE2JAVA: Returns the generated source.
generate(Object) - Static method in class jline.io.LINE2MATLAB: Returns the generated script.
generate(LayeredNetwork) - Static method in class jline.io.LQN2JAVA: Returns the generated program for a model named after model.getName().
generate(LayeredNetwork) - Static method in class jline.io.LQN2MATLAB: Returns the generated script for a model named after model.getName().
generate(LayeredNetwork, String) - Static method in class jline.io.LQN2JAVA: Returns the generated program.
generate(LayeredNetwork, String) - Static method in class jline.io.LQN2MATLAB: Returns the generated script.
generate(Network) - Static method in class jline.io.QN2JAVA: Returns the generated method, with headers, for a model named after model.getName().
generate(Network) - Static method in class jline.io.QN2MATLAB: Returns the generated script for a model named after model.getName().
generate(Network, String) - Static method in class jline.io.QN2JAVA: Returns the generated method, with headers.
generate(Network, String) - Static method in class jline.io.QN2MATLAB: Returns the generated script.
generate(Network, String, boolean) - Static method in class jline.io.QN2JAVA: Returns the generated code; headers adds the ex() method signature and return.
generateClassLinks() - Method in class jline.lang.Network
generateComplexityReport() - Method in class jline.api.wf.WorkflowManager
generateEnvironmentTikZ(String[], double[][]) - Method in class jline.io.tikz.TikZExporter: Generates TikZ code for a combined network + Markov chain diagram.
generateGraph() - Method in class jline.lang.layered.LayeredNetwork: Generates the graph representation of the layered network.
generateMarginal(PermSolver) - Method in class jline.lib.perm.NetworkNoThink
generateMarginal(PermSolver) - Method in class jline.lib.perm.NetworkThink
generateMarginal(PermSolver, boolean) - Method in class jline.lib.perm.NetworkNoThink
generateMarginal(PermSolver, boolean) - Method in class jline.lib.perm.NetworkThink
generateName() - Method in class jline.opt.objectives.BudgetConstraint
generateName() - Method in class jline.opt.objectives.Constraint
generateName() - Method in class jline.opt.objectives.ResponseTimeConstraint
generateName() - Method in class jline.opt.objectives.SystemResponseTimeConstraint
generateName() - Method in class jline.opt.objectives.ThroughputConstraint
generateName() - Method in class jline.opt.objectives.UtilizationConstraint
generateRandomSeed() - Static method in class jline.util.RandomManager: Generates a random seed using the same formula as SolverOptions.
generateSequenceDiagram() - Method in class jline.io.tikz.SequenceDiagramExporter: Generates the complete LaTeX document with UML sequence diagram.
generateService(FJService, FJServiceH, int, Matrix) - Static method in class jline.lib.fjcodes.GenerateService: Generate Phase-Type representation for service time.
GenerateService - Class in jline.lib.fjcodes
GenerateServiceResult - Class in jline.lib.fjcodes: Result of generateService.
GenerateServiceResult(Matrix, int, int) - Constructor for class jline.lib.fjcodes.GenerateServiceResult
generateTikZ() - Method in class jline.io.tikz.TikZExporter: Generates TikZ code for the network.
generator - Variable in class jline.lib.kpctoolbox.mc.CTMC.CTMCSolveResult
generator() - Method in class jline.solvers.ctmc.SolverCTMC: Alias of SolverCTMC.getGenerator().
generator(int, Matrix, Matrix[], Matrix[], Matrix[], int[], int[], int, int[]) - Static method in class jline.solvers.ag.AgAgent: Agent k's generator at the reversed rates x.
generatorResult(Matrix, MatrixCell, Map<Integer, Sync>) - Constructor for class jline.solvers.ctmc.SolverCTMC.generatorResult
generators - Variable in class jline.solvers.ag.AGResult: Generator of every agent at the fixed point.
generators - Variable in class jline.solvers.mam.MAMResult
genFilename(String) - Static method in class jline.util.MatFileUtils: Generates a timestamp-based filename for .mat files in the appropriate workspace directory
genHarmonic(double, int) - Static method in class jline.lang.processes.Zipf: Generate harmonic numbers to normalize a Zipf-like distribution on n items with shape s
GenMatrixResult(double[][], double[][], double[][]) - Constructor for class jline.api.pfqn.nc.Pfqn_comom.GenMatrixResult
GeoGeo1Convention - Enum in jline.api.dqsys: Observation epoch for a discrete-time Geo/Geo/1 queue.
GeoGeo1Result - Class in jline.api.dqsys: Result of a discrete-time Geo/Geo/1 queue analysis.
GeoGeo1Result(GeoGeo1Convention, double, double, double, double, double, double, double, double, double, double, double) - Constructor for class jline.api.dqsys.GeoGeo1Result
geomData - Variable in class jline.solvers.ag.handlers.INAPResult
Geometric - Class in jline.lang.processes: A Geometric distribution.
Geometric(double) - Constructor for class jline.lang.processes.Geometric
GEOMETRIC - Enum constant in enum jline.api.fj.FJ_charmax_ext.DiscreteDist
GEOMETRIC - Enum constant in enum jline.lang.constant.ProcessType
GeoXGeo1Result - Class in jline.api.dqsys: Result of a discrete-time Geo^X/Geo/1 queue analysis.
GeoXGeo1Result(GeoGeo1Convention, double, double, double, double, double, double, double, double, double, double, double, double) - Constructor for class jline.api.dqsys.GeoXGeo1Result
geq(double) - Method in class jline.api.mapqn.Mapqn_lpmodel.LinearConstraintBuilder
get() - Method in interface jline.io.LineResultRecorder.Body
get() - Method in class jline.solvers.AvgHandle: Retrieves the complete data structure containing all metrics.
get(int) - Method in class jline.solvers.AvgTable: Retrieves a specific column from the table as a list.
get(int) - Method in class jline.solvers.LayeredNetworkAvgTable
get(int) - Method in class jline.solvers.NetworkAvgCacheTable
get(int) - Method in class jline.solvers.NetworkAvgChainTable
get(int) - Method in class jline.solvers.NetworkAvgItemTable
get(int) - Method in class jline.solvers.NetworkAvgNodeChainTable
get(int) - Method in class jline.solvers.NetworkAvgNodeTable
get(int) - Method in class jline.solvers.NetworkAvgOrbitTable
get(int) - Method in class jline.solvers.NetworkAvgSysTable
get(int) - Method in class jline.solvers.NetworkAvgTable: Returns the values from the specified column.
get(int) - Method in class jline.solvers.NetworkLossTable
get(int) - Method in class jline.solvers.NetworkMomentChainTable: Returns the values of the given numeric column.
get(int) - Method in class jline.solvers.NetworkMomentStationTable: Returns the values of the given numeric column.
get(int) - Method in class jline.solvers.NetworkMomentTable: Returns the values of the given numeric column.
get(int) - Method in class jline.solvers.NetworkSensitivityTable: Returns the values of the given numeric column.
get(int) - Method in class jline.util.matrix.ColumnView: Returns the value at the specified row in this column.
get(int) - Method in class jline.util.matrix.ComplexMatrix: Gets the complex element at the specified linear index.
get(int) - Method in class jline.util.matrix.Matrix: Returns the value at the specified index.
get(int) - Method in class jline.util.matrix.MatrixCell: Retrieves the matrix stored at the specified index.
get(int) - Method in class jline.util.matrix.RowView: Returns the value at the specified column in this row.
get(int) - Method in class jline.util.matrix.SymMatrix: Linear access in row-major order, as ComplexMatrix.get(int) offers.
get(int, int) - Method in class jline.lang.ClassSwitchMatrix
get(int, int) - Method in class jline.lang.RoutingMatrix
get(int, int) - Method in class jline.util.matrix.BaseMatrix: Returns the value at the specified matrix position.
get(int, int) - Method in class jline.util.matrix.ComplexMatrix: Gets the complex element at the specified position.
get(int, int) - Method in class jline.util.matrix.DenseMatrix: Returns the value at the specified matrix position.
get(int, int) - Method in class jline.util.matrix.Matrix: Returns the value at the specified row and column.
get(int, int) - Method in class jline.util.matrix.SparseMatrix: Returns the value at the specified matrix position.
get(int, int) - Method in class jline.util.matrix.SymMatrix
get(int, int, int, int) - Method in class jline.lang.RoutingMatrix
get(String) - Method in class jline.lang.ModelAttribute: Reads a metadata field.
get(String) - Method in class jline.solvers.SolverOptions.Config: Retrieve a configuration parameter
get(JobClass, JobClass) - Method in class jline.lang.RoutingMatrix
get(JobClass, JobClass, Node, Node) - Method in class jline.lang.RoutingMatrix
get(NetworkStruct, int, int) - Static method in class jline.lang.state.CtmcMapc: The pair form of class r at station ist, or null when the service is not in pair form.
get(Station) - Method in class jline.solvers.AvgHandle: Retrieves all metrics for a specific station across all job classes.
get(Station, JobClass) - Method in class jline.solvers.AvgHandle: Retrieves the metric for a specific station and job class.
get(EventCacheKey) - Method in class jline.lang.state.EventCache
get(Polling.Info, Matrix, int) - Static method in class jline.lang.state.Polling: Read the polling controller out of the local-variable columns of a single state row.
getA() - Method in class jline.lang.processes.ME: Gets the matrix parameter A.
getA() - Method in class jline.lib.butools.dph.MGFromMoments.MGRepresentation
getA() - Method in class jline.lib.butools.ph.MERepresentation
getA() - Method in class jline.lib.butools.ph.PH3Representation
getA() - Method in class jline.lib.butools.ph.PHRepresentation
getA_1() - Method in class jline.api.mam.QbdMapMap1Result
getA_jump() - Method in class jline.lib.fjcodes.SAResult
getA0() - Method in class jline.api.mam.QbdMapMap1Result
getA1() - Method in class jline.api.mam.QbdMapMap1Result
getAbsorbingStations() - Method in class jline.lang.Network: The stations that are absorbing: once a job enters, it never leaves.
getAbsorbingStations(Network) - Static method in class jline.lang.RoutingErgodicity: The absorbing stations as model objects, the Sink excluded.
getAccessProb(int, int) - Method in class jline.lang.nodes.Cache: Gets the access probability matrix for a specific cache level and job class.
getACF(double[]) - Method in class jline.lang.processes.Markovian: Computes the autocorrelation of the inter-event times at the given lags, supplied as a plain array.
getACF(Matrix) - Method in class jline.lang.processes.Markovian: Gets the autocorrelation function at the specified lags.
getACFDecay() - Method in class jline.lang.processes.MarkovModulated
getACFDecay(Matrix) - Method in class jline.lang.processes.MMPP2
getActive() - Method in class jline.lang.GlobalSync
getActivities() - Method in class jline.lang.layered.LayeredNetwork
getActivities() - Method in class jline.lang.layered.Task: Returns the list of activities for this task.
getActivities() - Method in class jline.lang.NetworkAttribute
getActivities() - Method in class jline.lang.workflow.Workflow
getActivity() - Method in class jline.opt.variables.HostDemand
getActivity(String) - Method in class jline.lang.workflow.Workflow
getActivityLevel(Activity) - Method in class jline.io.tikz.SequenceDiagramLayoutEngine
getAdmissionProb() - Method in class jline.lang.nodes.Cache
getAggrQLen(Node) - Method in class jline.inference.lang.ParamEstimator
getAggrQLen(Node, ConditionEvent) - Method in class jline.inference.lang.ParamEstimator
getAggrUtil(Node) - Method in class jline.inference.lang.ParamEstimator
getAGResult() - Method in class jline.solvers.ag.SolverAG: The converged reversed rates and the agents they induce, in addition to the mean measures returned by getAvg.
getAlfa() - Method in class jline.lang.Metric
getAlfa() - Method in class jline.lib.fjcodes.ReturnWaitResult
getAllCdfData() - Method in class jline.io.Ret.DistributionResult: Gets the complete CDF data structure.
getAllJumps() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Precomputed jump matrix of the closing method (dimension x numEvents).
getAllowReplace() - Method in class jline.lang.Network
getAllPositions() - Method in class jline.io.tikz.TikZLayoutEngine: Gets all computed positions.
getAllSolvers(Network) - Static method in class jline.solvers.NetworkSolver: Returns a list containing instances of all available network solvers for the given model.
getalpha(int) - Static method in class jline.lib.lti.euler
getalpha(int) - Static method in class jline.lib.lti.gaverstehfest
getalpha(int) - Static method in class jline.lib.lti.talbot
getAlpha() - Method in class jline.api.aoi.Aoi_dist2phResult
getAlpha() - Method in class jline.api.qsys.RetrialInfo
getAlpha() - Method in class jline.api.wf.Wf_pattern_updater.ServiceParameters
getAlpha() - Method in class jline.lang.ModelAdapter.AggregateChainResult
getAlpha() - Method in class jline.lang.processes.ME: Gets the initial vector alpha.
getAlpha() - Method in class jline.lang.processes.MPH: The 1-by-h entry law.
getAlpha() - Method in class jline.lib.butools.dph.MGFromMoments.MGRepresentation
getAlpha() - Method in class jline.lib.butools.ph.MERepresentation
getAlpha() - Method in class jline.lib.butools.ph.PH3Representation
getAlpha() - Method in class jline.lib.butools.ph.PHRepresentation
getAlphaAt(double) - Method in class jline.lang.processes.PHt: alpha in force at t; the last segment's row past a non-cyclic horizon.
getAlphaSegments() - Method in class jline.lang.processes.MPHt
getAlphaSegments() - Method in class jline.lang.processes.PHt
getAlphaSegments() - Method in class jline.lang.processes.PHt.RateSchedule
getAlternative(int) - Method in class jline.lang.processes.Prior: Returns the distribution at the specified index.
getAlternativeSolvers() - Method in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
getAnalyzedSamples() - Method in class jline.lang.Metric
getAnalyzer() - Method in class jline.api.qsys.QsysMapDcResult
getAnalyzer() - Method in class jline.api.qsys.QsysMapPhcResult
getAnalyzer() - Method in class jline.api.qsys.QsysMapPhResult
getAnalyzer() - Method in class jline.api.qsys.QsysMmapGk1Result
getAnalyzer() - Method in class jline.api.qsys.QsysRetrialResult
getAoiA() - Method in class jline.api.aoi.AoiMfqResult
getAoiG() - Method in class jline.api.aoi.AoiMfqResult
getAoiH() - Method in class jline.api.aoi.AoiMfqResult
getAoiMean() - Method in class jline.api.aoi.AoiMfqResult
getAoiVar() - Method in class jline.api.aoi.AoiMfqResult
getArrChoice() - Method in class jline.lib.fjcodes.FJArrival
getArrival() - Method in class jline.lang.layered.Entry: Gets the open arrival distribution for this entry.
getArrivalBatch(JobClass) - Method in class jline.lang.nodes.Source
getArrivalDistribution(JobClass) - Method in class jline.lang.nodes.Source: Gets the arrival distribution for a specific job class.
getArrivalProb() - Method in class jline.api.dqsys.GeoGeo1Result: Per-slot arrival probability a.
getArrivalProcess(JobClass) - Method in class jline.lang.nodes.Source: Gets the arrival process distribution for a specific job class.
getArrivalRate() - Method in class jline.api.dqsys.GeoXGeo1Result: Jobs arriving per slot, a*E[X].
getArrivalRate() - Method in class jline.api.qsys.QsysMmapGk1Result
getArrivalRate() - Method in class jline.api.trace.Mtrace_bootstrap.TraceStatistics
getArrivalType() - Method in class jline.api.aoi.AoiParams
getArvproc_classes_updmap() - Method in class jline.solvers.ln.SolverLN
getArvR() - Method in class jline.solvers.LayeredNetworkAvgTable
getArvR() - Method in class jline.solvers.NetworkAvgCacheTable
getArvR() - Method in class jline.solvers.NetworkAvgChainTable
getArvR() - Method in class jline.solvers.NetworkAvgNodeChainTable
getArvR() - Method in class jline.solvers.NetworkAvgNodeTable
getArvR() - Method in class jline.solvers.NetworkAvgTable
getArvR() - Method in class jline.solvers.NetworkLossTable
getArvR(Node, JobClass) - Method in class jline.inference.lang.ParamEstimator
getArvRates() - Method in class jline.solvers.ctmc.ResultCTMC
getAsymptoticVariance(double[]) - Method in class jline.solvers.ctmc.SolverCTMC: The asymptotic variance of the time-average of a reward along a sample path of this model's CTMC.
getAsymptoticVariance(Function<double[], Double>) - Method in class jline.solvers.ctmc.SolverCTMC: The same, with the reward given as a function of the STATE ROW rather than as a vector; the state space is the one the generator was built from.
getAsyncCallDests() - Method in class jline.lang.layered.Activity
getAsyncCallMeans() - Method in class jline.lang.layered.Activity
getAttribute() - Method in class jline.lang.JobClass
getAttribute() - Method in class jline.lang.Model: Gets the metadata container of this model, twin of the MATLAB Model.attribute property.
getAttribute() - Method in class jline.lang.Network
getAttribute() - Method in class jline.lang.nodes.Node: Gets the attribute object containing additional metadata for this node.
getAvailableMemoryBytes() - Static method in class jline.solvers.ctmc.MemoryGuard: Portable memory budget probe (bytes).
getAvailableModels() - Static method in class jline.unified.ModelRegistry: Get list of all registered model names
getAvg() - Method in class jline.solvers.auto.SolverAUTO
getAvg() - Method in class jline.solvers.ctmc.SolverCTMC
getAvg() - Method in class jline.solvers.env.SolverENV
getAvg() - Method in class jline.solvers.ldes.SolverLDES: Computes and returns average station metrics at steady-state.
getAvg() - Method in class jline.solvers.NetworkSolver
getAvg() - Method in class jline.solvers.wrappers.lqns.SolverLQNS
getAvg(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Computes and returns average station metrics at steady-state using individual handles.
getAvg(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Computes and returns average station metrics at steady-state using specified handles.
getAvgAoI() - Method in class jline.solvers.fluid.SolverFluid: Get average Age of Information metrics.
getAvgArvR() - Method in class jline.solvers.auto.SolverAUTO: Get average arrival rates at steady-state
getAvgArvR() - Method in class jline.solvers.NetworkSolver: Computes and returns average arrival rates at steady-state.
getAvgArvRChain() - Method in class jline.solvers.auto.SolverAUTO
getAvgArvRChain() - Method in class jline.solvers.NetworkSolver: Returns average arrival rates aggregated by job chains.
getAvgArvRHandles() - Method in class jline.lang.Network
getAvgArvRHandles() - Method in class jline.solvers.fluid.SolverFluid: Get arrival rate handles with fluid-specific validation
getAvgArvRHandles() - Method in class jline.solvers.NetworkSolver: Returns the average arrival rate metric handles.
getAvgArvRHandles() - Method in class jline.solvers.SolverAvgHandles
getAvgBusyPeriod(int[], int) - Method in class jline.solvers.nc.SolverNC: Single-order form of SolverNC.getAvgBusyPeriod(int[], int[]).
getAvgBusyPeriod(int[], int[]) - Method in class jline.solvers.nc.SolverNC: Mean duration of the busy period of order n for the subnetwork made of the given stations, that is the time from the instant a job entering the subnetwork finds n-1 jobs in it up to the next instant when fewer than n remain.
getAvgBusyPeriod(int[], int, int) - Method in class jline.solvers.ldes.SolverLDES: Mean busy period of order n for a set of stations, measured along the simulated sample path.
getAvgCacheResults() - Method in class jline.solvers.env.SolverENV: The cache surface this environment solve produced, one record per Cache node, or null when it reached none.
getAvgCacheT() - Method in class jline.solvers.NetworkSolver
getAvgCacheTable() - Method in class jline.solvers.ldes.SolverLDES: Cache performance table for a layered cache-queueing (LCQ) model: one row per CacheTask read (ItemEntry), reporting hit / delayed-hit / miss probabilities and rates.
getAvgCacheTable() - Method in class jline.solvers.NetworkSolver: Returns a table of detailed per-class cache performance metrics for every Cache node: a total row (List=0) per cache+read class plus, where the solver reports per-list hit probabilities and the cache has more than one list, one row per cache list.
getAvgCacheTableImpl() - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgCacheTable(), split out so LineResultRecorder sees what the getter RETURNED.
getAvgChain() - Method in class jline.solvers.auto.SolverAUTO
getAvgChain() - Method in class jline.solvers.NetworkSolver: Returns average station metrics aggregated by job chains.
getAvgChainTable() - Method in class jline.solvers.auto.SolverAUTO
getAvgChainTable() - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics aggregated by job chains.
getAvgChainTable(boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics aggregated by job chains with keepDisabled option.
getAvgChainTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics aggregated by job chains using individual handles.
getAvgChainTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics aggregated by job chains using individual handles and keepDisabled option.
getAvgChainTable(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics aggregated by job chains using specified handles.
getAvgChainTable(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics aggregated by job chains using specified handles and keepDisabled option.
getAvgChainTableImpl() - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgChainTable(), split out so LineResultRecorder sees what the getter RETURNED.
getAvgChainTableImpl(boolean) - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgChainTable(boolean), split out so LineResultRecorder sees what the getter RETURNED.
getAvgHandles() - Method in class jline.lang.Network
getAvgHandles() - Method in class jline.solvers.fluid.SolverFluid: Enhanced method to get average handles with validation
getAvgHandles() - Method in class jline.solvers.NetworkSolver: Returns the steady-state average performance metric handles.
getAvgItemT() - Method in class jline.solvers.NetworkSolver
getAvgItemTable() - Method in class jline.solvers.NetworkSolver: Returns a table of item-level cache occupancy: one row per Cache node, item and cache list (level), with the steady-state probability the item resides in that list.
getAvgItemTableImpl() - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgItemTable(), split out so LineResultRecorder sees what the getter RETURNED.
getAvgJobsPerChain() - Method in class jline.solvers.auto.ModelAnalyzer: Get average jobs per chain
getAvgLossT() - Method in class jline.solvers.NetworkSolver
getAvgLossTable() - Method in class jline.solvers.NetworkSolver: Returns a table of loss (drop) metrics for every station-class pair that receives offered traffic: offered arrival rate, carried throughput, loss rate (ArvR - Tput) and loss ratio (LossRate / ArvR).
getAvgNode() - Method in class jline.solvers.auto.SolverAUTO
getAvgNode() - Method in class jline.solvers.NetworkSolver: Computes average performance metrics at steady-state for all nodes.
getAvgNode() - Method in class jline.solvers.wrappers.jmt.SolverJMT: Computes average performance metrics at steady-state for all nodes.
getAvgNodeArvRChain() - Method in class jline.solvers.auto.SolverAUTO: Get average node arrival rate by chain
getAvgNodeArvRChain() - Method in class jline.solvers.NetworkSolver: Returns average node arrival rates aggregated by job chains.
getAvgNodeChain() - Method in class jline.solvers.NetworkSolver: Returns average node metrics aggregated by job chains.
getAvgNodeChainTable() - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics aggregated by chains.
getAvgNodeChainTable(boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics aggregated by chains with keepDisabled option.
getAvgNodeChainTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics aggregated by chains using individual handles.
getAvgNodeChainTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics aggregated by chains using individual handles and keepDisabled option.
getAvgNodeChainTable(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics aggregated by chains using specified handles.
getAvgNodeChainTable(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics aggregated by chains using specified handles and keepDisabled option.
getAvgNodeChainTableImpl() - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgNodeChainTable(), split out so LineResultRecorder sees what the getter RETURNED.
getAvgNodeChainTableImpl(boolean) - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgNodeChainTable(boolean), split out so LineResultRecorder sees what the getter RETURNED.
getAvgNodeQLenChain() - Method in class jline.solvers.auto.SolverAUTO: Get average node queue length by chain
getAvgNodeQLenChain() - Method in class jline.solvers.NetworkSolver: Returns average node queue lengths aggregated by job chains.
getAvgNodeResidTChain() - Method in class jline.solvers.auto.SolverAUTO: Get average node residence time by chain
getAvgNodeResidTChain() - Method in class jline.solvers.NetworkSolver: Returns average node residence times aggregated by job chains.
getAvgNodeRespTChain() - Method in class jline.solvers.auto.SolverAUTO: Get average node response time by chain
getAvgNodeRespTChain() - Method in class jline.solvers.NetworkSolver: Returns average node response times aggregated by job chains.
getAvgNodeTable() - Method in class jline.solvers.auto.SolverAUTO
getAvgNodeTable() - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics organized by job classes.
getAvgNodeTable(boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics organized by job classes with keepDisabled option.
getAvgNodeTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics organized by job classes using individual handles.
getAvgNodeTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics organized by job classes using individual handles and keepDisabled option.
getAvgNodeTable(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics organized by job classes using specified handles.
getAvgNodeTable(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average node metrics organized by job classes using specified handles and keepDisabled option.
getAvgNodeTableImpl() - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgNodeTable(), split out so LineResultRecorder sees what the getter RETURNED.
getAvgNodeTableImpl(boolean) - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgNodeTable(boolean), split out so LineResultRecorder sees what the getter RETURNED.
getAvgNodeTputChain() - Method in class jline.solvers.auto.SolverAUTO: Get average node throughput by chain
getAvgNodeTputChain() - Method in class jline.solvers.NetworkSolver: Returns average node throughputs aggregated by job chains.
getAvgNodeUtilChain() - Method in class jline.solvers.auto.SolverAUTO: Get average node utilization by chain
getAvgNodeUtilChain() - Method in class jline.solvers.NetworkSolver: Returns average node utilizations aggregated by job chains.
getAvgOrbit() - Method in class jline.solvers.NetworkSolver: Mean number of jobs waiting in the ORBIT of each retrial station, as an (nstations x nclasses) matrix.
getAvgOrbitT() - Method in class jline.solvers.NetworkSolver
getAvgOrbitTable() - Method in class jline.solvers.NetworkSolver: Table of the mean orbit length of every retrial station-class pair, with the station population and the in-service population it decomposes into.
getAvgOrbitTableImpl() - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgOrbitTable(), split out so LineResultRecorder sees what the getter RETURNED.
getAvgQLen() - Method in class jline.solvers.auto.SolverAUTO: Get average queue lengths at steady-state
getAvgQLen() - Method in class jline.solvers.NetworkSolver: Computes and returns average queue lengths at steady-state.
getAvgQLenChain() - Method in class jline.solvers.auto.SolverAUTO
getAvgQLenChain() - Method in class jline.solvers.NetworkSolver: Returns average queue lengths aggregated by job chains.
getAvgQLenCov() - Method in class jline.solvers.env.SolverENV: The environment-wide queue-length covariance over the (station,class) pairs, available after a "meancov" run.
getAvgQLenHandles() - Method in class jline.lang.Network
getAvgQLenHandles() - Method in class jline.solvers.fluid.SolverFluid: Get queue length handles with fluid-specific validation
getAvgQLenHandles() - Method in class jline.solvers.NetworkSolver: Returns the average queue length metric handles.
getAvgQLenHandles() - Method in class jline.solvers.SolverAvgHandles
getAvgQLenTable() - Method in class jline.solvers.auto.SolverAUTO: Get average queue length table
getAvgQLenVar() - Method in class jline.solvers.env.SolverENV: The diagonal of SolverENV.getAvgQLenCov(), reshaped to (stations x classes).
getAvgRegionLossT() - Method in class jline.solvers.NetworkSolver
getAvgRegionLossTable() - Method in class jline.solvers.NetworkSolver: Returns a table of loss (drop) metrics per finite-capacity region and class, for regions that drop jobs (DROP rule).
getAvgResidT() - Method in class jline.solvers.auto.SolverAUTO: Get average residence times at steady-state
getAvgResidT() - Method in class jline.solvers.NetworkSolver: Computes and returns average residence times in queue (including service).
getAvgResidTChain() - Method in class jline.solvers.auto.SolverAUTO: Get average residence time by chain
getAvgResidTChain() - Method in class jline.solvers.NetworkSolver: Returns average residence times aggregated by job chains.
getAvgResidTHandles() - Method in class jline.lang.Network
getAvgResidTHandles() - Method in class jline.solvers.fluid.SolverFluid: Get residence time handles with fluid-specific validation
getAvgResidTHandles() - Method in class jline.solvers.NetworkSolver: Returns the average residence time metric handles.
getAvgResidTHandles() - Method in class jline.solvers.SolverAvgHandles
getAvgRespT() - Method in class jline.solvers.auto.SolverAUTO: Get average response times at steady-state
getAvgRespT() - Method in class jline.solvers.NetworkSolver: Computes and returns average response times at steady-state.
getAvgRespTChain() - Method in class jline.solvers.auto.SolverAUTO
getAvgRespTChain() - Method in class jline.solvers.NetworkSolver: Returns average response times aggregated by job chains.
getAvgRespTHandles() - Method in class jline.lang.Network
getAvgRespTHandles() - Method in class jline.solvers.fluid.SolverFluid: Get response time handles with fluid-specific validation
getAvgRespTHandles() - Method in class jline.solvers.NetworkSolver: Returns the average response time metric handles.
getAvgRespTHandles() - Method in class jline.solvers.SolverAvgHandles
getAvgRespTTable() - Method in class jline.solvers.auto.SolverAUTO: Get average response time table
getAvgReward() - Method in class jline.solvers.ctmc.SolverCTMC: Get steady-state expected reward for all rewards.
getAvgReward() - Method in class jline.solvers.ldes.SolverLDES: Steady-state expected reward for every reward function defined on the model.
getAvgReward(String) - Method in class jline.solvers.ctmc.SolverCTMC: Get steady-state expected reward for a specific reward.
getAvgReward(String) - Method in class jline.solvers.ldes.SolverLDES: Steady-state expected reward for a single named reward function.
getAvgSys() - Method in class jline.solvers.auto.SolverAUTO
getAvgSys() - Method in class jline.solvers.NetworkSolver: Computes average system-level metrics at steady state.
getAvgSys(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Computes average system-level metrics at steady state using individual handles.
getAvgSys(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Computes average system-level metrics at steady state using specified handles.
getAvgSysRespT() - Method in class jline.solvers.auto.SolverAUTO
getAvgSysRespT() - Method in class jline.solvers.NetworkSolver: Returns average system response times at steady state.
getAvgSysTable() - Method in class jline.solvers.auto.SolverAUTO
getAvgSysTable() - Method in class jline.solvers.NetworkSolver: Returns a table of average system-level metrics.
getAvgSysTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Returns a table of average system-level metrics using individual handles.
getAvgSysTable(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Returns a table of average system-level metrics using specified handles.
getAvgSysTableImpl() - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgSysTable(), split out so LineResultRecorder sees what the getter RETURNED.
getAvgSysTardHandles() - Method in class jline.lang.Network: Mean system tardiness handles, SysTard(1,r) for class r.
getAvgSysTardHandles() - Method in class jline.solvers.SolverAvgHandles: Mean system tardiness handles, SysTard(1,r) for class r.
getAvgSysTput() - Method in class jline.solvers.auto.SolverAUTO
getAvgSysTput() - Method in class jline.solvers.NetworkSolver: Returns average system throughputs at steady state.
getAvgT() - Method in class jline.solvers.EnsembleSolver
getAvgT() - Method in class jline.solvers.NetworkSolver: Alias for getAvgTable().
getAvgT(boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgTable(boolean keepDisabled).
getAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Alias for getAvgTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
getAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
getAvgT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Alias for getAvgTable(SolverAvgHandles avgHandles).
getAvgT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgTable(SolverAvgHandles avgHandles, boolean keepDisabled).
getAvgTable() - Method in class jline.solvers.auto.SolverAUTO
getAvgTable() - Method in class jline.solvers.ctmc.SolverCTMC
getAvgTable() - Method in class jline.solvers.EnsembleSolver
getAvgTable() - Method in class jline.solvers.env.SolverENV
getAvgTable() - Method in class jline.solvers.ldes.SolverLDES: Returns a table of average station metrics organized by job classes.
getAvgTable() - Method in class jline.solvers.ln.SolverLN
getAvgTable() - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics organized by job classes.
getAvgTable() - Method in class jline.solvers.uq.SolverUQ: Returns the prior-weighted average results.
getAvgTable() - Method in class jline.solvers.wrappers.lqns.SolverLQNS: The station table of a flat Network.
getAvgTable(boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics organized by job classes with keepDisabled option.
getAvgTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics organized by job classes using individual handles.
getAvgTable(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics organized by job classes using individual handles and keepDisabled option.
getAvgTable(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics organized by job classes using specified handles.
getAvgTable(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average station metrics organized by job classes using specified handles and keepDisabled option.
getAvgTable(SolverOptions) - Method in class jline.solvers.env.SolverENV
getAvgTable(SolverOptions, boolean) - Method in class jline.solvers.env.SolverENV
getAvgTableImpl() - Method in class jline.solvers.ln.SolverLN: Body of SolverLN.getAvgTable(), split out so LineResultRecorder sees what the getter RETURNED.
getAvgTableImpl() - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgTable(), split out so LineResultRecorder sees what the getter RETURNED.
getAvgTableImpl() - Method in class jline.solvers.uq.SolverUQ: Body of SolverUQ.getAvgTable(), split out so LineResultRecorder sees what the getter RETURNED.
getAvgTableImpl(boolean) - Method in class jline.solvers.NetworkSolver: Body of NetworkSolver.getAvgTable(boolean), split out so LineResultRecorder sees what the getter RETURNED.
getAvgTableImpl(SolverOptions, boolean) - Method in class jline.solvers.env.SolverENV: Body of SolverENV.getAvgTable(SolverOptions, boolean), split out so LineResultRecorder sees what the getter RETURNED.
getAvgTardHandles() - Method in class jline.lang.Network: Mean tardiness handles, Tard(i,r) for class r at station i.
getAvgTardHandles() - Method in class jline.solvers.SolverAvgHandles: Mean tardiness handles, Tard(i,r) for class r at station i.
getAvgTput() - Method in class jline.solvers.auto.SolverAUTO: Get average throughputs at steady-state
getAvgTput() - Method in class jline.solvers.NetworkSolver
getAvgTputChain() - Method in class jline.solvers.auto.SolverAUTO
getAvgTputChain() - Method in class jline.solvers.NetworkSolver: Returns average throughputs aggregated by job chains.
getAvgTputHandles() - Method in class jline.lang.Network
getAvgTputHandles() - Method in class jline.solvers.fluid.SolverFluid: Get throughput handles with fluid-specific validation
getAvgTputHandles() - Method in class jline.solvers.NetworkSolver: Returns the average throughput metric handles.
getAvgTputHandles() - Method in class jline.solvers.SolverAvgHandles
getAvgTputTable() - Method in class jline.solvers.auto.SolverAUTO: Get average throughput table
getAvgUtil() - Method in class jline.solvers.auto.SolverAUTO: Get average utilizations at steady-state
getAvgUtil() - Method in class jline.solvers.NetworkSolver: Computes and returns average server utilizations at steady-state.
getAvgUtilChain() - Method in class jline.solvers.auto.SolverAUTO
getAvgUtilChain() - Method in class jline.solvers.NetworkSolver: Returns average server utilizations aggregated by job chains.
getAvgUtilHandles() - Method in class jline.lang.Network
getAvgUtilHandles() - Method in class jline.solvers.fluid.SolverFluid: Get utilization handles with fluid-specific validation
getAvgUtilHandles() - Method in class jline.solvers.NetworkSolver: Returns the average utilization metric handles.
getAvgUtilHandles() - Method in class jline.solvers.SolverAvgHandles
getAvgUtilTable() - Method in class jline.solvers.auto.SolverAUTO: Get average utilization table
getAvgWaitT() - Method in class jline.solvers.auto.SolverAUTO: Get average waiting times (queue time excluding service)
getAvgWaitT() - Method in class jline.solvers.NetworkSolver: Computes and returns average waiting times in queue excluding service time.
getB() - Method in class jline.api.mam.QbdRapRap1Result
getB() - Method in class jline.api.pfqn.lcfs.LcfsqnMvaResult
getB() - Method in class jline.lib.butools.reptrans.MarkovianRepresentation
getBacklogPerc(double) - Method in class jline.solvers.ba.SolverBA: Returns the per-station queue-length QUANTILE, in jobs, at violation probability eps.
getBalkingStrategy() - Method in class jline.lang.JobClass: Gets the global balking strategy for this job class.
getBalkingStrategy(JobClass) - Method in class jline.lang.nodes.Station: Gets the effective balking strategy for a specific job class.
getBalkingStrategyLocal(JobClass) - Method in class jline.lang.nodes.Station: Gets the station-specific balking strategy (without fallback).
getBalkingThresholds() - Method in class jline.lang.JobClass: Gets the global balking thresholds for this job class.
getBalkingThresholds(JobClass) - Method in class jline.lang.nodes.Station: Gets the effective balking thresholds for a specific job class.
getBalkingThresholdsLocal(JobClass) - Method in class jline.lang.nodes.Station: Gets the station-specific balking thresholds (without fallback).
getBaseUrl() - Method in class jline.api.sym.SageRestEngine
getBatchArrivalProb() - Method in class jline.api.dqsys.GeoXGeo1Result: Per-slot probability that a batch arrives.
getBatchBlocks() - Method in class jline.lang.processes.BMMAPt: All blocks, mark-major then batch then segment.
getBatchMatrix(int) - Method in class jline.lang.processes.BMAP: Get the D_k matrix for batch size k
getBatchMean() - Method in class jline.api.dqsys.GeoXGeo1Result: Mean batch size E[X], conditional on a batch arriving.
getBatchRates() - Method in class jline.lang.processes.BMAP: Get the arrival rates for each batch size
getBatchRejectProbability(JobClass) - Method in class jline.lang.nodes.Station: Gets the batch rejection probability for a specific job class.
getBatchSecondFactorialMoment() - Method in class jline.api.dqsys.GeoXGeo1Result: Second factorial moment E[X(X-1)] of the batch size.
getBatchSegments(int, int) - Method in class jline.lang.processes.BMMAPt: Per-segment blocks of one (mark, batch size) pair.
getBatchSize() - Method in class jline.api.mam.BmapSample
getBenchmarkSolvers(Network) - Static method in class jline.bench.BenchmarkSolvers
getBeta() - Method in class jline.lib.butools.reptrans.MarkovianRepresentation
getBeta() - Method in class jline.lib.fjcodes.FJServiceH
getBlockSize() - Method in class jline.api.trace.Mtrace_bootstrap.BootstrapResults
getBootstrapSamples() - Method in class jline.api.trace.Mtrace_bootstrap.BootstrapResults
getBorderPadding() - Method in class jline.io.tikz.SequenceDiagramOptions
getBorderPadding() - Method in class jline.io.tikz.TikZOptions
getBoundary() - Method in class jline.lib.smc.GIM1PiOptions
getBoundary() - Method in class jline.lib.smc.MG1PiOptions
getBoundaryEmptyProb() - Method in class jline.api.dqsys.GeoXGeo1Result: Probability that the system is empty AT THE SLOT BOUNDARY, 1 - lambda/s.
getBounds() - Method in class jline.opt.LineEvaluator: Concatenated per-dimension bounds for the full optimization vector.
getBounds() - Method in class jline.opt.variables.ActivityThinkTime
getBounds() - Method in class jline.opt.variables.ClassPriority
getBounds() - Method in class jline.opt.variables.ClassServiceMapping
getBounds() - Method in class jline.opt.variables.DecisionVariable: Bounds per encoded dimension, each {low, high}.
getBounds() - Method in class jline.opt.variables.HostDemand
getBounds() - Method in class jline.opt.variables.JobPopulation
getBounds() - Method in class jline.opt.variables.ProcessorMultiplicity
getBounds() - Method in class jline.opt.variables.RoutingProbabilities
getBounds() - Method in class jline.opt.variables.ServerAllocation
getBounds() - Method in class jline.opt.variables.ServiceRate
getBounds() - Method in class jline.opt.variables.StationReplicas
getBounds() - Method in class jline.opt.variables.TaskMultiplicity
getBounds() - Method in class jline.opt.variables.TaskReplication
getBounds() - Method in class jline.opt.variables.TaskThinkTime
getBounds() - Method in class jline.solvers.ba.SolverBA: Returns the {lower,upper} bracket for the current method's family.
getBoundsTable() - Method in class jline.solvers.ba.SolverBA: Returns a table of the {lower,upper} bracket per station and class, in the layout of getAvgTable.
getBoundsTable(boolean) - Method in class jline.solvers.ba.SolverBA: Returns a table of the {lower,upper} bracket per station and class.
getBoundToActivity() - Method in class jline.lang.layered.Entry
getBoundToEntry() - Method in class jline.lang.layered.Activity
getBranches() - Method in class jline.api.wf.Wf_analyzer.DetectedPatterns
getBranchNodes() - Method in class jline.api.wf.Wf_branch_detector.BranchPattern
getBranchStats(List<Wf_branch_detector.BranchPattern>) - Static method in class jline.api.wf.Wf_branch_detector
getBreakdownFailure() - Method in class jline.lang.nodes.Queue: Time to failure of the server, or null when the server never fails.
getBreakdownRepair() - Method in class jline.lang.nodes.Queue: Repair time of a down server, or null when the server never fails.
getBreakpoints() - Method in class jline.lang.processes.BMMAPt
getBreakpoints() - Method in class jline.lang.processes.MAPt
getBreakpoints() - Method in class jline.lang.processes.MAPt.RateSchedule
getBreakpoints() - Method in class jline.lang.processes.MMAPt
getBreakpoints() - Method in class jline.lang.processes.MPHt
getBreakpoints() - Method in class jline.lang.processes.NHPP: Returns a copy of the segment breakpoints, length n+1.
getBreakpoints() - Method in class jline.lang.processes.NHPP.RateSchedule
getBreakpoints() - Method in class jline.lang.processes.PHt
getBreakpoints() - Method in class jline.lang.processes.PHt.RateSchedule
getBudget() - Method in class jline.opt.objectives.BudgetConstraint
getC() - Method in class jline.lib.m3a.MTrace
getCa() - Method in class jline.api.nc.MeCqnResult
getCa() - Method in class jline.api.nc.MeOqnBlkResult: Interarrival scv of the offered flow at each station.
getCa() - Method in class jline.api.nc.MeOqnResult
getCacheServer() - Method in class jline.lang.nodes.Cache: Gets the internal cache server that handles class switching logic.
getCall_classes_updmap() - Method in class jline.solvers.ln.SolverLN
getCallOrder() - Method in class jline.lang.layered.Activity
getCalls() - Method in class jline.lang.NetworkAttribute
getCallTypes() - Method in class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
getCandidateSolverNames() - Method in class jline.solvers.auto.SolverAUTO: Get list of candidate solver names
getCap() - Method in class jline.lang.nodes.Node: Returns the total capacity limit for this node.
getCap() - Method in class jline.lang.nodes.Station
getCapacity() - Method in class jline.api.aoi.AoiValidationResult
getCardinality() - Method in class jline.lang.layered.ItemEntry
getCclassJobLoad() - Method in class jline.gen.NetworkGenerator
getCd() - Method in class jline.api.nc.MeCqnResult
getCd() - Method in class jline.api.nc.MeOqnBlkResult: Interdeparture scv at each station.
getCd() - Method in class jline.api.nc.MeOqnResult
getCdf(int, int) - Method in class jline.io.Ret.DistributionResult: Gets the CDF for a specific station and class.
getCdfAoI() - Method in class jline.solvers.auto.SolverAUTO: Age-of-Information CDFs, a property of the ODE representation, so fluid-only.
getCdfAoI() - Method in class jline.solvers.fluid.SolverFluid: Get CDF of Age of Information with automatic time range.
getCdfAoI(Matrix) - Method in class jline.solvers.auto.SolverAUTO: Age-of-Information CDFs on caller-supplied time points, fluid-only.
getCdfAoI(Matrix) - Method in class jline.solvers.fluid.SolverFluid: Get CDF of Age of Information.
getCdfFirstPassT(Matrix, Matrix) - Method in class jline.solvers.ctmc.SolverCTMC: Distribution of the FIRST PASSAGE TIME from state set A into state set B, on the CTMC underlying this model.
getCdfPassT() - Method in class jline.solvers.auto.SolverAUTO: Get CDF of passage times at steady-state
getCdfPassT() - Method in class jline.solvers.fluid.SolverFluid: Get cumulative distribution function for passage time.
getCdfPassT() - Method in class jline.solvers.mam.SolverMAM: Returns cumulative distribution functions of passage times at steady-state.
getCdfPassT() - Method in class jline.solvers.NetworkSolver: Returns cumulative distribution functions of passage times at steady-state.
getCdfPassT(AvgHandle) - Method in class jline.solvers.fluid.SolverFluid: Get cumulative distribution function for passage time with specific response time handles.
getCdfPassT(AvgHandle) - Method in class jline.solvers.mam.SolverMAM: Returns cumulative distribution functions of passage times at steady-state.
getCdfPassT(AvgHandle) - Method in class jline.solvers.NetworkSolver: Returns cumulative distribution functions of passage times at steady-state.
getCdfPT() - Method in class jline.solvers.auto.SolverAUTO: Backward-compatible passage-time CDF name, resolved on the fluid family.
getCdfPT() - Method in class jline.solvers.fluid.SolverFluid: Backward-compatible name for SolverFluid.getCdfPassT(), to which this delegates -- the @SolverFLD/getCdfPT.m twin.
getCdfPT(AvgHandle) - Method in class jline.solvers.fluid.SolverFluid: Backward-compatible name for SolverFluid.getCdfPassT(AvgHandle).
getCdfRespT() - Method in class jline.solvers.auto.SolverAUTO
getCdfRespT() - Method in class jline.solvers.fluid.SolverFluid
getCdfRespT() - Method in class jline.solvers.ldes.SolverLDES: Empirical response time CDF, measured on the simulated sample path.
getCdfRespT() - Method in class jline.solvers.ln.SolverLN: Response time distribution of every entry of the layered network.
getCdfRespT() - Method in class jline.solvers.mam.SolverMAM: Returns cumulative distribution functions of response times at steady-state.
getCdfRespT() - Method in class jline.solvers.nc.SolverNC: Get the response time CDF at FCFS and delay stations.
getCdfRespT() - Method in class jline.solvers.NetworkSolver: Returns cumulative distribution functions of response times at steady-state.
getCdfRespT() - Method in class jline.solvers.ssa.SolverSSA: Not available: SolverSSA does not record per-job response times.
getCdfRespT() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getCdfRespT(AvgHandle) - Method in class jline.solvers.ctmc.SolverCTMC: Response-time distribution, as the distribution and not as a summary.
getCdfRespT(AvgHandle) - Method in class jline.solvers.fluid.SolverFluid: Get cumulative distribution function of response times, handle form.
getCdfRespT(AvgHandle) - Method in class jline.solvers.ldes.SolverLDES: Empirical response time CDF, handle form.
getCdfRespT(AvgHandle) - Method in class jline.solvers.mam.SolverMAM: Returns cumulative distribution functions of response times at steady-state.
getCdfRespT(AvgHandle) - Method in class jline.solvers.nc.SolverNC: Response time CDF, ignoring the handle argument as the reference does.
getCdfRespT(AvgHandle) - Method in class jline.solvers.NetworkSolver: Returns cumulative distribution functions of response times at steady-state.
getCdfRespT(AvgHandle) - Method in class jline.solvers.ssa.SolverSSA
getCdfRespT(AvgHandle) - Method in class jline.solvers.wrappers.jmt.SolverJMT
getCdfRespT(Matrix) - Method in class jline.solvers.ctmc.SolverCTMC: Get the cumulative distribution function of response times using tagged job methodology
getCdfRespTFirstProbe() - Method in class jline.solvers.nc.SolverNC: First-probe-time summary of the response time CDF, one scalar per station and class.
getCdfRespTLN() - Method in class jline.solvers.ldes.SolverLDES
getCdfSysRespT() - Method in class jline.solvers.auto.SolverAUTO: System response time CDF per chain, always from SolverCTMC -- like the state-space accessors, it is a property of the CTMC representation, so it resolves on the CTMC candidate rather than the ranked selection, as the reference @SolverAUTO/getCdfSysRespT does.
getCdfSysRespT() - Method in class jline.solvers.ctmc.SolverCTMC: The SYSTEM response-time distribution: one law per CHAIN, not a number.
getCell() - Method in class jline.lang.RoutingMatrix: Returns the routing probabilities as a class-by-class table of node-by-node matrices, twin of MATLAB getCell.
getChainAvgT() - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable().
getChainAvgT(boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(boolean keepDisabled).
getChainAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
getChainAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
getChainAvgT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(SolverAvgHandles avgHandles).
getChainAvgT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgChainTable(SolverAvgHandles avgHandles, boolean keepDisabled).
getChainModel() - Method in class jline.lang.ModelAdapter.AggregateChainResult
getChainNames() - Method in class jline.solvers.NetworkAvgChainTable
getChainNames() - Method in class jline.solvers.NetworkAvgNodeChainTable
getChainNames() - Method in class jline.solvers.NetworkAvgSysTable
getChainNames() - Method in class jline.solvers.NetworkMomentChainTable
getChains() - Method in class jline.lang.Network: The chains of this network, each carrying the job classes it contains.
getChecks() - Method in class jline.lang.Network: Returns whether validation checks are enabled for this network.
getClass(int) - Method in class jline.lang.RoutingMatrix
getClassByIndex(int) - Method in class jline.lang.Network
getClassByName(String) - Method in class jline.lang.Network
getClassCap(JobClass) - Method in class jline.lang.nodes.Node: Returns the capacity limit for a specific job class at this node.
getClassCap(JobClass) - Method in class jline.lang.nodes.Station
getClassChain(JobClass) - Method in class jline.lang.Network: The chain containing the given class.
getClassChainIndex(JobClass) - Method in class jline.lang.Network
getClasses() - Method in class jline.lang.Chain: Gets the list of job classes in this chain.
getClasses() - Method in class jline.lang.Network: Returns the list of job classes in this network.
getClassIdx() - Method in class jline.api.qsys.RetrialInfo
getClassIndex(String) - Method in class jline.lang.Network
getClassIndex(JobClass) - Method in class jline.lang.Network
getClassIndex(JobClass) - Method in class jline.lang.RoutingMatrix
getClassLinks(Node, JobClass) - Method in class jline.lang.Network
getClassMaxJobs(JobClass) - Method in class jline.lang.Region
getClassMaxMemory(JobClass) - Method in class jline.lang.Region
getClassName() - Method in class jline.lang.Metric
getClassName() - Method in class jline.lang.sections.Section
getClassNames() - Method in class jline.lang.Network
getClassNames() - Method in class jline.solvers.LayeredNetworkSensitivityTable
getClassNames() - Method in class jline.solvers.NetworkAvgCacheTable
getClassNames() - Method in class jline.solvers.NetworkAvgNodeTable
getClassNames() - Method in class jline.solvers.NetworkAvgOrbitTable
getClassNames() - Method in class jline.solvers.NetworkAvgTable: Returns the list of job class names.
getClassNames() - Method in class jline.solvers.NetworkBoundsTable: Returns the job class names, one per row.
getClassNames() - Method in class jline.solvers.NetworkLossTable
getClassNames() - Method in class jline.solvers.NetworkMomentTable
getClassNames() - Method in class jline.solvers.NetworkPercTable
getClassNames() - Method in class jline.solvers.NetworkSensitivityTable
getClassProportions() - Method in class jline.api.trace.Mtrace_bootstrap.TraceStatistics
getClassSize(JobClass) - Method in class jline.lang.Region
getClassStats() - Method in class jline.api.trace.CountStatistics
getClassSwitchingMask() - Method in class jline.lang.Network
getClassWeight(JobClass) - Method in class jline.lang.Region
getClientIdx() - Method in class jline.lang.NetworkAttribute
getClo() - Method in class jline.lib.butools.mam.GeneralFluidSolution
getCN() - Method in class jline.solvers.mam.handlers.MetricsResult
getCN() - Method in class jline.solvers.ssa.handlers.SolverSSAResultNRM
getCoarseTol() - Static method in class jline.GlobalConstants: Gets the coarse tolerance value.
getColIndexes() - Method in class jline.util.matrix.Matrix: Deprecated.
getColIndexSum(Map<Integer, Matrix>) - Static method in class jline.util.matrix.Matrix: Computes the total number of elements across all matrices in a map, summing numRows * numCols for each matrix.
getColMax(int) - Method in class jline.util.matrix.Matrix: Returns the row index of the maximum value in the specified column.
getColumn(int) - Method in class jline.util.matrix.Matrix: Returns a column of the matrix as a new single-column matrix.
getColumn(String) - Method in class jline.solvers.LayeredNetworkSensitivityTable: Returns a numeric column by name.
getColumn(String) - Method in class jline.solvers.NetworkMomentChainTable: Returns a numeric column by name.
getColumn(String) - Method in class jline.solvers.NetworkMomentStationTable: Returns a numeric column by name.
getColumn(String) - Method in class jline.solvers.NetworkMomentTable: Returns a numeric column by name.
getColumn(String) - Method in class jline.solvers.NetworkSensitivityTable: Returns a numeric column by name.
getColumnIndex() - Method in class jline.util.matrix.ColumnView: Returns the column index that this view represents.
getColumnIndex(int) - Method in class jline.util.matrix.BaseMatrix
getColumnIndex(int) - Method in class jline.util.matrix.DenseMatrix
getColumnIndex(int) - Method in class jline.util.matrix.SparseMatrix
getColumnIndices() - Method in class jline.util.matrix.SparseMatrix
getColumnIndicesArray() - Method in class jline.util.matrix.BaseMatrix
getColumnIndicesArray() - Method in class jline.util.matrix.DenseMatrix
getColumnIndicesArray() - Method in class jline.util.matrix.SparseMatrix
getColumnView(int) - Method in class jline.util.matrix.Matrix: Returns a lightweight view into the specified column without copying data.
getCompatibleClasses() - Method in class jline.lang.constant.ServerType: Gets the list of job classes compatible with this server type.
getCompatibleOperands() - Method in class jline.lang.constant.ServerType: Compatible layer operands by name, empty when this pool is on a Queue.
getComplementIndices() - Method in class jline.api.fes.FESDeaggInfo
getCompletes() - Method in class jline.lang.JobClass: Checks if jobs in this class complete their service and leave the system.
getCond() - Method in class jline.inference.lang.SampledMetric
getConfidence() - Method in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
getConfidenceIntervals() - Method in class jline.api.trace.Mtrace_bootstrap.BootstrapResults
getConfiguredMean() - Method in class jline.lang.processes.CME: Gets the mean the distribution was constructed with.
getConnectionMatrix() - Method in class jline.lang.Network
getConstraints() - Method in class jline.api.mapqn.Mapqn_lpmodel: Get all constraints
getConstraints() - Method in class jline.opt.objectives.Objective
getConstraints() - Method in class jline.opt.OptimizationProblem
getConstraintViolation(String) - Method in class jline.opt.results.OptimizationResult
getConvention() - Method in class jline.api.dqsys.GeoGeo1Result: Convention under which the metrics were computed.
getConvention() - Method in class jline.api.dqsys.GeoXGeo1Result: Observation epoch the metrics refer to.
getCorrelation() - Method in class jline.lang.processes.MultivariateNormal: Gets the correlation matrix from the covariance matrix.
getCostCaps() - Method in class jline.lang.nodes.Cache: Gets the per-list storage cost caps.
getCostCoefficients() - Method in class jline.opt.objectives.BudgetConstraint
getCounts() - Method in class jline.api.trace.SingleClassCountStats
getCovariance() - Method in class jline.lang.processes.MultivariateNormal: Gets the covariance matrix.
getCsMatrix() - Method in class jline.lang.Network
getCurrentSignedStepsize() - Method in class odesolver.LSODA
getCurrentStepStart() - Method in class odesolver.LSODA
getCutoffMatrix(int, int) - Method in class jline.solvers.SolverOptions: Ensures the cutoff is properly dimensioned for the given network structure.
getCutoffs() - Method in class jline.api.fes.FESDeaggInfo
getCutoffs() - Method in class jline.api.fes.FESOptions: Per-class population cutoffs (default: null, uses total jobs per class).
getD0() - Method in class jline.lib.butools.map.MAPRepresentation
getD0At(double) - Method in class jline.lang.processes.MAPt: D0 in force at t; the zero matrix past a non-cyclic horizon.
getD0Segments() - Method in class jline.lang.processes.BMMAPt
getD0Segments() - Method in class jline.lang.processes.MAPt
getD0Segments() - Method in class jline.lang.processes.MAPt.RateSchedule
getD0Segments() - Method in class jline.lang.processes.MMAPt
getD1() - Method in class jline.lib.butools.map.MAPRepresentation
getD1At(double) - Method in class jline.lang.processes.MAPt: D1 in force at t; the zero matrix past a non-cyclic horizon.
getD1k(int) - Method in class jline.lang.processes.Marked
getD1Segments() - Method in class jline.lang.processes.BMMAPt: Per-segment aggregate sum_c sum_b D^(c,b), i.e.
getD1Segments() - Method in class jline.lang.processes.MAPt
getD1Segments() - Method in class jline.lang.processes.MAPt.RateSchedule
getD1Segments() - Method in class jline.lang.processes.MMAPt: Per-segment aggregate sum_c D1^(c), i.e.
getD1Segments(int) - Method in class jline.lang.processes.BMMAPt: Per-segment BATCH-AGGREGATED blocks of one mark, i.e.
getD1Segments(int) - Method in class jline.lang.processes.MMAPt: Per-segment blocks of one mark.
getData() - Method in class jline.inference.lang.ParamEstimator
getData() - Method in class jline.inference.lang.SampledMetric
getData() - Method in class jline.lang.processes.EmpiricalCDF: Get the empirical data
getData() - Method in class jline.lang.processes.Replayer: Returns the raw data array backing this Replayer distribution.
getData() - Method in class jline.solvers.AvgTable: Returns the underlying matrix data.
getData() - Method in class jline.util.matrix.BaseMatrix: Returns the underlying data structure.
getData() - Method in class jline.util.matrix.DenseMatrix: Returns the underlying EJML dense matrix data structure.
getData() - Method in class jline.util.matrix.Matrix: Deprecated.
raw storage access; use Matrix.nonZeroIterator() for reads and the Matrix API for writes
getData() - Method in class jline.util.matrix.SparseMatrix: Returns the underlying EJML sparse matrix data structure.
getDataAggr() - Method in class jline.inference.lang.ParamEstimator
getDeadline() - Method in class jline.lang.JobClass: Returns the relative deadline for jobs in this class.
getDeadlineTable() - Method in class jline.solvers.NetworkSolver: Returns a table of deadline-related metrics (response time and tardiness) organized by station and job class.
getDeaggInfo() - Method in class jline.api.fes.FESResult
getDeaggInfo() - Method in class jline.lang.ModelAdapter.AggregateChainResult
getDefaultRuntime() - Method in class jline.io.WfCommonsOptions: Get the default runtime when execution data is missing.
getDefaultSCV() - Method in class jline.io.WfCommonsOptions: Get the default SCV for APH/HyperExp distributions.
getDelayedHitProb() - Method in class jline.solvers.NetworkAvgCacheTable
getDelayedHitQLen() - Method in class jline.lang.nodes.Cache: Per-item delayed-hit queue length, empty when the solver does not compute it.
getDelayedHitQLen() - Method in class jline.solvers.NetworkAvgItemTable
getDelayedHitQLenFull() - Method in class jline.lang.nodes.Cache: Per-item delayed-hit queue length including the triggering request.
getDelayedHitQLenFull() - Method in class jline.solvers.NetworkAvgItemTable
getDelayedHitRate() - Method in class jline.solvers.NetworkAvgCacheTable
getDelayedHitRatio() - Method in class jline.lang.nodes.Cache: Gets the delayed-hit fraction per class (retrieval system); empty when the cache has no retrieval system.
getDelayOffTime() - Method in class jline.lang.layered.Task
getDelayOffTime(JobClass) - Method in class jline.lang.nodes.Queue: Gets the delay-off time distribution for a job class.
getDelayOffTimeMean() - Method in class jline.lang.layered.Task
getDelayOffTimeSCV() - Method in class jline.lang.layered.Task
getDelayPerc(double) - Method in class jline.solvers.ba.SolverBA: Returns the per-station response-time QUANTILE at violation probability eps: the smallest d for which P{D_ir > d} <= eps is certified by the stochastic network calculus bound.
getDelegate() - Method in class jline.lang.reward.RewardDescriptor
getDemands() - Method in class jline.lang.Network
getDemandsChain() - Method in class jline.lang.Network
getDensity() - Method in class jline.lang.processes.Expolynomial: Returns the density expression string in expolynomial (GEN) format.
getDepartureDiscipline(JobClass) - Method in class jline.lang.nodes.Place
getDepRates() - Method in class jline.solvers.ctmc.ResultCTMC
getDestination() - Method in class jline.lang.Graph.Edge
getDestination() - Method in class jline.lang.OutputStrategy
getDetectedPatterns() - Method in class jline.api.wf.Wf_analyzer.WorkflowAnalysis
getDfilt() - Method in class jline.solvers.ctmc.ResultCTMC
getDiagramOptions() - Method in class jline.io.LQN2UML.Options
getDim_notbusy() - Method in class jline.lib.fjcodes.GenerateServiceResult
getDimension() - Method in class jline.lang.processes.MultivariateNormal: Gets the dimensionality of this distribution.
getDimension() - Method in class jline.lib.rmf.CacheFIFORMF
getDimension() - Method in class jline.lib.rmf.CachePosGraphRMF
getDimension() - Method in class jline.lib.rmf.CacheSFIFORMF
getDimension() - Method in class jline.opt.variables.DecisionVariable
getDimension() - Method in class jline.solvers.fluid.handlers.MatrixMethodODE
getDimension() - Method in class jline.solvers.fluid.handlers.PassageTimeODE
getDiscardedSamples() - Method in class jline.lang.Metric
getDistribution() - Method in class jline.gen.NetworkGenerator
getDistribution() - Method in class jline.lang.ServiceBinding
getDistributions() - Method in class jline.lang.processes.Prior: Returns the list of all distributions.
getDistributionType() - Method in class jline.io.WfCommonsOptions: Get the distribution type.
getDownService(JobClass) - Method in class jline.lang.nodes.Queue: Service distribution used for a class while the server is down, or null when the server does not serve at all while down.
getDpi() - Method in class jline.io.LQN2UML.Options
getDQLen() - Method in class jline.solvers.LayeredNetworkSensitivityTable
getDQLen() - Method in class jline.solvers.NetworkSensitivityTable
getDRespT() - Method in class jline.solvers.LayeredNetworkSensitivityTable
getDRespT() - Method in class jline.solvers.NetworkSensitivityTable
getDropRule(JobClass) - Method in class jline.lang.nodes.Station: Gets the drop strategy for a specific job class when capacity is exceeded.
getDropRule(JobClass) - Method in class jline.lang.Region: Gets the drop rule as a boolean for backwards compatibility.
getDropStrategy() - Method in class jline.lang.nodes.Node: Gets the drop strategy used by this node when capacity limits are exceeded.
getDropStrategy(JobClass) - Method in class jline.lang.Region: Gets the drop strategy for a specific job class.
getDTput() - Method in class jline.solvers.LayeredNetworkSensitivityTable
getDTput() - Method in class jline.solvers.NetworkSensitivityTable
getDUtil() - Method in class jline.solvers.LayeredNetworkSensitivityTable
getDUtil() - Method in class jline.solvers.NetworkSensitivityTable
getEdgePaintTransformer() - Method in class jline.io.ModelVisualizer: Returns a transformer for edge colors.
getEdges() - Method in class jline.lang.Graph: Returns the list of directed edges in the graph.
getEdgeStrokeTransformer() - Method in class jline.io.ModelVisualizer: Returns a transformer for edge strokes based on edge type.
getEft() - Method in class jline.lang.processes.Expolynomial: Returns the earliest firing time, i.e.
getEigenvalueMatrix() - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
getEigenvectors() - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
getElement() - Method in class jline.io.ModelVisualizer.ModelVertex
getEmbedded() - Method in class jline.lang.processes.Markovian: Gets the embedded Markov chain transition matrix.
getEmbedded() - Method in class jline.lang.processes.MMPP2
getEmbeddedProb() - Method in class jline.lang.processes.Markovian: Gets the stationary probability vector of the embedded Markov chain.
getEmbeddedProb() - Method in class jline.lang.processes.MMPP2
getEmptyProb() - Method in class jline.api.dqsys.GeoGeo1Result: Probability that the system is empty at a slot boundary.
getEn1() - Method in class jline.lib.fjcodes.PiResult
getEnabled() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Precomputed per-(station,class) enabled flags of the closing method.
getEndpoint() - Method in class jline.streaming.MockOtlpReceiver: Gets the endpoint string for this receiver (localhost:port).
getEnsemble() - Method in class jline.lang.Ensemble: Gets the list of network models in this ensemble.
getEnsemble() - Method in class jline.lang.layered.LayeredNetwork
getEnsemble() - Method in class jline.solvers.ln.SolverLN
getEnsembleAvg() - Method in class jline.solvers.EnsembleSolver
getEnsembleAvg() - Method in class jline.solvers.env.SolverENV
getEnsembleAvg() - Method in class jline.solvers.ln.SolverLN
getEnsembleAvg() - Method in class jline.solvers.uq.SolverUQ
getEnsembleAvg() - Method in class jline.solvers.wrappers.lqns.SolverLQNS
getEnsembleAvgPH() - Method in class jline.solvers.ln.SolverLN: LQN-level results.
getEnsembleResults() - Method in class jline.solvers.EnsembleSolver: The per-iteration, per-layer results the analyze/post cycle exchanges.
getEntries() - Method in class jline.lang.layered.LayeredNetwork
getEntries() - Method in class jline.lang.layered.Task: Returns the list of entries for this task.
getEntries() - Method in class jline.lang.NetworkAttribute
getEntryForActivity(Activity) - Method in class jline.io.tikz.SequenceDiagramLayoutEngine
getEntryServiceMatrix() - Method in class jline.solvers.ln.SolverLN
getEntryServiceMatrixRecursion(LayeredNetworkStruct, int, int, Matrix) - Method in class jline.solvers.ln.SolverLN
getEnvStruct() - Method in class jline.lang.layered.LayeredNetwork: Build the aggregate, block-diagonal NetworkStruct for this LQN by concatenating the per-layer structs.
getEpsilon() - Method in class jline.api.mam.LdqbdOptions
getEpsilonValue() - Method in class jline.lib.smc.MG1CROptions
getErrorMsg() - Method in class jline.api.aoi.AoiValidationResult
getErrorMsg() - Method in class jline.api.qsys.RetrialInfo
getErrors() - Method in exception jline.api.sn.SnValidationException
geteta(int) - Static method in class jline.lib.lti.euler
getEta() - Method in class jline.api.mam.QbdMapMap1Result
getEta() - Method in class jline.api.mam.QbdRapRap1Result
getEta() - Method in class jline.lib.smc.GIM1CaudalResult
getEta() - Method in class jline.lib.smc.MG1DecayResult
getEvaluationCount() - Method in class jline.opt.LineEvaluator
getEvaluations() - Method in class odesolver.LSODA
getEvd() - Method in class jline.api.fj.GKBoundResult
getEvent() - Method in class jline.inference.lang.ConditionEvent
getEvent() - Method in class jline.lang.Event: Gets the type of this event.
getEvent() - Method in class jline.lang.ModeEvent
getEvent(int) - Method in class jline.io.Ret.SampleResult: Returns the i-th sampled event (0-based) as an Event.
getEventCache() - Method in class jline.solvers.ssa.SolverSSA
getEventFilt() - Method in class jline.lang.processes.MarkedMarkovProcess: Get the event filter matrices
getEventFiltration(EventType) - Method in class jline.solvers.ctmc.SolverCTMC: Filtration of a DERIVED event type, indexed [station][class]: the (s,ns) entry is the rate at which the transition s -> ns carries one such event at that station for that class.
getEventHandlers() - Method in class odesolver.LSODA
getEventIdx() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Precomputed per-event source state coordinate of the closing method.
getEventList() - Method in class jline.lang.processes.MarkedMarkovProcess: Get the event list
getEventType() - Method in class jline.lang.Event: Returns the type of this event.
getExitSegments() - Method in class jline.lang.processes.MPHt: All exit vectors, mark-major: get(c).get(j) is mark c+1 in segment j.
getExitSegments(int) - Method in class jline.lang.processes.MPHt: Per-segment exit vectors of one mark.
getExitVector(int) - Method in class jline.lang.processes.MPH: The h-by-1 exit vector of mark k.
getExitVectors() - Method in class jline.lang.processes.MPH: The exit vectors, ordered by mark.
getExpectedLoopIterations(double) - Static method in class jline.api.wf.Wf_loop_detector
getExponential() - Method in class jline.api.fj.GKBoundResult
getExportableClasses() - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Returns a boolean array indicating which classes should be exported to JMT.
getF() - Method in class jline.api.mam.QbdRapRap1Result
getFanInSource() - Method in class jline.lang.layered.Task
getFanInValue() - Method in class jline.lang.layered.Task
getFanOutMap() - Method in class jline.lang.layered.Task
getFeatureName() - Method in class jline.lang.processes.Coxian: "Cox2" at two phases, "Coxian" otherwise.
getFeatureName() - Method in class jline.lang.processes.Distribution: The registry name this distribution is marked under by Network.getUsedLangFeatures().
getFeatureName() - Method in class jline.lang.processes.Trace: "Trace", not the inherited "Replayer".
getFeatureSet() - Static method in class jline.examples.java.advanced.SolverCustom: The model features this solver claims to support.
getFeatureSet() - Static method in class jline.solvers.ag.SolverAG: The RCAT feature envelope.
getFeatureSet() - Static method in class jline.solvers.auto.SolverAUTO: Union of the feature sets of every solver AUTO can delegate to: a model AUTO can analyze is one that at least one candidate supports.
getFeatureSet() - Static method in class jline.solvers.ba.SolverBA: The feature envelope of the bounds.
getFeatureSet() - Static method in class jline.solvers.ctmc.SolverCTMC
getFeatureSet() - Static method in class jline.solvers.env.SolverENV
getFeatureSet() - Static method in class jline.solvers.fluid.SolverFluid: Returns the feature set supported by the Fluid solver
getFeatureSet() - Static method in class jline.solvers.ldes.SolverLDES: Returns the feature set supported by the LDES solver.
getFeatureSet() - Static method in class jline.solvers.mam.SolverMAM: Returns the feature set supported by the MAM solver
getFeatureSet() - Static method in class jline.solvers.mva.SolverMVA: Returns the feature set supported by the MVA solver
getFeatureSet() - Static method in class jline.solvers.nc.SolverNC: Returns the feature set supported by the NC solver
getFeatureSet() - Static method in class jline.solvers.ssa.SolverSSA: Returns the feature set supported by the SSA solver
getFeatureSet() - Static method in class jline.solvers.wrappers.jmt.SolverJMT
getFeatureSet() - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: The feature set on a flat Network (the qns methods).
getFesModel() - Method in class jline.api.fes.FESResult
getFesNodeIdx() - Method in class jline.api.fes.FESDeaggInfo
getFesStation() - Method in class jline.api.fes.FESResult
getFileName() - Method in class jline.lang.nodes.Logger
getFileName() - Method in class jline.lang.processes.Replayer
getFileName() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getFilePath() - Method in class jline.lang.nodes.Logger
getFilePath() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getFilteredEventTimes(boolean[]) - Method in class jline.io.Ret.SampleResult: Returns the timestamps of the events selected by the given mask.
getFinalVariableValue(String) - Method in class jline.opt.results.WorkflowResult
getFineTol() - Static method in class jline.GlobalConstants: Gets the fine tolerance value.
getFiringDistribution(Mode) - Method in class jline.lang.nodes.Transition
getFiringRateDependence(Mode) - Method in class jline.lang.nodes.Transition
getFirst() - Method in class jline.lib.kpctoolbox.smp.DET.Triple
getFirst() - Method in class jline.lib.smc.Quadruple
getFirst() - Method in class jline.util.Pair: Alias for Pair.getLeft().
getFirst() - Method in class jline.util.Triple
getFirstNegativeIstate() - Static method in class jline.solvers.fluid.LSODAExt: The first negative istate code observed, or 0 if none.
getFirstPassTMoments(Matrix, Matrix) - Method in class jline.solvers.ctmc.SolverCTMC: Moments of order 1..3, the reference's default.
getFirstPassTMoments(Matrix, Matrix, int) - Method in class jline.solvers.ctmc.SolverCTMC: Moments of order 1..nmax of the first passage time from state set A into state set B.
getFixedVariables() - Method in class jline.opt.LineEvaluator
getFixedVariables() - Method in class jline.opt.OptimizationProblem
getFjForkLambda() - Method in class jline.solvers.mva.handlers.MVARunner: The MMT fixed-point iterate this run ended on, for the owning solver to keep.
getFlag() - Method in class jline.lib.ode.RKF45Result
getFluidMoments() - Method in class jline.lib.butools.queues.FluFluResult
getFluidSolution() - Method in class jline.lib.butools.queues.FluFluResult
getFmin() - Method in class jline.lang.processes.ME.NegativeDensityScan
getFname() - Method in class jline.solvers.ctmc.ResultCTMCMargAggr: Get the workspace filename
getFname() - Method in class jline.solvers.ctmc.SolverCTMC.SolverCtmcJointResult
getForkIdx() - Method in class jline.api.fj.FJInfo
getForkJoinBenchmarkSolvers(Network) - Static method in class jline.bench.BenchmarkSolvers: Get Fork-Join specific benchmark solvers Tests different fork-join approximation methods
getForkJoins() - Method in class jline.lang.Network
getForkJoinSimulationSolver(Network) - Static method in class jline.bench.BenchmarkSolvers: Get Fork-Join simulation solver with appropriate settings
getForkNode() - Method in class jline.api.wf.Wf_branch_detector.BranchPattern
getForkNodes() - Method in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
getForkWarmStart() - Method in class jline.solvers.mva.SolverMVA: Returns the retained MMT fixed-point iterate, or null if none is held.
getForm() - Method in class jline.api.qsys.Patience
getFormat() - Method in class jline.inference.lang.SampledMetric
getFormat() - Method in class jline.io.LQN2UML.Options
getForwardingDests() - Method in class jline.lang.layered.Entry: Get the map of forwarding destinations.
getForwardingProbs() - Method in class jline.lang.layered.Entry: Get the matrix of forwarding probabilities.
getFourth() - Method in class jline.lib.smc.Quadruple
getFragments() - Method in class jline.io.tikz.SequenceDiagramTraverser: Gets all fragments sorted by start level.
getFrontier() - Method in class jline.opt.pareto.ParetoSweep: Non-dominated frontier (both objective and epsilon minimized), by epsilon.
getG() - Method in class jline.api.mam.QbdMapMap1Result
getG() - Method in class jline.api.mam.QbdRapRap1Result
getG() - Method in class jline.api.mam.QbdRapResult: Matrix G solving A0*G^2 + A1*G + A2 = 0.
getG() - Method in class jline.api.pfqn.lcfs.LcfsqnCaResult
getG() - Method in class jline.lib.smc.MG1_ETAQA.ETAQAResult
getG() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
getGamma() - Method in class jline.api.qsys.RetrialInfo
getGamma_unique() - Method in class jline.api.pfqn.PfqnUniqueResult
getGenerator() - Method in class jline.lang.processes.MarkovProcess: Get the infinitesimal generator matrix
getGenerator() - Method in class jline.opt.solver.de.NumpyRandomState
getGenerator() - Method in class jline.solvers.auto.SolverAUTO: Infinitesimal generator, always from SolverCTMC.
getGenerator() - Method in class jline.solvers.ctmc.SolverCTMC
getGenerator() - Method in class jline.solvers.env.SolverENV
getGenerator(SolverOptions) - Method in class jline.solvers.auto.SolverAUTO: Infinitesimal generator, always from SolverCTMC.
getGenerator(SolverOptions) - Method in class jline.solvers.ctmc.SolverCTMC
getGlobalDependence() - Method in class jline.lang.Network: Network-level global dependence handle, or null if the model declares none.
getGlobalDependenceCutoff() - Method in class jline.lang.Network: Per-slot open-class wire truncation of the global dependence (default 10).
getGlobalDependencePeak() - Method in class jline.lang.Network: (nstations x nclasses) peak of the global dependence, or null if none is declared.
getGlobalMaxJobs() - Method in class jline.lang.Region
getGlobalMaxMemory() - Method in class jline.lang.Region
getGraph() - Method in class jline.io.ModelVisualizer: Returns the underlying JUNG graph.
getGraph() - Method in class jline.lang.Network: Returns a directed-graph view of the network topology.
getGraph() - Method in class jline.lang.nodes.Cache: Gets the graph structure defining the cache organization.
getH0() - Method in class jline.lang.processes.RAP: Gets the H0 matrix (hidden transition rates).
getH1() - Method in class jline.lang.processes.RAP: Gets the H1 matrix (visible transition rates).
getHashOrAdd(NetworkStruct, int, Matrix) - Static method in class jline.lang.state.State: Get hash ID for a state space, or add the state to the space if not found Migrated from MATLAB getHashOrAdd.m
getHashOrAddResult(Matrix, NetworkStruct) - Constructor for class jline.io.Ret.getHashOrAddResult
getHasStruct() - Method in class jline.lang.Network
getHeteroSchedPolicy() - Method in class jline.lang.nodes.Queue: Gets the scheduling policy for heterogeneous servers.
getHeteroServiceDistributions() - Method in class jline.lang.nodes.Queue: Gets all heterogeneous service distributions for this queue.
getHitClass() - Method in class jline.lang.nodes.Cache: For an incoming job of class r, HITCLASS[r] is the new class of that job after a hit
getHitProb() - Method in class jline.solvers.NetworkAvgCacheTable
getHitRate() - Method in class jline.solvers.NetworkAvgCacheTable
getHitRatio() - Method in class jline.lang.nodes.Cache: Gets the actual hit probability/ratio for each job class.
getHitRatioByList() - Method in class jline.lang.nodes.Cache: Gets the per-class, per-list (per-level) hit fraction matrix [classes x lists]; empty when not computed by the solver.
getHost() - Method in class jline.streaming.StreamingOptions: Get the host from the endpoint.
getHostDemand() - Method in class jline.lang.layered.Activity
getHostDemand() - Method in class jline.lang.workflow.WorkflowActivity
getHostDemandMean() - Method in class jline.lang.layered.Activity
getHostDemandMean() - Method in class jline.lang.workflow.WorkflowActivity
getHostDemandRange() - Method in class jline.gen.LayeredNetworkGenerator
getHostDemandSCV() - Method in class jline.lang.layered.Activity
getHostDemandSCV() - Method in class jline.lang.workflow.WorkflowActivity
getHosts() - Method in class jline.lang.layered.LayeredNetwork
getHosts() - Method in class jline.lang.NetworkAttribute
getHostStations() - Method in class jline.lang.NetworkAttribute
getId() - Method in class jline.lang.constant.ServerType: Gets the unique identifier of this server type within its queue.
getID() - Method in enum jline.lang.constant.BalkingStrategy: Get the numeric ID for this balking strategy.
getID() - Method in enum jline.lang.constant.DepartureDiscipline
getID() - Method in enum jline.lang.constant.DropStrategy
getID() - Method in enum jline.lang.constant.ImpatienceType: Get the numeric ID for this impatience type.
getID() - Method in enum jline.lang.constant.RemovalPolicy
getID() - Method in enum jline.lang.constant.SignalType
getIdc() - Method in class jline.api.trace.SingleClassCountStats
getIDC() - Method in class jline.lang.processes.Markovian: Gets the index of dispersion for counts (IDC).
getIDC() - Method in class jline.lang.processes.MMPP2
getIDI() - Method in class jline.lang.processes.Markovian: Gets the index of dispersion for intervals (IDI).
getIDI() - Method in class jline.lang.processes.MMPP2
getIdleVector() - Method in class jline.api.qsys.QsysMmapGk1Result
getIdx() - Method in class jline.lang.NodeAttribute
getIdxhash() - Method in class jline.solvers.ln.SolverLN
getImmediateAbsorb() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Projector onto the coordinates that survive the immediate elimination, null when nothing was eliminated.
getImmediateEmap() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Expected firings of each ORIGINAL event per firing of each reduced one, null when nothing was eliminated (which the caller reads as the identity).
getImmediateFeedbackClasses() - Method in class jline.lang.nodes.Queue: Gets the set of class indices with immediate feedback enabled.
getImpatienceType() - Method in class jline.lang.JobClass: Gets the global impatience type for this job class.
getImpatienceType(JobClass) - Method in class jline.lang.nodes.Station: Gets the effective impatience type for a specific job class.
getImpatienceTypeLocal(JobClass) - Method in class jline.lang.nodes.Station: Gets the station-specific impatience type (without fallback).
getInChainNames() - Method in class jline.solvers.NetworkAvgChainTable
getInChainNames() - Method in class jline.solvers.NetworkAvgNodeChainTable
getInChainNames() - Method in class jline.solvers.NetworkAvgSysTable
getIndex() - Method in class jline.io.ModelVisualizer.ModelVertex
getIndex() - Method in class jline.lang.ItemSet
getIndex() - Method in class jline.lang.JobClass
getIndex() - Method in class jline.lang.Mode
getIndex() - Method in class jline.lang.workflow.WorkflowActivity
getIndexClosedClasses() - Method in class jline.lang.Network: Returns the indices of all closed job classes in this network.
getIndexOpenClasses() - Method in class jline.lang.Network: Returns the indices of all open job classes in this network.
getIndexSinkNode() - Method in class jline.lang.Network
getIndexSourceNode() - Method in class jline.lang.Network
getIndexSourceStation() - Method in class jline.lang.Network: Gets the station index of the source
getIndexStatefulNodes() - Method in class jline.lang.Network
getInfGen() - Method in class jline.solvers.ctmc.SolverCTMC
getInfGen(SolverOptions) - Method in class jline.solvers.ctmc.SolverCTMC
getIni() - Method in class jline.lib.butools.mam.GeneralFluidSolution
getInitMarginalBlocks() - Method in class jline.lang.layered.LayeredNetwork: Per-layer blocks of the warm start supplied by the last LayeredNetwork.initFromMarginal(jline.util.matrix.Matrix) call, or null if none was supplied.
getInitProb() - Method in class jline.lang.processes.APH
getInitProb() - Method in class jline.lang.processes.Markovian: Gets the initial probability vector.
getInitProb() - Method in class jline.lang.processes.PH
getInput() - Method in class jline.lang.nodes.Node: Gets the input section that handles incoming jobs to this node.
getInService() - Method in class jline.solvers.NetworkAvgOrbitTable
getInstance() - Static method in class jline.GlobalConstants: Returns the singleton instance of GlobalConstants.
getInstance() - Static method in class jline.lang.processes.Disabled
getInstance() - Static method in class jline.lang.processes.Immediate
getInstance() - Static method in class jline.unified.ModelRegistry: Get the singleton instance (for Java interop)
getIntegrateCallCount() - Static method in class jline.solvers.fluid.LSODAExt: Total integrate() calls since the last reset.
getInteractions() - Method in class jline.io.tikz.SequenceDiagramTraverser: Gets all interactions sorted by level.
getInterarrivalTime() - Method in class jline.api.mam.BmapSample
getInterval() - Method in class jline.solvers.uq.SolverUQ: Range of every metric over the support of the Prior, weights discarded.
getIsHost() - Method in class jline.lang.NodeAttribute
getIsolatedModel() - Method in class jline.api.fes.FESDeaggInfo
getIsrec() - Method in class jline.api.mc.Ctmc_solve_reducible_blkdecompResult
getItem() - Method in class jline.solvers.NetworkAvgItemTable
getItemLevelCap() - Method in class jline.lang.layered.CacheTask
getItemLevelCap() - Method in class jline.lang.nodes.Cache: Gets the capacity configuration for each cache level.
getItemOfClass(int) - Method in class jline.lang.nodes.Cache: Item each per-item class reads (1-based), 0 where the class is not one.
getItemProb() - Method in class jline.lang.nodes.Cache: Gets the per-item occupancy matrix [items x (lists+1)]: column 0 is the miss probability, columns 1..
getItems() - Method in class jline.lang.layered.CacheTask
getItems() - Method in class jline.lang.nodes.Cache: Gets the set of items that can be stored in this cache.
getItems() - Method in class jline.solvers.NetworkAvgCacheTable
getItemSizes() - Method in class jline.lang.nodes.Cache: Gets the per-item storage costs (sizes).
getIter() - Method in class jline.api.nc.MeCqnResult
getIter() - Method in class jline.api.nc.MeOqnBlkResult: Number of fixed-point iterations performed.
getIter() - Method in class jline.api.nc.MeOqnResult
getIter() - Method in class jline.solvers.ag.handlers.INAPResult
getJacobian() - Method in class jline.solvers.fluid.SolverFluid: Jacobian of the mean-field drift, d f_i / d x_j, computed exactly by the computer algebra backend.
getJacobianEvaluations() - Method in class odesolver.LSODA
getJmtJarPath() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getJMVAFeatureSet() - Static method in class jline.solvers.wrappers.jmt.SolverJMT: What the JMVA ANALYTICAL engine accepts, which is much less than the JSIM simulator above.
getJMVATempPath() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getJob() - Method in class jline.lang.Event: Gets the job identifier associated with this event.
getJob() - Method in class jline.lang.ModeEvent
getJobClass() - Method in class jline.inference.lang.ConditionEvent
getJobClass() - Method in class jline.inference.lang.SampledMetric
getJobClass() - Method in class jline.lang.Event: Gets the job class index associated with this event.
getJobClass() - Method in class jline.lang.Graph.Edge
getJobClass() - Method in class jline.lang.nodes.Logger
getJobClass() - Method in class jline.lang.OutputStrategy
getJobClass() - Method in class jline.lang.reward.RewardDescriptor
getJobClass() - Method in class jline.lang.ServiceBinding
getJobClass() - Method in class jline.opt.objectives.MinimizeSystemResponseTime
getJobClass() - Method in class jline.opt.objectives.ResponseTimeConstraint
getJobClass() - Method in class jline.opt.objectives.SystemResponseTimeConstraint
getJobClass() - Method in class jline.opt.variables.ClassServiceMapping
getJobClass() - Method in class jline.opt.variables.JobPopulation
getJobClass() - Method in class jline.opt.variables.RoutingProbabilities
getJobClass() - Method in class jline.opt.variables.ServiceRate
getJobClasses() - Method in class jline.lang.Network
getJobClasses() - Method in class jline.lang.sections.StatelessClassSwitcher
getJobClasses() - Method in class jline.opt.variables.ClassPriority
getJobClassFromIndex(int) - Method in class jline.lang.Network: Returns the job class at the specified index.
getJobClassIndex(JobClass) - Method in class jline.lang.Network: Returns the index of the specified job class in this network.
getJobClassType() - Method in class jline.lang.JobClass: Returns the type of this job class.
getJobID() - Method in class jline.lang.nodes.Logger
getJoinIdx() - Method in class jline.api.fj.FJInfo
getJoinNode() - Method in class jline.api.wf.Wf_branch_detector.BranchPattern
getJoinNodes() - Method in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
getJSIMTempPath() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getK() - Method in class jline.api.fj.FJInfo
getK() - Method in class jline.api.fj.GKBoundResult
getK() - Method in class jline.api.nc.MeGegecnResult: Minimum number of jobs in the queue.
getK() - Method in class jline.lib.butools.mam.GeneralFluidSolution
getKc() - Method in class jline.lib.fjcodes.SRKResult
getKe() - Method in class jline.lib.fjcodes.SRKResult
getKey(int) - Method in class jline.util.IndexedMinHeap: Read the current priority of reaction k.
getKic() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Precomputed per-(station,class) phase count of the closing method.
getKind() - Method in class jline.lang.reward.RewardDescriptor
getL() - Method in class jline.api.mam.QbdRapRap1Result
getL() - Method in class jline.api.nc.MeCqnResult
getL() - Method in class jline.api.nc.MeGegecnResult: Mean number of jobs in the queue.
getL() - Method in class jline.api.nc.MeOqnResult
getL_orbit() - Method in class jline.api.qsys.QsysRetrialResult
getL_system() - Method in class jline.api.qsys.QsysRetrialResult
getL_unique() - Method in class jline.api.pfqn.PfqnUniqueResult
getLabel() - Method in class jline.io.ModelVisualizer.ModelEdge
getLagCorrelations() - Method in class jline.api.trace.Mtrace_bootstrap.TraceStatistics
getLaguerreCoefficients(int) - Static method in class jline.lib.lti.laguerre
getLaguerreRoots(double[]) - Static method in class jline.lib.lti.laguerre
getLambda() - Method in class jline.api.aoi.AoiParams
getLambda() - Method in class jline.api.nc.MeCqnResult
getLambda() - Method in class jline.api.nc.MeOqnBlkResult: Offered arrival rate at each station, re-attempts included.
getLambda() - Method in class jline.api.nc.MeOqnResult
getLambda() - Method in class jline.lang.processes.HyperExp: Gets the phase rates, one per phase.
getLambda() - Method in class jline.lib.butools.queues.FluFluResult
getLambda() - Method in class jline.lib.fjcodes.FJArrival
getLambda0() - Method in class jline.lib.fjcodes.FJArrival
getLambda1() - Method in class jline.lib.fjcodes.FJArrival
getLambdas() - Method in class jline.api.qsys.QsysMmapGk1Result
getLastBatch() - Method in class jline.lang.processes.BMMAPt: The batch size of the interval last returned by BMMAPt.sample(int, Random).
getLastMark() - Method in class jline.lang.processes.BMMAPt: The 1-based mark of the interval last returned by BMMAPt.sample(int, Random).
getLastMark() - Method in class jline.lang.processes.MMAPt: The 1-based mark of the interval last returned by MMAPt.sample(int, Random).
getLastMark() - Method in class jline.lang.processes.MPHt: The 1-based mark of the interval last returned by MPHt.sample(int, Random).
getLastPushTime() - Method in class jline.streaming.Collector: Get the last push time.
getLastReplicationsRequested() - Method in class jline.solvers.wrappers.jmt.SolverJMT: Replications the last transient ensemble (runAnalyzer or getTranProbAggr) asked for.
getLastReplicationsValid() - Method in class jline.solvers.wrappers.jmt.SolverJMT: Replications of the last transient ensemble that produced a usable sample path.
getLayer(Object) - Method in class jline.opt.variables.ActivityThinkTime
getLayer(Object) - Method in class jline.opt.variables.DecisionVariable: LQN layer name(s) this variable perturbs, or null for flat-network variables.
getLayer(Object) - Method in class jline.opt.variables.HostDemand
getLayer(Object) - Method in class jline.opt.variables.ProcessorMultiplicity
getLayer(Object) - Method in class jline.opt.variables.TaskMultiplicity
getLayer(Object) - Method in class jline.opt.variables.TaskReplication
getLayer(Object) - Method in class jline.opt.variables.TaskThinkTime
getLayeredFeatureSet() - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: The layered feature set: what a layer of a LayeredNetwork may use.
getLayeredModel() - Method in class jline.solvers.wrappers.lqns.SolverLQNS: The layered model this solver holds, or null for a flat Network.
getLayerMethods() - Method in class jline.solvers.LayeredNetworkSensitivityTable: Returns the branch taken by each layer, the counterpart of MATLAB's SensTable.Properties.UserData.layerMethods.
getLayerNames() - Method in class jline.solvers.LayeredNetworkSensitivityTable
getLayers() - Method in class jline.io.tikz.TikZLayoutEngine: Gets the layers (for debugging/testing).
getLayers() - Method in class jline.lang.layered.LayeredNetwork: Gets the list of network layers in this layered network.
getLayerSens() - Method in class jline.solvers.LayeredNetworkSensitivityTable: Returns the raw differentiated-MVA result of each layer, the counterpart of the cell array that MATLAB returns as the second output alongside the table.
getLayerSpacing() - Method in class jline.io.tikz.TikZOptions
getlE() - Method in class jline.io.Ret.cacheMissSpm
getLeft() - Method in class jline.util.Pair
getLevelProb() - Method in class jline.api.mam.QbdRapResult: Row vector of marginal level probabilities, levels 0 to numLevels.
getLft() - Method in class jline.lang.processes.Expolynomial: Returns the latest firing time, i.e.
getLibrariesUsed(NetworkStruct, SolverOptions) - Method in class jline.solvers.fluid.SolverFluid: Bundled third-party libraries used by the fluid solver: rmf_tool backs the refined mean-field methods.
getLibrariesUsed(NetworkStruct, SolverOptions) - Method in class jline.solvers.mam.SolverMAM: Bundled third-party libraries used by the matrix-analytic solver: MAMSolver for the M/G/1 and GI/M/1-type decompositions, Q-MAM for the RCAT-based methods, and BUTools wherever a MAP/PH process is present.
getLibrariesUsed(NetworkStruct, SolverOptions) - Method in class jline.solvers.NetworkSolver: Third-party libraries this solver will use on the given model, named once per session by NetworkSolver.showLibraryAttribution(jline.lang.NetworkStruct, jline.solvers.SolverOptions).
getLifelineSpacing() - Method in class jline.io.tikz.SequenceDiagramOptions
getLifelineX(Task) - Method in class jline.io.tikz.SequenceDiagramLayoutEngine
getLimitedClassDependence() - Method in class jline.lang.Network: Gets the class-dependence functions beta_i(n) of the stations that declare one.
getLimitedClassDependence() - Method in class jline.lang.nodes.Station: Gets the limited class-dependent scaling function for this station.
getLimitedClassDependencePeak() - Method in class jline.lang.Network: Peak (max) class-dependent rate scaling per class for each class-dependent station, as a 1xR row vector (scalar declarations broadcast to R classes).
getLimitedClassDependencePeak() - Method in class jline.lang.nodes.Station: Gets the declared peak class-dependent rate scaling per class.
getLimitedJointDependence() - Method in class jline.lang.Network: Map from station to its joint-dependence (non-product-form) function eta_i(n); empty if none.
getLimitedJointDependence() - Method in class jline.lang.nodes.Station: Gets the limited joint-dependent (non-product-form) scaling function.
getLimitedJointDependencePeak() - Method in class jline.lang.Network: Peak joint-dependent rate scaling per class for each joint-dependent station, as a 1xR row vector.
getLimitedJointDependencePeak() - Method in class jline.lang.nodes.Station: Gets the declared peak joint-dependent rate scaling per class.
getLimitedLoadDependence() - Method in class jline.lang.Network
getLimitedLoadDependence() - Method in class jline.lang.nodes.Station: Gets the limited load-dependent scaling matrix for this station.
getLinearConstraints() - Method in class jline.lang.layered.LayeredNetworkElement: Positional constraint pair declared on this element, before name resolution.
getLinearConstraints() - Method in class jline.lang.Region: Gets the linear admission constraints as the pair (A, b).
getLinkedRoutingMatrix() - Method in class jline.lang.Network
getLinkMatrix() - Method in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
getLinkMatrix() - Method in class jline.api.wf.Wf_pattern_updater.UpdatedWorkflow
getList() - Method in class jline.solvers.NetworkAvgCacheTable
getList() - Method in class jline.solvers.NetworkAvgItemTable
getListCap() - Method in class jline.solvers.NetworkAvgCacheTable
getListCap() - Method in class jline.solvers.NetworkAvgItemTable
getListCost() - Method in class jline.lang.nodes.Cache: Gets the mean storage cost held by each list.
getListCost() - Method in class jline.solvers.NetworkAvgCacheTable
getLNAvgCallTput() - Method in class jline.solvers.ldes.SolverLDES: Rate at which each call is dispatched, counted at the caller.
getLNAvgCallUtil() - Method in class jline.solvers.ldes.SolverLDES: Per-call occupancy of the called task's thread pool, in job units.
getLNAvgEntryClassUtil() - Method in class jline.solvers.ldes.SolverLDES: Occupancy contributed by each entry's own request stream, in job units.
getLNAvgTable() - Method in class jline.solvers.ldes.SolverLDES: Returns average metrics for a LayeredNetwork model as a table.
getLNAvgTable() - Method in class jline.solvers.wrappers.lqns.SolverLQNS: The per-element table of a LayeredNetwork.
getLNAvgTableImpl() - Method in class jline.solvers.wrappers.lqns.SolverLQNS: Body of SolverLQNS.getLNAvgTable(), split out so LineResultRecorder sees what the getter RETURNED.
getLNAvgThinkTime() - Method in class jline.solvers.ldes.SolverLDES: Mean think time of every LQN element, at task indices and zero elsewhere.
getLNFeatureSet() - Static method in class jline.solvers.ldes.SolverLDES: Returns the feature set supported by the LDES solver for LayeredNetwork models.
getLNModel() - Method in class jline.solvers.ldes.SolverLDES: Returns the LayeredNetwork model (if solving an LQN).
getLNStruct() - Method in class jline.solvers.ldes.SolverLDES: Returns the LayeredNetworkStruct (if solving an LQN).
getLogCapacity() - Method in class jline.lib.perm.SaddlePointPermanent: Log Gurvits capacity at the saddle point, an upper bound on the log permanent.
getLoggerName() - Method in class jline.lang.nodes.Logger
getLogLikelihood() - Method in class jline.lib.kpctoolbox.erchmm.ERCHMMFitResult
getLogPath() - Method in class jline.lang.Network
getLogValue() - Method in class jline.lib.perm.SaddlePointPermanent: Logarithm of the estimate, correct even when the estimate overflows.
getLoopProbability(int, Matrix, List<Integer>) - Static method in class jline.api.wf.Wf_loop_detector
getLoops() - Method in class jline.api.wf.Wf_analyzer.DetectedPatterns
getLoopStats(List<Integer>, Matrix, List<Integer>) - Static method in class jline.api.wf.Wf_loop_detector
getLossRate() - Method in class jline.solvers.NetworkLossTable
getLossRatio() - Method in class jline.solvers.NetworkLossTable
getLowerLimit() - Method in class jline.lang.Metric
getLq() - Method in class jline.api.nc.MeGegecnResult: Mean number of jobs waiting.
getLqnModel() - Method in class jline.opt.OptimizationProblem: The LQN model, or null when the problem is flat.
getLstAoI() - Method in class jline.api.aoi.AoiLstResult
getM() - Method in class jline.api.cache.CacheMissFpiResult
getM() - Method in class jline.api.mapqn.LinearReductionParameters
getM() - Method in class jline.api.mapqn.Mapqn_parameters
getM() - Method in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
getM() - Method in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
getM() - Method in class jline.api.mapqn.MVAVersionParameters
getM() - Method in class jline.io.Ret.cacheMissSpm
getM() - Method in class jline.lib.rmf.CacheRMF
getMAMResult() - Method in class jline.solvers.mam.SolverMAM: Intermediate quantities of the matrix-analytic analysis of a single-queue model, in addition to the mean performance measures returned by getAvg.
getMAP() - Method in class jline.lib.kpctoolbox.erchmm.ERCHMMFitResult
getMapping() - Method in class jline.api.pfqn.PfqnUniqueResult
getMAPs() - Method in class jline.api.mam.QbdMapMap1Result
getMarginal(int[]) - Method in class jline.lang.processes.MultivariateNormal: Extracts a marginal distribution for a subset of dimensions.
getMarginal(int, int) - Method in class jline.solvers.mva.ProbabilityResult: Get the marginal probability distribution for a specific station and class.
getMarginalP2(Mapqn_solution, int, int, int) - Static method in class jline.api.mapqn.Mapqn_bnd_qr_delay
getMarginalUniv(int) - Method in class jline.lang.processes.MultivariateNormal: Extracts a univariate marginal distribution.
getMarkedClasses() - Method in class jline.lang.nodes.Source
getMarkedCTMC() - Method in class jline.solvers.ctmc.SolverCTMC: Get the MarkedCTMC representation of the model
getMarkedCTMC(SolverOptions) - Method in class jline.solvers.ctmc.SolverCTMC: Get the MarkedCTMC representation of the model with specified options
getMarkedProcess() - Method in class jline.lang.nodes.Source
getMarkProbabilities() - Method in class jline.lang.processes.MPH: The probability that a completion carries mark k, alpha (-S)^-1 s_k.
getMarkSegments() - Method in class jline.lang.processes.BMMAPt: All batch-aggregated mark blocks, mark-major: get(c).get(j) is mark c+1 in segment j.
getMarkSegments() - Method in class jline.lang.processes.MMAPt: All mark blocks, mark-major: get(c).get(j) is mark c+1 in segment j.
getMass0() - Method in class jline.lib.butools.mam.GeneralFluidSolution
getMasterSeed() - Static method in class jline.util.RandomManager: Gets the current master seed.
getMatrix() - Method in class jline.lang.ClassSwitchMatrix: Expose the raw Matrix only if callers genuinely need it
getMatrix() - Method in class jline.lib.perm.PermSolver
getMaxBatchSize() - Method in class jline.lang.processes.BMAP: Get the maximum batch size supported by this BMAP
getMaxBatchSize() - Method in class jline.lang.processes.BMMAPt: The largest batch size the schedule declares.
getMaxComponent() - Method in class odesolver.LSODA
getMaxEvaluations() - Method in class odesolver.LSODA
getMaxEvents() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getMaxInt() - Static method in class jline.GlobalConstants: Gets the maximum integer value.
getMaxIter() - Method in class jline.api.mam.LdqbdOptions
getMaxIter() - Method in class jline.api.nc.MeOqnOptions
getMaxJobs() - Method in class jline.lang.constant.BalkingThreshold: Get the maximum queue length for this threshold.
getMaxLevel() - Method in class jline.io.tikz.SequenceDiagramLayoutEngine
getMaxNumComp() - Method in class jline.lib.qmam.MAPDcOptions
getMaxNumComp() - Method in class jline.lib.qmam.MAPMAP1Options
getMaxNumComp() - Method in class jline.lib.qmam.MAPMcOptions
getMaxNumComp() - Method in class jline.lib.qmam.MMAPKPHK1Options
getMaxNumComp() - Method in class jline.lib.qmam.PHPH1Options
getMaxNumComp() - Method in class jline.lib.smc.GIM1PiOptions
getMaxNumComp() - Method in class jline.lib.smc.MG1PiOptions
getMaxNumComp() - Method in class jline.lib.smc.NSFPiOptions
getMaxNumIt() - Method in class jline.lib.smc.MG1CROptions
getMaxNumIt() - Method in class jline.lib.smc.MG1FIOptions
getMaxNumIt() - Method in class jline.lib.smc.NSFGHTOptions
getMaxNumRoot() - Method in class jline.lib.smc.MG1CROptions
getMaxRetrialAttempts() - Method in class jline.lang.JobClass: Gets the maximum number of retrial attempts for this job class.
getMaxRetrialAttempts(JobClass) - Method in class jline.lang.nodes.Station: Gets the effective maximum retrial attempts for a specific job class.
getMaxRetrialAttemptsLocal(JobClass) - Method in class jline.lang.nodes.Station: Gets the station-specific maximum retrial attempts (without fallback).
getMaxSamples() - Method in class jline.lang.Metric
getMaxSamples() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getMaxServers() - Method in class jline.opt.variables.ServerAllocation
getMaxSimulatedTime() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getMaxValue() - Method in class jline.opt.objectives.ResponseTimeConstraint
getMaxValue() - Method in class jline.opt.objectives.SystemResponseTimeConstraint
getMaxValue() - Method in class jline.opt.objectives.UtilizationConstraint
getMean() - Method in class jline.api.trace.SingleClassCountStats
getMean() - Method in class jline.lang.processes.Bernoulli
getMean() - Method in class jline.lang.processes.Binomial
getMean() - Method in class jline.lang.processes.BMMAPt: The Palm mean interval BETWEEN EPOCHS of the time-averaged aggregate MAP, matching BMAP whose inter-batch process is the aggregate.
getMean() - Method in class jline.lang.processes.Coxian
getMean() - Method in class jline.lang.processes.Det: Gets the mean of this deterministic distribution.
getMean() - Method in class jline.lang.processes.Disabled
getMean() - Method in class jline.lang.processes.DiscreteSampler: Computes the distribution mean
getMean() - Method in class jline.lang.processes.DiscreteUniform
getMean() - Method in class jline.lang.processes.Distribution: Gets the mean (expected value) of this distribution.
getMean() - Method in class jline.lang.processes.DMAP: Mean inter-arrival time: pi * (I - D0)^{-1} * e
getMean() - Method in class jline.lang.processes.EmpiricalCDF
getMean() - Method in class jline.lang.processes.Erlang: Gets the mean of this Erlang distribution.
getMean() - Method in class jline.lang.processes.Exp: Gets the mean of this exponential distribution.
getMean() - Method in class jline.lang.processes.Expolynomial: Returns NaN: the mean is not obtained by numerical integration.
getMean() - Method in class jline.lang.processes.Gamma
getMean() - Method in class jline.lang.processes.Geometric
getMean() - Method in class jline.lang.processes.GMM
getMean() - Method in class jline.lang.processes.HyperExp
getMean() - Method in class jline.lang.processes.Immediate
getMean() - Method in class jline.lang.processes.Lognormal
getMean() - Method in class jline.lang.processes.MAP
getMean() - Method in class jline.lang.processes.MAPt: Palm mean interval of the time-averaged MAP.
getMean() - Method in class jline.lang.processes.Markovian: Gets the mean of this Markovian distribution.
getMean() - Method in class jline.lang.processes.ME: Gets the mean, m1 = -alpha*A^(-1)*e.
getMean() - Method in class jline.lang.processes.MMAPt
getMean() - Method in class jline.lang.processes.MMDP
getMean() - Method in class jline.lang.processes.MMPP2
getMean() - Method in class jline.lang.processes.MPHt
getMean() - Method in class jline.lang.processes.MultivariateNormal: Gets the mean of the first component (for Prior compatibility).
getMean() - Method in class jline.lang.processes.NHPP
getMean() - Method in class jline.lang.processes.Normal
getMean() - Method in class jline.lang.processes.Pareto
getMean() - Method in class jline.lang.processes.PH
getMean() - Method in class jline.lang.processes.PHt: Mean of the time-averaged phase-type.
getMean() - Method in class jline.lang.processes.Poisson
getMean() - Method in class jline.lang.processes.Prior: Gets the prior-weighted mean (expected mean over alternatives).
getMean() - Method in class jline.lang.processes.Replayer
getMean() - Method in class jline.lang.processes.Uniform
getMean() - Method in class jline.lang.processes.Weibull
getMean() - Method in class jline.lang.processes.Zipf: Computes the distribution mean
getMean() - Method in class jline.solvers.uq.SolverUQ.EmpiricalCDF: Returns the mean of the distribution.
getMeanAoI() - Method in class jline.api.aoi.AoiLstResult
getMeanAoI() - Method in class jline.api.aoi.AoiResult
getMeanBatchSize() - Method in class jline.lang.processes.BMAP: Get the mean batch size (expected number of arrivals per batch) Computed as weighted average of batch sizes by their rates: E[batch size] = sum(k * rate_k) / sum(rate_k)
getMeanBatchSize() - Method in class jline.lang.processes.BMMAPt: Mean jobs per epoch of the time-averaged process.
getMeanBatchSize() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
getMeanHostDemand(String) - Method in class jline.lang.layered.Task
getMeanQueueLength() - Method in class jline.api.dqsys.GeoGeo1Result: Mean number of jobs in the system.
getMeanQueueLength() - Method in class jline.api.dqsys.GeoXGeo1Result: Mean number of jobs in the system.
getMeanQueueLength() - Method in class jline.api.qsys.DmcResult
getMeanQueueLength() - Method in class jline.api.qsys.MDcCrommelinResult
getMeanQueueLength() - Method in class jline.api.qsys.PhM1Result
getMeanQueueLength() - Method in class jline.api.qsys.PhMcResult
getMeanQueueLength() - Method in class jline.api.qsys.QsysMapDcResult
getMeanQueueLength() - Method in class jline.api.qsys.QsysMapPhcResult
getMeanQueueLength() - Method in class jline.api.qsys.QsysMapPhResult
getMeanQueueLength() - Method in class jline.api.qsys.QsysMmapGk1Result
getMeanQueueLength() - Method in class jline.lib.qmam.DTQueueResult: Mean number in system, sum_i i * P[i in system].
getMeanQueueLength() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
getMeanRate() - Method in class jline.lang.processes.MMDP: Computes the stationary mean rate.
getMeanRate() - Method in class jline.lang.processes.MMDP2: Computes the stationary mean rate (closed-form).
getMeanResponseTime() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
getMeans() - Method in class jline.lang.processes.GMM
getMeanServiceTime() - Method in class jline.api.dqsys.GeoGeo1Result: Mean service time in slots: 1/s under GeoGeo1Convention.LAS_DA (support {1,2,...}) and (1-s)/s under GeoGeo1Convention.EAS (support {0,1,...}).
getMeanServiceTime() - Method in class jline.api.dqsys.GeoXGeo1Result: Mean service time in slots, 1/s under LAS_DA and (1-s)/s under EAS.
getMeanSojournTime() - Method in class jline.api.dqsys.GeoGeo1Result: Mean sojourn time in slots.
getMeanSojournTime() - Method in class jline.api.dqsys.GeoXGeo1Result: Mean sojourn time in slots, per job (not per batch).
getMeanSojournTime() - Method in class jline.api.qsys.DmcResult
getMeanSojournTime() - Method in class jline.api.qsys.MDcCrommelinResult
getMeanSojournTime() - Method in class jline.api.qsys.PhM1Result
getMeanSojournTime() - Method in class jline.api.qsys.PhMcResult
getMeanSojournTime() - Method in class jline.api.qsys.QsysMapDcResult
getMeanSojournTime() - Method in class jline.api.qsys.QsysMapPhcResult
getMeanSojournTime() - Method in class jline.api.qsys.QsysMapPhResult
getMeanSojournTime() - Method in class jline.api.qsys.QsysMmapGk1Result
getMeanValue() - Method in class jline.lang.Metric
getMeanVector() - Method in class jline.lang.processes.MultivariateNormal: Gets the mean vector.
getMeanWaitingQueue() - Method in class jline.api.dqsys.GeoGeo1Result: Mean number of jobs waiting, i.e.
getMeanWaitingQueue() - Method in class jline.api.dqsys.GeoXGeo1Result: Mean number of jobs waiting, i.e.
getMeanWaitingQueue() - Method in class jline.api.qsys.DmcResult
getMeanWaitingQueue() - Method in class jline.api.qsys.MDcCrommelinResult
getMeanWaitingQueue() - Method in class jline.api.qsys.PhM1Result
getMeanWaitingQueue() - Method in class jline.api.qsys.PhMcResult
getMeanWaitingTime() - Method in class jline.api.dqsys.GeoGeo1Result: Mean waiting time in slots, identical in both conventions.
getMeanWaitingTime() - Method in class jline.api.dqsys.GeoXGeo1Result: Mean waiting time in slots, per job.
getMeanWaitingTime() - Method in class jline.api.qsys.DmcResult
getMeanWaitingTime() - Method in class jline.api.qsys.MDcCrommelinResult
getMeanWaitingTime() - Method in class jline.api.qsys.PhM1Result
getMeanWaitingTime() - Method in class jline.api.qsys.PhMcResult
getMeanWaitingTime() - Method in class jline.api.qsys.QsysMapDcResult
getMeanWaitingTime() - Method in class jline.api.qsys.QsysMapPhcResult
getMeanWaitingTime() - Method in class jline.api.qsys.QsysMapPhResult
getMeanWaitingTime() - Method in class jline.api.qsys.QsysMmapGk1Result
getmefunction(ArrayList<Double>) - Static method in class jline.lib.lti.cme
getMemory() - Method in class jline.lib.perm.PermSolver
getMessageSpacing() - Method in class jline.io.tikz.SequenceDiagramOptions
getMetadata() - Method in class jline.lang.workflow.WorkflowActivity: Get optional metadata (e.g., from WfCommons).
getMetadataValue(String) - Method in class jline.lang.workflow.WorkflowActivity: Get a metadata value by key.
getMethod() - Method in class jline.lib.m3a.M3aCompressOptions
getMethod() - Method in class jline.lib.m3a.M3aFitOptions
getMethod() - Method in class jline.solvers.auto.SolverCandidate
getMethod() - Method in class jline.solvers.LayeredNetworkSensitivityTable: Returns the branch summary of the table, the counterpart of MATLAB's SensTable.Properties.UserData.method.
getMethod() - Method in class jline.solvers.NetworkSensitivityTable: Returns the branch that produced the table, the counterpart of MATLAB's SensTable.Properties.UserData.method.
getMethodClass() - Method in class jline.solvers.auto.SolverCandidate
getMethodFeatureSet(String) - Method in class jline.solvers.ag.SolverAG
getMethodFeatureSet(String) - Method in class jline.solvers.ba.SolverBA: The base envelope with the per-method deltas the registry CAN name.
getMethodFeatureSet(String) - Method in class jline.solvers.ctmc.SolverCTMC: Per-method feature deltas applied to the base CTMC envelope.
getMethodFeatureSet(String) - Method in class jline.solvers.fluid.SolverFluid: Per-method feature envelope, mirroring the MATLAB SolverFLD.getMethodFeatureSet.
getMethodFeatureSet(String) - Method in class jline.solvers.mam.SolverMAM
getMethodFeatureSet(String) - Method in class jline.solvers.mva.SolverMVA: The per-method envelope plus the one MVA rule that is judged on the MODEL rather than on the name, which is why it cannot live in the static SolverMVA.methodFeatureSet(java.lang.String) table.
getMethodFeatureSet(String) - Method in class jline.solvers.nc.SolverNC
getMethodFeatureSet(String) - Method in class jline.solvers.Solver: Per-method feature set, or null to signal "this solver does not diverge per method" (the coarse supports(model) is then used, preserving any structural checks it carries).
getMethodFeatureSet(String) - Method in class jline.solvers.wrappers.jmt.SolverJMT: SolverJMT drives TWO ENGINES, and they accept different models.
getMethodFeatureSet(String) - Method in class jline.solvers.wrappers.lqns.SolverLQNS: The per-method envelope: the Network feature set for the qns methods, and none on a LayeredNetwork, whose gate is the coarse layered test.
getMetrics() - Method in class jline.solvers.auto.SolverCandidate
getMetricType() - Method in class jline.lang.Metric
getMi() - Method in class jline.api.pfqn.PfqnUniqueResult
getMI() - Method in class jline.api.cache.CacheMissFpiResult
getMI() - Method in class jline.io.Ret.cacheMissSpm
getMinJobs() - Method in class jline.lang.constant.BalkingThreshold: Get the minimum queue length for this threshold.
getMinProbToShow() - Method in class jline.io.tikz.TikZOptions
getMinSCV(int) - Static method in class jline.lang.processes.CME: Gets the tabulated minimal SCV attained by a CME of the given order.
getMinServers() - Method in class jline.opt.variables.ServerAllocation
getMinValue() - Method in class jline.opt.objectives.ThroughputConstraint
getMissClass() - Method in class jline.lang.nodes.Cache: For an incoming job of class r, MISSCLASS[r] is the new class of that job after a miss
getMissProb() - Method in class jline.solvers.NetworkAvgCacheTable
getMissrate() - Method in class jline.api.cache.CacheRrmMeanfieldResult
getMissRate() - Method in class jline.solvers.NetworkAvgCacheTable
getMissratio() - Method in class jline.api.cache.CacheRrmMeanfieldResult
getMissRatio() - Method in class jline.lang.nodes.Cache: Gets the actual miss probability/ratio for each job class.
getMk() - Method in class jline.api.fj.CharMaxResult
getMK() - Method in class jline.api.fj.CharMaxResult
getMK() - Method in class jline.api.fj.FJ_xmax.FJXmaxParetoResult
getMmtCache() - Method in class jline.solvers.mva.handlers.MVARunner: The MMT transformation this run built or reused, for the owning solver to keep.
getMode() - Method in class jline.lang.ModeEvent
getMode() - Method in class jline.lib.qmam.MAPMAP1Options
getMode() - Method in class jline.lib.qmam.MAPMcOptions
getMode() - Method in class jline.lib.qmam.MMAPKPHK1Options
getMode() - Method in class jline.lib.smc.MG1CROptions
getMode() - Method in class jline.lib.smc.MG1FIOptions
getMode() - Method in class jline.lib.smc.MG1PiOptions
getMode() - Method in class jline.opt.variables.ClassPriority
getModel() - Method in class jline.lang.nodes.Fork
getModel() - Method in class jline.lang.nodes.Join
getModel() - Method in class jline.lang.nodes.Logger
getModel() - Method in class jline.lang.nodes.Node: Returns the network model containing this node.
getModel() - Method in class jline.lang.nodes.StatefulFork
getModel() - Method in class jline.lang.Signal: Gets the network model this signal belongs to.
getModel() - Method in class jline.opt.LineEvaluator
getModel() - Method in class jline.opt.OptimizationProblem: The flat network model, or null when the problem is layered.
getModel() - Method in class jline.solvers.NetworkSolver: Returns the queueing network model being solved.
getModel() - Method in class jline.solvers.wrappers.jmt.io.JMTIO
getModel(int) - Method in class jline.lang.Ensemble: Gets a specific network model from the ensemble by index.
getModel(String) - Static method in class jline.unified.ModelRegistry: Get a model by name.
getModelDimension() - Method in class jline.lib.rmf.CacheRMF
getModeNames() - Method in class jline.lang.nodes.Transition
getModes() - Method in class jline.lang.nodes.Transition
getMomentChainT() - Method in class jline.solvers.NetworkSolver
getMomentChainT(int) - Method in class jline.solvers.NetworkSolver
getMomentChainT(int[]) - Method in class jline.solvers.NetworkSolver
getMomentChainTable() - Method in class jline.solvers.NetworkSolver: Higher moments of the per-chain queue length, up to the second moment.
getMomentChainTable(int) - Method in class jline.solvers.NetworkSolver: Higher moments of the per-chain queue length, up to the given moment order.
getMomentChainTable(int[]) - Method in class jline.solvers.NetworkSolver: Higher moments of the per-chain queue length.
getMoments() - Method in class jline.lang.processes.EmpiricalCDF: Calculate the first three moments, SCV, and skewness
getMoments() - Method in class jline.lang.processes.Markovian: Gets the first three moments of this distribution.
getMoments() - Method in class jline.solvers.NetworkMomentChainTable: Returns the raw moment results, including the cross-chain and cross-station covariances that this table does not show.
getMoments() - Method in class jline.solvers.NetworkMomentStationTable: Returns the raw moment results, including the cross-station covariance matrix that this table does not show.
getMoments() - Method in class jline.solvers.NetworkMomentTable: Returns the raw moment results, including the full per-station covariance blocks that this table shows only the diagonal of.
getMomentStationT() - Method in class jline.solvers.NetworkSolver
getMomentStationT(int) - Method in class jline.solvers.NetworkSolver
getMomentStationT(int[]) - Method in class jline.solvers.NetworkSolver
getMomentStationTable() - Method in class jline.solvers.NetworkSolver: Higher moments of the total queue length, up to the second moment.
getMomentStationTable(int) - Method in class jline.solvers.NetworkSolver: Higher moments of the total queue length, up to the given moment order.
getMomentStationTable(int[]) - Method in class jline.solvers.NetworkSolver: Higher moments of the total queue length.
getMomentT() - Method in class jline.solvers.NetworkSolver
getMomentT(int) - Method in class jline.solvers.NetworkSolver
getMomentT(int[]) - Method in class jline.solvers.NetworkSolver
getMomentTable() - Method in class jline.solvers.NetworkSolver: Exact higher moments of the per-class performance measures, up to the second moment.
getMomentTable(int) - Method in class jline.solvers.NetworkSolver: Exact higher moments of the per-class performance measures, up to the given moment order.
getMomentTable(int[]) - Method in class jline.solvers.NetworkSolver: Exact higher moments of the per-class performance measures.
getMomentTable(int[], String) - Method in class jline.solvers.NetworkSolver: Higher moments of the per-class performance measures, selecting how the queue-length moments are obtained on a closed single-server model.
getMu() - Method in class jline.lang.processes.Coxian
getMu() - Method in class jline.lang.processes.Det: Gets the rate (inverse of the constant value).
getMu() - Method in class jline.lang.processes.Disabled
getMu() - Method in class jline.lang.processes.DMAP: Row sums of (I - D0).
getMu() - Method in class jline.lang.processes.Immediate
getMu() - Method in class jline.lang.processes.Markovian: Gets the diagonal rate matrix containing the negative diagonal elements of D0.
getMu() - Method in class jline.lib.butools.queues.FluFluResult
getMu() - Method in class jline.lib.fjcodes.FJService
getMU() - Method in class jline.api.cache.CacheMissFpiResult
getMU() - Method in class jline.io.Ret.cacheMissSpm
getMu_unique() - Method in class jline.api.pfqn.PfqnUniqueResult
getMultiplicity() - Method in class jline.lang.layered.Host
getMultiplicity() - Method in class jline.lang.layered.Task
getN() - Method in class jline.api.mapqn.LinearReductionParameters
getN() - Method in class jline.api.mapqn.Mapqn_parameters
getN() - Method in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
getN() - Method in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
getN() - Method in class jline.api.mapqn.MVAVersionParameters
getN() - Method in class jline.api.nc.MeGegecnResult: Buffer capacity in jobs.
getN() - Method in class jline.api.qsys.RetrialInfo
getN() - Method in class jline.lib.perm.PermSolver
getN_server() - Method in class jline.api.qsys.QsysRetrialResult
getName() - Method in class jline.io.ModelVisualizer.ModelVertex
getName() - Method in class jline.lang.Element: Gets the name of this element.
getName() - Method in class jline.lang.Model: Gets the name of this model.
getName() - Method in class jline.lang.processes.BMAP: Returns the name of this distribution type.
getName() - Method in class jline.lang.processes.Distribution: Gets the name of this distribution type.
getName() - Method in class jline.lang.processes.MMAP: Returns the name of this distribution type.
getName() - Method in class jline.lang.processes.Process: Get the name of this process
getName() - Method in class jline.lang.Region
getName() - Method in class jline.opt.objectives.Constraint
getName() - Method in class jline.opt.variables.DecisionVariable
getName() - Method in class jline.solvers.env.SolverENV
getName() - Method in class jline.solvers.Solver: Returns the name identifier of this solver.
getName() - Method in class jline.util.NamedParam: Returns the name of this named parameter.
getName() - Method in class odesolver.LSODA
getNegativeIstateCount() - Static method in class jline.solvers.fluid.LSODAExt: Calls that returned normally with a negative istate, i.e.
getNewdim() - Method in class jline.lib.fjcodes.GenerateServiceResult
getnLevels() - Method in class jline.lang.nodes.Cache: Gets the number of cache levels.
getNode() - Method in class jline.inference.lang.ConditionEvent
getNode() - Method in class jline.inference.lang.SampledMetric
getNode() - Method in class jline.lang.Event: Gets the node index where this event occurred.
getNode() - Method in class jline.lang.ModeEvent
getNode() - Method in class jline.lang.reward.RewardDescriptor
getNodeAvgT() - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable().
getNodeAvgT(boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(boolean keepDisabled).
getNodeAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
getNodeAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
getNodeAvgT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(SolverAvgHandles avgHandles).
getNodeAvgT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(SolverAvgHandles avgHandles, boolean keepDisabled).
getNodeByIndex(int) - Method in class jline.lang.Network
getNodeByName(String) - Method in class jline.lang.layered.LayeredNetwork: Retrieves a network element by its name.
getNodeByName(String) - Method in class jline.lang.Network
getNodeByStatefulIndex(int) - Method in class jline.lang.Network
getNodeChainAvgT() - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable().
getNodeChainAvgT(boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable(boolean keepDisabled).
getNodeChainAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
getNodeChainAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
getNodeChainAvgT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable(SolverAvgHandles avgHandles).
getNodeChainAvgT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable(SolverAvgHandles avgHandles, boolean keepDisabled).
getNodeFailures() - Method in class jline.lang.Environment
getNodeIdx() - Method in class jline.api.qsys.RetrialInfo
getNodeIndex() - Method in class jline.lang.nodes.Node: Gets the index of this node in the network's node collection.
getNodeIndex(String) - Method in class jline.lang.Network
getNodeIndex(LayeredNetworkElement) - Method in class jline.lang.layered.LayeredNetwork: Gets the index of a network element in the node collection.
getNodeIndex(Node) - Method in class jline.lang.Network
getNodeIndex(Node) - Method in class jline.lang.RoutingMatrix
getNodeNames() - Method in class jline.lang.layered.LayeredNetwork: Gets the names of all network elements (hosts, tasks, entries, activities).
getNodeNames() - Method in class jline.lang.Network
getNodeNames() - Method in class jline.solvers.LayeredNetworkAvgTable
getNodeNames() - Method in class jline.solvers.NetworkAvgCacheTable
getNodeNames() - Method in class jline.solvers.NetworkAvgItemTable
getNodeNames() - Method in class jline.solvers.NetworkAvgNodeChainTable
getNodeNames() - Method in class jline.solvers.NetworkAvgNodeTable
getNodes() - Method in class jline.lang.Graph: Returns the list of node names in the graph.
getNodes() - Method in class jline.lang.Network: Returns the list of all nodes in this network.
getNodes() - Method in class jline.lang.Region
getNodeSpacing() - Method in class jline.io.tikz.TikZOptions
getNodeStateSpace() - Method in class jline.api.mc.CtmcSsgReachabilityResult
getNodeType() - Method in class jline.lang.Metric
getNodeTypes() - Method in class jline.lang.Network
getNodeTypes() - Method in class jline.solvers.LayeredNetworkAvgTable
getNonDelayStationIndices(Network) - Static method in class jline.bench.BenchmarkUtils: Get indices of non-delay stations
getNonZeroBlocks() - Method in class jline.lib.smc.MG1FIOptions
getNonZeroCol(int) - Method in class jline.util.matrix.RowView: Returns the column index of the i-th non-zero element in this row.
getNonZeroCols() - Method in class jline.util.matrix.Matrix: Returns an array of unique column indices containing non-zero elements.
getNonZeroCount() - Method in class jline.util.matrix.ColumnView: Returns the number of non-zero elements in this column.
getNonZeroCount() - Method in class jline.util.matrix.RowView: Returns the number of non-zero elements in this row.
getNonZeroLength() - Method in class jline.util.matrix.BaseMatrix: Returns the number of stored non-zero elements.
getNonZeroLength() - Method in class jline.util.matrix.DenseMatrix
getNonZeroLength() - Method in class jline.util.matrix.Matrix: Deprecated.
getNonZeroLength() - Method in class jline.util.matrix.SparseMatrix
getNonZeroRow(int) - Method in class jline.util.matrix.BaseMatrix
getNonZeroRow(int) - Method in class jline.util.matrix.ColumnView: Returns the row index of the i-th non-zero element in this column.
getNonZeroRow(int) - Method in class jline.util.matrix.DenseMatrix
getNonZeroRow(int) - Method in class jline.util.matrix.SparseMatrix
getNonZeroRows() - Method in class jline.util.matrix.BaseMatrix: Returns array of row indices of non-zero entries.
getNonZeroRows() - Method in class jline.util.matrix.DenseMatrix
getNonZeroRows() - Method in class jline.util.matrix.Matrix: Deprecated.
getNonZeroRows() - Method in class jline.util.matrix.SparseMatrix
getNonZeros() - Method in class jline.util.matrix.BaseMatrix: Returns the number of non-zero elements in the matrix.
getNonZeros() - Method in class jline.util.matrix.DenseMatrix
getNonZeros() - Method in class jline.util.matrix.Matrix: Returns the number of non-zero elements in this matrix.
getNonZeros() - Method in class jline.util.matrix.SparseMatrix: Returns the number of non-zero elements in the matrix.
getNonZeroValue(int) - Method in class jline.util.matrix.BaseMatrix
getNonZeroValue(int) - Method in class jline.util.matrix.ColumnView: Returns the value of the i-th non-zero element in this column.
getNonZeroValue(int) - Method in class jline.util.matrix.DenseMatrix
getNonZeroValue(int) - Method in class jline.util.matrix.RowView: Returns the value of the i-th non-zero element in this row.
getNonZeroValue(int) - Method in class jline.util.matrix.SparseMatrix
getNonZeroValues() - Method in class jline.util.matrix.BaseMatrix: Returns array of non-zero values.
getNonZeroValues() - Method in class jline.util.matrix.DenseMatrix
getNonZeroValues() - Method in class jline.util.matrix.Matrix: Deprecated.
getNonZeroValues() - Method in class jline.util.matrix.SparseMatrix
getNormalizingConstant() - Method in class jline.solvers.nc.SolverNC: Get the normalizing constant and its logarithm
getnormalrandom(int) - Static method in class jline.lib.lti.cme
getNtypes() - Method in class jline.io.Ret.mamMMAPSample
getNumAlternatives() - Method in class jline.lang.processes.Prior: Returns the number of alternative distributions.
getNumAlternatives() - Method in class jline.solvers.uq.SolverUQ: Returns the number of alternatives in the Prior.
getNumberOfBranches() - Method in class jline.lang.StateDepRouting: Number of branch indices, including the unused complement index 0.
getNumberOfChains() - Method in class jline.lang.Network
getNumberOfClasses() - Method in class jline.lang.layered.LayeredNetwork: Aggregate (sum over layers) number of classes.
getNumberOfClasses() - Method in class jline.lang.Network
getNumberOfClosedClasses() - Method in class jline.lang.Network
getNumberOfComponents() - Method in class jline.lang.processes.GMM
getNumberOfItems() - Method in class jline.lang.ItemSet
getNumberOfItems() - Method in class jline.lang.nodes.Cache: Gets the total number of items that can be requested from this cache.
getNumberOfItems() - Method in class jline.lib.rmf.CacheRMF
getNumberOfJobs() - Method in class jline.lang.ClosedClass: Returns the fixed population of jobs in this closed class.
getNumberOfJobs() - Method in class jline.lang.JobClass: Returns the number of jobs in this class.
getNumberOfJobs() - Method in class jline.lang.Network
getNumberOfLayers() - Method in class jline.lang.layered.LayeredNetwork: Gets the number of layers in the layered network.
getNumberOfLevels() - Method in class jline.lang.StateDepRouting: Number of levels of subnetwork nesting.
getNumberOfLists() - Method in class jline.lib.rmf.CacheRMF
getNumberOfModels() - Method in class jline.lang.layered.LayeredNetwork: Gets the number of models in the layered network ensemble.
getNumberOfModels() - Method in class jline.solvers.EnsembleSolver
getNumberOfModels() - Method in class jline.solvers.env.SolverENV
getNumberOfModels() - Method in class jline.solvers.uq.SolverUQ
getNumberOfModes() - Method in class jline.lang.nodes.Transition
getNumberOfModeServers() - Method in class jline.lang.nodes.Transition
getNumberOfModeServers(Mode) - Method in class jline.lang.nodes.Transition
getNumberOfNodes() - Method in class jline.lang.layered.LayeredNetwork: Aggregate (sum over layers) number of nodes.
getNumberOfNodes() - Method in class jline.lang.Network: Returns the total number of nodes in this network.
getNumberOfOpenClasses() - Method in class jline.lang.Network
getNumberOfPhases() - Method in class jline.lang.processes.BMMAPt
getNumberOfPhases() - Method in class jline.lang.processes.Coxian
getNumberOfPhases() - Method in class jline.lang.processes.DMAP
getNumberOfPhases() - Method in class jline.lang.processes.Exp: Gets the number of phases in this distribution.
getNumberOfPhases() - Method in class jline.lang.processes.HyperExp
getNumberOfPhases() - Method in class jline.lang.processes.MAP
getNumberOfPhases() - Method in class jline.lang.processes.MAPt
getNumberOfPhases() - Method in class jline.lang.processes.Markovian: Gets the number of phases in this Markovian distribution.
getNumberOfPhases() - Method in class jline.lang.processes.ME
getNumberOfPhases() - Method in class jline.lang.processes.MMAPt
getNumberOfPhases() - Method in class jline.lang.processes.MMDP
getNumberOfPhases() - Method in class jline.lang.processes.MMDP2
getNumberOfPhases() - Method in class jline.lang.processes.MMPP2
getNumberOfPhases() - Method in class jline.lang.processes.MPH: Number of transient phases.
getNumberOfPhases() - Method in class jline.lang.processes.MPHt
getNumberOfPhases() - Method in class jline.lang.processes.PH
getNumberOfPhases() - Method in class jline.lang.processes.PHt
getNumberOfPhases() - Method in class jline.lang.processes.RAP
getNumberOfPhases() - Method in class jline.lang.workflow.WorkflowActivity
getNumberOfServers() - Method in class jline.lang.nodes.StatefulNode
getNumberOfServers() - Method in class jline.lang.nodes.Station
getNumberOfStages() - Method in class jline.lang.Environment: Gets the number of stages in this environment.
getNumberOfStatefulNodes() - Method in class jline.lang.layered.LayeredNetwork: Aggregate (sum over layers) number of stateful nodes.
getNumberOfStatefulNodes() - Method in class jline.lang.Network
getNumberOfStations() - Method in class jline.lang.layered.LayeredNetwork: Aggregate (sum over layers) number of stations.
getNumberOfStations() - Method in class jline.lang.Network: Returns the total number of stations in this network.
getNumberOfTypes() - Method in class jline.lang.processes.BMMAPt
getNumberOfTypes() - Method in class jline.lang.processes.MarkedMAP: Number of arrival types (marks) K under the M3A layout.
getNumberOfTypes() - Method in class jline.lang.processes.MMAPt
getNumberOfTypes() - Method in class jline.lang.processes.MPHt
getNumChains() - Method in class jline.solvers.auto.ModelAnalyzer: Get number of chains
getNumClasses() - Method in class jline.lib.m3a.MTrace
getNumClasses() - Method in class jline.solvers.auto.ModelAnalyzer: Get number of classes
getNumClasses() - Method in class jline.util.PrecomputedTableFunction: Gets the number of classes.
getNumCols() - Method in class jline.io.Ret.SampleResult: Number of columns in the event matrix (>1 when event data is available).
getNumCols() - Method in class jline.lang.ClassSwitchMatrix
getNumCols() - Method in class jline.util.matrix.BaseMatrix: Returns the number of columns in the matrix.
getNumCols() - Method in class jline.util.matrix.ComplexMatrix: Returns the number of columns in this complex matrix.
getNumCols() - Method in class jline.util.matrix.DenseMatrix: Returns the number of columns in the matrix.
getNumCols() - Method in class jline.util.matrix.Matrix: Returns the number of columns in this matrix.
getNumCols() - Method in class jline.util.matrix.RowView: Returns the total number of columns in the row (including zeros).
getNumCols() - Method in class jline.util.matrix.SparseMatrix: Returns the number of columns in the matrix.
getNumCols() - Method in class jline.util.matrix.SymMatrix
getNumColsInternal() - Method in class jline.util.matrix.SparseMatrix
getNumCompatibleClasses() - Method in class jline.lang.constant.ServerType: Gets the number of compatible job classes.
getNumElements() - Method in class jline.util.matrix.ComplexMatrix: Returns the total number of elements in this complex matrix.
getNumElements() - Method in class jline.util.matrix.Matrix: Returns total number of elements in the matrix.
getNumElements() - Method in class jline.util.matrix.SymMatrix
getNumNonZeros() - Method in class jline.util.matrix.BaseMatrix: Returns the number of non-zero elements in the matrix.
getNumNonZeros() - Method in class jline.util.matrix.Matrix
getNumNonZeros() - Method in class jline.util.matrix.SparseMatrix: Returns the number of non-zero elements in the matrix.
getNumOfServers() - Method in class jline.lang.constant.ServerType: Gets the number of servers of this type.
getNumParams() - Method in class jline.lang.processes.Distribution: Gets the number of parameters of this distribution, twin of the MATLAB getNumParams(), which reports length(params).
getNumParams() - Method in class jline.lang.processes.Process: Get the number of parameters
getNumParams(int) - Method in class jline.lang.processes.Distribution: Gets the number of parameters for this distribution.
getNumRows() - Method in class jline.io.Ret.SampleResult: Number of sampled events (rows in the event matrix).
getNumRows() - Method in class jline.lang.ClassSwitchMatrix
getNumRows() - Method in class jline.util.matrix.BaseMatrix: Returns the number of rows in the matrix.
getNumRows() - Method in class jline.util.matrix.ColumnView: Returns the total number of rows in the column (including zeros).
getNumRows() - Method in class jline.util.matrix.ComplexMatrix: Returns the number of rows in this complex matrix.
getNumRows() - Method in class jline.util.matrix.DenseMatrix: Returns the number of rows in the matrix.
getNumRows() - Method in class jline.util.matrix.Matrix: Returns the number of rows in this matrix.
getNumRows() - Method in class jline.util.matrix.SparseMatrix: Returns the number of rows in the matrix.
getNumRows() - Method in class jline.util.matrix.SymMatrix
getNumRowsInternal() - Method in class jline.util.matrix.SparseMatrix
getNumSegments() - Method in class jline.lang.processes.BMMAPt
getNumSegments() - Method in class jline.lang.processes.MAPt
getNumSegments() - Method in class jline.lang.processes.MMAPt
getNumSegments() - Method in class jline.lang.processes.MPHt
getNumSegments() - Method in class jline.lang.processes.NHPP: Returns the number of segments in the schedule.
getNumSegments() - Method in class jline.lang.processes.PHt
getNumServerTypes() - Method in class jline.lang.nodes.Queue: Gets the number of server types configured for this queue.
getNumStates() - Method in class jline.lib.m3a.M3aCompressOptions
getNumStates() - Method in class jline.lib.m3a.M3aFitOptions
getNumStations() - Method in class jline.solvers.auto.ModelAnalyzer: Get number of stations (excluding reference stations)
getNumSteps() - Method in class jline.lib.qmam.MAPDcOptions
getNumThreads() - Method in class jline.solvers.EnsembleSolver
getNumThreads() - Method in class jline.solvers.ldes.SolverLDES: Returns the number of threads for parallel execution.
getNumThreads() - Method in class jline.solvers.ssa.SolverSSA
getNumTypes() - Method in class jline.lang.processes.MMAP: Get the number of arrival types (marks) in this MMAP
getNumVariables() - Method in class jline.api.mapqn.Mapqn_lpmodel: Get total number of variables
getNumWindows() - Method in class jline.api.trace.CountStatistics
getObjective() - Method in class jline.api.mam.QPResult
getObjective() - Method in class jline.opt.OptimizationProblem
getObjectiveValue() - Method in class jline.api.mapqn.Mapqn_solution
getObjectiveValue() - Method in class jline.opt.results.OptimizationResult
getObs(LayeredNetworkAvgTable, List<ObsSpec>) - Static method in class jline.api.infer.InferLqn: Extract the observation vector selected by obsSpec from a solved table.
getomega(int) - Static method in class jline.lib.lti.euler
getomega(int) - Static method in class jline.lib.lti.gaverstehfest
getomega(int, ArrayList<Complex>) - Static method in class jline.lib.lti.talbot
getOptimalSolver(Network) - Static method in class jline.api.wf.WorkflowManager
getOptimalSolver(Network, SolverOptions) - Static method in class jline.api.wf.WorkflowManager: Get optimal solver for a network without detailed analysis.
getOptimizationInsights() - Method in class jline.api.wf.Wf_auto_integration
getOptimizationInsights() - Method in class jline.api.wf.WorkflowManager.WorkflowAnalysisResult
getOptimizationRecommendations() - Method in class jline.api.wf.WorkflowManager
getOptimizationRecommendations(Wf_analyzer.WorkflowAnalysis) - Method in class jline.api.wf.Wf_analyzer
getOptimizedWorkflow() - Method in class jline.api.wf.Wf_analyzer.WorkflowAnalysis
getOptions() - Method in class jline.io.tikz.SequenceDiagramExporter: Gets the options used by this exporter.
getOptions() - Method in class jline.io.tikz.TikZExporter: Gets the options used by this exporter.
getOptions() - Method in class jline.solvers.Solver: Returns the current solver options.
getOptions() - Method in class jline.streaming.Collector: Get the streaming options.
getOrbit() - Method in class jline.solvers.NetworkAvgOrbitTable
getOrbitImpatience(JobClass) - Method in class jline.lang.nodes.Station: Gets the orbit impatience distribution for a specific job class.
getOrbitImpatienceLocal(JobClass) - Method in class jline.lang.nodes.Station: Gets the station-specific orbit impatience distribution (without fallback).
getOrbitMaxJobs(JobClass) - Method in class jline.lang.nodes.Station: Orbit capacity of a job class at this station.
getOrder() - Method in class jline.lang.processes.CME: Gets the CME order, i.e.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.BogackiShampine23Integrator: Returns the order of the propagated solution, which sets the step-size control exponent, matching the 1/3 power ode23 uses.
getOrders() - Method in class jline.lib.kpctoolbox.erchmm.ERCHMMFitResult
getOriginal() - Method in class jline.api.trace.Mtrace_bootstrap.BootstrapResults
getOriginalDepartureCount() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Number of leading events of the ORIGINAL event list that are service completions, the rest being intra-PH phase changes.
getOriginalEventIdx() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Source coordinate of each event BEFORE the immediate elimination.
getOriginalModel() - Method in class jline.api.fes.FESDeaggInfo
getOriginalWorkflow() - Method in class jline.api.wf.Wf_analyzer.WorkflowAnalysis
getOutput() - Method in class jline.lang.nodes.Node: Gets the output section that handles job routing from this node.
getOutputPath() - Method in class jline.io.LQN2UML.Options
getOutputStrategies() - Method in class jline.lang.nodes.Node: Returns the list of output strategies configured for this node.
getOutputStrategies() - Method in class jline.lang.sections.OutputSection
getOutputStrategyByClass(JobClass) - Method in class jline.lang.sections.OutputSection
getP() - Method in class jline.api.aoi.AoiParams
getP() - Method in class jline.api.nc.MeGegecnResult: Queue length distribution, p[idx] = Pr{n = K+idx}.
getP() - Method in class jline.api.qsys.RetrialInfo
getP() - Method in class jline.lang.processes.HyperExp: Gets the branch probabilities, one per phase.
getP() - Method in class jline.lib.rmf.CacheRMF
getP_empty_orbit() - Method in class jline.api.qsys.QsysRetrialResult
getP_empty_system() - Method in class jline.api.qsys.QsysRetrialResult
getP_idle() - Method in class jline.api.qsys.QsysRetrialResult
getP2(Mapqn_solution, int, int, int, int, int, int) - Static method in class jline.api.mapqn.Mapqn_bnd_qr_delay: Convenience accessor (extension-function equivalent).
getPaoiA() - Method in class jline.api.aoi.AoiMfqResult
getPaoiG() - Method in class jline.api.aoi.AoiMfqResult
getPaoiH() - Method in class jline.api.aoi.AoiMfqResult
getPaoiMean() - Method in class jline.api.aoi.AoiMfqResult
getPaoiVar() - Method in class jline.api.aoi.AoiMfqResult
getParallelRandom(String, int) - Static method in class jline.util.RandomManager: Creates a MersenneTwister instance for parallel processing with a thread offset.
getParallelRandomAsRandom(String, int) - Static method in class jline.util.RandomManager: Returns a Random adapter wrapping the parallel MersenneTwister for the given solver/thread.
getParallels() - Method in class jline.api.wf.Wf_analyzer.DetectedPatterns
getParallelStats(List<List<Integer>>) - Static method in class jline.api.wf.Wf_parallel_detector
getParam(int) - Method in class jline.lang.processes.Distribution: Gets a parameter by its ID.
getParam(int) - Method in class jline.lang.processes.Process: Get a parameter by id
getParam(String) - Method in class jline.lang.processes.Distribution: Returns the parameter carrying a given name, twin of reading the MATLAB params cell by its paramName field.
getParams() - Method in class jline.lang.processes.Distribution: Returns every parameter of this distribution, in declaration order.
getParams(LayeredNetwork, List<ParamSpec>) - Static method in class jline.api.infer.InferLqn: Read the current values of the parameters named in paramSpec.
getParent() - Method in class jline.lang.layered.Activity
getParent() - Method in class jline.lang.layered.Entry
getParent() - Method in class jline.lang.layered.Task
getParentQueue() - Method in class jline.lang.constant.ServerType: Gets the parent queue this server type belongs to.
getPassive() - Method in class jline.lang.GlobalSync
getPatience() - Method in class jline.lang.JobClass: Gets the global patience distribution for this job class.
getPatience(JobClass) - Method in class jline.lang.nodes.Station: Gets the effective patience distribution for a specific job class.
getPatienceLocal(JobClass) - Method in class jline.lang.nodes.Station: Gets the station-specific patience distribution (without fallback).
getPatternAnalysis() - Method in class jline.api.wf.WorkflowManager
getPatternAnalysis() - Method in class jline.api.wf.WorkflowManager.WorkflowAnalysisResult
getPB() - Method in class jline.api.nc.MeGegecnResult: Probability that an arrival of the queue's own stream finds it full.
getPBa() - Method in class jline.api.nc.MeOqnBlkResult: Probability that an arrival finds the station full.
getPeakAoI() - Method in class jline.api.aoi.AoiLstResult
getPeakAoI() - Method in class jline.api.aoi.AoiResult
getPercentileResults() - Method in class jline.solvers.mam.MAMFJResult
getPercTable(double) - Method in class jline.solvers.ba.SolverBA: Returns the response-time and queue-length quantiles at violation probability eps, in the layout of getAvgTable.
getPerctRespT() - Method in class jline.solvers.mam.SolverMAM: Get response time percentiles using default values [50, 90, 95, 99]
getPerctRespT(double[]) - Method in class jline.solvers.auto.SolverAUTO: Get response time percentiles
getPerctRespT(double[]) - Method in class jline.solvers.mam.SolverMAM: Get response time percentiles from Fork-Join analysis
getPerctRespT(double[], String) - Method in class jline.solvers.NetworkSolver
getPerformanceMetrics() - Method in class jline.api.wf.WorkflowManager.WorkflowAnalysisResult
getPeriod() - Method in class jline.lang.processes.BMMAPt: Horizon length, which is the period when cyclic.
getPeriod() - Method in class jline.lang.processes.MAPt: Horizon length, which is the period when cyclic.
getPeriod() - Method in class jline.lang.processes.MMAPt: Horizon length, which is the period when cyclic.
getPeriod() - Method in class jline.lang.processes.MPHt: Horizon length, which is the period when cyclic.
getPeriod() - Method in class jline.lang.processes.NHPP: Returns the horizon length, which is the period when cyclic.
getPeriod() - Method in class jline.lang.processes.PHt: Horizon length, which is the period when cyclic.
getPermStep() - Method in class jline.lib.perm.HuberLawSampler
getPH() - Method in class jline.lang.processes.Immediate
getPhase() - Method in class jline.lang.layered.Activity: Get the phase number for this activity.
getPhase1ServiceTime() - Method in class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
getPhase1Utilization() - Method in class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
getPhase2ServiceTime() - Method in class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
getPhase2Utilization() - Method in class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
getPhaseCount() - Method in class jline.api.qsys.QsysMapPhcResult
getPhi() - Method in class jline.lang.processes.Coxian
getPhi() - Method in class jline.lang.processes.Det: Gets the phase parameter.
getPhi() - Method in class jline.lang.processes.Disabled
getPhi() - Method in class jline.lang.processes.Immediate
getPhi() - Method in class jline.lang.processes.Markovian: Gets the exit probability vector (phi).
getPHRepresentation() - Method in class jline.lang.workflow.WorkflowActivity
getPi() - Method in class jline.api.mam.LdqbdResult
getPi() - Method in class jline.api.mc.Ctmc_solve_reducible_blkdecompResult
getPi() - Method in class jline.api.qsys.QsysRetrialResult
getPi() - Method in class jline.lib.smc.MG1_ETAQA.ETAQAResult
getPi() - Method in class jline.solvers.ag.handlers.INAPResult
getPi() - Method in class jline.solvers.ctmc.ResultCTMCMargAggr: Get the steady-state distribution
getPi() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
getPi0() - Method in class jline.api.cache.CacheMissFpiResult
getPi0() - Method in class jline.api.mam.QbdRapResult: Level-0 vector pi_0, the boundary vector of Theorem 7.
getPi0() - Method in class jline.api.mc.Ctmc_solve_reducible_blkdecompResult
getPi0() - Method in class jline.io.Ret.cacheMissSpm
getPi0() - Method in class jline.lib.fjcodes.PiResult
getPi0() - Method in class jline.solvers.ctmc.ResultCTMC
getPiCells() - Method in class jline.api.mam.LdqbdResult: Per-level stationary vectors, still resolved by phase.
getPis() - Method in class jline.api.mc.Ctmc_solve_reducible_blkdecompResult
getPnir() - Method in class jline.solvers.ctmc.ResultCTMCMargAggr: Get the marginal probabilities at stations
getPnir() - Method in class jline.solvers.ctmc.SolverCTMC.SolverCtmcJointResult
getPoints() - Method in class jline.opt.pareto.ParetoSweep
getPollingK() - Method in class jline.lang.sections.PollingServer: Gets the K value for K-LIMITED polling.
getPollingType() - Method in class jline.lang.sections.PollingServer: Gets the current polling type.
getPopularity() - Method in class jline.lang.layered.ItemEntry
getPopulation() - Method in class jline.lang.ClosedClass: Returns the population size for this closed class.
getPopulationRange() - Method in class jline.gen.LayeredNetworkGenerator
getPort() - Method in class jline.streaming.MockOtlpReceiver: Gets the port this receiver is listening on.
getPort() - Method in class jline.streaming.StreamingOptions: Get the port from the endpoint.
getPos() - Method in class jline.opt.solver.de.MT19937: Current position into the 624-word key (numpy get_state pos).
getPosition(Node) - Method in class jline.io.tikz.TikZLayoutEngine: Gets the computed position for a node.
getPostActs() - Method in class jline.lang.layered.ActivityPrecedence: Returns the list of following activity names.
getPosteriorDist(String, Station, JobClass) - Method in class jline.solvers.uq.SolverUQ: Returns the posterior distribution for a specific metric at a station/class.
getPosteriorTable() - Method in class jline.solvers.uq.SolverUQ: Returns a table with per-alternative results and probabilities.
getPostParams() - Method in class jline.lang.layered.ActivityPrecedence: Returns the parameters for the following activities.
getPostType() - Method in class jline.lang.layered.ActivityPrecedence: Returns the type of the precedence relationship after the activity.
getPqueue() - Method in class jline.api.mam.QbdMapMap1Result
getPqueue() - Method in class jline.api.mam.QbdRapRap1Result
getPqueue() - Method in class jline.api.mam.QbdRapResult: (numLevels+1) x m matrix whose n-th row is the level vector pi_n.
getPreActs() - Method in class jline.lang.layered.ActivityPrecedence: Returns the list of preceding activity names.
getPreamble() - Method in class jline.io.tikz.TikZNodeRenderer: Returns the TikZ preamble with style definitions.
getPrecedenceId(String) - Static method in class jline.lang.layered.ActivityPrecedence: Retrieves the precedence ID based on the precedence type string.
getPrecedences() - Method in class jline.lang.layered.Task
getPrecedences() - Method in class jline.lang.workflow.Workflow
getPrecision() - Method in class jline.lang.Metric
getPrecision() - Method in class jline.lib.smc.MG1PiOptions
getPreemptFilt() - Method in class jline.solvers.ctmc.ResultCTMC
getPreemption() - Method in class jline.api.aoi.AoiMfqResult
getPreemptRate() - Method in class jline.solvers.ctmc.SolverCTMC: (stations x classes) rate at which a class-r job HOLDING A SERVER at station i is pushed back into the buffer.
getPreemptRate() - Method in class jline.solvers.ssa.SolverSSA: (stations x classes) rate at which a class-r job HOLDING A SERVER at station i is pushed back into the buffer.
getPreParams() - Method in class jline.lang.layered.ActivityPrecedence: Returns the parameters for the preceding activities.
getPreType() - Method in class jline.lang.layered.ActivityPrecedence: Returns the type of the precedence relationship before the activity.
getPriority() - Method in class jline.lang.JobClass: Returns the priority level of this job class.
getPriority() - Method in class jline.lang.layered.Task
getProb() - Method in class jline.lang.Event: Gets the fixed probability value for this event.
getProb() - Method in class jline.lang.ModeEvent
getProb() - Method in class jline.solvers.NetworkAvgItemTable
getProb(int) - Method in class jline.solvers.NetworkSolver: Returns marginal state probabilities for a specific node (all states).
getProb(int) - Method in class jline.solvers.wrappers.lqns.SolverLQNS
getProb(int, Matrix) - Method in class jline.solvers.ctmc.SolverCTMC
getProb(int, Matrix) - Method in class jline.solvers.ldes.SolverLDES: Estimates state probability using node index.
getProb(int, Matrix) - Method in class jline.solvers.mam.SolverMAM: Joint (level, phase) state probability, port of @SolverMAM/getProb.m.
getProb(int, Matrix) - Method in class jline.solvers.NetworkSolver: Returns marginal state probabilities for a specific node and state.
getProb(int, Matrix) - Method in class jline.solvers.ssa.SolverSSA: Get marginal probability for a specific node state (by node index).
getProb(int, Matrix) - Method in class jline.solvers.wrappers.lqns.SolverLQNS
getProb(Node) - Method in class jline.solvers.ssa.SolverSSA: Get probability for a specific node state using the node's default state
getProb(Node, Matrix) - Method in class jline.solvers.auto.SolverAUTO
getProb(Node, Matrix) - Method in class jline.solvers.nc.SolverNC
getProb(Node, Matrix) - Method in class jline.solvers.ssa.SolverSSA: Get probability for a specific node state
getProb(StatefulNode) - Method in class jline.solvers.ctmc.SolverCTMC
getProb(StatefulNode) - Method in class jline.solvers.ldes.SolverLDES: Estimates state probability using current network state.
getProb(StatefulNode, Matrix) - Method in class jline.solvers.ctmc.SolverCTMC
getProb(StatefulNode, Matrix) - Method in class jline.solvers.ldes.SolverLDES: Estimates the steady-state probability of a specific state at a node via LDES simulation.
getProb(Matrix) - Method in class jline.solvers.ctmc.SolverCTMC: Stationary probability of a single state of the user-supplied chain, identified by its row in the chain state space or, when the chain carries none, by its 1-based state index.
getProb(Pair<Map<Node, Matrix>, Map<Node, Matrix>>) - Method in class jline.lang.Event: Computes the probability of this event using the probability function and current system state.
getProb_wait() - Method in class jline.lib.fjcodes.ReturnWaitResult
getProbabilities() - Method in class jline.api.wf.Wf_branch_detector.BranchPattern
getProbabilities() - Method in class jline.lang.processes.Prior: Returns the array of all probabilities.
getProbability() - Method in class jline.lang.constant.BalkingThreshold: Get the balking probability for this threshold.
getProbability() - Method in class jline.lang.OutputStrategy
getProbability(int) - Method in class jline.lang.processes.Prior: Returns the probability of the alternative at the specified index.
getProbability(int) - Method in class jline.solvers.mva.ProbabilityResult: Get probability at a specific state index.
getProbabilityMatrix() - Method in class jline.io.Ret.ProbabilityResult: Gets the probability matrix.
getProbabilityVector() - Method in class jline.solvers.mva.ProbabilityResult: Get the probability distribution vector.
getProbAggr(int) - Method in class jline.solvers.fluid.SolverFluid
getProbAggr(int) - Method in class jline.solvers.mva.SolverMVA: Get marginal state probabilities for a specific station
getProbAggr(int) - Method in class jline.solvers.NetworkSolver: Probability of a SPECIFIC per-class job distribution at a station (current state).
getProbAggr(int) - Method in class jline.solvers.wrappers.lqns.SolverLQNS
getProbAggr(int, Matrix) - Method in class jline.solvers.ctmc.SolverCTMC
getProbAggr(int, Matrix) - Method in class jline.solvers.fluid.SolverFluid: Probability of a given per-class job distribution at a station.
getProbAggr(int, Matrix) - Method in class jline.solvers.ldes.SolverLDES: Estimates aggregated state probability using node index.
getProbAggr(int, Matrix) - Method in class jline.solvers.NetworkSolver: Probability of a SPECIFIC per-class job distribution at a station.
getProbAggr(int, Matrix) - Method in class jline.solvers.ssa.SolverSSA: Aggregated probability for a node state, addressed by NODE INDEX.
getProbAggr(int, Matrix) - Method in class jline.solvers.wrappers.lqns.SolverLQNS
getProbAggr(Node) - Method in class jline.solvers.ctmc.SolverCTMC
getProbAggr(Node) - Method in class jline.solvers.nc.SolverNC: Get aggregated probability for a specific node using current state
getProbAggr(Node) - Method in class jline.solvers.ssa.SolverSSA: Get aggregated probability for a specific node state using the node's default state
getProbAggr(Node) - Method in class jline.solvers.wrappers.jmt.SolverJMT
getProbAggr(Node, Matrix) - Method in class jline.solvers.auto.SolverAUTO
getProbAggr(Node, Matrix) - Method in class jline.solvers.ctmc.SolverCTMC
getProbAggr(Node, Matrix) - Method in class jline.solvers.nc.SolverNC: Get aggregated probability for a specific node and state
getProbAggr(Node, Matrix) - Method in class jline.solvers.ssa.SolverSSA: Get aggregated probability for a specific node state
getProbAggr(Node, Matrix) - Method in class jline.solvers.wrappers.jmt.SolverJMT
getProbAggr(StatefulNode) - Method in class jline.solvers.ctmc.SolverCTMC
getProbAggr(StatefulNode) - Method in class jline.solvers.ldes.SolverLDES: Estimates aggregated state probability using current network state.
getProbAggr(StatefulNode, Matrix) - Method in class jline.solvers.ctmc.SolverCTMC
getProbAggr(StatefulNode, Matrix) - Method in class jline.solvers.ldes.SolverLDES: Estimates the steady-state probability of a specific aggregated (per-class) state at a node.
getProbFun() - Method in class jline.lang.Event: Gets the probability function used to dynamically compute event probability.
getProblem() - Method in class jline.opt.decomposition.DecompositionWorkflow
getProbMarg(int, int) - Method in class jline.solvers.mam.SolverMAM: Get marginal queue-length probability distribution for a job class (all states).
getProbMarg(int, int) - Method in class jline.solvers.mva.SolverMVA: Get marginalized state probabilities for a specific station and job class
getProbMarg(int, int) - Method in class jline.solvers.NetworkSolver: Probability distribution for queue length of a SINGLE class at a station (all states).
getProbMarg(int, int, Matrix) - Method in class jline.solvers.mam.SolverMAM
getProbMarg(int, int, Matrix) - Method in class jline.solvers.mva.SolverMVA: Get marginalized state probabilities for a specific station and job class with state filter
getProbMarg(int, int, Matrix) - Method in class jline.solvers.nc.SolverNC: Marginal queue-length distribution at a station, routing the CLI's (station, class) call to the exact procomom/enumeration path in SolverNC.getProbMarg(Node).
getProbMarg(int, int, Matrix) - Method in class jline.solvers.NetworkSolver: Probability distribution for queue length of a SINGLE class at a station.
getProbMarg(Node) - Method in class jline.solvers.nc.SolverNC
getProbMarg(Node, int, Matrix) - Method in class jline.solvers.auto.SolverAUTO: Get marginalized state probability
getProbNormConstAggr() - Method in class jline.solvers.auto.SolverAUTO
getProbNormConstAggr() - Method in class jline.solvers.mva.SolverMVA: Returns the logarithm of the normalizing constant for the aggregate state probabilities
getProbNormConstAggr() - Method in class jline.solvers.nc.SolverNC: Get the log normalization constant for aggregated probabilities
getProbNormConstAggr() - Method in class jline.solvers.NetworkSolver: Returns the logarithm of the normalizing constant of state probabilities.
getProbNormConstAggr() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getProbNormConstAggr() - Method in class jline.solvers.wrappers.lqns.SolverLQNS
getProbState(int) - Method in class jline.lang.processes.MarkovProcess: Get probability of a specific state using steady-state analysis
getProbState(Matrix) - Method in class jline.lang.processes.MarkovProcess: Get probability of a specific state using Cramer's rule
getProbSys() - Method in class jline.solvers.auto.SolverAUTO
getProbSys() - Method in class jline.solvers.ctmc.SolverCTMC
getProbSys() - Method in class jline.solvers.ldes.SolverLDES: Estimates the joint steady-state probability of the entire system state via LDES simulation.
getProbSys() - Method in class jline.solvers.nc.SolverNC: Get system-wide joint probability
getProbSys() - Method in class jline.solvers.NetworkSolver: Returns joint state probabilities for the entire system.
getProbSys() - Method in class jline.solvers.ssa.SolverSSA: Get system-wide probability for the current system state
getProbSys() - Method in class jline.solvers.wrappers.lqns.SolverLQNS
getProbSys(Matrix) - Method in class jline.solvers.ctmc.SolverCTMC: SolverCTMC.getProbSysAggr(Matrix) for the joint (non-aggregated) getter.
getProbSysAggr() - Method in class jline.solvers.auto.SolverAUTO
getProbSysAggr() - Method in class jline.solvers.ctmc.SolverCTMC
getProbSysAggr() - Method in class jline.solvers.ldes.SolverLDES: Estimates the joint steady-state probability of the entire aggregated system state.
getProbSysAggr() - Method in class jline.solvers.mva.SolverMVA: Get joint system state probabilities
getProbSysAggr() - Method in class jline.solvers.nc.SolverNC: Get aggregated system-wide joint probability
getProbSysAggr() - Method in class jline.solvers.NetworkSolver: Returns aggregated joint state probabilities for the entire system.
getProbSysAggr() - Method in class jline.solvers.ssa.SolverSSA: Get aggregated system-wide probability for the current system state
getProbSysAggr() - Method in class jline.solvers.wrappers.jmt.SolverJMT: Gets probability of the current system state in aggregated form.
getProbSysAggr() - Method in class jline.solvers.wrappers.lqns.SolverLQNS
getProbSysAggr(Matrix) - Method in class jline.solvers.ctmc.SolverCTMC: getProbSysAggr for a caller-named system state, given as one row of per-class job counts per STATION, station-major.
getProbSysMarg(Matrix) - Method in class jline.solvers.nc.SolverNC: Joint probability that station i holds nvec(i) jobs IN TOTAL, all classes summed out.
getProbSysMarg(Matrix) - Method in class jline.solvers.NetworkSolver: Returns the joint probability of the per-station TOTAL queue lengths, all classes summed out.
getProbSysMarg(Matrix, String) - Method in class jline.solvers.nc.SolverNC: Joint probability of the per-station total queue lengths, evaluated with a chosen permanent engine.
getProbSysMarg(Matrix, String) - Method in class jline.solvers.NetworkSolver: Returns the joint probability of the per-station total queue lengths, evaluated with a chosen permanent engine.
getProbWait() - Method in class jline.api.qsys.QsysMapPhcResult
getProcess() - Method in class jline.lang.processes.Bernoulli
getProcess() - Method in class jline.lang.processes.Binomial
getProcess() - Method in class jline.lang.processes.BMMAPt
getProcess() - Method in class jline.lang.processes.ContinuousDistribution: Gets the process representation with actual distribution parameters.
getProcess() - Method in class jline.lang.processes.Det: Gets the matrix representation of this deterministic process (for PH compatibility).
getProcess() - Method in class jline.lang.processes.DiscreteUniform
getProcess() - Method in class jline.lang.processes.DMAP
getProcess() - Method in class jline.lang.processes.Expolynomial: Returns the numeric part of the process representation, {eft, lft}, as two singleton matrices.
getProcess() - Method in class jline.lang.processes.Gamma
getProcess() - Method in class jline.lang.processes.Geometric
getProcess() - Method in class jline.lang.processes.GMM
getProcess() - Method in class jline.lang.processes.Lognormal
getProcess() - Method in class jline.lang.processes.MAP
getProcess() - Method in class jline.lang.processes.MAPt
getProcess() - Method in class jline.lang.processes.MarkedMMPP: Returns the process representation as a MatrixCell.
getProcess() - Method in class jline.lang.processes.Markovian: Gets the matrix representation of this Markovian process.
getProcess() - Method in class jline.lang.processes.ME
getProcess() - Method in class jline.lang.processes.MMAPt
getProcess() - Method in class jline.lang.processes.MMDP
getProcess() - Method in class jline.lang.processes.MPHt: The MMAPt-shaped cell of the lowering, which is what reaches sn.proc.
getProcess() - Method in class jline.lang.processes.MultivariateNormal: Gets the process representation with actual distribution parameters.
getProcess() - Method in class jline.lang.processes.NHPP
getProcess() - Method in class jline.lang.processes.Normal
getProcess() - Method in class jline.lang.processes.Pareto
getProcess() - Method in class jline.lang.processes.PH
getProcess() - Method in class jline.lang.processes.PHt
getProcess() - Method in class jline.lang.processes.Poisson
getProcess() - Method in class jline.lang.processes.RAP
getProcess() - Method in class jline.lang.processes.Uniform
getProcess() - Method in class jline.lang.processes.Weibull
getProcess() - Method in class jline.lang.processes.Zipf
getProcessor() - Method in class jline.lang.layered.Task: Returns the processor (host) that this task runs on.
getProcessorBounds(Host) - Method in class jline.io.tikz.SequenceDiagramLayoutEngine
getProcessorTaskGroups() - Method in class jline.io.tikz.SequenceDiagramLayoutEngine
getProcessType(Distribution) - Method in class jline.lang.Network
getProcInfProbability() - Method in class jline.gen.LayeredNetworkGenerator
getProcMultiRange() - Method in class jline.gen.LayeredNetworkGenerator
getProcUtilization() - Method in class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
getProcWaiting() - Method in class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
getProductFormChainParameters() - Method in class jline.lang.Network
getProductFormParameters() - Method in class jline.lang.Network
getProjectors() - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
getQ() - Method in class jline.api.nc.MeOqnBlkResult: Mean number of jobs at each station, the jobs held blocked included.
getQ() - Method in class jline.api.pfqn.lcfs.LcfsqnMvaResult
getQ() - Method in class jline.solvers.ag.handlers.INAPResult
getQ() - Method in class jline.solvers.ctmc.ResultCTMC
getQIndices() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Precomputed per-(station,class) starting state index of the closing method.
getQLen() - Method in class jline.solvers.LayeredNetworkAvgTable
getQLen() - Method in class jline.solvers.NetworkAvgChainTable
getQLen() - Method in class jline.solvers.NetworkAvgNodeChainTable
getQLen() - Method in class jline.solvers.NetworkAvgNodeTable
getQLen() - Method in class jline.solvers.NetworkAvgOrbitTable
getQLen() - Method in class jline.solvers.NetworkAvgTable: Returns the queue length values from the table.
getQLen() - Method in class jline.solvers.NetworkMomentChainTable
getQLen() - Method in class jline.solvers.NetworkMomentStationTable
getQLen() - Method in class jline.solvers.NetworkMomentTable
getQLen(Node, JobClass) - Method in class jline.inference.lang.ParamEstimator
getQLen(Node, JobClass, ConditionEvent) - Method in class jline.inference.lang.ParamEstimator
getQLenM3() - Method in class jline.solvers.NetworkMomentChainTable
getQLenM3() - Method in class jline.solvers.NetworkMomentStationTable
getQLenPerc() - Method in class jline.solvers.NetworkPercTable
getQLenSCV() - Method in class jline.solvers.NetworkMomentChainTable
getQLenSCV() - Method in class jline.solvers.NetworkMomentStationTable
getQLenSCV() - Method in class jline.solvers.NetworkMomentTable
getQLenSkew() - Method in class jline.solvers.NetworkMomentChainTable
getQLenSkew() - Method in class jline.solvers.NetworkMomentStationTable
getQLenSkew() - Method in class jline.solvers.NetworkMomentTable
getQLenVar() - Method in class jline.solvers.NetworkMomentChainTable
getQLenVar() - Method in class jline.solvers.NetworkMomentStationTable
getQLenVar() - Method in class jline.solvers.NetworkMomentTable
getQlower() - Method in class jline.solvers.NetworkBoundsTable: Returns the queue-length lower bounds.
getQlPerType() - Method in class jline.lib.qmam.MMAPKPHK1Result
getQlTotal() - Method in class jline.lib.qmam.MMAPKPHK1Result
getQN() - Method in class jline.api.mam.QbdMapMap1Result
getQN() - Method in class jline.api.mam.QbdRapRap1Result
getQN() - Method in class jline.api.mam.QbdRapResult: Mean queue length, computed exactly as pi0*R*inv(I-R)^2*e.
getQN() - Method in class jline.solvers.mam.handlers.MetricsResult
getQN() - Method in class jline.solvers.mam.MAMFJResult
getQN() - Method in class jline.solvers.ssa.handlers.SolverSSAResultNRM
getQt() - Method in class jline.solvers.mam.handlers.TransientResult
getQuantum() - Method in class jline.lang.layered.Host
getQueueIdx() - Method in class jline.api.aoi.AoiValidationResult
getQueueIndices() - Method in class jline.api.fj.FJInfo
getQueueLength() - Method in class jline.lib.qmam.DTQueueResult
getQueueLength() - Method in class jline.lib.qmam.MAPDcResult
getQueueLength() - Method in class jline.lib.qmam.MAPMAP1Result
getQueueLength() - Method in class jline.lib.qmam.MAPMcResult
getQueueLength() - Method in class jline.lib.qmam.PHPH1Result
getQueueLength(int, int) - Method in class jline.api.mapqn.Mapqn_solution: Get queue length for queue i, phase k (1-based indices).
getQueueLength(String) - Method in class jline.opt.results.EvaluationResult
getQueueLength(String, String) - Method in class jline.opt.results.EvaluationResult
getQueueLengthDist() - Method in class jline.api.qsys.QsysMapDcResult
getQueueLengthDist() - Method in class jline.api.qsys.QsysMapPhcResult
getQueueLengthDist() - Method in class jline.api.qsys.QsysMapPhResult
getQueueLengthMoments() - Method in class jline.api.qsys.QsysMapPhResult
getQueueLengthMVA(int, int) - Method in class jline.api.mapqn.Mapqn_solution
getQueueLengthMVA(Mapqn_solution, int, int) - Static method in class jline.api.mapqn.Mapqn_bnd_lr_mva
getQueueStation() - Method in class jline.api.aoi.AoiValidationResult
getQuorumCount(Matrix, int) - Static method in class jline.lang.layered.ActivityPrecedence: Returns the effective quorum count of an AND-join, i.e.
getQupper() - Method in class jline.solvers.NetworkBoundsTable: Returns the queue-length upper bounds.
getR() - Method in class jline.api.aoi.AoiParams
getR() - Method in class jline.api.mam.LdqbdResult
getR() - Method in class jline.api.mam.QbdMapMap1Result
getR() - Method in class jline.api.mam.QbdRapRap1Result
getR() - Method in class jline.api.mam.QbdRapResult: Rate matrix R = A0*inv(-U).
getR() - Method in class jline.api.qsys.RetrialInfo
getR0() - Method in class jline.lib.fjcodes.SRKResult
getRate() - Method in class jline.lang.constant.ServerType: Per-server rate of this pool; read on a layered server.
getRate() - Method in class jline.lang.processes.BMMAPt
getRate() - Method in class jline.lang.processes.Coxian
getRate() - Method in class jline.lang.processes.Det: Gets the rate of this deterministic distribution.
getRate() - Method in class jline.lang.processes.Disabled
getRate() - Method in class jline.lang.processes.DiscreteUniform
getRate() - Method in class jline.lang.processes.Distribution: Gets the rate of this distribution (inverse of mean).
getRate() - Method in class jline.lang.processes.DMAP
getRate() - Method in class jline.lang.processes.Erlang: Gets the rate of this Erlang distribution.
getRate() - Method in class jline.lang.processes.Exp: Gets the rate parameter of this exponential distribution.
getRate() - Method in class jline.lang.processes.Gamma
getRate() - Method in class jline.lang.processes.Geometric
getRate() - Method in class jline.lang.processes.HyperExp
getRate() - Method in class jline.lang.processes.Immediate
getRate() - Method in class jline.lang.processes.Lognormal
getRate() - Method in class jline.lang.processes.MAP
getRate() - Method in class jline.lang.processes.MAPt
getRate() - Method in class jline.lang.processes.MarkedMMPP
getRate() - Method in class jline.lang.processes.Markovian
getRate() - Method in class jline.lang.processes.MMAPt
getRate() - Method in class jline.lang.processes.MMDP
getRate() - Method in class jline.lang.processes.MMPP2
getRate() - Method in class jline.lang.processes.MPHt
getRate() - Method in class jline.lang.processes.Pareto
getRate() - Method in class jline.lang.processes.PH
getRate() - Method in class jline.lang.processes.PHt
getRate() - Method in class jline.lang.processes.Replayer
getRate() - Method in class jline.lang.processes.Uniform
getRate() - Method in class jline.lang.processes.Weibull
getRateAt(double) - Method in class jline.lang.processes.MAPt: Arrival rate of the MAP in force at t; zero past a non-cyclic horizon.
getRateAt(double) - Method in class jline.lang.processes.NHPP: The rate in force at wall-clock time t; zero past a non-cyclic horizon.
getRateAt(double) - Method in class jline.lang.processes.PHt: Completion rate of the phase-type in force at t; zero past a non-cyclic horizon.
getRateBase() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Precomputed per-event constant rate factor of the closing method.
getRateFactors() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Shared per-coordinate service share evaluator of the closing method.
getRates() - Method in class jline.lang.processes.NHPP: Returns a copy of the per-segment rates, length n.
getRates() - Method in class jline.lang.processes.NHPP.RateSchedule
getRateSchedule() - Method in class jline.lang.processes.MAPt: The parameterisation of the process; the scalar summaries are not.
getRateSchedule() - Method in class jline.lang.processes.NHPP: Returns the rate schedule.
getRateSchedule() - Method in class jline.lang.processes.PHt: The parameterisation of the process; the scalar summaries are not.
getRatio() - Method in class jline.api.dqsys.GeoGeo1Result: Geometric decay ratio of the queue-length tail, a(1-s)/(s(1-a)).
getRawAvgTables() - Method in class jline.solvers.wrappers.lqns.SolverLQNS: Get raw average tables with detailed metrics for nodes and calls.
getReason() - Method in class jline.solvers.auto.SolverCandidate
getReasoning() - Method in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
getReceivedMetricNames() - Method in class jline.streaming.MockOtlpReceiver: Gets all metric names received.
getReceivedRequests() - Method in class jline.streaming.MockOtlpReceiver: Gets all received export requests.
getRecommendedSolver() - Method in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
getReducibilityInfo() - Method in class jline.lang.Network: The reducibility structure plus one suggested repair per absorbing station.
getReducibilityInfo(Network) - Static method in class jline.lang.RoutingErgodicity: The reducibility structure plus a suggested repair per absorbing station.
getReferenceClasses() - Method in class jline.lang.Network
getReferenceStation() - Method in class jline.lang.ClosedClass: Returns the reference station for this closed class.
getReferenceStation() - Method in class jline.lang.JobClass: Returns the reference station for this job class.
getReferenceStations() - Method in class jline.lang.Network
getRegions() - Method in class jline.lang.Network
getRelerr() - Method in class jline.lib.ode.RKF45Result
getReliabilityTable() - Method in class jline.lang.Environment: Computes system-wide reliability metrics (MTTF, MTTR, MTBF, Availability).
getRelT() - Method in class jline.lang.Environment: Short alias for getReliabilityTable.
getRelTable() - Method in class jline.lang.Environment: Short alias for getReliabilityTable.
getRemovalDistribution() - Method in class jline.lang.ClosedSignal: Gets the removal distribution for this negative signal.
getRemovalDistribution() - Method in class jline.lang.OpenSignal: Gets the removal distribution for this negative signal.
getRemovalDistribution() - Method in class jline.lang.Signal: Gets the removal distribution for this negative signal.
getRemovalPolicy() - Method in class jline.lang.ClosedSignal: Gets the removal policy for this negative signal.
getRemovalPolicy() - Method in class jline.lang.OpenSignal: Gets the removal policy for this negative signal.
getRemovalPolicy() - Method in class jline.lang.Signal: Gets the removal policy for this negative signal.
getRenewalProcess() - Method in class jline.lang.processes.MAP
getReplacementStrategy() - Method in class jline.lang.nodes.Cache: Gets the replacement strategy used when the cache is full.
getReplacestrategy() - Method in class jline.lang.layered.CacheTask
getReplication() - Method in class jline.lang.layered.Host
getReplication() - Method in class jline.lang.layered.Task
getReplyActivity() - Method in class jline.lang.layered.Entry
getReplySignalClassIndex() - Method in class jline.lang.JobClass: Gets the index of the reply signal class.
getRepresentation() - Method in class jline.lang.processes.Det: Gets the process representation with actual distribution parameters.
getRequestCount() - Method in class jline.streaming.MockOtlpReceiver: Gets the total number of export requests received.
getRequiredMetrics(String) - Static method in class jline.inference.lang.ParamEstimator
getResidT() - Method in class jline.lang.nodes.Cache: Gets the actual expected latency of an item request for each job class.
getResidT() - Method in class jline.solvers.LayeredNetworkAvgTable
getResidT() - Method in class jline.solvers.NetworkAvgCacheTable
getResidT() - Method in class jline.solvers.NetworkAvgChainTable
getResidT() - Method in class jline.solvers.NetworkAvgNodeChainTable
getResidT() - Method in class jline.solvers.NetworkAvgNodeTable
getResidT() - Method in class jline.solvers.NetworkAvgTable: Returns the residence time values from the table.
getResponseTime(String) - Method in class jline.opt.results.EvaluationResult: Aggregate (mean) response time across classes at a station.
getResponseTime(String, String) - Method in class jline.opt.results.EvaluationResult
getRespT() - Method in class jline.solvers.LayeredNetworkAvgTable
getRespT() - Method in class jline.solvers.NetworkAvgChainTable
getRespT() - Method in class jline.solvers.NetworkAvgNodeChainTable
getRespT() - Method in class jline.solvers.NetworkAvgNodeTable
getRespT() - Method in class jline.solvers.NetworkAvgTable: Returns the response time values from the table.
getRespT() - Method in class jline.solvers.NetworkMomentTable
getRespT(Node, JobClass) - Method in class jline.inference.lang.ParamEstimator
getRespTPerc() - Method in class jline.solvers.NetworkPercTable
getRespTSCV() - Method in class jline.solvers.NetworkMomentTable
getRespTSkew() - Method in class jline.solvers.NetworkMomentTable
getRespTVar() - Method in class jline.solvers.NetworkMomentTable
getResult(ArrayList<Apcomplex>, ArrayList<Apcomplex>) - Static method in class jline.lib.lti.abatewhitt
getResults() - Method in class jline.solvers.Solver: Returns the results from the most recent solver execution.
getResults() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getResults() - Method in class jline.unified.UnifiedTestRunner
getResultsJMVA() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getResultsJSIM() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getRetrialDelayDistribution() - Method in class jline.lang.JobClass: Gets the global retrial delay distribution for this job class.
getRetrialDelayDistribution(JobClass) - Method in class jline.lang.nodes.Station: Gets the effective retrial delay distribution for a specific job class.
getRetrialDelayDistributionLocal(JobClass) - Method in class jline.lang.nodes.Station: Gets the station-specific retrial delay distribution (without fallback).
getRetrialPolicy(JobClass) - Method in class jline.lang.nodes.Station: Retrial policy of the orbit of a job class at this station.
getRetrievalClasses() - Method in class jline.lang.nodes.Cache: For an incoming job of class r, RETRIEVALCLASSES[i, r] is the new class of the job after a retrieval begins
getRetrievalClassIndices() - Method in class jline.lang.nodes.Cache: Gets the set of indices of job classes that have completed retrieval
getRetrievalRoutingEntries() - Method in class jline.lang.nodes.Cache
getRetrievalSystemCapacity() - Method in class jline.lang.nodes.Cache: Gets the retrieval system capacity of the cache.
getRetrievalSystemQueueIndices() - Method in class jline.lang.nodes.Cache: Get the map of arrival class to node indices of the queues that comprise the retrieval system
getRetrievalSystemQueueIndices(int) - Method in class jline.lang.nodes.Cache: Get the node indices of the queues that comprise the retrieval system for a specific job class
getReward() - Method in class jline.solvers.ctmc.SolverCTMC: Get reward value function and state space for all rewards.
getReward(String) - Method in class jline.lang.Network: Get a specific reward function by name.
getReward(String) - Method in class jline.solvers.ctmc.SolverCTMC: Get reward value function and state space, with optional filtering by reward name.
getRewardNames() - Method in class jline.solvers.ctmc.analyzers.RewardResult
getRewardNames() - Method in class jline.solvers.ctmc.SolverCTMC: Get the list of defined reward names.
getRewardNames() - Method in class jline.solvers.ldes.SolverLDES: Names of the reward functions defined on the model.
getRewardResult() - Method in class jline.solvers.ctmc.SolverCTMC: Get reward computation results via value iteration.
getRewards() - Method in class jline.lang.Network: Get all defined reward functions.
getRewardTimeVector() - Method in class jline.solvers.ctmc.SolverCTMC: Get the time vector for reward computation.
getRewardTimeVector() - Method in class jline.solvers.ldes.SolverLDES: Time vector associated with SolverLDES.getTranReward().
getRewardValueFunction(String) - Method in class jline.solvers.ctmc.SolverCTMC: Get the value function for a specific reward.
getRho() - Method in class jline.api.nc.MeCqnResult
getRho() - Method in class jline.api.nc.MeOqnResult
getRight() - Method in class jline.util.Pair
getRmax() - Method in class jline.api.fj.FJ_bounds.FJBoundsResult
getRmin() - Method in class jline.api.fj.FJ_bounds.FJBoundsResult
getRN() - Method in class jline.solvers.mam.handlers.MetricsResult
getRN() - Method in class jline.solvers.mam.MAMFJResult
getRN() - Method in class jline.solvers.ssa.handlers.SolverSSAResultNRM
getRng() - Method in class jline.opt.solver.de.DifferentialEvolution
getRoot() - Method in class jline.api.mdd.MDD: Id of the root node, or TERM_FALSE for the empty set.
getRootFolder() - Static method in class jline.io.SysUtils
getRoute_prob_updmap() - Method in class jline.solvers.ln.SolverLN
getRouterNodes() - Method in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
getRoutingMatrix(Matrix, int) - Method in class jline.lang.Network
getRoutingStrat() - Method in class jline.gen.NetworkGenerator
getRoutingStrategy() - Method in class jline.lang.OutputStrategy
getRoutingStrategy(JobClass) - Method in class jline.lang.nodes.Node: Returns the routing strategy configured for a specific job class.
getRoutingStrategyFromNodeAndClassPair(Node, JobClass) - Method in class jline.lang.Network
getRow(int) - Method in class jline.util.matrix.Matrix: Returns the specified row as a single-row matrix.
getRowAsArray(Matrix, int) - Static method in class jline.lib.fjcodes.FjCodesUtils: Extract row row of matrix as a double[].
getRowAsArray(Matrix, int) - Static method in class jline.lib.fjcodes.FJUtils: Extract a row from a Matrix as a double[].
getRowIndex() - Method in class jline.util.matrix.RowView: Returns the row index that this view represents.
getRowMax(int) - Method in class jline.util.matrix.Matrix: Returns column index of maximum element in a specified row.
getRowsFrom(int) - Method in class jline.util.matrix.Matrix: Returns a new matrix consisting of rows from the given start index to the end.
getRowView(int) - Method in class jline.util.matrix.Matrix: Returns a lightweight view into the specified row without copying data.
getRuntime() - Method in class jline.solvers.ctmc.analyzers.RewardResult
getRuntime() - Method in class jline.solvers.ctmc.ResultCTMCMargAggr: Get the computation runtime
getRuntime() - Method in class jline.solvers.ctmc.SolverCTMC.SolverCtmcJointResult
getS() - Method in class jline.api.aoi.AoiParams
getS() - Method in class jline.lib.fjcodes.FJServiceH
getS() - Method in class jline.lib.fjcodes.SAResult
getS() - Method in class jline.lib.m3a.MTrace
getS_last() - Method in class jline.lib.fjcodes.SRKResult
getS_long() - Method in class jline.lib.fjcodes.SRKResult
getSampleAccepted() - Method in class jline.lib.perm.HuberLawSampler
getSamplePathTable(List<Object[]>) - Method in class jline.solvers.env.SolverENV: Computes transient performance metrics for a sample path through environment states.
getSamples() - Method in class jline.io.Ret.mamMMAPSample
getSampleTime() - Method in class jline.lib.perm.HuberLawSampler
getSAt(double) - Method in class jline.lang.processes.PHt: S in force at t; the zero matrix past a non-cyclic horizon.
getSaveHandlers(SolverAvgHandles) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Gets or creates the SaveHandlers instance for XML generation.
getScalarProbability() - Method in class jline.io.Ret.ProbabilityResult: Gets the probability as a scalar value.
getScale() - Method in class jline.io.tikz.SequenceDiagramOptions
getScc() - Method in class jline.api.mc.Ctmc_solve_reducible_blkdecompResult
getScenarios() - Method in class jline.opt.OptimizationProblem
getSchedPolicy() - Method in class jline.lang.nodes.Queue: Gets the scheduling policy type (preemptive or non-preemptive).
getSchedStrat() - Method in class jline.gen.NetworkGenerator
getSchedStrategy() - Method in class jline.api.aoi.AoiValidationResult
getSchedStrategy() - Method in class jline.lang.nodes.Queue: Gets the scheduling strategy used by this queue.
getSchedStrategy() - Method in class jline.lang.nodes.Router: Gets the scheduling strategy used by this router.
getSchedStrategy() - Method in class jline.lang.nodes.ServiceNode
getSchedStrategy() - Method in class jline.lang.nodes.Source: Gets the scheduling strategy for this source node.
getSchedStrategy() - Method in class jline.lang.nodes.Station: Returns the scheduling strategy used by this station.
getSchedStrategyPar(JobClass) - Method in class jline.lang.nodes.Queue: Gets the scheduling strategy parameter for a specific job class.
getSchedStrategyPar(JobClass) - Method in class jline.lang.nodes.ServiceNode
getScheduling() - Method in class jline.lang.layered.Host
getScheduling() - Method in class jline.lang.layered.Task
getScv() - Method in class jline.api.trace.Mtrace_bootstrap.TraceStatistics
getSCV() - Method in class jline.lang.processes.Bernoulli
getSCV() - Method in class jline.lang.processes.Binomial
getSCV() - Method in class jline.lang.processes.BMMAPt: NaN: a BMMAP_t is neither renewal nor time-homogeneous, so there is no i.i.d.
getSCV() - Method in class jline.lang.processes.Coxian
getSCV() - Method in class jline.lang.processes.Det: Gets the squared coefficient of variation.
getSCV() - Method in class jline.lang.processes.Disabled
getSCV() - Method in class jline.lang.processes.DiscreteSampler: Computes the distribution squared coefficient of variation (SCV = variance/mean^2)
getSCV() - Method in class jline.lang.processes.DiscreteUniform
getSCV() - Method in class jline.lang.processes.Distribution: Gets the squared coefficient of variation (SCV) of this distribution.
getSCV() - Method in class jline.lang.processes.DMAP
getSCV() - Method in class jline.lang.processes.EmpiricalCDF
getSCV() - Method in class jline.lang.processes.Erlang: Gets the squared coefficient of variation.
getSCV() - Method in class jline.lang.processes.Exp: Gets the squared coefficient of variation.
getSCV() - Method in class jline.lang.processes.Expolynomial: Returns NaN: the SCV is not obtained by numerical integration.
getSCV() - Method in class jline.lang.processes.Gamma
getSCV() - Method in class jline.lang.processes.Geometric
getSCV() - Method in class jline.lang.processes.GMM
getSCV() - Method in class jline.lang.processes.HyperExp
getSCV() - Method in class jline.lang.processes.Immediate
getSCV() - Method in class jline.lang.processes.Lognormal
getSCV() - Method in class jline.lang.processes.MAP
getSCV() - Method in class jline.lang.processes.MAPt: NaN: a MAP_t is neither renewal nor time-homogeneous, so there is no i.i.d.
getSCV() - Method in class jline.lang.processes.MarkedMMPP
getSCV() - Method in class jline.lang.processes.Markovian
getSCV() - Method in class jline.lang.processes.ME: Gets the squared coefficient of variation, var/mean^2.
getSCV() - Method in class jline.lang.processes.MMAPt: NaN: an MMAP_t is neither renewal nor time-homogeneous, so there is no i.i.d.
getSCV() - Method in class jline.lang.processes.MMDP: Computes the squared coefficient of variation of rates.
getSCV() - Method in class jline.lang.processes.MMDP2: Computes the squared coefficient of variation (closed-form).
getSCV() - Method in class jline.lang.processes.MMPP2
getSCV() - Method in class jline.lang.processes.MPHt: NaN: an MPH_t is time-varying, so no i.i.d.
getSCV() - Method in class jline.lang.processes.MultivariateNormal: Gets the squared coefficient of variation (not meaningful for multivariate).
getSCV() - Method in class jline.lang.processes.NHPP: Returns NaN: an NHPP is not a renewal process, so there is no i.i.d.
getSCV() - Method in class jline.lang.processes.Normal
getSCV() - Method in class jline.lang.processes.Pareto
getSCV() - Method in class jline.lang.processes.PH
getSCV() - Method in class jline.lang.processes.PHt: NaN: the service-time distribution differs at every start epoch, so there is no single i.i.d.
getSCV() - Method in class jline.lang.processes.Poisson
getSCV() - Method in class jline.lang.processes.Prior: Gets the prior-weighted SCV using law of total variance.
getSCV() - Method in class jline.lang.processes.Replayer
getSCV() - Method in class jline.lang.processes.Uniform
getSCV() - Method in class jline.lang.processes.Weibull
getSCV() - Method in class jline.lang.processes.Zipf: Computes the squared coefficient of variation == variance/mean^2
getSe() - Method in class jline.lib.fjcodes.SRKResult
getSecond() - Method in class jline.lib.kpctoolbox.smp.DET.Triple
getSecond() - Method in class jline.lib.smc.Quadruple
getSecond() - Method in class jline.util.Pair: Alias for Pair.getRight().
getSecond() - Method in class jline.util.Triple
getSections() - Method in class jline.lang.nodes.Cache: Gets the internal sections of this cache node.
getSections() - Method in class jline.lang.nodes.Node: Gets all sections (input, server, output) that compose this node.
getSeed() - Method in class jline.solvers.wrappers.jmt.io.JMTIO
getSeed() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getSegmentIndexAt(double) - Method in class jline.lang.processes.BMMAPt: Index of the segment in force at t, or -1 past a non-cyclic horizon.
getSegmentIndexAt(double) - Method in class jline.lang.processes.MAPt: Index of the segment in force at t, or -1 past a non-cyclic horizon.
getSegmentIndexAt(double) - Method in class jline.lang.processes.MMAPt: Index of the segment in force at t, or -1 past a non-cyclic horizon.
getSegmentIndexAt(double) - Method in class jline.lang.processes.MPHt: Index of the segment in force at t, or -1 past a non-cyclic horizon.
getSegmentIndexAt(double) - Method in class jline.lang.processes.PHt: Index of the segment in force at t, or -1 past a non-cyclic horizon.
getSelectedSolverName() - Method in class jline.solvers.auto.SolverAUTO: Get the name of the selected solver
getSens() - Method in class jline.solvers.NetworkSensitivityTable: Returns the raw differentiated-MVA result behind this table, the second output that MATLAB's getSensitivityTable returns alongside the table.
getSensitivity(SolverCTMC.SensitivityParameter, Matrix) - Method in class jline.solvers.ctmc.SolverCTMC
getSensitivity(SolverCTMC.SensitivityParameter, Matrix, String) - Method in class jline.solvers.ctmc.SolverCTMC: Parametric sensitivity of a steady-state reward, Trivedi and Bobbio (2017), Sec.
getSensitivityT() - Method in class jline.solvers.NetworkSolver
getSensitivityT(String, double, String) - Method in class jline.solvers.NetworkSolver
getSensitivityTable() - Method in class jline.solvers.ln.SolverLN: Layer-wise performance sensitivities of the layered network with respect to service rates.
getSensitivityTable() - Method in class jline.solvers.NetworkSolver: Performance sensitivities with respect to service rates.
getSensitivityTable(String, double, String) - Method in class jline.solvers.ln.SolverLN: Layer-wise performance sensitivities with an explicit branch, step and difference scheme.
getSensitivityTable(String, double, String) - Method in class jline.solvers.NetworkSolver: Performance sensitivities with respect to service rates, with an explicit branch, step and difference scheme.
getSequences() - Method in class jline.api.wf.Wf_analyzer.DetectedPatterns
getSequenceStats(List<List<Integer>>) - Static method in class jline.api.wf.Wf_sequence_detector: Get sequence statistics for analysis.
getSerChoice() - Method in class jline.lib.fjcodes.FJService
getServer() - Method in class jline.lang.nodes.Node: Gets the service section that handles job processing at this node.
getServerIdx() - Method in class jline.lang.NetworkAttribute
getServerIdxOf() - Method in class jline.lang.NetworkAttribute
getServerParallelism(JobClass) - Method in class jline.lang.nodes.Queue: Gets the number of servers seized by a job of the given class.
getServerType(int) - Method in class jline.lang.nodes.Queue: Gets a server type by its ID.
getServerType(String) - Method in class jline.lang.nodes.Queue: Gets a server type by its name.
getServerTypes() - Method in class jline.lang.layered.LayeredNetworkElement: Declared compatibility pools.
getServerTypes() - Method in class jline.lang.nodes.Queue: Gets the list of server types configured for this queue.
getService(JobClass) - Method in class jline.lang.nodes.Place
getService(JobClass) - Method in class jline.lang.nodes.Queue: Gets the service time distribution for a specific job class.
getService(JobClass, ServerType) - Method in class jline.lang.nodes.Queue: Gets the service time distribution for a specific job class and server type.
getService_phases() - Method in class jline.lib.fjcodes.FJServiceH
getServiceDistribution(JobClass) - Method in class jline.lang.sections.ServiceSection
getServiceName() - Method in class jline.streaming.OtlpMetricsClient: Get the service name configured for this client.
getServiceNodes() - Method in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
getServiceParam(Station) - Method in class jline.lang.NetworkStruct: Returns the ServiceNodeParam attached to the given station, or null if the station has no nodeparam entry or its entry is not a ServiceNodeParam.
getServiceParameters() - Method in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
getServiceParameters() - Method in class jline.api.wf.Wf_pattern_updater.UpdatedWorkflow
getServiceProb() - Method in class jline.api.dqsys.GeoGeo1Result: Per-slot service completion probability s.
getServiceProb() - Method in class jline.api.dqsys.GeoXGeo1Result: Per-slot service completion probability s.
getServiceProcess(JobClass) - Method in class jline.lang.nodes.Router: Gets the service distribution for a specific job class.
getServiceProcess(JobClass) - Method in class jline.lang.nodes.ServiceNode
getServiceProcess(JobClass) - Method in class jline.lang.nodes.ServiceStation
getServiceProcess(JobClass) - Method in class jline.lang.sections.ServiceSection
getServiceRateFunction() - Method in class jline.lang.nodes.Queue: Returns the mu(c) service rate function of a PAS queue, or null.
getServiceRates() - Method in class jline.lang.nodes.Station
getServiceStrategy() - Method in class jline.lang.ServiceBinding
getServt_classes_updmap() - Method in class jline.solvers.ln.SolverLN
getSestar() - Method in class jline.lib.fjcodes.SRKResult
getSetupTime() - Method in class jline.lang.layered.Task
getSetupTime(JobClass) - Method in class jline.lang.nodes.Queue: Gets the setup time distribution for a job class.
getSetupTimeMean() - Method in class jline.lang.layered.Task
getSetupTimeSCV() - Method in class jline.lang.layered.Task
getShiftType() - Method in class jline.lib.smc.MG1CROptions
getShiftType() - Method in class jline.lib.smc.MG1FIOptions
getShortName() - Method in class jline.io.ModelVisualizer.ModelVertex: Returns the short name for this vertex based on its type.
getSigma() - Method in class jline.api.aoi.AoiParams
getSigma() - Method in class jline.api.qsys.PhM1Result
getSigmas() - Method in class jline.lang.processes.GMM
getSignalType() - Method in class jline.lang.ClosedSignal: Gets the signal type for this signal class.
getSignalType() - Method in class jline.lang.OpenSignal: Gets the signal type for this signal class.
getSignalType() - Method in class jline.lang.Signal: Gets the signal type for this signal class.
getSimConfInt() - Method in class jline.solvers.wrappers.jmt.io.JMTIO
getSimConfInt() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getSimDoc() - Method in class jline.io.ElementDocumentPair
getSimElem() - Method in class jline.io.ElementDocumentPair
getSimMaxRelErr() - Method in class jline.solvers.wrappers.jmt.io.JMTIO
getSimMaxRelErr() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getSimulationSolver(Network) - Static method in class jline.bench.BenchmarkSolvers
getSimulationTimeoutSeconds() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getSink() - Method in class jline.lang.Network
getSinkIdx() - Method in class jline.api.aoi.AoiValidationResult
getSinkIdx() - Method in class jline.api.fj.FJInfo
getSize() - Method in class jline.lang.Network: Returns the dimensions of this network as [nodes, classes].
getSjrnT() - Method in class jline.solvers.fluid.SolverFluid: Get sojourn time CDF.
getSkewness() - Method in class jline.api.trace.Mtrace_bootstrap.TraceStatistics
getSkewness() - Method in class jline.api.trace.SingleClassCountStats
getSkewness() - Method in class jline.lang.processes.Bernoulli
getSkewness() - Method in class jline.lang.processes.Binomial
getSkewness() - Method in class jline.lang.processes.BMMAPt: NaN; see BMMAPt.getSCV().
getSkewness() - Method in class jline.lang.processes.Coxian
getSkewness() - Method in class jline.lang.processes.Det: Gets the skewness of this deterministic distribution.
getSkewness() - Method in class jline.lang.processes.Disabled
getSkewness() - Method in class jline.lang.processes.DiscreteSampler
getSkewness() - Method in class jline.lang.processes.DiscreteUniform
getSkewness() - Method in class jline.lang.processes.Distribution: Gets the skewness of this distribution.
getSkewness() - Method in class jline.lang.processes.EmpiricalCDF
getSkewness() - Method in class jline.lang.processes.Erlang: Gets the skewness of this Erlang distribution.
getSkewness() - Method in class jline.lang.processes.Exp: Gets the skewness of this exponential distribution.
getSkewness() - Method in class jline.lang.processes.Expolynomial: Returns NaN: the skewness is not obtained by numerical integration.
getSkewness() - Method in class jline.lang.processes.Gamma
getSkewness() - Method in class jline.lang.processes.Geometric
getSkewness() - Method in class jline.lang.processes.GMM
getSkewness() - Method in class jline.lang.processes.HyperExp
getSkewness() - Method in class jline.lang.processes.Immediate
getSkewness() - Method in class jline.lang.processes.Lognormal
getSkewness() - Method in class jline.lang.processes.MAP
getSkewness() - Method in class jline.lang.processes.MAPt: NaN; see MAPt.getSCV().
getSkewness() - Method in class jline.lang.processes.MarkedMMPP
getSkewness() - Method in class jline.lang.processes.Markovian
getSkewness() - Method in class jline.lang.processes.MMAPt: NaN; see MMAPt.getSCV().
getSkewness() - Method in class jline.lang.processes.MMPP2
getSkewness() - Method in class jline.lang.processes.MPHt: NaN; see MPHt.getSCV().
getSkewness() - Method in class jline.lang.processes.MultivariateNormal: Gets the skewness.
getSkewness() - Method in class jline.lang.processes.NHPP: Returns NaN; see NHPP.getSCV().
getSkewness() - Method in class jline.lang.processes.Normal
getSkewness() - Method in class jline.lang.processes.Pareto
getSkewness() - Method in class jline.lang.processes.PH
getSkewness() - Method in class jline.lang.processes.PHt: NaN; see PHt.getSCV().
getSkewness() - Method in class jline.lang.processes.Poisson
getSkewness() - Method in class jline.lang.processes.Prior: Gets the prior-weighted skewness.
getSkewness() - Method in class jline.lang.processes.Replayer
getSkewness() - Method in class jline.lang.processes.Uniform
getSkewness() - Method in class jline.lang.processes.Weibull
getSkewness() - Method in class jline.lang.processes.Zipf
getSlice(boolean[], boolean[]) - Method in class jline.util.matrix.Matrix: Extracts a submatrix from rows/columns marked as true in input flags.
getSlice(int, int, int, int) - Method in class jline.util.matrix.Matrix: Extracts a submatrix based on row/column bounds.
getSmat() - Method in class jline.lib.qmam.MAPMAP1Result
getSmat() - Method in class jline.lib.qmam.MAPMcResult
getSmat() - Method in class jline.lib.qmam.MMAPKPHK1Result
getSn() - Method in class jline.api.mc.CtmcSsgReachabilityResult
getSn() - Method in class jline.solvers.ctmc.ResultCTMC
getSn() - Method in class jline.solvers.ctmc.SolverCTMC.CtmcSsgResult
getSn() - Method in class jline.solvers.ssa.handlers.SolverSSAResultNRM
getSoi() - Method in class jline.api.pfqn.mva.Pfqn_mvaoi.Result: (K x R) per-class mean number of in-service jobs; see the field doc.
getSojAlpha() - Method in class jline.lib.qmam.MAPMAP1Result
getSojAlpha() - Method in class jline.lib.qmam.MMAPKPHK1Result
getSojournMoments() - Method in class jline.lib.butools.queues.FluFluResult
getSojournSolution() - Method in class jline.lib.butools.queues.FluFluResult
getSojournTimeMoments() - Method in class jline.api.qsys.QsysMapPhResult
getSolution() - Method in class jline.api.mam.QPResult
getSolver() - Method in class jline.api.fes.FESOptions: Solver to use for throughput computation ('mva' default).
getSolver() - Method in class jline.lib.smc.MG1PiOptions
getSolver() - Method in class jline.solvers.auto.SolverCandidate
getSolver(int) - Method in class jline.solvers.EnsembleSolver: Returns the child solver associated with sub-model (stage) e.
getSolverRandom(String) - Static method in class jline.util.RandomManager: Gets a solver-specific MersenneTwister instance.
getSolverRecommendation() - Method in class jline.api.wf.WorkflowManager.WorkflowAnalysisResult
getSortedActivities() - Method in class jline.io.tikz.SequenceDiagramLayoutEngine
getSource() - Method in class jline.lang.Graph.Edge
getSource() - Method in class jline.lang.Network
getSource() - Method in class jline.opt.variables.RoutingProbabilities
getSourceIdx() - Method in class jline.api.aoi.AoiValidationResult
getSourceIdx() - Method in class jline.api.fj.FJInfo
getSourceIdx() - Method in class jline.api.qsys.RetrialInfo
getSourceIdx() - Method in class jline.lang.NetworkAttribute
getSourceNodes() - Method in class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
getSourceRates() - Method in class jline.lang.nodes.Station: Gets the source (arrival) rates for all job classes at this station.
getSourceStation() - Method in class jline.api.aoi.AoiValidationResult
getSpawnClassIndex() - Method in class jline.lang.JobClass: Gets the 1-based index of the spawn class, or -1 if none.
getSpectrum() - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
getSpeedFactor() - Method in class jline.lang.layered.Host
getSpr() - Method in class jline.api.mam.QbdRapResult: Spectral radius Sp(R); the process is positive recurrent iff Sp(R) < 1.
getSPTree() - Method in class jline.lang.workflow.Workflow: Cached series-parallel decomposition, or null when the precedence graph is not series-parallel.
getSqD() - Method in class jline.lang.OutputStrategy
getSSegments() - Method in class jline.lang.processes.MPHt
getSSegments() - Method in class jline.lang.processes.PHt
getSSegments() - Method in class jline.lang.processes.PHt.RateSchedule
getSt() - Method in class jline.lib.fjcodes.FJService
getST() - Method in class jline.lib.fjcodes.FJService
getStageModels() - Method in class jline.lang.Environment: Stage models by absolute index; may hold Network or LayeredNetwork.
getStageName(int) - Method in class jline.lang.Environment: Gets the name of the stage at the given index.
getStageResult(int) - Method in class jline.solvers.EnsembleSolver: Returns the latest per-stage SolverResult for sub-model e, as held by its child solver (or null if not yet solved).
getStageT() - Method in class jline.lang.Environment: Short alias for getStageTable.
getStageT() - Method in class jline.solvers.NetworkSolver
getStageT(boolean) - Method in class jline.solvers.NetworkSolver
getStageTable() - Method in class jline.lang.Environment: Returns a table of stage information for this environment.
getStageTable() - Method in class jline.solvers.NetworkSolver: Returns a table of average stage metrics organized by job classes.
getStageTable(boolean) - Method in class jline.solvers.NetworkSolver: Returns a table of average stage metrics organized by job classes with keepDisabled option.
getStageType(int) - Method in class jline.lang.Environment: Gets the type classification of the stage at the given index.
getStartFilt() - Method in class jline.solvers.ctmc.ResultCTMC
getStartRate() - Method in class jline.solvers.ctmc.SolverCTMC: (stations x classes) rate at which a class-r job BEGINS or RESUMES holding a server at station i, i.e.
getStartRate() - Method in class jline.solvers.ssa.SolverSSA: (stations x classes) rate at which a class-r job BEGINS or RESUMES holding a server at station i, estimated over the simulated path exactly as the throughput is.
getStartTime() - Method in class jline.lang.nodes.Logger
getStartValue() - Method in class jline.lib.smc.MG1FIOptions
getState() - Method in class jline.lang.Event: Gets the system state matrix when this event occurred.
getState() - Method in class jline.lang.ModeEvent
getState() - Method in class jline.lang.Network
getState() - Method in class jline.lang.nodes.Node: Gets the current state of this node.
getState() - Method in class jline.lang.nodes.StatefulNode
getState() - Method in class jline.solvers.ln.SolverLN: Export current solver state for continuation.
getStateDepRouting(JobClass) - Method in class jline.lang.nodes.Node: Returns the state-dependent routing structure declared for a job class.
getStatefulIdx() - Method in class jline.lang.nodes.Node: Gets the index of this node in the network's stateful node collection.
getStatefulIndex() - Method in class jline.lang.nodes.StatefulNode
getStatefulNodeFromIndex(int) - Method in class jline.lang.Network
getStatefulNodeIndex(String) - Method in class jline.lang.Network
getStatefulNodeIndex(Node) - Method in class jline.lang.Network
getStatefulNodeNames() - Method in class jline.lang.Network
getStatefulNodes() - Method in class jline.lang.Network
getStatefulServers() - Method in class jline.lang.Network
getStateHistogram() - Method in class jline.solvers.ldes.SolverLDES: Runs the simulation with state-histogram export enabled and returns the exact joint-state residence-time histogram.
getStateKey() - Method in class jline.opt.solver.de.MT19937: Copy of the internal 624-word key (for state validation/tests).
getStateMatrix() - Method in class jline.io.Ret.SampleResult: Gets the state trajectory as a matrix (for single-node sampling).
getStatePrior() - Method in class jline.lang.nodes.StatefulNode
getStates() - Method in class jline.io.Ret.mamMMAPSample
getStateSpace() - Method in class jline.api.mc.CtmcSsgReachabilityResult
getStateSpace() - Method in class jline.lang.nodes.StatefulNode
getStateSpace() - Method in class jline.lang.processes.MarkovChain: Get the state space
getStateSpace() - Method in class jline.lang.processes.MarkovProcess: Get the state space
getStateSpace() - Method in class jline.solvers.auto.SolverAUTO: State space, always from SolverCTMC.
getStateSpace() - Method in class jline.solvers.ctmc.analyzers.RewardResult
getStateSpace() - Method in class jline.solvers.ctmc.ResultCTMC
getStateSpace() - Method in class jline.solvers.ctmc.SolverCTMC.CtmcSsgResult
getStateSpace() - Method in class jline.solvers.ctmc.SolverCTMC
getStateSpace(SolverOptions) - Method in class jline.solvers.auto.SolverAUTO: State space, always from SolverCTMC.
getStateSpace(SolverOptions) - Method in class jline.solvers.ctmc.SolverCTMC
getStateSpaceAggr() - Method in class jline.api.mc.CtmcSsgReachabilityResult
getStateSpaceAggr() - Method in class jline.solvers.ctmc.ResultCTMC
getStateSpaceAggr() - Method in class jline.solvers.ctmc.SolverCTMC.CtmcSsgResult
getStateSpaceAggr() - Method in class jline.solvers.ctmc.SolverCTMC
getStateSpaceHashed() - Method in class jline.api.mc.CtmcSsgReachabilityResult
getStateSpaceHashed() - Method in class jline.solvers.ctmc.SolverCTMC.CtmcSsgResult
getStateTrajectory() - Method in class jline.solvers.ldes.SolverLDES: Runs the simulation with state export enabled and returns the integer joint-state trajectory along the sampled path: {space, time} where row i of space is the aggregated state (CTMC stateSpaceAggr layout) at time[i].
getStation() - Method in class jline.opt.objectives.ResponseTimeConstraint
getStation() - Method in class jline.opt.objectives.ThroughputConstraint
getStation() - Method in class jline.opt.objectives.UtilizationConstraint
getStation() - Method in class jline.opt.variables.ServerAllocation
getStation() - Method in class jline.opt.variables.ServiceRate
getStation() - Method in class jline.opt.variables.StationReplicas
getStationByIndex(int) - Method in class jline.lang.Network
getStationByName(String) - Method in class jline.lang.Network
getStationFromIndex(int) - Method in class jline.lang.Network
getStationIdx() - Method in class jline.api.qsys.RetrialInfo
getStationIdx() - Method in class jline.lang.nodes.Node: Gets the index of this node in the network's station collection.
getStationIndex(String) - Method in class jline.lang.Network
getStationIndex(Node) - Method in class jline.lang.Network
getStationIndexes(int) - Method in class jline.lang.Network
getStationName() - Method in class jline.lang.Metric
getStationNames() - Method in class jline.lang.Network
getStationNames() - Method in class jline.solvers.LayeredNetworkSensitivityTable
getStationNames() - Method in class jline.solvers.NetworkAvgChainTable
getStationNames() - Method in class jline.solvers.NetworkAvgOrbitTable
getStationNames() - Method in class jline.solvers.NetworkAvgTable: Returns the list of station names.
getStationNames() - Method in class jline.solvers.NetworkBoundsTable: Returns the station names, one per row.
getStationNames() - Method in class jline.solvers.NetworkLossTable
getStationNames() - Method in class jline.solvers.NetworkMomentChainTable
getStationNames() - Method in class jline.solvers.NetworkMomentStationTable
getStationNames() - Method in class jline.solvers.NetworkMomentTable
getStationNames() - Method in class jline.solvers.NetworkPercTable
getStationNames() - Method in class jline.solvers.NetworkSensitivityTable
getStations() - Method in class jline.lang.layered.LayeredNetwork: Aggregate list of stations over the layer networks (block order).
getStations() - Method in class jline.lang.Network: Returns the list of stations in this network.
getStations() - Method in class jline.lang.NetworkStruct: Returns the list of stations in the network.
getStations() - Method in class jline.opt.variables.ClassServiceMapping
getStationScheduling() - Method in class jline.lang.Network
getStationServers() - Method in class jline.lang.Network
getStationSubset() - Method in class jline.api.fes.FESDeaggInfo
getStatistics() - Method in class jline.api.wf.Wf_analyzer.WorkflowAnalysis
getStd() - Method in class jline.lang.processes.Normal
getSteadyState() - Method in class jline.solvers.ctmc.analyzers.RewardResult
getStepHandlers() - Method in class odesolver.LSODA
getStepsTaken() - Method in class odesolver.LSODA
getStochCompComplement() - Method in class jline.api.fes.FESDeaggInfo
getStochCompSubset() - Method in class jline.api.fes.FESDeaggInfo
getStrategyParam(JobClass) - Method in class jline.lang.nodes.Station: Returns the scheduling-strategy parameter for the given job class (0.0 if not set).
getStream() - Method in class jline.solvers.ldes.SolverLDES: Returns the current streaming collector, or null if not streaming.
getStreamingCollector() - Method in class jline.solvers.ssa.SolverSSA: Get the active streaming collector (for use by Solver_ssa.kt).
getStruct() - Method in class jline.examples.java.advanced.SolverCustom: The data structure summarizing the model (no initial state needed).
getStruct() - Method in class jline.lang.layered.LayeredNetwork: Gets the structural representation of the layered network.
getStruct() - Method in class jline.lang.Network
getStruct() - Method in class jline.solvers.ag.SolverAG
getStruct() - Method in class jline.solvers.auto.SolverAUTO: Model structure, as every other solver exposes it.
getStruct() - Method in class jline.solvers.ba.SolverBA
getStruct() - Method in class jline.solvers.env.SolverENV: Returns the network structures for all stages in the environment.
getStruct() - Method in class jline.solvers.fluid.SolverFluid: Get model structure data structure summarizing the network
getStruct() - Method in class jline.solvers.ldes.SolverLDES: Returns the network structure for this solver.
getStruct() - Method in class jline.solvers.mam.SolverMAM
getStruct() - Method in class jline.solvers.mva.SolverMVA: Returns the network structure used by this solver.
getStruct() - Method in class jline.solvers.nc.SolverNC
getStruct() - Method in class jline.solvers.ssa.SolverSSA
getStruct() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getStruct() - Method in class jline.solvers.wrappers.lqns.SolverLQNS
getStruct(boolean) - Method in class jline.lang.layered.LayeredNetwork: Gets the structural representation of the layered network.
getStruct(boolean) - Method in class jline.lang.Network
getStruct(SolverCTMC) - Method in class jline.solvers.ctmc.SolverCTMC
getSubgenerator() - Method in class jline.lang.processes.APH
getSubgenerator() - Method in class jline.lang.processes.Markovian
getSubgenerator() - Method in class jline.lang.processes.MPH: The h-by-h sub-generator.
getSubgenerator() - Method in class jline.lang.processes.PH
getSubMatrix(Matrix, int, int, int, int) - Static method in class jline.util.matrix.Matrix: Extracts a submatrix from the source matrix using zero-based index ranges.
getSubMatrix(Matrix, Matrix) - Method in class jline.util.matrix.Matrix: Returns a matrix consisting of rows and columns selected by two index matrices.
getSubProblemResult(String) - Method in class jline.opt.results.WorkflowResult
getSubProblems() - Method in class jline.opt.decomposition.DecompositionWorkflow
getSubsetIndices() - Method in class jline.api.fes.FESDeaggInfo
getSupport() - Method in class jline.lang.processes.Distribution: Gets the support range of this distribution.
getSupportedOrders() - Static method in class jline.lang.processes.CME: Gets the sorted list of CME orders (phase counts) present in the table.
getSwapGraph() - Method in class jline.lang.nodes.Queue: Returns the (nclasses x nclasses) swap graph of a PAS queue, or null.
getSwitchover(JobClass) - Method in class jline.lang.nodes.Queue: Gets the switchover time for a job class (POLLING scheduling strategy).
getSwitchover(JobClass) - Method in class jline.lang.sections.PollingServer: Gets the switchover time for a job class.
getSwitchover(JobClass, JobClass) - Method in class jline.lang.nodes.Queue: Gets the switchover time from one job class to another.
getSwitchoverTime(JobClass, JobClass) - Method in class jline.lang.nodes.Station: Gets the switchover time from one job class to another.
getSymbolicDrift() - Method in class jline.solvers.fluid.SolverFluid: Right-hand side of the mean-field ODE system as expression strings, one per state variable, in the format the symbolic backend parses.
getSymbolicEntry(int, int) - Method in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult: Symbolic expression of generator entry (i,j), e.g.
getSymbolicGenerator() - Method in class jline.solvers.auto.SolverAUTO: Symbolic infinitesimal generator, always from SolverCTMC.
getSymbolicGenerator() - Method in class jline.solvers.ctmc.SolverCTMC: Symbolic infinitesimal generator with each event filtration normalized by its minimum positive rate and scaled by a symbolic variable x1, ..., xE.
getSymbolicGenerator(boolean) - Method in class jline.solvers.auto.SolverAUTO: Symbolic infinitesimal generator, always from SolverCTMC.
getSymbolicGenerator(boolean) - Method in class jline.solvers.ctmc.SolverCTMC: Symbolic infinitesimal generator.
getSymbolicSolution() - Method in class jline.solvers.ctmc.SolverCTMC: Symbolic stationary distribution of the CTMC, as a function of the event rate symbols x1, ..., xE.
getSymbolicSolution(SymEngine) - Method in class jline.solvers.ctmc.SolverCTMC: Symbolic stationary distribution, computed by a given backend.
getSyncCallDests() - Method in class jline.lang.layered.Activity
getSyncCallGroups() - Method in class jline.lang.layered.Activity
getSyncCallMeans() - Method in class jline.lang.layered.Activity
getSynchCallRange() - Method in class jline.gen.LayeredNetworkGenerator
getSysAvgT() - Method in class jline.solvers.NetworkSolver: Alias for getAvgSysTable().
getSysAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Alias for getAvgSysTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
getSysAvgT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Alias for getAvgSysTable(SolverAvgHandles avgHandles).
getSysRespT() - Method in class jline.solvers.NetworkAvgSysTable
getSysTard() - Method in class jline.solvers.NetworkAvgTable: Returns the system tardiness values from the table if available.
getSystemResponseTime() - Method in class jline.opt.results.EvaluationResult: Throughput-weighted mean end-to-end response time across chains, matching total-jobs / total-throughput by Little's law.
getSystemResponseTime(String) - Method in class jline.opt.results.EvaluationResult
getSystemStateList() - Method in class jline.io.Ret.SampleResult: Gets the system state trajectories as a list of matrices (for system-wide sampling).
getSystemThroughput() - Method in class jline.opt.results.EvaluationResult
getSystemThroughput(String) - Method in class jline.opt.results.EvaluationResult
getSystemType() - Method in class jline.api.aoi.AoiMfqResult
getSystemType() - Method in class jline.api.aoi.AoiParams
getSystemType() - Method in class jline.api.aoi.AoiValidationResult
getSysTput() - Method in class jline.solvers.NetworkAvgSysTable
getT() - Method in class jline.api.aoi.Aoi_dist2phResult
getT() - Method in class jline.api.aoi.AoiParams
getT() - Method in class jline.api.nc.MeOqnBlkResult: Carried throughput at each station.
getT() - Method in class jline.api.pfqn.lcfs.LcfsqnMvaResult
getT() - Method in class jline.api.wf.Wf_pattern_updater.ServiceParameters
getT() - Method in class jline.inference.lang.SampledMetric
getT() - Method in class jline.lang.Event: Gets the time when this event occurred.
getT() - Method in class jline.lang.ModeEvent
getT() - Method in class jline.lib.fjcodes.GenerateServiceResult
getT() - Method in class jline.lib.ode.RKF45Result
getTaggedJob() - Method in class jline.lang.ModelAdapter.TaggedChainResult
getTaggedModel() - Method in class jline.lang.ModelAdapter.TaggedChainResult
getTard() - Method in class jline.solvers.NetworkAvgTable: Returns the tardiness values from the table if available.
getTargetJobClass() - Method in class jline.lang.ClosedSignal: Gets the associated job class.
getTargetJobClass() - Method in class jline.lang.OpenSignal: Gets the associated job class.
getTargetJobClass() - Method in class jline.lang.Signal: Gets the associated job class.
getTargetJobClassIndex() - Method in class jline.lang.ClosedSignal: Gets the index of the associated job class.
getTargetJobClassIndex() - Method in class jline.lang.OpenSignal: Gets the index of the associated job class.
getTargetJobClassIndex() - Method in class jline.lang.Signal: Gets the index of the associated job class.
getTargetNodes() - Method in class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
getTargets() - Method in class jline.opt.variables.RoutingProbabilities
getTaskForEntry(String) - Method in class jline.io.tikz.SequenceDiagramLayoutEngine
getTaskInfProbability() - Method in class jline.gen.LayeredNetworkGenerator
getTaskMultiRange() - Method in class jline.gen.LayeredNetworkGenerator
getTasks() - Method in class jline.lang.layered.Host: Returns the list of tasks running on this host.
getTasks() - Method in class jline.lang.layered.LayeredNetwork
getTasks() - Method in class jline.lang.NetworkAttribute
getTaskStations() - Method in class jline.lang.NetworkAttribute
getTau() - Method in class jline.api.aoi.AoiParams
getTau_st() - Method in class jline.lib.fjcodes.FJService
getTCriticalValue(double, int) - Static method in class jline.solvers.ldes.handlers.Solver_ssj: Get t-distribution critical value for given confidence level and degrees of freedom.
getTheta() - Method in class jline.api.qsys.Patience
getThinkt_classes_updmap() - Method in class jline.solvers.ln.SolverLN
getThinkTime() - Method in class jline.lang.layered.Activity
getThinkTime() - Method in class jline.lang.layered.Task: Think-time distribution, or null when none was set.
getThinkTimeMean() - Method in class jline.lang.layered.Activity
getThinkTimeMean() - Method in class jline.lang.layered.Task
getThinkTimeRange() - Method in class jline.gen.LayeredNetworkGenerator
getThinkTimeSCV() - Method in class jline.lang.layered.Activity
getThinkTimeSCV() - Method in class jline.lang.layered.Task
getThird() - Method in class jline.lib.kpctoolbox.smp.DET.Triple
getThird() - Method in class jline.lib.smc.Quadruple
getThird() - Method in class jline.util.Triple
getThreadPool() - Method in class jline.solvers.ldes.SolverLDES: Returns the thread pool for parallel replication execution.
getThreadPool() - Method in class jline.solvers.ssa.SolverSSA
getThreadRandom() - Static method in class jline.util.RandomManager: Gets a thread-specific MersenneTwister instance.
getThreadRandomAsRandom() - Static method in class jline.util.RandomManager: Gets a thread-specific Random instance for compatibility with java.util.Random.
getThroughput() - Method in class jline.api.dqsys.GeoGeo1Result: Departures per slot, equal to a in steady state.
getThroughput() - Method in class jline.api.dqsys.GeoXGeo1Result: Departures per slot, equal to the arrival rate in steady state.
getThroughput() - Method in class jline.api.qsys.QsysRetrialResult
getThroughput() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
getThroughput(String) - Method in class jline.opt.results.EvaluationResult
getThroughput(String, String) - Method in class jline.opt.results.EvaluationResult
getThroughputTable() - Method in class jline.api.fes.FESDeaggInfo
getTime() - Method in class jline.lib.perm.PermSolver
getTime() - Method in class jline.solvers.ctmc.analyzers.RewardResult
getTimeAnyClass() - Method in class jline.lang.nodes.Logger
getTimeAverageBatch(int, int) - Method in class jline.lang.processes.BMMAPt: Width-weighted average of one (mark, batch size) block.
getTimeAverageBatchRates() - Method in class jline.lang.processes.BMMAPt: Per-batch-size EVENT rates of the time-averaged process, marks hidden.
getTimeAverageJobRate() - Method in class jline.lang.processes.BMMAPt: JOBS per unit time, sum_c sum_b b*rate(c,b).
getTimeAverageMark(int) - Method in class jline.lang.processes.BMMAPt: Width-weighted average of one mark's batch-aggregated blocks.
getTimeAverageMark(int) - Method in class jline.lang.processes.MMAPt: Width-weighted average of one mark's blocks, which is the D1 of that mark in the nominal marked process.
getTimeAverageMarkJobRates() - Method in class jline.lang.processes.BMMAPt: Per-mark JOB rates, sum_b b*rate(c,b).
getTimeAverageMarkRates() - Method in class jline.lang.processes.BMMAPt: Per-mark EVENT rates of the time-averaged process.
getTimeAverageMarkRates() - Method in class jline.lang.processes.MMAPt: Per-mark arrival rates of the time-averaged process.
getTimeAverageMarkRates() - Method in class jline.lang.processes.MPHt: Per-mark arrival rates of the time-averaged process; see MMAPt.
getTimeAverageProcess() - Method in class jline.lang.processes.BMMAPt: Width-weighted average pair over the horizon, {D0bar, D1bar}.
getTimeAverageProcess() - Method in class jline.lang.processes.MAPt: Width-weighted average (D0bar, D1bar) over the horizon.
getTimeAverageProcess() - Method in class jline.lang.processes.MMAPt: Width-weighted average pair over the horizon, {D0bar, D1bar}.
getTimeAverageProcess() - Method in class jline.lang.processes.MPHt: Width-weighted average pair over the horizon, {D0bar, D1bar} of the lowered process.
getTimeAverageProcessMAP() - Method in class jline.lang.processes.PHt: Width-weighted average nominal as a (D0, D1) MAP pair, D1 = s*alpha.
getTimeAverageRate() - Method in class jline.lang.processes.BMMAPt: The EVENT rate of the time-averaged aggregate MAP, i.e.
getTimeAverageRate() - Method in class jline.lang.processes.MAPt: Arrival rate of the time-averaged MAP.
getTimeAverageRate() - Method in class jline.lang.processes.MMAPt: Arrival rate of the time-averaged aggregate MAP.
getTimeAverageRate() - Method in class jline.lang.processes.MPHt: Arrival rate of the time-averaged aggregate MAP.
getTimeAverageRate() - Method in class jline.lang.processes.NHPP: Returns the time-average rate over the horizon, sum(rates[i]*width[i]) / sum(width[i]).
getTimeAverageRate() - Method in class jline.lang.processes.PHt: Completion rate of the time-averaged phase-type.
getTimeGrid() - Method in class jline.solvers.fluid.handlers.FluidRateMultiplier: The time grid of the multiplier trajectory.
getTimeoutSeconds() - Method in class jline.api.sym.SageRestEngine
getTimeSameClass() - Method in class jline.lang.nodes.Logger
getTimescale() - Method in class jline.lib.m3a.M3aFitOptions
getTimescaleAsy() - Method in class jline.lib.m3a.M3aFitOptions
getTimestamp() - Method in class jline.lang.nodes.Logger
GettingStarted - Class in jline.examples.java: Getting started examples
GettingStarted() - Constructor for class jline.examples.java.GettingStarted
GettingStartedTwins - Class in jline.examples.parity: Twins for the gettingstarted tutorials the JAR did not carry.
getTlower() - Method in class jline.solvers.NetworkBoundsTable: Returns the throughput lower bounds.
getTmin() - Method in class jline.lang.processes.ME.NegativeDensityScan
getTN() - Method in class jline.solvers.mam.handlers.MetricsResult
getTN() - Method in class jline.solvers.mam.MAMFJResult
getTN() - Method in class jline.solvers.ssa.handlers.SolverSSAResultNRM
getTol() - Method in class jline.api.nc.MeOqnOptions
getTotalCacheCapacity() - Method in class jline.lang.nodes.Cache: Gets the total capacity of the cache.
getTotalCapacity() - Method in class jline.lang.layered.CacheTask
getTotalDimension() - Method in class jline.opt.LineEvaluator
getTotalJobs() - Method in class jline.solvers.auto.ModelAnalyzer: Get total number of jobs in closed classes
getTotalMetricCount() - Method in class jline.streaming.MockOtlpReceiver: Gets the total number of metrics received across all requests.
getTotalTime() - Method in class jline.api.trace.CountStatistics
getTotalViolation() - Method in class jline.opt.results.OptimizationResult
getTput() - Method in class jline.solvers.LayeredNetworkAvgTable
getTput() - Method in class jline.solvers.NetworkAvgChainTable
getTput() - Method in class jline.solvers.NetworkAvgNodeChainTable
getTput() - Method in class jline.solvers.NetworkAvgNodeTable
getTput() - Method in class jline.solvers.NetworkAvgTable
getTput() - Method in class jline.solvers.NetworkLossTable
getTput(Node, JobClass) - Method in class jline.inference.lang.ParamEstimator
getTranAvg() - Method in class jline.solvers.auto.SolverAUTO
getTranAvg() - Method in class jline.solvers.fluid.SolverFluid: Computes transient average station metrics, tracking any non-homogeneous (NHPP) arrival intensity over the timespan.
getTranAvg() - Method in class jline.solvers.ldes.SolverLDES: Performs a transient analysis of the model using discrete event simulation.
getTranAvg() - Method in class jline.solvers.ln.SolverLN: Transient average station metrics of the layered network.
getTranAvg() - Method in class jline.solvers.mam.SolverMAM
getTranAvg() - Method in class jline.solvers.NetworkSolver: Computes transient average station metrics over the specified time interval.
getTranAvg() - Method in class jline.solvers.wrappers.jmt.SolverJMT: Computes transient average station metrics over the specified time interval.
getTranAvgCoupled() - Method in class jline.solvers.ln.SolverLN: Coupled layered transient by waveform relaxation over the LQN ensemble.
getTranAvgDecoupled() - Method in class jline.solvers.ln.SolverLN: Decoupled (frozen-demand) layered transient: the inter-layer demands stay pinned at the converged fixed point and each layer's transient runs in isolation.
getTranAvgQCov() - Method in class jline.solvers.fluid.SolverFluid: The transient state covariance AGGREGATED onto station-class pairs, one (M*K)-by-(M*K) matrix per point of the time grid, indexed ir = r*M + i.
getTranAvgVar() - Method in class jline.solvers.fluid.SolverFluid: Transient queue-length VARIANCE per station and class, [stations][classes].
getTranCdfPassT() - Method in class jline.solvers.auto.SolverAUTO
getTranCdfPassT() - Method in class jline.solvers.fluid.SolverFluid
getTranCdfPassT() - Method in class jline.solvers.ldes.SolverLDES: Returns cumulative distribution functions of passage times during transient analysis.
getTranCdfPassT() - Method in class jline.solvers.mam.SolverMAM: Returns cumulative distribution functions of passage times during transient analysis.
getTranCdfPassT() - Method in class jline.solvers.NetworkSolver: Returns cumulative distribution functions of passage times during transient analysis.
getTranCdfPassT() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getTranCdfPassT(AvgHandle) - Method in class jline.solvers.ldes.SolverLDES: Returns cumulative distribution functions of passage times during transient analysis.
getTranCdfPassT(AvgHandle) - Method in class jline.solvers.mam.SolverMAM: Returns cumulative distribution functions of passage times during transient analysis.
getTranCdfPassT(AvgHandle) - Method in class jline.solvers.NetworkSolver: Returns cumulative distribution functions of passage times during transient analysis.
getTranCdfPassT(AvgHandle) - Method in class jline.solvers.wrappers.jmt.SolverJMT
getTranCdfRespT() - Method in class jline.solvers.auto.SolverAUTO
getTranCdfRespT() - Method in class jline.solvers.ldes.SolverLDES: Returns cumulative distribution functions of response times during transient analysis.
getTranCdfRespT() - Method in class jline.solvers.NetworkSolver: Returns cumulative distribution functions of response times during transient analysis.
getTranCdfRespT() - Method in class jline.solvers.wrappers.jmt.SolverJMT
getTranCdfRespT(AvgHandle) - Method in class jline.solvers.ldes.SolverLDES: Returns cumulative distribution functions of response times during transient analysis.
getTranCdfRespT(AvgHandle) - Method in class jline.solvers.NetworkSolver: Returns cumulative distribution functions of response times during transient analysis.
getTranCdfRespT(AvgHandle) - Method in class jline.solvers.wrappers.jmt.SolverJMT
getTranHandles() - Method in class jline.lang.Network
getTranHandles() - Method in class jline.solvers.fluid.SolverFluid: Enhanced method to get transient handles with validation
getTranHandles() - Method in class jline.solvers.NetworkSolver: Returns the transient performance metric handles.
getTranProb(Node) - Method in class jline.solvers.auto.SolverAUTO
getTranProb(StatefulNode) - Method in class jline.solvers.ctmc.SolverCTMC
getTranProb(StatefulNode) - Method in class jline.solvers.ldes.SolverLDES: Computes transient state probabilities at a specific node over time using LDES simulation.
getTranProbAggr(Node) - Method in class jline.solvers.auto.SolverAUTO
getTranProbAggr(Node) - Method in class jline.solvers.wrappers.jmt.SolverJMT: Empirical transient probability of the per-class aggregate states at a station.
getTranProbAggr(StatefulNode) - Method in class jline.solvers.ctmc.SolverCTMC
getTranProbAggr(StatefulNode) - Method in class jline.solvers.ldes.SolverLDES: Computes transient aggregated state probabilities at a specific node over time.
getTranProbSys() - Method in class jline.solvers.auto.SolverAUTO
getTranProbSys() - Method in class jline.solvers.ctmc.SolverCTMC
getTranProbSys() - Method in class jline.solvers.ldes.SolverLDES: Computes transient system-wide state probabilities over time using LDES simulation.
getTranProbSysAggr() - Method in class jline.solvers.auto.SolverAUTO
getTranProbSysAggr() - Method in class jline.solvers.ctmc.SolverCTMC
getTranProbSysAggr() - Method in class jline.solvers.ldes.SolverLDES: Computes transient system-wide aggregated state probabilities over time.
getTranQLen() - Method in class jline.solvers.wrappers.jmt.SolverJMT: Returns transient queue length results from the last getTranAvg() call.
getTranQLenHandles() - Method in class jline.lang.Network
getTranQLenHandles() - Method in class jline.solvers.SolverTranHandles
getTranReward() - Method in class jline.solvers.ctmc.SolverCTMC: Get transient expected reward for all rewards.
getTranReward() - Method in class jline.solvers.ldes.SolverLDES: Transient reward trajectory for all reward functions.
getTranReward(String) - Method in class jline.solvers.ctmc.SolverCTMC: Get transient expected reward E[r(X(t))] over time.
getTranReward(String) - Method in class jline.solvers.ldes.SolverLDES: Single-run transient reward trajectory r(X(t)) recorded along the simulated path.
getTransition() - Method in class jline.lang.Mode
getTransitionMatrix() - Method in class jline.lang.processes.DMAP: Embedded chain P = (I - D0)^{-1} * D1.
getTransMat() - Method in class jline.lang.processes.MarkovChain: Get the transition matrix
getTransMat() - Method in class jline.solvers.ctmc.SolverCTMC
getTranTput() - Method in class jline.solvers.wrappers.jmt.SolverJMT: Returns transient throughput results from the last getTranAvg() call.
getTranTputHandles() - Method in class jline.lang.Network
getTranTputHandles() - Method in class jline.solvers.SolverTranHandles
getTranUtil() - Method in class jline.solvers.wrappers.jmt.SolverJMT: Returns transient utilization results from the last getTranAvg() call.
getTranUtilHandles() - Method in class jline.lang.Network
getTranUtilHandles() - Method in class jline.solvers.SolverTranHandles
getTruncError() - Method in class jline.api.qsys.QsysRetrialResult
getTruncLevel() - Method in class jline.api.qsys.QsysRetrialResult
getTt() - Method in class jline.solvers.mam.handlers.TransientResult
getTupper() - Method in class jline.solvers.NetworkBoundsTable: Returns the throughput upper bounds.
getTvec() - Method in class odesolver.LSODA
getType() - Method in class jline.inference.lang.SampledMetric
getType() - Method in class jline.io.ModelVisualizer.ModelEdge
getType() - Method in class jline.io.ModelVisualizer.ModelVertex
getType() - Method in class jline.lang.layered.Entry: Gets the type of this entry.
getTypeId(SchedStrategy) - Static method in enum jline.lang.constant.SchedStrategyType: Classifies a scheduling discipline by preemption behaviour and priority.
getTypeMatrix(int) - Method in class jline.lang.processes.MMAP: Get the D_k matrix for arrival type k
getTypes() - Method in class jline.io.Ret.mamMMAPSample
getU() - Method in class jline.api.mam.QbdMapMap1Result
getU() - Method in class jline.api.mam.QbdRapResult: Matrix U = A1 + A0*G.
getU() - Method in class jline.api.nc.MeGegecnResult: Utilization, E[min(n,c)]/c.
getU() - Method in class jline.api.nc.MeOqnBlkResult: Utilization at each station, a blocked server not counted as busy.
getU() - Method in class jline.api.pfqn.lcfs.LcfsqnMvaResult
getUN() - Method in class jline.api.mam.QbdMapMap1Result
getUN() - Method in class jline.api.mam.QbdRapRap1Result
getUN() - Method in class jline.solvers.mam.handlers.MetricsResult
getUN() - Method in class jline.solvers.mam.MAMFJResult
getUN() - Method in class jline.solvers.ssa.handlers.SolverSSAResultNRM
getUniform() - Method in class jline.api.fj.GKBoundResult
getUpdateStats(Matrix, Wf_pattern_updater.UpdatedWorkflow) - Static method in class jline.api.wf.Wf_pattern_updater
getUpperBound() - Method in class jline.api.fj.GKBoundResult
getUpperLimit() - Method in class jline.lang.Metric
getUQMethod() - Method in class jline.solvers.uq.SolverUQ: Resolve the discretization method from the solver options.
getUQNodes() - Method in class jline.solvers.uq.SolverUQ: Number of nodes per Prior, from options.samples (UQ.getUQNodes).
getUsedLangFeatures() - Method in class jline.lang.layered.LayeredNetwork
getUsedLangFeatures() - Method in class jline.lang.Network: Returns the language features used by the given network
getUt() - Method in class jline.solvers.mam.handlers.TransientResult
getUT() - Method in class jline.lib.smc.MG1DecayResult
getUtil() - Method in class jline.solvers.LayeredNetworkAvgTable
getUtil() - Method in class jline.solvers.NetworkAvgChainTable
getUtil() - Method in class jline.solvers.NetworkAvgNodeChainTable
getUtil() - Method in class jline.solvers.NetworkAvgNodeTable
getUtil() - Method in class jline.solvers.NetworkAvgTable: Returns the utilization values from the table.
getUtil(Node, JobClass) - Method in class jline.inference.lang.ParamEstimator
getUtilization() - Method in class jline.api.dqsys.GeoGeo1Result: Fraction of slots in which the server is serving, a/s in both conventions.
getUtilization() - Method in class jline.api.dqsys.GeoXGeo1Result: Fraction of slots in which the server is serving, lambda/s.
getUtilization() - Method in class jline.api.qsys.DmcResult
getUtilization() - Method in class jline.api.qsys.MDcCrommelinResult
getUtilization() - Method in class jline.api.qsys.PhM1Result
getUtilization() - Method in class jline.api.qsys.PhMcResult
getUtilization() - Method in class jline.api.qsys.QsysMapDcResult
getUtilization() - Method in class jline.api.qsys.QsysMapPhcResult
getUtilization() - Method in class jline.api.qsys.QsysMapPhResult
getUtilization() - Method in class jline.api.qsys.QsysMmapGk1Result
getUtilization() - Method in class jline.api.qsys.QsysRetrialResult
getUtilization() - Method in class jline.lib.qmam.DTQueueResult: Utilization, i.e.
getUtilization() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
getUtilization(int) - Method in class jline.api.mapqn.Mapqn_solution: Get utilization for queue i (1-based), aggregated over phases, as written by the QR bound models.
getUtilization(int, int) - Method in class jline.api.mapqn.Mapqn_solution
getUtilization(String) - Method in class jline.opt.results.EvaluationResult
getUtilizationMVA(int, int) - Method in class jline.api.mapqn.Mapqn_solution: Get utilization from the MVA-version model, which uses the UN_i_k naming convention (see Mapqn_bnd_lr_mva).
getUtilizationMVA(Mapqn_solution, int, int) - Static method in class jline.api.mapqn.Mapqn_bnd_lr_mva
getV() - Method in class jline.api.pfqn.lcfs.LcfsqnCaResult
getV() - Method in class jline.lib.smc.GIM1CaudalResult
getValue() - Method in enum jline.lang.constant.PollingType: Gets the numeric value of this polling type.
getValue() - Method in class jline.lib.perm.PermSolver
getValue() - Method in class jline.util.NamedParam: Returns the value of this named parameter.
getValueFunction() - Method in class jline.solvers.ctmc.analyzers.RewardResult
getVar() - Method in class jline.lang.processes.Bernoulli
getVar() - Method in class jline.lang.processes.Binomial
getVar() - Method in class jline.lang.processes.Coxian
getVar() - Method in class jline.lang.processes.Det: Gets the variance of this deterministic distribution.
getVar() - Method in class jline.lang.processes.Disabled
getVar() - Method in class jline.lang.processes.DiscreteUniform
getVar() - Method in class jline.lang.processes.Distribution: Gets the variance of this distribution.
getVar() - Method in class jline.lang.processes.DMAP: Variance: 2*pi*(I-D0)^{-2}*e - mean - mean^2
getVar() - Method in class jline.lang.processes.Erlang: Gets the variance of this Erlang distribution.
getVar() - Method in class jline.lang.processes.Exp: Gets the variance of this exponential distribution.
getVar() - Method in class jline.lang.processes.Gamma
getVar() - Method in class jline.lang.processes.Geometric
getVar() - Method in class jline.lang.processes.GMM
getVar() - Method in class jline.lang.processes.HyperExp
getVar() - Method in class jline.lang.processes.Immediate
getVar() - Method in class jline.lang.processes.Lognormal
getVar() - Method in class jline.lang.processes.MAP
getVar() - Method in class jline.lang.processes.MarkedMMPP
getVar() - Method in class jline.lang.processes.Markovian
getVar() - Method in class jline.lang.processes.ME: Gets the variance, m2 - m1^2 with m2 = 2*alpha*A^(-2)*e.
getVar() - Method in class jline.lang.processes.MMPP2
getVar() - Method in class jline.lang.processes.MultivariateNormal: Gets the variance of the first component.
getVar() - Method in class jline.lang.processes.Normal
getVar() - Method in class jline.lang.processes.Pareto
getVar() - Method in class jline.lang.processes.PH
getVar() - Method in class jline.lang.processes.Poisson
getVar() - Method in class jline.lang.processes.Replayer
getVar() - Method in class jline.lang.processes.Uniform
getVar() - Method in class jline.lang.processes.Weibull
getVarAoI() - Method in class jline.api.aoi.AoiResult
getVariable(String) - Method in class jline.api.mapqn.Mapqn_solution
getVariableIndex(String) - Method in class jline.api.mapqn.Mapqn_lpmodel: Get variable index by name
getVariableNames() - Method in class jline.opt.decomposition.SubProblem
getVariableNames() - Method in class jline.solvers.LayeredNetworkSensitivityTable: The names of every column of the table, the three name columns first: Layer, Station, JobClass, then the four numeric columns.
getVariableNames() - Method in class jline.solvers.NetworkMomentChainTable: The names of every column of the table, the two name columns first: Station, Chain, then the numeric columns that the requested moment orders selected.
getVariableNames() - Method in class jline.solvers.NetworkMomentStationTable: The names of every column of the table, the name column first: Station, then the numeric columns that the requested moment orders selected.
getVariableNames() - Method in class jline.solvers.NetworkMomentTable: The names of every column of the table, the two name columns first: Station, JobClass, then the numeric columns that the requested moment orders selected.
getVariableNames() - Method in class jline.solvers.NetworkSensitivityTable: The names of every column of the table, the two name columns first: Station, JobClass, then the four numeric columns.
getVariables() - Method in class jline.api.mapqn.Mapqn_solution
getVariables() - Method in class jline.opt.LineEvaluator
getVariables() - Method in class jline.opt.OptimizationProblem
getVariableType() - Method in class jline.opt.variables.ActivityThinkTime
getVariableType() - Method in class jline.opt.variables.ClassPriority
getVariableType() - Method in class jline.opt.variables.ClassServiceMapping
getVariableType() - Method in class jline.opt.variables.DecisionVariable: Type identifier used by decomposition and the gradient dispatcher.
getVariableType() - Method in class jline.opt.variables.HostDemand
getVariableType() - Method in class jline.opt.variables.JobPopulation
getVariableType() - Method in class jline.opt.variables.ProcessorMultiplicity
getVariableType() - Method in class jline.opt.variables.RoutingProbabilities
getVariableType() - Method in class jline.opt.variables.ServerAllocation
getVariableType() - Method in class jline.opt.variables.ServiceRate
getVariableType() - Method in class jline.opt.variables.StationReplicas
getVariableType() - Method in class jline.opt.variables.TaskMultiplicity
getVariableType() - Method in class jline.opt.variables.TaskReplication
getVariableType() - Method in class jline.opt.variables.TaskThinkTime
getVariableValue(String) - Method in class jline.opt.results.OptimizationResult
getVariance() - Method in class jline.api.trace.SingleClassCountStats
getVariance() - Method in class jline.lang.processes.Markovian
getVerbose() - Method in class jline.api.mam.LdqbdOptions
getVerbose() - Method in class jline.api.nc.MeOqnOptions
getVerbose() - Static method in class jline.GlobalConstants: Gets the current verbosity level.
getVerbose() - Method in class jline.lib.qmam.MAPDcOptions
getVerbose() - Method in class jline.lib.qmam.MAPMAP1Options
getVerbose() - Method in class jline.lib.qmam.MAPMcOptions
getVerbose() - Method in class jline.lib.qmam.MMAPKPHK1Options
getVerbose() - Method in class jline.lib.qmam.PHPH1Options
getVerbose() - Method in class jline.lib.smc.GIM1PiOptions
getVerbose() - Method in class jline.lib.smc.MG1CROptions
getVerbose() - Method in class jline.lib.smc.MG1FIOptions
getVerbose() - Method in class jline.lib.smc.MG1PiOptions
getVerbose() - Method in class jline.lib.smc.NSFGHTOptions
getVersion() - Static method in class jline.GlobalConstants: Gets the LINE solver version.
getVersion() - Method in class jline.lang.Model: Gets the LINE version associated with this model.
getVertexOutlineTransformer() - Method in class jline.io.ModelVisualizer: Returns a transformer for vertex outline colors.
getVertexPaintTransformer(ModelVisualizer.ModelVertex[], int[]) - Method in class jline.io.ModelVisualizer: Returns a transformer for vertex fill colors based on color theme.
getVertexShapeTransformer() - Method in class jline.io.ModelVisualizer: Returns a transformer for vertex shapes based on node type.
getVmax() - Method in class jline.api.fj.FJ_xmax.FJXmaxNormalResult
getW() - Method in class jline.api.nc.MeCqnResult
getW() - Method in class jline.api.nc.MeOqnBlkResult: Mean response time at each station.
getW() - Method in class jline.api.nc.MeOqnResult
getWait_alpha() - Method in class jline.lib.fjcodes.ReturnWaitResult
getWait_Smat() - Method in class jline.lib.fjcodes.ReturnWaitResult
getWaitAlpha() - Method in class jline.lib.qmam.MAPMAP1Result
getWaitAlpha() - Method in class jline.lib.qmam.MAPMcResult
getWaitAlpha() - Method in class jline.lib.qmam.MMAPKPHK1Result
getWaitAlpha() - Method in class jline.lib.qmam.PHPH1Result
getWaitCDF() - Method in class jline.api.qsys.QsysMmapGk1Result
getWaitingTime() - Method in class jline.lib.qmam.MAPDcResult
getWaitingTimeCCDF() - Method in class jline.api.qsys.QsysMapPhcResult
getWaitingTimeDist() - Method in class jline.api.qsys.QsysMapDcResult
getWaitingTimeMoments() - Method in class jline.api.qsys.QsysMapPhcResult
getWaitingTimePoints() - Method in class jline.api.qsys.QsysMapPhcResult
getWaitMoments() - Method in class jline.api.qsys.QsysMmapGk1Result
getWaitPoints() - Method in class jline.api.qsys.QsysMmapGk1Result
getWaitT() - Method in class jline.lib.qmam.PHPH1Result
getWCC() - Method in class jline.util.graph.UndirectedGraph
getweight(double[], int) - Static method in class jline.lib.lti.laguerre
getWeight() - Method in class jline.lang.Graph.Edge
getWeight() - Method in class jline.lang.ModeEvent
getWeights() - Method in class jline.lang.processes.GMM
getWindowSize() - Method in class jline.api.trace.CountStatistics
getWorkflow() - Method in class jline.lang.workflow.WorkflowActivity
getWorkflowFeatures() - Method in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
getWorkspaceDirectory() - Static method in class jline.util.MatFileUtils: The directory the keep option writes its .mat workspaces to.
getX() - Method in class jline.api.cache.CacheRrmMeanfieldResult
getX() - Method in class jline.api.nc.MeCqnResult
getX() - Method in class jline.lib.butools.trace.CdfFromTrace.CdfResult
getX() - Method in class jline.solvers.ag.handlers.INAPResult
getX0() - Method in class jline.lib.rmf.CacheRMF
getXi() - Method in class jline.lib.perm.SaddlePointPermanent: Saddle point, unit geometric mean, zero on a column of multiplicity zero.
getXmax() - Method in class jline.api.fj.FJ_xmax.FJXmaxNormalResult
getXmax() - Method in class jline.api.fj.FJ_xmax.FJXmaxParetoResult
getXN() - Method in class jline.api.mam.QbdMapMap1Result
getXN() - Method in class jline.api.mam.QbdRapRap1Result
getXN() - Method in class jline.solvers.mam.handlers.MetricsResult
getXN() - Method in class jline.solvers.mam.MAMFJResult
getXN() - Method in class jline.solvers.ssa.handlers.SolverSSAResultNRM
getXss() - Method in class jline.api.cache.CacheMissFpiResult
getXVecIt() - Method in class jline.solvers.fluid.analyzers.ClosingAndStateDepMethodsAnalyzer
getXVecIt() - Method in class jline.solvers.fluid.analyzers.DiffusionAnalyzer
getXVecIt() - Method in interface jline.solvers.fluid.analyzers.FluidAnalyzer
getXVecIt() - Method in class jline.solvers.fluid.analyzers.KoPenderAnalyzer
getXVecIt() - Method in class jline.solvers.fluid.analyzers.MatrixMethodAnalyzer
getXVecIt() - Method in class jline.solvers.fluid.analyzers.MFQAnalyzer
getXVecIt() - Method in class jline.solvers.fluid.analyzers.QsysLimitAnalyzer
getXVecIt() - Method in class jline.solvers.fluid.analyzers.RMFAnalyzer
getY() - Method in class jline.lib.butools.trace.CdfFromTrace.CdfResult
getY() - Method in class jline.lib.ode.RKF45Result
getYp() - Method in class jline.lib.ode.RKF45Result
getYvec() - Method in class odesolver.LSODA
getZero() - Static method in class jline.GlobalConstants: Gets the zero threshold value.
gim1_caudal(Matrix) - Static method in class jline.lib.smc.GIM1_Caudal
gim1_caudal(Matrix, boolean) - Static method in class jline.lib.smc.GIM1_Caudal
gim1_caudal(Matrix, boolean, boolean) - Static method in class jline.lib.smc.GIM1_Caudal: Computes the dominant eigenvalue of the R matrix for GI/M/1-type chains.
GIM1_Caudal - Class in jline.lib.smc
GIM1_ETAQA - Class in jline.lib.smc
gim1_pi(Matrix, Matrix) - Static method in class jline.lib.smc.GIM1_pi
gim1_pi(Matrix, Matrix, GIM1PiOptions) - Static method in class jline.lib.smc.GIM1_pi: Computes the stationary distribution of a GI/M/1-type Markov chain.
GIM1_pi - Class in jline.lib.smc
gim1_pi_etaqa(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.smc.GIM1_ETAQA: Aggregated stationary vector [pi0, pi1, pi2+pi3+...] of a GI/M/1-type chain.
gim1_qlen_etaqa(Matrix, Matrix, Matrix, Matrix, int, Matrix) - Static method in class jline.lib.smc.GIM1_ETAQA: n-th moment of the level of a GI/M/1-type chain from the ETAQA aggregates.
gim1_R(Matrix) - Static method in class jline.lib.smc.GIM1_R
gim1_R(Matrix, GIM1_R.GIM1ROptions) - Static method in class jline.lib.smc.GIM1_R: Computes the R matrix for a GI/M/1-type Markov chain.
GIM1_R - Class in jline.lib.smc
gim1_R_dual(Matrix, String, String) - Static method in class jline.lib.smc.GIM1_R: R of a GI/M/1-type chain through the G of its DUAL.
gim1_r_etaqa(Matrix) - Static method in class jline.lib.smc.GIM1_ETAQA: R of a GI/M/1-type chain, uniformized first.
GIM1_R.GIM1ROptions - Class in jline.lib.smc: Options for GIM1_R solver
GIM1CaudalResult - Class in jline.lib.smc: Result of GIM1 Caudal computation.
GIM1CaudalResult(double, Matrix) - Constructor for class jline.lib.smc.GIM1CaudalResult
GIM1PiOptions - Class in jline.lib.smc: Options for GIM1_pi solver.
GIM1PiOptions() - Constructor for class jline.lib.smc.GIM1PiOptions
GIM1PiOptions(Matrix, int, int) - Constructor for class jline.lib.smc.GIM1PiOptions
GIM1ROptions() - Constructor for class jline.lib.smc.GIM1_R.GIM1ROptions
GIM1ROptions(String, int, int) - Constructor for class jline.lib.smc.GIM1_R.GIM1ROptions
GKBoundResult - Class in jline.api.fj: Result container for G(K) bound factors.
GKBoundResult(int, double, double, double, double) - Constructor for class jline.api.fj.GKBoundResult
GlobalConstants - Class in jline: Global constants for tolerances and solver configuration.
GlobalConstants - Class in jline.lang: Global constants and settings for LINE solver.
GlobalConstants() - Constructor for class jline.GlobalConstants
GlobalConstants() - Constructor for class jline.lang.GlobalConstants
globalMissRate - Variable in class jline.api.cache.Cache_miss.CacheMissResult
GlobalSync - Class in jline.lang: Class representing a global synchronization event with active and passive participants
GlobalSync() - Constructor for class jline.lang.GlobalSync
GlobalSync(List<ModeEvent>, List<ModeEvent>) - Constructor for class jline.lang.GlobalSync
gm1FundamentalMatrix(List<Matrix>) - Static method in class jline.lib.butools.mam.GM1FundamentalMatrix
gm1FundamentalMatrix(List<Matrix>, double) - Static method in class jline.lib.butools.mam.GM1FundamentalMatrix
gm1FundamentalMatrix(List<Matrix>, double, int) - Static method in class jline.lib.butools.mam.GM1FundamentalMatrix
gm1FundamentalMatrix(List<Matrix>, double, int, GM1FundamentalMatrix.GM1Method) - Static method in class jline.lib.butools.mam.GM1FundamentalMatrix: Returns matrix R corresponding to the G/M/1 type Markov chain given by matrices A.
GM1FundamentalMatrix - Class in jline.lib.butools.mam
GM1FundamentalMatrix.GM1Method - Enum in jline.lib.butools.mam: Method for solving G/M/1 type matrix equation.
gm1StationaryDistr(List<Matrix>, Matrix, int) - Static method in class jline.lib.butools.mam.GM1StationaryDistr: Returns the stationary distribution of the G/M/1 type Markov chain up to a given level K.
gm1StationaryDistr(Matrix[], Matrix, int) - Static method in class jline.lib.butools.mam.GM1StationaryDistr: Overload accepting Matrix[].
GM1StationaryDistr - Class in jline.lib.butools.mam
GMM - Class in jline.lang.processes: A Gaussian Mixture Model (GMM) distribution.
GMM(double[], double[], double[]) - Constructor for class jline.lang.processes.GMM: Creates a GMM with specified components.
gmmMax(GMM) - Static method in class jline.util.GMMUtils: Calculates the maximum value with high probability (99.999 percentile).
gmmMeanMax(GMM, int) - Static method in class jline.util.GMMUtils: Calculates the mean of the maximum of k independent samples from the GMM.
gmmMeanMin(GMM, int) - Static method in class jline.util.GMMUtils: Calculates the mean of the minimum of k independent samples from the GMM.
gmmMedian(GMM) - Static method in class jline.util.GMMUtils: Calculates the median (50th percentile).
gmmMin(GMM) - Static method in class jline.util.GMMUtils: Calculates the minimum value with high probability (0.001 percentile).
gmmPercentile(GMM, double) - Static method in class jline.util.GMMUtils: Calculates the specified percentile of the GMM distribution.
GMMUtils - Class in jline.util: Utility functions for Gaussian Mixture Model operations.
GMMUtils() - Constructor for class jline.util.GMMUtils
gmmVarMax(GMM, int) - Static method in class jline.util.GMMUtils: Calculates the variance of the maximum of k independent samples from the GMM.
gmmVarMin(GMM, int) - Static method in class jline.util.GMMUtils: Calculates the variance of the minimum of k independent samples from the GMM.
GMRES_DEFAULT_RESTART - Static variable in class jline.api.mc.Ctmc_gmres: Default Krylov subspace dimension between restarts.
GMRES_DEFAULT_TOL - Static variable in class jline.api.mc.Ctmc_gmres: Default linear-solve residual.
GMRES_MIN_STATES - Static variable in class jline.api.mc.Ctmc_solve: Order above which the direct sparse factorization is abandoned in favour of GMRES.
gmres_restart - Variable in class jline.solvers.SolverOptions.Config: Krylov subspace dimension between restarts for the GMRES path in ctmc_solve.
GN - Variable in class jline.io.Ret.pfqnComomrmLd
gNetwork() - Static method in class jline.examples.java.advanced.AgentModel: Creates a G-network (Gelenbe network) with negative customers.
goldenSectionSearch(Function<Double, Double>, double, double) - Static method in class jline.util.Maths: Golden section search with default tolerance.
goldenSectionSearch(Function<Double, Double>, double, double, double) - Static method in class jline.util.Maths: Golden section search for finding the minimum of a unimodal function.
gpcdf(double, double, double, double) - Static method in class jline.lang.processes.Pareto
GPS - Enum constant in enum jline.lang.constant.SchedStrategy: Generalized Processor Sharing - minimum service guarantee with work-conserving
GPSPRIO - Enum constant in enum jline.lang.constant.SchedStrategy: Generalized PS with Priorities - GPS within priority levels
gpsShare(Matrix, Matrix, Matrix, boolean) - Static method in class jline.solvers.fluid.moments.FluidClosures: Expected capacity share of a GPS station under a normal marginal, mirroring MATLAB fluid_gps_share.
gradientRestarts - Variable in class jline.opt.solver.LineOptSolverOptions
graph - Variable in class jline.lang.layered.LayeredNetworkStruct
Graph - Class in jline.lang: A lightweight directed-graph view of a Network topology, returned by Network.getGraph().
Graph(List<String>, List<Graph.Edge>) - Constructor for class jline.lang.Graph
Graph.Edge - Class in jline.lang: A directed edge between two nodes for a given job class.
grepeated(double[], double, int, double) - Static method in class jline.api.pfqn.nc.Pfqn_explicit: Eq.
grid - Variable in class jline.api.fes.FesMapAggregateResult: Populations at which the inter-departure MAP was evaluated.
grnmol(Function<double[], Double>, double[][], int, double) - Static method in class jline.util.Maths: Grundmann-Moeller simplex integration
group - Variable in class jline.examples.parity.ParityExample
Group() - Constructor for class jline.api.lqn.LqnRefRoutes.Group
groups - Variable in class jline.api.lqn.LqnRefRoutes.Result: One element per reference task reaching the callers; empty when why is non-empty.
growMaxColumns(int, boolean) - Method in class jline.util.matrix.Matrix: Increases the internal column capacity of the matrix.
growMaxLength(int, boolean) - Method in class jline.util.matrix.Matrix: Increases the internal non-zero element capacity of the matrix.
GRPC - Enum constant in enum jline.streaming.StreamingOptions.TransportType: gRPC transport using OTLP protocol (may not work in all JVM environments)
gsync - Variable in class jline.lang.NetworkStruct
Gtab - Variable in class jline.io.Ret.pfqnOiNc: The WHOLE lattice of normalizing constants, Gtab[dot(n, strides)] = G(n) for every 0 <= n <= N, column-major with strides = [1, cumprod(N[0..R-2] + 1)].
Guard - Enum constant in enum jline.lang.constant.JoinStrategy

H

h - Variable in class jline.io.Ret.cacheGamma
h - Variable in class jline.solvers.fluid.petri.PetriClosures.MinMulti: E[min(X_1,...,X_A,c)].
h - Variable in class jline.util.ode.Rodas.Result
H - Variable in class jline.api.infer.InferLqn.JacobianResult
H - Variable in class jline.util.Maths.laplaceApproxComplexReturn
H - Variable in class jline.util.Maths.laplaceApproxReturn
h0 - Variable in class jline.api.infer.InferLqn.JacobianResult
hadamard(Matrix) - Method in class jline.util.matrix.Matrix: Performs the Hadamard (element-wise) product of two matrices.
halfwidth - Variable in class jline.api.sim.QuantileCIResult: Half of the interval width; the asymmetric fallback attains it only on average.
handle - Variable in class jline.io.Ret.SampleResult: Handle or identifier for the sampling method used.
handle - Variable in class jline.solvers.ctmc.SolverCTMC.SampleResult
handle - Variable in class jline.solvers.ssa.SampleNodeState: The node that was sampled
handle - Variable in class jline.solvers.ssa.SampleSysState: List of stateful nodes that were sampled
handleEnableEvent(NetworkStruct, int, GlobalSync, List<Matrix>, List<Matrix>, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, int, TransitionNodeParam, int) - Static method in class jline.lang.state.State: Handles ENABLE events for transitions in Stochastic Petri Net (SPN) event processing.
handleFireEvent(NetworkStruct, int, GlobalSync, List<Matrix>, List<Matrix>, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, int, TransitionNodeParam, int, boolean) - Static method in class jline.lang.state.State: Handles FIRE events for transitions in Stochastic Petri Net (SPN) event processing.
handles(String) - Static method in class jline.solvers.fluid.analyzers.QsysLimitAnalyzer: The method names this analyzer answers.
handleSignalArrival(NetworkStruct, int, int, Matrix, int, boolean, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lang.state.SignalRemoval: Passive arrival of a G-network signal class at station ist.
handleSolveCommand(String[]) - Static method in class jline.cli.LdesCLI: Handles the 'solve' command for LDES simulation.
handleStep(StepInterpolator, boolean) - Method in class jline.solvers.fluid.handlers.MethodStepHandler
handleStep(StepInterpolator, boolean) - Method in class jline.solvers.fluid.handlers.TransientDataHandler: Handles each integration step by storing the time and state vector data.
hankelMomsFromMoms(Matrix) - Static method in class jline.lib.butools.HankelMomsFromMoms: Returns the Hankel moments given the raw moments.
HankelMomsFromMoms - Class in jline.lib.butools
has(String) - Method in class jline.lang.ModelAttribute: Tests whether a metadata field is set.
hasAvgResults() - Method in class jline.solvers.NetworkSolver: Checks if the solver has computed steady-state average metrics.
hasAvgResults() - Method in class jline.solvers.wrappers.jmt.SolverJMT
hasBalking() - Method in class jline.lang.JobClass: Checks if this job class has balking configured.
hasBalking(JobClass) - Method in class jline.lang.nodes.Station: Checks if balking is configured for a job class (local or global).
hasBalkingLocal(JobClass) - Method in class jline.lang.nodes.Station: Checks if balking is configured locally at this station.
hasBoundedBuffer(NetworkStruct, int) - Static method in class jline.solvers.NetworkSolver
hasbreakdown - Variable in class jline.lang.NetworkStruct: (nnodes x 1) 1 iff the node's server is subject to breakdowns.
hasBreakdown() - Method in class jline.lang.nodes.Queue: Whether this station is subject to server breakdowns.
hasCdf(int, int) - Method in class jline.io.Ret.DistributionResult: Checks if the CDF data is available for a specific station and class.
hasClasses() - Method in class jline.lang.Network: Checks if this network has any job classes defined.
hasClassSwitching() - Method in class jline.lang.Network
hasClassSwitching() - Method in class jline.lang.nodes.Node: Checks whether this node switches the class of the jobs traversing it.
hasClassSwitching() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has class switching
hasClosedClasses() - Method in class jline.lang.Network: Checks if this network contains any closed job classes.
hasClosedClasses() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has closed classes
hasColumn(String) - Method in class jline.solvers.NetworkMomentChainTable: Whether a numeric column is present, i.e.
hasColumn(String) - Method in class jline.solvers.NetworkMomentStationTable: Whether a numeric column is present, i.e.
hasColumn(String) - Method in class jline.solvers.NetworkMomentTable: Whether a numeric column is present, i.e.
hasCompatibleClasses() - Method in class jline.lang.constant.ServerType: Checks if this server type has any compatible classes defined.
hasContinuous - Variable in class jline.api.sn.SnIsDiscreteTime.Result
hasconverged - Variable in class jline.solvers.ln.SolverLN
hasDistribResults() - Method in class jline.solvers.NetworkSolver: Checks if the solver has computed steady-state distribution metrics.
hasDistribution() - Method in class jline.solvers.mva.ProbabilityResult: Check if this result contains a probability distribution (vs scalar).
hasDmap - Variable in class jline.api.sn.SnIsDiscreteTime.Result
hasDPS() - Method in class jline.lang.Network
hasDPSPrio() - Method in class jline.lang.Network
hasDuplicates() - Method in class jline.util.matrix.BaseMatrix: Checks if the matrix contains duplicate values.
hasDuplicates() - Method in class jline.util.matrix.DenseMatrix
hasDuplicates() - Method in class jline.util.matrix.Matrix
hasDuplicates() - Method in class jline.util.matrix.SparseMatrix: Checks if the matrix contains duplicate values.
hasExistingLoggers() - Method in class jline.lang.Network: Check if the network contains any Logger nodes
hasFCFS() - Method in class jline.lang.Network
hasFCFS() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has FCFS scheduling
hasFinite() - Method in class jline.util.matrix.BaseMatrix: Checks if the matrix contains any finite (non-infinite, non-NaN) values.
hasFinite() - Method in class jline.util.matrix.DenseMatrix
hasFinite() - Method in class jline.util.matrix.Matrix
hasFinite() - Method in class jline.util.matrix.SparseMatrix: Checks if the matrix contains any finite (non-infinite, non-NaN) values.
hasFiniteCap() - Method in class jline.lang.nodes.Station: Whether this station has a real, bounded buffer.
hasFork() - Method in class jline.lang.Network
hasForkJoin() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has fork-join
hasGPS() - Method in class jline.lang.Network
hasGPSPrio() - Method in class jline.lang.Network
hashCode() - Method in class jline.api.aoi.Aoi_dist2phResult
hashCode() - Method in class jline.api.aoi.AoiLstResult
hashCode() - Method in class jline.api.aoi.AoiMfqResult
hashCode() - Method in class jline.api.aoi.AoiParams
hashCode() - Method in class jline.api.aoi.AoiResult
hashCode() - Method in class jline.api.aoi.AoiValidationResult
hashCode() - Method in class jline.api.fes.FESDeaggInfo
hashCode() - Method in class jline.api.fes.FESOptions
hashCode() - Method in class jline.api.fes.FESResult
hashCode() - Method in class jline.api.fj.CharMaxResult
hashCode() - Method in class jline.api.fj.FJ_bounds.FJBoundsResult
hashCode() - Method in class jline.api.fj.FJInfo
hashCode() - Method in class jline.api.fj.GKBoundResult
hashCode() - Method in class jline.api.mam.BmapSample
hashCode() - Method in class jline.api.mam.Qbd_rg.QbdRgResult
hashCode() - Method in class jline.api.mam.QbdMapMap1Result
hashCode() - Method in class jline.api.mam.QbdRapRap1Result
hashCode() - Method in class jline.api.mam.QbdRapResult
hashCode() - Method in class jline.api.mc.Dtmc_uniformization.DtmcUniformizationResult
hashCode() - Method in class jline.api.nc.MeGegecnResult
hashCode() - Method in class jline.api.nc.MeOqnBlkResult
hashCode() - Method in class jline.api.nc.MeOqnOptions
hashCode() - Method in class jline.api.nc.MeOqnResult
hashCode() - Method in class jline.api.pfqn.mva.Pfqn_sqni.PfqnSqniResult
hashCode() - Method in class jline.api.pfqn.PfqnUniqueResult
hashCode() - Method in class jline.api.qsys.DmcResult
hashCode() - Method in class jline.api.qsys.MDcCrommelinResult
hashCode() - Method in class jline.api.qsys.PhM1Result
hashCode() - Method in class jline.api.qsys.PhMcResult
hashCode() - Method in class jline.api.qsys.QsysMapDcResult
hashCode() - Method in class jline.api.qsys.QsysMapPhResult
hashCode() - Method in class jline.api.qsys.RetrialInfo
hashCode() - Method in class jline.api.trace.CountStatistics
hashCode() - Method in class jline.api.trace.SingleClassCountStats
hashCode() - Method in class jline.inference.lang.ConditionEvent
hashCode() - Method in class jline.io.ModelVisualizer.ModelEdge
hashCode() - Method in class jline.io.ModelVisualizer.ModelVertex
hashCode() - Method in class jline.io.Ret.FJAuxClassKey
hashCode() - Method in class jline.io.Ret.pfqnGldIndex
hashCode() - Method in class jline.lang.nodes.Cache.PopularityKey
hashCode() - Method in class jline.lang.processes.DMAP
hashCode() - Method in class jline.lang.processes.MAP: Returns the hash code for this MAP process.
hashCode() - Method in class jline.lang.processes.MMPP2: Returns the hash code for this MMPP2 process.
hashCode() - Method in class jline.lang.state.EventCacheKey
hashCode() - Method in class jline.lib.butools.dph.CanonicalFromDPH2.DPH2Representation
hashCode() - Method in class jline.lib.butools.dph.MGFromMoments.MGRepresentation
hashCode() - Method in class jline.lib.butools.mam.GeneralFluidSolution
hashCode() - Method in class jline.lib.butools.map.MAPRepresentation
hashCode() - Method in class jline.lib.butools.ph.MERepresentation
hashCode() - Method in class jline.lib.butools.ph.PH2From3Moments.PH2Representation
hashCode() - Method in class jline.lib.butools.ph.PH3Representation
hashCode() - Method in class jline.lib.butools.ph.PHRepresentation
hashCode() - Method in class jline.lib.butools.queues.FluFluResult
hashCode() - Method in class jline.lib.butools.reptrans.MarkovianRepresentation
hashCode() - Method in class jline.lib.fjcodes.ComputeT.ComputeTResult
hashCode() - Method in class jline.lib.fjcodes.FJArrival
hashCode() - Method in class jline.lib.fjcodes.FJService
hashCode() - Method in class jline.lib.fjcodes.FJServiceH
hashCode() - Method in class jline.lib.fjcodes.GenerateServiceResult
hashCode() - Method in class jline.lib.fjcodes.MainFJ.FJPercentileResult
hashCode() - Method in class jline.lib.fjcodes.SAResult
hashCode() - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
hashCode() - Method in class jline.lib.kpctoolbox.mc.CTMC.ConnectedComponents
hashCode() - Method in class jline.lib.kpctoolbox.mc.CTMC.CTMCSolveResult
hashCode() - Method in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
hashCode() - Method in class jline.lib.m3a.M3aCompressOptions
hashCode() - Method in class jline.lib.m3a.M3aFitOptions
hashCode() - Method in class jline.lib.m3a.MTrace
hashCode() - Method in class jline.lib.ode.RKF45Result
hashCode() - Method in class jline.lib.qmam.DTQueueResult
hashCode() - Method in class jline.lib.qmam.MAPMAP1Options
hashCode() - Method in class jline.lib.qmam.MAPMAP1Result
hashCode() - Method in class jline.lib.qmam.PHPH1Options
hashCode() - Method in class jline.lib.qmam.PHPH1Result
hashCode() - Method in class jline.lib.qmam.Q_RAP_RAP_1.RAPRAP1Result
hashCode() - Method in class jline.lib.smc.GIM1CaudalResult
hashCode() - Method in class jline.lib.smc.GIM1PiOptions
hashCode() - Method in class jline.lib.smc.MG1DecayResult
hashCode() - Method in class jline.lib.smc.MG1FIOptions
hashCode() - Method in class jline.lib.smc.Quadruple
hashCode() - Method in class jline.solvers.ag.handlers.INAPResult
hashCode() - Method in class jline.solvers.ctmc.analyzers.RewardResult
hashCode() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
hashCode() - Method in class jline.solvers.mam.handlers.TransientResult
hashCode() - Method in class jline.solvers.mam.MAMFJResult
hashCode() - Method in class jline.util.matrix.Matrix: Generates a hash code for the matrix based on its values.
hashCode() - Method in class jline.util.Pair
hashCode() - Method in class jline.util.symbolic.SymExpr
hashCode() - Method in class jline.util.Triple
hashid - Variable in class jline.io.Ret.getHashOrAddResult
hashnames - Variable in class jline.lang.layered.LayeredNetworkStruct
hasHOL() - Method in class jline.lang.Network
hasHomogeneousScheduling(SchedStrategy) - Method in class jline.lang.Network
hasHomogeneousScheduling(SchedStrategy) - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has homogeneous scheduling (all stations use the given strategy)
hashpop(Matrix, Matrix) - Static method in class jline.util.PopulationLattice: Computes a hash index for a population vector within a lattice.
hashpop(Matrix, Matrix, int, Matrix) - Static method in class jline.util.PopulationLattice: Computes a hash index for a population vector using precomputed products.
hasImmediateFeedback() - Method in class jline.lang.JobClass: Checks if immediate feedback is enabled for this job class.
hasImmediateFeedback() - Method in class jline.lang.nodes.Queue: Checks if immediate feedback is enabled for any class at this queue.
hasImmediateFeedback(int) - Method in class jline.lang.nodes.Queue: Checks if immediate feedback is enabled for a specific class at this queue.
hasINF() - Method in class jline.lang.Network
hasInfinite() - Method in class jline.util.matrix.BaseMatrix: Checks if the matrix contains any infinite values.
hasInfinite() - Method in class jline.util.matrix.DenseMatrix
hasInfinite() - Method in class jline.util.matrix.Matrix
hasInfinite() - Method in class jline.util.matrix.SparseMatrix: Checks if the matrix contains any infinite values.
hasInitState() - Method in class jline.lang.Network
hasJava() - Static method in class jline.solvers.wrappers.jmt.JmtBackend: Reports whether a JVM is on the path.
hasJoin() - Method in class jline.lang.Network
hasLattice - Variable in class jline.api.sn.SnIsDiscreteTime.Result
hasLCFS() - Method in class jline.lang.Network
hasLCFSPR() - Method in class jline.lang.Network
hasLEPT() - Method in class jline.lang.Network
hasLinearConstraints() - Method in class jline.lang.layered.LayeredNetworkElement: Whether this element declares any admission constraint, in either form.
hasLinearConstraints() - Method in class jline.lang.Region: Checks whether linear constraints have been set.
hasLJF() - Method in class jline.lang.Network
hasLLD - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
hasLoadDependence() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has load-dependent stations
hasLocalImage(String) - Static method in class jline.io.DockerImage: True if the named image is already present in the local Docker store.
hasMetadata() - Method in class jline.lang.workflow.WorkflowActivity: Check if metadata is present.
hasMetric(Station, JobClass) - Method in class jline.solvers.AvgHandle: Checks if a metric exists for the specified station and job class.
hasModel(String) - Static method in class jline.unified.ModelRegistry: Check if a model is registered
hasMultiChain() - Method in class jline.lang.Network
hasMultiChain() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has multiple chains
hasMultiClass() - Method in class jline.lang.Network
hasMultiClassFCFS() - Method in class jline.lang.Network
hasMultiClassHeterFCFS() - Method in class jline.lang.Network
hasMultipleFinite() - Method in class jline.util.matrix.BaseMatrix: Checks if more than one finite value exists.
hasMultipleFinite() - Method in class jline.util.matrix.DenseMatrix
hasMultipleFinite() - Method in class jline.util.matrix.Matrix
hasMultipleFinite() - Method in class jline.util.matrix.SparseMatrix: Checks if more than one finite value exists.
hasMultiServer() - Method in class jline.lang.Network
hasMultiServer() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has multi-server stations
hasNaN() - Method in class jline.util.matrix.BaseMatrix: Checks if the matrix contains any NaN values.
hasNaN() - Method in class jline.util.matrix.DenseMatrix
hasNaN() - Method in class jline.util.matrix.Matrix
hasNaN() - Method in class jline.util.matrix.SparseMatrix: Checks if the matrix contains any NaN values.
hasNativeLqns() - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: True if a native lqns binary is available on the PATH.
hasNativeQNSolver() - Static method in class jline.solvers.wrappers.lqns.qnsolver.Solver_qns_analyzer: Check if a native qnsolver binary is available on the PATH.
hasNonZeros() - Method in class jline.util.matrix.ColumnView: Checks if this column has any non-zero elements.
hasNonZeros() - Method in class jline.util.matrix.RowView: Checks if this row has any non-zero elements.
hasOnlyInfiniteServers() - Method in class jline.solvers.auto.ModelAnalyzer: Check if all stations are infinite servers
hasOpenClasses() - Method in class jline.lang.Network: Checks if this network contains any open job classes.
hasOpenClasses() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has open classes
hasOrbitImpatience(JobClass) - Method in class jline.lang.nodes.Station: Checks if orbit impatience is configured for a job class.
hasParam(int) - Method in class jline.lang.processes.Distribution: Tests whether a parameter has been set at the given position, i.e.
hasPatience() - Method in class jline.lang.JobClass: Checks if this job class has a patience distribution configured.
hasPatience(JobClass) - Method in class jline.lang.nodes.Station: Checks if patience is configured for a job class (local or global).
hasPatienceLocal(JobClass) - Method in class jline.lang.nodes.Station: Checks if patience is configured locally at this station.
hasPhase2 - Variable in class jline.solvers.ln.SolverLN
hasPriorDistribution() - Method in class jline.solvers.uq.SolverUQ: Checks if the model has a Prior distribution.
hasPriorities() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has priorities
hasProductForm() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has product form
hasProductFormSolution() - Method in class jline.lang.Network: Checks if this network has a product-form solution.
hasPS() - Method in class jline.lang.Network
hasPSorPSPRIO() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has PS or PSPRIO scheduling
hasPSPrio() - Method in class jline.lang.Network
hasQlen() - Method in class jline.solvers.NetworkMomentResult: Whether a queue-length recursion was run, i.e.
hasQnsolver() - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: True if a native qnsolver binary is on the PATH (the qns methods on a Network).
hasRateDependence() - Method in class jline.lang.layered.LayeredNetworkElement: Whether this element declares any service-rate dependence.
hasReceivedMetric(String) - Method in class jline.streaming.MockOtlpReceiver: Checks if a specific metric type was received.
hasReneging(NetworkStruct, int) - Static method in class jline.solvers.NetworkSolver: Whether any class at station i declares reneging, i.e.
hasReplicableItems() - Method in class jline.lang.ItemSet
hasResults() - Method in class jline.solvers.Solver: Checks if the solver has computed results.
hasRetrial() - Method in class jline.lang.JobClass: Checks if this job class has retrial configured.
hasRetrial(JobClass) - Method in class jline.lang.nodes.Station: Checks if retrial is configured for a job class (local or global).
hasRetrialLocal(JobClass) - Method in class jline.lang.nodes.Station: Checks if retrial is configured locally at this station.
hasretrieval - Variable in class jline.lang.layered.LayeredNetworkStruct
hasRetrieval() - Method in class jline.lang.layered.CacheTask
hasRetrievalCache(NetworkStruct) - Static method in class jline.solvers.nc.SolverNC: True if the model contains a Cache equipped with a delayed-hit retrieval system.
hasRewards() - Method in class jline.lang.Network: Check if any rewards are defined.
hasSEPT() - Method in class jline.lang.Network
hasServerParallelism() - Method in class jline.lang.nodes.Queue: Checks whether some class seizes more than one server.
hasServerPools() - Method in class jline.lang.layered.LayeredNetworkElement: Whether this element declares compatibility pools.
hassetup - Variable in class jline.lang.layered.LayeredNetworkStruct
hassetup - Variable in class jline.lang.NetworkStruct: Station-indexed mask of queue stations carrying setup/delay-off times (function stations), as in MATLAB refreshStruct.m.
hasSetup - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld: The station alternates OFF -> setup -> busy -> delay-off around the service, so the chain carries phases the block builder has no place for.
hasSetupDelayoff() - Method in class jline.lang.layered.Task: Check if this task has setup/delayoff configured (i.e., non-trivial values).
hasSingleChain() - Method in class jline.lang.Network
hasSingleChain() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model has single chain
hasSingleClass() - Method in class jline.lang.Network
hasSIRO() - Method in class jline.lang.Network
hasSJF() - Method in class jline.lang.Network
hasStorageFor(String) - Static method in class jline.io.DockerImage: True if the Docker storage location has room for image.
hasSw - Variable in class jline.lang.state.Polling.Info: True when the leg entering buffer q takes a strictly positive time.
hasSwitchoverTime(JobClass, JobClass) - Method in class jline.lang.nodes.Station: Checks if a switchover time is set for the given job class pair.
hasTranResults() - Method in class jline.solvers.NetworkSolver: Checks if the solver has computed transient average metrics.
hasValidNormalizingConstant() - Method in class jline.io.Ret.ProbabilityResult: Checks if this result contains a valid normalizing constant.
hasValidProbability() - Method in class jline.io.Ret.ProbabilityResult: Checks if this result contains a valid probability value.
hasValidSamples() - Method in class jline.io.Ret.SampleResult: Checks if this result contains valid sample data.
hazard - Variable in class jline.api.sn.SnPatienceHandles.Handles: The hazard rate h = f/(1-F).
hazard(DoubleUnaryOperator) - Static method in class jline.api.qsys.Patience: Patience given by its hazard rate h = f/(1-F).
HAZARD - Enum constant in enum jline.api.qsys.Patience.Form: Explicit hazard rate h(t), used pointwise as in eq.
hazardAt(double) - Method in class jline.api.qsys.Patience
headIsCaller - Variable in class jline.api.lqn.LqnRefRoutes.Group: True when the REF task is itself a caller of this layer.
help() - Method in class jline.lang.layered.LayeredNetwork: Alias of LayeredNetwork.findSolver(): what can this model be solved with?
help() - Method in class jline.lang.Network: Alias of Network.findSolver(): what can this model be solved with?
help(String, boolean) - Method in class jline.lang.layered.LayeredNetwork: Alias of LayeredNetwork.findSolver(String, boolean).
help(String, boolean) - Method in class jline.lang.Network: Alias of Network.findSolver(String, boolean).
hess() - Method in class jline.util.matrix.Matrix: Computes the Hessenberg decomposition of the matrix, equivalent to MATLAB's [V,H] = hess(A): V is orthogonal, H is upper Hessenberg, and A = V*H*V' (equivalently V'*A*V = H).
hess(Matrix) - Method in class jline.util.matrix.Matrix: Computes the generalized Hessenberg-triangular decomposition of the pencil (this, B), equivalent to MATLAB's [LBAR,NBAR,W,V] = hess(A,B): W and V are orthogonal, W*A*V = LBAR is upper Hessenberg and W*B*V = NBAR is upper triangular.
hessian(double[]) - Method in class jline.lib.rmf.CacheRMF: Compute Hessian d^2F/dx^2.
heteroproc - Variable in class jline.lang.nodeparam.ServiceNodeParam: Heterogeneous service processes: heteroproc.get(serverTypeId).get(classId) -> PH matrices.
heteroprocid - Variable in class jline.lang.nodeparam.ServiceNodeParam: Heterogeneous process types: heteroprocid.get(serverTypeId).get(classId) -> ProcessType.
heterorates - Variable in class jline.lang.nodeparam.ServiceNodeParam: Heterogeneous service rates: heterorates.get(serverTypeId).get(classId) -> rate.
heteroschedpolicy - Variable in class jline.lang.nodeparam.ServiceNodeParam: Heterogeneous scheduling policy for this station.
HeteroSchedPolicy - Enum in jline.lang.constant: Enumeration of scheduling policies for heterogeneous multiserver queues.
HeteroServerExample - Class in jline.examples: Example demonstrating heterogeneous server support in LINE.
HeteroServerExample() - Constructor for class jline.examples.HeteroServerExample
heuristic - Variable in class jline.api.sim.QuantileCIResult: True when a stage test failed and the interval is not asymptotically justified.
HeuristicPermanent - Class in jline.lib.perm: Heuristic approximation to the permanent of a positive matrix.
HeuristicPermanent(Matrix) - Constructor for class jline.lib.perm.HeuristicPermanent: Constructor with just matrix parameter.
HeuristicPermanent(Matrix, boolean) - Constructor for class jline.lib.perm.HeuristicPermanent: Constructor with just matrix and solve parameters.
HeuristicPermanent(Matrix, double, int, boolean) - Constructor for class jline.lib.perm.HeuristicPermanent: Constructor with all parameters.
hi - Variable in class jline.api.fj.FJ_charmax_ext.FJCharMaxBlomResult
hide_immediate - Variable in class jline.solvers.SolverOptions.Config: Hide immediate transitions from analysis
hide_immediate - Variable in class jline.solvers.SolverOptions: Hide immediate transitions from output when possible
highvar - Variable in class jline.solvers.SolverOptions.Config: High-variance class handling strategy
hitaidx - Variable in class jline.lang.layered.LayeredNetworkStruct
hitclass - Variable in class jline.lang.nodeparam.CacheNodeParam: Job class routing matrix for cache hits [items x classes]
hitClass - Variable in class jline.lang.sections.CacheClassSwitcher
hitmissaidx - Variable in class jline.lang.layered.LayeredNetworkStruct
hitprob - Variable in class jline.api.da.Da_cacheqn_retrieval.Result
hitprob - Variable in class jline.solvers.CacheResultRecord: Actual hit probability per read class [1 x classes], or null.
hitprob - Variable in class jline.solvers.fluid.analyzers.CacheTranResult: Per-cache per-class hit-probability trajectory (ncaches x K x nt).
hitProb - Variable in class jline.solvers.fluid.FluidResult: Cache hit probabilities [nodes x classes] from cacheqn analysis
hitProb - Variable in class jline.solvers.mva.MVAResult: Cache hit probabilities [items x classes] (used by cache analyzers)
hitProb - Variable in class jline.solvers.nc.NCResult
hitproblist - Variable in class jline.solvers.CacheResultRecord: Actual hit probability by cache list [classes x lists], or null.
hitProbList - Variable in class jline.solvers.fluid.FluidResult: Per-list cache hit probabilities [classes x lists], indexed by NODE.
hitRate(double[], int) - Method in class jline.lib.rmf.CacheRMF: Compute hit rate contribution from a specific list.
hitRatesAll(double[]) - Method in class jline.lib.rmf.CacheRMF: Compute hit rates for all lists.
hittingTime(int[]) - Method in class jline.lang.processes.MarkovChain: Mean number of steps to reach any target state.
HLRU - Enum constant in enum jline.lang.constant.ReplacementStrategy
hmax - Variable in class jline.util.ode.Rodas.Options: Largest step; NaN defaults to xend - x.
hn(double, double, int) - Static method in class jline.lib.lti.customromberg
HOL - Enum constant in enum jline.lang.constant.SchedStrategy: Head Of Line priority (FCFS with priorities) - highest priority class served first
holders() - Static method in class jline.examples.parity.JavaExampleTwins: The names this sweep would register, for a diagnostic.
holdingClock(Matrix, Matrix, double) - Static method in class jline.api.cache.CacheSojourn: The holding-time clock of a random-environment stage whose holding time is the MAP {D0,D1}, in a drift time unit that is lam times real time: A = D0/lam, c = -D0 1/lam, phi0 = map_pie, so that int_0^T g = F(T/lam) with F the holding-time CDF.
holds(NetworkStruct, int) - Static method in class jline.lang.state.ReplyBlock: True iff node ind holds servers for any synchronous call.
holdTime - Variable in class jline.lang.Environment
homogeneousReference() - Static method in class jline.examples.java.basic.OpenMAPtServiceModel: The ordinary MAP the constant schedule above must agree with.
horizon - Variable in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer.CftpResult: Per-sample coalescence horizon or mixing steps.
horizonReason(SolverOptions) - Static method in class jline.solvers.fluid.analyzers.QsysLimitAnalyzer: The integration window of a time-varying single-station fluid limit, asked as a predicate rather than thrown.
Host - Class in jline.lang.layered: A processor that can run Tasks
Host(LayeredNetwork, String) - Constructor for class jline.lang.layered.Host
Host(LayeredNetwork, String, int) - Constructor for class jline.lang.layered.Host
Host(LayeredNetwork, String, int, SchedStrategy) - Constructor for class jline.lang.layered.Host
Host(LayeredNetwork, String, int, SchedStrategy, double) - Constructor for class jline.lang.layered.Host
Host(LayeredNetwork, String, int, SchedStrategy, double, double) - Constructor for class jline.lang.layered.Host
HOST - Enum constant in enum jline.io.ModelVisualizer.NodeType
HOST - Static variable in class jline.lang.layered.LayeredNetworkElement
hostdem - Variable in class jline.lang.layered.LayeredNetworkStruct: Deprecated.
HOSTDEM - Enum constant in enum jline.api.infer.ParamSpec.Type
hostdem_mean - Variable in class jline.lang.layered.LayeredNetworkStruct
hostdem_params - Variable in class jline.lang.layered.LayeredNetworkStruct
hostdem_proc - Variable in class jline.lang.layered.LayeredNetworkStruct
hostdem_scv - Variable in class jline.lang.layered.LayeredNetworkStruct
hostdem_type - Variable in class jline.lang.layered.LayeredNetworkStruct
hostDemand - Variable in class jline.lang.layered.Activity
hostDemand(String) - Static method in class jline.api.infer.ParamSpec: Estimate the mean host demand of the named activity.
HostDemand - Class in jline.opt.variables: Optimize the mean host demand of an LQN Activity (continuous).
HostDemand(String, double, double) - Constructor for class jline.opt.variables.HostDemand
HostDemand(String, double, double, String) - Constructor for class jline.opt.variables.HostDemand
HostDemand(Activity, double, double) - Constructor for class jline.opt.variables.HostDemand
HostDemand(Activity, double, double, String) - Constructor for class jline.opt.variables.HostDemand
hostDemandMean - Variable in class jline.lang.layered.Activity
hostDemandSCV - Variable in class jline.lang.layered.Activity
hostIdx(int) - Method in class jline.lang.layered.LayeredNetworkStruct: Absolute index of host h, h in 0..nhosts-1.
hostLayerIndices - Variable in class jline.solvers.ln.SolverLN
hostOf(int) - Method in class jline.lang.layered.LayeredNetworkStruct: Host-local index of an absolute index, or -1 if it is not a host.
hosts - Variable in class jline.lang.layered.LayeredNetwork
hshift - Variable in class jline.lang.layered.LayeredNetworkStruct
hstack(Matrix, Matrix) - Static method in class jline.lib.butools.mam.FluidTools: [A B] side by side (handles zero-dimension blocks).
ht(Network) - Static method in class jline.lang.ModelAdapter: Heidelberger-Trivedi fork-join queueing network transformation.
HTTP - Enum constant in enum jline.streaming.StreamingOptions.TransportType: HTTP transport using Java's built-in HttpURLConnection (recommended)
HttpMetricsClient - Class in jline.streaming: Simple HTTP client for sending metrics to a receiver.
HttpMetricsClient(String, String) - Constructor for class jline.streaming.HttpMetricsClient: Create a new HTTP metrics client.
HttpMetricsClient(String, String, boolean) - Constructor for class jline.streaming.HttpMetricsClient: Create a new HTTP metrics client.
HuberLawSampler - Class in jline.lib.perm: Sampling method to approximate the permanent using the Huber-Law bound.
HuberLawSampler(Matrix) - Constructor for class jline.lib.perm.HuberLawSampler
HuberLawSampler(Matrix, double, double, double, String, int, long, boolean) - Constructor for class jline.lib.perm.HuberLawSampler
hyper_rand(double[], double[], int) - Static method in class jline.lib.kpctoolbox.aph.APH
hyper10() - Static method in class jline.lib.kpctoolbox.MAPCatalog: Hyperexponential MAP with 10 states Source: hyper10.m Category: Hyperexponential
hyper20() - Static method in class jline.lib.kpctoolbox.MAPCatalog: Hyperexponential MAP with 20 states Source: hyper20.m Category: Hyperexponential
hyper8() - Static method in class jline.lib.kpctoolbox.MAPCatalog: Hyperexponential MAP with 8 states Source: hyper8.m Category: Hyperexponential
HyperExp - Class in jline.lang.processes: A hyper-exponential distribution.
HyperExp(double[], double[]) - Constructor for class jline.lang.processes.HyperExp: Creates an n-phase hyper-exponential distribution: with probability p[i] the sample is exponential with rate lambda[i].
HyperExp(double, double) - Constructor for class jline.lang.processes.HyperExp
HyperExp(double, double, double) - Constructor for class jline.lang.processes.HyperExp
HyperExp(Matrix, Matrix) - Constructor for class jline.lang.processes.HyperExp: Creates an n-phase hyper-exponential distribution from Matrix vectors.
HYPEREXP - Enum constant in enum jline.io.WfCommonsOptions.DistributionType: Hyper-exponential distribution
HYPEREXP - Enum constant in enum jline.lang.constant.ProcessType
hyperexp_fit_longtail(DoubleUnaryOperator) - Static method in class jline.api.mam.HyperexpFitLongtail: The fit with the component count chosen automatically: one per decade between the 0.9 quantile and the 1e-6 quantile, retrying with fewer when the recursion runs out of probability near the body.
hyperexp_fit_longtail(DoubleUnaryOperator, double, double) - Static method in class jline.api.mam.HyperexpFitLongtail
hyperexp_fit_longtail_k(DoubleUnaryOperator, int, double, double, double) - Static method in class jline.api.mam.HyperexpFitLongtail: The recursion at a fixed component count.
HyperexpFitLongtail - Class in jline.api.mam: Fitting a hyperexponential to a long-tail distribution.
HyperExpParameters(int) - Constructor for class jline.lib.m3a.M3A.HyperExpParameters
hypo065_095() - Static method in class jline.lib.kpctoolbox.MAPCatalog: Hypothetical MAP model 065-095 Source: hypo065-095.mat Category: Hypothetical
hypo070_090() - Static method in class jline.lib.kpctoolbox.MAPCatalog: Hypothetical MAP model 070-090 Source: hypo070-090.mat Category: Hypothetical
hypo075_085() - Static method in class jline.lib.kpctoolbox.MAPCatalog: Hypothetical MAP model 075-085 Source: hypo075-085.mat Category: Hypothetical
hypo080_080() - Static method in class jline.lib.kpctoolbox.MAPCatalog: Hypothetical MAP model 080-080 Source: hypo080-080.mat Category: Hypothetical
HypothesisTestResult - Class in jline.api.sim: Outcome of one of the output-analysis hypothesis tests.
HypothesisTestResult(double, double, double, boolean, int) - Constructor for class jline.api.sim.HypothesisTestResult

I

I - Variable in class jline.api.fj.FJ_parallel.FJDagMakespanResult
I - Variable in class jline.solvers.fluid.petri.PetriTerms
I - Variable in class jline.util.graph.DirectedGraph.SCCResult
I - Variable in class jline.util.Maths.laplaceApproxComplexReturn
I - Variable in class jline.util.Maths.laplaceApproxReturn
I - Variable in class jline.util.Maths.simplexQuadResult
iaFun(double) - Method in class jline.api.npfqn.Npfqn_traffic_idc: Solve the time-dependent IDC equations (eq.
ID_POST_AND - Static variable in class jline.lang.constant.ActivityPrecedenceType
ID_POST_CACHE - Static variable in class jline.lang.constant.ActivityPrecedenceType
ID_POST_LOOP - Static variable in class jline.lang.constant.ActivityPrecedenceType
ID_POST_OR - Static variable in class jline.lang.constant.ActivityPrecedenceType
ID_POST_SEQ - Static variable in class jline.lang.constant.ActivityPrecedenceType
ID_PRE_AND - Static variable in class jline.lang.constant.ActivityPrecedenceType
ID_PRE_OR - Static variable in class jline.lang.constant.ActivityPrecedenceType
ID_PRE_SEQ - Static variable in class jline.lang.constant.ActivityPrecedenceType
idc - Variable in class jline.api.fes.FesMapMomentsResult: Asymptotic index of dispersion.
idc - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
idc() - Method in class jline.lang.processes.Markovian: Property alias for getIDC
IdcFunction - Interface in jline.api.npfqn
identity(int) - Static method in class jline.api.mdd.MddLocalMatrix: The identity of the given order, used for a level an event does not touch.
identityStatic(int) - Static method in class jline.util.matrix.DenseMatrix: Creates an identity matrix of the specified size.
identityStatic(int) - Static method in class jline.util.matrix.SparseMatrix
idfx - Variable in class jline.util.ode.Rodas.Options: 1 to call Rodas.Options.dfx, 0 for finite differences.
idi() - Method in class jline.lang.processes.Markovian: Property alias for getIDI
idid - Variable in class jline.util.ode.Rodas.Result
IDID_NMAX - Static variable in class jline.util.ode.Rodas: IDID: more than NMAX steps were needed.
IDID_SINGULAR - Static variable in class jline.util.ode.Rodas: IDID: the matrix was repeatedly singular.
IDID_SOLOUT_STOP - Static variable in class jline.util.ode.Rodas: IDID: SOLOUT asked for the integration to stop.
IDID_STEP_TOO_SMALL - Static variable in class jline.util.ode.Rodas: IDID: the step size became too small.
IDID_SUCCESS - Static variable in class jline.util.ode.Rodas: IDID: the integration reached XEND.
idleProb - Variable in class jline.api.qsys.QsysTandemLindleyResult: Probability the upstream server goes idle before the next arrival.
idx - Variable in class jline.solvers.ln.SolverLN.PHLayer: Element index of the server, a processor or a task.
idx - Variable in class jline.util.graph.DirectedGraph.SCCAuxResult
idxhash - Variable in class jline.solvers.ln.SolverLN
ifcn - Variable in class jline.util.ode.Rodas.Options: 0: f is autonomous; 1: f may depend on x.
ignore - Variable in class jline.solvers.ln.SolverLN
ijac - Variable in class jline.util.ode.Rodas.Options: 1 to call Rodas.Options.jac, 0 for finite differences.
il_common_entries - Variable in class jline.solvers.ln.SolverLN
il_num_sources - Variable in class jline.solvers.ln.SolverLN
il_source_tasks_all - Variable in class jline.solvers.ln.SolverLN
il_source_tasks_ph2 - Variable in class jline.solvers.ln.SolverLN
il_table_all - Variable in class jline.solvers.ln.SolverLN
il_table_ph1 - Variable in class jline.solvers.ln.SolverLN
ilscaling - Variable in class jline.solvers.ln.SolverLN
ilscaling - Variable in class jline.solvers.ln.SolverLN.LNState
ilt(UnaryOperator<Complex>, double[]) - Static method in class jline.lib.lti.iltcme: ilt with the default budget and the default "cme" method.
ilt(UnaryOperator<Complex>, double[], int) - Static method in class jline.lib.lti.iltcme: ILT with the default method "cme".
ilt(UnaryOperator<Complex>, double[], int, String) - Static method in class jline.lib.lti.iltcme
ilt(UnaryOperator<Complex>, double[], String) - Static method in class jline.lib.lti.iltcme: ilt with the default budget.
iltcme - Class in jline.lib.lti
iltcme.CmeEntry - Class in jline.lib.lti: One row of the pre-computed CME parameter table.
iltMatrix(Function<Complex, Complex[][]>, double[], int) - Static method in class jline.lib.lti.iltcme
iltMatrix(Function<Complex, Complex[][]>, double[], int, String) - Static method in class jline.lib.lti.iltcme: Matrix-valued inverse Laplace transform.
ILUT_DROP_TOL - Static variable in class jline.api.mc.Ctmc_gmres: Relative threshold below which ILUT discards a fill-in entry.
ILUT_FILL_FACTOR - Static variable in class jline.api.mc.Ctmc_gmres: Factor bounding the ILUT factors, as a multiple of the nonzeros per row of A.
im - Variable in class jline.util.matrix.ComplexMatrix: The imaginary component of the complex matrix
imas - Variable in class jline.util.ode.Rodas.Options: 1 to call Rodas.Options.mas, 0 for M = I.
immCol - Variable in class jline.solvers.fluid.petri.PetriTerms
immColOf - Variable in class jline.solvers.fluid.petri.PetriTerms
immediate - Variable in class jline.lang.processes.Distribution
immediate(PetriTerms, double[], PetriImmediate) - Static method in class jline.solvers.fluid.petri.PetriImmediate: Assign bindings and build the pinning equations at the marking x.
Immediate - Class in jline.lang.processes: An Immediate distribution that always samples 0.
Immediate - Static variable in class jline.GlobalConstants: Value representing immediate service (1/FineTol)
Immediate() - Constructor for class jline.lang.processes.Immediate
IMMEDIATE - Enum constant in enum jline.lang.constant.ProcessType
IMMEDIATE - Enum constant in enum jline.lang.constant.TimingStrategy
immediateAbsorb - Variable in class jline.solvers.fluid.moments.FluidMomentTerms: Projector taking an initial condition onto the surviving coordinates: the identity on a coordinate the immediate reduction kept and the absorption distribution on one it folded away, so a zero diagonal marks an eliminated coordinate.
ImmediateElimination - Class in jline.solvers.fluid.handlers: Stochastic complementation of the IMMEDIATE coordinates of the fluid ODE.
ImmediateElimination() - Constructor for class jline.solvers.fluid.handlers.ImmediateElimination
ImmediateElimination.EliminationResult - Class in jline.solvers.fluid.handlers: Result of immediate elimination containing the reduced system, the surviving coordinates and the two maps that carry per-event and per-coordinate quantities across the reduction.
immediateFlow - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
immediateSlots - Variable in class jline.io.Ret.FJApprox: Slots the transformation itself initialises to Immediate (the joins it turns into zero-service delays), as "nodeIdx,classIdx".
immfeed - Variable in class jline.lang.NetworkStruct
immfeedSelfLoop(NetworkStruct, EventType, int, int, int) - Static method in class jline.lang.state.State: True when a synchronization is an IMMEDIATE-FEEDBACK SELF-LOOP: a departure whose passive half is an arrival back at the same station, in a class the station holds its server for (sn.immfeed, set by Queue.setImmediateFeedback or JobClass.setImmediateFeedback).
immIdx - Variable in class jline.solvers.fluid.petri.PetriTerms
impatienceClass - Variable in class jline.lang.NetworkStruct
impatienceMu - Variable in class jline.lang.NetworkStruct
impatiencePhases - Variable in class jline.lang.NetworkStruct
impatiencePhi - Variable in class jline.lang.NetworkStruct
impatiencePie - Variable in class jline.lang.NetworkStruct
impatienceProc - Variable in class jline.lang.NetworkStruct
impatienceType - Variable in class jline.lang.NetworkStruct
ImpatienceType - Enum in jline.lang.constant: Constants for specifying customer impatience types.
impatienceTypes - Variable in class jline.lang.nodes.Station
IN_PLACE - Enum constant in enum jline.api.sn.ModifyMode: Modify the input NetworkStruct in place and return it.
inA - Variable in class jline.api.pfqn.Pfqn_sdr.Coeff: inA[t] holds the branch indices b with level[b] >= t, the set A_t.
INAPResult - Class in jline.solvers.ag.handlers: Result of the INAP/INAPrc fixed-point iteration.
INAPResult(Matrix, List<Matrix>, List<Matrix>, int) - Constructor for class jline.solvers.ag.handlers.INAPResult
INAPResult(Matrix, List<Matrix>, List<Matrix>, int, double[], boolean[], QbdTail[], double) - Constructor for class jline.solvers.ag.handlers.INAPResult
inchain - Variable in class jline.lang.ModelAdapter.DeaggInfo
inchain - Variable in class jline.lang.NetworkStruct
includeArrivalRate - Variable in class jline.streaming.StreamingOptions: Whether to include arrival rate metrics (ArvR)
includeArrivalRate(boolean) - Method in class jline.streaming.StreamingOptions: Enable or disable arrival rate metrics.
includeQueueLength - Variable in class jline.streaming.StreamingOptions: Whether to include queue length metrics (QLen)
includeQueueLength(boolean) - Method in class jline.streaming.StreamingOptions: Enable or disable queue length metrics.
includeResponseTime - Variable in class jline.streaming.StreamingOptions: Whether to include response time metrics (RespT)
includeResponseTime(boolean) - Method in class jline.streaming.StreamingOptions: Enable or disable response time metrics.
includeThroughput - Variable in class jline.streaming.StreamingOptions: Whether to include throughput metrics (Tput)
includeThroughput(boolean) - Method in class jline.streaming.StreamingOptions: Enable or disable throughput metrics.
includeUtilization - Variable in class jline.streaming.StreamingOptions: Whether to include utilization metrics (Util)
includeUtilization(boolean) - Method in class jline.streaming.StreamingOptions: Enable or disable utilization metrics.
ind - Variable in class jline.lang.state.EventCacheKey
index - Variable in class jline.lang.JobClass
index(int[]) - Method in class jline.api.mdd.MDD: 0-based lexicographic rank of state among the stored set, level 0 most significant, or -1 when the state is not stored.
index(int, int) - Method in class jline.lib.rmf.CacheRMF: Map (item i, list k) to flat state index.
IndexedMinHeap - Class in jline.util: IndexedMinHeap A min-heap over a fixed set of integer keys 0..n-1, each associated with a double priority.
IndexedMinHeap(int) - Constructor for class jline.util.IndexedMinHeap: Construct a heap of size n.
indexOfNode(List<Node>, String) - Static method in class jline.opt.variables.DecisionVariable
induced(Matrix, int[], int, int) - Static method in class jline.api.pfqn.nc.Pfqn_explicit: Induced demands theta_k(t) = sum_r t_r L(k,r).
inequalityMatrix() - Method in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem: Dense inequality rows, normalised to A x <= b.
inequalityRhs() - Method in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem
Inf - Static variable in class jline.GlobalConstants: Positive infinity constant
INF - Enum constant in enum jline.lang.constant.SchedStrategy: Infinite Server - each job gets its own server immediately (delay station)
infer_compute_ql_at_arrival(double[], int[], double[], int[], int[], int) - Static method in class jline.inference.api.Infer_compute_ql_at_arrival: Compute per-class queue lengths at arrival.
Infer_compute_ql_at_arrival - Class in jline.inference.api
infer_fluid_ps_rt_likelihood(NetworkStruct, int) - Static method in class jline.inference.api.Infer_fluid_ps_rt_likelihood
Infer_fluid_ps_rt_likelihood - Class in jline.inference.api
Infer_fluid_ps_rt_likelihood.FluidPsRtResult - Class in jline.inference.api: Result of building the augmented fluid model for response time likelihood.
infer_fluid_ps_rt_solve(Infer_fluid_ps_rt_likelihood.FluidPsRtResult, Matrix, double, int) - Static method in class jline.inference.api.Infer_fluid_ps_rt_likelihood
infer_fmlps(Network, Queue, double[], int[], Matrix, int) - Static method in class jline.inference.api.Infer_fmlps: FMLPS demand estimation using fluid-based likelihood.
Infer_fmlps - Class in jline.inference.api
infer_get_qlen_arrival(double[][][], int) - Static method in class jline.inference.api.Infer_get_qlen_arrival: Compute queue lengths at arrival from legacy cell data format.
Infer_get_qlen_arrival - Class in jline.inference.api
infer_gibbs(double[][][], int) - Static method in class jline.inference.api.Infer_gibbs
infer_gibbs(double[][][], int, double) - Static method in class jline.inference.api.Infer_gibbs
Infer_gibbs - Class in jline.inference.api: Gibbs Sampling demand estimation from trace data.
infer_minps(Network, Queue, double[], int[], Matrix) - Static method in class jline.inference.api.Infer_minps: MINPS demand estimation method.
Infer_minps - Class in jline.inference.api
infer_mlps(Network, Queue, double[], int[], Matrix) - Static method in class jline.inference.api.Infer_mlps
Infer_mlps - Class in jline.inference.api
infer_nhpp_ks(double[], double) - Static method in class jline.api.infer.InferNhppKs: The Lewis (Durbin-transformed) test with a constant rate.
infer_nhpp_ks(double[], double, DoubleUnaryOperator, String, double) - Static method in class jline.api.infer.InferNhppKs
infer_qmle(Matrix, double[], double[]) - Static method in class jline.inference.api.Infer_qmle: Quick Maximum Likelihood Estimation closed-form formula.
Infer_qmle - Class in jline.inference.api
infer_quick_model(boolean, SchedStrategy[], double[][]) - Static method in class jline.api.infer.InferQuickModel: Serial routing, one server per station and one job per closed class.
infer_quick_model(boolean, SchedStrategy[], double[][], int[], int[], double[][][]) - Static method in class jline.api.infer.InferQuickModel
infer_rps(double[], int[], Matrix, int) - Static method in class jline.inference.api.Infer_rps: Regression for Processor Sharing (RPS) demand estimation.
Infer_rps - Class in jline.inference.api
infer_variational(VariationalSpec, VariationalOptions) - Static method in class jline.inference.api.Infer_variational: Run the variational inference procedure.
Infer_variational - Class in jline.inference.api: Variational inference for Markovian queueing networks, following I.
InferenceExamples - Class in jline.examples.java.inference: Java twin of the inference example scripts (matlab/examples/inference, python/examples/inference, cpp/examples/inference).
InferenceExamples() - Constructor for class jline.examples.java.inference.InferenceExamples
inferLqn(LayeredNetwork, List<ParamSpec>, List<ObsSpec>, Matrix, InferLqnOptions) - Static method in class jline.api.infer.InferLqn: Identify hidden LQN parameters from measured performance data.
InferLqn - Class in jline.api.infer: LQN parameter identification via an Extended Kalman Filter.
InferLqn.JacobianResult - Class in jline.api.infer: Finite-difference sensitivity matrix H = dh/da together with h0 = h(a).
InferLqnOptions - Class in jline.api.infer: Options for LQN parameter identification via the Extended Kalman Filter (InferLqn).
InferLqnOptions() - Constructor for class jline.api.infer.InferLqnOptions
InferLqnOptions.ObservationSolver - Interface in jline.api.infer: Observation model: solve the LQN and return its per-element average table.
InferLqnResult - Class in jline.api.infer: Result of an LQN parameter identification run (InferLqn).
InferLqnResult() - Constructor for class jline.api.infer.InferLqnResult
InferNhppKs - Class in jline.api.infer: Kolmogorov-Smirnov tests for a non-homogeneous Poisson arrival process.
InferQuickModel - Class in jline.api.infer: Convenience factory for the single-layer networks the inference estimators fit.
infGen - Variable in class jline.lang.processes.MarkovProcess
infGen - Variable in class jline.solvers.ctmc.CTMCResult
infGen - Variable in class jline.solvers.ctmc.SolverCTMC.generatorResult
InfGen - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
InfGen - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
infGenTerms - Variable in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult: Per-event contribution to the symbolic infinitesimal generator (diagonal included)
infGenWork - Variable in class jline.solvers.ctmc.CTMCResult
InfGenWork - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult: Stationary distribution the analyzer solved for, and the generator and state spaces it is indexed by.
InfiniteServer - Class in jline.lang.sections: A service section with an infinite number of servers (pure delay).
InfiniteServer(List<JobClass>) - Constructor for class jline.lang.sections.InfiniteServer: Creates a new infinite server section for the specified job classes.
infinityNorm() - Method in class jline.util.matrix.Matrix: Computes the infinity norm of this matrix.
infNorm(Matrix) - Static method in class jline.util.matrix.Matrix: Computes the infinity norm (maximum absolute row sum) of the matrix.
info - Variable in class jline.api.spn.Spn_mdd.SpnResult
info() - Method in class jline.api.sym.SageRestEngine: Reads the service identity, used to tell a line-sage-rest server apart from another service listening on the same conventional port.
info(NetworkStruct, int) - Static method in class jline.lang.state.Polling: Derived description of the polling controller at the station of node ind, or null when the node is not a polling station.
info(NetworkStruct, int) - Static method in class jline.lang.state.ReplyBlock: Layout of the reply block that node ind carries.
Info() - Constructor for class jline.lang.state.Polling.Info
Info() - Constructor for class jline.lang.state.ReplyBlock.Info
infradius_h(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_nrl
infradius_hnorm(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_nrp
inhib - Variable in class jline.api.spn.Spn_lpbnd.SpnLpMode
inhib - Variable in class jline.api.spn.Spn_mdd.SpnMode: Inhibition threshold per place level; infinite when absent.
inhibiting - Variable in class jline.lang.nodeparam.TransitionNodeParam
inhibitingConditions - Variable in class jline.lang.nodes.Transition
inhSlot - Variable in class jline.solvers.fluid.petri.PetriMode: Marking coordinates that inhibit this mode.
inhThr - Variable in class jline.solvers.fluid.petri.PetriMode: Threshold of each inhibitor arc, in the same order.
ini - Variable in class jline.lib.butools.mam.FluidSolve.FluidSolution
iniB - Variable in class jline.lib.butools.mam.LevelDependentFluidSolution
iniF - Variable in class jline.lib.butools.mam.LevelDependentFluidSolution
init - Variable in class jline.api.mdd.MddDescriptor: Initial local index per station.
init - Variable in class jline.api.spn.Spn_lpbnd.SpnLpOptions: Initial tokens per place level, place-major; null reads the model.
init - Variable in class jline.api.spn.Spn_mdd.SpnInfo
init() - Method in class jline.lang.Environment
init() - Method in class jline.lang.layered.LayeredNetwork: Initializes the layered network by generating the graph and setting default parameters.
init() - Method in class jline.lang.nodes.Place
init() - Method in class jline.solvers.EnsembleSolver
init() - Method in class jline.solvers.env.SolverENV
init() - Method in class jline.solvers.ln.SolverLN
init() - Method in class jline.solvers.uq.SolverUQ
init(double, double[], double) - Method in class jline.solvers.fluid.handlers.MethodStepHandler
init(double, double[], double) - Method in class jline.solvers.fluid.handlers.TransientDataHandler
INIT - Enum constant in enum jline.lang.constant.EventType
init_cov - Variable in class jline.solvers.SolverOptions.Config: Fluid 'kp': initial covariance Sigma(0), dim-by-dim in the same layout as SolverOptions.Config.kp_init_sol.
init_qcov - Variable in class jline.solvers.SolverOptions.Config: Fluid 'kp' and 'dae': initial covariance over (station, class) pairs, an (M*K)-by-(M*K) matrix indexed ir = r*M + i.
init_qlen - Variable in class jline.solvers.SolverOptions.Config: Fluid 'kp': initial mean queue length over (station, class) pairs, an M-by-K matrix.
init_sol - Variable in class jline.solvers.SolverOptions: Initial solution for iterative solvers
init_state_fcfs_exp() - Static method in class jline.examples.java.advanced.InitStateExamples: Demonstrates initial state with FCFS queues and exponential service times (init_state_fcfs_exp.ipynb).
init_state_fcfs_exp() - Static method in class jline.examples.java.advanced.InitStateModel: Demonstrates two different initialization methods for a simple 2-node closed queueing network.
init_state_fcfs_nonexp() - Static method in class jline.examples.java.advanced.InitStateExamples: Demonstrates initial state with FCFS queues and non-exponential service times (init_state_fcfs_nonexp.ipynb).
init_state_fcfs_nonexp() - Static method in class jline.examples.java.advanced.InitStateModel: Demonstrates three different initialization approaches for a multi-class network.
init_state_ps() - Static method in class jline.examples.java.advanced.InitStateExamples: Demonstrates initial state with processor sharing (PS) discipline (init_state_ps.ipynb).
init_state_ps() - Static method in class jline.examples.java.advanced.InitStateModel: Initial state demonstration with class switching and custom initialization.
initByArray(long[]) - Method in class jline.opt.solver.de.MT19937: numpy/Matsumoto init_by_array (used for seeds > 32 bits).
initClassSwitchMatrix() - Method in class jline.lang.nodes.ClassSwitch
initDefault() - Method in class jline.lang.layered.LayeredNetwork: Initializes the layered network with default settings.
initDefault() - Method in class jline.lang.Network
initDefaultStates(Network) - Static method in class jline.gen.NetworkGenerator: Initialize default states for all nodes in the network Based on MATLAB's initDefaultCustom function
initDispatcherJobClasses(List<JobClass>) - Method in class jline.lang.sections.Dispatcher
initDispatcherJobClasses(List<JobClass>) - Method in class jline.lang.sections.Linkage
initDispatcherJobClassesPreservingRouted(List<JobClass>) - Method in class jline.lang.sections.Dispatcher: Reset to DISABLED only those classes that currently lack a meaningful routing strategy (i.e.
initFluidHandles() - Method in class jline.solvers.fluid.SolverFluid: Initialize performance metric handles from the model.
initFromAvgQLen(Matrix) - Method in class jline.lang.Network
initFromAvgTable(NetworkAvgTable) - Method in class jline.lang.Network
initFromMarginal(Matrix) - Method in class jline.lang.layered.LayeredNetwork: Split the aggregate (M x K) marginal queue-length matrix into per-layer blocks and warm-start each layer network.
initFromMarginal(Matrix) - Method in class jline.lang.Network
initFromMarginalAndRunning(Matrix, Matrix) - Method in class jline.lang.Network
initFromMarginalAndStarted(Matrix, Matrix) - Method in class jline.lang.Network
initFromSolver(NetworkSolver) - Method in class jline.solvers.ldes.SolverLDES: Warm-start the simulation from the steady-state solution of an auxiliary solver.
initFromSolver(NetworkSolver) - Method in class jline.solvers.NetworkSolver: Warm-start the solver from the steady-state solution of an auxiliary solver.
initGenrand(long) - Method in class jline.opt.solver.de.MT19937: numpy/Matsumoto init_genrand.
initHandles() - Method in class jline.solvers.NetworkSolver: Initializes performance metric handles from the model.
initialDistribution(Matrix, Matrix, NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.CtmcStationary: Point mass at the initial state of sn, or null when that state is absent from stateSpace (stochastic complementation may have removed it, e.g.
initialProbs - Variable in class jline.lib.m3a.M3A.PhaseTypeParameters
initialQ - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
initialState - Variable in class jline.lang.state.State
initialStateSpace - Variable in class jline.lang.state.State
initialT - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
initialU - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
initJoinJobClasses() - Method in class jline.lang.nodes.Join
initpik - Variable in class jline.api.mdd.MddMcdOptions: Optional warm-start level vectors, one per paper level; null to start uniform.
initProb() - Method in class jline.lang.processes.APH: Property alias for getInitProb
initProb() - Method in class jline.lang.processes.Markovian: Property alias for getInitProb
initProb() - Method in class jline.lang.processes.PH: Property alias for getInitProb
initRespTimeSamples(int, int) - Method in class jline.solvers.ldes.LDESResult: Initializes the respTimeSamples array with empty lists for each (station, class) pair.
initRoutingMatrix() - Method in class jline.lang.Network
initSol() - Method in class jline.solvers.fluid.SolverFluid: Initializes the solution vector for the fluid analysis.
InitStateExamples - Class in jline.examples.java.advanced: Examples demonstrating initial state configurations in queueing networks.
InitStateExamples() - Constructor for class jline.examples.java.advanced.InitStateExamples
initStateFcfsExp() - Static method in class jline.examples.parity.InitStateTwins: init_state_fcfs_exp.py: one closed class of five jobs over a delay and an FCFS queue, under the default prior and a marginal one.
initStateFcfsNonexp() - Static method in class jline.examples.parity.InitStateTwins: init_state_fcfs_nonexp.py: two classes over a three-server FCFS queue with Erlang service, under three priors -- the default, the first state of a marginal, and the uniform law over that marginal's states.
InitStateModel - Class in jline.examples.java.advanced: Examples of model initialization
InitStateModel() - Constructor for class jline.examples.java.advanced.InitStateModel
InitStateTwins - Class in jline.examples.parity: python/examples/advanced/initState/: the initial state a transient starts from, and the priors that select it.
initUsedFeatures() - Method in class jline.lang.layered.LayeredNetwork: Initialize the used features for each model in the ensemble
Inner(Matrix, Matrix, Matrix, Matrix, Matrix, double, String) - Constructor for class jline.solvers.tr.TransformSolve.Inner
input - Variable in class jline.lang.nodes.Node
inputJobClasses - Variable in class jline.lang.sections.CacheClassSwitcher
InputJobClassesObj(JobClass, SchedStrategyType, DropStrategy) - Constructor for class jline.lang.sections.CacheClassSwitcher.InputJobClassesObj
InputOutput - Class in jline.io
Inputs() - Constructor for class jline.api.retrieval.Cache_retrieval_inputs.Inputs
InputSection - Class in jline.lang.sections: Input section of a station
InputSection(String) - Constructor for class jline.lang.sections.InputSection
insert(int[]) - Method in class jline.api.mdd.MDD: Add a K-tuple of 0-based local values to the set.
insertSubMatrix(int, int, int, int, Matrix) - Method in class jline.util.matrix.Matrix: Inserts a sub-matrix into the current matrix at the specified location.
inspace - Variable in class jline.lang.state.EventCacheKey
inspectFeature(String) - Method in class jline.lang.FeatureSet: Checks whether the given feature is used or not in the current feature set
installQueueServer() - Method in class jline.lang.nodes.Place: Installs the concrete server section matching the place's scheduling strategy, replacing the default ServiceTunnel pass-through used by ordinary places.
instance() - Static method in class jline.lang.processes.Disabled
INSTANCE - Static variable in class jline.unified.ModelRegistry
integerMapToMatrix(Map<Integer, List<Integer[]>>) - Method in class jline.solvers.ln.SolverLN
integExp(Matrix, double) - Static method in class jline.lib.butools.mam.FluidTools: int_0^L expm(KA u) du, robust when KA has a zero eigenvalue (deflation).
integExp2(Matrix, Matrix, double) - Static method in class jline.lib.butools.mam.FluidTools: {int_0^L expm(KA u)du, int_0^L expm(KB u)du}, applying deflation to the near-singular one.
integrate(int, Rodas.Fcn, double, double[], double, double, double[], double[], int, Rodas.Options) - Static method in class jline.util.ode.Rodas: Integrate M y' = f(x,y) from x to xend.
integrate(OdeFunction, double[], double[], double, double, double, double, int) - Method in class jline.lib.ode.RKF45
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class jline.solvers.fluid.LSODAExt
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class odesolver.LSODA: the ODE integrating method
integratorFor(double, double, double, boolean) - Method in class jline.solvers.SolverOptions.ODESolvers: The non-stiff integrator to use over [t0,t1], under the same odeset MaxStep default as SolverOptions.ODESolvers.stiffIntegratorFor(double, double, double, boolean).
intensity(int, int) - Method in class jline.api.sn.SnMapModulation.MapModulation
Interaction(SequenceDiagramTraverser.Interaction.Type, Task, Task, Entry, Activity, double, int) - Constructor for class jline.io.tikz.SequenceDiagramTraverser.Interaction
interarrivalTime - Variable in class jline.api.mam.Mmap_sample.MarkedSample
interdepMean - Variable in class jline.api.qsys.QsysTandemLindleyResult: Conditional mean upstream interdeparture time, 1/mu1 + q/lambda.
interlock - Variable in class jline.solvers.SolverOptions.Config: Interlock matrix of Franks (1999), Eq.
interlock_chain - Variable in class jline.solvers.SolverOptions.Config: The same matrix aggregated to the chain basis, set by the AMVA handler for the iteration it is about to run.
interlock_maxpaths - Variable in class jline.solvers.SolverOptions.Config: refpath refuses a layer whose reference path carries more routes than this.
interlock_method - Variable in class jline.solvers.SolverOptions.Config: SolverLN interlock tracking method, read only when interlocking is on: "ilrate" (the rate discount of Franks (1999), Eq.
interlock_refpath_scope - Variable in class jline.solvers.SolverOptions.Config: Which layers refpath transforms: "merging" (two or more callers of one REF task) or "all".
interlocking - Variable in class jline.solvers.SolverOptions.Config: Enable interlocking optimization
interlockMethod - Variable in class jline.solvers.ln.SolverLN: Interlock tracking method this run uses, resolved ONCE in buildLayers by lnInterlockMethod: 'ilrate', 'refpath' or 'none'.
interlockMethodFor() - Method in class jline.solvers.ln.SolverLN: The interlock tracking method a solve uses, as {method, why}, through the same query buildLayers asks.
interp(double[], double[][], double, int) - Static method in class jline.solvers.fluid.FluidInterp: Interpolates the trajectory (t, y) at time tq.
interp(double[], double[], double) - Static method in class jline.api.qsys.Qsys_gtmtst_fluid: Linear interpolation on an increasing grid, clamped at both ends.
interpolate() - Method in class jline.inference.lang.ParamEstimator
interpolate(double[], double[], double[]) - Static method in class jline.inference.util.SplineInterpolator: Interpolate data at new x-values using cubic spline interpolation.
interpolatePercentile(double[], double[], double) - Static method in class jline.solvers.mam.handlers.Solver_mam_fj: Interpolate percentile from stored results.
intersect(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Computes the intersection of scalar values present in two matrices.
Interval(int, int) - Constructor for class jline.solvers.uq.SolverUQ.Interval
intervalByMVA() - Method in class jline.solvers.uq.SolverUQ: Exact hull through Pfqn_mva_interval.
intervalBySampling(String) - Method in class jline.solvers.uq.SolverUQ: Range of each metric across the alternatives that were solved.
intervalPdfFromME(Matrix, Matrix, double[]) - Static method in class jline.lib.butools.ph.IntervalPdfFromPH: Returns the approximate probability density function of a matrix-exponential distribution, based on the probability of falling into intervals.
intervalPdfFromPH(Matrix, Matrix, double[]) - Static method in class jline.lib.butools.ph.IntervalPdfFromPH: Returns the approximate probability density function of a continuous phase-type distribution, based on the probability of falling into intervals.
IntervalPdfFromPH - Class in jline.lib.butools.ph
inv() - Method in class jline.util.matrix.Matrix: Computes the inverse of the matrix.
inv(Matrix) - Static method in class jline.util.matrix.Matrix: Computes the inverse of the given matrix.
invalidateActivity(int) - Method in class jline.lang.workflow.Workflow: Mark the law of one activity dirty, keeping the topology and every other cached block.
invalidateStruct() - Method in class jline.lang.nodes.Station: Discards any cached NetworkStruct after a change this station's DERIVED struct fields depend on (cap, classCap, numberOfServers, dropRule).
invalidateTopology() - Method in class jline.lang.workflow.Workflow: Discard the cached law and decomposition, after a change that can alter the shape of the series-parallel tree.
invariantError - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
invariantLabel - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
invariantValue - Variable in class jline.api.mdd.MddDescriptor: Value of the invariant when invariantWeights is set.
invariantValue - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
invariantWeights - Variable in class jline.api.mdd.MddDescriptor: Optional conservation law as weights' * QLen = value, overriding the closed-population test.
invertStatic(DMatrix, DMatrix) - Static method in class jline.util.matrix.DenseMatrix
invertStatic(DMatrix, DMatrixRMaj) - Static method in class jline.util.matrix.SparseMatrix
invertSymbol - Variable in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult: True if event filtrations are divided by their symbol instead of multiplied
involvedTasks - Variable in class jline.io.tikz.SequenceDiagramTraverser.Fragment
iout - Variable in class jline.util.ode.Rodas.Options: 1 to call Rodas.Options.solout after each accepted step.
iqr - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
IS - Enum constant in enum jline.lib.butools.mam.GM1FundamentalMatrix.GM1Method
IS - Enum constant in enum jline.lib.butools.mam.MG1FundamentalMatrix.MG1Method
isActIdx(int) - Method in class jline.lang.layered.LayeredNetworkStruct
isActive() - Static method in class jline.io.LineConsole
isAcyclicGenerator(Matrix) - Static method in class jline.lang.workflow.Workflow: True when the phase graph of T has no cycle.
isaggregate - Variable in class jline.solvers.ctmc.SolverCTMC.SampleResult
isaggregate - Variable in class jline.solvers.ssa.SampleNodeState: Whether this represents aggregate data
isaggregate - Variable in class jline.solvers.ssa.SampleSysState: Whether this represents aggregate data
isAggregate - Variable in class jline.io.Ret.SampleResult: Indicates whether the result uses aggregated states.
isAggregate() - Method in class jline.inference.lang.SampledMetric: Check if this metric applies to all classes (aggregate).
isAggregated - Variable in class jline.io.Ret.ProbabilityResult: Indicates whether the result is for an aggregated state space.
isAggregated - Variable in class jline.lang.ModelAdapter.DeaggInfo
isAllDistinct - Variable in class jline.solvers.mam.handlers.PriorityAnalysis
isAoI() - Method in class jline.api.aoi.AoiValidationResult
isAssigned(int, int) - Method in class jline.util.matrix.Matrix: Checks whether a specific element is assigned in the sparse matrix.
isasynccaller - Variable in class jline.lang.layered.LayeredNetworkStruct
isAsyncDashed() - Method in class jline.io.tikz.SequenceDiagramOptions
isAutoFormatSwitch() - Static method in class jline.util.matrix.Matrix: Returns whether automatic format switching is enabled.
isAutonomous() - Method in class jline.solvers.fluid.handlers.PassageTimeODE: Whether the drift is AUTONOMOUS, i.e.
isAvailable() - Method in class jline.api.sym.SageRestEngine
isAvailable() - Method in interface jline.api.sym.SymEngine: True if the engine answers a health probe.
isAvailable() - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: True if LQNS can run: a native lqns binary is on the PATH.
isbasblocking - Variable in class jline.lang.NetworkStruct: (nnodes,1) 1 iff the node is the upstream/blocking side of a true-BAS relation (BUG-83).
isbasdestination - Variable in class jline.lang.NetworkStruct: (nstations,nclasses) 1 iff refusing an arrival of that class here must BLOCK an upstream BAS station rather than lose the job.
isBasModel(NetworkStruct) - Static method in class jline.solvers.mva.analyzers.Solver_mva_analyzer: Detects a closed single-chain network with Blocking-After-Service (BAS) finite-buffer blocking, which the Solver_sqd approximation handles but exact/AMVA MVA does not.
isBatch(ProcessType) - Static method in enum jline.lang.constant.ProcessType: True when an EVENT of this process releases (or, as a service process, completes) a BATCH of jobs whose size the process itself carries in its blocks.
iscache - Variable in class jline.lang.layered.LayeredNetworkStruct
iscaller - Variable in class jline.lang.layered.LayeredNetworkStruct
iscatastrophe - Variable in class jline.lang.NetworkStruct
isCatastrophe - Variable in class jline.solvers.ag.handlers.ActionInfo
isCatastrophe() - Method in class jline.lang.ClosedSignal: Returns whether this signal is a catastrophe (removes all jobs).
isCatastrophe() - Method in class jline.lang.OpenSignal: Returns whether this signal is a catastrophe (removes all jobs).
isCatastrophe() - Method in class jline.lang.Signal: Returns whether this signal is a catastrophe (removes all jobs).
isCatastropheSignal(NetworkStruct, int) - Static method in class jline.lang.state.SignalRemoval: True if the signal empties a station on arrival.
isChainSolver() - Method in class jline.solvers.ctmc.SolverCTMC
isClosedModel() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model is closed (only closed classes)
isClosedPopulationMethod(String) - Static method in class jline.solvers.mva.SolverMVA: Whether the name, alias stripped, is one of the closed-population algorithms.
isCntol(double) - Static method in class jline.api.pfqn.mva.Pfqn_cntol: True when tol is the sentinel requesting the Chandy-Neuse test.
isCompatible(JobClass) - Method in class jline.lang.constant.ServerType: Checks if a job class is compatible with this server type.
isCompletion - Variable in class jline.lang.state.State.EventHandleResult: Column vector, one entry per row of outspace: 1.0 when that outcome is a firing completion (a D1 firing of the active mode, which applies the PRE/POST place updates), 0.0 otherwise.
isConditional() - Method in class jline.inference.lang.SampledMetric: Check if this metric has a conditioning event.
isConnected() - Method in class jline.streaming.OtlpMetricsClient: Check if the client is connected and ready.
isConnectionFailed() - Method in class jline.streaming.HttpMetricsClient: Check if connection has failed.
isConsistentWithMatlab() - Method in class jline.lang.NetworkStruct: Checks if this NetworkStruct is consistent with MATLAB implementation.
isContinuous() - Method in class jline.lang.processes.Det
isContinuous() - Method in class jline.lang.processes.Distribution: Checks if this is a continuous distribution.
isConverged() - Method in class jline.opt.results.WorkflowResult
isCostCapGlobal() - Method in class jline.lang.nodes.Cache: Reports whether the cost caps were declared as a single cache-wide cap.
isCyclic() - Method in class jline.lang.processes.BMMAPt
isCyclic() - Method in class jline.lang.processes.MAPt
isCyclic() - Method in class jline.lang.processes.MAPt.RateSchedule
isCyclic() - Method in class jline.lang.processes.MMAPt
isCyclic() - Method in class jline.lang.processes.MPHt
isCyclic() - Method in class jline.lang.processes.NHPP: Whether the schedule repeats with period NHPP.getPeriod().
isCyclic() - Method in class jline.lang.processes.NHPP.RateSchedule
isCyclic() - Method in class jline.lang.processes.PHt
isCyclic() - Method in class jline.lang.processes.PHt.RateSchedule
isDAG(Matrix) - Static method in class jline.util.graph.DirectedGraph: Tests if the given adjacency matrix represents a Directed Acyclic Graph (DAG).
isDefined() - Method in class jline.api.sym.SymEngine.Measure
isDelayOffEnabled() - Method in class jline.lang.nodes.Queue: Checks if this queue has delay-off times enabled.
isDense() - Method in class jline.util.matrix.Matrix: Returns true if this matrix is backed by dense (row-major) storage.
isDenseFormat() - Method in class jline.util.matrix.BaseMatrix: Returns true if this storage is dense (row-major), false if sparse (CSC).
isDenseFormat() - Method in class jline.util.matrix.DenseMatrix: Returns true: this storage is dense (row-major).
isDenseFormat() - Method in class jline.util.matrix.SparseMatrix: Returns false: this storage is sparse (CSC).
isDiag() - Method in class jline.util.matrix.Matrix: Determines whether the matrix is a diagonal matrix.
isDisabled - Variable in class jline.lang.Metric
isDisabled() - Method in class jline.lang.processes.Det
isDisabled() - Method in class jline.lang.processes.Disabled
isDisabled() - Method in class jline.lang.processes.DiscreteSampler
isDisabled() - Method in class jline.lang.processes.Distribution: Checks if this is a disabled distribution.
isDisabled() - Method in class jline.lang.processes.Immediate
isDiscrete() - Method in class jline.lang.processes.Det
isDiscrete() - Method in class jline.lang.processes.Distribution: Checks if this is a discrete distribution.
isDiscreteChain() - Method in class jline.solvers.ctmc.SolverCTMC
isDiscreteTime - Variable in class jline.api.sn.SnIsDiscreteTime.Result
isEmpty() - Method in class jline.api.fj.FJ_quorum.StepCDF
isEmpty() - Method in class jline.lang.nodeparam.CacheNodeParam: Checks if this cache parameter container is empty (no parameters are set).
isEmpty() - Method in class jline.lang.nodeparam.ForkNodeParam: Checks if this fork parameter container is empty (no fan-out configured).
isEmpty() - Method in class jline.lang.NodeParam: Checks if this NodeParam contains no configuration data.
isEmpty() - Method in class jline.lang.nodeparam.JoinNodeParam: Checks if this join parameter container is empty (no join configuration set).
isEmpty() - Method in class jline.lang.nodeparam.LoggerNodeParam: Checks if this logger parameter container is empty (no logging configuration set).
isEmpty() - Method in class jline.lang.nodeparam.QueueNodeParam: Checks if this queue parameter container is empty.
isEmpty() - Method in class jline.lang.nodeparam.ReplayerNodeParam: Checks if this replayer parameter container is empty (no trace files configured).
isEmpty() - Method in class jline.lang.nodeparam.ServiceNodeParam: Checks if this service parameter container is empty.
isEmpty() - Method in class jline.lang.nodeparam.TransitionNodeParam
isEmpty() - Method in class jline.opt.results.SensitivityData
isEmpty() - Method in class jline.solvers.AvgHandle: Checks if this handle contains no metrics.
isEmpty() - Method in class jline.util.matrix.ComplexMatrix: Checks if this complex matrix is empty (both real and imaginary parts have no elements).
isEmpty() - Method in class jline.util.matrix.Matrix: Checks if the matrix is empty (has zero rows or columns).
isEmpty() - Method in class jline.util.matrix.MatrixCell: Checks whether this MatrixCell contains any matrices.
isEmpty() - Method in class jline.util.matrix.SymMatrix
isEnabled() - Static method in class jline.io.LineResultRecorder: True when a run asked to record.
isEnabled() - Method in class jline.lang.state.EventCache
isEntryIdx(int) - Method in class jline.lang.layered.LayeredNetworkStruct
isEqualTo(Matrix) - Method in class jline.util.matrix.Matrix: Checks if two matrices are exactly equal.
isEqualToTol(Matrix, double) - Method in class jline.util.matrix.Matrix: Checks if two matrices are equal within a specified tolerance.
isErgodic - Variable in class jline.lang.Network.RoutingErgodicityResult
isExponential - Variable in class jline.api.sn.SnPatienceHandles.Handles: Whether the law is exponential, in which case the analysis is exact.
isExt - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
isFeasible() - Method in class jline.lang.processes.MarkovChain
isFeasible() - Method in class jline.lang.processes.MarkovProcess
isFeasible() - Method in class jline.opt.results.OptimizationResult
isFeasible(Matrix, Matrix) - Static method in class jline.lang.processes.MMDP: Checks if the given (Q, R) matrices define a valid MMDP.
isfinite - Variable in class jline.lang.processes.MarkovChain
isfinite - Variable in class jline.lang.processes.MarkovProcess
isFinite() - Method in class jline.lang.processes.MarkovChain: Check if the DTMC is finite
isFinite() - Method in class jline.lang.processes.MarkovProcess: Check if the CTMC is finite
isFinite() - Method in class jline.util.matrix.Matrix: Checks whether all matrix elements are finite.
isFirstBlockRow() - Method in class jline.lib.smc.NSFGHTOptions
isFirstBlockRow() - Method in class jline.lib.smc.NSFPiOptions
isfjaugmented - Variable in class jline.lang.NetworkStruct
isFJAugmented - Variable in class jline.lang.Network
isForceStiff() - Method in class odesolver.LSODA: Whether this integrator is pinned to the BDF half.
isGeomProc - Variable in class jline.solvers.ag.handlers.INAPResult
isHasMultiChainCS() - Method in class jline.gen.NetworkGenerator
isHasMultiServerQueues() - Method in class jline.gen.NetworkGenerator
isHasRandomCSNodes() - Method in class jline.gen.NetworkGenerator
isHasVaryingServiceRates() - Method in class jline.gen.NetworkGenerator
isHeterogeneous() - Method in class jline.lang.nodes.Queue: Checks if this queue is configured as a heterogeneous multiserver queue.
isHeterogeneousStation(int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Checks if a station has heterogeneous server configuration.
isHideAutoGeneratedNodes() - Method in class jline.io.tikz.TikZOptions
isHomogeneous(NetworkStruct) - Static method in class jline.api.fj.FJValidation: Checks for a single fork-join pair with homogeneous parallel branches.
ishost - Variable in class jline.solvers.ln.SolverLN.PHLayer: True when the server is a processor.
isHostIdx(int) - Method in class jline.lang.layered.LayeredNetworkStruct
isIdentical - Variable in class jline.solvers.mam.handlers.PriorityAnalysis
isImmediate() - Method in class jline.lang.processes.Det
isImmediate() - Method in class jline.lang.processes.Disabled
isImmediate() - Method in class jline.lang.processes.Distribution: Checks if this distribution has immediate (zero) service time.
isImmediate() - Method in class jline.lang.processes.Immediate
isImmediateFeedbackAll() - Method in class jline.lang.nodes.Queue: Checks if immediate feedback is enabled for all classes.
isInf(double) - Static method in class jline.util.Utils: Checks if a value represents infinity.
isInfStation - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs: S holds the population at an INF station, so isInfinite(S) cannot tell one apart.
isInitializeStates() - Method in class jline.gen.NetworkGenerator
isInteger() - Method in class jline.util.matrix.Matrix: Checks if all values in the matrix are integers.
isJavaAvailable() - Method in class jline.solvers.Solver: Checks if Java runtime is available for solver execution.
isJavaNative() - Method in class jline.lang.Network: Checks if this network is a Java native (JNetwork) implementation.
isLayered() - Method in class jline.opt.LineEvaluator: True if this evaluator drives a LayeredNetwork (LQN) model.
isLayered() - Method in class jline.opt.OptimizationProblem: True if the model is a LayeredNetwork (LQN).
isLayered(Object) - Static method in class jline.opt.LqnAdapter: True if the model is a LayeredNetwork (LQN), false for a flat Network.
isLibraryAttributionShown() - Static method in class jline.lang.GlobalConstants: Check if library attribution message has been shown.
isLimitedLoadDependent() - Method in class jline.lang.Network
isLive() - Method in class jline.solvers.ag.AgWorkerClient
isMarked(ProcessType) - Static method in enum jline.lang.constant.ProcessType: True when the type carries PER-MARK arrival blocks, i.e.
isMarkedSchedule(ProcessType) - Static method in enum jline.lang.constant.ProcessType: True when sn.proc holds the MARKED SCHEDULE slot, {breakpoints, D0 segments, D1_agg segments, cyclic, per-mark segments}.
isMarkedStationary(ProcessType) - Static method in enum jline.lang.constant.ProcessType: True when sn.proc holds the STATIONARY marked cell, the M3A layout {D0, D1_agg, D11, ..., D1K}.
isMarkovian() - Method in class jline.lang.processes.Distribution: Check if this distribution is Markovian (has a matrix process representation)
isMarkovian(ProcessType) - Static method in enum jline.lang.constant.ProcessType: True when sn.proc carries an exact matrix representation of a process of this type: a genuine (D0,D1) pair, or its matrix-exponential analogue for ME/RAP.
isMatlabNative() - Method in class jline.lang.Network: Checks if this network is a MATLAB native (MNetwork) implementation.
ismember - Variable in class jline.api.lqn.LqnRefRoutes.Group: True where that entry's task is a caller of this layer.
isMethodAlias(String, String, List<String>) - Static method in class jline.solvers.auto.SolverAUTO: Is name a second spelling of another method this family declares?
isMinimization() - Method in class jline.opt.objectives.MaximizePerformance
isMinimization() - Method in class jline.opt.objectives.MinimizeCost
isMinimization() - Method in class jline.opt.objectives.MinimizeSystemResponseTime
isMinimization() - Method in class jline.opt.objectives.Objective
isMixedModel() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model is mixed (has both open and closed classes)
ismkvmodclass - Variable in class jline.lang.state.AfterEventContext: Per-node (R x 1) indicator of MAP/MMPP2/BMAP service; stations only.
isMmck - Variable in class jline.solvers.mam.handlers.Mam_detect_mmck.Result: true if the M/M/c/K closed form is exact at this station.
isMMPP - Variable in class jline.api.sn.SnMapModulation.MapModulation: True when every D1 block is diagonal, i.e.
isMMPP - Variable in class jline.io.MAPQN2RENV.RenvImage: True when every modulated process was an MMPP (diagonal D1).
isNegative - Variable in class jline.io.Ret.ActionMapEntry
isNegative - Variable in class jline.solvers.ag.handlers.ActionInfo
isNegative() - Method in class jline.lang.processes.ME.NegativeDensityScan
isNHPP() - Method in class jline.lang.processes.Replayer: Test whether the trace is a sample path of a NON-HOMOGENEOUS POISSON process, by the conditional-uniform KS test with the Lewis refinement (InferNhppKs.infer_nhpp_ks(double[], double)).
isNumStable - Variable in class jline.io.Ret.pfqnMVALD
isolatedModel - Variable in class jline.api.fes.FESDeaggInfo
isOne() - Method in class jline.util.symbolic.SymExpr
isOpen - Variable in class jline.lang.Network.BindingCapacity
isOpen - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
isOpenChain - Variable in class jline.lang.ModelAdapter.DeaggInfo
isOpenModel() - Method in class jline.solvers.auto.ModelAnalyzer: Check if model is open (has open classes and no closed classes)
isParallel(String) - Static method in class jline.solvers.ag.AgExec: True for either accepted spelling of the local-thread-pool backend.
isPdfLatexAvailable() - Static method in class jline.io.tikz.TikZExporter: Checks if pdflatex is available on the system.
isPdfViewerAvailable() - Static method in class jline.io.tikz.TikZViewer: Checks if a PDF viewer is available on the system.
isph - Variable in class jline.lang.NetworkStruct: True where the process representation is Markovian, so that mu, phi and pie carry their probabilistic reading.
isPH - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
isPHEncoding() - Method in class jline.solvers.ln.SolverLN: True when the layers carry the COMPOSED phase-type server law rather than the routing encoding of the activity graph, under either layering.
isPhysicalCapacity(NetworkStruct, int, int) - Static method in class jline.lang.state.State: True when the capacity bound at station ist for jobClass is a PHYSICAL finite capacity (setCapacity/setClassCapacity), as opposed to a state-space CUTOFF imposed on an open class only to bound enumeration.
isPooled(NetworkStruct, int) - Static method in class jline.lang.state.AfterEventStationPool: True when node ind is a pooled station of this (CTMC) struct.
isPrior() - Method in class jline.lang.processes.Prior
isPriorDistribution(Distribution) - Static method in class jline.lang.processes.Prior: Static method to check if a distribution is a Prior.
isQlenApproximate() - Method in class jline.solvers.NetworkMomentResult: Whether the queue-length moments are approximate rather than exact.
isQnsMethod(String) - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: True for "qns" and every "qns.NAME".
isQNSolverAvailable() - Static method in class jline.solvers.wrappers.lqns.qnsolver.Solver_qns_analyzer: Check if qnsolver can be run: a native binary on the PATH.
isQueueing() - Method in class jline.lang.nodes.Place
isrec - Variable in class jline.api.mc.Ctmc_solve_reducible.CtmcSolveReducibleResult
isrec - Variable in class jline.api.mc.Dtmc_solve_reducible.DtmcSolveReducibleResult
isReducible - Variable in class jline.lang.Network.RoutingErgodicityResult
isReducible - Variable in class jline.lang.RoutingErgodicity.ReducibilityInfo: True when the routing creates a reducible structure.
isref - Variable in class jline.lang.layered.LayeredNetworkStruct
isrefclass - Variable in class jline.lang.JobClass
isReferenceClass() - Method in class jline.lang.JobClass: Checks if this is a reference job class within its chain.
isReferenceStation() - Method in class jline.lang.nodes.Node: Checks if this node is a reference station.
isReferenceStation() - Method in class jline.lang.nodes.Station
isReferenceStation(Node) - Method in class jline.lang.JobClass: Checks if the specified node is the reference station for this class.
isRequested(SolverOptions) - Static method in class jline.solvers.tr.TransformSolve: Whether a transformation was asked for at all.
isResolveChildrenByName() - Method in class jline.io.WfCommonsOptions: Check if child and parent references fall back to task names when no task id matches.
isRetrial() - Method in class jline.api.qsys.RetrialInfo
isRoutingErgodic - Variable in class jline.lang.RoutingErgodicity.ReducibilityInfo: True when the routing is ergodic (irreducible).
isRoutingErgodic() - Method in class jline.lang.Network: Check if the queueing network routing matrix is ergodic (irreducible).
isRoutingErgodic(RoutingMatrix) - Method in class jline.lang.Network: Check if the queueing network routing matrix is ergodic (irreducible).
isRunnable() - Method in class jline.solvers.auto.SolverCandidate
isSatisfied(EvaluationResult, Map<String, Object>, double) - Method in class jline.opt.objectives.Constraint
isSelfLoop(Node, Node) - Method in class jline.io.tikz.TikZEdgeRouter: Checks if this edge is a self-loop.
isServiceDefined() - Method in class jline.lang.nodes.Station: Checks which job classes have defined service processes.
isServiceDefined(JobClass) - Method in class jline.lang.nodes.Station: Checks if a specific job class has a defined service process.
isServiceDisabled() - Method in class jline.lang.nodes.Station: Checks which job classes have disabled service processes.
isServiceDisabled(JobClass) - Method in class jline.lang.nodes.Station: Checks if a specific job class has a disabled service process.
isShowCallMeans() - Method in class jline.io.tikz.SequenceDiagramOptions
isShowEntryNames() - Method in class jline.io.tikz.SequenceDiagramOptions
isShowHostDemand() - Method in class jline.io.tikz.SequenceDiagramOptions
isShowNodeNames() - Method in class jline.io.tikz.TikZOptions
isShowProcessorFrames() - Method in class jline.io.tikz.SequenceDiagramOptions
isShowReplies() - Method in class jline.io.tikz.SequenceDiagramOptions
isShowRoutingProb() - Method in class jline.io.tikz.TikZOptions
isShowScheduling() - Method in class jline.io.tikz.TikZOptions
isShowServerCount() - Method in class jline.io.tikz.TikZOptions
issignal - Variable in class jline.lang.NetworkStruct
isSimulation - Variable in class jline.lang.state.EventCacheKey
isSizeBasedPolicy(SchedStrategy) - Static method in class jline.solvers.mva.analyzers.Solver_mva_qsys_sizebased_analyzer: True for the five disciplines this analyzer serves.
isslc - Variable in class jline.lang.NetworkStruct
isSlotted(SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer: True when the caller asked for the discrete-time route.
isSource - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
isSparse() - Method in class jline.util.matrix.Matrix: Returns true if this matrix is backed by sparse (CSC) storage.
isSrvnPH() - Method in class jline.solvers.ln.SolverLN: True when the layers are the collapsed phase-type ones of method 'srvn.ph'.
isstatedep - Variable in class jline.lang.NetworkStruct
isstateful - Variable in class jline.lang.NetworkStruct
isStateful() - Method in class jline.lang.nodes.Node: Checks if this node maintains state between job visits.
isStateSpaceTractable(Network, SolverOptions) - Static method in class jline.solvers.ctmc.SolverCTMC: True when the worst-case CTMC state space of the model fits the host memory budget.
isStateValid() - Method in class jline.lang.Network
isstation - Variable in class jline.lang.NetworkStruct
isStation() - Method in class jline.lang.nodes.Node: Checks whether this node is a station, i.e.
isStochastic() - Method in class jline.solvers.auto.SolverAUTO: If a delegate solver has been selected, classify by it (once run, it knows the method it resolved at runtime).
isStochastic() - Method in class jline.solvers.EnsembleSolver: An ensemble solver is stochastic if any of its submodel solvers is stochastic.
isStochastic() - Method in class jline.solvers.Solver: Checks whether the solver, with its currently configured method, returns stochastic estimates, i.e.
isStochasticMethod(String) - Method in class jline.solvers.ldes.SolverLDES: LDES is a discrete-event simulator; all methods are stochastic.
isStochasticMethod(String) - Method in class jline.solvers.nc.SolverNC: NC is deterministic except for the Monte Carlo integration methods (mci/imci), logistic sampling (ls), and the sampling method, whose estimates depend on the random seed.
isStochasticMethod(String) - Method in class jline.solvers.Solver: Classifies a (possibly runtime-resolved) method name of this solver as stochastic.
isStochasticMethod(String) - Method in class jline.solvers.ssa.SolverSSA: All SSA methods are stochastic simulation.
isStochasticMethod(String) - Method in class jline.solvers.wrappers.jmt.SolverJMT: Simulation-based methods (default, jsim) return stochastic estimates.
isStochasticMethod(String) - Method in class jline.solvers.wrappers.lqns.SolverLQNS: The lqsim simulator is stochastic; the analytical lqns/srvn methods are deterministic.
isStoreMetadata() - Method in class jline.io.WfCommonsOptions: Check if metadata should be stored.
isSuccess() - Method in class jline.api.mam.QPResult
isSuccess() - Method in class jline.util.ode.Rodas.Result
isSuccessful() - Method in class jline.lang.Metric
isSupported - Variable in class jline.solvers.mam.handlers.PriorityAnalysis
isSupported(SchedStrategy) - Static method in class jline.solvers.fluid.moments.FluidRateFactors: Scheduling disciplines with a branch below.
issynccaller - Variable in class jline.lang.layered.LayeredNetworkStruct
isSystemWide() - Method in class jline.io.Ret.SampleResult: Checks if this is a system-wide sampling result.
ist - Variable in class jline.api.sn.SnMapModulation.MapModulation: Station index of the modulated process.
ist - Variable in class jline.solvers.ag.handlers.RcatComponent
isTaskIdx(int) - Method in class jline.lang.layered.LayeredNetworkStruct
istate - Variable in class odesolver.LSODA
isTimed(PetriMode) - Static method in class jline.solvers.fluid.petri.PetriSystem: Whether a mode is timed, spelled once.
isTrace() - Method in class jline.inference.lang.SampledMetric: Check if this metric is in trace format.
isTransient - Variable in class jline.io.Ret.DistributionResult: Indicates whether this is a transient distribution.
isUnderlineObjectNames() - Method in class jline.io.tikz.SequenceDiagramOptions
isUsable() - Method in class jline.api.sym.SageRestEngine: Checks that the service can actually EVALUATE, not merely that it answers.
isUseExecutionData() - Method in class jline.io.WfCommonsOptions: Check if execution data should be used.
isValid - Variable in class jline.api.fj.FJInfo
isValid() - Method in class jline.api.fj.FJInfo
isValid() - Method in class jline.opt.OptimizationProblem
isValid(Network, Matrix, Matrix) - Static method in class jline.lang.state.State
isValid(NetworkStruct, Matrix, Matrix) - Static method in class jline.lang.state.State
isValidOption(String) - Method in class jline.solvers.Solver: Checks if the specified option name is valid for this solver.
isVerbose() - Method in class jline.api.fes.FESOptions: Whether verbose output is enabled.
isVerbose() - Method in class jline.lib.m3a.M3aCompressOptions
isVerbose() - Method in class jline.lib.smc.MG1PiOptions
isVerbose() - Method in class jline.lib.smc.NSFPiOptions
isZero() - Method in class jline.util.symbolic.SymExpr
it - Variable in class jline.api.da.Da_cacheqn_retrieval.Result
it - Variable in class jline.api.da.Da_fpi.Result
it - Variable in class jline.api.sum.Sum_closed.Result: number of iterations
it - Variable in class jline.api.sum.Sum_closing.Result: number of iterations
it - Variable in class jline.io.Ret.cacheXiFp
it - Variable in class jline.io.Ret.pfqnBkLc
it - Variable in class jline.solvers.nc.NCResult
it - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
it - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
item - Variable in class jline.api.cache.Cache_cost_pathcheck.BlockedPair
itemAvgT() - Method in class jline.solvers.NetworkSolver
itemcap - Variable in class jline.lang.layered.LayeredNetworkStruct
itemcap - Variable in class jline.lang.nodeparam.CacheNodeParam: Capacity matrix specifying maximum number of each item type [items x 1]
ItemEntry - Class in jline.lang.layered: A caching service that gives access to items
ItemEntry(LayeredNetwork, String, int, Distribution) - Constructor for class jline.lang.layered.ItemEntry
itemLevelCap - Variable in class jline.lang.layered.CacheTask
itemproc - Variable in class jline.lang.layered.LayeredNetworkStruct: Deprecated.
itemproc_mean - Variable in class jline.lang.layered.LayeredNetworkStruct
itemproc_params - Variable in class jline.lang.layered.LayeredNetworkStruct
itemproc_proc - Variable in class jline.lang.layered.LayeredNetworkStruct
itemproc_scv - Variable in class jline.lang.layered.LayeredNetworkStruct
itemproc_type - Variable in class jline.lang.layered.LayeredNetworkStruct
items - Variable in class jline.lang.layered.CacheTask
ItemSet - Class in jline.lang: A set of cacheable items
ItemSet(Network, String, int, Cache) - Constructor for class jline.lang.ItemSet
itemsize - Variable in class jline.lang.nodeparam.CacheNodeParam: Per-item storage cost (size) [1 x items]; null when unset
iter - Variable in class jline.api.cache.Cache_spm_size.Result: Newton iterations used.
iter - Variable in class jline.api.lqn.Lqn_mol.Result: Iterations performed.
iter - Variable in class jline.api.mc.Ctmc_bicgstab.BicgstabResult
iter - Variable in class jline.api.mc.Ctmc_gmres.GmresResult
iter - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: Newton steps taken.
iter - Variable in class jline.api.pfqn.ld.Pfqn_qdamva.Result: Number of iterations performed.
iter - Variable in class jline.api.pfqn.ld.Pfqn_qdlin.Result: Number of forward evaluations performed.
iter - Variable in class jline.api.pfqn.mva.Pfqn_looping.Result: Iterations performed.
iter - Variable in class jline.api.pfqn.mva.Pfqn_mvasjn.Result: Iterations performed, one for the lattice recursion.
iter - Variable in class jline.api.pfqn.Pfqn_marie.MultiResult
iter - Variable in class jline.api.pfqn.Pfqn_marie.Result
iter - Variable in class jline.api.retrieval.Retrieval_rayint.Result: Newton iterations used.
iter - Variable in class jline.inference.api.VariationalResult
iter - Variable in class jline.io.Ret.LinearizerResult
iter - Variable in class jline.io.Ret.pfqnAB: Number of iterations
iter - Variable in class jline.io.Ret.pfqnSchmidt: Number of iterations (states enumerated)
iter - Variable in class jline.io.Ret.pfqnSensLinearizer
iter - Variable in class jline.solvers.ag.AGResult: Sweeps taken by the reversed-rate fixed point.
iter - Variable in class jline.solvers.ag.handlers.INAPResult
iter - Variable in class jline.solvers.fj.FJFixedPoint.FJOutcome
iter - Variable in class jline.solvers.mam.MAMResult
iter - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
iter - Variable in class jline.solvers.SolverResult: Number of iterations performed by iterative solvers
iter - Variable in class jline.solvers.tr.TransformSolve.Result
iter(long, String, Object...) - Static method in class jline.io.LineConsole: Report iteration k of the current loop.
iter_max - Variable in class jline.api.lqn.Lqn_mol.Options
iter_max - Variable in class jline.solvers.SolverOptions: Maximum number of iterations for iterative algorithms
ITER_MAX - Static variable in class jline.api.fes.Fes_map_moments: Maximum number of Euler integration steps.
iter_tol - Variable in class jline.api.lqn.Lqn_mol.Options
iter_tol - Variable in class jline.solvers.SolverOptions: Tolerance for iteration convergence
iterate() - Method in class jline.solvers.EnsembleSolver
iterated - Variable in class jline.solvers.tr.TransformSolve.Expanded: False for a single-pass transformation, which is the default.
iteration - Variable in class jline.bench.fj.BenchFJ_Closed.BenchmarkResult
iteration - Variable in class jline.bench.fj.BenchFJ_Mixed.BenchmarkResult
iteration - Variable in class jline.bench.fj.BenchFJ_Nested.BenchmarkResult
iteration - Variable in class jline.bench.fj.BenchFJ_Open.BenchmarkResult
iterations - Variable in class jline.api.npfqn.Npfqn_gtmtst_fluid.Result: Iterations of the traffic-rate fixed point.
iterations - Variable in class jline.opt.results.OptimizationResult
iterMax - Variable in class jline.api.da.Da_fpi.Options
iterMax - Variable in class jline.api.pfqn.mva.SjnOptions: Iteration cap of the fixed point.
iterMax - Variable in class jline.inference.api.VariationalOptions
iterMax - Variable in class jline.inference.lang.EstimatorOptions
iters - Variable in class jline.api.mdd.MddMcdResult: Fixed-point iterations performed.
iters - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult: Fixed-point sweeps performed.
iters - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
iterTol - Variable in class jline.api.da.Da_fpi.Options

J

jac - Variable in class jline.util.ode.Rodas.Options
jacksonNetwork() - Static method in class jline.examples.java.advanced.AgentModel: Creates a Jackson network with probabilistic routing.
jacobian - Variable in class jline.api.sym.SymEngine.FluidODEs: Jacobian d f_i / d x_j, or null if not requested
jacobian(double[]) - Method in class jline.lib.rmf.CacheRMF: Compute Jacobian dF/dx at state x.
jacobian(double[], double[], Matrix[]) - Method in class jline.solvers.fluid.moments.FluidMomentTerms: Analytic Jacobian dF/dx = D*(rateBase .* G(eventIdx,:)).
jacobian(double[], double[], Matrix[]) - Method in class jline.solvers.fluid.moments.FluidRateFactors: Analytic Jacobian dg/dx of the rate factors, mirroring FluidRateFactors.factors(double[], double[], jline.util.matrix.Matrix[]) branch by branch.
jacobian(Function<Matrix, Matrix>, Matrix, double, double) - Static method in class jline.api.infer.InferLqn: Forward finite-difference sensitivity matrix of h at a.
jacobian(PetriTerms, PetriSystem.Theta) - Static method in class jline.solvers.fluid.petri.PetriSystem: Drift Jacobian A = D * dR/dX.
JacobianResult(Matrix, Matrix) - Constructor for class jline.api.infer.InferLqn.JacobianResult
JavaExampleTwins - Class in jline.examples.parity: Register the example suite already in jline.examples.java as parity twins.
javaLauncher() - Static method in class jline.io.SysUtils: Resolves the Java launcher used to spawn a JVM tool (JMT, LDES).
JD - Enum constant in enum jline.lang.constant.ServiceStrategy
jdscaling - Variable in class jline.lang.layered.LayeredNetworkStruct
jdscaling - Variable in class jline.lang.NetworkStruct
jdscalingpeak - Variable in class jline.lang.layered.LayeredNetworkStruct
jdscalingpeak - Variable in class jline.lang.NetworkStruct
jFactorialMomsFromJMoms(Matrix) - Static method in class jline.lib.butools.JFactorialMomsFromJMoms: Returns the lag-1 joint factorial moments given the lag-1 joint raw moments.
JFactorialMomsFromJMoms - Class in jline.lib.butools
jline - package jline: LINE - Queueing theory algorithms.
jline.api - package jline.api: Procedural algorithms for solving stochastic models and analyzing queueing systems.
jline.api.aoi - package jline.api.aoi: Age of Information (AoI) analysis algorithms.
jline.api.cache - package jline.api.cache: Cache modeling algorithms and performance analysis methods.
jline.api.da - package jline.api.da
jline.api.dpfqn - package jline.api.dpfqn: Discrete-time (slotted) product-form queueing network algorithms.
jline.api.dqsys - package jline.api.dqsys: Discrete-time (slotted) single-queue formulas.
jline.api.fes - package jline.api.fes
jline.api.fj - package jline.api.fj
jline.api.infer - package jline.api.infer
jline.api.lossn - package jline.api.lossn: APIs for stochastic models of loss networks and blocking systems.
jline.api.lqn - package jline.api.lqn
jline.api.lsn - package jline.api.lsn: Layered Stochastic Network (LSN) algorithms.
jline.api.lti - package jline.api.lti: Numerical inversion of Laplace transforms.
jline.api.mam - package jline.api.mam: Matrix Analytic Methods (MAM) for structured Markov chains.
jline.api.mam.m3pp - package jline.api.mam.m3pp: Marked Markov-Modulated Poisson Process (M3PP) manipulation and fitting.
jline.api.map - package jline.api.map
jline.api.mapqn - package jline.api.mapqn: MAP queueing network analysis algorithms.
jline.api.mc - package jline.api.mc: Markov Chain analysis algorithms.
jline.api.mdd - package jline.api.mdd: Decision-diagram state-space storage and Miner-Ciardo-Donatelli aggregation.
jline.api.moment - package jline.api.moment: Moment conversion algorithms for discrete distributions.
jline.api.nc - package jline.api.nc
jline.api.npfqn - package jline.api.npfqn: Non-Product Form Queueing Network algorithms.
jline.api.pfqn - package jline.api.pfqn: Product-Form Queueing Network (PFQN) analysis algorithms.
jline.api.pfqn.lcfs - package jline.api.pfqn.lcfs
jline.api.pfqn.ld - package jline.api.pfqn.ld: Load-dependent Product Form Queueing Network algorithms.
jline.api.pfqn.mva - package jline.api.pfqn.mva: Mean Value Analysis algorithms for Product Form Queueing Networks.
jline.api.pfqn.nc - package jline.api.pfqn.nc: Normalizing constant algorithms for Product Form Queueing Networks.
jline.api.pfqn.sens - package jline.api.pfqn.sens
jline.api.polling - package jline.api.polling: Polling system analysis algorithms.
jline.api.qsys - package jline.api.qsys: Queueing system analysis algorithms.
jline.api.retrieval - package jline.api.retrieval
jline.api.sim - package jline.api.sim: Simulation output analysis.
jline.api.sn - package jline.api.sn: Stochastic network analysis utilities.
jline.api.snc - package jline.api.snc: Stochastic network calculus (SNC).
jline.api.spn - package jline.api.spn: Stochastic Petri net analysis.
jline.api.sum - package jline.api.sum
jline.api.sym - package jline.api.sym: Computer algebra backend.
jline.api.trace - package jline.api.trace: Trace analysis algorithms for empirical data.
jline.api.wf - package jline.api.wf: Workflow analysis algorithms.
jline.bench - package jline.bench: Benchmarking utilities and performance test models for LINE solvers.
jline.bench.cqn - package jline.bench.cqn: Closed Queueing Network (CQN) benchmarks for solver performance evaluation.
jline.bench.fj - package jline.bench.fj: Fork-Join model benchmarks for parallel processing system evaluation.
jline.bench.lqn - package jline.bench.lqn: Layered Queueing Network (LQN) benchmarks for hierarchical system evaluation.
jline.bench.mqn - package jline.bench.mqn: Mixed Queueing Network (MQN) benchmarks.
jline.bench.oqn - package jline.bench.oqn: Open Queueing Network (OQN) benchmarks.
jline.cli - package jline.cli: Command line and WebSocket client/server execution.
jline.examples - package jline.examples: Comprehensive examples and tutorials for LINE queueing network modeling.
jline.examples.basic - package jline.examples.basic
jline.examples.java - package jline.examples.java: Comprehensive examples and gallery of queueing network models for the LINE solver.
jline.examples.java.advanced - package jline.examples.java.advanced: Advanced queueing network examples with complex features and topologies.
jline.examples.java.basic - package jline.examples.java.basic: Basic queueing network examples demonstrating fundamental concepts.
jline.examples.java.discrete - package jline.examples.java.discrete
jline.examples.java.inference - package jline.examples.java.inference
jline.examples.java.models - package jline.examples.java.models: Pre-built queueing network model templates and generators.
jline.examples.java.solvers - package jline.examples.java.solvers
jline.examples.opt - package jline.examples.opt
jline.examples.parity - package jline.examples.parity
jline.gen - package jline.gen
jline.inference.api - package jline.inference.api
jline.inference.lang - package jline.inference.lang
jline.inference.util - package jline.inference.util
jline.io - package jline.io: Input/output from the command line or XML files.
jline.io.tikz - package jline.io.tikz: TikZ visualization package for LINE queueing networks.
jline.lang - package jline.lang: Abstractions to declare basic elements of a model.
jline.lang.constant - package jline.lang.constant: This package contains constants used in the definition of queueing characteristics
jline.lang.layered - package jline.lang.layered: This package contains the classes used the specify LayeredNetwork objects
jline.lang.nodeparam - package jline.lang.nodeparam: Node parameter specifications and configuration classes.
jline.lang.nodes - package jline.lang.nodes: This package contains the classes used the specify Network objects
jline.lang.processes - package jline.lang.processes: This package contains processes and statistical distributions used to specify arrival rates, service rates, and item popularities
jline.lang.reward - package jline.lang.reward: Reward function types and utilities for CTMC analysis.
jline.lang.sections - package jline.lang.sections: Classes that model the individual sections that form a Network node
jline.lang.state - package jline.lang.state: Classes that model the state of a network and its individual nodes
jline.lang.workflow - package jline.lang.workflow
jline.lib - package jline.lib: Ad-hoc migrated versions of external library dependencies.
jline.lib.butools - package jline.lib.butools: Port of BuTools library for phase-type distributions and MAP processes.
jline.lib.butools.dmap - package jline.lib.butools.dmap
jline.lib.butools.dph - package jline.lib.butools.dph: Package containing Discrete Phase-Type (DPH) distribution functions.
jline.lib.butools.fitting - package jline.lib.butools.fitting: Package containing trace fitting utility functions.
jline.lib.butools.mam - package jline.lib.butools.mam: Package containing Matrix-Analytic Methods (MAM) solvers.
jline.lib.butools.map - package jline.lib.butools.map: Package containing Markovian Arrival Process (MAP) functions.
jline.lib.butools.mc - package jline.lib.butools.mc: Package containing Markov chain validation and solving functions.
jline.lib.butools.ph - package jline.lib.butools.ph: Package containing phase-type distribution functions.
jline.lib.butools.queues - package jline.lib.butools.queues
jline.lib.butools.reptrans - package jline.lib.butools.reptrans: Package containing representation transformation functions.
jline.lib.butools.trace - package jline.lib.butools.trace: Package containing trace analysis functions.
jline.lib.fjcodes - package jline.lib.fjcodes
jline.lib.kpctoolbox - package jline.lib.kpctoolbox: Port of the KPC-Toolbox library for Markovian process fitting and manipulation.
jline.lib.kpctoolbox.aph - package jline.lib.kpctoolbox.aph
jline.lib.kpctoolbox.basic - package jline.lib.kpctoolbox.basic
jline.lib.kpctoolbox.erchmm - package jline.lib.kpctoolbox.erchmm
jline.lib.kpctoolbox.kpcfit - package jline.lib.kpctoolbox.kpcfit
jline.lib.kpctoolbox.mc - package jline.lib.kpctoolbox.mc
jline.lib.kpctoolbox.mmpp - package jline.lib.kpctoolbox.mmpp
jline.lib.kpctoolbox.mvph - package jline.lib.kpctoolbox.mvph
jline.lib.kpctoolbox.smp - package jline.lib.kpctoolbox.smp
jline.lib.kpctoolbox.trace - package jline.lib.kpctoolbox.trace
jline.lib.lti - package jline.lib.lti: Port of LTI library for Laplace transform inversion algorithms.
jline.lib.m3a - package jline.lib.m3a: Port of M3A library for matrix-based moment matching approximation algorithms.
jline.lib.ode - package jline.lib.ode
jline.lib.perm - package jline.lib.perm: Port of permanent computation algorithms for matrix permanents.
jline.lib.qmam - package jline.lib.qmam
jline.lib.rmf - package jline.lib.rmf
jline.lib.smc - package jline.lib.smc: Port of SMC library for structured Markov chain analysis algorithms.
jline.opt - package jline.opt
jline.opt.decomposition - package jline.opt.decomposition
jline.opt.objectives - package jline.opt.objectives
jline.opt.pareto - package jline.opt.pareto
jline.opt.results - package jline.opt.results
jline.opt.sensitivity - package jline.opt.sensitivity
jline.opt.solver - package jline.opt.solver
jline.opt.solver.de - package jline.opt.solver.de
jline.opt.variables - package jline.opt.variables
jline.solvers - package jline.solvers: Solver superclasses and related data structures.
jline.solvers.ag - package jline.solvers.ag
jline.solvers.ag.analyzers - package jline.solvers.ag.analyzers
jline.solvers.ag.handlers - package jline.solvers.ag.handlers
jline.solvers.auto - package jline.solvers.auto: Automatic solver selection and configuration for queueing networks.
jline.solvers.ba - package jline.solvers.ba
jline.solvers.ba.analyzers - package jline.solvers.ba.analyzers
jline.solvers.ctmc - package jline.solvers.ctmc: This package provides an implementation of SolverCTMC.
jline.solvers.ctmc.analyzers - package jline.solvers.ctmc.analyzers: Analyzers for SolverCTMC.
jline.solvers.ctmc.handlers - package jline.solvers.ctmc.handlers: Handlers for SolverCTMC.
jline.solvers.env - package jline.solvers.env: This package provides an implementation of SolverENV (ENV).
jline.solvers.fj - package jline.solvers.fj
jline.solvers.fluid - package jline.solvers.fluid: This package provides an implementation of SolverFluid (FLD).
jline.solvers.fluid.analyzers - package jline.solvers.fluid.analyzers: Analyzers for SolverFluid.
jline.solvers.fluid.handlers - package jline.solvers.fluid.handlers: Handlers for SolverFluid.
jline.solvers.fluid.moments - package jline.solvers.fluid.moments
jline.solvers.fluid.petri - package jline.solvers.fluid.petri
jline.solvers.ldes - package jline.solvers.ldes: LDES solver using SSJ library.
jline.solvers.ldes.analyzers - package jline.solvers.ldes.analyzers
jline.solvers.ldes.handlers - package jline.solvers.ldes.handlers
jline.solvers.ln - package jline.solvers.ln: This package provides an implementation of SolverLN.
jline.solvers.mam - package jline.solvers.mam: This package provides an implementation of SolverMAM.
jline.solvers.mam.analyzers - package jline.solvers.mam.analyzers: Analyzers for SolverMAM.
jline.solvers.mam.handlers - package jline.solvers.mam.handlers: Handlers for SolverMAM.
jline.solvers.mva - package jline.solvers.mva: This package provides an implementation of SolverMVA.
jline.solvers.mva.analyzers - package jline.solvers.mva.analyzers: Analyzers for SolverMVA.
jline.solvers.mva.handlers - package jline.solvers.mva.handlers: Handlers for SolverMVA.
jline.solvers.nc - package jline.solvers.nc: This package provides an implementation of SolverNC.
jline.solvers.nc.analyzers - package jline.solvers.nc.analyzers: Analyzers for SolverNC.
jline.solvers.nc.handlers - package jline.solvers.nc.handlers: Handlers for SolverNC.
jline.solvers.ssa - package jline.solvers.ssa: This package provides an implementation of SolverSSA.
jline.solvers.ssa.analyzers - package jline.solvers.ssa.analyzers: Analyzers for SolverSSA.
jline.solvers.ssa.handlers - package jline.solvers.ssa.handlers: Handlers for SolverSSA.
jline.solvers.tr - package jline.solvers.tr
jline.solvers.uq - package jline.solvers.uq
jline.solvers.wrappers.jmt - package jline.solvers.wrappers.jmt: This package provides an implementation of SolverJMT.
jline.solvers.wrappers.jmt.handlers - package jline.solvers.wrappers.jmt.handlers: Handlers for SolverJMT.
jline.solvers.wrappers.jmt.io - package jline.solvers.wrappers.jmt.io
jline.solvers.wrappers.lqns - package jline.solvers.wrappers.lqns: This package provides an implementation of SolverLQNS.
jline.solvers.wrappers.lqns.qnsolver - package jline.solvers.wrappers.lqns.qnsolver: The qnsolver engine behind the qns methods of SolverLQNS on a flat Network.
jline.streaming - package jline.streaming
jline.unified - package jline.unified
jline.util - package jline.util: Fundamental data structures and utilities
jline.util.graph - package jline.util.graph: Graph theory utilities and algorithms for network analysis.
jline.util.matrix - package jline.util.matrix: Matrix operations and linear algebra utilities for queueing analysis.
jline.util.ode - package jline.util.ode: Ordinary-differential and differential-algebraic integrators.
jline.util.symbolic - package jline.util.symbolic
jlqnGetPath() - Static method in class jline.io.SysUtils
jlqnGetPath(String) - Static method in class jline.io.SysUtils
jMomsFromJFactorialMoms(Matrix) - Static method in class jline.lib.butools.JMomsFromJFactorialMoms: Returns the lag-1 joint raw moments given the lag-1 joint factorial moments.
JMomsFromJFactorialMoms - Class in jline.lib.butools
JMT - Class in jline.solvers.wrappers.jmt: JMT is an alias for SolverJMT (Java Modelling Tools solver).
JMT - Enum constant in enum jline.lang.constant.SolverType
JMT(Network) - Constructor for class jline.solvers.wrappers.jmt.JMT
JMT(Network, Object...) - Constructor for class jline.solvers.wrappers.jmt.JMT
JMT(Network, String) - Constructor for class jline.solvers.wrappers.jmt.JMT
JMT(Network, SolverOptions) - Constructor for class jline.solvers.wrappers.jmt.JMT
JMT2LINE(String) - Method in class jline.io.M2M: Converts a JMT (Java Modelling Tools) model file to a LINE Network object.
JMT2LINE(String, String) - Method in class jline.io.M2M: Converts a JMT (Java Modelling Tools) model file to a LINE Network object with a custom model name.
JmtBackend - Class in jline.solvers.wrappers.jmt: Backend dispatch for the JMT command line.
jmtBufferCapacityRefusal(NetworkStruct, boolean) - Static method in class jline.solvers.wrappers.jmt.SolverJMT: A binding finite buffer, which NEITHER engine can carry; empty otherwise.
jmtCapIsUnbounded(NetworkStruct, int) - Static method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Is the buffer at station ist UNBOUNDED, as the JSIM writer reads it?
jmtFindPath() - Static method in class jline.io.SysUtils: Locates an existing JMT.jar, downloading nothing.
jmtGetPath() - Static method in class jline.io.SysUtils: Locates JMT.jar.
jmtGetPath(String) - Static method in class jline.io.SysUtils
JMTIO - Class in jline.solvers.wrappers.jmt.io: Unified I/O handler for JMT (Java Modelling Tools) files.
JMTIO(Network) - Constructor for class jline.solvers.wrappers.jmt.io.JMTIO: Creates a new JMTIO instance with default settings.
JMTIO(Network, double, double, long, long, double, long) - Constructor for class jline.solvers.wrappers.jmt.io.JMTIO: Creates a new JMTIO instance with full parameter control.
jmtMethodRefusal(NetworkStruct, String, SolverOptions) - Static method in class jline.solvers.wrappers.jmt.SolverJMT: The structural half of SolverJMT's method gate; empty when admissible.
jmtMethodRefusal(NetworkStruct, String, SolverOptions, String) - Static method in class jline.solvers.wrappers.jmt.SolverJMT: The same predicate, told WHO IS ASKING.
JMTOptions - Class in jline.solvers.wrappers.jmt: Configuration options for Java Modelling Tools (JMT) solver integration.
JMTOptions() - Constructor for class jline.solvers.wrappers.jmt.JMTOptions: Constructs a new JMTOptions instance with default JMT solver configuration.
jmtReachablePopulation(NetworkStruct, int) - Static method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: SaveHandlers.jmtReachablePopulation(int) against an explicit struct, so that SolverJMT.jmtMethodRefusal can apply the writer's own BINDING test without building a writer.
jmtReplications(SolverOptions) - Static method in class jline.solvers.wrappers.jmt.SolverJMT: The transient ensemble size, options.config.replications, or 10 when unset.
JMTResult - Class in jline.solvers.wrappers.jmt
JMTResult() - Constructor for class jline.solvers.wrappers.jmt.JMTResult
JMTResult.TransientProbabilityResult - Class in jline.solvers.wrappers.jmt: Result class for transient probability analysis of aggregated states.
jmtStationCapRefusal(NetworkStruct, int) - Static method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: SaveHandlers.jmtStationCapAssert(int) as a SENTENCE rather than an exception, against an explicit struct; empty when the buffer at ist is exportable.
JMVA2LINE(String) - Method in class jline.io.M2M: Converts a JMVA file to a LINE Network object.
JMVA2LINE(String, String) - Method in class jline.io.M2M: Converts a JMVA file to a LINE Network object with a custom model name.
jmvaIsClosedOnly(String) - Static method in class jline.solvers.wrappers.jmt.SolverJMT: True for the JMVA algorithms that solve a CLOSED product-form network only.
job - Variable in class jline.lang.Event
job - Variable in class jline.lang.ModeEvent
jobclass - Variable in class jline.lang.Event
jobclass - Variable in class jline.lang.FJSync
jobclass - Variable in class jline.solvers.ctmc.SolverCTMC.EventInfo
jobclass - Variable in class jline.solvers.fluid.handlers.FluidRateMultiplier.NhppEntry
jobclass - Variable in class jline.solvers.fluid.handlers.FluidRateMultiplier.RateEntry
jobclass - Variable in class jline.solvers.wrappers.jmt.SolverJMT.EventInfo
jobClass - Variable in class jline.inference.lang.ConditionEvent
jobClass - Variable in class jline.inference.lang.SampledMetric
jobClass - Variable in class jline.lang.Graph.Edge
jobClass - Variable in class jline.lang.Metric
jobClass - Variable in class jline.lang.Network.BindingCapacity
jobClass - Variable in class jline.lang.nodeparam.LoggerNodeParam: Whether to include job class information in log entries
jobClass - Variable in class jline.lang.sections.CacheClassSwitcher.InputJobClassesObj
jobClass - Variable in class jline.lang.sections.Forker.ForkOverride
jobClass - Variable in class jline.lang.state.EventCacheKey
jobClass - Variable in class jline.solvers.uq.SolverUQ.PosteriorTableRow
JobClass - Class in jline.lang: Superclass representing a class of jobs
JobClass(JobClassType, String) - Constructor for class jline.lang.JobClass: Creates a new job class with the specified type and name.
jobclasses - Variable in class jline.lang.NetworkStruct
jobClasses - Variable in class jline.lang.sections.ClassSwitcher
jobClasses - Variable in class jline.lang.sections.Firing
jobClasses - Variable in class jline.lang.sections.Forker
jobClasses - Variable in class jline.lang.sections.Joiner
JobClassType - Enum in jline.lang.constant: Enumeration of job class types in queueing network models.
jobID - Variable in class jline.lang.nodeparam.LoggerNodeParam: Whether to include unique job identifiers in log entries
jobinClass - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
JobPopulation - Class in jline.opt.variables: Optimize the fixed circulating population of a closed class.
JobPopulation(ClosedClass, int, int) - Constructor for class jline.opt.variables.JobPopulation
JobPopulation(ClosedClass, int, int, String) - Constructor for class jline.opt.variables.JobPopulation
jobPos - Variable in class jline.solvers.ln.SolverLN.recurActGraphReturnType
join - Variable in class jline.lang.FJSync
Join - Class in jline.lang.nodes: A node that reassembles a set of sibling tasks into the original parent job
Join - Enum constant in enum jline.lang.constant.NodeType: Join node - synchronizes parallel tasks from fork
Join(Network) - Constructor for class jline.lang.nodes.Join
Join(Network, String) - Constructor for class jline.lang.nodes.Join
Join(Network, String, Node) - Constructor for class jline.lang.nodes.Join
JOIN - Enum constant in enum jline.io.ModelVisualizer.NodeType
Joiner - Class in jline.lang.sections: Input section of a join node
Joiner(List<JobClass>) - Constructor for class jline.lang.sections.Joiner
joinIdx - Variable in class jline.api.fj.FJInfo
joinJobClasses - Variable in class jline.lang.sections.Joiner
JoinNodeParam - Class in jline.lang.nodeparam: Parameter container for join nodes in queueing networks.
JoinNodeParam() - Constructor for class jline.lang.nodeparam.JoinNodeParam
joinNodes - Variable in class jline.api.wf.Wf_analyzer.NodeClassification
joinNodes - Variable in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
joinOf - Variable in class jline.lang.nodes.Join
joinOfGroup - Variable in class jline.api.sn.SnBuildFjSyncMap.FjSyncMap: joinOfGroup.get(g) = join node index of group g+1 (0-based node index).
joinRequired - Variable in class jline.lang.nodeparam.JoinNodeParam: Required number of tasks that must complete before job reconstruction per class
joinRequired - Variable in class jline.lang.sections.Joiner
joinStrategy - Variable in class jline.lang.nodeparam.JoinNodeParam: Join strategy configuration per job class (e.g., wait-for-all, partial)
joinStrategy - Variable in class jline.lang.sections.Joiner
JoinStrategy - Enum in jline.lang.constant: Constants for specifying a join strategy
joint - Variable in class jline.solvers.ctmc.CTMCResult.Prob
joint - Variable in class jline.solvers.ln.SolverLN
joint(int[][]) - Method in class jline.lib.perm.NetworkNoThink
joint(int[][]) - Method in class jline.lib.perm.NetworkThink
JSIM2LINE(String) - Method in class jline.io.M2M: Converts a JSIM/JSIMG file to a LINE Network object.
JSIM2LINE(String, String) - Method in class jline.io.M2M: Converts a JSIM/JSIMG file to a LINE Network object with a specified model name.
JSIMG - Enum constant in enum jline.solvers.wrappers.jmt.SolverJMT.ViewMode
JSIMG_PATH - Static variable in class jline.solvers.wrappers.jmt.SolverJMT
jsimgView() - Method in class jline.lang.Network
jsimgView() - Method in class jline.solvers.wrappers.jmt.SolverJMT
jsimgView(String) - Method in class jline.solvers.wrappers.jmt.SolverJMT
jsimgView(String, SolverOptions) - Method in class jline.solvers.wrappers.jmt.SolverJMT
jsimgView(SolverOptions) - Method in class jline.solvers.wrappers.jmt.SolverJMT
JSIMW - Enum constant in enum jline.solvers.wrappers.jmt.SolverJMT.ViewMode
jsimwView() - Method in class jline.lang.Network
jsimwView() - Method in class jline.solvers.wrappers.jmt.SolverJMT
jsimwView(String) - Method in class jline.solvers.wrappers.jmt.SolverJMT
jsimwView(String, SolverOptions) - Method in class jline.solvers.wrappers.jmt.SolverJMT
JsonResult - Class in jline.unified: Data class for JSON-formatted test results.
JsonResult(String) - Constructor for class jline.unified.JsonResult
JSQ - Enum constant in enum jline.lang.constant.RoutingStrategy: Join Shortest Queue - route to destination with fewest waiting jobs

K

k - Variable in class jline.io.Ret.pfqnHarelBounds: Number of queues k
K - Variable in class jline.api.cache.Cache_spm_size.Result: Mean storage cost held by each list.
K - Variable in class jline.api.fj.FJInfo
K - Variable in class jline.api.fj.GKBoundResult
K - Variable in class jline.api.mapqn.LinearReductionParameters
K - Variable in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
K - Variable in class jline.api.mapqn.Mapqn_bnd_qr_ld.QuadraticLDParameters
K - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
K - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem
K - Variable in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
K - Variable in class jline.api.mapqn.MVAVersionParameters
K - Variable in class jline.api.mdd.MDD: Number of variable levels.
K - Variable in class jline.api.mdd.MddDescriptor: Number of levels, i.e.
K - Variable in class jline.api.mdd.MddStruct: Number of variable levels.
K - Variable in class jline.api.npfqn.Npfqn_traffic_idc
K - Variable in class jline.lib.butools.mam.FluidSolve.FluidSolution
K - Variable in class jline.lib.fjcodes.MainFJ.FJPercentileResult
K - Variable in class jline.solvers.ba.analyzers.Solver_ba_snc_analyzer.Envelopes: Number of classes of the model.
K - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
K - Variable in class jline.solvers.fluid.petri.PetriTerms
k2 - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: K2 = t*eta''(theta*), the expansion parameter.
K2_MIN - Static variable in class jline.api.mc.Ctmc_saddlepoint: Below this value of K2 = t*eta''(theta*) the expansion is out of its regime.
kahn(Matrix) - Static method in class jline.util.graph.DirectedGraph: Performs topological sorting using Kahn's algorithm.
KB - Variable in class jline.lib.butools.mam.LevelDependentFluidSolution
Kc - Variable in class jline.lib.fjcodes.SRKResult
Ke - Variable in class jline.lib.fjcodes.SRKResult
keep - Variable in class jline.api.mc.CtmcPassagePh: Row of S to state index of Q.
keep - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
keep - Variable in class jline.solvers.SolverOptions: Keep intermediate results and temporary files
keep(boolean) - Method in class jline.solvers.SolverOptions: Sets whether to keep intermediate results and temporary files (builder pattern).
keepCols(Collection<Integer>) - Method in class jline.util.matrix.Matrix: Keeps only the specified columns in the matrix.
keepResetPolicy() - Static method in class jline.lang.Environment
keepRows(Collection<Integer>) - Method in class jline.util.matrix.Matrix: Keeps only the specified rows in the matrix.
key - Variable in class jline.io.LineCitations.Citation: Bibliography key of doc/latex/biblio.bib, internal shorthand, not displayed.
key - Variable in class jline.util.IndexedMinHeap
key(int, int) - Method in class jline.solvers.ba.analyzers.Solver_ba_snc_analyzer.Envelopes
keys() - Method in class jline.lang.ModelAttribute: Lists the metadata fields currently set, in insertion order.
keySet() - Method in class jline.solvers.AvgHandle: Returns the set of all stations that have metrics stored.
KF - Variable in class jline.lib.butools.mam.LevelDependentFluidSolution
Kic - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
kids - Variable in class jline.lang.workflow.Workflow.SPNode: Child node indices.
kill() - Method in class jline.solvers.ag.AgWorkerClient: Mark the worker unusable for the rest of the run and drop its socket.
kind - Variable in class jline.api.lqn.LqnBalanceEquations.Relation: little | callflow | entryflow | actflow | hostutil.
kind - Variable in class jline.api.qsys.QsysServiceLaw
kind - Variable in class jline.api.spn.Spn_pf.SpnPfResult: "geometric" or "massaction", the psi that was found.
kind - Variable in class jline.solvers.auto.SolverAUTO.AutoToken: "intent" or "family".
kind - Variable in class jline.solvers.fluid.petri.PetriImmediate.Row
kind - Variable in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer.DtModel: One of "bernoulli1", "cycle" or "none".
kir - Variable in class jline.lang.state.State.StateMarginalStatistics
KLIMITED - Enum constant in enum jline.lang.constant.PollingType
kmax - Variable in class jline.api.fj.FJ_maxima.FJCoxFitResult
kmax - Variable in class jline.api.mc.Dtmc_uniformization.DtmcUniformizationResult
kmin - Variable in class jline.api.fj.FJ_maxima.FJCoxFitResult
KoPenderAnalyzer - Class in jline.solvers.fluid.analyzers: Fluid and diffusion limits of the (MAP_t/Ph_t/inf)^N network of Y.
KoPenderAnalyzer() - Constructor for class jline.solvers.fluid.analyzers.KoPenderAnalyzer
korig - Variable in class jline.solvers.tr.FJTagTransform.Context: Number of classes before the augmentation.
kp_init_sol - Variable in class jline.solvers.SolverOptions.Config: Fluid 'kp': initial state vector in the KO-PENDER layout -- one offset counter walking the stations in order, an arrival-phase block at each EXT station-class and a service-phase block at every other, with no mass returning to the source.
KPCFit - Class in jline.lib.kpctoolbox.kpcfit: KPC-Toolbox fitting functions.
kpcfit_auto(KPCFit.TraceData) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_auto(KPCFit.TraceData, KPCFit.KPCFitOptions) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_hyper_charpoly(double[], int) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_init(double[]) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_init(double[], int[], int[]) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_manual(int, double[], double[], int[], double[], int[][]) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_manual(int, double[], double[], int[], double[], int[][], KPCFit.KPCFitOptions) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_ph_exact(double[], KPCFit.KPCFitPhOptions) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_ph_options(double[]) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_ph_options(double[], boolean, int, int, int, int) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_ph_prony(double[], int) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_sub_acfit(double[], double[], int[], int, int, int, int) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_sub_bcfit(double[], double[], double[], double[], int[][], int, int) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_sub_bic(double[], int[]) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_sub_compose(double[], double[], double[], double[]) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
kpcfit_sub_eval_acfit(double[], double[], int[]) - Static method in class jline.lib.kpctoolbox.kpcfit.KPCFit
KPCFIT_TOL - Static variable in class jline.lib.kpctoolbox.kpcfit.KPCFit
KPCFit.AcfitEvalResult - Class in jline.lib.kpctoolbox.kpcfit
KPCFit.AcfitResult - Class in jline.lib.kpctoolbox.kpcfit
KPCFit.BcfitResult - Class in jline.lib.kpctoolbox.kpcfit
KPCFit.ComposeResult - Class in jline.lib.kpctoolbox.kpcfit
KPCFit.KPCFitOptions - Class in jline.lib.kpctoolbox.kpcfit
KPCFit.KPCFitPhOptions - Class in jline.lib.kpctoolbox.kpcfit
KPCFit.KPCFitResult - Class in jline.lib.kpctoolbox.kpcfit
KPCFit.TraceData - Class in jline.lib.kpctoolbox.kpcfit
KPCFitOptions() - Constructor for class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
KPCFitPhOptions() - Constructor for class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitPhOptions
KPCFitPhOptions(boolean, int, int, int, int) - Constructor for class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitPhOptions
KPCFitResult(MatrixCell, double, double, List<MatrixCell>, List<MatrixCell>, double[], double[]) - Constructor for class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitResult
kron(Matrix) - Method in class jline.util.matrix.Matrix: Computes the Kronecker product of this matrix and another matrix.
kronEye(ComplexMatrix, int) - Static method in class jline.lib.qmam.Q_Sylvest: Computes kron(A, eye(m)) for a complex matrix A.
krons(Matrix) - Method in class jline.util.matrix.Matrix: Computes the Kronecker sum of two matrices: A ⊕ B = A \otimes I + I \otimes B, where \otimes is the Kronecker product and I is the identity matrix of matching size.
kronStatic(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class jline.util.matrix.DenseMatrix: Computes the Kronecker product of two dense matrices: A \otimes B.
kronsum(Matrix, Matrix) - Static method in class jline.lib.fjcodes.FjCodesUtils: Compute Kronecker sum of two matrices: A xor B = A x I + I x B.
kronsum(Matrix, Matrix) - Static method in class jline.lib.fjcodes.FJUtils: Compute Kronecker sum of two matrices.
Ksw - Variable in class jline.lang.state.Polling.Info: Number of phases of the switchover entering buffer q.
kurtosis - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
kv(String, double) - Static method in class jline.examples.parity.Print: One labelled scalar, the shape a reference script prints a system metric in.
kv(String, String) - Static method in class jline.examples.parity.Print

L

L - Variable in class jline.api.mam.Qbd_rg.QbdRgResult
L - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: The Lyapunov coefficients, [J][N].
L - Variable in class jline.io.Ret.pfqnNcSanitize
L_orbit - Variable in class jline.api.qsys.QsysRetrialResult
L_system - Variable in class jline.api.qsys.QsysRetrialResult
label - Variable in class jline.io.tikz.SequenceDiagramTraverser.Fragment
label - Variable in class jline.solvers.fluid.petri.PetriConservation: One human-readable statement per row, for the report.
label - Variable in class jline.solvers.fluid.petri.PetriConstraints: One human-readable statement per row, for the report.
label - Variable in class jline.solvers.fluid.petri.PetriMode
labels - Variable in class jline.streaming.SSAMetricPoint: Labels for this metric (station, class, etc.)
lagApproximation - Variable in class jline.api.qsys.QsysMtginfResult: ES*lambda(t-E[Se]), the first-order lag approximation; null without ES2.
lagCorrelationsFromDMAP(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.LagCorrelationsFromDMAP
lagCorrelationsFromDMAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.dmap.LagCorrelationsFromDMAP
lagCorrelationsFromDMAP(Matrix, Matrix, int, double) - Static method in class jline.lib.butools.dmap.LagCorrelationsFromDMAP: Returns the lag autocorrelations of a discrete Markovian arrival process.
LagCorrelationsFromDMAP - Class in jline.lib.butools.dmap
lagCorrelationsFromDRAP(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.LagCorrelationsFromDRAP
lagCorrelationsFromDRAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.dmap.LagCorrelationsFromDRAP
lagCorrelationsFromDRAP(Matrix, Matrix, int, double) - Static method in class jline.lib.butools.dmap.LagCorrelationsFromDRAP: Returns the lag autocorrelations of a discrete rational arrival process.
LagCorrelationsFromDRAP - Class in jline.lib.butools.dmap
lagCorrelationsFromMAP(Matrix, Matrix) - Static method in class jline.lib.butools.map.LagCorrelationsFromMAP
lagCorrelationsFromMAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.map.LagCorrelationsFromMAP: Returns the lag autocorrelations of a Markovian arrival process.
LagCorrelationsFromMAP - Class in jline.lib.butools.map
lagCorrelationsFromRAP(Matrix, Matrix) - Static method in class jline.lib.butools.map.LagCorrelationsFromMAP
lagCorrelationsFromRAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.map.LagCorrelationsFromMAP: Returns the lag autocorrelations of a rational arrival process.
lagCorrelationsFromTrace(double[]) - Static method in class jline.lib.butools.trace.LagCorrelationsFromTrace
lagCorrelationsFromTrace(double[], int) - Static method in class jline.lib.butools.trace.LagCorrelationsFromTrace: Returns the lag-k autocorrelation of a trace.
LagCorrelationsFromTrace - Class in jline.lib.butools.trace
lagkJointMomentsFromDMAP(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMAP
lagkJointMomentsFromDMAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMAP
lagkJointMomentsFromDMAP(Matrix, Matrix, int, int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMAP
lagkJointMomentsFromDMAP(Matrix, Matrix, int, int, double) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMAP: Returns the lag-L joint moments of a discrete Markovian arrival process.
LagkJointMomentsFromDMAP - Class in jline.lib.butools.dmap
lagkJointMomentsFromDMMAP(Matrix[]) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMMAP
lagkJointMomentsFromDMMAP(Matrix[], int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMMAP
lagkJointMomentsFromDMMAP(Matrix[], int, int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMMAP
lagkJointMomentsFromDMMAP(Matrix[], int, int, double) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMMAP: Overload for Matrix[].
lagkJointMomentsFromDMMAP(MatrixCell) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMMAP
lagkJointMomentsFromDMMAP(MatrixCell, int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMMAP
lagkJointMomentsFromDMMAP(MatrixCell, int, int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMMAP
lagkJointMomentsFromDMMAP(MatrixCell, int, int, double) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMMAP: Returns the lag-L joint moments of a discrete marked Markovian arrival process.
LagkJointMomentsFromDMMAP - Class in jline.lib.butools.dmap
lagkJointMomentsFromDMRAP(Matrix[]) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMRAP
lagkJointMomentsFromDMRAP(Matrix[], int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMRAP
lagkJointMomentsFromDMRAP(Matrix[], int, int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMRAP
lagkJointMomentsFromDMRAP(Matrix[], int, int, double) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMRAP
lagkJointMomentsFromDMRAP(MatrixCell) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMRAP
lagkJointMomentsFromDMRAP(MatrixCell, int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMRAP
lagkJointMomentsFromDMRAP(MatrixCell, int, int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMRAP
lagkJointMomentsFromDMRAP(MatrixCell, int, int, double) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDMRAP: Returns the lag-L joint moments of a discrete marked rational arrival process.
LagkJointMomentsFromDMRAP - Class in jline.lib.butools.dmap
lagkJointMomentsFromDRAP(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDRAP
lagkJointMomentsFromDRAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDRAP
lagkJointMomentsFromDRAP(Matrix, Matrix, int, int) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDRAP
lagkJointMomentsFromDRAP(Matrix, Matrix, int, int, double) - Static method in class jline.lib.butools.dmap.LagkJointMomentsFromDRAP: Returns the lag-L joint moments of a discrete rational arrival process.
LagkJointMomentsFromDRAP - Class in jline.lib.butools.dmap
lagkJointMomentsFromMAP(Matrix, Matrix) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMAP
lagkJointMomentsFromMAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMAP
lagkJointMomentsFromMAP(Matrix, Matrix, int, int) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMAP
lagkJointMomentsFromMAP(Matrix, Matrix, int, int, double) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMAP: Returns the lag-L joint moments of a continuous Markovian arrival process.
LagkJointMomentsFromMAP - Class in jline.lib.butools.map
lagkJointMomentsFromMMAP(Matrix[]) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMMAP
lagkJointMomentsFromMMAP(Matrix[], int) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMMAP
lagkJointMomentsFromMMAP(Matrix[], int, int) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMMAP
lagkJointMomentsFromMMAP(Matrix[], int, int, double) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMMAP: Overload for Matrix[].
lagkJointMomentsFromMMAP(MatrixCell) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMMAP
lagkJointMomentsFromMMAP(MatrixCell, int) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMMAP
lagkJointMomentsFromMMAP(MatrixCell, int, int) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMMAP
lagkJointMomentsFromMMAP(MatrixCell, int, int, double) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMMAP: Returns the lag-L joint moments of a continuous marked Markovian arrival process.
LagkJointMomentsFromMMAP - Class in jline.lib.butools.map
lagkJointMomentsFromMRAP(Matrix[], int, int, double) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMRAP: Overload for Matrix[].
lagkJointMomentsFromMRAP(MatrixCell) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMRAP
lagkJointMomentsFromMRAP(MatrixCell, int) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMRAP
lagkJointMomentsFromMRAP(MatrixCell, int, int) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMRAP
lagkJointMomentsFromMRAP(MatrixCell, int, int, double) - Static method in class jline.lib.butools.map.LagkJointMomentsFromMRAP: Returns the lag-L joint moments of a continuous marked rational arrival process.
LagkJointMomentsFromMRAP - Class in jline.lib.butools.map
lagkJointMomentsFromRAP(Matrix, Matrix) - Static method in class jline.lib.butools.map.LagkJointMomentsFromRAP
lagkJointMomentsFromRAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.map.LagkJointMomentsFromRAP
lagkJointMomentsFromRAP(Matrix, Matrix, int, int) - Static method in class jline.lib.butools.map.LagkJointMomentsFromRAP
lagkJointMomentsFromRAP(Matrix, Matrix, int, int, double) - Static method in class jline.lib.butools.map.LagkJointMomentsFromRAP: Returns the lag-L joint moments of a continuous rational arrival process.
LagkJointMomentsFromRAP - Class in jline.lib.butools.map
lagkJointMomentsFromTrace(double[], int) - Static method in class jline.lib.butools.trace.LagCorrelationsFromTrace
lagkJointMomentsFromTrace(double[], int, int) - Static method in class jline.lib.butools.trace.LagCorrelationsFromTrace: Returns the lag-L joint moments of a trace.
laguerre - Class in jline.lib.lti
Laguerre(UnivariateFunction, int) - Static method in class jline.lib.lti.laguerre
lam - Variable in class jline.solvers.ba.analyzers.Solver_ba_snc_analyzer.Envelopes: Exact arrival rate of each pair.
lam_ji - Variable in class jline.api.npfqn.Npfqn_traffic_idc
lambda - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: The stationary event rate eta'(0).
lambda - Variable in class jline.api.npfqn.Npfqn_bnd_bpt.Result: Effective arrival rate of each class.
lambda - Variable in class jline.api.npfqn.Npfqn_traffic_idc
lambda - Variable in class jline.api.qsys.QsysBmapM1Result: Mean arrival rate, theta * sum_k k*D_k * e.
lambda - Variable in class jline.api.qsys.QsysMapG1kPerflowResult: 1 x N, arrival rate of flow n [pkts/s].
lambda - Variable in class jline.api.qsys.QsysMapG1kResult: Aggregate MAP arrival rate.
lambda - Variable in class jline.api.qsys.QsysMmapG1kResult: 1 x R, arrival rate of class k [pkts/s].
lambda - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
lambda - Variable in class jline.api.sn.SnArrivalRateFun.RateFun: The rate as a function of time.
lambda - Variable in class jline.io.Ret.pfqnNcSanitize
lambda - Variable in class jline.io.Ret.snGetProductFormParams
lambda - Variable in class jline.lib.fjcodes.FJArrival
lambda_eff - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
lambda0 - Variable in class jline.api.npfqn.Npfqn_traffic_idc
lambda0 - Variable in class jline.lib.fjcodes.FJArrival
lambda1 - Variable in class jline.lib.fjcodes.FJArrival
lambdaAggregate - Variable in class jline.api.qsys.QsysMapG1kPerflowResult: sum_n lambda(n).
lambdaAggregate - Variable in class jline.api.qsys.QsysMmapG1kResult: sum_k lambda(k).
lambdaChain - Variable in class jline.lang.ModelAdapter.DeaggInfo
lambdaClass - Variable in class jline.solvers.mam.handlers.Mam_svc_mixture.Result: Per-class arrival rates lambda_k.
lambdaItem - Variable in class jline.solvers.fluid.analyzers.CacheTranResult: Per-cache isolated per-class per-item request rates (ncaches x classes), each entry the list-0 column of that class's lambda_cache.
lambdaMax - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: Largest adaptive rate used, the Lstar of the weight computation.
lambdaMin - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: Smallest adaptive rate used.
lamCat - Variable in class jline.solvers.ag.handlers.RcatComponent
lamNeg - Variable in class jline.solvers.ag.handlers.RcatComponent
land(Polling.Info, int, int, int, Matrix, Matrix, Matrix, Matrix, Matrix, Map<JobClass, Matrix>, List<JobClass>, int) - Static method in class jline.lang.state.Polling: Materialize the state rows a polling server lands in after Polling.next(jline.lang.state.Polling.Info, int, int[], int, boolean) has resolved (q, mode, budget).
Landing() - Constructor for class jline.lang.state.Polling.Landing
lang - Variable in class jline.solvers.SolverOptions: Target language for execution ("java", "matlab", etc.)
language - Variable in class jline.unified.JsonResult
laplace_invert(UnaryOperator<Complex>, double, String, int) - Static method in class jline.api.lti.Laplace_invert: Invert F at t by the named method: "euler", "talbot", "gaver-stehfest", "cme" or "weeks".
Laplace_invert - Class in jline.api.lti: Numerical inversion of a Laplace transform.
laplace_invert_cdf(UnaryOperator<Complex>, double[], String, int) - Static method in class jline.api.lti.Laplace_invert: The DISTRIBUTION on a grid, from the transform of the DENSITY.
laplace_invert_cme(UnaryOperator<Complex>, double, int) - Static method in class jline.api.lti.Laplace_invert: Invert F at t by the Concentrated Matrix Exponential method.
laplace_invert_euler(UnaryOperator<Complex>, double, int) - Static method in class jline.api.lti.Laplace_invert: Invert F at t by the Euler (Abate-Whitt) method.
laplace_invert_gaver_stehfest(UnaryOperator<Complex>, double, int) - Static method in class jline.api.lti.Laplace_invert: Invert F at t by Gaver-Stehfest.
laplace_invert_pdf(UnaryOperator<Complex>, double[], String, int) - Static method in class jline.api.lti.Laplace_invert: The DENSITY on a grid: the inversion clamped at zero.
laplace_invert_talbot(UnaryOperator<Complex>, double, int) - Static method in class jline.api.lti.Laplace_invert: Invert F at t by Talbot's deformed contour.
laplace_invert_weeks(UnaryOperator<Complex>, double) - Static method in class jline.api.lti.Laplace_invert: Convenience: build the parameters, then invert at one point.
laplace_invert_weeks(WeeksParams, double) - Static method in class jline.api.lti.Laplace_invert: Invert by the Laguerre series f(t) = sum_n q_n l_n(t), recovered as exp(sigma*b*t) f_{sigma,b}(b*t).
laplace_result(double) - Static method in class jline.lib.lti.gaverstehfest
laplace_result(Apcomplex) - Static method in class jline.lib.lti.abatewhitt
laplace_weeks_coeffs(UnaryOperator<Complex>, double, double, int) - Static method in class jline.api.lti.Laplace_invert: Laguerre coefficients q_n, n = 0..2*p0-1, of the damped and scaled function f_{sigma,b}(t) = exp(-sigma t) f(t/b), whose generating function is
laplace_weeks_scaling(UnaryOperator<Complex>) - Static method in class jline.api.lti.Laplace_invert: The search at the default p0 = 200 and tolerance 1e-10.
laplace_weeks_scaling(UnaryOperator<Complex>, int, double) - Static method in class jline.api.lti.Laplace_invert: The automatic (sigma, b) search of Fig.
laplaceapprox_h(Matrix, SerializableFunction<Matrix, Matrix>) - Static method in class jline.util.Maths
laplaceapprox_h_complex(Matrix, SerializableFunction<Matrix, ComplexMatrix>) - Static method in class jline.util.Maths
laplaceApproxComplexReturn(ComplexMatrix, Complex, Complex) - Constructor for class jline.util.Maths.laplaceApproxComplexReturn
laplaceApproxReturn(Matrix, double, double) - Constructor for class jline.util.Maths.laplaceApproxReturn
largescale_tbi() - Static method in class jline.examples.java.advanced.LargeScaleExample: Transient fluid solution of an O(M^2)-station closed network by TBI (largescale_tbi.m).
LargeScaleExample - Class in jline.examples.java.advanced: Large-scale transient fluid analysis with trajectory-based iteration (TBI).
LargeScaleExample() - Constructor for class jline.examples.java.advanced.LargeScaleExample
LAS_DA - Enum constant in enum jline.api.dqsys.GeoGeo1Convention: Late arrival system with delayed access: the state at the slot boundary, after both the departure and the arrival of the slot.
lastMinNormal - Variable in class jline.solvers.fluid.analyzers.RMFAnalyzer: The moment closure of the LAST network step, when the requested method is "minnormal".
lastPassageOde - Variable in class jline.solvers.fluid.analyzers.ClosingAndStateDepMethodsAnalyzer: The ODE built by the last solver_fluid call, carrying the immediate-elimination maps.
lastPerctMethod - Variable in class jline.solvers.NetworkSolver: Percentile extraction method of the last getPerctRespT call, for citations().
lastPermEngine - Variable in class jline.solvers.NetworkSolver: Permanent engine of the last getProbSysMarg call ("exact", "bethe", ...), so that citations() reports the estimator that produced the number rather than only the identity behind the metric.
latchCol - Variable in class jline.solvers.fluid.petri.PetriTerms
latchMode - Variable in class jline.solvers.fluid.petri.PetriTerms
latex - Variable in class jline.api.sym.SymEngine.FluidODEs: LaTeX form of each right hand side, or null if not requested
layer_init - Variable in class jline.solvers.SolverOptions.Config: SolverLN layer initialization strategy.
layerChains - Variable in class jline.solvers.ln.SolverLN: Cached sn.chains of a constrained layer, per ensemble index.
LayeredCQExamples - Class in jline.examples.java.advanced: Examples demonstrating layered queueing networks with contention queues (CQ).
LayeredCQExamples() - Constructor for class jline.examples.java.advanced.LayeredCQExamples
LayeredCQModel - Class in jline.examples.java.advanced: Model definitions for Layered CQ (Contention Queue) examples.
LayeredCQModel() - Constructor for class jline.examples.java.advanced.LayeredCQModel
LayeredExamples - Class in jline.examples.java.basic: Layered network examples mirroring the example notebooks in layeredModel.
LayeredExamples() - Constructor for class jline.examples.java.basic.LayeredExamples
LayeredModel - Class in jline.examples.java.basic: Examples of layered networks
LayeredModel() - Constructor for class jline.examples.java.basic.LayeredModel
LayeredNetwork - Class in jline.lang.layered: LayeredNetwork represents a layered queueing network (LQN) model for performance analysis of distributed and multi-tiered software systems.
LayeredNetwork(String) - Constructor for class jline.lang.layered.LayeredNetwork: Creates a new layered queueing network with the specified name.
LayeredNetworkAvgTable - Class in jline.solvers
LayeredNetworkAvgTable(List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.LayeredNetworkAvgTable
LayeredNetworkElement - Class in jline.lang.layered: Element of a LayeredNetwork model
LayeredNetworkElement(String) - Constructor for class jline.lang.layered.LayeredNetworkElement
LayeredNetworkElement.LinConRow - Class in jline.lang.layered: One admission constraint row declared by operand name.
LayeredNetworkElement.ServerPool - Class in jline.lang.layered: One declared pool, its operands held by name until getStruct resolves them.
LayeredNetworkGenerator - Class in jline.gen: A generator object that generates layered queueing network models based on user specification.
LayeredNetworkGenerator() - Constructor for class jline.gen.LayeredNetworkGenerator: Constructor with default settings
LayeredNetworkGenerator(double[], double[], double, double, double[], double[], double[], double[]) - Constructor for class jline.gen.LayeredNetworkGenerator: Constructor with custom settings
LayeredNetworkSensitivityTable - Class in jline.solvers: Layer-wise table of performance sensitivities of a layered network, one row per (Layer, Station, JobClass).
LayeredNetworkSensitivityTable(List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.LayeredNetworkSensitivityTable: Creates a layered sensitivity table from its four numeric columns.
LayeredNetworkStruct - Class in jline.lang.layered: Class summarizing the characteristics of a LayeredNetwork
LayeredNetworkStruct() - Constructor for class jline.lang.layered.LayeredNetworkStruct
LayeredNetworkStruct.CallGroupStruct - Class in jline.lang.layered: A caller activity, the strategy, and the entries it dispatches over.
LayeredNetworkStruct.ServerPools - Class in jline.lang.layered: The resolved pool block of one server: compat(t, j) nonzero = pool t may serve operand j.
LayeredSolverResult - Class in jline.solvers: Result container for layered queueing network solver analysis.
LayeredSolverResult() - Constructor for class jline.solvers.LayeredSolverResult
LayeredVisualizationExample - Class in jline.examples.java.basic: Demonstrates JUNG visualization of LayeredNetwork models using the plot() method.
LayeredVisualizationExample() - Constructor for class jline.examples.java.basic.LayeredVisualizationExample
layerHasRegion - Variable in class jline.solvers.ln.SolverLN: True per ensemble index if the layer carries an admission constraint.
layering - Variable in class jline.solvers.SolverOptions.Config: SolverLN layering strategy.
LB - Variable in class jline.io.Ret.pfqnHarelBounds: Lower bound on throughput
LC - Static variable in class jline.solvers.tr.TransformMethod: Load concealment (Birman-Kogan Algorithm 2), the first ITERATED strategy.
lcdScaling - Variable in class jline.lang.layered.LayeredNetworkElement: Handle beta(n): product-form class-dependent scaling, n counted over this server's operands.
lcdScaling - Variable in class jline.lang.nodes.Station
lcdScalingPeak - Variable in class jline.lang.layered.LayeredNetworkElement: Peak rate scaling per operand of lcdScaling, normalizes Util = T*S/peak.
lcdScalingPeak - Variable in class jline.lang.nodes.Station
LCFS - Enum constant in enum jline.lang.constant.RemovalPolicy
LCFS - Enum constant in enum jline.lang.constant.SchedStrategy: Last Come First Serve - most recent arrival served first (non-preemptive)
LCFSPI - Enum constant in enum jline.lang.constant.SchedStrategy: Last Come First Serve Preemptive Independent - arriving job preempts and service restarts from beginning
LCFSPIPRIO - Enum constant in enum jline.lang.constant.SchedStrategy: Last Come First Served Preemptive Independent with Priority - LCFSPI with priority classes
LCFSPR - Enum constant in enum jline.lang.constant.SchedStrategy: Last Come First Serve Preemptive Resume - arriving job preempts current service
LCFSPRIO - Enum constant in enum jline.lang.constant.SchedStrategy: Last Come First Served with Priority - LCFS with priority classes
LCFSPRPRIO - Enum constant in enum jline.lang.constant.SchedStrategy: Last Come First Served Preemptive Resume with Priority - LCFSPR with priority classes
LcfsqnCaResult - Class in jline.api.pfqn.lcfs
LcfsqnCaResult(double, double) - Constructor for class jline.api.pfqn.lcfs.LcfsqnCaResult
LcfsqnMvaResult - Class in jline.api.pfqn.lcfs: Result class for LCFS MVA algorithm.
LcfsqnMvaResult(Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.api.pfqn.lcfs.LcfsqnMvaResult
LcfsqnNcResult(double, Matrix[]) - Constructor for class jline.api.pfqn.lcfs.Pfqn_lcfsqn_nc.LcfsqnNcResult
Lchain - Variable in class jline.lang.ModelAdapter.DeaggInfo
lcq_async_cache() - Static method in class jline.examples.java.advanced.LayeredCQExamples: Layered cache queueing model with ASYNCHRONOUS (non-blocking) cache access (lcq_async_cache.m).
lcq_async_cache() - Static method in class jline.examples.java.advanced.LayeredCQModel: Model for lcq_async_cache.m: the client makes an ASYNCHRONOUS call to the cache and continues without waiting for the reply, which is what a prefetch or a cache warm-up does.
lcq_async_prefetch() - Static method in class jline.examples.java.basic.CacheModel: Layered cache queueing model with asynchronous (non-blocking) cache access.
lcq_async_vs_sync_comparison() - Static method in class jline.examples.java.basic.CacheModel: Comparison of synchronous vs asynchronous cache access patterns.
lcq_singlehost() - Static method in class jline.examples.java.advanced.LayeredCQExamples: Demonstrates a layered CQ model with a single host (lcq_singlehost.ipynb).
lcq_singlehost() - Static method in class jline.examples.java.advanced.LayeredCQModel: Model for lcq_singlehost.ipynb - matches MATLAB lcq_singlehost.m This model includes a cache task with hit/miss activities
lcq_singlehost() - Static method in class jline.examples.java.basic.CacheModel: Layered cache queueing model example 1.
lcq_threehosts() - Static method in class jline.examples.java.advanced.LayeredCQExamples: Demonstrates a layered CQ model with three hosts (lcq_threehosts.ipynb).
lcq_threehosts() - Static method in class jline.examples.java.advanced.LayeredCQModel: Model for lcq_threehosts.ipynb - matches MATLAB lcq_threehosts.m This model includes a cache task with three hosts (processors)
lcq_threehosts() - Static method in class jline.examples.java.basic.CacheModel: Layered cache queueing model example 2 with multi-level cache and downstream service.
LcStrategy - Class in jline.solvers.tr: LOAD CONCEALMENT as a model transformation, and the first ITERATED strategy of TransformSolve.
LcStrategy() - Constructor for class jline.solvers.tr.LcStrategy
LcStrategy.LcContext - Class in jline.solvers.tr: Carries the concealment state across the sweep.
ld - Variable in class jline.api.sn.SnToQrfAlpha.Result: True when alpha is not identically 1, i.e.
Ld() - Constructor for class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
LD - Enum constant in enum jline.lang.constant.ServiceStrategy
ld_class_dependence() - Static method in class jline.examples.java.advanced.LoadDependentExamples: Demonstrates load-dependent behavior with class dependence (ld_class_dependence.ipynb).
ld_class_dependence() - Static method in class jline.examples.java.advanced.LoadDependentModel: Class-dependent service capacity model.
ld_fes_multiclass() - Static method in class jline.examples.java.advanced.LoadDependentExamples: The same aggregation with two classes (ld_fes_multiclass).
ld_fes_multiclass() - Static method in class jline.examples.java.advanced.LoadDependentModel: The two-class tandem of `ld_fes_multiclass`, N = (3, 2).
ld_fes_singleclass() - Static method in class jline.examples.java.advanced.LoadDependentExamples: Norton's theorem on a single-class tandem, solved by convolution (ld_fes_singleclass).
ld_fes_singleclass() - Static method in class jline.examples.java.advanced.LoadDependentModel: The single-class tandem of `ld_fes_singleclass`, N = 5, queues named Q1..Q3.
ld_global_dependence() - Static method in class jline.examples.java.advanced.LoadDependentModel: Globally state-dependent (Whittle) model: setGlobalDependence declares a rate scaling phi(n) over the FULL (nstations x nclasses) population matrix, not just the population local to one station.
ld_joint_dependence() - Static method in class jline.examples.java.advanced.LoadDependentExamples: Demonstrates joint (non-product-form) load dependence (ld_joint_dependence.m).
ld_joint_dependence() - Static method in class jline.examples.java.advanced.LoadDependentModel: Joint-dependent (non-product-form) model, the twin of LoadDependentModel.ld_class_dependence() and the port of MATLAB ld_joint_dependence.m.
ld_multiserver_fcfs() - Static method in class jline.examples.java.advanced.LoadDependentExamples: Demonstrates load-dependent multi-server with FCFS discipline (ld_multiserver_fcfs.ipynb).
ld_multiserver_fcfs() - Static method in class jline.examples.java.advanced.LoadDependentModel: Basic load-dependent queue with FCFS scheduling.
ld_multiserver_ps() - Static method in class jline.examples.java.advanced.LoadDependentExamples: Demonstrates load-dependent multi-server with processor sharing (ld_multiserver_ps.ipynb).
ld_multiserver_ps() - Static method in class jline.examples.java.advanced.LoadDependentModel: Three-station network with multiple load-dependent queues.
ld_multiserver_ps_twoclasses() - Static method in class jline.examples.java.advanced.LoadDependentExamples: Demonstrates load-dependent PS with two classes (ld_multiserver_ps_twoclasses.ipynb).
ld_multiserver_ps_twoclasses() - Static method in class jline.examples.java.advanced.LoadDependentModel: Multi-class load-dependent network with PS scheduling.
ld_whittle_bandwidth() - Static method in class jline.examples.java.advanced.LoadDependentModel: Open Whittle network: a bandwidth-sharing model in which one route holds SEVERAL links at once, which no per-station rate scaling can express.
LDES - Class in jline.solvers.ldes: LDES is an alias for SolverLDES.
LDES - Enum constant in enum jline.lang.constant.SolverType
LDES(Network) - Constructor for class jline.solvers.ldes.LDES
LDES(Network, Object...) - Constructor for class jline.solvers.ldes.LDES
LDES(Network, String) - Constructor for class jline.solvers.ldes.LDES
LDES(Network, SolverOptions) - Constructor for class jline.solvers.ldes.LDES
ldes_warmstart() - Static method in class jline.examples.java.advanced.LDESWarmStartExample: Warm-starting an LDES run from an auxiliary solver (ldes_warmstart.m).
LdesCLI - Class in jline.cli: CLI for the standalone ldes.jar (LDES simulation engine).
LdesCLI() - Constructor for class jline.cli.LdesCLI
LDESOptions - Class in jline.solvers.ldes: Configuration options for the LDES solver.
LDESOptions() - Constructor for class jline.solvers.ldes.LDESOptions: Constructs a new LDESOptions instance with default LDES solver configuration.
LDESResult - Class in jline.solvers.ldes
LDESResult() - Constructor for class jline.solvers.ldes.LDESResult: Constructs an empty LDESResult to allow field population from different sources.
LDESResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Map<Integer, Matrix>, Matrix, NetworkStruct) - Constructor for class jline.solvers.ldes.LDESResult: Constructs a LDESResult with the specified performance metrics and state information.
LDESResultIO - Class in jline.io: Provides save/load functionality for LDES solver results to/from JSON format.
LDESResultIO() - Constructor for class jline.io.LDESResultIO
LdesStreamSeeds - Class in jline.solvers.ldes.handlers: The six MRG32k3a seeds of an LDES stream, derived from (run seed, stream offset) by splitmix64.
LDESWarmStartExample - Class in jline.examples.java.advanced: Demo of the LDES warm-start feature: an auxiliary solver is passed to SolverLDES as an argument, its steady-state distribution is computed, and that distribution decides the initial state of the simulation.
LDESWarmStartExample() - Constructor for class jline.examples.java.advanced.LDESWarmStartExample
ldiv(FieldMatrix<Complex>, FieldMatrix<Complex>) - Static method in class jline.api.mam.TransientQbd: MATLAB A \ B = inv(A) * B (A square).
ldqbd(List<Matrix>, List<Matrix>, List<Matrix>) - Static method in class jline.api.mam.Ldqbd
ldqbd(List<Matrix>, List<Matrix>, List<Matrix>, LdqbdOptions) - Static method in class jline.api.mam.Ldqbd
Ldqbd - Class in jline.api.mam: Level-Dependent Quasi-Birth-Death process solver.
ldqbd_mphc(Matrix, Matrix, Matrix, double, double[], double[]) - Static method in class jline.api.mam.LdqbdMphc: Block-tridiagonal generator of an M/PH/c queue with level-dependent arrivals.
ldqbd_mphc(Matrix, Matrix, Matrix, double, double[], double[], boolean) - Static method in class jline.api.mam.LdqbdMphc: As LdqbdMphc.ldqbd_mphc(Matrix, Matrix, Matrix, double, double[], double[]); with carry true the service is a correlated (non-renewal) MAP carried from one service to the next in START order, idle periods included: each job's service begins in the phase the previous job's service ended in, which is how JMT and LDES sample it, and alpha is unused.
LdqbdMphc - Class in jline.api.mam: Exact level-dependent QBD blocks of an M/PH/c queue.
LdqbdMphc.Blocks - Class in jline.api.mam: The three block lists of a level-dependent QBD, in the order Ldqbd takes them.
LdqbdOptions - Class in jline.api.mam: Options for LDQBD solver.
LdqbdOptions() - Constructor for class jline.api.mam.LdqbdOptions
LdqbdOptions(double, int, boolean) - Constructor for class jline.api.mam.LdqbdOptions
LdqbdResult - Class in jline.api.mam: Result of LDQBD solver containing rate matrices and stationary distribution.
LdqbdResult(List<Matrix>, Matrix) - Constructor for class jline.api.mam.LdqbdResult
LdqbdResult(List<Matrix>, Matrix, List<Matrix>) - Constructor for class jline.api.mam.LdqbdResult
lE - Variable in class jline.io.Ret.cacheIs
leafOf - Variable in class jline.lang.workflow.Workflow.SPTree: Node index of each activity leaf, -1 when absent.
leak - Variable in class jline.solvers.fluid.petri.PetriConservation: max|C D|: how far the rows fail to be invariants, and zero when they are.
left - Variable in class jline.api.mc.Ctmc_foxglynn.FoxGlynnWeights
leftMatrixDivide(ComplexMatrix) - Method in class jline.util.matrix.ComplexMatrix: Solves the complex linear system A*x = b.
leftMatrixDivide(Matrix) - Method in class jline.util.matrix.Matrix: Solves the equation AX = B for X, where A is this matrix and B is the right-hand side.
legalStrategies - Static variable in class jline.lang.OutputStrategy: Routing strategies an OutputStrategy may carry.
len - Variable in class jline.lang.state.CtmcPool
length - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
length() - Method in class jline.lang.ClassSwitchMatrix
length() - Method in class jline.solvers.mva.ProbabilityResult: Get the length of the probability distribution.
length() - Method in class jline.util.matrix.Matrix: Returns the length of the matrix, defined as max(rows, cols).
LEPT - Enum constant in enum jline.lang.constant.SchedStrategy: Longest Expected Processing Time - based on expected remaining service time
leq(double) - Method in class jline.api.mapqn.Mapqn_lpmodel.LinearConstraintBuilder
lev - Variable in class jline.api.mdd.MddEvent: Levels the event touches, as 0-based station indices, aligned with W.
level - Variable in class jline.api.pfqn.Pfqn_sdr.Coeff: level[b], the unique t with B_b in V_t - V_{t+1}.
level - Variable in class jline.io.tikz.SequenceDiagramTraverser.Interaction
level - Variable in class jline.lang.StateDepRouting: level[b] is the unique t with B_b in V_t - V_{t+1}; level[0] is unused.
level - Variable in class jline.solvers.ag.handlers.RCATModel
level - Variable in class jline.solvers.SolverOptions: Hierarchy level for SolverBA bound hierarchies (pbh/bjbh/cbh MVA-step depth).
LevelDependentFluidSolution - Class in jline.lib.butools.mam: Matrix-exponential building blocks of a first/second-order level-dependent fluid queue, as produced by SecondOrderLevelDependentFluidSolve and consumed by LevelDependentFluidStationary.
LevelDependentFluidSolution(List<Matrix>, List<Matrix>, List<Matrix>, List<Matrix>, List<Matrix>, List<Matrix>, List<Matrix>) - Constructor for class jline.lib.butools.mam.LevelDependentFluidSolution
LevelDependentFluidStationary - Class in jline.lib.butools.mam
levelkind - Variable in class jline.api.spn.Spn_mdd.SpnInfo: 1 for a place level, 2 for a phase level.
levelname - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
levelname - Variable in class jline.api.spn.Spn_mdd.SpnInfo
levelOf - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Flat
levelProb - Variable in class jline.api.qsys.QsysBmapM1Result: Level probabilities pi_n as rows (level 0 first).
levels - Variable in class jline.api.mdd.MddStats: Number of variable levels.
levelSizes - Variable in class jline.api.mdd.MddMcdResult: |M_k| per paper level.
levelSizes - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult: |M_k| per paper level.
Lfactor - Variable in class jline.api.pfqn.mva.SjnOptions: Grid extent, in units of the largest mean service time at the station.
Lfcfs - Variable in class jline.api.fj.FJ_parallel.FJTsmCapacityResult
lg - Variable in class jline.api.pfqn.nc.Pfqn_rgf.Result: Logarithms of g(0), g(1), ..., g(N).
lG - Variable in class jline.api.dpfqn.DpfqnNcLdResult: Logarithm of the normalizing constant G(N,J).
lG - Variable in class jline.api.dpfqn.DpfqnNcResult: Logarithm of the time-stationary normalizing constant G(N,J).
lG - Variable in class jline.api.lossn.Lossn_rec.LossnRecResult: log of the normalising constant G(C).
lG - Variable in class jline.api.pfqn.ld.Pfqn_explicit_ld.Result: Logarithm of the normalizing constant.
lG - Variable in class jline.api.pfqn.nc.Pfqn_dnc.Result: Logarithm of the normalizing constant.
lG - Variable in class jline.api.pfqn.nc.Pfqn_explicit.Result: Logarithm of the normalizing constant.
lG - Variable in class jline.api.pfqn.nc.Pfqn_nre.Result: Logarithm of the normalizing constant, Edgeworth correction included.
lG - Variable in class jline.api.pfqn.nc.Pfqn_pas_is.Result
lG - Variable in class jline.api.pfqn.nc.Pfqn_rgf.Result: Logarithm of G(N).
lG - Variable in class jline.api.pfqn.nc.Pfqn_rgfmc.Result: Logarithm of G(N).
lG - Variable in class jline.api.pfqn.nc.PfqnCycletResult: Log of the network normalizing constant at population N-1.
lG - Variable in class jline.api.pfqn.Pfqn_jointmarg.Ret_jointmarg: Log normalizing constant used, whether supplied or computed here.
lG - Variable in class jline.api.pfqn.Pfqn_sdr.Result: Logarithm of the normalizing constant.
lG - Variable in class jline.io.Ret.lossnManjunath
lG - Variable in class jline.io.Ret.lossnMCI
lG - Variable in class jline.io.Ret.pfqnComomrm
lG - Variable in class jline.io.Ret.pfqnComomrmLd
lG - Variable in class jline.io.Ret.pfqnComomrmMs
lG - Variable in class jline.io.Ret.pfqnManjunath
lG - Variable in class jline.io.Ret.pfqnMVALD
lG - Variable in class jline.io.Ret.pfqnMVALDMX
lG - Variable in class jline.io.Ret.pfqnNc
lG - Variable in class jline.io.Ret.pfqnNcComplex
lG - Variable in class jline.io.Ret.pfqnNcldmx
lG - Variable in class jline.io.Ret.pfqnNcXQ
lG - Variable in class jline.io.Ret.pfqnOiNc
lG - Variable in class jline.io.Ret.pfqnProcomom2
lG - Variable in class jline.io.Ret.pfqnRd
lG - Variable in class jline.solvers.mam.MAMResult
lG - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
lG - Variable in class jline.solvers.nc.handlers.Solver_nc_jointmarg.Ret_jointmarg: Log normalizing constant, whether supplied or computed here.
lG - Variable in class jline.solvers.nc.NCResult
lG - Variable in class jline.solvers.nc.SolverNC.SolverNCJointReturn
lG - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
lG - Variable in class jline.solvers.nc.SolverNC.SolverNCMargReturn
lG - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
lG - Variable in class jline.solvers.tr.TransformSolve.Inner: log G, NaN when the inner solver does not produce one.
lG - Variable in class jline.solvers.tr.TransformSolve.Result
lGbasis - Variable in class jline.io.Ret.pfqnComomrm
lGexpr - Variable in class jline.io.Ret.pfqnNcSym: The FORMAL log(G), as text; see the class note.
lGN - Variable in class jline.io.Ret.pfqnMVA
lGopen - Variable in class jline.io.Ret.pfqnNcldmx
lGremaind - Variable in class jline.io.Ret.pfqnNcSanitize
lGs - Variable in class jline.api.pfqn.nc.Pfqn_nre.Result: Logarithm of the saddlepoint term alone, i.e.
lhs - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
LI - Enum constant in enum jline.lang.constant.ServiceStrategy
libraries() - Method in class jline.solvers.NetworkSolver: Third-party libraries this solver will use on its own model, without printing anything.
lift(FJTagTransform.Context, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, AvgHandle) - Static method in class jline.solvers.tr.FJTagTransform: Folds the auxiliary sibling classes back onto the original ones.
lift(TransformSolve.Expanded, List<TransformSolve.Inner>) - Method in class jline.solvers.tr.ChainsStrategy
lift(TransformSolve.Expanded, List<TransformSolve.Inner>) - Method in class jline.solvers.tr.LcStrategy
lift(TransformSolve.Expanded, List<TransformSolve.Inner>) - Method in interface jline.solvers.tr.TransformSolve.Strategy: Maps the subproblem metrics back onto the original model.
Lifted(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.solvers.tr.TransformSolve.Lifted
LikelihoodFromTrace - Class in jline.lib.butools.fitting
likelihoodFromTraceMAP(double[], Matrix, Matrix) - Static method in class jline.lib.butools.fitting.LikelihoodFromTrace
likelihoodFromTraceMAP(double[], Matrix, Matrix, double) - Static method in class jline.lib.butools.fitting.LikelihoodFromTrace: Evaluates the log-likelihood of a trace with the given MAP.
likelihoodFromTracePH(double[], Matrix, Matrix) - Static method in class jline.lib.butools.fitting.LikelihoodFromTrace
likelihoodFromTracePH(double[], Matrix, Matrix, double) - Static method in class jline.lib.butools.fitting.LikelihoodFromTrace: Evaluates the log-likelihood of a trace with the given PH distribution.
lincon - Variable in class jline.lang.layered.LayeredNetworkStruct
linConA - Variable in class jline.lang.layered.LayeredNetworkElement: Matrix(C,K): admission constraint matrix on this server's layer station.
linConB - Variable in class jline.lang.layered.LayeredNetworkElement: Matrix(C,1): admission constraint capacities.
LinConRow(List<String>, double[], double) - Constructor for class jline.lang.layered.LayeredNetworkElement.LinConRow
linConRows - Variable in class jline.lang.layered.LayeredNetworkElement: Rows declared by operand name, resolved in LayeredNetwork.getStruct.
LINE - Class in jline.solvers.auto: LINE solver - Java implementation equivalent to MATLAB LINE.m
LINE(Network, Object...) - Constructor for class jline.solvers.auto.LINE: Constructor - alias for SolverAUTO
LINE(Network, String) - Constructor for class jline.solvers.auto.LINE: Constructor with method string
LINE(Network, SolverOptions) - Constructor for class jline.solvers.auto.LINE: Constructor with options
line_ack(VerboseLevel, String) - Static method in class jline.io.InputOutput
line_citation(String) - Static method in class jline.io.InputOutput: Return the BibTeX entry for the canonical paper of an external tool that a wrapper solver delegates to, so that the acknowledgement printed by InputOutput.line_ack(VerboseLevel, String) can be turned into a citation without retyping it.
line_debug(VerboseLevel, String) - Static method in class jline.io.InputOutput: Print debug message if verbose level is DEBUG
line_error(String, String) - Static method in class jline.io.InputOutput: Report a deliberate LINE diagnostic and abort.
line_error(String, String, Throwable) - Static method in class jline.io.InputOutput: Report an error that was caused by another throwable, keeping the cause.
line_warning(String, String, Object...) - Static method in class jline.io.InputOutput
line_warning_always(String, String, Object...) - Static method in class jline.io.InputOutput: Emit a warning without the repeat suppression applied by InputOutput.line_warning(java.lang.String, java.lang.String, java.lang.Object...).
LINE2JAVA - Class in jline.io: Writes the Java (JLINE) source of a model, dispatching on its type.
LINE2JSIMG(Network) - Method in class jline.io.M2M: Converts a LINE Network model to JSIMG file format with automatic filename generation.
LINE2JSIMG(Network, String) - Method in class jline.io.M2M: Converts a LINE Network model to JSIMG file format for use with JMT.
LINE2MATLAB - Class in jline.io: Writes the MATLAB script of a model, dispatching on its type.
LINEAR - Static variable in class jline.lang.constant.RetrialPolicy: Each orbiting customer retries at its own rate: aggregate rate n*nu.
LinearConstraintBuilder(int) - Constructor for class jline.api.mapqn.Mapqn_lpmodel.LinearConstraintBuilder
linearizer - Variable in class jline.solvers.NetworkMomentStationResult: The Linearizer result, non-null when the method was "lin".
LinearizerResult(Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.LinearizerResult
LinearizerResult(Matrix, Matrix, Matrix, int) - Constructor for class jline.io.Ret.LinearizerResult
LinearizerResult(Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.LinearizerResult
LinearizerResult(Matrix, Matrix, Matrix, Matrix, Matrix, int) - Constructor for class jline.io.Ret.LinearizerResult
LinearizerResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Integer) - Constructor for class jline.io.Ret.LinearizerResult
LinearReductionParameters - Class in jline.api.mapqn: Parameters for linear reduction models with phases.
LinearReductionParameters(int, int, int[], Matrix[], Matrix, Matrix[]) - Constructor for class jline.api.mapqn.LinearReductionParameters
LineCitations - Class in jline.io: Bibliographic references for the algorithms LINE uses.
LineCitations.Citation - Class in jline.io: One bibliographic reference and the part of the solution it covers.
LineCLI - Class in jline.cli: The LineCLI class provides a command-line interface for configuring and running the LINE Solver.
LineCLI() - Constructor for class jline.cli.LineCLI: Default constructor for the LineCLI class.
LineConsole - Class in jline.io: Running progress log of a LINE solver run (the "solver console").
LineDockerClient - Class in jline.cli: A client for sending layered network models to a Docker-based LINE server.
LineDockerClient() - Constructor for class jline.cli.LineDockerClient
LineEvaluator - Class in jline.opt: Interface between the optimizer and LINE's SolverAUTO.
LineEvaluator(LayeredNetwork, List<DecisionVariable>, List<Pair<DecisionVariable, Object>>) - Constructor for class jline.opt.LineEvaluator
LineEvaluator(Network, List<DecisionVariable>, List<Pair<DecisionVariable, Object>>) - Constructor for class jline.opt.LineEvaluator
LineExamples - Class in jline.examples.parity: LineExamples: run one reference example by name, out of the JAR.
LineExamples() - Constructor for class jline.examples.parity.LineExamples
LineException - Exception in jline.io: The exception every deliberate LINE diagnostic throws.
LineException(String) - Constructor for exception jline.io.LineException
LineException(String, Throwable) - Constructor for exception jline.io.LineException
LineInstall - Class in jline.cli: Environment check for the JAR, mirroring MATLAB's lineInstall.
LineModelIO - Class in jline.io: Provides save/load functionality for LINE queueing network models to/from JSON format.
LineModelIO() - Constructor for class jline.io.LineModelIO
LineOptExamples - Class in jline.examples.opt: Runnable demonstrations of the line-opt optimization framework, mirroring the scripts in python/examples/opt/ and matlab/examples/opt/.
LineOptExamples() - Constructor for class jline.examples.opt.LineOptExamples
LineOptSolver - Class in jline.opt.solver: Main line-opt solver.
LineOptSolver(OptimizationProblem, LineOptSolverOptions) - Constructor for class jline.opt.solver.LineOptSolver
LineOptSolverOptions - Class in jline.opt.solver: Configuration options for LineOptSolver, mirroring the option dict of native-Python LineOptSolver.defaultOptions().
LineOptSolverOptions() - Constructor for class jline.opt.solver.LineOptSolverOptions
LineResultRecorder - Class in jline.io: Capture the result tables a run produces, with the solver that produced them.
LineResultRecorder.Body<T> - Interface in jline.io: A getter body, so a caller can wrap one in LineResultRecorder.around(java.lang.Object, java.lang.String, jline.io.LineResultRecorder.Body<T>) in a single line.
lineStart() - Static method in class jline.io.InputOutput: Prints the LINE startup banner, as MATLAB's lineStart and python's line_solver.lineStart do.
lineTempName() - Static method in class jline.io.SysUtils
lineTempName(String) - Static method in class jline.io.SysUtils
lineTempName(String, boolean) - Static method in class jline.io.SysUtils: As SysUtils.lineTempName(String), but when mountable is true the workspace is rooted under $HOME/.line instead of the system temp dir.
LineTimeout - Class in jline.util: Session-level cooperative wall-clock budget (port of MATLAB lineTimeoutExceeded's global-deadline form).
lineViewerGetPath() - Static method in class jline.io.SysUtils
LineWebSocketClient - Class in jline.cli: LineWebSocketClient is a WebSocket client used to communicate with the LINE Solver server.
LineWebSocketClient(URI, String) - Constructor for class jline.cli.LineWebSocketClient: Constructs a new LineWebSocketClient instance.
LineWebSocketServer - Class in jline.cli: LineWebSocketServer is a WebSocket server that receives client connections, processes incoming messages, and interacts with the LINE Solver.
LineWebSocketServer(int) - Constructor for class jline.cli.LineWebSocketServer: Constructs a new LineWebSocketServer instance on the specified port.
LineWebSocketServer(String, int) - Constructor for class jline.cli.LineWebSocketServer: Constructs a new LineWebSocketServer instance on the specified host and port.
LineWebSocketServer(InetSocketAddress) - Constructor for class jline.cli.LineWebSocketServer: Constructs a new LineWebSocketServer instance with a specified address.
link(Node) - Method in class jline.lang.nodes.Node: Links this node to another one in the model it belongs to.
link(RoutingMatrix) - Method in class jline.lang.Network
linkage - Variable in class jline.api.spn.Spn_pf.SpnPfResult
Linkage - Class in jline.lang.sections: Output section of a Place in a Stochastic Petri net model
Linkage(List<JobClass>) - Constructor for class jline.lang.sections.Linkage
linkAndLog(RoutingMatrix, boolean[], String) - Method in class jline.lang.Network: Links the network with logging capability Creates Logger nodes before and after specified stations and updates routing matrix
linkMatrix - Variable in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
linksmat - Variable in class jline.lang.Network.routingMatrixReturn
linsolve(Matrix, Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Solves A*X = B via partial-pivot LU (LAPACK-equivalent accuracy).
linSpace(double, double, int) - Static method in class jline.util.Maths
list - Variable in class jline.api.cache.Cache_cost_pathcheck.BlockedPair
listAllMethods() - Method in class jline.solvers.auto.SolverAUTO: Every token the CONSTRUCTOR accepts, INDEPENDENT of the model: the selection intents, the method families, and every family method in its QUALIFIED form.
listAllMethods() - Static method in class jline.solvers.ba.SolverBA: Every bound method the solver implements, independently of the model.
listValidMethods() - Method in class jline.examples.java.advanced.SolverCustom: The method names this solver accepts.
listValidMethods() - Method in class jline.solvers.ag.SolverAG
listValidMethods() - Method in class jline.solvers.auto.SolverAUTO: The method names of SolverAUTO.listAllMethods() that THIS MODEL can actually run.
listValidMethods() - Method in class jline.solvers.ba.SolverBA: Bound methods this MODEL can run: a narrowing of SolverBA.listAllMethods().
listValidMethods() - Method in class jline.solvers.ctmc.SolverCTMC
listValidMethods() - Method in class jline.solvers.env.SolverENV: Returns the list of valid solution methods supported by this solver.
listValidMethods() - Method in class jline.solvers.fluid.SolverFluid
listValidMethods() - Method in class jline.solvers.ldes.SolverLDES: Returns the list of valid solution methods for LDES.
listValidMethods() - Method in class jline.solvers.ln.SolverLN: Valid methods for this solver, SolverLN.m verbatim.
listValidMethods() - Method in class jline.solvers.mam.SolverMAM
listValidMethods() - Method in class jline.solvers.mva.SolverMVA: List all valid solution methods supported by this solver
listValidMethods() - Method in class jline.solvers.nc.SolverNC: List all valid solution methods for this solver
listValidMethods() - Method in class jline.solvers.ssa.SolverSSA
listValidMethods() - Method in class jline.solvers.uq.SolverUQ: Valid methods for this solver, UQ.listValidMethods in MATLAB verbatim.
listValidMethods() - Method in class jline.solvers.wrappers.jmt.SolverJMT
listValidMethods() - Method in class jline.solvers.wrappers.lqns.SolverLQNS
listValidMethods(Network) - Method in class jline.solvers.ag.SolverAG
listValidMethods(Network) - Method in class jline.solvers.ldes.SolverLDES: Returns the list of valid solution methods for LDES.
listValidMethods(Network) - Method in class jline.solvers.mam.SolverMAM
listValidMethods(Network) - Method in class jline.solvers.ssa.SolverSSA
listValidMethods(Network) - Method in class jline.solvers.wrappers.jmt.SolverJMT
listValidMethods(Network) - Method in class jline.solvers.wrappers.lqns.SolverLQNS: The method names for the model this solver holds: the layered ones on a LayeredNetwork, SolverLQNS.qnsMethods() on a flat Network.
listValidOptions() - Static method in class jline.solvers.Solver: Returns lists of valid options and methods supported by solvers.
Ljd - Class in jline.api.pfqn.ld
ljd_delinearize(int, Matrix) - Static method in class jline.api.pfqn.ld.Ljd: Inverse of Ljd.ljd_linearize(jline.util.matrix.Matrix, jline.util.matrix.Matrix): the population vector behind an index.
ljd_linearize(Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Ljd: Convert per-class population vector to linearized index (0-indexed).
ljdScaling - Variable in class jline.lang.layered.LayeredNetworkElement: Handle eta(n): non-product-form joint-dependent scaling, n counted over this server's operands.
ljdScaling - Variable in class jline.lang.nodes.Station
ljdScalingPeak - Variable in class jline.lang.layered.LayeredNetworkElement: Peak rate scaling per operand of ljdScaling, normalizes Util = T*S/peak.
ljdScalingPeak - Variable in class jline.lang.nodes.Station
LJF - Enum constant in enum jline.lang.constant.SchedStrategy: Longest Job First - jobs with largest service requirement served first
lldlimit - Variable in class jline.lang.state.AfterEventContext: Number of columns of lldscaling.
lldscaling - Variable in class jline.lang.layered.LayeredNetworkStruct
lldscaling - Variable in class jline.lang.NetworkStruct
lldscaling - Variable in class jline.lang.state.AfterEventContext: Load-dependent scaling matrix (defaulted to ones if sn.lldscaling is empty).
lldscaling - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
lldScaling - Variable in class jline.lang.layered.LayeredNetworkElement: Vector alpha(n): rate scaling of this server's layer station when it holds n jobs.
lldScaling - Variable in class jline.lang.nodes.Station
lldScaling(double[], double) - Static method in class jline.solvers.fluid.moments.FluidClosures: Limited load-dependent rate scaling at a CONTINUOUS population, mirroring MATLAB fluid_lld_scaling.
Llp - Variable in class jline.api.fj.FJ_parallel.FJTsmCapacityResult
Lmax - Variable in class jline.api.fj.FJ_parallel.FJTsmCapacityResult
Lmax - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: max over j and (i,k) of L.
LN - Class in jline.solvers.ln: LN is an alias for SolverLN (Layered Network solver).
LN - Enum constant in enum jline.lang.constant.SolverType
LN(LayeredNetwork) - Constructor for class jline.solvers.ln.LN
LN(LayeredNetwork, SolverType) - Constructor for class jline.solvers.ln.LN
LN(LayeredNetwork, SolverType, SolverOptions) - Constructor for class jline.solvers.ln.LN
LN(LayeredNetwork, SolverFactory) - Constructor for class jline.solvers.ln.LN
LN(LayeredNetwork, SolverFactory, SolverOptions) - Constructor for class jline.solvers.ln.LN
LN(LayeredNetwork, SolverFactory, SolverOptions, SolverType) - Constructor for class jline.solvers.ln.LN: A factory whose layer solver is NAMED, which a lambda cannot be asked for.
LN(LayeredNetwork, SolverOptions) - Constructor for class jline.solvers.ln.LN
ln_transient - Variable in class jline.solvers.SolverOptions.Config: SolverLN transient coupling mode: "coupled" (default) runs the waveform-relaxation coupled layered transient, "decoupled" freezes the inter-layer demands at the converged fixed point.
ln_transient_channels - Variable in class jline.solvers.SolverOptions.Config: SolverLN coupled transient: which inter-layer coupling channels are injected, "both" (default), "thinkt" (client-delay only) or "callservt" (synchronous-call service only).
ln_transient_iter_max - Variable in class jline.solvers.SolverOptions.Config: SolverLN coupled transient: maximum number of waveform-relaxation iterations.
ln_transient_tol - Variable in class jline.solvers.SolverOptions.Config: SolverLN coupled transient: sup-norm tolerance on the queue-length trajectory change between relaxation iterations.
lnaCovariance(double[]) - Method in class jline.lib.rmf.CacheRMF: Stationary covariance of the occupancy process under the linear noise approximation: the solution of F'(x) W + W F'(x)' + Q(x) = 0 with the same CacheRMF.jacobian(double[]) and CacheRMF.noiseMatrix(double[]) the 1/N correction is built from, so mean and covariance linearise about the identical drift.
lnInterlockMethod(LayeredNetworkStruct, SolverOptions.Config, String) - Static method in class jline.solvers.ln.SolverLN: Interlock tracking method a run will actually use, asked as a query (port of ln_interlock_method.m).
LNLDESResult - Class in jline.solvers.ldes: Result container for LayeredNetwork LDES simulation.
LNLDESResult() - Constructor for class jline.solvers.ldes.LNLDESResult
lnmethod - Variable in class jline.solvers.ln.SolverLN: The method the layers were actually BUILT for: 'srvn.ph', 'srvn.cs', 'flat.cs' or 'moment3'.
LNOptions - Class in jline.solvers.ln
LNOptions() - Constructor for class jline.solvers.ln.LNOptions
lNormConst - Variable in class jline.solvers.nc.SolverNC.NormalizingConstantResult
lnRequestedMethod(String) - Static method in class jline.solvers.ln.SolverLN: Normalise a method name onto one the solver dispatches on.
LNState() - Constructor for class jline.solvers.ln.SolverLN.LNState
LNTranAvgResult - Class in jline.solvers.ln: Transient average metrics of a layered network, assembled block-diagonally across the ensemble layers by SolverLN.getTranAvg().
LNTranAvgResult(Matrix[][], Matrix[][], Matrix[][], Matrix[][]) - Constructor for class jline.solvers.ln.LNTranAvgResult
lo - Variable in class jline.api.fj.FJ_charmax_ext.FJCharMaxBlomResult
Lo - Variable in class jline.io.Ret.pfqnLDMXEC
Lo - Variable in class jline.io.Ret.pfqnSensLdmxEc
load(String) - Static method in class jline.io.LDESResultIO: Loads an LDESResult from a JSON file.
load(String) - Static method in class jline.io.LineModelIO: Loads a model from a JSON file.
load(String) - Static method in class jline.io.PnmlIO: Read the first net of a PNML place/transition document.
load(String) - Static method in class jline.io.WfCommonsLoader: Load a WfCommons JSON file into a Workflow object.
load(String) - Static method in class jline.lang.layered.LayeredNetwork: Loads a layered queueing network from an XML file with default verbose setting.
load(String) - Static method in class jline.solvers.auto.LINE: Loads a Network model from a file.
load(String, boolean) - Static method in class jline.lang.layered.LayeredNetwork: Loads a layered queueing network from an XML file.
load(String, boolean) - Static method in class jline.solvers.auto.LINE: Loads a Network model from a file with optional verbose output.
load(String, String) - Static method in class jline.io.PnmlIO: Read one net of a PNML place/transition document.
load(String, WfCommonsOptions) - Static method in class jline.io.WfCommonsLoader: Load a WfCommons JSON file with options.
load(String, Network, Object...) - Static method in class jline.solvers.auto.LINE: Static factory method to create and configure a solver based on the chosen method This matches the MATLAB LINE.load() static method functionality
loadBalancing() - Static method in class jline.examples.opt.LineOptExamples: Routing split minimizing end-to-end response time (theory fast 0.743).
loadBaseline(String) - Static method in class jline.bench.BenchmarkRegression: Load regression baseline from file
loadClassNames(String) - Static method in class jline.io.LDESResultIO: Returns class names from a result JSON file, or null if unavailable.
LoadDependentExamples - Class in jline.examples.java.advanced: Examples demonstrating load-dependent queueing behavior.
LoadDependentExamples() - Constructor for class jline.examples.java.advanced.LoadDependentExamples
LoadDependentModel - Class in jline.examples.java.advanced: Examples of models with load-dependent stations
LoadDependentModel() - Constructor for class jline.examples.java.advanced.LoadDependentModel
loadFromString(String) - Static method in class jline.io.WfCommonsLoader: Load a workflow from a JSON string.
loadFromString(String, WfCommonsOptions) - Static method in class jline.io.WfCommonsLoader: Load a workflow from a JSON string with options.
loadFromUrl(String) - Static method in class jline.io.WfCommonsLoader: Load a WfCommons JSON file from a URL.
loadFromUrl(String, WfCommonsOptions) - Static method in class jline.io.WfCommonsLoader: Load a WfCommons JSON file from a URL with options.
loadStationNames(String) - Static method in class jline.io.LDESResultIO: Returns station names from a result JSON file, or null if unavailable.
LOCAL - Enum constant in enum jline.lang.constant.EventType
localCommand(String, String, String, int) - Static method in class jline.solvers.wrappers.jmt.JmtBackend: Builds the shell command that runs one JMT analysis locally.
localStateSpace - Variable in class jline.solvers.ctmc.SolverCTMC.StateSpace
log() - Method in class jline.util.matrix.Matrix: Applies the natural logarithm element-wise.
logBinomial(int, int) - Static method in class jline.util.Maths: Computes log(n choose k) = log Γ(n+1) − log Γ(k+1) − log Γ(n−k+1).
logdetSigma - Variable in class jline.api.cache.Cache_spm_size.Result: log det of the Hessian in (log xi, log zeta), restricted to the free coordinates.
logdetSigma - Variable in class jline.api.retrieval.Retrieval_rayint.Result: log det of the Hessian in log xi.
logE - Variable in class jline.api.cache.Cache_spm_size.Result: Natural logarithm of E, safe for large n.
logE - Variable in class jline.api.retrieval.Retrieval_rayint.Result: Natural logarithm of E, safe for large n.
Logger - Class in jline.lang.nodes: A node that logs passage of jobs
Logger - Enum constant in enum jline.lang.constant.NodeType: Logger node - records job passage for monitoring
Logger(Network, String, String) - Constructor for class jline.lang.nodes.Logger
loggerName - Variable in class jline.lang.nodeparam.LoggerNodeParam: Whether to include logger node name in log entries
LoggerNodeParam - Class in jline.lang.nodeparam: Parameter container for logger nodes in queueing networks.
LoggerNodeParam() - Constructor for class jline.lang.nodeparam.LoggerNodeParam: Constructs a new LoggerNodeParam with default logging configuration.
logI - Variable in class jline.util.Maths.laplaceApproxComplexReturn
logI - Variable in class jline.util.Maths.laplaceApproxReturn
logli - Variable in class jline.lib.butools.fitting.MAPFitResult
logli - Variable in class jline.lib.butools.fitting.PHFromTrace.PHFitResult
logLikelihood - Variable in class jline.lib.kpctoolbox.erchmm.ERCHMMFitResult
logmeanexp(Matrix) - Static method in class jline.util.Maths
lognorm - Variable in class jline.lib.lti.iltcme.CmeEntry
Lognormal - Class in jline.lang.processes: A Lognormal distribution.
Lognormal(double, double) - Constructor for class jline.lang.processes.Lognormal
LOGNORMAL - Enum constant in enum jline.lang.constant.ProcessType
logNormalizingConstant - Variable in class jline.io.Ret.ProbabilityResult: The logarithm of the normalizing constant (for methods that compute it).
logNormConstAggr - Variable in class jline.solvers.ctmc.CTMCResult.Prob
logNormConstAggr - Variable in class jline.solvers.mva.MVAResult: Logarithm of the aggregate normalizing constant
logNormConstAggr - Variable in class jline.solvers.wrappers.jmt.JMTResult
logNormConstAggr() - Method in class jline.solvers.nc.NCResult: Log normalizing constant of the analyzed model, or NaN when none was computed.
logp - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: Its natural logarithm, accurate below the smallest positive double.
logPnir - Variable in class jline.solvers.fluid.FluidResult: Logarithm of aggregate state probability
logProbability - Variable in class jline.solvers.mva.ProbabilityResult: The logarithm of the scalar probability value
logProbability(double[], double[][], double[], double[]) - Static method in class jline.solvers.fluid.moments.MvnRectangle: Natural logarithm of MvnRectangle.probability(double[], double[][], double[], double[]), negative infinity when the probability is zero.
logSpace(double, double, int) - Static method in class jline.util.Maths
logspacei(double, double, int) - Static method in class jline.lib.kpctoolbox.basic.BasicUtils: Generates logarithmically spaced integers in [a, b].
logSpacei(int, int, int) - Static method in class jline.util.Maths: Generates an integer list of n logarithmically spaced values.
logSum(Matrix) - Static method in class jline.util.matrix.Matrix: Computes the sum of the natural logarithms of all elements in the matrix.
logsumexp(Matrix) - Static method in class jline.util.matrix.Matrix: Computes log(sum_i exp(x_i)) in a numerically stable way (log-sum-exp trick).
LogTunnel - Class in jline.lang.sections: A section that forwards jobs without introducing delays in a Log node
LogTunnel() - Constructor for class jline.lang.sections.LogTunnel
LogTunnel(String) - Constructor for class jline.lang.sections.LogTunnel
lookup(Matrix) - Method in class jline.util.PrecomputedTableFunction: Looks up the tabulated value for a state.
lookupSimple(String) - Method in class jline.util.matrix.MatrixEquation: Retrieves a matrix result from the equation context by variable name.
lookupVector(Matrix) - Method in class jline.util.PrecomputedTableFunction: Looks up the tabulated per-class value for a state.
loop(String, Object...) - Static method in class jline.io.LineConsole: Announce an iteration loop and reset its reporting budget.
Loop(String, String, String, double) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a loop relationship.
Loop(String, String, String, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a loop relationship.
Loop(String, List<String>, double) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a loop relationship.
Loop(String, List<String>, String, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence
Loop(String, List<String>, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a loop relationship.
Loop(Activity, List<Activity>, double) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a loop relationship.
Loop(Activity, List<Activity>, Activity, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence
Loop(Activity, List<Activity>, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a loop relationship.
Loop(Activity, Activity, Activity, double) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a loop relationship.
Loop(Activity, Activity, Activity, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a loop relationship.
Loop(WorkflowActivity, List<WorkflowActivity>, double) - Static method in class jline.lang.workflow.Workflow
LOOP - Enum constant in enum jline.io.tikz.SequenceDiagramTraverser.Fragment.FragmentType
loops - Variable in class jline.api.wf.Wf_analyzer.DetectedPatterns
Loss - Variable in class jline.api.lossn.Lossn_rec.LossnRecResult: Blocking probability per class.
lossAggregate - Variable in class jline.api.qsys.QsysMapG1kPerflowResult: sum_n lossRatio(n)*lambda(n)/lambdaAggregate.
lossAggregate - Variable in class jline.api.qsys.QsysMmapG1kResult: Aggregate loss ratio.
lossAvgT() - Method in class jline.solvers.NetworkSolver
lossCI - Variable in class jline.io.Ret.lossnMCI
lossDigits - Variable in class jline.api.pfqn.ld.Pfqn_explicit_ld.Result: Decimal digits lost to cancellation.
lossDigits - Variable in class jline.api.pfqn.nc.Pfqn_explicit.Result: Decimal digits lost to cancellation.
lossDigits - Variable in class jline.api.pfqn.nc.Pfqn_explicit.SignedLse: Decimal digits lost to cancellation.
lossn_erlangfp(Matrix, Matrix, Matrix) - Static method in class jline.api.lossn.Lossn_erlangfp: Erlang fixed point approximation for loss networks.
Lossn_erlangfp - Class in jline.api.lossn
lossn_manjunath(Matrix, Matrix, Matrix) - Static method in class jline.api.lossn.Lossn_manjunath: Exact normalization constant, carried load and blocking of a loss network.
lossn_manjunath(Matrix, Matrix, Matrix, long) - Static method in class jline.api.lossn.Lossn_manjunath: Exact normalization constant, carried load and blocking of a loss network.
Lossn_manjunath - Class in jline.api.lossn: Exact normalization constant, carried load and blocking of a loss network by the transform technique of Manjunath and Sikdar.
lossn_mci(Matrix, Matrix, Matrix, int, Matrix, long, double) - Static method in class jline.api.lossn.Lossn_mci: Monte Carlo importance-sampling summation for loss networks.
Lossn_mci - Class in jline.api.lossn: Monte Carlo importance-sampling summation for loss networks, after Ross and Wang, "Monte Carlo Summation Applied to Product-Form Loss Networks", Probability in the Engineering and Informational Sciences, 6 (1992), 323-348.
lossn_rec(Matrix, Matrix, Matrix) - Static method in class jline.api.lossn.Lossn_rec: Exact loss-network analysis by MDD-rec.
Lossn_rec - Class in jline.api.lossn: Exact analysis of a loss network by MDD-rec: the normalising constant is the sum of a product form over the admissible set {n >= 0 : A n <= C}, which is what a decision diagram holding that set computes in one memoised walk.
Lossn_rec.LossnRecResult - Class in jline.api.lossn: Carried load, blocking, log normalising constant and walk count.
lossnErlangFP(Matrix, Matrix, Matrix, int) - Constructor for class jline.io.Ret.lossnErlangFP
lossnManjunath(Matrix, Matrix, double, int, long) - Constructor for class jline.io.Ret.lossnManjunath
lossnMCI(Matrix, Matrix, double, Matrix, Matrix, int) - Constructor for class jline.io.Ret.lossnMCI
LossnRecResult() - Constructor for class jline.api.lossn.Lossn_rec.LossnRecResult
lossProb - Variable in class jline.api.dqsys.Bernoulli1Result: Fraction of offered arrivals lost, 0 on an unbounded buffer.
lossProb - Variable in class jline.io.Ret.lossnErlangFP
lossProb - Variable in class jline.io.Ret.lossnManjunath
lossProb - Variable in class jline.io.Ret.lossnMCI
lossProb - Variable in class jline.solvers.mam.handlers.Mam_truncate_renorm.Result: blocking probability, the renormalized boundary mass p(N=capK).
lossProbability - Variable in class jline.api.qsys.Qsys_mmck.Result: Blocking probability, pK.
lossProbability - Variable in class jline.api.qsys.QsysMapG1kResult: 1 - throughput/lambda.
lossRatio - Variable in class jline.api.qsys.QsysMapG1kPerflowResult: 1 x N, loss ratio of flow n, in [0,1].
lossRatio - Variable in class jline.api.qsys.QsysMmapG1kResult: 1 x R, loss ratio of class k, in [0,1].
lower - Variable in class jline.api.sim.QuantileCIResult: Lower confidence limit.
lowerBoundViolation(double, double) - Static method in class jline.opt.objectives.Constraint: Violation for a lower-bound constraint (actual >= bound).
lpjoint - Variable in class jline.api.pfqn.Pfqn_jointmarg.Ret_jointmarg: Its logarithm, which survives populations pjoint underflows at.
lPr - Variable in class jline.solvers.nc.handlers.Solver_nc_jointmarg.Ret_jointmarg: Its logarithm.
lPr - Variable in class jline.solvers.nc.SolverNC.SolverNCMargReturn
LPS - Enum constant in enum jline.lang.constant.SchedStrategy: Least Progress Scheduling - hybrid PS/FCFS with max concurrent jobs limit
lqn - Variable in class jline.solvers.ln.SolverLN
lqn_basic() - Static method in class jline.examples.java.basic.LayeredExamples
lqn_basic() - Static method in class jline.examples.java.basic.LayeredModel: Basic layered network with multiple processors and synchronous calls.
Lqn_boxbounds - Class in jline.api.lqn: Majumdar-Woodside robust box bounds on throughput for a layered queueing network (LQN), computed on the processor-contention model.
Lqn_boxbounds.Result - Class in jline.api.lqn: Result holder.
lqn_bpmn() - Static method in class jline.examples.java.basic.LayeredExamples: BPMN-style layered network (lqn_bpmn.ipynb).
lqn_bpmn() - Static method in class jline.examples.java.basic.LayeredModel: Complex layered network with fork-join patterns and multiple precedence types.
lqn_bpmn_trace() - Static method in class jline.examples.java.basic.LayeredExamples: Iteration trace of the layered fixed point (lqn_bpmn_trace.m).
lqn_bpmn_trace() - Static method in class jline.examples.java.basic.LayeredModel: BPMN-derived layered network with OR and AND branching (lqn_bpmn_trace.m).
lqn_flatph() - Static method in class jline.examples.java.basic.LayeredExamples: Method 'flat.ph': the squashed layering with the composed encoding (lqn_flatph.m).
lqn_flatph() - Static method in class jline.examples.java.basic.LayeredModel: Three-deep call chain for the squashed phase-type encoding (lqn_flatph.m).
lqn_fork_open_arrival() - Static method in class jline.examples.java.basic.LayeredModel: AND fork/join on a task that also receives an entry-level open arrival.
lqn_init() - Static method in class jline.examples.java.basic.LayeredExamples: Initializing a layered run from the LQNS solution (lqn_init.m).
lqn_jsq() - Static method in class jline.examples.java.basic.LayeredExamples: Join-the-shortest-queue call dispatch over a set of target tasks (lqn_jsq.m).
lqn_jsq() - Static method in class jline.examples.java.basic.LayeredModel: Join-the-shortest-queue call dispatch over a set of target tasks (lqn_jsq.m).
lqn_mol(LayeredNetworkStruct) - Static method in class jline.api.lqn.Lqn_mol: Method of Layers with the reference's default tuning.
lqn_mol(LayeredNetworkStruct, Lqn_mol.Options) - Static method in class jline.api.lqn.Lqn_mol: Method of Layers on an entry-only, closed, synchronous LQN.
Lqn_mol - Class in jline.api.lqn: Method of Layers on the SRVN decomposition of a layered queueing network whose entries carry no activity graph.
Lqn_mol.Options - Class in jline.api.lqn: Tuning of the outer fixed point.
Lqn_mol.Result - Class in jline.api.lqn: The four (nidx) vectors in the column convention SolverLN and LQNS report, so they line up with LN(model).getAvgTable() cell for cell.
lqn_multi_solvers() - Static method in class jline.examples.java.basic.LayeredExamples: Multi-solver layered network (lqn_multi_solvers.ipynb).
lqn_multi_solvers() - Static method in class jline.examples.java.basic.LayeredModel: Layered network with infinite servers and APH service.
lqn_ofbiz() - Static method in class jline.examples.java.basic.LayeredExamples: OFBiz-style layered network (lqn_ofbiz.ipynb).
lqn_ofbiz() - Static method in class jline.examples.java.basic.LayeredModel
lqn_open_arrival() - Static method in class jline.examples.java.basic.LayeredModel: Entry-level open arrival: an exogenous Poisson stream that is not a call.
lqn_paramident() - Static method in class jline.examples.java.basic.LayeredExamples: Identify hidden LQN parameters from measured performance (lqn_paramident.m).
lqn_paramident() - Static method in class jline.examples.java.basic.LayeredModel: Base LQN whose think time and AS3 host demand are the hidden parameters of the EKF identification (lqn_paramident.m).
lqn_ref_routes(LayeredNetworkStruct, Collection<Integer>) - Static method in class jline.api.lqn.LqnRefRoutes
lqn_ref_routes(LayeredNetworkStruct, Collection<Integer>, double, Collection<Integer>) - Static method in class jline.api.lqn.LqnRefRoutes
lqn_rrobin() - Static method in class jline.examples.java.basic.LayeredExamples: Round-robin call dispatch over a set of target tasks (lqn_rrobin.m).
lqn_rrobin() - Static method in class jline.examples.java.basic.LayeredModel: Round-robin call dispatch over a set of target tasks (lqn_rrobin.m).
lqn_serial() - Static method in class jline.examples.java.basic.LayeredExamples: Serial layered network (lqn_serial.ipynb).
lqn_serial() - Static method in class jline.examples.java.basic.LayeredModel: Basic layered network with two processors and synchronous calls.
lqn_server_pools() - Static method in class jline.examples.java.basic.LayeredExamples: A processor whose servers are not interchangeable (lqn_server_pools).
lqn_server_pools(boolean) - Static method in class jline.examples.java.basic.LayeredModel: A processor whose servers are not interchangeable.
lqn_setup() - Static method in class jline.examples.java.basic.LayeredExamples: Layered network with a setup / delay-off task (lqn_setup.ipynb).
lqn_setup() - Static method in class jline.examples.java.basic.LayeredModel
lqn_sockshop() - Static method in class jline.examples.java.basic.LayeredExamples: Sock Shop microservice layered network (lqn_sockshop).
lqn_sockshop() - Static method in class jline.examples.java.basic.LayeredModel: Sock Shop microservice layered network model.
lqn_srvnph() - Static method in class jline.examples.java.basic.LayeredExamples: Method 'srvn.ph': an entry's activity graph as a phase-type law (lqn_srvnph.m).
lqn_srvnph() - Static method in class jline.examples.java.basic.LayeredModel: Activity graphs the series-parallel reduction composes exactly (lqn_srvnph.m).
lqn_transient() - Static method in class jline.examples.java.basic.LayeredExamples: Transient (time-dependent) analysis of a layered network (lqn_transient.m).
lqn_transient() - Static method in class jline.examples.java.basic.LayeredModel: Three-layer chain for the transient analysis (lqn_transient.m).
lqn_twotasks() - Static method in class jline.examples.java.basic.LayeredExamples: Two-task layered network (lqn_twotasks.ipynb).
lqn_twotasks() - Static method in class jline.examples.java.basic.LayeredModel: Layered network with multiple entries and synchronous calls.
lqn_workflows() - Static method in class jline.examples.java.basic.LayeredExamples: Workflow layered network (lqn_workflows.ipynb).
lqn_workflows() - Static method in class jline.examples.java.basic.LayeredModel: Layered network demonstrating loop and fork-join precedence patterns.
LQN2JAVA - Class in jline.io: Generates a Java (JLINE) program that rebuilds a LayeredNetwork and solves it with SolverLN.
LQN2LINE(String) - Method in class jline.io.M2M: Converts an LQN/LQNX (Layered Queueing Network) model file to a LayeredNetwork object.
LQN2LINE(String, String) - Method in class jline.io.M2M: Converts an LQN/LQNX (Layered Queueing Network) model file to a LayeredNetwork object with a custom name.
LQN2MATLAB - Class in jline.io: Writes the MATLAB script that rebuilds a LayeredNetwork, the Java port of MATLAB's LQN2MATLAB.
LQN2QN - Class in jline.io: Converts a LayeredNetwork (LQN) to a Network (QN) using REPLY signals.
LQN2UML - Class in jline.io: Converts a LayeredNetwork (LQN) model to a UML sequence diagram.
LQN2UML() - Constructor for class jline.io.LQN2UML
LQN2UML.Format - Enum in jline.io: Output format for the sequence diagram.
LQN2UML.Options - Class in jline.io: Options for sequence diagram export.
LqnAdapter - Class in jline.opt: LayeredNetwork (LQN) support for line-opt.
LqnBalanceEquations - Class in jline.api.lqn: Conservation laws of a layered queueing network, enumerated from its structure.
LqnBalanceEquations.Relation - Class in jline.api.lqn: One conservation law, as an aggregation over a node's structural neighbours.
LqnBalanceEquations.Result - Class in jline.api.lqn: The relation set of one layered model.
LqnBalanceEquations.Solution - Class in jline.api.lqn: The iterates of a solved layered model.
LqnDecisionVariable - Class in jline.opt.variables: Abstract base for LayeredNetwork (LQN) decision variables.
LqnDecisionVariable(String) - Constructor for class jline.opt.variables.LqnDecisionVariable
lqnGradient - Variable in class jline.opt.solver.LineOptSolverOptions: LayeredNetwork (LQN) gradient source, used only when the model is a LayeredNetwork and the gradient path is taken: 'fd' (whole-model finite difference, robust default), 'partial_sens' (SolverLN per-layer partial derivatives, cheap/biased), or 'partial_plus_fd' (partial with a periodic full-FD correction every LineOptSolverOptions.fdRefresh gradient evaluations).
lqnOvertakeMarkov(double[][], double, double, double[]) - Static method in class jline.solvers.ln.SolverLN: Overtaking probability of the phased-server jump chain, Franks (1999), Ch.
LqnPh - Class in jline.api.lqn: Phase-type composition of an LQN activity graph, the machinery behind SolverLN method 'srvn.ph'.
LqnPh.EntryWorkflow - Class in jline.api.lqn: Activity graph of one entry, as a workflow plus its execution counts.
LqnRefRoutes - Class in jline.api.lqn: Resolves, for the caller set of one layer, the synchronous call graph along which reference (REF) task customers descend to those callers, and the mean number of times each entry and each call is invoked per REF cycle.
LqnRefRoutes.Group - Class in jline.api.lqn: One reference task and the synchronous DAG below it.
LqnRefRoutes.Result - Class in jline.api.lqn: The groups found, plus the reason for a fallback.
LQNS - Class in jline.solvers.wrappers.lqns: LQNS is an alias for SolverLQNS (Layered Queueing Network Solver).
LQNS - Enum constant in enum jline.lang.constant.SolverType
LQNS(LayeredNetwork) - Constructor for class jline.solvers.wrappers.lqns.LQNS
LQNS(LayeredNetwork, SolverOptions) - Constructor for class jline.solvers.wrappers.lqns.LQNS
LQNS(Network) - Constructor for class jline.solvers.wrappers.lqns.LQNS
LQNS(Network, Object...) - Constructor for class jline.solvers.wrappers.lqns.LQNS
LQNS(Network, String) - Constructor for class jline.solvers.wrappers.lqns.LQNS
LQNS(Network, SolverOptions) - Constructor for class jline.solvers.wrappers.lqns.LQNS
LQNSOptions - Class in jline.solvers.wrappers.lqns
LQNSOptions() - Constructor for class jline.solvers.wrappers.lqns.LQNSOptions
LQNSSolverFactory() - Constructor for class jline.bench.lqn.BenchLQN_LQNS.LQNSSolverFactory
lroots - Static variable in class jline.lib.lti.laguerre
LRPT - Enum constant in enum jline.lang.constant.SchedStrategy: Longest Remaining Processing Time - priority to jobs with longest remaining time
LRU - Enum constant in enum jline.lang.constant.ReplacementStrategy
lrummapTime(double[], MatrixCell[], MatrixCell[], Matrix, int, int) - Static method in class jline.api.cache.Cache_t_lrum_map: Capacity residuals m_l - E[occupancy of list l] for times x.
lS - Variable in class jline.api.pfqn.nc.Pfqn_explicit.SignedLse: Logarithm of |S|.
lsn - Variable in class jline.solvers.ldes.LNLDESResult: LQN structure reference
lsnMaxMultiplicity(LayeredNetworkStruct) - Static method in class jline.api.lsn.LsnMaxMultiplicity: Computes the maximum multiplicity that can be sustained by each task.
LsnMaxMultiplicity - Class in jline.api.lsn
lsoda(int, double[], double, double, int, double[], double[], int, int, int, int, int, int, int, int, double, double, double, double) - Method in class odesolver.LSODA: the ODE solving method that offers more customization parameters
LSODA - Class in odesolver
LSODA(double, double, double, double, int, int) - Constructor for class odesolver.LSODA
LSODAExt - Class in jline.solvers.fluid: Extended LSODA solver that supports configurable maximum internal steps.
LSODAExt(double, double, double, double, int, int, int) - Constructor for class jline.solvers.fluid.LSODAExt: Create an LSODAExt solver with configurable max steps.
lsqnonneg(double[][], double[]) - Static method in class jline.inference.util.NnlsSolver: Solve NNLS with double array inputs: min ||Ax - b||^2 subject to x >= 0.
lsqnonneg(Matrix, Matrix) - Static method in class jline.inference.util.NnlsSolver: Solve the NNLS problem: min ||Ax - b||^2 subject to x >= 0.
lst - Variable in class jline.api.sym.SymEngine.Passage: The transform L(s), null if not requested
lst - Variable in class jline.lang.NetworkStruct: Per (station, class) Laplace-Stieltjes transform of the arrival law at the source and of the service law elsewhere.
lstAll - Variable in class jline.api.sym.SymEngine.Passage: Per start state transform, null if not requested
lstCond(Complex, double) - Method in class jline.api.qsys.QsysMg1PsResult: Conditional transform E[exp(-s V(x))].
lstCondVal - Variable in class jline.api.qsys.QsysMg1PsResult: Values of the conditional LST, indexed [x][s].
lstDen - Variable in class jline.api.sym.SymEngine.Passage: Denominator of SymEngine.Passage.lst, null if not requested
lstExcess(Complex, double) - Method in class jline.api.qsys.QsysMg1PsResult: Transform E[exp(-s (V(x)-x))] of the excess, bounded as s grows.
LstFunction - Interface in jline.api.aoi: Functional interface for Laplace-Stieltjes Transform evaluation.
lstNum - Variable in class jline.api.sym.SymEngine.Passage: Numerator of SymEngine.Passage.lst, null if not requested
lstUncond(Complex) - Method in class jline.api.qsys.QsysMg1PsResult: Unconditional transform E[exp(-s V)].
lstUncondVal - Variable in class jline.api.qsys.QsysMg1PsResult: Values of the unconditional LST.
lyap(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Solves the Sylvester equation A·X + X·B + C = 0, matching the three-argument MATLAB lyap(A,B,C) convention; the Lyapunov equation A·X + X·Aᵀ + Q = 0 corresponds to B = Aᵀ, C = Q.
lZ - Variable in class jline.io.Ret.cacheSpm

M

m - Variable in class jline.api.mc.PassageMomentsResult: The pi0-weighted moment vector, length nmax.
m - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
m - Variable in class jline.api.sim.QuantileCIResult: Final batch size.
m - Variable in class jline.api.sim.StsQuantileStats: Batch size.
m - Variable in class jline.io.Ret.pfqnSensLinearizer
m - Variable in class jline.io.Ret.pfqnSensMom
m - Variable in class jline.io.Ret.pfqnSensRespt
m - Variable in class jline.solvers.ctmc.SolverCTMC.FirstPassageMomentsResult: (1 x nmax) moments for a passage started uniformly in A.
m - Variable in class jline.solvers.NetworkMomentStationResult: M x 1, m(i) = E[Q_i], the mean total queue length at station i.
M - Variable in class jline.api.cache.CacheMissFpiResult
M - Variable in class jline.api.mapqn.LinearReductionParameters
M - Variable in class jline.api.mapqn.Mapqn_bnd_lr_pf.PFParameters
M - Variable in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
M - Variable in class jline.api.mapqn.Mapqn_bnd_qr_ld.QuadraticLDParameters
M - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
M - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem
M - Variable in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
M - Variable in class jline.api.mapqn.MVAVersionParameters
M - Variable in class jline.api.trace.Mtrace_summary.MtraceSummary
M - Variable in class jline.solvers.ba.analyzers.Solver_ba_snc_analyzer.Envelopes: Number of stations of the model.
M - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
M - Variable in class jline.solvers.fluid.petri.PetriTerms
M - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
m0 - Variable in class jline.api.sim.QuestOptions: Initial batch size for the warmup stage.
m0 - Variable in class jline.api.spn.Spn_sinvariants.SpnInvariants: The initial marking the load vector was taken against.
m0full - Variable in class jline.solvers.fluid.petri.PetriTerms
m1 - Variable in class jline.api.fj.FJ_maxima.FJXmaxCoxianResult
m1 - Variable in class jline.api.qsys.QsysMg1PsResult: Mean service requirement.
m1 - Variable in class jline.util.ode.Rodas.Options: Second-order form; 0 disables it, which is the usual case.
m2 - Variable in class jline.api.qsys.QsysMg1PsResult: Second moment of the service requirement, NaN when only an LST is given.
m2 - Variable in class jline.util.ode.Rodas.Options
M2 - Variable in class jline.io.Ret.pfqnSensLinearizer
M2 - Variable in class jline.io.Ret.pfqnSensMom
M2 - Variable in class jline.solvers.NetworkMomentStationResult: M x 1, E[Q_i^2].
m2Cond - Variable in class jline.api.qsys.QsysMg1PsResult: Conditional second moment of V(x).
M2M - Class in jline.io: Model-to-Model transformation class for converting between different queueing network model formats.
M2M() - Constructor for class jline.io.M2M: Creates a new instance of the M2M transformation class.
m2Uncond - Variable in class jline.api.qsys.QsysMg1PsResult: Unconditional second moment of the sojourn time.
M3 - Variable in class jline.io.Ret.pfqnSensLinearizer
M3 - Variable in class jline.io.Ret.pfqnSensMom
M3 - Variable in class jline.solvers.NetworkMomentStationResult: M x 1, E[Q_i^3].
M3A - Class in jline.lib.m3a: M3A (Markovian Arrival Process with 3-moment Approximation) tool for MMAP compression.
M3A() - Constructor for class jline.lib.m3a.M3A
M3A.CoxianParameters - Class in jline.lib.m3a: Coxian parameters.
M3A.ErlangParameters - Class in jline.lib.m3a: Erlang parameters.
M3A.HyperExpParameters - Class in jline.lib.m3a: Hyper-exponential parameters.
M3A.PhaseTypeParameters - Class in jline.lib.m3a: Phase-type parameters.
M3aCompress - Class in jline.lib.m3a
M3aCompressMethod - Enum in jline.lib.m3a: Compression method enumeration.
M3aCompressOptions - Class in jline.lib.m3a: Options for M3A compression.
M3aCompressOptions() - Constructor for class jline.lib.m3a.M3aCompressOptions
M3aCompressOptions(M3aCompressMethod, int, boolean) - Constructor for class jline.lib.m3a.M3aCompressOptions
M3aFit - Class in jline.lib.m3a
m3afit_auto(double[], int[], int) - Static method in class jline.lib.m3a.M3aFit
m3afit_auto(double[], int[], int, int) - Static method in class jline.lib.m3a.M3aFit: Automatic fitting with simple parameters.
m3afit_auto(MTrace, M3aFitOptions) - Static method in class jline.lib.m3a.M3aFit: Automatic fitting of trace into a Marked Markovian Arrival Process.
m3afit_compress(MatrixCell) - Static method in class jline.lib.m3a.M3aCompress
m3afit_compress(MatrixCell, M3aCompressOptions) - Static method in class jline.lib.m3a.M3aCompress: Compresses a Marked Markovian Arrival Process (MMAP) using M3A fitting.
m3afit_init(double[], int[]) - Static method in class jline.lib.m3a.M3aFit: Prepares multiclass trace for M3A fitting.
m3afit_init(Matrix, Matrix) - Static method in class jline.lib.m3a.M3aFit: Prepares multiclass trace for M3A fitting from Matrix inputs.
M3aFitOptions - Class in jline.lib.m3a: Options for M3A fitting algorithms.
M3aFitOptions(int) - Constructor for class jline.lib.m3a.M3aFitOptions
M3aFitOptions(int, int, Double, Double) - Constructor for class jline.lib.m3a.M3aFitOptions
M3aUtils - Class in jline.lib.m3a: Utility functions for M3A (Markovian Arrival Process with 3-moment Approximation) compression.
M3aUtils.ConstraintFunction - Interface in jline.lib.m3a: Functional interface for constraint functions used by COBYLA.
M3aUtils.ObjectiveFunction - Interface in jline.lib.m3a: Functional interface for objective functions used by COBYLA.
m3pp_interleave_fitc(double[], double[], double[], double[][], double[][], double, double) - Static method in class jline.api.mam.m3pp.M3pp_interleave_fitc: Fits k second-order M3PP[m_j] and interleaves them, without reordering.
m3pp_interleave_fitc(double[], double[], double[], double[][], double[][], double, double, int[], boolean) - Static method in class jline.api.mam.m3pp.M3pp_interleave_fitc: Fits k second-order M3PP[m_j] and interleaves them into an M3PP[m] of order k+1.
M3pp_interleave_fitc - Class in jline.api.mam.m3pp
m3pp_interleave_fitc_theoretical(MatrixCell) - Static method in class jline.api.mam.m3pp.M3pp_interleave_fitc_theoretical
m3pp_interleave_fitc_theoretical(MatrixCell, double, double) - Static method in class jline.api.mam.m3pp.M3pp_interleave_fitc_theoretical
m3pp_interleave_fitc_theoretical(MatrixCell, double, double, boolean[][]) - Static method in class jline.api.mam.m3pp.M3pp_interleave_fitc_theoretical
M3pp_interleave_fitc_theoretical - Class in jline.api.mam.m3pp
m3pp_interleave_fitc_trace(double[], int[]) - Static method in class jline.api.mam.m3pp.M3pp_interleave_fitc_trace
m3pp_interleave_fitc_trace(double[], int[], Double, Double) - Static method in class jline.api.mam.m3pp.M3pp_interleave_fitc_trace
m3pp_interleave_fitc_trace(double[], int[], Double, Double, boolean[][]) - Static method in class jline.api.mam.m3pp.M3pp_interleave_fitc_trace: Interleaves k M3PP to fit a multi-class trace with m classes.
M3pp_interleave_fitc_trace - Class in jline.api.mam.m3pp
m3pp_rand(int, int) - Static method in class jline.api.mam.m3pp.M3pp_rand
m3pp_rand(int, int, Long) - Static method in class jline.api.mam.m3pp.M3pp_rand: Generates a random M3PP with specified order and number of classes.
M3pp_rand - Class in jline.api.mam.m3pp
m3pp_rand_targeted(int, int) - Static method in class jline.api.mam.m3pp.M3pp_rand
m3pp_rand_targeted(int, int, double, double, Long) - Static method in class jline.api.mam.m3pp.M3pp_rand
m3pp_superpos_fitc(double[], double[], double[], double[], double, double) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc: Fits k second-order M3PP[m_j] and superposes them into a M3PP[m] of order k+1, with m = sum_j m_j.
M3pp_superpos_fitc - Class in jline.api.mam.m3pp
m3pp_superpos_fitc_theoretical(MatrixCell) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_theoretical: Superposes k M3PP to fit the characteristics of MMAP, using default time scales t = 1, tinf = 1000.
m3pp_superpos_fitc_theoretical(MatrixCell, double, double) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_theoretical: Superposes k M3PP to fit the characteristics of a MMAP[k].
M3pp_superpos_fitc_theoretical - Class in jline.api.mam.m3pp
m3pp_superpos_fitc_trace(double[], int[]) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_trace
m3pp_superpos_fitc_trace(double[], int[], Double, Double) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_trace: Superposes k MMPP[2] processes to fit a multi-class trace with m classes.
m3pp_superpos_fitc_trace(Matrix, Matrix) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_trace
m3pp_superpos_fitc_trace(Matrix, Matrix, Double, Double) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_trace: Matrix-argument overload (T and A as column matrices).
M3pp_superpos_fitc_trace - Class in jline.api.mam.m3pp
m3pp22_fitc_approx_cov(double, double, double, double, double, double, double, double[], double, double) - Static method in class jline.api.mam.m3pp.M3pp22_fitc_approx_cov: Fits a second-order Marked MMPP for two classes using covariance approximation.
M3pp22_fitc_approx_cov - Class in jline.api.mam.m3pp
m3pp22_fitc_approx_cov_multiclass(Matrix[], double[], double, double) - Static method in class jline.api.mam.m3pp.M3pp22_fitc_approx_cov_multiclass: Fits a M3PP(2,2) given the underlying MMPP(2).
M3pp22_fitc_approx_cov_multiclass - Class in jline.api.mam.m3pp
m3pp22_interleave_fitc(double[][], double[], double[], double[], double) - Static method in class jline.api.mam.m3pp.M3pp22_interleave_fitc: Fits L pairs of classes into a single MMAP.
M3pp22_interleave_fitc - Class in jline.api.mam.m3pp
m3pp2m_fitc(double, double, double, double, double, double, double, double[], double[], double) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc: Fits a second-order Marked MMPP using exact count statistics.
M3pp2m_fitc - Class in jline.api.mam.m3pp
m3pp2m_fitc_approx(double, double, double, double, double, double, double, double[], double[], double) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_approx
M3pp2m_fitc_approx - Class in jline.api.mam.m3pp
m3pp2m_fitc_approx_ag(double, double, double, double, double, double, double, double[], double[], double) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_approx_ag: Fits a second-order Marked MMPP using auto-gamma approach.
M3pp2m_fitc_approx_ag - Class in jline.api.mam.m3pp
m3pp2m_fitc_approx_ag_multiclass(Matrix[], double[], double[], double) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_approx_ag_multiclass
M3pp2m_fitc_approx_ag_multiclass - Class in jline.api.mam.m3pp
m3pp2m_fitc_theoretical(MatrixCell) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_theoretical
m3pp2m_fitc_theoretical(MatrixCell, String) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_theoretical
m3pp2m_fitc_theoretical(MatrixCell, String, double) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_theoretical
m3pp2m_fitc_theoretical(MatrixCell, String, double, double) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_theoretical: Fits the theoretical characteristics of a MMAP(n,m) with a M3PP(2,m).
M3pp2m_fitc_theoretical - Class in jline.api.mam.m3pp
m3pp2m_fitc_trace(double[], int[]) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_trace
m3pp2m_fitc_trace(double[], int[], String) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_trace
m3pp2m_fitc_trace(double[], int[], String, Double, Double) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_trace: Fits a M3PP(2,m) from trace data using counting process characteristics.
m3pp2m_fitc_trace(Matrix, Matrix) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_trace
m3pp2m_fitc_trace(Matrix, Matrix, String) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_trace
m3pp2m_fitc_trace(Matrix, Matrix, String, Double, Double) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_trace: Fits a M3PP(2,m) from trace data using Matrix inputs.
M3pp2m_fitc_trace - Class in jline.api.mam.m3pp
m3pp2m_interleave(List<MatrixCell>) - Static method in class jline.api.mam.m3pp.M3pp2m_interleave: Computes the interleaved MMAP obtained by multiple M3PP(2,m).
M3pp2m_interleave - Class in jline.api.mam.m3pp
mad - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
main(String[]) - Static method in class jline.bench.AllBench
main(String[]) - Static method in class jline.bench.cqn.BenchCQN_FCFS
main(String[]) - Static method in class jline.bench.cqn.BenchCQN_PS
main(String[]) - Static method in class jline.bench.cqn.BenchCQN_RM: Main method with command line options
main(String[]) - Static method in class jline.bench.fj.BenchFJ_Closed
main(String[]) - Static method in class jline.bench.fj.BenchFJ_FCFS
main(String[]) - Static method in class jline.bench.fj.BenchFJ_Mixed
main(String[]) - Static method in class jline.bench.fj.BenchFJ_Nested
main(String[]) - Static method in class jline.bench.fj.BenchFJ_Open
main(String[]) - Static method in class jline.bench.fj.BenchFJ_PS
main(String[]) - Static method in class jline.bench.lqn.BenchLQN_Custom: Main method for testing
main(String[]) - Static method in class jline.bench.lqn.BenchLQN_Default: Main method for testing
main(String[]) - Static method in class jline.bench.lqn.BenchLQN_Fluid: Main method for testing
main(String[]) - Static method in class jline.bench.lqn.BenchLQN_LQNS: Main method for testing
main(String[]) - Static method in class jline.bench.lqn.BenchLQN_MVA: Main method for testing
main(String[]) - Static method in class jline.bench.lqn.BenchLQN_NC: Main method for testing
main(String[]) - Static method in class jline.bench.lqn.BenchLQN_SRVN: Main method for testing
main(String[]) - Static method in class jline.bench.lqn.SimpleLQNBenchmark: Main method for testing
main(String[]) - Static method in class jline.bench.mqn.BenchMQN_FCFS
main(String[]) - Static method in class jline.bench.mqn.BenchMQN_PS
main(String[]) - Static method in class jline.bench.oqn.BenchOQN_FCFS
main(String[]) - Static method in class jline.bench.oqn.BenchOQN_PS
main(String[]) - Static method in class jline.bench.QuickBenchTest
main(String[]) - Static method in class jline.cli.AgWorker
main(String[]) - Static method in class jline.cli.LdesCLI: Main entry point for the LDES standalone JAR.
main(String[]) - Static method in class jline.cli.LineCLI: Main entry point for the LINE CLI
main(String[]) - Static method in class jline.cli.LineInstall
main(String[]) - Static method in class jline.cli.LineWebSocketClient: The main method, which serves as the entry point for the program.
main(String[]) - Static method in class jline.cli.LineWebSocketServer: The main method, which serves as the entry point for the server application.
main(String[]) - Static method in class jline.examples.basic.MultivariateNormalExample
main(String[]) - Static method in class jline.examples.ExampleRunner
main(String[]) - Static method in class jline.examples.HeteroServerExample
main(String[]) - Static method in class jline.examples.java.advanced.AgentModelExamples: Run all agent model examples.
main(String[]) - Static method in class jline.examples.java.advanced.BusyPeriodExample
main(String[]) - Static method in class jline.examples.java.advanced.CDFRespTExamples: Main method to run all CDF response time examples.
main(String[]) - Static method in class jline.examples.java.advanced.CDFRespTModel: Main method for testing and demonstrating response time CDF examples.
main(String[]) - Static method in class jline.examples.java.advanced.CyclicPollingExamples: Main method to run all cyclic polling examples.
main(String[]) - Static method in class jline.examples.java.advanced.CyclicPollingModel: Main method for testing and demonstrating cyclic polling examples.
main(String[]) - Static method in class jline.examples.java.advanced.EnvBreakdownExample: Main method to run all examples.
main(String[]) - Static method in class jline.examples.java.advanced.FCRegionExamples
main(String[]) - Static method in class jline.examples.java.advanced.InitStateExamples: Main method to run all initial state examples.
main(String[]) - Static method in class jline.examples.java.advanced.LargeScaleExample
main(String[]) - Static method in class jline.examples.java.advanced.LayeredCQExamples: Main method to run all layered CQ examples.
main(String[]) - Static method in class jline.examples.java.advanced.LDESWarmStartExample
main(String[]) - Static method in class jline.examples.java.advanced.LoadDependentExamples: Main method to run all load-dependent examples.
main(String[]) - Static method in class jline.examples.java.advanced.LoadDependentModel: Main method for testing and demonstrating load-dependent examples.
main(String[]) - Static method in class jline.examples.java.advanced.NetworkCalculusExample
main(String[]) - Static method in class jline.examples.java.advanced.PassageTimeExample
main(String[]) - Static method in class jline.examples.java.advanced.PassAndSwapClosedTandemExample
main(String[]) - Static method in class jline.examples.java.advanced.PassAndSwapCyclicExample
main(String[]) - Static method in class jline.examples.java.advanced.PassAndSwapExample
main(String[]) - Static method in class jline.examples.java.advanced.RandomEnvExamples: Main method to run all random environment examples.
main(String[]) - Static method in class jline.examples.java.advanced.RandomEnvironmentModel: Main method for testing and demonstrating random environment examples.
main(String[]) - Static method in class jline.examples.java.advanced.SdrMultiBranchExample
main(String[]) - Static method in class jline.examples.java.advanced.SolverCustom: Builds a two-station closed model and runs the template over it.
main(String[]) - Static method in class jline.examples.java.advanced.StateDepRoutingExample
main(String[]) - Static method in class jline.examples.java.advanced.StateDepRoutingExamples: Main method to run all state-dependent routing examples.
main(String[]) - Static method in class jline.examples.java.advanced.StateDepRoutingModel: Main method for testing and demonstrating state-dependent routing examples.
main(String[]) - Static method in class jline.examples.java.advanced.StateProbabilitiesExamples: Main method to run all state probability examples.
main(String[]) - Static method in class jline.examples.java.advanced.StateProbabilitiesModel: Main method for testing and demonstrating state probability examples.
main(String[]) - Static method in class jline.examples.java.advanced.StateProbSysMargExample
main(String[]) - Static method in class jline.examples.java.advanced.SwitchoverTimesExamples: Main method to run all switchover time examples.
main(String[]) - Static method in class jline.examples.java.advanced.SwitchoverTimesModel: Main method for testing and demonstrating switchover times examples.
main(String[]) - Static method in class jline.examples.java.AdvancedExamples
main(String[]) - Static method in class jline.examples.java.AllExamples
main(String[]) - Static method in class jline.examples.java.basic.CacheExamples
main(String[]) - Static method in class jline.examples.java.basic.CacheModel: Main method for testing and demonstrating cache model examples.
main(String[]) - Static method in class jline.examples.java.basic.CacheRetrievalSystemExamples
main(String[]) - Static method in class jline.examples.java.basic.ClassSwitchExamples
main(String[]) - Static method in class jline.examples.java.basic.ClassSwitchingModel: Main method for testing and demonstrating class switching examples.
main(String[]) - Static method in class jline.examples.java.basic.ClosedExamples: Main method demonstrating all closed queueing network examples.
main(String[]) - Static method in class jline.examples.java.basic.ClosedModel: Main method for testing and demonstrating closed model examples.
main(String[]) - Static method in class jline.examples.java.basic.ClusterExamples
main(String[]) - Static method in class jline.examples.java.basic.DelayedHitsExamples
main(String[]) - Static method in class jline.examples.java.basic.ForkJoinExamples: Main method demonstrating all fork-join examples.
main(String[]) - Static method in class jline.examples.java.basic.ForkJoinModel: Main method for testing and demonstrating fork-join model examples.
main(String[]) - Static method in class jline.examples.java.basic.LayeredExamples: Main method demonstrating selected layered network examples.
main(String[]) - Static method in class jline.examples.java.basic.LayeredModel: Main method for testing and demonstrating layered model examples.
main(String[]) - Static method in class jline.examples.java.basic.LayeredVisualizationExample: Main method demonstrating the plot() method on LayeredNetwork.
main(String[]) - Static method in class jline.examples.java.basic.MixedExamples: Main method demonstrating all mixed queueing network examples.
main(String[]) - Static method in class jline.examples.java.basic.MixedModel: Main method for testing and demonstrating mixed model examples.
main(String[]) - Static method in class jline.examples.java.basic.NetworkVisualizationExample: Main method demonstrating the plot() method on Network models.
main(String[]) - Static method in class jline.examples.java.basic.OpenBMMAPtModel
main(String[]) - Static method in class jline.examples.java.basic.OpenExamples: Main method demonstrating all open queueing network examples.
main(String[]) - Static method in class jline.examples.java.basic.OpenMAPtModel
main(String[]) - Static method in class jline.examples.java.basic.OpenMAPtServiceModel: Solves the MAP_t service model with the LDES simulation engine and prints the average performance table, then the constant-schedule degeneracy beside its MAP reference.
main(String[]) - Static method in class jline.examples.java.basic.OpenMMAPtModel
main(String[]) - Static method in class jline.examples.java.basic.OpenModel: Main method for testing and demonstrating open model examples.
main(String[]) - Static method in class jline.examples.java.basic.OpenNHPPModel: Solves the NHPP model with the LDES simulation engine and prints the average performance table.
main(String[]) - Static method in class jline.examples.java.basic.PrioExamples: Main method demonstrating all priority queueing examples.
main(String[]) - Static method in class jline.examples.java.basic.PrioModel: Main method for testing and demonstrating priority examples.
main(String[]) - Static method in class jline.examples.java.basic.StochPetriNetExamples: Main method demonstrating selected Petri net examples.
main(String[]) - Static method in class jline.examples.java.basic.StochPetriNetModel: Main method for testing and demonstrating stochastic Petri net examples.
main(String[]) - Static method in class jline.examples.java.BasicExamples
main(String[]) - Static method in class jline.examples.java.discrete.DiscreteExamples
main(String[]) - Static method in class jline.examples.java.GettingStarted: Main method for testing and demonstrating getting started examples.
main(String[]) - Static method in class jline.examples.java.inference.InferenceExamples
main(String[]) - Static method in class jline.examples.java.models.Gallery: Main method for testing and demonstrating gallery examples.
main(String[]) - Static method in class jline.examples.java.solvers.SolverExamples
main(String[]) - Static method in class jline.examples.NetworkGeneratorExample
main(String[]) - Static method in class jline.examples.opt.LineOptExamples
main(String[]) - Static method in class jline.examples.parity.LineExamples
main(String[]) - Static method in class jline.io.REPL: Main method to start REPL
main(String[]) - Static method in class jline.lang.processes.DiscreteSampler
main(String[]) - Static method in class jline.lang.processes.Geometric
main(String[]) - Static method in class jline.lang.processes.Poisson
main(String[]) - Static method in class jline.lang.processes.Zipf
main(String[]) - Static method in class jline.lib.lti.customromberg
main(String[]) - Static method in class jline.lib.lti.euler
main(String[]) - Static method in class jline.lib.lti.gaverstehfest
main(String[]) - Static method in class jline.lib.perm.PermExample
main(String[]) - Static method in class jline.unified.UnifiedTestRunner
mainFJ(FJArrival, FJService, double[], int) - Static method in class jline.lib.fjcodes.MainFJ: Convenience overload for single K value
mainFJ(FJArrival, FJService, double[], int[]) - Static method in class jline.lib.fjcodes.MainFJ
mainFJ(FJArrival, FJService, double[], int[], int[]) - Static method in class jline.lib.fjcodes.MainFJ
mainFJ(FJArrival, FJService, double[], int[], int[], String) - Static method in class jline.lib.fjcodes.MainFJ: Compute response time percentiles for K-node Fork-Join queue.
mainFJ(FJArrival, FJService, double[], int, int) - Static method in class jline.lib.fjcodes.MainFJ
mainFJ(FJArrival, FJService, double[], int, int, String) - Static method in class jline.lib.fjcodes.MainFJ
MainFJ - Class in jline.lib.fjcodes
MainFJ.FJPercentileResult - Class in jline.lib.fjcodes: Result for a specific K value
make(double) - Method in interface jline.opt.pareto.ParetoSweep.ConstraintFactory
makeErgodic() - Method in class jline.lang.Network: A routing matrix that makes the network ergodic.
makeErgodic(String) - Method in class jline.lang.Network: As Network.makeErgodic(), routing absorbing stations to TARGETNAME.
makeErgodic(Network, String) - Static method in class jline.lang.RoutingErgodicity: A routing matrix that makes the network ergodic, by redirecting every absorbing station to TARGETNAME.
makeIntegerVector(int, int) - Method in class jline.gen.LayeredNetworkGenerator: Makes a vector of positive integers with given length and sum
makeLqnSolver(LayeredNetwork) - Static method in class jline.opt.LqnAdapter: Construct a quiet SolverLN for a per-evaluation LQN model copy.
mall - Variable in class jline.api.mc.PassageMomentsResult: (nstates x nmax): row i holds the moments for a passage STARTED IN STATE i, zero on target states and infinite where the target cannot be reached.
mall - Variable in class jline.solvers.ctmc.SolverCTMC.FirstPassageMomentsResult: (nstates x nmax), one row per starting state; 0 on B, Inf where B is unreachable.
MAM - Class in jline.solvers.mam: MAM is an alias for SolverMAM (Matrix Analytic Methods solver).
MAM - Enum constant in enum jline.lang.constant.SolverType
MAM(Network) - Constructor for class jline.solvers.mam.MAM
MAM(Network, Object...) - Constructor for class jline.solvers.mam.MAM
MAM(Network, String) - Constructor for class jline.solvers.mam.MAM
MAM(Network, SolverOptions) - Constructor for class jline.solvers.mam.MAM
mam_bgchain_ctmc(int[], double[][], List<Matrix>, SchedStrategy[], double[], double[][], boolean[][], SolverOptions) - Static method in class jline.solvers.mam.handlers.Mam_bgchain_ctmc: Builds and solves the background chain.
Mam_bgchain_ctmc - Class in jline.solvers.mam.handlers: Background modulating chain of a mixed network: the continuous-time Markov chain of the closed-class population vector, with the open classes present only through the server capacity they leave free.
Mam_bgchain_ctmc.Result - Class in jline.solvers.mam.handlers: Solved background chain.
mam_bgchain_env(Mam_bgchain_ctmc.Result, int) - Static method in class jline.solvers.mam.handlers.Mam_bgchain_env
Mam_bgchain_env - Class in jline.solvers.mam.handlers: Lumps the background modulating chain onto the number of closed jobs held by one station, giving the Markovian environment that the open classes at that station see.
Mam_bgchain_env.Env - Class in jline.solvers.mam.handlers: Lumped environment of one station.
mam_bgchain_groups(double[][], int) - Static method in class jline.solvers.mam.handlers.Mam_bgchain_groups
Mam_bgchain_groups - Class in jline.solvers.mam.handlers: Groups closed chains by similarity of their per-station SERVICE DEMAND, for the aggregation Solver_mam_bgchain applies to the chains it is not carrying exactly.
mam_bgchain_station(Matrix, Matrix, Matrix, Matrix, Matrix, int[], double, double[], int, SolverOptions) - Static method in class jline.solvers.mam.handlers.Mam_bgchain_station
Mam_bgchain_station - Class in jline.solvers.mam.handlers: Open classes of one station, solved as a level-dependent QBD MODULATED by the background chain: level = number of open jobs held by the station, phase = (arrival MAP phase, environment state, service phase).
Mam_bgchain_station.StationResult - Class in jline.solvers.mam.handlers: Solved open station.
mam_detect_mmck(NetworkStruct, int, int, MatrixCell) - Static method in class jline.solvers.mam.handlers.Mam_detect_mmck: Returns isMmck=true (and the shared service rate) only when the aggregated arrival MMAP is single-phase (Poisson superposition), every active class has Exp service at the station, and all active classes share the same rate.
Mam_detect_mmck - Class in jline.solvers.mam.handlers: Decides if a station matches the M/M/c/K assumptions.
Mam_detect_mmck.Result - Class in jline.solvers.mam.handlers: Outcome of the M/M/c/K detection.
mam_is_renewal_map(Matrix, Matrix) - Static method in class jline.api.mam.Mam_is_renewal_map
Mam_is_renewal_map - Class in jline.api.mam: True if a process (D0, D1) is a renewal process.
mam_svc_mixture(MatrixCell, Map<Integer, Matrix>, Map<Integer, Matrix>) - Static method in class jline.solvers.mam.handlers.Mam_svc_mixture
Mam_svc_mixture - Class in jline.solvers.mam.handlers: Arrival-weighted phase-type mixture of the per-class service laws at a station, as the service descriptor accepted by Qsys_mapg1k and Qsys_mmapg1k.
Mam_svc_mixture.Result - Class in jline.solvers.mam.handlers: The mixture, kept as its two blocks plus the aggregated arrival process.
mam_transient_mapmap1() - Static method in class jline.examples.java.basic.OpenExamples: Transient MAP/MAP/1 (mam_transient_mapmap1.m / .py / .cpp).
mam_transient_mapmap1() - Static method in class jline.examples.java.basic.OpenModel: MAP/MAP/1 with correlated arrivals and correlated service, rescaled to a stable utilization rho = 0.6 (mam_transient_mapmap1.m / .py / .cpp).
mam_truncate_renorm(MatrixCell, Map<Integer, Matrix>, Map<Integer, Matrix>, int) - Static method in class jline.solvers.mam.handlers.Mam_truncate_renorm
Mam_truncate_renorm - Class in jline.solvers.mam.handlers: Finite-buffer marginal for MMAP[K]/PH[K]/1/FCFS.
Mam_truncate_renorm.Result - Class in jline.solvers.mam.handlers: Outcome of the finite-buffer truncation.
mama1() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MAMA1 - 2-state MAP model Source: mama1.m Category: MAMA Series
mama2() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MAMA2 - 2-state MAP model (variant of MAMA1) Source: mama2.m Category: MAMA Series
mama3() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MAMA3 - 2-state MAP model Source: mama3.m Category: MAMA Series
mama4() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MAMA4 - 2-state MAP model Source: mama4.m Category: MAMA Series
mama5() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MAMA5 - 2-state MAP model Source: mama5.m Category: MAMA Series
mamap22_fit_bs_multiclass(MatrixCell, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Mamap22_fit_multiclass
mamap22_fit_bs_multiclass(MatrixCell, Matrix, Matrix, Matrix, Object, double[]) - Static method in class jline.api.mam.Mamap22_fit_multiclass
mamap22_fit_fs_multiclass(MatrixCell, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Mamap22_fit_multiclass
mamap22_fit_fs_multiclass(MatrixCell, Matrix, Matrix, Matrix, Object, double[]) - Static method in class jline.api.mam.Mamap22_fit_multiclass
mamap22_fit_gamma_bs(double, double, double, double, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Mamap22_fit_multiclass
mamap22_fit_gamma_bs_mmap(MatrixCell) - Static method in class jline.api.mam.Mamap22_fit_multiclass
mamap22_fit_gamma_bs_trace(Matrix, Matrix) - Static method in class jline.api.mam.Mamap22_fit_multiclass
mamap22_fit_gamma_fs(double, double, double, double, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Mamap22_fit_multiclass
mamap22_fit_gamma_fs_mmap(MatrixCell) - Static method in class jline.api.mam.Mamap22_fit_multiclass
mamap22_fit_gamma_fs_trace(double[], int[]) - Static method in class jline.api.mam.Mamap22_fit_gamma_fs_trace: Fits a MAMAP(2,2) using forward-start method from trace data.
mamap22_fit_gamma_fs_trace(Matrix, Matrix) - Static method in class jline.api.mam.Mamap22_fit_multiclass
Mamap22_fit_gamma_fs_trace - Class in jline.api.mam
Mamap22_fit_multiclass - Class in jline.api.mam
Mamap22FitMulticlass - Class in jline.api.mam: MAMAP 22 fit multiclass algorithms (documentation marker).
Mamap22FitMulticlass() - Constructor for class jline.api.mam.Mamap22FitMulticlass
mamap2m_can1_coefficients(double, double, double, double) - Static method in class jline.api.mam.Mamap2m_coefficients: Returns the coefficients used in the direct and inverse formulas for fitting a MAMAP(2,m) in first canonical form (gamma > 0).
mamap2m_can2_coefficients(double, double, double, double) - Static method in class jline.api.mam.Mamap2m_coefficients: Returns the coefficients used in the direct and inverse formulas for fitting a MAMAP(2,m) in second canonical form (gamma < 0).
Mamap2m_coefficients - Class in jline.api.mam
Mamap2m_coefficients.Mamap2mCoefficients - Class in jline.api.mam: Result tuple holding G, U, Y matrices.
mamap2m_fit(double, double, double, double, double[], double[], double[], Matrix) - Static method in class jline.api.mam.Mamap2m_fit
mamap2m_fit(double, double, double, double, double[], double[], double[], Matrix, double[]) - Static method in class jline.api.mam.Mamap2m_fit: Fits a MAPH(2,m) or MAMAP(2,m) matching the inter-arrival moments and decay rate, the class probabilities (always exactly) and, as far as the form allows, the forward moments, backward moments and class transition probabilities.
Mamap2m_fit - Class in jline.api.mam
mamap2m_fit_fb_multiclass(MatrixCell, double[], double[], double[]) - Static method in class jline.api.mam.Mamap2m_fit_fb_multiclass
mamap2m_fit_fb_multiclass(MatrixCell, double[], double[], double[], double[], double[]) - Static method in class jline.api.mam.Mamap2m_fit_fb_multiclass
Mamap2m_fit_fb_multiclass - Class in jline.api.mam: Triple of (fitted MMAP, feasible forward moments, feasible backward moments).
Mamap2m_fit_fb_multiclass.FitResult - Class in jline.api.mam
mamap2m_fit_gamma_fb(double, double, double, double, double[], double[], double[]) - Static method in class jline.api.mam.Mamap2m_fit_gamma_fb_mmap: Computes the second-order MAMAP[m] fitting the given moments.
mamap2m_fit_gamma_fb(double, double, double, double, double[], double[], double[]) - Static method in class jline.api.mam.Mamap2m_fit: MAMAP(2,m) fitted on the forward and backward moments only, used when the number of classes exceeds two (mamap2m_fit_gamma_fb.m).
mamap2m_fit_gamma_fb_mmap(MatrixCell) - Static method in class jline.api.mam.Mamap2m_fit_gamma_fb_mmap: Fits a second-order acyclic MMAP[m] to match the characteristics of the input MMAP.
Mamap2m_fit_gamma_fb_mmap - Class in jline.api.mam
mamap2m_fit_gamma_fb_trace(double[], int[]) - Static method in class jline.api.mam.Mamap2m_fit_gamma_fb_trace: Performs approximate fitting of a marked trace, yielding a second-order acyclic MMAP that matches the class probabilities, the forward and backward moments.
mamap2m_fit_gamma_fb_trace(Matrix, Matrix) - Static method in class jline.api.mam.Mamap2m_fit_gamma_fb_trace: Performs approximate fitting of a marked trace from Matrix inputs.
Mamap2m_fit_gamma_fb_trace - Class in jline.api.mam
mamap2m_fit_mmap(MatrixCell) - Static method in class jline.api.mam.Mamap2m_fit_mmap
mamap2m_fit_mmap(MatrixCell, double[]) - Static method in class jline.api.mam.Mamap2m_fit_mmap
Mamap2m_fit_mmap - Class in jline.api.mam: Markovian Arrival MAP with Marked arrivals MMAP-based fitting.
Mamap2m_fit_mmap.Mamap2mFitMmapAlgo - Class in jline.api.mam: MAMAP 2m fit mmap algorithms.
mamap2m_fit_trace(double[], int[]) - Static method in class jline.api.mam.Mamap2m_fit_trace: Fits a MAMAP(2,m) to trace data.
Mamap2m_fit_trace - Class in jline.api.mam
Mamap2mCoefficients(Matrix, Matrix, Matrix) - Constructor for class jline.api.mam.Mamap2m_coefficients.Mamap2mCoefficients
Mamap2mFitMmapAlgo() - Constructor for class jline.api.mam.Mamap2m_fit_mmap.Mamap2mFitMmapAlgo
mamAPH2Fit() - Constructor for class jline.io.Ret.mamAPH2Fit
MAMFJResult - Class in jline.solvers.mam: Result from Fork-Join analysis.
MAMFJResult(Matrix, Matrix, Matrix, Matrix, Matrix, List<MainFJ.FJPercentileResult>) - Constructor for class jline.solvers.mam.MAMFJResult
mamHasRetrial(NetworkStruct) - Static method in class jline.solvers.mam.SolverMAM: True when some station-class pair configures a retrial orbit (Queue.setRetrial / setOrbit), read off sn.retrialProc, which the refresh fills only for a configured delay that is not the Disabled placeholder.
MAMInternals - Class in jline.solvers.mam: Intermediate quantities of the matrix-analytic analysis of a single-queue model, in addition to the mean performance measures returned by getAvg.
MAMInternals(QsysBmapM1Result, QsysRetrialResult) - Constructor for class jline.solvers.mam.MAMInternals
mamMAPFitIdcReturn() - Constructor for class jline.io.Ret.mamMAPFitIdcReturn
mamMAPFitReturn() - Constructor for class jline.io.Ret.mamMAPFitReturn
mamMMAPMixtureFit() - Constructor for class jline.io.Ret.mamMMAPMixtureFit
mamMMAPSample(double[], int, int[]) - Constructor for class jline.io.Ret.mamMMAPSample
mamMMAPSample(double[], int, int[], int[]) - Constructor for class jline.io.Ret.mamMMAPSample
MAMOptions - Class in jline.solvers.mam
MAMOptions() - Constructor for class jline.solvers.mam.MAMOptions
MAMResult - Class in jline.solvers.mam
MAMResult() - Constructor for class jline.solvers.mam.MAMResult
mamRetrialRefusal(NetworkStruct) - Static method in class jline.solvers.mam.SolverMAM: Can the 'retrial' method answer this model? Empty string when it can.
map - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.ComposeResult
MAP - Class in jline.lang.processes: A Markovian Arrival Process
MAP - Enum constant in enum jline.lang.constant.ProcessType
MAP - Variable in class jline.io.Ret.mamMAPFitIdcReturn
MAP - Variable in class jline.io.Ret.mamMAPFitReturn
MAP - Variable in class jline.lib.kpctoolbox.erchmm.ERCHMMFitResult
MAP - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitResult
MAP() - Constructor for class jline.lang.processes.MAP
MAP(MatrixCell) - Constructor for class jline.lang.processes.MAP
MAP(Matrix, Matrix) - Constructor for class jline.lang.processes.MAP
map_acf(MatrixCell) - Static method in class jline.api.mam.Map_acf
map_acf(MatrixCell, Matrix) - Static method in class jline.api.mam.Map_acf
map_acf(Matrix, Matrix) - Static method in class jline.api.mam.Map_acf
map_acf(Matrix, Matrix, int) - Static method in class jline.api.mam.Map_acf
map_acf(Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Map_acf: Computes the autocorrelation function (ACF) for a given MAP at multiple lags.
Map_acf - Class in jline.api.mam
map_acfc(MatrixCell, int[], double) - Static method in class jline.api.mam.Map_acfc: Computes the autocorrelation function coefficients (ACFC) for a MAP counting process using a MatrixCell.
map_acfc(Matrix, Matrix, int[], double) - Static method in class jline.api.mam.Map_acfc: Computes the autocorrelation function coefficients (ACFC) for a MAP counting process.
Map_acfc - Class in jline.api.mam
map_anfit(double, double, double, int, int) - Static method in class jline.api.mam.Map_anfit
map_anfit(double, double, double, int, int, double[], int[]) - Static method in class jline.api.mam.Map_anfit
map_anfit(double, double, double, int, int, double[], int[], int, double) - Static method in class jline.api.mam.Map_anfit
Map_anfit - Class in jline.api.mam: Andersen-Nielsen MAP fitting algorithm.
Map_anfit.MapAnfitAlgo - Class in jline.api.mam: MAP Andersen-Nielsen fitting algorithms.
map_bernstein(DoubleUnaryOperator) - Static method in class jline.api.mam.Map_bernstein
map_bernstein(DoubleUnaryOperator, int) - Static method in class jline.api.mam.Map_bernstein: Converts a distribution to a MAP via Bernstein polynomial approximation.
Map_bernstein - Class in jline.api.mam
map_block(double, double, double, double) - Static method in class jline.api.mam.Map_block
map_block(double, double, double, double, String) - Static method in class jline.api.mam.Map_block: Constructs a MAP(2) or MAP(1) according to given moments and autocorrelation parameters.
Map_block - Class in jline.api.mam
map_ccdf_derivative(MatrixCell, int) - Static method in class jline.api.mam.Map_ccdf_derivative: Compute derivative at 0 of a MAP complementary CDF.
map_ccdf_derivative(Matrix, Matrix, int) - Static method in class jline.api.mam.Map_ccdf_derivative: Compute derivative at 0 of a MAP complementary CDF.
Map_ccdf_derivative - Class in jline.api.mam
map_cdf(MatrixCell, Matrix) - Static method in class jline.api.mam.Map_cdf: CDF of MAP inter-arrival times when MAP is a MatrixCell.
map_cdf(Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Map_cdf: Computes the cumulative distribution function (CDF) of the inter-arrival times of a Markovian Arrival Process (MAP).
Map_cdf - Class in jline.api.mam
map_checkfeasible(MatrixCell, double) - Static method in class jline.api.mam.Map_checkfeasible: Check the feasibility of a MAP with detailed validation.
map_checkfeasible(Matrix, Matrix) - Static method in class jline.api.mam.Map_checkfeasible
map_checkfeasible(Matrix, Matrix, double) - Static method in class jline.api.mam.Map_checkfeasible: Check the feasibility of a MAP given separate D0 and D1 matrices.
Map_checkfeasible - Class in jline.api.mam
map_compute_R(Matrix, Matrix, double) - Static method in class jline.api.mam.Map_m1ps: Minimal nonnegative solution R of D + R(C - mu I) + mu R^2 = 0, by the fixed point R <- -D (C - mu I + mu R)^-1 started at R = 0.
map_count_idc(MatrixCell, double) - Static method in class jline.api.mam.Map_count_idc: Index of dispersion for counts (IDC) of a MAP at a single time point.
map_count_idc(MatrixCell, double[]) - Static method in class jline.api.mam.Map_count_idc: Index of dispersion for counts (IDC) of a MAP at a set of time points.
Map_count_idc - Class in jline.api.mam
map_count_mean(MatrixCell, double) - Static method in class jline.api.mam.Map_count_mean: Computes the mean of the counting process over a specified interval length for a given MAP.
map_count_mean(MatrixCell, double[]) - Static method in class jline.api.mam.Map_count_mean: Computes the mean of the counting process over multiple specified interval lengths for a given MAP.
Map_count_mean - Class in jline.api.mam
map_count_moment(MatrixCell, double, int) - Static method in class jline.api.mam.Map_count_moment: Computes power moments of counts at resolution t for a Markovian Arrival Process (MAP).
map_count_moment(MatrixCell, double, int[]) - Static method in class jline.api.mam.Map_count_moment: Computes multiple power moments of counts at resolution t for a MAP.
Map_count_moment - Class in jline.api.mam
map_count_var(MatrixCell, double) - Static method in class jline.api.mam.Map_count_var: Computes the variance of the counting process over a specified interval length for a given Markovian Arrival Process (MAP).
map_count_var(MatrixCell, double[]) - Static method in class jline.api.mam.Map_count_var: Computes the variance of the counting process over multiple specified interval lengths for a given Markovian Arrival Process (MAP).
Map_count_var - Class in jline.api.mam
map_dist(Matrix, Matrix, Matrix, Matrix, int) - Static method in class jline.api.mam.Map_dist: Computes the squared L2 distance between lag-L joint densities of two MAPs.
map_dist(Matrix, Matrix, Matrix, Matrix, int, Matrix, Matrix) - Static method in class jline.api.mam.Map_dist: Computes the squared L2 distance between lag-L joint densities of two MAPs.
Map_dist - Class in jline.api.mam
map_dist_acf(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Map_dist_acf: Computes the squared L2 distance between autocorrelation functions of two MAPs.
map_dist_acf(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Map_dist_acf: Computes the squared L2 distance between autocorrelation functions of two MAPs.
Map_dist_acf - Class in jline.api.mam
map_embedded(MatrixCell) - Static method in class jline.api.mam.Map_embedded: Computes the embedded discrete-time Markov chain (DTMC) matrix of a MAP given as a MatrixCell.
map_embedded(Matrix, Matrix) - Static method in class jline.api.mam.Map_embedded: Computes the embedded discrete-time Markov chain (DTMC) matrix of a MAP.
Map_embedded - Class in jline.api.mam
map_env - Variable in class jline.solvers.SolverOptions.Config: Random-environment fallback for MAP/MMPP/MMAP models on solvers that cannot consume a non-renewal process: "auto" approximates the model through its environment image, "off" rejects it as before.
map_env_maxstages - Variable in class jline.solvers.SolverOptions.Config: Cap on the number of environment stages, i.e.
map_env_method - Variable in class jline.solvers.SolverOptions.Config: Environment recombination used by that fallback: "auto", "meanfield" (transient-capable stage solvers only), "dec" (slow-environment limit) or "avg" (fast-environment limit).
map_erlang(double, int) - Static method in class jline.api.mam.Map_erlang: Fits an Erlang-k process as a Markovian Arrival Process (MAP).
Map_erlang - Class in jline.api.mam
map_example1() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MAP Example 1 Source: MAP_example1.mat Category: Examples
map_exp_mul_int(Matrix, Matrix, Matrix, Matrix, int, Matrix, Matrix) - Static method in class jline.api.mam.Map_exp_mul_int: Computes the inner product of lag-L joint densities of two MAPs.
Map_exp_mul_int - Class in jline.api.mam
map_exponential(double) - Static method in class jline.api.mam.Map_exponential: Creates a Markovian Arrival Process (MAP) with an exponential inter-arrival time distribution.
Map_exponential - Class in jline.api.mam
map_feasblock(double, double, double, double) - Static method in class jline.api.mam.Map_feasblock
map_feasblock(double, double, double, double, String) - Static method in class jline.api.mam.Map_feasblock: Fits the most similar feasible MAP when exact moment matching fails.
Map_feasblock - Class in jline.api.mam
map_feastol() - Static method in class jline.api.mam.Map_feastol: Returns the feasibility tolerance EXPONENT for MAPs.
Map_feastol - Class in jline.api.mam
map_gamma(MatrixCell) - Static method in class jline.api.mam.Map_gamma: Estimates the autocorrelation decay rate of a MAP.
map_gamma(Matrix, Matrix) - Static method in class jline.api.mam.Map_gamma: Estimates the autocorrelation decay rate of a MAP.
map_gamma(Matrix, Matrix, int) - Static method in class jline.api.mam.Map_gamma: Estimates the autocorrelation decay rate of a MAP.
Map_gamma - Class in jline.api.mam
map_gamma2(MatrixCell) - Static method in class jline.api.mam.Map_gamma2: Returns the largest non-unit eigenvalue (both real and imaginary parts) of the embedded Discrete-Time Markov Chain (DTMC) of a given Markovian Arrival Process (MAP).
Map_gamma2 - Class in jline.api.mam
map_geo_mul_sum(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Map_dist_acf: Computes the geometric sum needed for the autocorrelation distance.
map_hyperexp(double, double, double) - Static method in class jline.api.mam.Map_hyperexp: Fit a two-phase Hyper-exponential renewal process as a MAP.
Map_hyperexp - Class in jline.api.mam
map_idc(MatrixCell) - Static method in class jline.api.mam.Map_idc: Computes the asymptotic index of dispersion (IDC) for a MAP stored in a MatrixCell that contains the MAP's transition matrices.
map_idc(Matrix, Matrix) - Static method in class jline.api.mam.Map_idc: Computes the asymptotic index of dispersion (IDC) for a Markovian Arrival Process (MAP).
Map_idc - Class in jline.api.mam
map_infgen(MatrixCell) - Static method in class jline.api.mam.Map_infgen: Computes the infinitesimal generator matrix (Q) of the Continuous-Time Markov Chain (CTMC) underlying a Markovian Arrival Process (MAP).
map_infgen(Matrix, Matrix) - Static method in class jline.api.mam.Map_infgen: Computes the infinitesimal generator matrix (Q) of the Continuous-Time Markov Chain (CTMC) underlying a Markovian Arrival Process (MAP).
Map_infgen - Class in jline.api.mam
map_isfeasible(MatrixCell) - Static method in class jline.api.mam.Map_isfeasible: Checks if the provided MAP is feasible using a default tolerance.
map_isfeasible(MatrixCell, double) - Static method in class jline.api.mam.Map_isfeasible: Checks if the provided MAP is feasible based on the given tolerance.
Map_isfeasible - Class in jline.api.mam
map_joint(MatrixCell, int[], int[]) - Static method in class jline.api.mam.Map_joint: Computes the joint moments of a Markovian Arrival Process (MAP).
map_joint(Matrix, Matrix, int[], int[]) - Static method in class jline.api.mam.Map_joint: Computes the joint moments of a Markovian Arrival Process (MAP).
Map_joint - Class in jline.api.mam
map_jointpdf_derivative(MatrixCell, int[]) - Static method in class jline.api.mam.Map_jointpdf_derivative: Compute partial derivative at 0 of a MAP's joint PDF.
map_jointpdf_derivative(Matrix, Matrix, int[]) - Static method in class jline.api.mam.Map_jointpdf_derivative: Compute partial derivative at 0 of a MAP's joint PDF.
Map_jointpdf_derivative - Class in jline.api.mam
map_kpc(List<Matrix[]>) - Static method in class jline.api.mam.Map_kpc: Convenience function for composing a list of MAPs.
map_kpc(Matrix[], Matrix[]) - Static method in class jline.api.mam.Map_kpc: Convenience function for composing exactly two MAPs.
Map_kpc - Class in jline.api.mam
map_kurt(MatrixCell) - Static method in class jline.api.mam.Map_kurt: Computes the kurtosis of the inter-arrival times in a Markovian Arrival Process (MAP).
Map_kurt - Class in jline.api.mam
map_lambda(MatrixCell) - Static method in class jline.api.mam.Map_lambda: Computes the arrival rate (lambda) of a MAP using matrices stored in a MatrixCell.
map_lambda(Matrix, Matrix) - Static method in class jline.api.mam.Map_lambda: Computes the arrival rate (lambda) of a Markovian Arrival Process (MAP).
Map_lambda - Class in jline.api.mam: MAP arrival rate computation algorithms.
map_largemap() - Static method in class jline.api.mam.Map_largemap: Returns the maximum size considered for large MAPs.
Map_largemap - Class in jline.api.mam
Map_m1ps - Class in jline.api.mam: Sojourn time distribution of the MAP/M/1 processor-sharing queue.
map_m1ps_h_recursive(Matrix, Matrix, double, int, int) - Static method in class jline.api.mam.Map_m1ps: The h_{n,k} vectors of Theorem 1, returned as h[n][k], each M x 1:
map_m1ps_sojourn(Matrix, Matrix, double, double[]) - Static method in class jline.api.mam.Map_m1ps: map_m1ps_sojourn at the reference defaults epsilon = 1e-11, epsilon' = 1e-10.
map_m1ps_sojourn(Matrix, Matrix, double, double[], double, double) - Static method in class jline.api.mam.Map_m1ps
Map_m1ps.SojournResult - Class in jline.api.mam: Result of Map_m1ps.map_m1ps_sojourn(jline.util.matrix.Matrix, jline.util.matrix.Matrix, double, double[]).
map_mark(MatrixCell, Matrix) - Static method in class jline.api.mam.Map_mark: Creates a Marked Markovian Arrival Process (MMAP) by marking a given MAP with additional phases based on specified marking probabilities.
Map_mark - Class in jline.api.mam
map_max(MatrixCell, MatrixCell) - Static method in class jline.api.mam.Map_max: Computes the MAP that represents the maximum of two independent MAPs.
Map_max - Class in jline.api.mam
map_mean(MatrixCell) - Static method in class jline.api.mam.Map_mean: Computes the mean inter-arrival time of a MAP using matrices stored in a MatrixCell.
map_mean(Matrix, Matrix) - Static method in class jline.api.mam.Map_mean: Computes the mean inter-arrival time of a Markovian Arrival Process (MAP).
Map_mean - Class in jline.api.mam: MAP mean inter-arrival time computation algorithms.
map_mixture(double[], MatrixCell[]) - Static method in class jline.api.mam.Map_mixture: Creates a probabilistic mixture of Markovian Arrival Processes (MAPs).
Map_mixture - Class in jline.api.mam
map_mmpp2(double, double, double, double) - Static method in class jline.api.mam.Map_mmpp2: Fits an MMPP(2) as a MAP from four descriptive parameters.
Map_mmpp2 - Class in jline.api.mam
map_moment(MatrixCell, int) - Static method in class jline.api.mam.Map_moment: Computes the raw moments using a MatrixCell.
map_moment(Matrix, Matrix, int) - Static method in class jline.api.mam.Map_moment: Computes the raw moments of the inter-arrival times of a MAP.
Map_moment - Class in jline.api.mam
map_normalize(MatrixCell) - Static method in class jline.api.mam.Map_normalize: Sanitizes the (D0, D1) matrices of a MAP stored in a MatrixCell.
map_normalize(Matrix, Matrix) - Static method in class jline.api.mam.Map_normalize: Sanitizes the (D0, D1) matrices of a Markovian Arrival Process (MAP).
Map_normalize - Class in jline.api.mam
map_pdf(MatrixCell, double) - Static method in class jline.api.mam.Map_pdf
map_pdf(MatrixCell, double[]) - Static method in class jline.api.mam.Map_pdf: Computes the PDF of a MAP at specified time points.
map_pdf(Matrix, Matrix, double) - Static method in class jline.api.mam.Map_pdf
map_pdf(Matrix, Matrix, double[]) - Static method in class jline.api.mam.Map_pdf
Map_pdf - Class in jline.api.mam
map_pie(MatrixCell) - Static method in class jline.api.mam.Map_pie: Computes the steady-state probability vector of the embedded DTMC of a MAP stored in a MatrixCell that contains the MAP's transition matrices.
map_pie(Matrix, Matrix) - Static method in class jline.api.mam.Map_pie: Computes the steady-state probability vector of the embedded Discrete Time Markov Chain (DTMC) associated with a Markovian Arrival Process (MAP).
Map_pie - Class in jline.api.mam
map_piq(MatrixCell) - Static method in class jline.api.mam.Map_piq: Computes the steady-state vector (pi) of the Continuous-Time Markov Chain (CTMC) underlying a Markovian Arrival Process (MAP).
map_piq(Matrix, Matrix) - Static method in class jline.api.mam.Map_piq: Computes the steady-state vector (pi) of the Continuous-Time Markov Chain (CTMC) underlying a Markovian Arrival Process (MAP).
Map_piq - Class in jline.api.mam
map_pntiter(Matrix[], int, double) - Static method in class jline.api.mam.Map_pntiter
map_pntiter(Matrix[], int, double, Integer) - Static method in class jline.api.mam.Map_pntiter: Probability of having exactly na arrivals within time interval t using iterative method.
Map_pntiter - Class in jline.api.mam
map_pntquad(Matrix[], int, double) - Static method in class jline.api.mam.Map_pntquad: Compute MAP point process probabilities using ODE quadrature method.
Map_pntquad - Class in jline.api.mam
map_prob(MatrixCell) - Static method in class jline.api.mam.Map_prob: Computes the equilibrium distribution of the underlying continuous-time Markov chain for a MAP.
map_prob(Matrix, Matrix) - Static method in class jline.api.mam.Map_prob: Computes the equilibrium distribution of the underlying continuous-time Markov chain for a MAP.
Map_prob - Class in jline.api.mam
map_rand() - Static method in class jline.api.mam.Map_rand: Generates a random Markovian Arrival Process (MAP) with 2 states.
map_rand(int) - Static method in class jline.api.mam.Map_rand: Generates a random Markovian Arrival Process (MAP) with K states.
Map_rand - Class in jline.api.mam
map_randn() - Static method in class jline.api.mam.Map_randn: Generates a random MAP with 2 states using N(1, 2^2) magnitudes.
map_randn(int, double, double) - Static method in class jline.api.mam.Map_randn: Generates a random MAP with K states using normal distribution.
Map_randn - Class in jline.api.mam
map_renewal(MatrixCell) - Static method in class jline.api.mam.Map_renewal: Creates a renewal MAP by removing all correlations from the input MAP.
map_renewal(Matrix, Matrix) - Static method in class jline.api.mam.Map_renewal: Creates a renewal MAP by removing all correlations from the input MAP.
Map_renewal - Class in jline.api.mam
map_sample(MatrixCell, long, Random) - Static method in class jline.api.mam.Map_sample: Generates samples of inter-arrival times from a MAP using a specified number of samples and a random generator.
map_sample(Matrix, Matrix, long, Random) - Static method in class jline.api.mam.Map_sample: Generates samples of inter-arrival times from a MAP using a specified number of samples and a random generator.
Map_sample - Class in jline.api.mam
Map_sample.BmapSampler - Class in jline.api.mam: Stateful sampler for a BMAP (Batch Markovian Arrival Process) that retains the modulating phase between draws.
Map_sample.MapSampler - Class in jline.api.mam: Stateful single-event MAP sampler that carries the modulating phase across calls.
map_scale(MatrixCell, double) - Static method in class jline.api.mam.Map_scale: Rescales the mean inter-arrival time of a MAP stored in a MatrixCell that contains the MAP's transition matrices.
map_scale(Matrix, Matrix, double) - Static method in class jline.api.mam.Map_scale: Rescales the mean inter-arrival time of a Markovian Arrival Process (MAP) to a specified new mean.
Map_scale - Class in jline.api.mam
map_scv(MatrixCell) - Static method in class jline.api.mam.Map_scv: Computes the squared coefficient of variation (SCV) of the inter-arrival times of a MAP stored in a MatrixCell that contains the MAP's transition matrices.
map_scv(Matrix, Matrix) - Static method in class jline.api.mam.Map_scv: Computes the squared coefficient of variation (SCV) of the inter-arrival times of a Markovian Arrival Process (MAP).
Map_scv - Class in jline.api.mam
map_skew(MatrixCell) - Static method in class jline.api.mam.Map_skew: Computes the skewness of the inter-arrival times for a MAP using a MatrixCell.
map_skew(Matrix, Matrix) - Static method in class jline.api.mam.Map_skew: Computes the skewness of the inter-arrival times for a MAP.
Map_skew - Class in jline.api.mam
map_stochcomp(MatrixCell, int[]) - Static method in class jline.api.mam.Map_stochcomp: Performs stochastic complementation on a MAP by eliminating specified states.
map_stochcomp(Matrix, Matrix, int[]) - Static method in class jline.api.mam.Map_stochcomp: Performs stochastic complementation on a MAP by eliminating specified states.
Map_stochcomp - Class in jline.api.mam
map_sum(MatrixCell, int) - Static method in class jline.api.mam.Map_sum: Computes the Markovian Arrival Process (MAP) representing the sum of n identical MAPs.
Map_sum - Class in jline.api.mam
map_sumind(MatrixCell[]) - Static method in class jline.api.mam.Map_sumind: Computes the Markovian Arrival Process (MAP) representing the sum of `n` independent MAPs.
Map_sumind - Class in jline.api.mam
map_super(MatrixCell, MatrixCell) - Static method in class jline.api.mam.Map_super: Creates a superposition of two Markovian Arrival Processes (MAPs) to form a new MAP.
Map_super - Class in jline.api.mam
map_timereverse(MatrixCell) - Static method in class jline.api.mam.Map_timereverse: Computes the time-reversed MAP of a given MAP.
Map_timereverse - Class in jline.api.mam
map_var(MatrixCell) - Static method in class jline.api.mam.Map_var: Computes the variance of the inter-arrival times for a MAP using a MatrixCell.
map_var(Matrix, Matrix) - Static method in class jline.api.mam.Map_var: Computes the variance of the inter-arrival times for a MAP.
Map_var - Class in jline.api.mam: MAP variance computation algorithms.
map_varcount(MatrixCell, double) - Static method in class jline.api.mam.Map_varcount
map_varcount(MatrixCell, Matrix) - Static method in class jline.api.mam.Map_varcount
map_varcount(Matrix, Matrix, double) - Static method in class jline.api.mam.Map_varcount: Variance of the counts in a MAP over a time period t.
map_varcount(Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Map_varcount: Variance of the counts in a MAP over multiple time periods.
Map_varcount - Class in jline.api.mam
map2_fit(double, double, double) - Static method in class jline.api.mam.Map2_fit: Fits a 2-phase Markovian Arrival Process (MAP2) using the first three moments.
map2_fit(double, double, double, double) - Static method in class jline.api.mam.Map2_fit: Fits a 2-phase Markovian Arrival Process (MAP2) to match the given moments and decay rate of the autocorrelation function.
Map2_fit - Class in jline.api.mam
map2_fit_idc(double, double, double, double) - Static method in class jline.api.mam.Map2_fit_idc: Fits a MAP(2) to three moments and an index of dispersion.
Map2_fit_idc - Class in jline.api.mam: Fits a second-order MAP matching the first three moments and the asymptotic index of dispersion.
map2CorrelationBounds(double[]) - Static method in class jline.lib.butools.map.MAP2CorrelationBounds: Returns the upper and lower correlation bounds for a MAP(2) given the three marginal moments.
MAP2CorrelationBounds - Class in jline.lib.butools.map
map2FromMoments(double[], double) - Static method in class jline.lib.butools.map.MAP2FromMoments: Returns a MAP(2) which has the same 3 marginal moments and lag-1 autocorrelation as given.
MAP2FromMoments - Class in jline.lib.butools.map
map2mmpp(Matrix[]) - Static method in class jline.api.mam.Map2mmpp: Convert a MAP to MMPP format by extracting generator matrix Q and rate matrix LAMBDA.
Map2mmpp - Class in jline.api.mam
map2ph(MatrixCell) - Static method in class jline.api.mam.Map2ph: Converts a MAP to a Phase-Type (PH) distribution.
Map2ph - Class in jline.api.mam
map2renv(Network, SolverOptions) - Static method in class jline.io.MAPQN2RENV
map2renvImage(Network, SolverOptions) - Static method in class jline.io.MAPQN2RENV
MapAnfitAlgo() - Constructor for class jline.api.mam.Map_anfit.MapAnfitAlgo
MAPBMAP1Result - Class in jline.solvers.mam.handlers: Result of MAP/BMAP/1 queue analysis.
MAPBMAP1Result(double, double, double, double, Matrix, Matrix, double) - Constructor for class jline.solvers.mam.handlers.MAPBMAP1Result
MAPCatalog - Class in jline.lib.kpctoolbox: Complete catalog of MAP (Markovian Arrival Process) models migrated from MATLAB Location: /home/gcasale/code/matlab/maps/ This class provides static methods to create all MAP and MMPP2 models from the maps directory including those from .mat files and .m function files.
MAPCatalog() - Constructor for class jline.lib.kpctoolbox.MAPCatalog
MAPDcOptions - Class in jline.lib.qmam: Options for MAP/D/c queue analysis.
MAPDcOptions() - Constructor for class jline.lib.qmam.MAPDcOptions
MAPDcOptions(int, int, int) - Constructor for class jline.lib.qmam.MAPDcOptions
MAPDcResult - Class in jline.lib.qmam: Result of MAP/D/c queue analysis.
MAPDcResult(Matrix, Matrix) - Constructor for class jline.lib.qmam.MAPDcResult
mape - Variable in class jline.util.Utils.MapeResult
mape(Matrix, Matrix) - Static method in class jline.bench.BenchmarkUtils: Calculate Mean Absolute Percentage Error (MAPE) Wrapper for Utils.mape for benchmark compatibility
mape(Matrix, Matrix) - Static method in class jline.util.Utils: Return mean absolute percentage error of approx with respect to exact
mapEnvApprox(SolverOptions) - Method in class jline.solvers.NetworkSolver: Solver-agnostic random-environment approximation of a network with MAP/MMPP/MMAP arrival or service processes, for solvers that cannot consume a non-renewal process natively.
MapeResult(double, double, int) - Constructor for class jline.util.Utils.MapeResult
mapeWithNanMean(Matrix, Matrix) - Static method in class jline.util.Utils: Polymorphic version that returns both MAPE and nanMean.
MAPFitResult - Class in jline.lib.butools.fitting: Result of MAP fitting.
MAPFitResult(Matrix, Matrix, double) - Constructor for class jline.lib.butools.fitting.MAPFitResult
mapFromFewMomentsAndCorrelations(double[]) - Static method in class jline.lib.butools.map.MAPFromFewMomentsAndCorrelations
mapFromFewMomentsAndCorrelations(double[], double) - Static method in class jline.lib.butools.map.MAPFromFewMomentsAndCorrelations
mapFromFewMomentsAndCorrelations(double[], double, Double) - Static method in class jline.lib.butools.map.MAPFromFewMomentsAndCorrelations: Creates a Markovian arrival process that has the given 2 or 3 marginal moments and lag-1 autocorrelation.
MAPFromFewMomentsAndCorrelations - Class in jline.lib.butools.map
mapFromRAP(Matrix, Matrix) - Static method in class jline.lib.butools.map.MAPFromRAP
mapFromRAP(Matrix, Matrix, double) - Static method in class jline.lib.butools.map.MAPFromRAP: Obtains a Markovian representation of a continuous rational arrival process of the same size, if possible.
MAPFromRAP - Class in jline.lib.butools.map
mapFromTrace(double[], int[]) - Static method in class jline.lib.butools.fitting.MAPFromTrace
mapFromTrace(double[], int[], int) - Static method in class jline.lib.butools.fitting.MAPFromTrace
mapFromTrace(double[], int[], int, double) - Static method in class jline.lib.butools.fitting.MAPFromTrace
mapFromTrace(double[], int[], int, double, Matrix[]) - Static method in class jline.lib.butools.fitting.MAPFromTrace
mapFromTrace(double[], int[], int, double, Matrix[], String) - Static method in class jline.lib.butools.fitting.MAPFromTrace: Performs MAP fitting using the EM algorithm (ErCHMM).
MAPFromTrace - Class in jline.lib.butools.fitting: Top-level functions for MAP-from-trace fitting.
maph2m_fit(double, double, double, Matrix, Matrix) - Static method in class jline.api.mam.Maph2m_fit: Computes the second-order MAPH[m] fitting the first three moments, the class probabilities (always fitted exactly) and the first-order backward moments.
Maph2m_fit - Class in jline.api.mam
maph2m_fit_mmap(MatrixCell) - Static method in class jline.api.mam.Maph2m_fit_mmap: Fits an MMAP[m] with a second-order MAPH[m] that matches the class probabilities (always fitted exactly) and the backward moments.
Maph2m_fit_mmap - Class in jline.api.mam
maph2m_fit_multiclass(double, double, double, double[]) - Static method in class jline.api.mam.Maph2m_fit_multiclass
maph2m_fit_multiclass(double, double, double, double[], double[]) - Static method in class jline.api.mam.Maph2m_fit_multiclass
maph2m_fit_multiclass(double, double, double, double[], double[], double[]) - Static method in class jline.api.mam.Maph2m_fit_multiclass: Fits a multi-class MAPH(2,m) model to given multi-class characteristics.
maph2m_fit_multiclass(MatrixCell, Matrix, Matrix) - Static method in class jline.api.mam.Maph2m_fit: Convenience overload with unit class weights.
maph2m_fit_multiclass(MatrixCell, Matrix, Matrix, double[]) - Static method in class jline.api.mam.Maph2m_fit: Marks a canonical acyclic APH(2) so that the class probabilities are matched exactly and the backward moments as closely as possible.
Maph2m_fit_multiclass - Class in jline.api.mam
maph2m_fit_trace(double[], int[]) - Static method in class jline.api.mam.Maph2m_fit_trace: Fits a multi-class MAPH(2,m) model to trace data with class labels.
Maph2m_fit_trace - Class in jline.api.mam
maph2m_fit_trace_timestamps(double[], int[]) - Static method in class jline.api.mam.Maph2m_fit_trace: Fits a multi-class MAPH(2,m) model to trace data with arrival time stamps and class labels.
MAPM1PSCdfRespT - Class in jline.api.map: MAP/M/1-PS Sojourn Time Distribution Computes the complementary distribution function of sojourn time in a MAP/M/1 processor-sharing queue using the algorithm from: Masuyama, H., and Takine, T.
mapmap1(Matrix, Matrix, Matrix, Matrix, Map<String, Object>) - Static method in class jline.lib.butools.queues.MAPMAP1
mapmap1(Matrix, Matrix, Matrix, Matrix, Map<String, Object>, double) - Static method in class jline.lib.butools.queues.MAPMAP1: Returns various performance measures of a continuous time MAP/MAP/1 queue.
MAPMAP1 - Class in jline.lib.butools.queues
MAPMAP1Options - Class in jline.lib.qmam: Options for MAP/MAP/1 queue analysis.
MAPMAP1Options() - Constructor for class jline.lib.qmam.MAPMAP1Options
MAPMAP1Options(String, int, int) - Constructor for class jline.lib.qmam.MAPMAP1Options
MAPMAP1Result - Class in jline.lib.qmam: Result of MAP/MAP/1 queue analysis.
MAPMAP1Result(Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.lib.qmam.MAPMAP1Result
MAPMcOptions - Class in jline.lib.qmam: Options for MAP/M/c queue analysis.
MAPMcOptions() - Constructor for class jline.lib.qmam.MAPMcOptions
MAPMcOptions(String, int, int) - Constructor for class jline.lib.qmam.MAPMcOptions
MAPMcResult - Class in jline.lib.qmam: Result of MAP/M/c queue analysis.
MAPMcResult(Matrix, Matrix, Matrix) - Constructor for class jline.lib.qmam.MAPMcResult
Mapqn_amva - Class in jline.api.mapqn: Horizontal-cut mean value analysis for a MAP server (SolverMVA method 'amva.mapqn').
Mapqn_amva.Result - Class in jline.api.mapqn: X: class throughputs; Qq: mean queue lengths at the MAP station (job in service included); U: busy probability per class, X E[S]; ES: mean service times; pi: joint phase law at N (class R fastest).
Mapqn_bnd_lr - Class in jline.api.mapqn: Implementation of bnd_linearreduction_new.mod linear program.
Mapqn_bnd_lr_mva - Class in jline.api.mapqn: Implementation of bnd_mvaversion.mod linear program: the MAP-AMVA optimization program of G.
Mapqn_bnd_lr_pf - Class in jline.api.mapqn: Implementation of bnd_linearreduction_pf.mod linear program This is the Product Form version without phases
Mapqn_bnd_lr_pf.PFParameters - Class in jline.api.mapqn: Parameters for the Product Form linear reduction model
Mapqn_bnd_qr - Class in jline.api.mapqn: Implementation of bnd_quadraticreduction.mod linear program.
Mapqn_bnd_qr_delay - Class in jline.api.mapqn: Implementation of bnd_quadraticreduction_delay.mod linear program.
Mapqn_bnd_qr_delay.QuadraticDelayParameters - Class in jline.api.mapqn: Parameters for the quadratic reduction delay model.
Mapqn_bnd_qr_ld - Class in jline.api.mapqn: Implementation of bnd_quadraticreduction_ld.mod linear program (load-dependent).
Mapqn_bnd_qr_ld.QuadraticLDParameters - Class in jline.api.mapqn: Parameters for the quadratic reduction load-dependent model.
Mapqn_lpmodel - Class in jline.api.mapqn: Base class for representing MAPQN Linear Programming models
Mapqn_lpmodel() - Constructor for class jline.api.mapqn.Mapqn_lpmodel
Mapqn_lpmodel.LinearConstraintBuilder - Class in jline.api.mapqn: Helper class for building linear constraints
Mapqn_nlp_solver - Class in jline.api.mapqn: Smooth minimisation over a polytope, by proximal projected gradient with an OSQP projection oracle.
Mapqn_nlp_solver.GradientFn - Interface in jline.api.mapqn: Objective gradient at x, accumulated into gradOut (pre-zeroed by the caller).
Mapqn_nlp_solver.ObjectiveFn - Interface in jline.api.mapqn: Objective value at x.
Mapqn_parameters - Class in jline.api.mapqn: Base class for MAPQN model parameters.
Mapqn_parameters() - Constructor for class jline.api.mapqn.Mapqn_parameters
Mapqn_parameters_factory - Class in jline.api.mapqn: Factory class for creating Mapqn_parameters from NetworkStruct.
Mapqn_qr_bounds_bas - Class in jline.api.mapqn: Quadratic-reduction (QR) utilization bounds for closed MAP queueing networks under the blocking-after-service (BAS) protocol.
Mapqn_qr_bounds_bas_parameters - Class in jline.api.mapqn: Parameters for QR Bounds BAS (Blocking After Service) model.
Mapqn_qr_bounds_bas_parameters(int, int, int, int, int[], int[], Matrix, Matrix, int[], Matrix, Matrix[], Matrix[], Matrix) - Constructor for class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
Mapqn_qr_bounds_bas.BasSystem - Class in jline.api.mapqn: The assembled BAS constraint system, so a second objective can be optimized over the SAME polytope without a second transcription of the fifteen families.
Mapqn_qr_bounds_rsrd - Class in jline.api.mapqn
Mapqn_qr_bounds_rsrd_parameters - Class in jline.api.mapqn: Parameters for QR Bounds RSRD (Repetitive Service Random Destination) model.
Mapqn_qr_bounds_rsrd_parameters(int, int, int[], int[], Matrix[], Matrix[], double[][], Matrix) - Constructor for class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
Mapqn_qrf_bas_nlp - Class in jline.api.mapqn: Minimum-mutual-information, maximum-entropy and tree-reweighted (Bethe) bounds on the BAS-blocking polytope, the JAR twin of MATLAB qrf_bas_mmi.m / qrf_bas_mem.m / qrf_bas_bethe.m and of native Python api/mapqn/qrf_bas_nlp.py.
Mapqn_qrf_noblo_bethe - Class in jline.api.mapqn
Mapqn_qrf_noblo_mem - Class in jline.api.mapqn
Mapqn_qrf_noblo_mmi - Class in jline.api.mapqn
Mapqn_qrf_noblo_mmi_ld - Class in jline.api.mapqn
Mapqn_qrf_noblo_mmi_linear - Class in jline.api.mapqn
Mapqn_qrf_noblo_mmi.ConstraintSet - Class in jline.api.mapqn
Mapqn_solution - Class in jline.api.mapqn: Solution returned by Mapqn LP solvers.
Mapqn_solution(double, Map<String, Double>) - Constructor for class jline.api.mapqn.Mapqn_solution
mapqn2renv(Network) - Static method in class jline.io.MAPQN2RENV: Retained name for the transformation now implemented by MAPQN2RENV.map2renv(Network, SolverOptions), which generalizes it from a single MMPP2 service process to any number of MAP, MMPP2 or MMAP arrival and service processes of arbitrary phase order.
MAPQN2RENV - Class in jline.io: Markov-modulated image of a network with MAP/MMPP/MMAP arrival or service processes as a queueing network in a random environment.
MAPQN2RENV() - Constructor for class jline.io.MAPQN2RENV
MAPQN2RENV.RenvImage - Class in jline.io: The environment image together with the shape of the transformation.
mapqnReason(NetworkStruct) - Static method in class jline.solvers.mva.handlers.Solver_mapqn: The reason 'amva.mapqn' cannot solve sn, or "" when it can.
MAPRepresentation - Class in jline.lib.butools.map: Result class for RandomMAP.
MAPRepresentation(Matrix, Matrix) - Constructor for class jline.lib.butools.map.MAPRepresentation
MapSampler(Matrix, Matrix) - Constructor for class jline.api.mam.Map_sample.MapSampler
MAPt - Class in jline.lang.processes: Time-inhomogeneous Markovian arrival process (MAP_t).
MAPt(double[], List<Matrix>, List<Matrix>) - Constructor for class jline.lang.processes.MAPt: Creates a cyclic MAP_t.
MAPt(double[], List<Matrix>, List<Matrix>, boolean) - Constructor for class jline.lang.processes.MAPt: Creates a MAP_t with a piecewise-constant matrix schedule.
MAPT - Enum constant in enum jline.lang.constant.ProcessType
MAPt.RateSchedule - Class in jline.lang.processes: Capability type exposed so that model compilation can recognise a schedule-bearing process by capability rather than by class name.
marginal - Variable in class jline.api.spn.Spn_metrics.SpnMetricsResult: marginal[l][k] = P(m_l = k).
marginal - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult: Per-place-level marginal law, when the net route was taken.
marginal - Variable in class jline.solvers.ctmc.CTMCResult.Prob
marginal(int) - Method in class jline.api.dpfqn.DpfqnNcLdResult: Marginal queue length law of node j, P(X_j = n) for n = 0..N.
marginal(PermSolver, int[]) - Method in class jline.lib.perm.NetworkNoThink
marginal(PermSolver, int[]) - Method in class jline.lib.perm.NetworkThink
marginal(PermSolver, int[], boolean) - Method in class jline.lib.perm.NetworkNoThink
marginal(PermSolver, int[], boolean) - Method in class jline.lib.perm.NetworkThink
marginalDistributionFromDMAP(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDMAP
marginalDistributionFromDMAP(Matrix, Matrix, double) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDMAP: Returns the discrete phase type distributed marginal distribution of a discrete Markovian arrival process.
MarginalDistributionFromDMAP - Class in jline.lib.butools.dmap
marginalDistributionFromDMMAP(Matrix[]) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDMMAP
marginalDistributionFromDMMAP(Matrix[], double) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDMMAP
marginalDistributionFromDMMAP(MatrixCell) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDMMAP
marginalDistributionFromDMMAP(MatrixCell, double) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDMMAP: Returns the discrete phase type distributed marginal distribution of a discrete marked Markovian arrival process.
MarginalDistributionFromDMMAP - Class in jline.lib.butools.dmap
marginalDistributionFromDMRAP(Matrix[]) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDMRAP
marginalDistributionFromDMRAP(Matrix[], double) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDMRAP: Overload for Matrix[].
marginalDistributionFromDMRAP(MatrixCell) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDMRAP
marginalDistributionFromDMRAP(MatrixCell, double) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDMRAP: Returns the matrix geometrically distributed marginal distribution of a discrete marked rational arrival process.
MarginalDistributionFromDMRAP - Class in jline.lib.butools.dmap
marginalDistributionFromDRAP(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDRAP
marginalDistributionFromDRAP(Matrix, Matrix, double) - Static method in class jline.lib.butools.dmap.MarginalDistributionFromDRAP: Returns the matrix geometrically distributed marginal distribution of a discrete rational arrival process.
MarginalDistributionFromDRAP - Class in jline.lib.butools.dmap
marginalDistributionFromMAP(Matrix, Matrix) - Static method in class jline.lib.butools.map.MarginalDistributionFromMAP: Returns the phase type distributed marginal distribution of a Markovian arrival process.
MarginalDistributionFromMAP - Class in jline.lib.butools.map
marginalDistributionFromMMAP(Matrix[]) - Static method in class jline.lib.butools.map.MarginalDistributionFromMMAP
marginalDistributionFromMMAP(Matrix[], double) - Static method in class jline.lib.butools.map.MarginalDistributionFromMMAP
marginalDistributionFromMMAP(MatrixCell) - Static method in class jline.lib.butools.map.MarginalDistributionFromMMAP
marginalDistributionFromMMAP(MatrixCell, double) - Static method in class jline.lib.butools.map.MarginalDistributionFromMMAP: Returns the phase type distributed marginal distribution of a continuous marked Markovian arrival process.
MarginalDistributionFromMMAP - Class in jline.lib.butools.map
marginalDistributionFromMRAP(Matrix[]) - Static method in class jline.lib.butools.map.MarginalDistributionFromMRAP
marginalDistributionFromMRAP(Matrix[], double) - Static method in class jline.lib.butools.map.MarginalDistributionFromMRAP: Overload for Matrix[].
marginalDistributionFromMRAP(MatrixCell) - Static method in class jline.lib.butools.map.MarginalDistributionFromMRAP
marginalDistributionFromMRAP(MatrixCell, double) - Static method in class jline.lib.butools.map.MarginalDistributionFromMRAP: Returns the phase type distributed marginal distribution of a continuous marked rational arrival process.
MarginalDistributionFromMRAP - Class in jline.lib.butools.map
marginalDistributionFromRAP(Matrix, Matrix) - Static method in class jline.lib.butools.map.MarginalDistributionFromMAP: Returns the matrix exponential distributed marginal distribution of a rational arrival process.
marginalMomentsFromDMAP(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMAP
marginalMomentsFromDMAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMAP
marginalMomentsFromDMAP(Matrix, Matrix, int, double) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMAP: Returns the moments of the marginal distribution of a discrete Markovian arrival process.
MarginalMomentsFromDMAP - Class in jline.lib.butools.dmap
marginalMomentsFromDMMAP(Matrix[]) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMMAP
marginalMomentsFromDMMAP(Matrix[], int) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMMAP
marginalMomentsFromDMMAP(Matrix[], int, double) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMMAP: Overload for Matrix[].
marginalMomentsFromDMMAP(MatrixCell) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMMAP
marginalMomentsFromDMMAP(MatrixCell, int) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMMAP
marginalMomentsFromDMMAP(MatrixCell, int, double) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMMAP: Returns the moments of the marginal distribution of a discrete marked Markovian arrival process.
MarginalMomentsFromDMMAP - Class in jline.lib.butools.dmap
marginalMomentsFromDMRAP(Matrix[]) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMRAP
marginalMomentsFromDMRAP(Matrix[], int) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMRAP
marginalMomentsFromDMRAP(Matrix[], int, double) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMRAP: Overload for Matrix[].
marginalMomentsFromDMRAP(MatrixCell) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMRAP
marginalMomentsFromDMRAP(MatrixCell, int) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMRAP
marginalMomentsFromDMRAP(MatrixCell, int, double) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDMRAP: Returns the moments of the marginal distribution of a discrete marked rational arrival process.
MarginalMomentsFromDMRAP - Class in jline.lib.butools.dmap
marginalMomentsFromDRAP(Matrix, Matrix) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDRAP
marginalMomentsFromDRAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDRAP
marginalMomentsFromDRAP(Matrix, Matrix, int, double) - Static method in class jline.lib.butools.dmap.MarginalMomentsFromDRAP: Returns the moments of the marginal distribution of a discrete rational arrival process.
MarginalMomentsFromDRAP - Class in jline.lib.butools.dmap
marginalMomentsFromMAP(Matrix, Matrix) - Static method in class jline.lib.butools.map.MarginalMomentsFromMAP
marginalMomentsFromMAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.map.MarginalMomentsFromMAP: Returns the moments of the marginal distribution of a Markovian arrival process.
MarginalMomentsFromMAP - Class in jline.lib.butools.map
marginalMomentsFromMMAP(Matrix[]) - Static method in class jline.lib.butools.map.MarginalMomentsFromMMAP
marginalMomentsFromMMAP(Matrix[], int) - Static method in class jline.lib.butools.map.MarginalMomentsFromMMAP
marginalMomentsFromMMAP(Matrix[], int, double) - Static method in class jline.lib.butools.map.MarginalMomentsFromMMAP: Overload for Matrix[].
marginalMomentsFromMMAP(MatrixCell) - Static method in class jline.lib.butools.map.MarginalMomentsFromMMAP
marginalMomentsFromMMAP(MatrixCell, int) - Static method in class jline.lib.butools.map.MarginalMomentsFromMMAP
marginalMomentsFromMMAP(MatrixCell, int, double) - Static method in class jline.lib.butools.map.MarginalMomentsFromMMAP: Returns the moments of the marginal distribution of a continuous marked Markovian arrival process.
MarginalMomentsFromMMAP - Class in jline.lib.butools.map
marginalMomentsFromMRAP(Matrix[]) - Static method in class jline.lib.butools.map.MarginalMomentsFromMRAP
marginalMomentsFromMRAP(Matrix[], int) - Static method in class jline.lib.butools.map.MarginalMomentsFromMRAP
marginalMomentsFromMRAP(Matrix[], int, double) - Static method in class jline.lib.butools.map.MarginalMomentsFromMRAP: Overload for Matrix[].
marginalMomentsFromMRAP(MatrixCell) - Static method in class jline.lib.butools.map.MarginalMomentsFromMRAP
marginalMomentsFromMRAP(MatrixCell, int) - Static method in class jline.lib.butools.map.MarginalMomentsFromMRAP
marginalMomentsFromMRAP(MatrixCell, int, double) - Static method in class jline.lib.butools.map.MarginalMomentsFromMRAP: Returns the moments of the marginal distribution of a continuous marked rational arrival process.
MarginalMomentsFromMRAP - Class in jline.lib.butools.map
marginalMomentsFromRAP(Matrix, Matrix) - Static method in class jline.lib.butools.map.MarginalMomentsFromMAP
marginalMomentsFromRAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.map.MarginalMomentsFromMAP: Returns the moments of the marginal distribution of a rational arrival process.
marginalMomentsFromTrace(double[]) - Static method in class jline.lib.butools.trace.MarginalMomentsFromTrace
marginalMomentsFromTrace(double[], int) - Static method in class jline.lib.butools.trace.MarginalMomentsFromTrace: Returns the marginal moments of a trace.
MarginalMomentsFromTrace - Class in jline.lib.butools.trace
marginalMomentsFromWeightedTrace(double[], double[]) - Static method in class jline.lib.butools.trace.MarginalMomentsFromTrace
marginalMomentsFromWeightedTrace(double[], double[], int) - Static method in class jline.lib.butools.trace.MarginalMomentsFromTrace: Returns the marginal moments of a weighted trace.
MarginalResult(double, long, long) - Constructor for class jline.lib.perm.NetworkNoThink.MarginalResult
mark - Variable in class jline.api.mam.Mmap_sample.MarkedSample
Marked - Class in jline.lang.processes: An abstract class for marked point processes
Marked(String, int) - Constructor for class jline.lang.processes.Marked
markedClasses - Variable in class jline.lang.nodes.Source
MarkedMAP - Class in jline.lang.processes: A Marked Markovian Arrival Process
MarkedMAP() - Constructor for class jline.lang.processes.MarkedMAP
MarkedMAP(MatrixCell) - Constructor for class jline.lang.processes.MarkedMAP: Constructs a MarkedMAP from a MatrixCell, normalizing it to the M3A layout {D0, D1_agg, D11, ..., D1K} used throughout the mam API (mmap_sample, mmap_normalize, mmap_super) and by Marked.D(1,k).
MarkedMAP(MatrixCell, int) - Constructor for class jline.lang.processes.MarkedMAP: Constructs a MarkedMAP with an explicit number of arrival types, mirroring MATLAB MarkedMAP(D,K): K == size-2 means the cell is already in M3A layout {D0, D1_agg, D11..D1K}; K == size-1 means the cell is {D0, D11..D1K} and the aggregate is inserted at index 1.
MarkedMarkovProcess - Class in jline.lang.processes: A class for continuous time Markov chain where transitions are labeled
MarkedMarkovProcess(Matrix, MatrixCell, List<Map<String, Object>>) - Constructor for class jline.lang.processes.MarkedMarkovProcess: Creates a MarkedCTMC with the specified generator, event filters, and events
MarkedMarkovProcess(Matrix, MatrixCell, List<Map<String, Object>>, boolean) - Constructor for class jline.lang.processes.MarkedMarkovProcess: Creates a MarkedCTMC with the specified generator, event filters, events, and finite flag
MarkedMarkovProcess(Matrix, MatrixCell, List<Map<String, Object>>, boolean, Matrix) - Constructor for class jline.lang.processes.MarkedMarkovProcess: Creates a MarkedCTMC with the specified generator, event filters, events, finite flag, and state space
MarkedMMPP - Class in jline.lang.processes: A Marked Markov-Modulated Poisson Process (M3PP)
MarkedMMPP() - Constructor for class jline.lang.processes.MarkedMMPP
MarkedMMPP(MatrixCell) - Constructor for class jline.lang.processes.MarkedMMPP
markedProcess - Variable in class jline.lang.nodes.Source
markidx - Variable in class jline.lang.NetworkStruct
marking - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
markingOrders(int, int) - Static method in class jline.api.mam.Mmap3k_fit: (backward, forward) orders of an independent characteristic set.
markingVar - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
MarkovChain - Class in jline.lang.processes: A class for a discrete time Markov chain
MarkovChain - Class in jline.lib.kpctoolbox: Facade class for Markov Chain functions.
MarkovChain(Matrix) - Constructor for class jline.lang.processes.MarkovChain: Creates a DTMC with the specified transition matrix
MarkovChain(Matrix, boolean) - Constructor for class jline.lang.processes.MarkovChain: Creates a DTMC with the specified transition matrix and finite flag
markovian - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
markovian - Variable in class jline.api.spn.Spn_lpbnd.SpnLpOptions: true (default) uses the second-moment, covariance and Little's law families, which need exponential firing times; false drops them and the whole y block, leaving the operational bound, which needs only a mean firing time and so admits any phase-type law.
Markovian - Class in jline.lang.processes: An abstract class for a Markovian distribution
Markovian(String, int) - Constructor for class jline.lang.processes.Markovian: Creates a new Markovian distribution with the specified name and parameter count.
MarkovianRepresentation - Class in jline.lib.butools.reptrans: Result class for ExtendToMarkovian.
MarkovianRepresentation(Matrix, Matrix) - Constructor for class jline.lib.butools.reptrans.MarkovianRepresentation
MarkovModulated - Class in jline.lang.processes: An abstract class for a Markov-modulated point-process
MarkovModulated(String, int) - Constructor for class jline.lang.processes.MarkovModulated
MarkovProcess - Class in jline.lang.processes: A class for a continuous time Markov chain
MarkovProcess(Matrix) - Constructor for class jline.lang.processes.MarkovProcess: Creates a CTMC with the specified infinitesimal generator
MarkovProcess(Matrix, boolean) - Constructor for class jline.lang.processes.MarkovProcess: Creates a CTMC with the specified infinitesimal generator and finite flag
MarkovProcess(Matrix, boolean, Matrix) - Constructor for class jline.lang.processes.MarkovProcess: Creates a CTMC with the specified infinitesimal generator, finite flag, and state space
mas - Variable in class jline.util.ode.Rodas.Options
mass0 - Variable in class jline.lib.butools.mam.FluidSolve.FluidSolution
masses - Variable in class jline.lib.butools.mam.LevelDependentFluidSolution
matches(int) - Method in class jline.lang.constant.BalkingThreshold: Check if a given queue length falls within this threshold's range.
matchrow(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Returns the index of the row in the matrix that exactly matches the given row vector.
matchRow(List<int[]>, int[]) - Static method in class jline.util.Maths: Finds the index of a matching row in a list.
MatFileUtils - Class in jline.util: Utility class for saving matrices and workspaces to MATLAB .mat files using the MFL (MATLAB File Library) for Java.
MatFileUtils() - Constructor for class jline.util.MatFileUtils
Maths - Class in jline.util: Mathematical functions and utilities.
Maths() - Constructor for class jline.util.Maths
Maths.laplaceApproxComplexReturn - Class in jline.util
Maths.laplaceApproxReturn - Class in jline.util
Maths.simplexQuadResult - Class in jline.util
matrix - Variable in class jline.lib.perm.PermSolver
Matrix - Class in jline.util.matrix: A sparse matrix data structure supporting linear algebra functions similar to those available in MATLAB.
Matrix(double[]) - Constructor for class jline.util.matrix.Matrix: Creates a column vector from a double array.
Matrix(double[][]) - Constructor for class jline.util.matrix.Matrix: Creates a matrix from a 2D double array.
Matrix(int[]) - Constructor for class jline.util.matrix.Matrix: Creates a column vector from an integer array.
Matrix(int, int) - Constructor for class jline.util.matrix.Matrix: Creates a sparse matrix with the specified dimensions.
Matrix(int, int, int) - Constructor for class jline.util.matrix.Matrix: Creates a sparse matrix with the specified dimensions and capacity.
Matrix(Double[][]) - Constructor for class jline.util.matrix.Matrix: Creates a matrix from a row-array of double arrays.
Matrix(String) - Constructor for class jline.util.matrix.Matrix: Parse matrix from string in MATLAB or Python formats MATLAB format assumes commas between row elements and semicolon between rows
Matrix(ArrayList<List<Double>>) - Constructor for class jline.util.matrix.Matrix
Matrix(List<Double>) - Constructor for class jline.util.matrix.Matrix
Matrix(Matrix) - Constructor for class jline.util.matrix.Matrix: Creates a copy of the specified matrix.
Matrix(DMatrix) - Constructor for class jline.util.matrix.Matrix: Creates a matrix from an EJML DMatrix (sparse).
Matrix(DMatrixRMaj) - Constructor for class jline.util.matrix.Matrix: Creates a matrix from an EJML DMatrixRMaj (dense).
Matrix(SimpleMatrix) - Constructor for class jline.util.matrix.Matrix
matrixAddVector(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Adds a vector to each row or column of the matrix, depending on the vector's orientation.
MatrixCell - Class in jline.util.matrix: An ordered collection of Matrix objects that provides indexing and manipulation operations.
MatrixCell() - Constructor for class jline.util.matrix.MatrixCell: Creates an empty MatrixCell with no initial capacity constraints.
MatrixCell(int) - Constructor for class jline.util.matrix.MatrixCell: Creates an empty MatrixCell with a specified initial capacity.
MatrixCell(Matrix[]) - Constructor for class jline.util.matrix.MatrixCell: Creates a MatrixCell from an array of matrices.
MatrixCell(MatrixCell) - Constructor for class jline.util.matrix.MatrixCell: Creates a deep copy of another MatrixCell.
MatrixCell(Matrix, Matrix) - Constructor for class jline.util.matrix.MatrixCell: Creates a MatrixCell containing exactly two matrices.
MatrixEntry - Class in jline.util.matrix: A (row, column, value) triple returned by BaseMatrix.nonZeroIterator().
MatrixEntry() - Constructor for class jline.util.matrix.MatrixEntry
MatrixEquation - Class in jline.util.matrix: A wrapper class that extends EJML's Equation functionality to work seamlessly with jline.util.matrix.Matrix objects.
MatrixEquation() - Constructor for class jline.util.matrix.MatrixEquation: Creates a new MatrixEquation with an empty equation context.
MatrixEquation(Object...) - Constructor for class jline.util.matrix.MatrixEquation: Creates a new MatrixEquation and immediately aliases the provided variables.
MatrixEquation(Equation) - Constructor for class jline.util.matrix.MatrixEquation: Creates a MatrixEquation wrapping an existing EJML Equation.
matrixExp(Matrix) - Static method in class jline.util.Maths: Adapted from jblas and IHMC Original documentation:
MatrixMethodAnalyzer - Class in jline.solvers.fluid.analyzers
MatrixMethodAnalyzer() - Constructor for class jline.solvers.fluid.analyzers.MatrixMethodAnalyzer
MatrixMethodODE - Class in jline.solvers.fluid.handlers
MatrixMethodODE(Matrix, Matrix, Matrix, Matrix, Matrix, int, boolean[]) - Constructor for class jline.solvers.fluid.handlers.MatrixMethodODE
MatrixMethodODE(Matrix, Matrix, Matrix, Matrix, Matrix, int, boolean[], NetworkStruct, List<Double>) - Constructor for class jline.solvers.fluid.handlers.MatrixMethodODE
MatrixMethodODE(Matrix, Matrix, Matrix, Matrix, Matrix, int, boolean[], NetworkStruct, List<Double>, FluidStateRateMultiplier) - Constructor for class jline.solvers.fluid.handlers.MatrixMethodODE
MatrixMethodODE(Matrix, Matrix, Matrix, Matrix, Matrix, int, boolean[], FluidStateRateMultiplier) - Constructor for class jline.solvers.fluid.handlers.MatrixMethodODE
max - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
max(double, double) - Static method in class jline.util.Maths: Returns the max of two numbers.
MAX_BRANCHES - Static variable in class jline.api.fj.FJ_quorum: Largest branch count accepted by FJ_quorum.quorumKofN(jline.api.fj.FJ_quorum.StepCDF[], int).
MAX_CONFIGS - Static variable in class jline.api.mam.LdqbdMphc: The repeating level is the widest one, so it is the size worth guarding: the LD-QBD recursion inverts one matrix of that order per level.
maxAbsDiff() - Static method in class jline.api.da.Da_fpi: Max absolute elementwise difference norm for double[] iterates.
maxAbsDiff(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Computes the maximum relative absolute difference between corresponding elements of two matrices: max(abs((a - b) / b)).
maxDegree - Variable in class jline.api.spn.Spn_rec_enabled.SpnEnabling: The largest enabling degree the place bounds permit, E_j in the paper.
maxError - Variable in class jline.bench.BenchmarkRegression.RegressionComparison
maxErrorOnSum(Matrix, Matrix) - Static method in class jline.bench.BenchmarkUtils: Calculate maximum error on sum for queue length metrics Returns max absolute error relative to sum of each column Similar to MATLAB: max(abs(exact-approx))/sum(exact)
MAXEXACT - Static variable in class jline.api.fj.FJ_ordstat_exp: Branch count above which a genuine quorum leaves the exact alternating sum.
maxHoldTime - Variable in class jline.io.MAPQN2RENV.RenvImage: Longest mean stage sojourn of the environment.
MaximizePerformance - Class in jline.opt.objectives: Maximize a weighted combination of throughput, 1/response-time and 1/queue-length, subject to an optional budget constraint.
MaximizePerformance(double, double) - Constructor for class jline.opt.objectives.MaximizePerformance
MaximizePerformance(double, double, double, List<Station>, Double, Map<String, Double>) - Constructor for class jline.opt.objectives.MaximizePerformance
MaxInt - Static variable in class jline.GlobalConstants: Maximum integer value
maxiter - Variable in class jline.api.mdd.MddMcdOptions: Maximum coupled sweeps before the iteration is declared non-convergent.
maxIterAC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
maxIterations - Variable in class jline.opt.solver.LineOptSolverOptions
maxIterBC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
maxitererr - Variable in class jline.solvers.ln.SolverLN
maxmult - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
maxmult - Variable in class jline.lang.layered.LayeredNetworkStruct
maxN - Variable in class jline.io.Ret.pfqnHarelBounds: Maximum n for which UB(n) was computed
maxNumComp - Variable in class jline.lib.qmam.MAPMAP1Options
maxNumComp - Variable in class jline.lib.qmam.MAPMcOptions
maxNumComp - Variable in class jline.lib.qmam.MMAPKPHK1Options
maxNumComp - Variable in class jline.lib.qmam.PHPH1Options
maxNumComp - Variable in class jline.lib.qmam.Q_RAP_RAP_1.RAPRAP1Options
maxNumComp - Variable in class jline.lib.smc.GIM1PiOptions
maxNumIt - Variable in class jline.lib.smc.GIM1_R.GIM1ROptions
maxNumStates - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitPhOptions
maxOrder - Variable in class jline.lib.m3a.M3A.ErlangParameters
maxpos(double[]) - Static method in class jline.lib.kpctoolbox.basic.BasicUtils: Finds the position of the maximum value in a vector.
maxpos(double[], int) - Static method in class jline.lib.kpctoolbox.basic.BasicUtils: Finds the positions of the n largest values in a vector.
maxpos(Matrix) - Static method in class jline.util.Maths: Returns the position of the maximum value in a vector.
maxpos(Matrix, int) - Static method in class jline.util.Maths: Returns the positions of the n largest values in a vector.
maxRealEig - Variable in class jline.solvers.fluid.moments.FluidLyapunov.Result
maxResAC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
maxresidual - Variable in class jline.api.lqn.LqnBalanceEquations.Result: Largest absolute residual over the instantiated relations, NaN without a solution.
maxRetMAPs - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
maxRunsAC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
maxRunsBC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
maxSimEvents - Variable in class jline.solvers.ldes.LDESOptions: Maximum number of total simulation events (all types: arrivals, departures, routing, setup, etc.).
maxStates - Variable in class jline.solvers.ag.AGOptions: Truncation level of an OPEN agent's queue-length dimension.
maxStates - Variable in class jline.solvers.mam.MAMOptions
maxStates(int) - Method in class jline.solvers.ag.AGOptions
maxStates(int) - Method in class jline.solvers.mam.MAMOptions
maxTime - Variable in class jline.solvers.ldes.LDESOptions: Wall-clock time budget in seconds for the simulation.
maxWeightAssignment(Matrix) - Static method in class jline.lib.perm.PermSupport: Maximum-weight perfect assignment of a square weight matrix.
MC - Enum constant in enum jline.bench.fj.BenchFJ_Template.FJConfig
MC2 - Enum constant in enum jline.bench.fj.BenchFJ_Template.FJConfig
MC3 - Enum constant in enum jline.bench.fj.BenchFJ_Template.FJConfig
MC4 - Enum constant in enum jline.bench.fj.BenchFJ_Template.FJConfig
mcmc_batches - Variable in class jline.solvers.SolverOptions.Config
mcmc_burnin - Variable in class jline.solvers.SolverOptions.Config: Warm-up fraction the MCMC estimator discards before it starts accumulating; null keeps 0.1.
mCT() - Method in class jline.solvers.NetworkSolver
mCT(int) - Method in class jline.solvers.NetworkSolver
mCT(int[]) - Method in class jline.solvers.NetworkSolver
MDcCrommelinResult - Class in jline.api.qsys: Result of M/D/c queue analysis via Crommelin's embedded DTMC.
MDcCrommelinResult(double, double, double, double, double) - Constructor for class jline.api.qsys.MDcCrommelinResult
mdd - Variable in class jline.api.mdd.MddClosedQnResult: The MDD holding the reachable occupancy set.
mdd - Variable in class jline.api.spn.Spn_mdd.SpnInfo
mdd - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult: The reachable set as stored.
MDD - Class in jline.api.mdd: Quasi-reduced ordered Multi-valued Decision Diagram.
MDD(int[]) - Constructor for class jline.api.mdd.MDD: Create an empty set over the given per-level domains.
mdd_closedqn(double[], Matrix, double[], int) - Static method in class jline.api.mdd.Mdd_closedqn
mdd_closedqn(double[], Matrix, double[], int, MDD) - Static method in class jline.api.mdd.Mdd_closedqn
Mdd_closedqn - Class in jline.api.mdd: Exact solve of a single-class closed exponential queueing network whose CTMC state space (reachable occupancy vectors) is stored in a Multi-valued Decision Diagram instead of an explicit state list.
mdd_descriptor(double[], double[][], double[], int, MddServiceLaw[], String[]) - Static method in class jline.api.mdd.Mdd_descriptor: Build the descriptor.
Mdd_descriptor - Class in jline.api.mdd: Kronecker rate descriptor of a single-class closed queueing network.
mdd_maxiter - Variable in class jline.solvers.SolverOptions.Config: Maximum sweeps of the MDD level iteration; null keeps the Mdd_mcd default of 500.
mdd_mcd(MddStruct, MddDescriptor) - Static method in class jline.api.mdd.Mdd_mcd: Run the aggregation with the default level-iteration knobs.
mdd_mcd(MddStruct, MddDescriptor, MddMcdOptions) - Static method in class jline.api.mdd.Mdd_mcd: Approximate stationary measures by decision-diagram-guided aggregation.
Mdd_mcd - Class in jline.api.mdd: Miner-Ciardo-Donatelli approximate stationary analysis.
mdd_ps(double[], double[][], double[], int, MddServiceLaw[]) - Static method in class jline.api.mdd.Mdd_ps: Build the descriptor.
Mdd_ps - Class in jline.api.mdd: Kronecker rate descriptor for shared-server stations with phase-type service.
mdd_reachset(int[], int[], MddNextState) - Static method in class jline.api.mdd.Mdd_reachset: Generate and store the reachability set into a quasi-reduced ordered MDD.
Mdd_reachset - Class in jline.api.mdd: Reachability set generation into a decision diagram.
mdd_rec(MddStruct, double[][]) - Static method in class jline.api.mdd.Mdd_rec: The normalising constant G = sum_{s in S} prod_l g_l(s_l).
Mdd_rec - Class in jline.api.mdd: MDD-rec: the normalising constant of a product-form model whose reachable set is held in a decision diagram.
mdd_rec_marginal(MddStruct, double[][], int) - Static method in class jline.api.mdd.Mdd_rec: Unnormalised masses of {s in S : s_l = k}, one per local value k of level l.
mdd_rec_masked(MddStruct, double[][], boolean[][]) - Static method in class jline.api.mdd.Mdd_rec: Unnormalised mass of the masked subset of the reachable set (Algorithm 1).
mdd_tol - Variable in class jline.solvers.SolverOptions.Config: Convergence tolerance of the MDD level iteration (SolverCTMC method 'mdd'); null keeps the Mdd_mcd default of 1e-12.
MddClosedQnResult - Class in jline.api.mdd: Result of the MDD-stored exact closed-network solve of Mdd_closedqn.
MddClosedQnResult(MDD, Matrix, Matrix, int[][], double[], double[], double[], MddStats, double, double, double, double) - Constructor for class jline.api.mdd.MddClosedQnResult
MddDescriptor - Class in jline.api.mdd: Kronecker rate descriptor of a structured model, the input of Mdd_mcd.
MddDescriptor() - Constructor for class jline.api.mdd.MddDescriptor
MddEvent - Class in jline.api.mdd: One event of the Kronecker rate descriptor.
MddEvent(int, int, int[], MddLocalMatrix[]) - Constructor for class jline.api.mdd.MddEvent
mddInts - Variable in class jline.api.mdd.MddStats: Integers in the reachable arc arrays, the diagram footprint.
MddLocalMatrix - Class in jline.api.mdd: A local rate matrix W_k^e of the Kronecker descriptor, held row-compressed.
MddLocalMatrix.Builder - Class in jline.api.mdd: Incremental triplet builder; duplicate entries are accumulated.
MddMcdOptions - Class in jline.api.mdd: Knobs of the level iteration in Mdd_mcd.
MddMcdOptions() - Constructor for class jline.api.mdd.MddMcdOptions
MddMcdResult - Class in jline.api.mdd: Result of the Miner-Ciardo-Donatelli level aggregation.
MddMcdResult() - Constructor for class jline.api.mdd.MddMcdResult
MddNextState - Interface in jline.api.mdd: Next-state function of a structured model, over local-index tuples.
MddResult() - Constructor for class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult
mdds - Variable in class jline.api.spn.Spn_mdd.SpnResult
MddServiceLaw - Class in jline.api.mdd: Phase-type service law of one station, as a Markovian (D0,D1) pair.
MddServiceLaw(double[][], double[][]) - Constructor for class jline.api.mdd.MddServiceLaw
MddServiceLaw(double[][], double[][], double[]) - Constructor for class jline.api.mdd.MddServiceLaw
MddStats - Class in jline.api.mdd: Storage description of the set held in an MDD.
MddStats(int, int[], int, int, long, long, long) - Constructor for class jline.api.mdd.MddStats
MddStruct - Class in jline.api.mdd: Plain-array export of an MDD, the input contract of Mdd_mcd.
MddStruct(int, int[], int, int[], int[][][]) - Constructor for class jline.api.mdd.MddStruct
ME - Class in jline.lang.processes: A Matrix Exponential (ME) distribution.
ME - Enum constant in enum jline.lang.constant.ProcessType
ME(Matrix, Matrix) - Constructor for class jline.lang.processes.ME: Creates a Matrix Exponential distribution with specified initial vector and matrix parameter.
ME(Matrix, Matrix, boolean) - Constructor for class jline.lang.processes.ME: Creates a Matrix Exponential distribution, optionally skipping the density scan.
me_alpha(MatrixCell) - Static method in class jline.api.mam.Me_sample: Recovers the initial vector alpha of an ME process stored as a MatrixCell {D0 = A, D1 = -A*e*alpha}.
me_cqn(int, int, Matrix, Matrix, Matrix, Matrix[][], Matrix, int[]) - Static method in class jline.api.nc.Me_cqn
me_cqn(int, int, Matrix, Matrix, Matrix, Matrix[][], Matrix, int[], boolean[], MeOqnOptions) - Static method in class jline.api.nc.Me_cqn: Maximum Entropy algorithm for Closed Queueing Networks with discipline-aware building blocks: insens[i] marks a station with an insensitive scheduling discipline (PS, LCFS-PR), solved with the product-form mean queue length instead of the FCFS GE formula.
me_cqn(int, int, Matrix, Matrix, Matrix, Matrix[][], Matrix, int[], MeOqnOptions) - Static method in class jline.api.nc.Me_cqn: Maximum Entropy algorithm for Closed Queueing Networks.
Me_cqn - Class in jline.api.nc
me_gegecn(double, double, double, double, int, int, int) - Static method in class jline.api.nc.Me_gegecn: Solves a censored GE/GE/c/K;N queue by entropy maximisation.
Me_gegecn - Class in jline.api.nc
me_gegecn_pb(double[], int, int, int, double, double) - Static method in class jline.api.nc.Me_gegecn: Blocking probability seen by one arrival stream of a censored GE/GE/c/K;N queue, equation (4.3) of the source.
me_mean(MatrixCell) - Static method in class jline.api.mam.Me_mean: Computes the mean of a Matrix Exponential (ME) distribution using matrices stored in a MatrixCell.
me_mean(Matrix, Matrix) - Static method in class jline.api.mam.Me_mean: Computes the mean of a Matrix Exponential (ME) distribution.
Me_mean - Class in jline.api.mam: ME mean computation algorithms.
me_mqn(int, int, boolean[], Matrix, Matrix, Matrix, Matrix, Matrix, Matrix[][], Matrix, int[], boolean[], MeOqnOptions) - Static method in class jline.api.nc.Me_mqn: Maximum Entropy algorithm for Mixed Queueing Networks with discipline-aware building blocks (insens[i] true for PS/LCFS-PR).
me_mqn(int, int, boolean[], Matrix, Matrix, Matrix, Matrix, Matrix, Matrix[][], Matrix, int[], MeOqnOptions) - Static method in class jline.api.nc.Me_mqn: Maximum Entropy algorithm for Mixed Queueing Networks.
Me_mqn - Class in jline.api.nc
me_oqn(int, int, Matrix, Matrix, Matrix, Matrix, Matrix[][]) - Static method in class jline.api.nc.Me_oqn
me_oqn(int, int, Matrix, Matrix, Matrix, Matrix, Matrix[][], MeOqnOptions) - Static method in class jline.api.nc.Me_oqn
me_oqn(int, int, Matrix, Matrix, Matrix, Matrix, Matrix[][], Matrix, boolean[], MeOqnOptions) - Static method in class jline.api.nc.Me_oqn: Maximum Entropy algorithm for Open Queueing Networks with discipline-aware building blocks: insens[i] marks a station with an insensitive scheduling discipline (PS, LCFS-PR), solved with the product-form mean queue length L_r = rho_r/(1-rho) instead of the FCFS GE formula.
me_oqn(int, int, Matrix, Matrix, Matrix, Matrix, Matrix[][], Matrix, MeOqnOptions) - Static method in class jline.api.nc.Me_oqn: Maximum Entropy algorithm for Open Queueing Networks.
Me_oqn - Class in jline.api.nc
me_oqn_blk(int, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, int[]) - Static method in class jline.api.nc.Me_oqn_blk
me_oqn_blk(int, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, int[], MeOqnOptions, double) - Static method in class jline.api.nc.Me_oqn_blk: Maximum Entropy algorithm for a single-class open network with finite buffers.
Me_oqn_blk - Class in jline.api.nc
me_pie(MatrixCell) - Static method in class jline.api.mam.Me_pie: Computes the stationary initial probability for an ME/RAP distribution using matrices stored in a MatrixCell.
me_pie(Matrix, Matrix) - Static method in class jline.api.mam.Me_pie: Computes the stationary initial probability for an ME/RAP distribution.
Me_pie - Class in jline.api.mam
me_sample(MatrixCell, long, Random) - Static method in class jline.api.mam.Me_sample: Generates random samples from an ME distribution stored in a MatrixCell {D0 = A, D1 = -A*e*alpha}.
me_sample(Matrix, Matrix, long, Random) - Static method in class jline.api.mam.Me_sample: Generates random samples from a Matrix Exponential (ME) distribution by numerical inversion of its exact cumulative distribution function.
Me_sample - Class in jline.api.mam: Matrix Exponential (ME) sampling by numerical inversion of the exact CDF.
Me_sample.MeSampler - Class in jline.api.mam: Stateful ME sampler that builds the inverse-CDF table once and draws independent variates from it.
me_scv(MatrixCell) - Static method in class jline.api.mam.Me_scv: Computes the squared coefficient of variation (SCV) of an ME distribution using matrices stored in a MatrixCell.
me_scv(Matrix, Matrix) - Static method in class jline.api.mam.Me_scv: Computes the squared coefficient of variation (SCV) of a Matrix Exponential (ME) distribution.
Me_scv - Class in jline.api.mam: ME squared coefficient of variation (SCV) computation algorithms.
me_var(MatrixCell) - Static method in class jline.api.mam.Me_var: Computes the variance of a Matrix Exponential (ME) distribution using a MatrixCell.
me_var(Matrix, Matrix) - Static method in class jline.api.mam.Me_var: Computes the variance of a Matrix Exponential (ME) distribution.
Me_var - Class in jline.api.mam: ME variance computation algorithms.
ME.NegativeDensityScan - Class in jline.lang.processes: Outcome of the density scan: whether a negative value was found, and where.
mean - Variable in class jline.api.fj.FJ_tail_forktail.ResptMoments
mean - Variable in class jline.api.qsys.QsysLindleyResult: Conditional mean, one entry per supplied current waiting time.
mean - Variable in class jline.api.qsys.QsysTandemLindleyResult: Conditional mean downstream waiting time of the next customer.
mean - Variable in class jline.api.sn.SnPatienceHandles.Handles: Mean patience, infinite when no rate is on record.
mean - Variable in class jline.io.Ret.pfqnQlenMoments
mean - Variable in class jline.lang.processes.Distribution
mean - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
mean() - Method in class jline.api.fj.FJ_quorum.StepCDF: Mean of the distribution described by this CDF.
mean() - Method in class jline.lang.processes.Coxian: Property alias for getMean
mean() - Method in class jline.lang.processes.Det: Property alias for getMean
mean() - Method in class jline.lang.processes.Distribution: Property alias for getMean
mean() - Method in class jline.lang.processes.Erlang: Property alias for getMean
mean() - Method in class jline.lang.processes.Exp: Property alias for getMean
mean() - Method in class jline.lang.processes.Gamma: Property alias for getMean
mean() - Method in class jline.lang.processes.HyperExp: Property alias for getMean
mean() - Method in class jline.lang.processes.Lognormal: Property alias for getMean
mean() - Method in class jline.lang.processes.Markovian: Property alias for getMean
mean() - Method in class jline.lang.processes.Pareto: Property alias for getMean
mean() - Method in class jline.lang.processes.PH: Property alias for getMean
mean() - Method in class jline.lang.processes.Uniform: Property alias for getMean
mean() - Method in class jline.lang.processes.Weibull: Property alias for getMean
mean_service - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
meanBatchSize - Variable in class jline.solvers.mam.handlers.BMAPMAP1Result: Mean batch size
meanBatchSize - Variable in class jline.solvers.mam.handlers.MAPBMAP1Result
meanCol() - Method in class jline.util.matrix.Matrix: Computes the mean of each column.
meanCond - Variable in class jline.api.qsys.QsysMg1PsResult: Exact conditional mean x/(1-rho).
meanFieldExpansionSteadyState() - Method in class jline.lib.rmf.CacheRMF: Compute refined mean field steady-state expansion with default order=1.
meanFieldExpansionSteadyState(int) - Method in class jline.lib.rmf.CacheRMF: Compute refined mean field steady-state expansion.
meanFieldExpansionTransient() - Method in class jline.lib.rmf.CacheRMF: Compute refined mean field transient expansion with default parameters.
meanFieldExpansionTransient(double, int, int) - Method in class jline.lib.rmf.CacheRMF: Compute refined mean field transient expansion.
meanLag - Variable in class jline.api.qsys.QsysMtginfResult: E[Se] = E[S^2]/(2 ES), the time lag; NaN when ES2 was not supplied.
meanNumber - Variable in class jline.api.qsys.QsysAbandonResult: E[N], the mean number in system.
meanNumber - Variable in class jline.api.qsys.QsysFluidAbandonResult: B + Q.
meanNumber - Variable in class jline.api.qsys.QsysMtginfResult: m(t), the Poisson mean of the number in system.
meanNumberInService - Variable in class jline.api.qsys.QsysFluidAbandonResult: B = min(lambda/mu, s), in customers.
meanQ - Variable in class jline.solvers.mam.handlers.Mam_truncate_renorm.Result: mean number of jobs in system, clipped to [0, capK].
meanQueueLength - Variable in class jline.api.dqsys.Bernoulli1Result: Mean number of jobs in the system.
meanQueueLength - Variable in class jline.api.qsys.Qsys_mmck.Result: Mean number of jobs in the system, L.
meanQueueLength - Variable in class jline.api.qsys.QsysAbandonResult: E[Q] with Q = (N-s)^+, the mean number waiting.
meanQueueLength - Variable in class jline.api.qsys.QsysBmapM1Result: Mean number in system.
meanQueueLength - Variable in class jline.api.qsys.QsysFluidAbandonResult: Q = lambda * meanWait, in customers.
meanQueueLength - Variable in class jline.api.qsys.QsysMapG1kResult: E[number in system].
meanQueueLength - Variable in class jline.api.qsys.QsysMmapG1kResult: E[number in system].
meanQueueLength - Variable in class jline.solvers.mam.handlers.BMAPMAP1Result: Mean queue length E[N]
meanQueueLength - Variable in class jline.solvers.mam.handlers.MAPBMAP1Result
meanQueueLengthQ - Variable in class jline.api.qsys.Qsys_mmck.Result: Mean number waiting in queue, Lq.
meanResponseTime - Variable in class jline.solvers.mam.handlers.BMAPMAP1Result: Mean response time E[R]
meanResponseTime - Variable in class jline.solvers.mam.handlers.MAPBMAP1Result
meanRow() - Method in class jline.util.matrix.Matrix: Computes the mean of each row.
meanServiceTime - Variable in class jline.api.qsys.QsysMapG1kPerflowResult: E[service time].
meanServiceTime - Variable in class jline.api.qsys.QsysMapG1kResult: E[service time].
meanServiceTime - Variable in class jline.api.qsys.QsysMmapG1kResult: E[service time].
meanServiceTime - Variable in class jline.inference.api.VariationalResult: (P) mean service times, beta/alpha.
meanSojournTime - Variable in class jline.api.dqsys.Bernoulli1Result: Mean sojourn time in slots, by Little's law.
meanSojournTime - Variable in class jline.api.qsys.Qsys_mmck.Result: Mean sojourn time, W.
meanUncond - Variable in class jline.api.qsys.QsysMg1PsResult: Exact unconditional mean sojourn time m1/(1-rho).
meanWait - Variable in class jline.api.qsys.QsysAbandonResult: E[W] over entering customers, the zero waits included.
meanWait - Variable in class jline.api.qsys.QsysFluidAbandonResult: E[W] over all customers, int_0^w F^c(t)dt = m_a F_e(w).
meanWaitAbandon - Variable in class jline.api.qsys.QsysAbandonResult: E[W|A], the mean time in queue of a customer who abandons.
meanWaitAbandon - Variable in class jline.api.qsys.QsysFluidAbandonResult: E[patience | patience <= w].
meanWaitingQueue - Variable in class jline.api.dqsys.Bernoulli1Result: Mean number of jobs waiting, i.e.
meanWaitingTime - Variable in class jline.api.dqsys.Bernoulli1Result: Mean waiting time in slots.
meanWaitingTime - Variable in class jline.api.qsys.Qsys_mmck.Result: Mean waiting time in queue, Wq (Little's law on the effective rate).
meanWaitServed - Variable in class jline.api.qsys.QsysAbandonResult: E[W|S], the mean wait of a customer who is served.
meanWaitServed - Variable in class jline.api.qsys.QsysFluidAbandonResult: w again, the fluid wait of served customers being deterministic.
Measure(String, String, String, String, String) - Constructor for class jline.api.sym.SymEngine.Measure
measures - Variable in class jline.api.sym.SymEngine.CTMCMeasures: One entry per weight vector, in the order given
meClosed() - Method in class jline.solvers.nc.SolverNC: Maximum Entropy algorithm for Closed Queueing Networks (Kouvatsos 1994, Section 3.3): pseudo-open decomposition followed by a convolution over the population lattice, iterated on the flow (work rate) equations.
meClosed(MeOqnOptions) - Method in class jline.solvers.nc.SolverNC: Maximum Entropy algorithm for Closed Queueing Networks with custom options (Kouvatsos 1994, Section 3.3).
MeCqnResult - Class in jline.api.nc: Result of the ME closed queueing network algorithm (Kouvatsos 1994, Section 3.3).
MeCqnResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, int) - Constructor for class jline.api.nc.MeCqnResult
MEFit - Class in jline.lang.processes: Fits a matrix exponential to a given mean and squared coefficient of variation.
meFromMoments(double[]) - Static method in class jline.lib.butools.ph.MEFromMoments: Creates a matrix-exponential distribution that has the same moments as given.
MEFromMoments - Class in jline.lib.butools.ph
MeGegecnResult - Class in jline.api.nc: Solution of a censored GE/GE/c/K;N queue by entropy maximisation.
MeGegecnResult(double[], int, int, double, double, double, double) - Constructor for class jline.api.nc.MeGegecnResult
member(int[]) - Method in class jline.api.mdd.MDD: True iff state is in the set; O(K).
members - Variable in class jline.api.lqn.LqnRefRoutes.Group: Callers of this layer on the DAG, in descent order.
memBufferSize(NetworkStruct, int) - Static method in class jline.solvers.nc.SolverNC: Physical buffer size of a station in jobs, in service included: the tighter of the station capacity and the sum of the per-class capacities, infinite when the station is unbounded.
memDropRule(NetworkStruct, int) - Static method in class jline.solvers.nc.SolverNC: Drop rule declared at a station for the first class, defaulting to Drop, which is what refreshCapacity assigns to a finite buffer reachable by an open class.
memFiniteBufferPath(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.SolverNC: True when method='mem' has been requested on a model whose finite buffers MEM carries explicitly.
memGradient(double[], double[], int, int, int[], int, int[], int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi: Gradient of Mapqn_qrf_noblo_mmi.memObjective(double[], int, int, int[], int, int[], int), accumulated into grad.
memHasFiniteBuffers(NetworkStruct) - Static method in class jline.solvers.nc.SolverNC: True when the model is a single-class open network carrying a finite buffer that MEM represents explicitly, as a censored GE/GE/c/0;N queue.
meMixed() - Method in class jline.solvers.nc.SolverNC: Maximum Entropy algorithm for Mixed Queueing Networks: composition of the open (Section 3.2) and closed (Section 3.3) algorithms with product-form-style conditioning.
meMixed(MeOqnOptions) - Method in class jline.solvers.nc.SolverNC: Maximum Entropy algorithm for Mixed Queueing Networks with custom options.
memObjective(double[], int, int, int[], int, int[], int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi: Maximum-entropy objective, returned as the NEGATIVE entropy of the per-station marginals because the solver MINIMIZES and the AMPL model states it as maximize H.
MemOccNfcr - Variable in class jline.solvers.SolverResult: FCR mean memory occupation (time-average of sum of per-class classSize times in-region job count), the JMT "FCR Memory Occupation" measure [regions x classes].
memory - Variable in class jline.lib.perm.NetworkNoThink.MarginalResult
memory - Variable in class jline.lib.perm.PermSolver
MemoryGuard - Class in jline.solvers.ctmc: Hardware-aware, profiling-calibrated memory guard for SolverCTMC.
MemoryGuard.GateResult - Class in jline.solvers.ctmc: Result of a gate decision.
memUnsupportedReason(NetworkStruct) - Static method in class jline.solvers.nc.SolverNC: Returns null when the Maximum Entropy Method (Kouvatsos 1994) supports the features of the model described by sn (node types, class switching, scheduling, source presence); otherwise a message describing the first unsupported feature.
memUnsupportedReason(NetworkStruct, boolean) - Static method in class jline.solvers.nc.SolverNC: Returns null when the Maximum Entropy Method (Kouvatsos 1994) supports the features of the model described by sn; otherwise a message describing the first unsupported feature.
memUnsupportedReason(NetworkStruct, boolean, boolean) - Static method in class jline.solvers.nc.SolverNC: Feature check for the Maximum Entropy Method given the class composition of the model: hasOpen/hasClosed flag the presence of open and closed classes (both true for mixed models).
meOpen() - Method in class jline.solvers.nc.SolverNC: Maximum Entropy algorithm for Open Queueing Networks.
meOpen(MeOqnOptions) - Method in class jline.solvers.nc.SolverNC: Maximum Entropy algorithm for Open Queueing Networks with custom options.
MeOqnBlkResult - Class in jline.api.nc: Result of the ME OQN algorithm with finite buffers.
MeOqnBlkResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, int) - Constructor for class jline.api.nc.MeOqnBlkResult
MeOqnOptions - Class in jline.api.nc: Options for the ME OQN algorithm.
MeOqnOptions() - Constructor for class jline.api.nc.MeOqnOptions
MeOqnOptions(double) - Constructor for class jline.api.nc.MeOqnOptions
MeOqnOptions(double, int) - Constructor for class jline.api.nc.MeOqnOptions
MeOqnOptions(double, int, boolean) - Constructor for class jline.api.nc.MeOqnOptions
MeOqnResult - Class in jline.api.nc: Result of the ME OQN algorithm.
MeOqnResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.api.nc.MeOqnResult
MeOqnResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, int) - Constructor for class jline.api.nc.MeOqnResult
meOrder(Matrix, Matrix) - Static method in class jline.lib.butools.ph.MEOrder
meOrder(Matrix, Matrix, String) - Static method in class jline.lib.butools.ph.MEOrder
meOrder(Matrix, Matrix, String, double) - Static method in class jline.lib.butools.ph.MEOrder: Returns the order of the ME distribution (which is not necessarily equal to the size of the representation).
MEOrder - Class in jline.lib.butools.ph
meOrderFromMoments(double[]) - Static method in class jline.lib.butools.ph.MEOrderFromMoments
meOrderFromMoments(double[], double) - Static method in class jline.lib.butools.ph.MEOrderFromMoments: Returns the order of ME distribution that can realize the given moments.
MEOrderFromMoments - Class in jline.lib.butools.ph
MERepresentation - Class in jline.lib.butools.ph: Result class for MEFromMoments containing both alpha and A.
MERepresentation(Matrix, Matrix) - Constructor for class jline.lib.butools.ph.MERepresentation
merge - Variable in class jline.solvers.SolverOptions.Config: State merging strategy
merge(int, int) - Method in class jline.lang.processes.GMM: Merges two components into one using moment matching.
merge(List<Network>) - Static method in class jline.lang.Ensemble: Creates a union Network from a list of Networks.
merge(Ensemble) - Static method in class jline.lang.Ensemble: Creates a union Network from all Networks in an ensemble.
MeSampler(Matrix, Matrix) - Constructor for class jline.api.mam.Me_sample.MeSampler: Builds the inversion table for the ME representation (alpha, A).
message - Variable in class jline.cli.LineWebSocketClient: The message to be sent to the server.
message - Variable in class jline.cli.LineWebSocketServer
message - Variable in class jline.solvers.ctmc.MemoryGuard.GateResult
message - Variable in class jline.solvers.mam.handlers.PriorityAnalysis
meth - Variable in class jline.util.ode.Rodas.Options: Coefficient set: 1 (default), 2 or 3.
method - Variable in class jline.api.cache.Cache_spm_size.Result: "spm-size", "spm", "uniform-size", "lattice" or "boundary".
method - Variable in class jline.api.pfqn.ld.Pfqn_explicit_ld.Result: Expression used for g_sigma, "distinct" (Eq.
method - Variable in class jline.api.pfqn.nc.Pfqn_explicit.Result: Expression used, "distinct" (Eq.
method - Variable in class jline.api.pfqn.nc.PfqnCycletResult: Which route ran for each path: "exact" (Theorem 2) or "lt" (Theorem 1).
method - Variable in class jline.api.pfqn.PfqnResptPsResult: Per-class route taken: "exact", "asymptotic", "unavailable" or "none".
method - Variable in class jline.api.retrieval.Retrieval_rayint.Result: "saddle", "rayint" or "boundary".
method - Variable in class jline.inference.lang.EstimatorOptions
method - Variable in class jline.io.Ret.pfqnAB: Method identifier
method - Variable in class jline.io.Ret.pfqnNc
method - Variable in class jline.io.Ret.pfqnNcComplex
method - Variable in class jline.io.Ret.pfqnNcldmx
method - Variable in class jline.io.Ret.pfqnNcSym
method - Variable in class jline.io.Ret.pfqnNcXQ
method - Variable in class jline.io.Ret.pfqnSchmidt: Method identifier
method - Variable in class jline.solvers.auto.SolverCandidate: The method name to pass as a method name, e.g.
method - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
method - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
method - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
method - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
method - Variable in class jline.solvers.SolverOptions: Solution algorithm/method to use
method - Variable in class jline.solvers.SolverResult: The solution method used to compute these results
method - Variable in class jline.solvers.tr.TransformSolve.Inner: The method the inner solve reported, for compound method names.
method - Variable in class jline.solvers.tr.TransformSolve.Result
method - Variable in class jline.solvers.uq.SolverUQ.Interval: "mvainterval" or "sampled".
method(String) - Method in class jline.solvers.NetworkSolver.SolverConfigurator
method(String) - Method in class jline.solvers.SolverOptions: Sets the solution method/algorithm (builder pattern).
METHOD_ACCURATE - Static variable in class jline.solvers.auto.SolverAUTO
METHOD_BOUND - Static variable in class jline.solvers.auto.SolverAUTO
METHOD_DEFAULT - Static variable in class jline.solvers.auto.SolverAUTO
METHOD_EXACT - Static variable in class jline.solvers.auto.SolverAUTO
METHOD_FAST - Static variable in class jline.solvers.auto.SolverAUTO
METHOD_HEURISTIC - Static variable in class jline.solvers.auto.SolverAUTO
METHOD_SIM - Static variable in class jline.solvers.auto.SolverAUTO
methodAliasPrefixes(String) - Static method in class jline.solvers.auto.SolverAUTO: The prefixes under which a family advertises a SECOND SPELLING of a method it already declares plainly.
methodClass - Variable in class jline.solvers.auto.SolverCandidate: One of the four CLASS_ constants.
methodClass(String, String, boolean, boolean, boolean, boolean) - Static method in class jline.solvers.auto.SolverAUTO: What KIND of answer a method returns: exact, approx, bound or simulation.
methodDegenerate(NetworkStruct, String) - Static method in class jline.solvers.ba.SolverBA: Whether METHOD APPLIES to SN but its bound carries no information there, and why.
methodFeatureSet(String) - Static method in class jline.solvers.ag.SolverAG: Every AG method is the same decomposition differing only in how the reversed rate is read off an agent, so they share one envelope; the genuine restrictions are structural and applied in SolverAG.supportsModelMethod(String).
methodFeatureSet(String) - Static method in class jline.solvers.mam.SolverMAM: Per-method feature deltas on the base MAM envelope.
methodFeatureSet(String) - Static method in class jline.solvers.mva.SolverMVA: Per-method feature deltas applied to the base MVA envelope.
methodFeatureSet(String) - Static method in class jline.solvers.nc.SolverNC: Per-method feature deltas applied to the base NC envelope.
methodFeatureSet(NetworkStruct, String) - Static method in class jline.solvers.mva.SolverMVA: The same envelope, asked of a struct rather than of a solver instance, so that the run gate in MVARunner and the report gate in SolverMVA.getMethodFeatureSet(java.lang.String) apply ONE copy of the model-judged rule.
methodRefusal(NetworkStruct, String) - Static method in class jline.solvers.ba.SolverBA: The STRUCTURAL premises of the SolverBA bound families, in one place: the reason METHOD cannot bound the model SN, or "" when it can.
MethodStepHandler - Class in jline.solvers.fluid.handlers
MethodStepHandler(int) - Constructor for class jline.solvers.fluid.handlers.MethodStepHandler
MethodType - Class in jline.solvers: Classification of a solution method, as printed in the solver banner: <accuracy>, <randomness> with accuracy in {exact, approximate, bound} and randomness in {deterministic, randomized}.
MethodType() - Constructor for class jline.solvers.MethodType
metric - Variable in class jline.api.infer.ObsSpec
Metric - Class in jline.lang: Constants for specifying a Metric
Metric() - Constructor for class jline.lang.Metric
Metric(NamedNodeMap) - Constructor for class jline.lang.Metric
metricGroupOf(String) - Static method in class jline.solvers.auto.SolverAUTO: The measure group an accessor belongs to, "" when the name is none.
metricGroups() - Static method in class jline.solvers.auto.SolverAUTO: The measure groups SolverAUTO.findSolver() reports on, in report order.
metricKey(String, String) - Static method in class jline.opt.results.SensitivityData
metricName - Variable in class jline.streaming.SSAMetricPoint: Metric name (e.g., "queue_length", "throughput")
metrics - Variable in class jline.api.spn.Spn_pf.SpnPfResult: Filled by the caller that runs Spn_metrics on this product form.
metrics - Variable in class jline.solvers.auto.SolverCandidate: The measure groups the family answers, comma-joined.
metrics - Variable in class jline.solvers.wrappers.jmt.JMTResult
MetricsResult - Class in jline.solvers.mam.handlers
MetricsResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.solvers.mam.handlers.MetricsResult
MetricType - Enum in jline.lang.constant: Constants for specifying a type of metric
mfilename(Object) - Static method in class jline.io.InputOutput
mfq_fluflu_sojourn(Matrix, Matrix, Matrix, Matrix, boolean, boolean) - Static method in class jline.api.mam.Mfq_fluflu_sojourn: Sojourn-time distribution of a fluid queue with fluid-modulated service, as {alpha, A}.
Mfq_fluflu_sojourn - Class in jline.api.mam
mfq_ld_distr(LevelDependentFluidSolution, double[], String, double[]) - Static method in class jline.api.mam.Mfq_ld_distr: Stationary pdf/pdfd/cdf/cdfm at the requested points.
Mfq_ld_distr - Class in jline.api.mam
mfq_ld_mean(LevelDependentFluidSolution, double[]) - Static method in class jline.api.mam.Mfq_ld_mean: Stationary mean fluid level E[X].
Mfq_ld_mean - Class in jline.api.mam
mfq_ld_solve(List<Matrix>, List<Matrix>, List<Matrix>, double[], double[], double[], List<Matrix>, double) - Static method in class jline.api.mam.Mfq_ld_solve: Matrix-exponential solution of a multi-regime first/second-order fluid queue.
Mfq_ld_solve - Class in jline.api.mam
mfq_multiregime(List<Matrix>, List<double[]>, List<Matrix>, List<double[]>, double[], double[], double[]) - Static method in class jline.api.mam.Mfq_multiregime: Multi-regime feedback fluid queue; returns {pdf, pdfd, cdf, cdfm}.
Mfq_multiregime - Class in jline.api.mam
mfq_prio_queue(Matrix, Matrix, double, int[], double, int, Object...) - Static method in class jline.api.mam.Mfq_prio_queue: Performance measures of a continuous-time fluid priority queue (delegates to BUTools FluidPrioQueue).
Mfq_prio_queue - Class in jline.api.mam
mfq_sojourn(Matrix, Matrix, Matrix, Matrix, boolean) - Static method in class jline.api.mam.Mfq_sojourn: Sojourn-time distribution as {alpha, A} (ME if transToPH=false, PH otherwise).
Mfq_sojourn - Class in jline.api.mam
MFQAnalyzer - Class in jline.solvers.fluid.analyzers: MFQ (Markovian Fluid Queue) analyzer for single-queue open systems.
MFQAnalyzer() - Constructor for class jline.solvers.fluid.analyzers.MFQAnalyzer
mfqNotApplicableReason(NetworkStruct) - Static method in class jline.solvers.fluid.analyzers.MFQAnalyzer: The reason MFQ cannot run on this model, or null when it can.
mg1_cr(Matrix) - Static method in class jline.lib.smc.MG1_pi: Computes the G matrix using Cyclic Reduction for M/G/1-type Markov Chains.
mg1_cr(Matrix, MG1CROptions) - Static method in class jline.lib.smc.MG1_pi
mg1_decay(Matrix) - Static method in class jline.lib.smc.MG1_Decay
mg1_decay(Matrix, boolean) - Static method in class jline.lib.smc.MG1_Decay: Computes the decay rate of a recurrent M/G/1 type Markov chain.
MG1_Decay - Class in jline.lib.smc
mg1_dt_queue(MatrixCell, MatrixCell, int, boolean) - Static method in class jline.api.mam.Mg1_dt_queue
Mg1_dt_queue - Class in jline.api.mam: Discrete-time single-server queue with batch DMAP arrivals, DBMAP/DMAP/1.
Mg1_dt_queue.Result - Class in jline.api.mam: Queue length, utilization, throughput, pmf and departure process.
mg1_eg(Matrix) - Static method in class jline.lib.smc.MG1_EG
mg1_eg(Matrix, boolean) - Static method in class jline.lib.smc.MG1_EG: Determines G directly if rank(A0)=1 for M/G/1-type Markov chains.
MG1_EG - Class in jline.lib.smc
MG1_ETAQA - Class in jline.lib.smc
MG1_ETAQA.ETAQAResult - Class in jline.lib.smc: Result of ETAQA computation containing aggregated probabilities.
mg1_fi(Matrix) - Static method in class jline.lib.smc.MG1_FI
mg1_fi(Matrix, MG1FIOptions) - Static method in class jline.lib.smc.MG1_FI: Functional Iterations for M/G/1-Type Markov Chains.
MG1_FI - Class in jline.lib.smc
mg1_g_etaqa(Matrix) - Static method in class jline.lib.smc.MG1_ETAQA: Computes the G matrix for M/G/1-type Markov chains.
mg1_pi(Matrix, Matrix) - Static method in class jline.lib.smc.MG1_pi
mg1_pi(Matrix, Matrix, MG1PiOptions) - Static method in class jline.lib.smc.MG1_pi: Stationary vector of an M/G/1-type chain by the stable Ramaswami formula.
MG1_pi - Class in jline.lib.smc
mg1_pi_etaqa(Matrix, Matrix) - Static method in class jline.lib.smc.MG1_ETAQA
mg1_pi_etaqa(Matrix, Matrix, Matrix) - Static method in class jline.lib.smc.MG1_ETAQA
mg1_pi_etaqa(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.smc.MG1_ETAQA: Computes the aggregated stationary probability vector for an M/G/1-type Markov chain using the ETAQA method.
mg1_qlen_etaqa(Matrix, Matrix, Matrix, int) - Static method in class jline.lib.smc.MG1_ETAQA: Computes the n-th moment of the level (the queue length) of an M/G/1-type chain from the ETAQA aggregates.
mg1_shifts(Matrix) - Static method in class jline.lib.smc.MG1_Shifts
mg1_shifts(Matrix, String) - Static method in class jline.lib.smc.MG1_Shifts: Applies the shift technique to an M/G/1-type block matrix.
MG1_Shifts - Class in jline.lib.smc
MG1CROptions - Class in jline.lib.smc: Options for MG1_CR solver.
MG1CROptions() - Constructor for class jline.lib.smc.MG1CROptions
MG1CROptions(String, int, int, double, int, String) - Constructor for class jline.lib.smc.MG1CROptions
MG1DecayResult - Class in jline.lib.smc: Result of MG1 Decay computation.
MG1DecayResult(double, Matrix) - Constructor for class jline.lib.smc.MG1DecayResult
MG1FIOptions - Class in jline.lib.smc
MG1FIOptions() - Constructor for class jline.lib.smc.MG1FIOptions
MG1FIOptions(int) - Constructor for class jline.lib.smc.MG1FIOptions
MG1FIOptions(String, int, int) - Constructor for class jline.lib.smc.MG1FIOptions
MG1FIOptions(String, int, int, String, Matrix, int[]) - Constructor for class jline.lib.smc.MG1FIOptions
mg1FundamentalMatrix(List<Matrix>) - Static method in class jline.lib.butools.mam.MG1FundamentalMatrix
mg1FundamentalMatrix(List<Matrix>, double) - Static method in class jline.lib.butools.mam.MG1FundamentalMatrix
mg1FundamentalMatrix(List<Matrix>, double, int) - Static method in class jline.lib.butools.mam.MG1FundamentalMatrix
mg1FundamentalMatrix(List<Matrix>, double, int, MG1FundamentalMatrix.MG1Method) - Static method in class jline.lib.butools.mam.MG1FundamentalMatrix: Returns matrix G corresponding to the M/G/1 type Markov chain defined by matrices A.
MG1FundamentalMatrix - Class in jline.lib.butools.mam
MG1FundamentalMatrix.MG1Method - Enum in jline.lib.butools.mam: Method for solving M/G/1 type matrix equation.
MG1PiOptions - Class in jline.lib.smc: Options for MG1_pi solver.
MG1PiOptions() - Constructor for class jline.lib.smc.MG1PiOptions
MG1PiOptions(int) - Constructor for class jline.lib.smc.MG1PiOptions
MG1PiOptions(int, boolean) - Constructor for class jline.lib.smc.MG1PiOptions
MG1PiOptions(Matrix, int, int, String, boolean, String) - Constructor for class jline.lib.smc.MG1PiOptions
mg1StationaryDistr(List<Matrix>) - Static method in class jline.lib.butools.mam.MG1StationaryDistr
mg1StationaryDistr(List<Matrix>, List<Matrix>) - Static method in class jline.lib.butools.mam.MG1StationaryDistr
mg1StationaryDistr(List<Matrix>, List<Matrix>, Matrix) - Static method in class jline.lib.butools.mam.MG1StationaryDistr
mg1StationaryDistr(List<Matrix>, List<Matrix>, Matrix, int) - Static method in class jline.lib.butools.mam.MG1StationaryDistr
mg1StationaryDistr(List<Matrix>, List<Matrix>, Matrix, int, double) - Static method in class jline.lib.butools.mam.MG1StationaryDistr: Returns the stationary distribution of the M/G/1 type Markov chain up to a given level K.
mg1StationaryDistr(Matrix[]) - Static method in class jline.lib.butools.mam.MG1StationaryDistr
mg1StationaryDistr(Matrix[], Matrix[]) - Static method in class jline.lib.butools.mam.MG1StationaryDistr
mg1StationaryDistr(Matrix[], Matrix[], Matrix) - Static method in class jline.lib.butools.mam.MG1StationaryDistr
mg1StationaryDistr(Matrix[], Matrix[], Matrix, int) - Static method in class jline.lib.butools.mam.MG1StationaryDistr
mg1StationaryDistr(Matrix[], Matrix[], Matrix, int, double) - Static method in class jline.lib.butools.mam.MG1StationaryDistr: Overload accepting Matrix[] for A and B.
MG1StationaryDistr - Class in jline.lib.butools.mam
mgFromMoments(double[]) - Static method in class jline.lib.butools.dph.MGFromMoments: Creates a matrix-geometric distribution that has the same moments as given.
MGFromMoments - Class in jline.lib.butools.dph
MGFromMoments.MGRepresentation - Class in jline.lib.butools.dph: Result class for MGFromMoments containing both alpha and A.
MGRepresentation(Matrix, Matrix) - Constructor for class jline.lib.butools.dph.MGFromMoments.MGRepresentation
MI - Variable in class jline.api.cache.CacheMissFpiResult
min - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
min(double, double) - Static method in class jline.util.Maths: Returns the min of two numbers.
minAbsEig(Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Minimum modulus of the eigenvalues of M.
minClosure(double, double, double) - Static method in class jline.solvers.fluid.moments.FluidClosures: Specialisation of FluidClosures.minClosure(double, double, double, double, double) to a deterministic second argument.
minClosure(double, double, double, double, double) - Static method in class jline.solvers.fluid.moments.FluidClosures: Min-normal moment closure of E[min(X,Y)] for jointly normal X, Y, mirroring MATLAB fluid_min_closure.
minClosure(double, double, double, double, double) - Static method in class jline.solvers.fluid.petri.PetriClosures: E[min(X,Y)] and dE/dE[X] for jointly normal X, Y.
minExact - Variable in class jline.solvers.fluid.moments.FluidMomentTerms: Stations whose occupancy cannot reach their server count, where min(n,c) is the identity and the Gaussian closure must stay first order.
minExactMom - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitPhOptions
MINIMAL - Enum constant in enum jline.api.sn.ValidationLevel: Minimal validation - only basic bounds checking.
minimalRepFromME(Matrix, Matrix) - Static method in class jline.lib.butools.ph.MinimalRepFromME
minimalRepFromME(Matrix, Matrix, String) - Static method in class jline.lib.butools.ph.MinimalRepFromME
minimalRepFromME(Matrix, Matrix, String, double) - Static method in class jline.lib.butools.ph.MinimalRepFromME: Returns the minimal representation of the given ME distribution.
MinimalRepFromME - Class in jline.lib.butools.ph
minimalRepFromMRAP(Matrix[], String, double) - Static method in class jline.lib.butools.map.MinimalRepFromMRAP: Overload for Matrix[].
minimalRepFromMRAP(MatrixCell) - Static method in class jline.lib.butools.map.MinimalRepFromMRAP
minimalRepFromMRAP(MatrixCell, String) - Static method in class jline.lib.butools.map.MinimalRepFromMRAP
minimalRepFromMRAP(MatrixCell, String, double) - Static method in class jline.lib.butools.map.MinimalRepFromMRAP: Returns the minimal representation of a marked rational arrival process.
MinimalRepFromMRAP - Class in jline.lib.butools.map
minimalRepFromRAP(Matrix, Matrix) - Static method in class jline.lib.butools.map.MinimalRepFromRAP
minimalRepFromRAP(Matrix, Matrix, String) - Static method in class jline.lib.butools.map.MinimalRepFromRAP
minimalRepFromRAP(Matrix, Matrix, String, double) - Static method in class jline.lib.butools.map.MinimalRepFromRAP: Returns the minimal representation of a rational arrival process.
MinimalRepFromRAP - Class in jline.lib.butools.map
MinimizeCost - Class in jline.opt.objectives: Minimize infrastructure cost subject to service-level constraints.
MinimizeCost(Map<Station, Double>, Map<Station, Double>, Map<Station, Double>, List<Constraint>) - Constructor for class jline.opt.objectives.MinimizeCost
MinimizeSystemResponseTime - Class in jline.opt.objectives: Minimize the end-to-end (system) response time.
MinimizeSystemResponseTime() - Constructor for class jline.opt.objectives.MinimizeSystemResponseTime
MinimizeSystemResponseTime(String, List<Constraint>) - Constructor for class jline.opt.objectives.MinimizeSystemResponseTime
MinimizeSystemResponseTime(JobClass) - Constructor for class jline.opt.objectives.MinimizeSystemResponseTime
miniter - Variable in class jline.api.da.Da_fpi.Options
minMultiClosure(double[], Matrix, double) - Static method in class jline.solvers.fluid.petri.PetriClosures: Min-normal closure of E[min(X_1,...,X_A,c)] by Clark's recursion.
MinNormalAnalyzer - Class in jline.solvers.fluid.analyzers: Second-order moment-closure fluid analysis, backing options.method='minnormal'.
MinNormalAnalyzer() - Constructor for class jline.solvers.fluid.analyzers.MinNormalAnalyzer
minNumStates - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitPhOptions
minpos(double[]) - Static method in class jline.lib.kpctoolbox.basic.BasicUtils: Finds the position of the minimum value in a vector.
minpos(double[], int) - Static method in class jline.lib.kpctoolbox.basic.BasicUtils: Finds the positions of the n smallest values in a vector.
minpos(Matrix) - Static method in class jline.util.Maths: Returns the position of the minimum value in a vector.
minpos(Matrix, int) - Static method in class jline.util.Maths: Returns the positions of the n smallest values in a vector.
missaidx - Variable in class jline.lang.layered.LayeredNetworkStruct
missclass - Variable in class jline.lang.nodeparam.CacheNodeParam: Job class routing matrix for cache misses [items x classes]
missClass - Variable in class jline.lang.sections.CacheClassSwitcher
missingRoutes() - Method in class jline.api.sym.SageRestEngine: Names the routes this client needs that the service does not serve.
missprob - Variable in class jline.api.da.Da_cacheqn_retrieval.Result
missprob - Variable in class jline.solvers.CacheResultRecord: Actual miss probability per read class [1 x classes], or null.
missprob - Variable in class jline.solvers.fluid.analyzers.CacheTranResult: Per-cache per-class miss-probability trajectory (ncaches x K x nt).
missProb - Variable in class jline.solvers.fluid.FluidResult: Cache miss probabilities [nodes x classes] from cacheqn analysis
missProb - Variable in class jline.solvers.mva.MVAResult: Cache miss probabilities [items x classes] (used by cache analyzers)
missProb - Variable in class jline.solvers.nc.NCResult
missProb(double[]) - Method in class jline.lib.rmf.CacheFIFORMF: Per-item out-of-cache (miss) probability of a state vector.
missProb(double[]) - Method in class jline.lib.rmf.CachePosGraphRMF
missProb(double[]) - Method in class jline.lib.rmf.CacheSFIFORMF: Per-item out-of-cache (miss) probability at the fixed point.
missrate - Variable in class jline.api.cache.CacheRrmMeanfieldResult: lambda' * x(:,0).
missRate(Matrix[], double[]) - Static method in class jline.api.cache.CacheSojourn: Per-user miss rate MU(v) = sum_i lambda_v(i) pi0(i) of a per-item out-of-cache probability pi0, the same functional as the transient MU_t, which is affine in the occupancy.
missratio - Variable in class jline.api.cache.CacheRrmMeanfieldResult: missrate / sum(lambda).
MixedExamples - Class in jline.examples.java.basic: Mixed queueing network examples mirroring the example notebooks in mixedQN.
MixedExamples() - Constructor for class jline.examples.java.basic.MixedExamples
MixedModel - Class in jline.examples.java.basic: Examples of mixed queueing networks
MixedModel() - Constructor for class jline.examples.java.basic.MixedModel
mixture(GMM, GMM, double, double) - Static method in class jline.lang.processes.GMM: Creates a mixture of two GMMs with specified weights.
mK - Variable in class jline.api.fj.CharMaxResult
mK - Variable in class jline.api.fj.FJ_charmax_ext.FJCharMaxBlomResult
mK - Variable in class jline.api.fj.FJ_charmax_ext.FJCharMaxDiscreteResult
MK - Variable in class jline.api.fj.CharMaxResult
MK - Variable in class jline.api.fj.FJ_charmax_ext.FJCharMaxDiscreteResult
MK - Variable in class jline.api.fj.FJ_xmax.FJXmaxParetoResult
mljac - Variable in class jline.util.ode.Rodas.Options: Lower bandwidth of the Jacobian; n means full.
mlmas - Variable in class jline.util.ode.Rodas.Options: Lower bandwidth of the mass matrix; n means full.
MM - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
MM - Variable in class jline.solvers.QrfParams: (MR x .) blocking order, 1-based; only column 0 is read, the head that takes f's freed slot.
mm1() - Static method in class jline.examples.java.advanced.FCRegionModel: Simple M/M/1 without FCR (for comparison).
MM1 - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
MM1 - Variable in class jline.solvers.QrfParams: (MR x M) successor map: MM1(m,j) is the configuration reached when queue j becomes blocked.
mm1k() - Static method in class jline.examples.java.advanced.FCRegionModel: M/M/1/K using queue capacity (K=3, for comparison).
mmap - Variable in class jline.api.mam.Mamap2m_fit_fb_multiclass.FitResult
mmap - Variable in class jline.api.mam.Mmap2k_fit.Result
mmap - Variable in class jline.api.mam.Mmap3k_fit.Result
MMAP - Class in jline.lang.processes: A Marked Markovian Arrival Process (MMAP) MMAP is a point process where arrivals are categorized into K different types (marks).
MMAP - Enum constant in enum jline.lang.constant.ProcessType
MMAP - Variable in class jline.io.Ret.mamMMAPMixtureFit
MMAP() - Constructor for class jline.lang.processes.MMAP: Default constructor creating an empty MMAP
MMAP(MatrixCell) - Constructor for class jline.lang.processes.MMAP: Construct an MMAP from a MatrixCell.
MMAP(Matrix, Matrix...) - Constructor for class jline.lang.processes.MMAP: Construct an MMAP from D0 and a variable number of per-type matrices.
mmap_backward_moment(MatrixCell, Matrix) - Static method in class jline.api.mam.Mmap_backward_moment
mmap_backward_moment(MatrixCell, Matrix, int) - Static method in class jline.api.mam.Mmap_backward_moment: Computes the backward moments of an MMAP for specified orders with normalization.
Mmap_backward_moment - Class in jline.api.mam
mmap_compress(Matrix[]) - Static method in class jline.api.mam.Mmap_compress
mmap_compress(Matrix[], String) - Static method in class jline.api.mam.Mmap_compress
Mmap_compress - Class in jline.api.mam: Compresses an MMAP using various approximation methods.
Mmap_compress.MmapCompressAlgo - Class in jline.api.mam: MMAP compress algorithms.
mmap_count_idc(MatrixCell, double) - Static method in class jline.api.mam.Mmap_count_idc: Computes the index of dispersion for counts (IDC) for a Markovian Arrival Process with marked arrivals (MMAP) over a time period.
Mmap_count_idc - Class in jline.api.mam
mmap_count_lambda(MatrixCell) - Static method in class jline.api.mam.Mmap_count_lambda: Computes the arrival rate vector of the counting process for the given Marked MAP (MMAP).
Mmap_count_lambda - Class in jline.api.mam
mmap_count_mcov(Matrix[], double) - Static method in class jline.api.mam.Mmap_count_mcov: Array-based overload.
mmap_count_mcov(MatrixCell, double) - Static method in class jline.api.mam.Mmap_count_mcov: Computes the count covariance between each pair of classes at a given time scale.
Mmap_count_mcov - Class in jline.api.mam
mmap_count_mean(MatrixCell, double) - Static method in class jline.api.mam.Mmap_count_mean: Computes the mean count vector of events of different types in a Markovian Arrival Process with marked arrivals (MMAP) over a time period.
Mmap_count_mean - Class in jline.api.mam
mmap_count_moment(MatrixCell, double, int[]) - Static method in class jline.api.mam.Mmap_count_moment: Per-class power moments of counts, at resolution t, of a Marked MAP.
Mmap_count_moment - Class in jline.api.mam
mmap_count_var(MatrixCell, double) - Static method in class jline.api.mam.Mmap_count_var: Computes the variance of the count vector of events of different types in a MMAP over a time period.
Mmap_count_var - Class in jline.api.mam
mmap_cross_modulate(MatrixCell, MatrixCell) - Static method in class jline.api.mam.Mmap_modulate: Cross-modulation between two MMAPs with default strength 0.5.
mmap_cross_modulate(MatrixCell, MatrixCell, double) - Static method in class jline.api.mam.Mmap_modulate: Cross-modulation between two MMAPs.
mmap_cross_moment(MatrixCell, int) - Static method in class jline.api.mam.Mmap_cross_moment: Computes the k-th cross-moment matrix for a given MMAP.
Mmap_cross_moment - Class in jline.api.mam
mmap_embedded(MatrixCell) - Static method in class jline.api.mam.Mmap_embedded: Computes the embedded chain of an MMAP.
Mmap_embedded - Class in jline.api.mam
mmap_exponential(Matrix) - Static method in class jline.api.mam.Mmap_exponential: Fits a single-state MMAP based on the given arrival rates for each job class.
mmap_exponential(Matrix, int) - Static method in class jline.api.mam.Mmap_exponential: Fits an order-n MMAP based on the given arrival rates for each job class.
Mmap_exponential - Class in jline.api.mam
mmap_forward_moment(MatrixCell, Matrix) - Static method in class jline.api.mam.Mmap_forward_moment
mmap_forward_moment(MatrixCell, Matrix, int) - Static method in class jline.api.mam.Mmap_forward_moment: Computes the forward moments of an MMAP for specified orders with normalization.
Mmap_forward_moment - Class in jline.api.mam
mmap_hide(MatrixCell, Matrix) - Static method in class jline.api.mam.Mmap_hide: Hides specified types of arrivals in a Markovian Arrival Process with marked arrivals (MMAP).
Mmap_hide - Class in jline.api.mam
mmap_idc(MatrixCell) - Static method in class jline.api.mam.Mmap_idc: Computes the asymptotic index of dispersion for counts (IDC) for a Markovian Arrival Process with marked arrivals (MMAP).
Mmap_idc - Class in jline.api.mam
mmap_isfeasible(MatrixCell) - Static method in class jline.api.mam.Mmap_isfeasible: Checks the feasibility of a Markovian Arrival Process with marked arrivals (MMAP).
Mmap_isfeasible - Class in jline.api.mam
mmap_issym(MatrixCell) - Static method in class jline.api.mam.Mmap_issym
mmap_issym(MatrixCell, double) - Static method in class jline.api.mam.Mmap_issym: Checks if an MMAP is symmetric.
Mmap_issym - Class in jline.api.mam
mmap_lambda(MatrixCell) - Static method in class jline.api.mam.Mmap_lambda: Alias for mmap_count_lambda.
Mmap_lambda - Class in jline.api.mam: MMAP arrival rate computation algorithms.
mmap_maps(MatrixCell) - Static method in class jline.api.mam.Mmap_maps: Extracts K Markovian Arrival Processes (MAPs) from a given MMAP, one for each class.
Mmap_maps - Class in jline.api.mam
mmap_mark(MatrixCell, Matrix) - Static method in class jline.api.mam.Mmap_mark: Converts a Markovian Arrival Process with marked arrivals (MMAP) into a new MMAP with redefined classes based on a given probability matrix.
Mmap_mark - Class in jline.api.mam
mmap_max(MatrixCell, MatrixCell, int) - Static method in class jline.api.mam.Mmap_max: Computes the MMAP representing the maximum of two MMAPs, synchronizing through a queue of length k.
Mmap_max - Class in jline.api.mam: MMAP of the maximum of two independent marked arrival flows, as used to synchronize sibling branches at a fork-join Join node.
mmap_max_multiple(List<MatrixCell>, int) - Static method in class jline.api.mam.Mmap_max: Iteratively synchronizes a list of MMAPs through a queue of length k.
mmap_mixture(Matrix, Map<Integer, MatrixCell>) - Static method in class jline.api.mam.Mmap_mixture: Creates a mixture of MMAPs using the given weights (alpha) and MAPs.
Mmap_mixture - Class in jline.api.mam
mmap_mixture_fit(Object, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Mmap_mixture_fit: Fits a mixture of Markovian Arrival Processes (MMAPs) to match the given cross-moments.
Mmap_mixture_fit - Class in jline.api.mam
mmap_mixture_fit_mmap(MatrixCell) - Static method in class jline.api.mam.Mmap_mixture_fit_mmap: Fits a mixture of Markovian Arrival Processes (MMAPs) to match the given moments.
Mmap_mixture_fit_mmap - Class in jline.api.mam
mmap_mixture_fit_trace(double[], int[]) - Static method in class jline.api.mam.Mmap_mixture_fit_trace: Fits a MMAP with m classes using a mixture of m^2 PH-distributions from trace data.
mmap_mixture_fit_trace(Matrix, Matrix) - Static method in class jline.api.mam.Mmap_mixture_fit_trace: Fits a MMAP with m classes using a mixture of m^2 PH-distributions from Matrix inputs.
Mmap_mixture_fit_trace - Class in jline.api.mam
mmap_mixture_order2(List<MatrixCell>, double[]) - Static method in class jline.api.mam.Mmap_mixture_order2: Creates a second-order MMAP mixture from a collection of MMAPs.
Mmap_mixture_order2 - Class in jline.api.mam
mmap_mixture_order2_optimal(List<MatrixCell>, double[]) - Static method in class jline.api.mam.Mmap_mixture_order2: Creates a second-order MMAP mixture with automatic weight selection.
Mmap_mixture_order2.WeightsCallback - Interface in jline.api.mam: Functional callback used internally for weight-combination enumeration.
mmap_modulate(MatrixCell, MatrixCell) - Static method in class jline.api.mam.Mmap_modulate: Modulates an MMAP by another MMAP using the default modulation factor 1.0.
mmap_modulate(MatrixCell, MatrixCell, double) - Static method in class jline.api.mam.Mmap_modulate: Modulates an MMAP by another MMAP, creating a compound arrival process.
Mmap_modulate - Class in jline.api.mam
mmap_modulate_time_varying(MatrixCell, Function<Double, Double>) - Static method in class jline.api.mam.Mmap_modulate: Time-varying modulation with default time horizon (10.0) and number of steps (10).
mmap_modulate_time_varying(MatrixCell, Function<Double, Double>, double, int) - Static method in class jline.api.mam.Mmap_modulate: Time-varying modulation of an MMAP.
mmap_normalize(MatrixCell) - Static method in class jline.api.mam.Mmap_normalize: Normalizes a Markovian Arrival Process with marked arrivals (MMAP) to ensure feasibility.
Mmap_normalize - Class in jline.api.mam
mmap_pc(MatrixCell) - Static method in class jline.api.mam.Mmap_pc: Computes the proportion of counts (PC) for each type in a Markovian Arrival Process with marked arrivals (MMAP).
Mmap_pc - Class in jline.api.mam
mmap_pie(Matrix[]) - Static method in class jline.api.mam.Mmap_pie
mmap_pie(MatrixCell) - Static method in class jline.api.mam.Mmap_pie
Mmap_pie - Class in jline.api.mam: Computes the steady-state probability vector for each class in an MMAP.
mmap_rand(int, int) - Static method in class jline.api.mam.Mmap_rand: Generates a random MMAP with a given order and number of classes.
Mmap_rand - Class in jline.api.mam
mmap_sample(MatrixCell, long) - Static method in class jline.api.mam.Mmap_sample
mmap_sample(MatrixCell, long, Random) - Static method in class jline.api.mam.Mmap_sample: Generates samples of inter-arrival times and event types from a MMAP.
Mmap_sample - Class in jline.api.mam
Mmap_sample.MarkedSample - Class in jline.api.mam: One marked draw: inter-arrival time plus the 1-based mark of the arrival.
Mmap_sample.MmapSampler - Class in jline.api.mam: Stateful sampler for an MMAP {D0, D1_agg, D11..D1K} (M3A layout) that retains the modulating phase between draws, so successive calls reproduce the inter-arrival autocorrelation (mirrors Map_sample.MapSampler / BmapSampler).
mmap_scale(MatrixCell, Matrix) - Static method in class jline.api.mam.Mmap_scale: Overloaded function for backward compatibility.
mmap_scale(MatrixCell, Matrix, int) - Static method in class jline.api.mam.Mmap_scale: Changes the mean inter-arrival time of a Markovian Arrival Process with marked arrivals (MMAP).
Mmap_scale - Class in jline.api.mam
mmap_shorten(MatrixCell) - Static method in class jline.api.mam.Mmap_shorten: Converts an MMAP representation from M3A format to BUTools format.
Mmap_shorten - Class in jline.api.mam
mmap_sigma(Matrix[]) - Static method in class jline.api.mam.Mmap_sigma: Computes one-step class transition probabilities for an MMAP given as Matrix[].
mmap_sigma(MatrixCell) - Static method in class jline.api.mam.Mmap_sigma: Computes one-step class transition probabilities for a Marked Markovian Arrival Process (MMAP).
Mmap_sigma - Class in jline.api.mam
mmap_sigma2(MatrixCell) - Static method in class jline.api.mam.Mmap_sigma2: Computes two-step class transition probabilities for an MMAP.
Mmap_sigma2 - Class in jline.api.mam
mmap_sigma2_cell(MatrixCell) - Static method in class jline.api.mam.Mmap_sigma2: MatrixCell overload.
mmap_sum(MatrixCell, int) - Static method in class jline.api.mam.Mmap_sum: Returns the MMAP representing the sum of n identical copies of the given MMAP: its interarrival time is distributed as the sum of n interarrival times of the base process, and the class marking is inherited from the n-th (last) of the n base arrivals.
Mmap_sum - Class in jline.api.mam
mmap_super(MatrixCell) - Static method in class jline.api.mam.Mmap_super: Combines a list of MMAPs into one superposed MMAP.
mmap_super(MatrixCell, MatrixCell) - Static method in class jline.api.mam.Mmap_super: Combines two MMAPs into one superposed MMAP using the default option.
mmap_super(MatrixCell, MatrixCell, String) - Static method in class jline.api.mam.Mmap_super: Combines two MMAPs into one superposed MMAP.
Mmap_super - Class in jline.api.mam
mmap_super_safe(Map<Integer, MatrixCell>, int) - Static method in class jline.api.mam.Mmap_super_safe
mmap_super_safe(Map<Integer, MatrixCell>, int, String) - Static method in class jline.api.mam.Mmap_super_safe: Safely combines multiple MMAPs into a single superposed MMAP while considering order constraints.
Mmap_super_safe - Class in jline.api.mam
mmap_timereverse(MatrixCell) - Static method in class jline.api.mam.Mmap_timereverse: Computes the time-reversed version of a Markovian Arrival Process with marked arrivals (MMAP).
Mmap_timereverse - Class in jline.api.mam
mmap2k_fit(double, double, double, double, double[], double[], double[]) - Static method in class jline.api.mam.Mmap2k_fit: Fits an MMAP(2,K) to the inter-arrival moments, the autocorrelation decay rate and the per-class probabilities, forward moments and backward moments.
Mmap2k_fit - Class in jline.api.mam
Mmap2k_fit.Result - Class in jline.api.mam: Result of a fit: the MMAP and whether the closed form matched exactly.
mmap3k_fit(Matrix, Matrix, double[], double[], double[], double[]) - Static method in class jline.api.mam.Mmap3k_fit: Marks a given MAP so that the per-class characteristics are matched.
Mmap3k_fit - Class in jline.api.mam
Mmap3k_fit.Result - Class in jline.api.mam: Result of a fit: the marked MAP and whether the marking is feasible.
MmapCompressAlgo() - Constructor for class jline.api.mam.Mmap_compress.MmapCompressAlgo
mmapFromMRAP(Matrix[]) - Static method in class jline.lib.butools.map.MMAPFromMRAP
mmapFromMRAP(Matrix[], double) - Static method in class jline.lib.butools.map.MMAPFromMRAP: Overload for Matrix[].
mmapFromMRAP(MatrixCell) - Static method in class jline.lib.butools.map.MMAPFromMRAP
mmapFromMRAP(MatrixCell, double) - Static method in class jline.lib.butools.map.MMAPFromMRAP: Obtains a Markovian representation of a continuous marked rational arrival process of the same size, if possible.
MMAPFromMRAP - Class in jline.lib.butools.map
MMAPKPHK1Options - Class in jline.lib.qmam: Options for MMAP[K]/PH[K]/1 queue analysis.
MMAPKPHK1Options() - Constructor for class jline.lib.qmam.MMAPKPHK1Options
MMAPKPHK1Options(String, int, int) - Constructor for class jline.lib.qmam.MMAPKPHK1Options
MMAPKPHK1Result - Class in jline.lib.qmam: Result of MMAP[K]/PH[K]/1 queue analysis.
MMAPKPHK1Result(List<Matrix>, Matrix, List<Matrix>, List<Matrix>, Matrix) - Constructor for class jline.lib.qmam.MMAPKPHK1Result
MMAPPH1FCFS - Class in jline.lib.butools
MMAPPH1FCFS(MatrixCell, Map<Integer, Matrix>, Map<Integer, Matrix>, Integer, Integer, Integer, Matrix, boolean, boolean, Double, Matrix) - Static method in class jline.lib.butools.MMAPPH1FCFS
MMAPPH1NPPR - Class in jline.lib.butools: Top-level functions for MMAPPH1NPPR analysis.
MMAPPH1NPPR(MatrixCell, MatrixCell, MatrixCell, Integer, Integer, Integer, Matrix, Double, Integer, Matrix) - Static method in class jline.lib.butools.MMAPPH1NPPR
MMAPPH1PRPR - Class in jline.lib.butools
MMAPPH1PRPR(MatrixCell, MatrixCell, MatrixCell, Integer, Integer, Integer, Matrix, Double, Integer, Matrix) - Static method in class jline.lib.butools.MMAPPH1PRPR
MmapSampler(MatrixCell) - Constructor for class jline.api.mam.Mmap_sample.MmapSampler
MMAPt - Class in jline.lang.processes: Time-inhomogeneous MARKED Markovian arrival process (MMAP_t).
MMAPt(double[], List<Matrix>, List<List<Matrix>>) - Constructor for class jline.lang.processes.MMAPt: Creates a cyclic MMAP_t.
MMAPt(double[], List<Matrix>, List<List<Matrix>>, boolean) - Constructor for class jline.lang.processes.MMAPt: Creates an MMAP_t with a piecewise-constant marked matrix schedule.
MMAPT - Enum constant in enum jline.lang.constant.ProcessType
mmax - Variable in class jline.api.pfqn.Pfqn_sdr.Coeff: Largest branch population with delta nonnegative; infinite when C_t >= 0.
mmax - Variable in class jline.api.qsys.QsysLindleyResult: Highest moment order computed.
MMDP - Class in jline.lang.processes: A Markov-Modulated Deterministic Process (MMDP) for fluid queue modeling.
MMDP() - Constructor for class jline.lang.processes.MMDP: Creates an empty MMDP instance.
MMDP(Matrix, Matrix) - Constructor for class jline.lang.processes.MMDP: Creates an MMDP with specified generator Q and rate matrix R.
MMDP2 - Class in jline.lang.processes: A 2-state Markov-Modulated Deterministic Process.
MMDP2(double, double, double, double) - Constructor for class jline.lang.processes.MMDP2: Creates a 2-state Markov-Modulated Deterministic Process.
mmiGradient(double[], double[], int, int, int[], int, int[], int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi: Gradient of Mapqn_qrf_noblo_mmi.mmiObjective(double[], int, int, int[], int, int[], int), accumulated into grad.
mmiObjective(double[], int, int, int[], int, int[], int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi: Mutual-information objective, read straight off the flat variable vector.
mmkModel() - Static method in class jline.examples.java.advanced.PassAndSwapExample: M/M/K order-independent queue model: mu(c) = min(n, K).
MMPP - Class in jline.lib.kpctoolbox.mmpp
mmpp_rand() - Static method in class jline.api.mam.Mmpp_rand: Generates a random Markov Modulated Poisson Process (MMPP) with 2 states.
mmpp_rand() - Static method in class jline.lib.kpctoolbox.mmpp.MMPP
mmpp_rand(int) - Static method in class jline.api.mam.Mmpp_rand: Generates a random Markov Modulated Poisson Process (MMPP) with K states.
mmpp_rand(int) - Static method in class jline.lib.kpctoolbox.mmpp.MMPP
Mmpp_rand - Class in jline.api.mam
MMPP2 - Class in jline.lang.processes: A Markovian-modulated Poisson Process with 2 states
MMPP2 - Class in jline.lib.kpctoolbox: Facade class for MMPP2 fitting functions.
MMPP2 - Enum constant in enum jline.lang.constant.ProcessType
MMPP2(double, double, double, double) - Constructor for class jline.lang.processes.MMPP2
mmpp2_fit(double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fit: Fits a 2-phase Markov modulated Poisson process (MMPP(2)) to the first three moments E1, E2, E3 and the autocorrelation decay rate G2 = rho(k+1)/rho(k).
Mmpp2_fit - Class in jline.api.mam
mmpp2_fit_count(double, double, double, double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fit_count
Mmpp2_fit_count - Class in jline.api.mam: Fits a MMPP(2) according to [Heffes and Lucantoni, 1986].
mmpp2_fit_count_approx(double, double, double, double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fit_count_approx
Mmpp2_fit_count_approx - Class in jline.api.mam: Fits a second-order Marked MMPP using optimization.
mmpp2_fit_example() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MMPP2 Fit Example Source: MMPP2_fit_example.m Category: Examples
mmpp2_fit_mu00(double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fit: Closed-form mu00 (arrival rate in the first environment state) of the MMPP(2) matching (E1, E2, E3, G2).
mmpp2_fit_mu11(double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fit: Closed-form mu11 (arrival rate in the second environment state) of the MMPP(2) matching (E1, E2, E3, G2).
mmpp2_fit_q01(double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fit: Closed-form q01 (environment transition rate out of the first state) of the MMPP(2) matching (E1, E2, E3, G2).
mmpp2_fit_q10(double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fit: Closed-form q10 (environment transition rate out of the second state) of the MMPP(2) matching (E1, E2, E3, G2).
mmpp2_fit1(double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fit1: Fits a 2-phase Markov Modulated Poisson Process (MMPP2) based on the specified parameters.
mmpp2_fit1(double, double, double, double) - Static method in class jline.lib.kpctoolbox.mmpp.MMPP
Mmpp2_fit1 - Class in jline.api.mam
mmpp2_fit2(double, double, double, double) - Static method in class jline.lib.kpctoolbox.mmpp.MMPP
mmpp2_fit3(double, double, double, double) - Static method in class jline.lib.kpctoolbox.mmpp.MMPP
mmpp2_fit4(double, double, double, double) - Static method in class jline.lib.kpctoolbox.mmpp.MMPP
mmpp2_fitc(double, double, double, double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fitc: Fits a MMPP(2) according to [Heffes and Lucantoni, 1986].
mmpp2_fitc(double, double, double, double, double, double, double) - Static method in class jline.lib.kpctoolbox.mmpp.MMPP
Mmpp2_fitc - Class in jline.api.mam
mmpp2_fitc_approx(double, double, double, double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fitc_approx: Fits a second-order Marked MMPP using optimization.
mmpp2_fitc_approx(double, double, double, double, double, double, double) - Static method in class jline.lib.kpctoolbox.mmpp.MMPP
Mmpp2_fitc_approx - Class in jline.api.mam
mmpp2_fitc_theoretical(MatrixCell) - Static method in class jline.lib.kpctoolbox.mmpp.MMPP
mmpp2_fitc_theoretical(MatrixCell, double, double, double) - Static method in class jline.lib.kpctoolbox.mmpp.MMPP
mmpp2_lrd() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MMPP2 LRD (Long Range Dependent) model Source: MMPP2_lrd.m Category: MMPP2
mmpp2_markov_example() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MMPP2 Markov Example Source: MMPP2_markov_example.m Category: Examples
mmpp2_noacf() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MMPP2 NoACF (No Autocorrelation Function) model Source: MMPP2_noacf.m Category: MMPP2
mmpp2_simple() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MMPP2 Simple Example Source: MMPP2_simple.m Category: Examples
mmpp2_srd() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MMPP2 SRD (Short Range Dependent) model Source: MMPP2_srd.m Category: MMPP2
mmpp2_trace_example() - Static method in class jline.lib.kpctoolbox.MAPCatalog: MMPP2 Trace Example Source: MMPP2_trace_example.m Category: Examples
mmppClosed(String) - Static method in class jline.examples.java.advanced.RandomEnvironmentModel: `renv_map_fallback.m` / `example_mapqn2renv.m`: Think -> FCFS queue with MMPP(2) service, one closed class of five.
mmt(Network) - Static method in class jline.lang.ModelAdapter: Fork-Join Transform approach with default forkLambda parameter
mmt(Network, Matrix) - Static method in class jline.lang.ModelAdapter: Fork-Join Transform approach to evaluate queueing networks including fork-join systems.
mmtCache - Variable in class jline.solvers.fj.FJFixedPoint.FJState: Cached MMT transformation, reused while the struct version matches.
MockOtlpReceiver - Class in jline.streaming: Mock OTLP gRPC receiver for testing streaming functionality.
MockOtlpReceiver() - Constructor for class jline.streaming.MockOtlpReceiver: Creates a mock OTLP receiver on a random available port.
mode - Variable in class jline.api.spn.Spn_lpbnd.SpnLpMode
mode - Variable in class jline.api.spn.Spn_mdd.SpnMode: Mode index within the transition, 0-based.
mode - Variable in class jline.lang.ModeEvent
mode - Variable in class jline.lib.qmam.MAPMAP1Options
mode - Variable in class jline.lib.qmam.MAPMcOptions
mode - Variable in class jline.lib.qmam.MMAPKPHK1Options
mode - Variable in class jline.lib.qmam.Q_RAP_RAP_1.RAPRAP1Options
mode - Variable in class jline.lib.smc.GIM1_R.GIM1ROptions
mode - Variable in class jline.solvers.fluid.petri.PetriMode: Mode index within that Transition.
mode - Variable in class jline.streaming.StreamingOptions: Streaming mode: SAMPLED or TIME_WINDOW
mode() - Method in class jline.solvers.ag.AgExec
mode(StreamingOptions.StreamMode) - Method in class jline.streaming.StreamingOptions: Set the streaming mode.
Mode - Class in jline.lang: Superclass representing a class of jobs
Mode(Transition, String) - Constructor for class jline.lang.Mode
MODE_PARK - Static variable in class jline.lang.state.Polling: Landing mode: park (no work anywhere, every switchover immediate).
MODE_SWITCH - Static variable in class jline.lang.state.Polling: Landing mode: enter the switchover into the resolved buffer.
MODE_VISIT - Static variable in class jline.lang.state.Polling: Landing mode: start a visit at the resolved buffer.
ModeEvent - Class in jline.lang: A mode event occurring in a Network.
ModeEvent(EventType, int, int) - Constructor for class jline.lang.ModeEvent
ModeEvent(EventType, int, int, double) - Constructor for class jline.lang.ModeEvent
ModeEvent(EventType, int, int, double, double) - Constructor for class jline.lang.ModeEvent
ModeEvent(EventType, int, int, double, double, Matrix) - Constructor for class jline.lang.ModeEvent
ModeEvent(EventType, int, int, double, double, Matrix, double) - Constructor for class jline.lang.ModeEvent
ModeEvent(EventType, int, int, double, double, Matrix, double, double) - Constructor for class jline.lang.ModeEvent
modeFlow - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
model - Variable in class jline.inference.lang.ParamEstimator
model - Variable in class jline.lang.ClosedClass
model - Variable in class jline.lang.layered.LayeredNetworkElement
model - Variable in class jline.lang.nodes.Logger
model - Variable in class jline.lang.nodes.Node
model - Variable in class jline.lang.OpenClass
model - Variable in class jline.solvers.NetworkSolver: The queueing network model to be solved
model - Variable in class jline.solvers.Solver: The model to be solved
model() - Static method in class jline.examples.java.advanced.PassAndSwapClosedTandemExample
model() - Method in class jline.solvers.NetworkSolver
Model - Class in jline.lang: Class representing a model supported by the library
Model(String) - Constructor for class jline.lang.Model: Creates a new model with the specified name.
modeLabel - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
ModelAdapter - Class in jline.lang: Static class to transform and adapt models, providing functionality for: - Creating tagged job models for response time analysis - Fork-join network transformations (formerly from FJ.java) - Model preprocessing and adaptation operations
ModelAdapter() - Constructor for class jline.lang.ModelAdapter
ModelAdapter.AggregateChainResult - Class in jline.lang: Result of aggregating chains in a model
ModelAdapter.DeaggInfo - Class in jline.lang: Deaggregation information for converting chain-level results back to class-level
ModelAdapter.FJTagResult - Class in jline.lang: Result of the FJ tag augmentation (fjtag).
ModelAdapter.TaggedChainResult - Class in jline.lang: Result of tagging a chain in a model
ModelAnalyzer - Class in jline.solvers.auto: Helper class to analyze model characteristics for solver selection
ModelAnalyzer(Network) - Constructor for class jline.solvers.auto.ModelAnalyzer
ModelAttribute - Class in jline.lang: Metadata container held by every Model, twin of the untyped attribute struct of matlab/src/lang/Model.m.
ModelAttribute() - Constructor for class jline.lang.ModelAttribute
ModelEdge(String, ModelVisualizer.EdgeType) - Constructor for class jline.io.ModelVisualizer.ModelEdge
modelEvaluations - Variable in class jline.opt.results.OptimizationResult
modelEvaluations - Variable in class jline.opt.results.WorkflowResult: LQN diagnostics (solveLayered): total LINE solves performed.
modelName - Variable in class jline.unified.JsonResult
ModelRegistry - Class in jline.unified: Registry that maps model names to builder functions for unified cross-language testing.
ModelVertex(String, ModelVisualizer.NodeType, int, Object) - Constructor for class jline.io.ModelVisualizer.ModelVertex
modelView() - Method in class jline.lang.Network
ModelVisualizer - Class in jline.io: Unified visualizer for both Network and LayeredNetwork models using the JUNG library.
ModelVisualizer(LayeredNetwork) - Constructor for class jline.io.ModelVisualizer: Creates a visualizer for a LayeredNetwork model.
ModelVisualizer(Network) - Constructor for class jline.io.ModelVisualizer: Creates a visualizer for a Network model.
ModelVisualizer.EdgeType - Enum in jline.io: Unified edge type enumeration covering both Network and LayeredNetwork relationships.
ModelVisualizer.ModelEdge - Class in jline.io: Unified wrapper class for graph edges representing relationships.
ModelVisualizer.ModelVertex - Class in jline.io: Unified wrapper class for graph vertices representing model elements.
ModelVisualizer.NodeType - Enum in jline.io: Unified node type enumeration covering both Network and LayeredNetwork elements.
modenames - Variable in class jline.lang.nodeparam.TransitionNodeParam
modes - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
modes - Variable in class jline.api.spn.Spn_mdd.SpnInfo
modes - Variable in class jline.solvers.fluid.petri.PetriTerms
modeTput - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
modeTput - Variable in class jline.api.spn.Spn_metrics.SpnMetricsResult: Transition (mode) throughput.
modeUtil - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
modeUtil - Variable in class jline.api.spn.Spn_metrics.SpnMetricsResult: Transition (mode) utilization, P(e_j >= 1).
modified_nrm_direct(Matrix, List<Integer>[], BiFunction<Matrix, ArrayDeque<Integer>[], Double>[], Matrix, ArrayDeque<Integer>[], int, SolverOptions, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, NetworkStruct, List<Integer>, List<int[]>, double[], Solver_ssa_nrm.Fcr, Solver_ssa_nrm.Balk, Solver_ssa_nrm.Sig, Solver_ssa_nrm.Rr, boolean[], boolean[], Solver_ssa_nrm.Smap, int, boolean[], double[][][], boolean[], boolean[], List<Integer>, int[]) - Static method in class jline.solvers.ssa.handlers.Solver_ssa_nrm
ModifyMode - Enum in jline.api.sn: Modification mode for SN setter methods.
mom - Variable in class jline.api.pfqn.nc.PfqnCycletResult: The first nmom moments.
momAll - Variable in class jline.api.sym.SymEngine.Passage: Per start state moments, null if not requested
moment(double, double, double, int) - Static method in class jline.api.qsys.QsysLindleyMoment: Evaluates the conditional moment.
moment_binomial_from_factorial(Matrix) - Static method in class jline.api.moment.Moment_binomial_from_factorial: Binomial moments from factorial moments.
Moment_binomial_from_factorial - Class in jline.api.moment: Binomial moments from factorial moments.
moment_binomial_from_negbinomial(Matrix) - Static method in class jline.api.moment.Moment_binomial_from_negbinomial: Converts negative-binomial moments into binomial moments.
Moment_binomial_from_negbinomial - Class in jline.api.moment: Binomial moments from negative-binomial moments.
moment_binomial_from_tail(Matrix) - Static method in class jline.api.moment.Moment_binomial_from_tail: Converts survival probabilities into binomial moments.
Moment_binomial_from_tail - Class in jline.api.moment: Binomial moments from survival (tail) probabilities.
moment_binotrans(Matrix) - Static method in class jline.api.moment.Moment_binotrans: Binomial transform of a sequence.
Moment_binotrans - Class in jline.api.moment: Binomial transform of a sequence.
moment_binotransinv(Matrix) - Static method in class jline.api.moment.Moment_binotransinv: Inverse binomial transform of a sequence.
Moment_binotransinv - Class in jline.api.moment: Inverse binomial transform of a sequence.
moment_central_from_raw(Matrix) - Static method in class jline.api.moment.Moment_central_from_raw: Converts power (raw) moments into central moments.
Moment_central_from_raw - Class in jline.api.moment: Central moments from power (raw) moments.
moment_cov - Variable in class jline.solvers.SolverOptions.Config: Fluid moment closure: per-station coordinate covariance blocks closing the capacity-share RATIO of the PS/FCFS/DPS/GPS branches, which is a separate closure from the min().
moment_cumulant_from_raw(Matrix) - Static method in class jline.api.moment.Moment_cumulant_from_raw: Converts power (raw) moments into cumulants.
Moment_cumulant_from_raw - Class in jline.api.moment: Cumulants from power (raw) moments.
moment_factcumulant_from_factorial(Matrix) - Static method in class jline.api.moment.Moment_factcumulant_from_factorial: Converts factorial moments into factorial cumulants.
Moment_factcumulant_from_factorial - Class in jline.api.moment: Factorial cumulants from factorial moments.
moment_factorial_from_binomial(Matrix) - Static method in class jline.api.moment.Moment_factorial_from_binomial: Factorial moments from binomial moments.
Moment_factorial_from_binomial - Class in jline.api.moment: Factorial moments from binomial moments.
moment_factorial_from_factcumulant(Matrix) - Static method in class jline.api.moment.Moment_factorial_from_factcumulant: Converts factorial cumulants into factorial moments.
Moment_factorial_from_factcumulant - Class in jline.api.moment: Factorial moments from factorial cumulants.
moment_factorial_from_raw(Matrix) - Static method in class jline.api.moment.Moment_factorial_from_raw: Converts power (raw) moments into factorial moments.
Moment_factorial_from_raw - Class in jline.api.moment: Factorial moments from power (raw) moments.
moment_factorial_from_upfactorial(Matrix) - Static method in class jline.api.moment.Moment_factorial_from_upfactorial: Converts upward-factorial moments into factorial moments.
Moment_factorial_from_upfactorial - Class in jline.api.moment: Factorial moments from upward-factorial moments.
moment_housematrix(String, int) - Static method in class jline.api.moment.Moment_housematrix: Returns the conversion matrix of one edge of the house of moments.
Moment_housematrix - Class in jline.api.moment: Conversion matrix of one edge of the house of moments.
moment_joint_aggregate(double[], int[]) - Static method in class jline.api.moment.Moment_joint_aggregate: Factorial moments of the total count.
Moment_joint_aggregate - Class in jline.api.moment: Factorial moments of a total count from the joint factorial moments of its parts.
moment_joint_binomial_from_factorial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_binomial_from_factorial: Converts joint factorial moments into joint binomial moments.
Moment_joint_binomial_from_factorial - Class in jline.api.moment: Joint binomial moments from joint factorial moments.
moment_joint_binomial_from_negbinomial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_binomial_from_negbinomial: Converts joint negative-binomial moments into joint binomial moments.
Moment_joint_binomial_from_negbinomial - Class in jline.api.moment: Joint binomial moments from joint negative-binomial moments.
moment_joint_binomial_from_tail(double[], int[]) - Static method in class jline.api.moment.Moment_joint_binomial_from_tail: Converts joint survival probabilities into joint binomial moments.
Moment_joint_binomial_from_tail - Class in jline.api.moment: Joint binomial moments from joint survival probabilities.
moment_joint_central_from_raw(double[], int[]) - Static method in class jline.api.moment.Moment_joint_central_from_raw: Converts joint power moments into joint central moments.
Moment_joint_central_from_raw - Class in jline.api.moment: Joint central moments from joint power (raw) moments.
moment_joint_central_from_raw_mean(double[], int[], double[]) - Static method in class jline.api.moment.Moment_joint_central_from_raw_mean: Converts joint power moments into joint central moments about mu.
Moment_joint_central_from_raw_mean - Class in jline.api.moment: Joint central moments about a given mean vector.
moment_joint_central_from_tail(double[], int[]) - Static method in class jline.api.moment.Moment_joint_central_from_tail: Converts a joint survival array into joint central moments.
Moment_joint_central_from_tail - Class in jline.api.moment: Joint central moments from a joint survival array.
moment_joint_cumulant_from_raw(double[], int[]) - Static method in class jline.api.moment.Moment_joint_cumulant_from_raw: Converts joint power moments into joint cumulants.
Moment_joint_cumulant_from_raw - Class in jline.api.moment: Joint cumulants from joint power (raw) moments.
moment_joint_factcumulant_from_factorial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_factcumulant_from_factorial: Converts joint factorial moments into joint factorial cumulants.
Moment_joint_factcumulant_from_factorial - Class in jline.api.moment: Joint factorial cumulants from joint factorial moments.
moment_joint_factorial_from_binomial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_factorial_from_binomial: Converts joint binomial moments into joint factorial moments.
Moment_joint_factorial_from_binomial - Class in jline.api.moment: Joint factorial moments from joint binomial moments.
moment_joint_factorial_from_factcumulant(double[], int[]) - Static method in class jline.api.moment.Moment_joint_factorial_from_factcumulant: Converts joint factorial cumulants into joint factorial moments.
Moment_joint_factorial_from_factcumulant - Class in jline.api.moment: Joint factorial moments from joint factorial cumulants.
moment_joint_factorial_from_raw(double[], int[]) - Static method in class jline.api.moment.Moment_joint_factorial_from_raw: Converts joint raw moments into joint factorial moments.
Moment_joint_factorial_from_raw - Class in jline.api.moment: Joint factorial moments from joint raw moments.
moment_joint_factorial_from_upfactorial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_factorial_from_upfactorial: Converts joint upward-factorial moments into joint factorial moments.
Moment_joint_factorial_from_upfactorial - Class in jline.api.moment: Joint factorial moments from joint upward-factorial moments.
moment_joint_marking(Matrix, double[], int[]) - Static method in class jline.api.moment.Moment_joint_marking: Joint factorial moments of the per-class counts.
Moment_joint_marking - Class in jline.api.moment: Joint factorial moments of the per-class counts under multinomial marking.
moment_joint_negbinomial_from_binomial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_negbinomial_from_binomial: Converts joint binomial moments into joint negative-binomial moments.
Moment_joint_negbinomial_from_binomial - Class in jline.api.moment: Joint negative-binomial moments from joint binomial moments.
moment_joint_negbinomial_from_upfactorial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_negbinomial_from_upfactorial: Converts joint upward-factorial moments into joint negative-binomial moments.
Moment_joint_negbinomial_from_upfactorial - Class in jline.api.moment: Joint negative-binomial moments from joint upward-factorial moments.
moment_joint_raw_from_central(double[], int[], double[]) - Static method in class jline.api.moment.Moment_joint_raw_from_central: Converts joint central moments into joint power moments.
Moment_joint_raw_from_central - Class in jline.api.moment: Joint power (raw) moments from joint central moments.
moment_joint_raw_from_cumulant(double[], int[]) - Static method in class jline.api.moment.Moment_joint_raw_from_cumulant: Converts joint cumulants into joint power moments.
Moment_joint_raw_from_cumulant - Class in jline.api.moment: Joint power (raw) moments from joint cumulants.
moment_joint_raw_from_factorial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_raw_from_factorial: Converts joint factorial moments into joint raw moments.
Moment_joint_raw_from_factorial - Class in jline.api.moment: Joint raw moments from joint factorial moments.
moment_joint_raw_from_upfactorial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_raw_from_upfactorial: Converts joint upward-factorial moments into joint raw moments.
Moment_joint_raw_from_upfactorial - Class in jline.api.moment: Joint raw moments from joint upward-factorial moments.
moment_joint_tail_from_binomial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_tail_from_binomial: Converts joint binomial moments into joint survival probabilities.
Moment_joint_tail_from_binomial - Class in jline.api.moment: Joint survival probabilities from joint binomial moments.
moment_joint_upfactorial_from_factorial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_upfactorial_from_factorial: Converts joint factorial moments into joint upward-factorial moments.
Moment_joint_upfactorial_from_factorial - Class in jline.api.moment: Joint upward-factorial moments from joint factorial moments.
moment_joint_upfactorial_from_negbinomial(double[], int[]) - Static method in class jline.api.moment.Moment_joint_upfactorial_from_negbinomial: Converts joint negative-binomial moments into joint upward-factorial moments.
Moment_joint_upfactorial_from_negbinomial - Class in jline.api.moment: Joint upward-factorial moments from joint negative-binomial moments.
moment_joint_upfactorial_from_raw(double[], int[]) - Static method in class jline.api.moment.Moment_joint_upfactorial_from_raw: Converts joint raw moments into joint upward-factorial moments.
Moment_joint_upfactorial_from_raw - Class in jline.api.moment: Joint upward-factorial moments from joint raw moments.
moment_jointtrans(double[], int[], String) - Static method in class jline.api.moment.Moment_jointtrans: Applies one edge of the house of moments along every dimension.
Moment_jointtrans - Class in jline.api.moment: Separable joint moment conversion, applied dimension by dimension.
moment_lah(int) - Static method in class jline.api.moment.Moment_lah: Triangle of the Lah numbers L(i,j).
Moment_lah - Class in jline.api.moment: Triangle of the Lah numbers.
moment_maxstate - Variable in class jline.solvers.SolverOptions.Config: Fluid moment closure: largest phase-resolved state the covariance (Lyapunov) equation is attempted on.
moment_negbinomial_from_binomial(Matrix) - Static method in class jline.api.moment.Moment_negbinomial_from_binomial: Converts binomial moments into negative-binomial moments.
Moment_negbinomial_from_binomial - Class in jline.api.moment: Negative-binomial moments from binomial moments.
moment_negbinomial_from_upfactorial(Matrix) - Static method in class jline.api.moment.Moment_negbinomial_from_upfactorial: Negative-binomial moments from upward-factorial moments.
Moment_negbinomial_from_upfactorial - Class in jline.api.moment: Negative-binomial moments from upward-factorial moments.
moment_raw_from_central(Matrix, double) - Static method in class jline.api.moment.Moment_raw_from_central: Converts central moments into power (raw) moments.
Moment_raw_from_central - Class in jline.api.moment: Power (raw) moments from central moments.
moment_raw_from_cumulant(Matrix) - Static method in class jline.api.moment.Moment_raw_from_cumulant: Converts cumulants into power (raw) moments.
Moment_raw_from_cumulant - Class in jline.api.moment: Power (raw) moments from cumulants.
moment_raw_from_factorial(Matrix) - Static method in class jline.api.moment.Moment_raw_from_factorial: Converts factorial moments into power (raw) moments.
Moment_raw_from_factorial - Class in jline.api.moment: Power (raw) moments from factorial moments.
moment_raw_from_upfactorial(Matrix) - Static method in class jline.api.moment.Moment_raw_from_upfactorial: Converts upward-factorial moments into power (raw) moments.
Moment_raw_from_upfactorial - Class in jline.api.moment: Power (raw) moments from upward-factorial moments.
moment_sigma2 - Variable in class jline.solvers.SolverOptions.Config: Fluid moment closure: per-station population variance closing the E[min(X,c)] term of the closing drift.
moment_stirling1(int) - Static method in class jline.api.moment.Moment_stirling1: Triangle of the signed Stirling numbers of the first kind s(i,j).
Moment_stirling1 - Class in jline.api.moment: Triangle of the signed Stirling numbers of the first kind.
moment_stirling2(int) - Static method in class jline.api.moment.Moment_stirling2: Triangle of the Stirling numbers of the second kind S(i,j).
Moment_stirling2 - Class in jline.api.moment: Triangle of the Stirling numbers of the second kind.
moment_stirlingcycle(int) - Static method in class jline.api.moment.Moment_stirlingcycle: Triangle of the Stirling cycle numbers sigma(i,j).
Moment_stirlingcycle - Class in jline.api.moment: Triangle of the Stirling cycle numbers.
moment_tail_from_binomial(Matrix) - Static method in class jline.api.moment.Moment_tail_from_binomial: Converts binomial moments into survival probabilities.
Moment_tail_from_binomial - Class in jline.api.moment: Survival (tail) probabilities from binomial moments.
moment_tensortrans(double[], int[], Matrix, int) - Static method in class jline.api.moment.Moment_tensortrans: Applies a conversion matrix along one dimension of a joint moment array.
Moment_tensortrans - Class in jline.api.moment: Mode product of a joint moment array with a conversion matrix.
moment_upfactorial_from_factorial(Matrix) - Static method in class jline.api.moment.Moment_upfactorial_from_factorial: Converts factorial moments into upward-factorial moments.
Moment_upfactorial_from_factorial - Class in jline.api.moment: Upward-factorial moments from factorial moments.
moment_upfactorial_from_negbinomial(Matrix) - Static method in class jline.api.moment.Moment_upfactorial_from_negbinomial: Upward-factorial moments from negative-binomial moments.
Moment_upfactorial_from_negbinomial - Class in jline.api.moment: Upward-factorial moments from negative-binomial moments.
moment_upfactorial_from_raw(Matrix) - Static method in class jline.api.moment.Moment_upfactorial_from_raw: Converts power (raw) moments into upward-factorial moments.
Moment_upfactorial_from_raw - Class in jline.api.moment: Upward-factorial moments from power (raw) moments.
momentCacheMissProbVar - Variable in class jline.solvers.fluid.FluidResult: Per-cache, per-class variance of the miss probability that class sees.
momentCacheNode - Variable in class jline.solvers.fluid.FluidResult: Node index of each entry in FluidResult.momentCacheSigma.
momentCachePi0 - Variable in class jline.solvers.fluid.FluidResult: Per-cache per-item miss probability, aligned with FluidResult.momentCacheSigma.
momentCacheSigma - Variable in class jline.solvers.fluid.FluidResult: Per-cache stationary covariance of the item occupancy under the linear noise approximation, one entry per cache that has a drift-based fluid model.
momentChainT() - Method in class jline.solvers.NetworkSolver
momentChainT(int) - Method in class jline.solvers.NetworkSolver
momentChainT(int[]) - Method in class jline.solvers.NetworkSolver
momentClassBlock - Variable in class jline.solvers.fluid.FluidResult: State coordinates of each (station,class) in FluidResult.momentSigma, flattened as i*nclasses+k.
momentOuterIters - Variable in class jline.solvers.fluid.FluidResult: Outer (mean, covariance) iterations performed by the moment-closure methods.
momentQVar - Variable in class jline.solvers.fluid.FluidResult: Per-(station,class) queue-length variance of the moment-closure methods.
moments - Variable in class jline.api.fes.FesMapAggregateResult: Descriptors e1, e2, e3 and the index of dispersion at each population.
moments - Variable in class jline.api.qsys.QsysLindleyResult: Conditional raw moments, moments[i][m-1] for order m.
moments - Variable in class jline.api.sym.SymEngine.Passage: Moments of order 1..nmax for the initial law, null if not requested
moments() - Method in class jline.lang.processes.Markovian: Property alias for getMoments
moments(Matrix, Matrix) - Static method in class jline.api.lqn.LqnPh: First two moments of a phase-type law without building a Distribution object, which is what the layered fixed point needs at every iteration for every composed entry law.
moments(UnivariateFunction, int) - Static method in class jline.lib.lti.cme
momentsFromDPH(double[], Matrix) - Static method in class jline.lib.butools.dph.MomentsFromDPH
momentsFromDPH(double[], Matrix, int) - Static method in class jline.lib.butools.dph.MomentsFromDPH: Overload for double[] alpha.
momentsFromDPH(Matrix, Matrix) - Static method in class jline.lib.butools.dph.MomentsFromDPH
momentsFromDPH(Matrix, Matrix, int) - Static method in class jline.lib.butools.dph.MomentsFromDPH: Returns the first K moments of a discrete phase-type distribution.
MomentsFromDPH - Class in jline.lib.butools.dph
momentsFromME(double[], Matrix) - Static method in class jline.lib.butools.ph.MomentsFromME
momentsFromME(double[], Matrix, int) - Static method in class jline.lib.butools.ph.MomentsFromME: Overload for double[] alpha.
momentsFromME(Matrix, Matrix) - Static method in class jline.lib.butools.ph.MomentsFromME
momentsFromME(Matrix, Matrix, int) - Static method in class jline.lib.butools.ph.MomentsFromME: Returns the first K moments of a matrix-exponential distribution.
MomentsFromME - Class in jline.lib.butools.ph
momentsFromMG(double[], Matrix) - Static method in class jline.lib.butools.dph.MomentsFromMG
momentsFromMG(double[], Matrix, int) - Static method in class jline.lib.butools.dph.MomentsFromMG
momentsFromMG(Matrix, Matrix) - Static method in class jline.lib.butools.dph.MomentsFromMG
momentsFromMG(Matrix, Matrix, int) - Static method in class jline.lib.butools.dph.MomentsFromMG: Returns the first K moments of a matrix-geometric distribution.
MomentsFromMG - Class in jline.lib.butools.dph
momentsFromPH(double[], Matrix) - Static method in class jline.lib.butools.ph.MomentsFromME
momentsFromPH(double[], Matrix, int) - Static method in class jline.lib.butools.ph.MomentsFromME: Overload for double[] alpha.
momentsFromPH(Matrix, Matrix) - Static method in class jline.lib.butools.ph.MomentsFromME
momentsFromPH(Matrix, Matrix, int) - Static method in class jline.lib.butools.ph.MomentsFromME: Returns the first K moments of a phase-type distribution.
momentSigma - Variable in class jline.solvers.fluid.FluidResult: State-level stationary covariance of the moment-closure methods, i.e.
momentSigma2 - Variable in class jline.solvers.fluid.FluidResult: Per-station population variance of the moment-closure methods.
momentSigma2Drift - Variable in class jline.solvers.fluid.FluidResult: The same variance as it entered the DRIFT, i.e.
momentStationBlock - Variable in class jline.solvers.fluid.FluidResult: State coordinates of each station in FluidResult.momentSigma: every class and service phase it serves.
momentStationT() - Method in class jline.solvers.NetworkSolver
momentStationT(int) - Method in class jline.solvers.NetworkSolver
momentStationT(int[]) - Method in class jline.solvers.NetworkSolver
momentT() - Method in class jline.solvers.NetworkSolver
momentT(int) - Method in class jline.solvers.NetworkSolver
momentT(int[]) - Method in class jline.solvers.NetworkSolver
MomlinResult() - Constructor for class jline.api.pfqn.mva.Pfqn_momlin.MomlinResult
MomsFromFactorialMoms - Class in jline.lib.butools
MomsFromFactorialMoms(Matrix) - Static method in class jline.lib.butools.MomsFromFactorialMoms: Returns the raw moments given the factorial moments.
momsFromHankelMoms(Matrix) - Static method in class jline.lib.butools.MomsFromHankelMoms: Returns the raw moments given the Hankel moments.
MomsFromHankelMoms - Class in jline.lib.butools
momsFromNormMoms(Matrix) - Static method in class jline.lib.butools.MomsFromNormMoms: Returns the raw moments given the normalized moments.
MomsFromNormMoms - Class in jline.lib.butools
momsFromReducedMoms(Matrix) - Static method in class jline.lib.butools.MomsFromReducedMoms: Returns the raw moments given the reduced moments.
MomsFromReducedMoms - Class in jline.lib.butools
MonoCheckResult() - Constructor for class jline.lang.nodes.Queue.MonoCheckResult
monocyclicPHFromME(Matrix, Matrix) - Static method in class jline.lib.butools.ph.MonocyclicPHFromME
monocyclicPHFromME(Matrix, Matrix, int) - Static method in class jline.lib.butools.ph.MonocyclicPHFromME
monocyclicPHFromME(Matrix, Matrix, int, double) - Static method in class jline.lib.butools.ph.MonocyclicPHFromME: Transforms an arbitrary matrix-exponential representation to a Markovian monocyclic representation.
MonocyclicPHFromME - Class in jline.lib.butools.ph
mph - Variable in class jline.solvers.ag.handlers.RcatComponent
mph - Variable in class jline.solvers.ag.handlers.RCATModel
MPH - Class in jline.lang.processes: A Marked Phase-Type distribution (MPH).
MPH - Enum constant in enum jline.lang.constant.ProcessType: The MARKED families.
MPH(Matrix, Matrix, List<Matrix>) - Constructor for class jline.lang.processes.MPH: Creates a marked phase-type distribution.
MPHt - Class in jline.lang.processes: Time-inhomogeneous MARKED phase-type distribution (MPH_t).
MPHt(double[], List<Matrix>, List<Matrix>, List<List<Matrix>>) - Constructor for class jline.lang.processes.MPHt: Creates a cyclic MPH_t.
MPHt(double[], List<Matrix>, List<Matrix>, List<List<Matrix>>, boolean) - Constructor for class jline.lang.processes.MPHt: Creates an MPH_t with a piecewise-constant marked phase-type schedule.
MPHT - Enum constant in enum jline.lang.constant.ProcessType
mqn_basic() - Static method in class jline.examples.java.basic.MixedExamples: Basic mixed open/closed network (mqn_basic.ipynb).
mqn_basic() - Static method in class jline.examples.java.basic.MixedModel: Simple mixed open/closed network with delay and PS queue.
mqn_multiserver_fcfs() - Static method in class jline.examples.java.basic.MixedExamples: Mixed network with FCFS multi-server queues (mqn_multiserver_fcfs.ipynb).
mqn_multiserver_fcfs() - Static method in class jline.examples.java.basic.MixedModel: Mixed network similar to example 2 but with FCFS scheduling.
mqn_multiserver_ps() - Static method in class jline.examples.java.basic.MixedExamples: Mixed network with PS multi-server queues (mqn_multiserver_ps.ipynb).
mqn_multiserver_ps() - Static method in class jline.examples.java.basic.MixedModel: Complex mixed network with five PS queues and different server counts.
mqn_singleserver_fcfs() - Static method in class jline.examples.java.basic.MixedExamples: Mixed FCFS network with large closed population (mqn_singleserver_fcfs.ipynb).
mqn_singleserver_fcfs() - Static method in class jline.examples.java.basic.MixedModel: Mixed network with large closed class population and APH arrivals.
mqn_singleserver_ps() - Static method in class jline.examples.java.basic.MixedExamples: Mixed PS network with simplified routing (mqn_singleserver_ps.ipynb).
mqn_singleserver_ps() - Static method in class jline.examples.java.basic.MixedModel: Mixed PS network with large closed population and simplified open routing.
MQNBenchmarkResult(String, Map<String, Object>) - Constructor for class jline.bench.mqn.MQNResultsFormatter.MQNBenchmarkResult
MQNResultsAccumulator() - Constructor for class jline.bench.mqn.MQNResultsFormatter.MQNResultsAccumulator
MQNResultsFormatter - Class in jline.bench.mqn: Formats MQN benchmark results in MATLAB-style output format
MQNResultsFormatter() - Constructor for class jline.bench.mqn.MQNResultsFormatter
MQNResultsFormatter.MQNBenchmarkResult - Class in jline.bench.mqn: Benchmark result data structure
MQNResultsFormatter.MQNResultsAccumulator - Class in jline.bench.mqn: Accumulates benchmark results for batch formatting
MR - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
MR - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem
MR - Variable in class jline.solvers.QrfParams: Number of blocking configurations.
mrapFromMoments(double[], Matrix[]) - Static method in class jline.lib.butools.map.MRAPFromMoments: Overload for Matrix[].
mrapFromMoments(double[], MatrixCell) - Static method in class jline.lib.butools.map.MRAPFromMoments: Creates a continuous marked rational arrival process that has the same marginal and lag-1 joint moments as given.
MRAPFromMoments - Class in jline.lib.butools.map
mrg32k3a(long, long) - Static method in class jline.solvers.ldes.handlers.LdesStreamSeeds: The seed vector of the stream named offset in a run seeded seed: the first three in [1, m1), the last three in [1, m2), so neither component can start from the all-zero state SSJ rejects.
Mrows - Variable in class jline.api.mdd.MddMcdResult: Mrows[k][r] = {node id, local value} of row r of M_k.
mserbatch - Variable in class jline.solvers.ldes.LDESOptions: Batch size for MSER transient detection algorithm.
msg - Variable in class jline.api.sn.SnToQrfAlpha.Result: Empty on success, otherwise why alpha is not defined for this model.
msg - Variable in class jline.api.sn.SnToQrfBlocking.Result: Empty on success, otherwise why the tables cannot be derived.
msg - Variable in class jline.api.sn.SnToQrfCapacity.Result: Empty on success, otherwise why F is not defined for this model.
mST() - Method in class jline.solvers.NetworkSolver
mST(int) - Method in class jline.solvers.NetworkSolver
mST(int[]) - Method in class jline.solvers.NetworkSolver
mStaircase(List<Matrix>, Matrix) - Static method in class jline.lib.butools.reptrans.MStaircase
mStaircase(List<Matrix>, Matrix, double) - Static method in class jline.lib.butools.reptrans.MStaircase: Computes a smaller representation using the staircase algorithm.
MStaircase - Class in jline.lib.butools.reptrans
mT() - Method in class jline.solvers.NetworkSolver
mT(int) - Method in class jline.solvers.NetworkSolver
mT(int[]) - Method in class jline.solvers.NetworkSolver
MT19937 - Class in jline.opt.solver.de: Bit-exact reimplementation of numpy's legacy MT19937 core, matching the generator underlying numpy.random.RandomState.
MT19937(long) - Constructor for class jline.opt.solver.de.MT19937: Seed with a single non-negative integer, matching RandomState(int).
MTrace - Class in jline.lib.m3a: Data structure for multiclass trace representation.
MTrace(double[], int[], int) - Constructor for class jline.lib.m3a.MTrace
mtrace_backward_moment(double[], int[], int) - Static method in class jline.api.trace.Mtrace_backward_moment
mtrace_backward_moment(double[], int[], int, int) - Static method in class jline.api.trace.Mtrace_backward_moment: Computes backward moments of a multi-class trace.
Mtrace_backward_moment - Class in jline.api.trace
mtrace_backward_moment_conditional(double[], int[], int, int) - Static method in class jline.api.trace.Mtrace_backward_moment: Computes conditional backward moments given the forward recurrence time.
mtrace_bootstrap(double[], int[]) - Static method in class jline.api.trace.Mtrace_bootstrap
mtrace_bootstrap(double[], int[], int) - Static method in class jline.api.trace.Mtrace_bootstrap
mtrace_bootstrap(double[], int[], int, Integer) - Static method in class jline.api.trace.Mtrace_bootstrap
mtrace_bootstrap(double[], int[], int, Integer, Long) - Static method in class jline.api.trace.Mtrace_bootstrap: Performs bootstrap resampling on a multi-class trace.
Mtrace_bootstrap - Class in jline.api.trace
Mtrace_bootstrap.BootstrapResults - Class in jline.api.trace: Bootstrap results container.
Mtrace_bootstrap.TraceStatistics - Class in jline.api.trace: Trace statistics container.
mtrace_count(double[], int[], double) - Static method in class jline.api.trace.Mtrace_count
mtrace_count(double[], int[], double, int) - Static method in class jline.api.trace.Mtrace_count: Computes count statistics from a multi-class trace over specified time windows.
Mtrace_count - Class in jline.api.trace
mtrace_count_multiscale(double[], int[], double[]) - Static method in class jline.api.trace.Mtrace_count: Compute multi-scale count statistics
mtrace_cov(double[], int[]) - Static method in class jline.api.trace.Mtrace_cov: Computes the covariance matrix for multi-type traces.
Mtrace_cov - Class in jline.api.trace
mtrace_cross_moment(double[], int[], int) - Static method in class jline.api.trace.Mtrace_cross_moment: Computes the k-th order moment of the inter-arrival time between an event of class i and an event of class j, for all possible pairs of classes.
Mtrace_cross_moment - Class in jline.api.trace
mtrace_forward_moment(double[], int[], int[]) - Static method in class jline.api.trace.Mtrace_forward_moment
mtrace_forward_moment(double[], int[], int[], int) - Static method in class jline.api.trace.Mtrace_forward_moment: Computes the forward moments of a marked trace.
Mtrace_forward_moment - Class in jline.api.trace
mtrace_iat2counts(double[], double) - Static method in class jline.api.trace.Mtrace_count: Convert inter-arrival times to count process
mtrace_iat2counts(double[], int[], double) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc_trace: Converts inter-arrival times to counts at given resolution.
mtrace_iat2counts(double[], int[], double) - Static method in class jline.api.trace.Mtrace_iat2counts: Computes the per-class counting processes of T, i.e., the counts after "scale" units of time from an arrival.
Mtrace_iat2counts - Class in jline.api.trace
mtrace_joint(double[], int[], int[]) - Static method in class jline.api.trace.Mtrace_joint: Given a multi-class trace, computes the empirical class-dependent joint moments that estimate E[ ( X^(a)_j )^i(1) (X^(a)_(j+l) )^i(2) ] for all classes a.
Mtrace_joint - Class in jline.api.trace
mtrace_mean(double[], int, int[]) - Static method in class jline.api.trace.Mtrace_mean: Computes the mean of a trace, divided by types.
mtrace_mean(List<double[]>) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
Mtrace_mean - Class in jline.api.trace
mtrace_merge(double[], double[]) - Static method in class jline.api.trace.Mtrace_merge: Merges two traces in a single marked (multiclass) trace.
Mtrace_merge - Class in jline.api.trace
mtrace_moment(double[], int[], int[]) - Static method in class jline.api.trace.Mtrace_moment
mtrace_moment(double[], int[], int[], int) - Static method in class jline.api.trace.Mtrace_moment
mtrace_moment(double[], int[], int[], int, int) - Static method in class jline.api.trace.Mtrace_moment: Computes the empirical class-dependent moments of a multi-class trace.
Mtrace_moment - Class in jline.api.trace
mtrace_moment_simple(double[], int[], int) - Static method in class jline.api.trace.Mtrace_moment_simple: Computes the k-th order moment of the inter-arrival time between an event of class i and an event of class j, for all possible pairs of classes.
Mtrace_moment_simple - Class in jline.api.trace
mtrace_pc(double[], int[]) - Static method in class jline.api.trace.Mtrace_pc: Computes the probabilities of arrival for each class.
Mtrace_pc - Class in jline.api.trace
mtrace_sigma(double[], int[]) - Static method in class jline.api.trace.Mtrace_sigma: Computes the empirical probability of observing a specific 2-element sequence of events, i.e.
Mtrace_sigma - Class in jline.api.trace
mtrace_sigma2(double[], int[]) - Static method in class jline.api.trace.Mtrace_sigma2: Computes the empirical probability of observing a specific 3-element sequence of events, i.e.
Mtrace_sigma2 - Class in jline.api.trace
mtrace_split(double[], int[]) - Static method in class jline.api.trace.Mtrace_split: Given a multi-class trace with inter-arrivals T and labels L, creates the separate per-class traces.
Mtrace_split - Class in jline.api.trace
mtrace_summary(double[], int[]) - Static method in class jline.api.trace.Mtrace_summary: Computes comprehensive summary statistics for a multi-class trace.
Mtrace_summary - Class in jline.api.trace
Mtrace_summary.MtraceSummary - Class in jline.api.trace: Data holder representing a summary of multi-trace statistics.
MtraceSummary(double[], double[], Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.api.trace.Mtrace_summary.MtraceSummary
mu - Variable in class jline.api.mapqn.LinearReductionParameters
mu - Variable in class jline.api.mapqn.Mapqn_bnd_lr_pf.PFParameters
mu - Variable in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
mu - Variable in class jline.api.mapqn.Mapqn_bnd_qr_ld.QuadraticLDParameters
mu - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
mu - Variable in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
mu - Variable in class jline.api.mdd.MddDescriptor: Station service rates, 1/E[S].
mu - Variable in class jline.api.npfqn.Npfqn_traffic_idc
mu - Variable in class jline.api.pfqn.Pfqn_marie.Result
mu - Variable in class jline.io.Ret.pfqnFnc
mu - Variable in class jline.io.Ret.pfqnOifnc
mu - Variable in class jline.io.Ret.snGetProductFormParams
mu - Variable in class jline.lang.NetworkStruct
mu - Variable in class jline.lib.fjcodes.FJService
mu - Variable in class jline.solvers.ba.analyzers.Solver_ba_snc_analyzer.Envelopes: Service rate of each pair.
mu - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld: Exponential service rate; NaN under phase-type service.
mu() - Method in class jline.lang.processes.Coxian: Property alias for getMu
mu() - Method in class jline.lang.processes.Det: Property alias for getMu
mu() - Method in class jline.lang.processes.Markovian: Property alias for getMu
MU - Variable in class jline.api.cache.CacheMissFpiResult
MU - Variable in class jline.api.cache.CacheSojourn.Result: Per-user miss rate of CacheSojourn.Result.xbar, filled by the policy that knows its out-of-cache map.
MU_t - Variable in class jline.api.cache.CacheMissRmfTranResult: Per-user miss-rate trajectory (u x nt).
mu1 - Variable in class jline.api.fj.FJ_maxima.FJCoxFitResult
mu1 - Variable in class jline.lib.lti.iltcme.CmeEntry
mu2 - Variable in class jline.api.fj.FJ_maxima.FJCoxFitResult
mu2 - Variable in class jline.lib.lti.iltcme.CmeEntry
muf - Variable in class jline.io.Ret.pfqnOifnc
mujac - Variable in class jline.util.ode.Rodas.Options
mulByMinusOne() - Method in class jline.util.matrix.Matrix: Multiplies all elements in the matrix by -1 in-place.
mult - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
mult - Variable in class jline.lang.layered.LayeredNetworkStruct
mult(ComplexMatrix) - Method in class jline.util.matrix.ComplexMatrix: Multiplies this complex matrix by another complex matrix.
mult(Matrix) - Method in class jline.util.matrix.Matrix: Performs matrix multiplication: this * B
mult(Matrix, Matrix) - Method in class jline.util.matrix.Matrix: Performs matrix multiplication: this * B
mult(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.DenseMatrix: Performs matrix multiplication: output = A * B.
mult(DMatrix, DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix: Performs matrix multiplication: output = A * B.
multAt(double) - Method in class jline.solvers.fluid.analyzers.FluidStateRateMultiplier: Per-state multiplier at time t, by clamped linear interpolation.
multColumnView(ColumnView) - Method in class jline.util.matrix.Matrix: Efficiently multiplies this row vector with a column view.
multEq(Matrix) - Method in class jline.util.matrix.Matrix: Replaces this matrix with the result of this * B.
MultichainTwins - Class in jline.examples.parity: The three multi-chain class-switching networks, transcribed for the JAVA row.
multichoose(double, double) - Static method in class jline.util.Maths
multichoose(int, int) - Static method in class jline.util.Maths: Generates all combinations of n objects taken k at a time with repetition (multichoose).
multiChooseCombinations(int, int) - Static method in class jline.util.Maths: Generate all combinations of distributing n items into k bins
multichoosecon(Matrix, int) - Static method in class jline.util.Maths: Pick vectors of S units from the units available in vector n.
multiChooseCon(Matrix, double) - Static method in class jline.util.Maths
multichooseList(int, int) - Static method in class jline.util.Maths: Generates all combinations of n objects taken k at a time with repetition (multichoose).
multiclassClosed() - Static method in class jline.examples.java.advanced.AgentModel: Creates a multiclass closed network.
multinomialln(Matrix) - Static method in class jline.util.Maths
multiplicity - Variable in class jline.lang.layered.Host
multiplicity - Variable in class jline.lang.layered.Task
multiply(UnaryOperator<Apcomplex>...) - Static method in class jline.lib.lti.function_wrapper
multiply(FJ_quorum.StepCDF, FJ_quorum.StepCDF) - Static method in class jline.api.fj.FJ_quorum: Pointwise product of two step functions on the union of their time grids.
multiply(SymExpr) - Method in class jline.util.symbolic.SymExpr
multiregime(List<Matrix>, List<double[]>, List<Matrix>, List<double[]>, double[], double[], double[]) - Static method in class jline.lib.butools.mam.Multiregime: Solves a multi-regime feedback Markovian fluid queue.
Multiregime - Class in jline.lib.butools.mam
MultiResult(Matrix, Matrix, Matrix, Matrix, int) - Constructor for class jline.api.pfqn.Pfqn_marie.MultiResult
multiserver - Variable in class jline.solvers.SolverOptions.Config: Multi-server scheduling strategy
multisetPerms(Matrix) - Static method in class jline.util.Maths: All distinct permutations of the multiset held in a row vector, one per row.
MultivariateNormal - Class in jline.lang.processes: A multivariate normal (Gaussian) distribution.
MultivariateNormal(double[], Matrix) - Constructor for class jline.lang.processes.MultivariateNormal: Creates a multivariate normal distribution.
MultivariateNormal(Matrix, Matrix) - Constructor for class jline.lang.processes.MultivariateNormal: Creates a multivariate normal distribution.
MultivariateNormalExample - Class in jline.examples.basic: Example demonstrating MultivariateNormal distribution usage.
MultivariateNormalExample() - Constructor for class jline.examples.basic.MultivariateNormalExample
multMatrix(DMatrix, DMatrix) - Method in class jline.util.matrix.BaseMatrix: Performs matrix multiplication with sparse matrices.
multMatrix(DMatrix, DMatrix) - Method in class jline.util.matrix.DenseMatrix
multMatrix(DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix
multMatrixStatic(DMatrix, DMatrix, DMatrix) - Static method in class jline.util.matrix.DenseMatrix
multMatrixStatic(DMatrix, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
multRowView(RowView) - Method in class jline.util.matrix.Matrix: Efficiently multiplies a row view with this column vector.
muM - Variable in class jline.api.mapqn.MVAVersionParameters
muMAP - Variable in class jline.api.mapqn.MVAVersionParameters
mumas - Variable in class jline.util.ode.Rodas.Options
muRate - Variable in class jline.solvers.mam.handlers.Mam_detect_mmck.Result: the shared service rate, NaN when isMmck is false.
mutationHigh - Variable in class jline.opt.solver.LineOptSolverOptions
mutationLow - Variable in class jline.opt.solver.LineOptSolverOptions
MVA - Class in jline.solvers.mva: MVA is an alias for SolverMVA (Mean Value Analysis solver).
MVA - Enum constant in enum jline.lang.constant.SolverType
MVA(Network) - Constructor for class jline.solvers.mva.MVA
MVA(Network, Object...) - Constructor for class jline.solvers.mva.MVA
MVA(Network, String) - Constructor for class jline.solvers.mva.MVA
MVA(Network, SolverOptions) - Constructor for class jline.solvers.mva.MVA
mvaCarriesInterlock(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_analyzer: True when the MVA path this model already dispatches to carries a class-level interlock matrix (Franks 1999, Eq.
mvacReason(NetworkStruct, String) - Static method in class jline.solvers.mva.SolverMVA: Refusal reason for MVAC, empty when the method may run.
MVAOptions - Class in jline.solvers.mva: Configuration options for Mean Value Analysis (MVA) solver.
MVAOptions() - Constructor for class jline.solvers.mva.MVAOptions: Constructs a new MVAOptions instance with default MVA solver configuration.
MVAResult - Class in jline.solvers.mva: Result container for Mean Value Analysis (MVA) solver computations.
MVAResult() - Constructor for class jline.solvers.mva.MVAResult
MVARunner - Class in jline.solvers.mva.handlers
MVARunner(Network, SolverOptions, boolean) - Constructor for class jline.solvers.mva.handlers.MVARunner
MVARunner(Network, SolverOptions, boolean, Ret.FJApprox) - Constructor for class jline.solvers.mva.handlers.MVARunner
MVARunner(Network, SolverOptions, boolean, Ret.FJApprox, Matrix) - Constructor for class jline.solvers.mva.handlers.MVARunner
MVASolverFactory() - Constructor for class jline.bench.lqn.BenchLQN_MVA.MVASolverFactory
MVASolverHandler - Interface in jline.solvers.mva.handlers
MVAVersionParameters - Class in jline.api.mapqn: Parameters for MVA version models.
MVAVersionParameters(int, int, int, double[], Matrix, Matrix, Matrix) - Constructor for class jline.api.mapqn.MVAVersionParameters
MvnRectangle - Class in jline.solvers.fluid.moments: Rectangle probability of a multivariate normal, the cell integral behind SolverFluid.getProbAggr under the moment-closure methods.
MVPH - Class in jline.lib.kpctoolbox.mvph
mvph_corr(double[], Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.mvph.MVPH
mvph_cov(double[], Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.mvph.MVPH
mvph_joint(double[], Matrix, Matrix, Matrix, int, int) - Static method in class jline.lib.kpctoolbox.mvph.MVPH: Computes the joint moment E[X^n1 * Y^n2] of a bivariate phase-type distribution.
mvph_mean_x(double[], Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.mvph.MVPH
mvph_mean_y(double[], Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.mvph.MVPH

N

n - Variable in class jline.api.sim.QuantileCIResult: Observations used, b*m, or R*b*m for Sim_firquest.
n - Variable in class jline.api.sim.StsQuantileStats: Observations used, b*m.
n - Variable in class jline.io.Ret.cacheGamma
n - Variable in class jline.lib.lti.iltcme.CmeEntry
n - Variable in class jline.lib.perm.PermSolver
n - Variable in class jline.solvers.fluid.petri.PetriImmediate: Number of immediate modes.
n - Variable in class jline.util.PopulationLattice.sprodResult
N - Variable in class jline.api.mapqn.LinearReductionParameters
N - Variable in class jline.api.mapqn.Mapqn_bnd_lr_pf.PFParameters
N - Variable in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
N - Variable in class jline.api.mapqn.Mapqn_bnd_qr_ld.QuadraticLDParameters
N - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
N - Variable in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
N - Variable in class jline.api.mapqn.MVAVersionParameters
N - Variable in class jline.api.mdd.MddDescriptor: Closed population; the conservation law the level marginals must satisfy.
N - Variable in class jline.io.Ret.pfqnHarelBounds: Population size N
N - Variable in class jline.io.Ret.pfqnNcSanitize
N - Variable in class jline.io.Ret.snGetProductFormParams
N - Variable in class jline.io.Ret.snToAG
N - Variable in class jline.solvers.ag.handlers.RcatComponent
N - Variable in class jline.solvers.ag.handlers.RCATModel
N - Variable in class jline.solvers.fluid.petri.PetriConservation: The value each row holds, evaluated at the initial marking.
N - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
N_server - Variable in class jline.api.qsys.QsysRetrialResult
na - Variable in class jline.solvers.ag.handlers.RcatComponent
na(String, String) - Static method in class jline.examples.parity.Print: The solver this twin does not carry, refused by name.
naccpt - Variable in class jline.util.ode.Rodas.Result
nacts - Variable in class jline.lang.layered.LayeredNetworkStruct
NaivePermanent - Class in jline.lib.perm: Implementation of the naive exact permanent computation.
NaivePermanent(Matrix) - Constructor for class jline.lib.perm.NaivePermanent
NaivePermanent(Matrix, boolean) - Constructor for class jline.lib.perm.NaivePermanent
name - Variable in class jline.api.infer.ObsSpec
name - Variable in class jline.api.infer.ParamSpec
name - Variable in class jline.api.sym.SymEngine.Measure: Caller supplied name
name - Variable in class jline.api.sym.SymEngine.RatioSpec: Name of the resulting measure
name - Variable in class jline.examples.parity.ParityExample
name - Variable in class jline.lang.Element
name - Variable in class jline.lang.layered.LayeredNetworkElement.ServerPool
name - Variable in class jline.lang.processes.Distribution
name - Variable in class jline.lang.processes.Process
name - Variable in class jline.opt.decomposition.SubProblem
name - Variable in class jline.opt.objectives.Constraint
name - Variable in class jline.opt.results.SubProblemResult
name - Variable in class jline.opt.variables.DecisionVariable
name - Variable in class jline.solvers.CacheResultRecord: Name of the cache node these results belong to.
name - Variable in class jline.solvers.ctmc.SolverCTMC.SensitivityParameter: Identifier used in reports
name - Variable in class jline.solvers.Solver: Name identifier for this solver instance
name - Variable in class jline.util.NamedParam: The parameter name/identifier
name() - Method in class jline.api.sym.SageRestEngine
name() - Method in interface jline.api.sym.SymEngine: Name of the backing engine, e.g.
name() - Method in class jline.lang.processes.Distribution: Property alias for getName
name() - Method in class jline.lang.processes.Process: Property alias for getName
NamedParam - Class in jline.util: A container for storing named parameters with string identifiers and object values.
NamedParam(String, Object) - Constructor for class jline.util.NamedParam: Constructs a new named parameter with the specified name and value.
names - Variable in class jline.lang.layered.LayeredNetworkElement.LinConRow
names - Variable in class jline.lang.layered.LayeredNetworkStruct
names - Variable in class jline.lang.layered.LayeredNetworkStruct.ServerPools
names - Variable in class jline.solvers.wrappers.jmt.handlers.SaveHandlers.ServerPools: Pool names, one per server type.
names() - Method in class jline.util.symbolic.SymContext
namesNode - Variable in class jline.solvers.fluid.petri.PetriTerms
nanMean - Variable in class jline.util.Utils.MapeResult
nanstop - Variable in class jline.api.da.Da_fpi.Options
narcs() - Method in class jline.inference.api.VariationalSpec
NC - Class in jline.solvers.nc: NC is an alias for SolverNC (Normalizing Constant solver).
NC - Enum constant in enum jline.lang.constant.SolverType
NC(Network) - Constructor for class jline.solvers.nc.NC
NC(Network, Object...) - Constructor for class jline.solvers.nc.NC
NC(Network, String) - Constructor for class jline.solvers.nc.NC
NC(Network, SolverOptions) - Constructor for class jline.solvers.nc.NC
nc_is_dps_model(NetworkStruct) - Static method in class jline.solvers.nc.analyzers.Solver_nc_dps_analyzer: True when the model is the closed two-station network Morrison's expansion is derived for: one infinite-server (think) station and one single-server DPS station, exponential service, every class alternating between the two.
nc_is_oi_model(NetworkStruct) - Static method in class jline.solvers.nc.handlers.Solver_nc_oi: True when the model is a closed queueing network with at least one OI station and every other station a BCMP product-form station: infinite server (delay), PS, LCFS-PR, SIRO or class-independent-rate FCFS.
nc_is_pas_model(NetworkStruct) - Static method in class jline.solvers.nc.handlers.Solver_nc_pas_is: True when the model is a closed two-station P&S tandem: both stations OI/PAS, no other station.
ncalls - Variable in class jline.lang.layered.LayeredNetworkStruct
Nchain - Variable in class jline.io.Ret.snGetDemands
Nchain - Variable in class jline.lang.ModelAdapter.DeaggInfo
nchains - Variable in class jline.lang.ModelAdapter.DeaggInfo
nchains - Variable in class jline.lang.NetworkStruct
nchoosek(int, int) - Static method in class jline.util.Maths: Computes binomial coefficient "n choose k".
ncIsDtModel(NetworkStruct) - Static method in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer: Classify sn against the two discrete-time product-form families.
ncIsNormalUsage(NetworkStruct) - Static method in class jline.solvers.nc.SolverNC: Is the closed model in NORMAL USAGE, the domain of the Mitra-McKenna PANACEA asymptotic expansion (J.
nCk(double, double) - Static method in class jline.util.Maths
nCk(Matrix, int) - Static method in class jline.util.Maths: Computes the combinations of the elements in v taken k at a time
nclasses - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
nclasses - Variable in class jline.api.spn.Spn_mdd.SpnInfo
nclasses - Variable in class jline.lang.ModelAdapter.DeaggInfo
nclasses - Variable in class jline.lang.NetworkStruct
nclasses() - Method in class jline.inference.api.VariationalSpec
nclosedjobs - Variable in class jline.lang.NetworkStruct
ncLossnKind(NetworkStruct) - Static method in class jline.solvers.nc.SolverNC: The loss-network verdict: 0 for neither, 1 for the shape without the DROP rule, 2 for the loss network Solver_nc_lossn_analyzer solves.
ncMethodRefusal(NetworkStruct, String, SolverOptions) - Static method in class jline.solvers.nc.SolverNC: May METHOD run on this model? Empty string when it may, otherwise the reason it may not, in the words the analyzer refuses with.
ncMethodRefusal(NetworkStruct, String, SolverOptions, boolean) - Static method in class jline.solvers.nc.SolverNC: The same predicate, told WHICH QUESTION IS BEING ASKED.
nCols - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem
nConnComp - Variable in class jline.api.sym.SymEngine.CTMCMeasures: Number of weakly connected components of the generator
nConnComp - Variable in class jline.api.sym.SymEngine.CTMCSolution: Number of weakly connected components of the generator
NCOptions - Class in jline.solvers.nc
NCOptions() - Constructor for class jline.solvers.nc.NCOptions
NCResult - Class in jline.solvers.nc
NCResult() - Constructor for class jline.solvers.nc.NCResult
NCSolverFactory() - Constructor for class jline.bench.lqn.BenchLQN_NC.NCSolverFactory
ndec - Variable in class jline.util.ode.Rodas.Result
needsMapEnv(SolverOptions) - Method in class jline.solvers.NetworkSolver: Should this model be solved through the random-environment image of its MAP/MMPP processes instead of natively?
neg() - Method in class jline.util.matrix.Matrix: Returns the negation of this matrix (all elements multiplied by -1).
negative(Matrix) - Static method in class jline.util.matrix.Matrix: Negates all elements in the matrix and returns the result.
NEGATIVE - Enum constant in enum jline.lang.constant.SignalType
NegInf - Static variable in class jline.GlobalConstants: Negative infinity constant
nentries - Variable in class jline.lang.layered.LayeredNetworkStruct
nEpsilon - Variable in class jline.api.mam.Map_m1ps.SojournResult: Queue-length truncation order actually used.
Network - Class in jline.lang: A queueing network model TABLE OF CONTENTS: 1.
Network(String) - Constructor for class jline.lang.Network: Creates a new queueing network model with the specified name.
Network.BindingCapacity - Class in jline.lang: The answer of Network.findBindingCapacity(): whether a buffer binds and, when it does, which one.
Network.RoutingErgodicityResult - Class in jline.lang: Result class for isRoutingErgodic method
Network.routingMatrixReturn - Class in jline.lang
NetworkAttribute - Class in jline.lang: Class for auxiliary information stored in Network objects
NetworkAttribute() - Constructor for class jline.lang.NetworkAttribute
NetworkAvgCacheTable - Class in jline.solvers: Table of detailed per-class cache performance metrics, one total row per cache node and read class (List=0) plus, where available and the cache has more than one list, one row per cache list (level).
NetworkAvgCacheTable(List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkAvgCacheTable
NetworkAvgChainTable - Class in jline.solvers
NetworkAvgChainTable(List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkAvgChainTable
NetworkAvgItemTable - Class in jline.solvers: Table of item-level cache occupancy, one row per Cache node, item and cache list (level).
NetworkAvgItemTable(List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkAvgItemTable
NetworkAvgNodeChainTable - Class in jline.solvers
NetworkAvgNodeChainTable(List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkAvgNodeChainTable
NetworkAvgNodeTable - Class in jline.solvers
NetworkAvgNodeTable(List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkAvgNodeTable
NetworkAvgOrbitTable - Class in jline.solvers: Table of the mean orbit length of every retrial station-class pair, with the station population and the in-service population it decomposes into.
NetworkAvgOrbitTable(List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkAvgOrbitTable
NetworkAvgSysTable - Class in jline.solvers
NetworkAvgSysTable(List<Double>, List<Double>, SolverOptions) - Constructor for class jline.solvers.NetworkAvgSysTable
NetworkAvgTable - Class in jline.solvers: Table for displaying network performance metrics organized by station and job class.
NetworkAvgTable(List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkAvgTable: Creates a new NetworkAvgTable with the specified performance metric values.
NetworkAvgTable(List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkAvgTable: Creates a new NetworkAvgTable with all performance metric values including tardiness.
NetworkBoundsTable - Class in jline.solvers: Table of bound brackets produced by SolverBA, in the layout of NetworkAvgTable.
NetworkBoundsTable(List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkBoundsTable: Creates a bounds table from the four bracket columns.
NetworkCalculusExample - Class in jline.examples.java.advanced: Stochastic network calculus: a delay quantile with a certified violation probability, and what envelope propagation costs across a network.
NetworkCalculusExample() - Constructor for class jline.examples.java.advanced.NetworkCalculusExample
networkDefaultOptions() - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: The default options on a flat Network (the former SolverQNS defaults).
NetworkElement - Class in jline.lang: Class representing an element within a Network object
NetworkElement(String) - Constructor for class jline.lang.NetworkElement: Creates a new network element with the specified name.
NetworkGenerator - Class in jline.gen: A generator object that generates queueing network models based on user specification.
NetworkGenerator() - Constructor for class jline.gen.NetworkGenerator: Constructor with default settings
NetworkGenerator(String, String, String, String, boolean, boolean, boolean, boolean, boolean, Function<Integer, Matrix>) - Constructor for class jline.gen.NetworkGenerator: Constructor with all options including state initialization
NetworkGenerator(String, String, String, String, boolean, boolean, boolean, boolean, Function<Integer, Matrix>) - Constructor for class jline.gen.NetworkGenerator: Constructor with custom settings
NetworkGeneratorExample - Class in jline.examples: Example demonstrating the NetworkGenerator class
NetworkGeneratorExample() - Constructor for class jline.examples.NetworkGeneratorExample
NetworkLossTable - Class in jline.solvers: Table of loss (drop) metrics for every station-class pair that receives offered traffic: offered arrival rate (ArvR), carried throughput (Tput), loss rate (ArvR - Tput, the rate of jobs dropped by finite capacity, blocking, or reneging) and loss ratio (LossRate / ArvR).
NetworkLossTable(List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkLossTable
NetworkMomentChainTable - Class in jline.solvers: Table of exact higher moments of the per-chain queue length, one row per (Station, Chain).
NetworkMomentChainTable(List<String>, List<List<Double>>) - Constructor for class jline.solvers.NetworkMomentChainTable: Creates a chain moment table from the numeric columns that the requested moment orders select.
NetworkMomentResult - Class in jline.solvers: Raw moment results behind NetworkMomentTable, mirroring the mom struct that MATLAB's getMomentTable returns as its second output.
NetworkMomentResult() - Constructor for class jline.solvers.NetworkMomentResult
NetworkMomentStationResult - Class in jline.solvers: Raw moment results behind NetworkMomentStationTable, mirroring the mom struct that MATLAB's getMomentStationTable returns as its second output.
NetworkMomentStationResult() - Constructor for class jline.solvers.NetworkMomentStationResult
NetworkMomentStationTable - Class in jline.solvers: Table of exact higher moments of the TOTAL queue length, one row per station.
NetworkMomentStationTable(List<String>, List<List<Double>>) - Constructor for class jline.solvers.NetworkMomentStationTable: Creates a station moment table from the numeric columns that the requested moment orders select.
NetworkMomentTable - Class in jline.solvers: Table of exact higher moments of the per-class performance measures, one row per (Station, JobClass).
NetworkMomentTable(List<String>, List<List<Double>>) - Constructor for class jline.solvers.NetworkMomentTable: Creates a moment table from the numeric columns that the requested moment orders select.
NetworkNoThink - Class in jline.lib.perm: Queueing network model without think time.
NetworkNoThink(int, int, int[], double[][]) - Constructor for class jline.lib.perm.NetworkNoThink
NetworkNoThink(int, int, int[], double[][], boolean) - Constructor for class jline.lib.perm.NetworkNoThink
NetworkNoThink.MarginalResult - Class in jline.lib.perm: Triple of (probability, computation time, memory usage).
NetworkPercTable - Class in jline.solvers: Table of tail QUANTILES produced by the SolverBA 'snc' family, in the layout of NetworkAvgTable.
NetworkPercTable(List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkPercTable: Creates a quantile table from the two columns.
NetworkSensitivityTable - Class in jline.solvers: Table of exact analytic performance sensitivities, one row per (Station, JobClass).
NetworkSensitivityTable(List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkSensitivityTable: Creates a sensitivity table from its four numeric columns.
NetworkSolver - Class in jline.solvers: Abstract base class for solvers applicable to queueing network models.
NetworkSolver(Network, String) - Constructor for class jline.solvers.NetworkSolver: Constructs a NetworkSolver with the specified model and name using default options.
NetworkSolver(Network, String, SolverOptions) - Constructor for class jline.solvers.NetworkSolver: Constructs a NetworkSolver with the specified model, name, and options.
NetworkSolver.SolverConfigurator - Class in jline.solvers: Fluent configurator returned by NetworkSolver.options().
NetworkStruct - Class in jline.lang: Class summarizing the characteristics of a Network object
NetworkStruct() - Constructor for class jline.lang.NetworkStruct
NetworkThink - Class in jline.lib.perm: Queueing network model with think time.
NetworkThink(int, int, int[], double[], double[][]) - Constructor for class jline.lib.perm.NetworkThink
NetworkThink(int, int, int[], double[], double[][], boolean) - Constructor for class jline.lib.perm.NetworkThink
NetworkTwins - Class in jline.examples.parity: Twins for the goldened networks the JAR's example gallery did not carry.
networkType - Variable in class jline.bench.fj.BenchFJ_Nested.BenchmarkResult
NetworkVisualizationExample - Class in jline.examples.java.basic: Demonstrates JUNG visualization of Network models using the plot() method.
NetworkVisualizationExample() - Constructor for class jline.examples.java.basic.NetworkVisualizationExample
nev - Variable in class jline.solvers.fluid.petri.PetriTerms
nevents - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
newInstance() - Static method in class jline.util.RandomManager: Gets a fresh MersenneTwister instance with the master seed.
newK - Variable in class jline.inference.api.Infer_fluid_ps_rt_likelihood.FluidPsRtResult
next(int[]) - Method in interface jline.api.mdd.MddNextState
next(Random) - Method in class jline.api.mam.Map_sample.BmapSampler: Draws one BMAP event (inter-arrival time and batch size), advancing (and retaining) the modulating phase.
next(Random) - Method in class jline.api.mam.Map_sample.MapSampler: Draws one inter-event time, advancing (and retaining) the modulating phase.
next(Random) - Method in class jline.api.mam.Me_sample.MeSampler: Draws one variate by inverting the ME cumulative distribution function.
next(Random) - Method in class jline.api.mam.Mmap_sample.MmapSampler: Draws one marked inter-event time, advancing (and retaining) the phase.
next(Random) - Method in class jline.api.mam.Rap_sample.RapSampler: Draws one inter-event time and advances the conditional phase vector.
next(Polling.Info, int, int[], int, boolean) - Static method in class jline.lang.state.Polling: Resolve the tangible controller state a polling server reaches once it stops serving buffer pos.
nextArrival(double, int, Random) - Method in class jline.lang.processes.BMMAPt: Time to the next epoch from wall clock from in phase, the phase after it, the 1-based mark it carries and how many jobs it releases.
nextArrival(double, int, Random) - Method in class jline.lang.processes.MAPt: Time to the next arrival from wall clock from in the given phase.
nextArrival(double, int, Random) - Method in class jline.lang.processes.MMAPt: Time to the next arrival from wall clock from in phase, the phase after it and the 1-based mark it carries.
nextArrival(double, int, Random) - Method in class jline.lang.processes.MPHt: Time to the next completion, the phase after it and its mark; see MMAPt.
nextDouble() - Method in class jline.solvers.ldes.handlers.Solver_ssj.ConstantGen
nextDouble() - Method in class jline.solvers.ldes.handlers.Solver_ssj.DiscreteUniformGen
nextDouble() - Method in class jline.solvers.ldes.handlers.Solver_ssj.ShiftedGeometricGen
nextDouble() - Static method in class jline.util.RandomManager: Generates a random double value in [0.0, 1.0) using the thread-specific generator.
nextfun - Variable in class jline.api.mdd.MddDescriptor: Successor function over local indices, for Mdd_reachset.
nextGaussian() - Static method in class jline.util.RandomManager: Generates a random Gaussian (normal) distributed double value using the thread-specific generator.
nextInt(int) - Static method in class jline.util.RandomManager: Generates a random integer between 0 (inclusive) and the specified value (exclusive).
nextInterval(double, double) - Method in class jline.lang.processes.NHPP: Solves integral_{from}^{from+x} lambda(u) du = residual for x, walking the schedule forward and consuming the budget segment by segment.
nextLattice(int[], int[]) - Static method in class jline.api.pfqn.nc.Pfqn_explicit: Next vector of the lattice 0 <= t <= N; false once it is exhausted.
nextPowerOfTwo(int) - Static method in class jline.util.Maths: Given an integer x input, find the next integer y greater than x such that y is a power of 2.
nextUint32() - Method in class jline.opt.solver.de.MT19937: Draw the next tempered 32-bit word as an unsigned value in [0, 2^32).
nfcn - Variable in class jline.util.ode.Rodas.Result
nfev - Variable in class jline.opt.solver.de.DifferentialEvolution.Result
ngrid - Variable in class jline.inference.api.VariationalOptions
nGroups - Variable in class jline.api.sn.SnBuildFjSyncMap.FjSyncMap: total number of sync groups.
NHEAD - Static variable in class jline.api.fes.Fes_map_grid: Leading populations kept in full.
nhosts - Variable in class jline.lang.layered.LayeredNetworkStruct
nhpp - Variable in class jline.solvers.fluid.handlers.FluidRateMultiplier.NhppEntry
NHPP - Class in jline.lang.processes: A non-homogeneous Poisson process (NHPP) with a piecewise-constant intensity.
NHPP - Enum constant in enum jline.lang.constant.ProcessType
NHPP(double[], double[]) - Constructor for class jline.lang.processes.NHPP: Creates a cyclic NHPP.
NHPP(double[], double[], boolean) - Constructor for class jline.lang.processes.NHPP: Creates an NHPP with a piecewise-constant intensity.
nhpp_sched - Variable in class jline.solvers.SolverOptions.Config: Fluid closing ODE: non-homogeneous Poisson (NHPP) source intensities to track over the transient, one entry per (station, class).
NHPP.RateSchedule - Class in jline.lang.processes: A piecewise-constant rate schedule: the parameterisation shared by every schedule-bearing process.
NhppEntry(int, int, NHPP) - Constructor for class jline.solvers.fluid.handlers.FluidRateMultiplier.NhppEntry
ni - Variable in class jline.lang.state.State.StateMarginalStatistics
NI - Enum constant in enum jline.lib.butools.mam.GM1FundamentalMatrix.GM1Method
NI - Enum constant in enum jline.lib.butools.mam.MG1FundamentalMatrix.MG1Method
nidx - Variable in class jline.lang.layered.LayeredNetworkStruct
nir - Variable in class jline.lang.state.State.StateMarginalStatistics
nit - Variable in class jline.opt.solver.de.DifferentialEvolution.Result
nitems - Variable in class jline.lang.layered.LayeredNetworkStruct
nitems - Variable in class jline.lang.nodeparam.CacheNodeParam: Total number of distinct item types in the cache
niter - Variable in class jline.api.lossn.Lossn_rec.LossnRecResult: Number of diagram walks performed, K + 1.
niter - Variable in class jline.api.qsys.Qsys_mmcc_retrial_fp.Result: Iterations taken to converge.
niter - Variable in class jline.io.Ret.lossnErlangFP
niter - Variable in class jline.io.Ret.lossnManjunath
njac - Variable in class jline.util.ode.Rodas.Result
njobs - Variable in class jline.lang.Chain
njobs - Variable in class jline.lang.NetworkStruct
njobs - Variable in class jline.solvers.ln.SolverLN.LNState
njobs - Variable in class jline.solvers.ln.SolverLN
njobsorig - Variable in class jline.solvers.ln.SolverLN
nlayers - Variable in class jline.solvers.ln.SolverLN
nlev - Variable in class jline.solvers.ag.handlers.RcatComponent
nlev - Variable in class jline.solvers.ag.handlers.RCATModel
Nlev - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
nm - Variable in class jline.solvers.fluid.petri.PetriTerms
nmax - Variable in class jline.api.qsys.QsysMapG1kResult: Uniformization order used.
nmax - Variable in class jline.util.ode.Rodas.Options
nmodes - Variable in class jline.lang.nodeparam.TransitionNodeParam
nmodeservers - Variable in class jline.lang.nodeparam.TransitionNodeParam
NnlsSolver - Class in jline.inference.util: Non-negative least squares solver implementing the Lawson-Hanson algorithm.
nnodes - Variable in class jline.api.mdd.MddStruct: nnodes[k] is the live node count at level k.
nnodes - Variable in class jline.api.spn.Spn_mdd.SpnInfo: Node count of the model, so an arc-shaped marking matrix can be rebuilt.
nnodes - Variable in class jline.lang.NetworkStruct
nnz - Variable in class jline.api.mdd.MddLocalMatrix: Total number of stored nonzeros.
nnzcmp(int[], int[]) - Static method in class jline.util.Maths: Compares two arrays by number of zeros and their positions.
noAggregation - Variable in class jline.api.mdd.MddMcdResult: True certifies the result is EXACT with no reference solve needed; false means "not certified by this test", never "approximate" -- a product-form model is exact however much its diagram shares.
nobs - Variable in class jline.api.sim.HypothesisTestResult: Number of observations the test used.
node - Variable in class jline.api.mdd.MddStruct: node[k][p][v] is the child of arc v of level-k node id p+1: a level-(k+1) node id when k < K-1, or a terminal when k == K-1.
node - Variable in class jline.api.sn.SnMapModulation.MapModulation: Node index of that station.
node - Variable in class jline.inference.lang.ConditionEvent
node - Variable in class jline.inference.lang.SampledMetric
node - Variable in class jline.lang.Environment.NodeFailure: Name of the node that breaks down.
node - Variable in class jline.lang.Event
node - Variable in class jline.lang.ModeEvent
node - Variable in class jline.solvers.CacheResultRecord: Node index in the model that produced the record, for diagnostics only.
node - Variable in class jline.solvers.ctmc.CTMCResult.TranProbAggrResult
node - Variable in class jline.solvers.ctmc.SolverCTMC.EventInfo
node - Variable in class jline.solvers.fluid.petri.PetriMode: Node index of the owning Transition.
node - Variable in class jline.solvers.wrappers.jmt.SolverJMT.EventInfo
Node - Class in jline.lang.nodes: Superclass for a node element within a Network model
Node(String) - Constructor for class jline.lang.nodes.Node: Creates a new node with the specified name.
NodeAttribute - Class in jline.lang: Auxiliary class for information stored within a Node object
NodeAttribute() - Constructor for class jline.lang.NodeAttribute
nodeAvgT() - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable().
nodeAvgT(boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(boolean keepDisabled).
nodeAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
nodeAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
nodeAvgT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(SolverAvgHandles avgHandles).
nodeAvgT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeTable(SolverAvgHandles avgHandles, boolean keepDisabled).
nodeChainAvgT() - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable().
nodeChainAvgT(boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable(boolean keepDisabled).
nodeChainAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
nodeChainAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
nodeChainAvgT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable(SolverAvgHandles avgHandles).
nodeChainAvgT(SolverAvgHandles, boolean) - Method in class jline.solvers.NetworkSolver: Alias for getAvgNodeChainTable(SolverAvgHandles avgHandles, boolean keepDisabled).
NodeClassification(List<Integer>, List<Integer>, List<Integer>, List<Integer>) - Constructor for class jline.api.wf.Wf_analyzer.NodeClassification
nodeCount(int) - Method in class jline.api.mdd.MDD: Number of live nodes at level k.
NodeFailure() - Constructor for class jline.lang.Environment.NodeFailure
nodeIdx - Variable in class jline.solvers.uq.SolverUQ.PriorInfo
nodeIndex - Variable in class jline.io.Ret.ProbabilityResult: The node/station index for marginal probabilities (null for system-wide results).
nodeIndex - Variable in class jline.io.Ret.SampleResult: The node index for single-node sampling (null for system-wide sampling).
nodeIndex - Variable in class jline.lang.nodes.Node
nodenames - Variable in class jline.lang.NetworkStruct
nodeparam - Variable in class jline.lang.NetworkStruct
NodeParam - Class in jline.lang: Base class for node parameters in queueing network models.
NodeParam() - Constructor for class jline.lang.NodeParam: Constructs an empty NodeParam with initialized parameter maps.
nodes - Variable in class jline.lang.layered.LayeredNetwork
nodes - Variable in class jline.lang.Network
nodes - Variable in class jline.lang.NetworkStruct
nodes - Variable in class jline.lang.Region
nodes - Variable in class jline.lang.workflow.Workflow.SPTree: Nodes, in creation order.
nodeSpace - Variable in class jline.solvers.ctmc.CTMCResult
nodesPerLevel - Variable in class jline.api.mdd.MddStats: Reachable node count per level.
nodeStateSpace - Variable in class jline.api.mc.CtmcSsgReachabilityResult
nodeStateSpace - Variable in class jline.lang.state.State.spaceGeneratorNodesResult
nodeStateSpace - Variable in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult
nodeSync - Variable in class jline.api.sn.SnBuildFjSyncMap.FjSyncMap: nodeSync(joinIdx, srcIdx) = groupId; groupId > 0 means srcIdx belongs to sync group groupId at joinIdx, 0 means srcIdx is an independent flow.
nodeToStateful - Variable in class jline.lang.NetworkStruct
nodeToStation - Variable in class jline.lang.NetworkStruct
nodetype - Variable in class jline.lang.NetworkStruct
NodeType - Enum in jline.lang.constant: Enumeration of node types available in queueing network models.
nodevisits - Variable in class jline.lang.NetworkStruct
noiseMatrix(double[]) - Method in class jline.lib.rmf.CacheRMF: Compute noise intensity matrix Q(x) for the DDPP.
nominal - Variable in class jline.solvers.fluid.handlers.FluidRateMultiplier.RateEntry
NON_BCMP_SCHED_FEATURES - Static variable in class jline.solvers.mva.SolverMVA: Scheduling feature names OUTSIDE the BCMP set {INF, PS, FCFS, SIRO, LCFS-PR} that the base MVA envelope declares.
NONE - Enum constant in enum jline.api.sn.ValidationLevel: Skip all validation for maximum performance.
NONE - Static variable in class jline.solvers.tr.TransformMethod: No transformation; the caller solves its own model directly.
nonfjmodel - Variable in class jline.io.Ret.FJApprox
nonmkv - Variable in class jline.solvers.SolverOptions.Config: Method for non-Markovian distribution conversion.
nonmkvorder - Variable in class jline.solvers.SolverOptions.Config: Order (number of phases) for non-Markovian distribution approximation.
nonZeroIterator() - Method in class jline.util.matrix.BaseMatrix: Iterates the non-zero entries of this matrix in column-major order.
nonZeroIterator() - Method in class jline.util.matrix.DenseMatrix: Iterates the non-zero values of this matrix in column-major order, matching the ordering of the sparse iterator.
nonZeroIterator() - Method in class jline.util.matrix.Matrix: Iterates the non-zero entries of this matrix in column-major order, independently of the backing storage format.
nonZeroIterator() - Method in class jline.util.matrix.SparseMatrix: Iterates the stored entries of the CSC structure in column-major order.
noPromote - Variable in class jline.lang.state.EventCacheKey
norm - Variable in class jline.api.da.Da_fpi.Options
norm() - Method in class jline.util.matrix.Matrix: Computes the Euclidean norm of a matrix
norm1() - Method in class jline.util.matrix.Matrix: Computes the 1-norm of the matrix (maximum absolute column sum).
Normal - Class in jline.lang.processes: A normal (Gaussian) distribution.
Normal - Enum constant in enum jline.lang.constant.DepartureDiscipline
Normal(double, double) - Constructor for class jline.lang.processes.Normal
normalErf(double) - Static method in class jline.util.Maths: Computes the error function (erf) of a value.
normalize() - Method in class jline.lang.processes.DMAP
normalize() - Method in class jline.lang.processes.MAP: Normalizes the MAP so that D0+D1 forms a proper infinitesimal generator.
normalize() - Method in class jline.lang.processes.MarkedMAP: Normalizes the MarkedMAP so that D0+D1_agg rows form a proper infinitesimal generator, with the aggregate at index 1 recomputed from the per-type matrices (M3A layout).
normalize() - Method in class jline.lang.processes.MarkedMMPP: Normalizes the MarkedMMPP so that D0+sum(D_i) rows form a proper infinitesimal generator.
normalize() - Method in class jline.lang.processes.MMPP2: Normalizes the MMPP2 so that D0+D1 rows form a proper infinitesimal generator.
NormalizingConstantResult(double, double) - Constructor for class jline.solvers.nc.SolverNC.NormalizingConstantResult
normcdf(double) - Static method in class jline.api.sim.SimDist: Standard normal cumulative distribution function.
normcdf(double) - Static method in class jline.solvers.fluid.moments.FluidClosures: Standard normal cumulative distribution function.
normCdf(double) - Static method in class jline.solvers.fluid.petri.PetriClosures: The standard normal CDF, without a statistics dependency.
normConst - Variable in class jline.api.dqsys.Bernoulli1Result: Normalizing constant H of theorem 2.3.
normConst - Variable in class jline.solvers.nc.SolverNC.NormalizingConstantResult
normFrobenius() - Method in class jline.util.matrix.Matrix: Computes the Frobenius norm of a matrix (alias for norm()).
norminv(double) - Static method in class jline.api.sim.SimDist: Standard normal quantile function.
NormMomsFromMoms - Class in jline.lib.butools
NormMomsFromMoms(double[]) - Static method in class jline.lib.butools.NormMomsFromMoms
normpdf(double) - Static method in class jline.solvers.fluid.moments.FluidClosures: Standard normal probability density function.
normPdf(double) - Static method in class jline.solvers.fluid.petri.PetriClosures: The standard normal density.
note(String) - Static method in class jline.examples.parity.Print: A line of prose, printed as the reference prints it.
note(String, String) - Static method in class jline.io.LineResultRecorder: Record a refusal the run made BY NAME.
Np - Variable in class jline.api.sim.QuantileCIResult: Nonoverlapping batched quantile estimator of the variance parameter.
Np - Variable in class jline.api.sim.StsQuantileStats: Nonoverlapping batched quantile estimator of the variance parameter, NaN when b < 2.
NP - Enum constant in enum jline.lang.constant.SchedStrategyType
np_priority - Variable in class jline.solvers.SolverOptions.Config: Non-preemptive priority handling
npair - Variable in class jline.solvers.fluid.petri.PetriTerms
nparams() - Method in class jline.inference.api.VariationalSpec
npaths - Variable in class jline.api.lqn.LqnRefRoutes.Group: Distinct REF-to-caller routes, counted.
npfqn_bnd_bgt(double[], double[][], int[][], int) - Static method in class jline.api.npfqn.Npfqn_bnd_bgt
Npfqn_bnd_bgt - Class in jline.api.npfqn: Piecewise-linear Lyapunov UPPER bound on the steady-state queue lengths of a multitype (deterministic-routing) multiclass Markovian queueing network, valid for EVERY work-conserving Markovian policy.
Npfqn_bnd_bgt.Result - Class in jline.api.npfqn: Outcome of one solve.
npfqn_bnd_bpt(double[], double[], Matrix, int[], double[]) - Static method in class jline.api.npfqn.Npfqn_bnd_bpt
Npfqn_bnd_bpt - Class in jline.api.npfqn: First-order linear-programming relaxation of the achievable region of a multiclass open Markovian queueing network.
Npfqn_bnd_bpt.Result - Class in jline.api.npfqn: Outcome of one solve.
npfqn_dps_morrison(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.npfqn.Npfqn_dps_morrison: Evaluates Morrison's two-term approximation.
Npfqn_dps_morrison - Class in jline.api.npfqn: Two-term heavy-usage asymptotic approximation for a closed queueing network with one infinite-server (think) station and one discriminatory processor-sharing (DPS) station, after J.A.
Npfqn_dps_morrison() - Constructor for class jline.api.npfqn.Npfqn_dps_morrison
Npfqn_dps_morrison.Result - Class in jline.api.npfqn: Mean queue lengths, sojourn times and throughputs, with the intermediate constants.
npfqn_feedback_elim(Matrix, double[], double[], double[], boolean) - Static method in class jline.api.npfqn.Npfqn_feedback_elim
Npfqn_feedback_elim - Class in jline.api.npfqn: Near-immediate feedback elimination for the robust queueing network analyzer.
npfqn_gtmtst_fluid(DoubleUnaryOperator[], DoubleUnaryOperator[], DoubleUnaryOperator[], DoubleUnaryOperator[], double[][], double, double, double[], double[], double, int) - Static method in class jline.api.npfqn.Npfqn_gtmtst_fluid
Npfqn_gtmtst_fluid - Class in jline.api.npfqn: Time-varying open network of many-server fluid queues with abandonment.
Npfqn_gtmtst_fluid.Result - Class in jline.api.npfqn: Result of the network solve.
npfqn_nonexp_approx(String, NetworkStruct, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.npfqn.Npfqn_nonexp_approx: Approximates non-product-form queueing networks using the specified method.
Npfqn_nonexp_approx - Class in jline.api.npfqn
npfqn_rqna_weight(double) - Static method in class jline.api.npfqn.Npfqn_rqna_weight: Canonical RBM correlation weight function w*(t).
npfqn_rqna_weight(double[]) - Static method in class jline.api.npfqn.Npfqn_rqna_weight: Vector form of the RBM correlation weight function.
Npfqn_rqna_weight - Class in jline.api.npfqn
npfqn_sqd(NetworkStruct) - Static method in class jline.api.npfqn.Npfqn_sqd: Solve a BAS closed network from its NetworkStruct using the default population sn.nclosedjobs and default tuning (calibration mode 0, server blocking time on, downstream neighbor mode, compound V1 policy).
npfqn_sqd(NetworkStruct, int) - Static method in class jline.api.npfqn.Npfqn_sqd: Solve a BAS closed network from its NetworkStruct for a given total population N.
npfqn_sqd(NetworkStruct, int, int, boolean, Npfqn_sqd.NeighborMode, Npfqn_sqd.V1Policy, double[]) - Static method in class jline.api.npfqn.Npfqn_sqd: Solve a BAS closed network from its NetworkStruct.
Npfqn_sqd - Class in jline.api.npfqn
Npfqn_sqd.NeighborMode - Enum in jline.api.npfqn: Selects how downstream blocking is aggregated for a station.
Npfqn_sqd.V1Policy - Enum in jline.api.npfqn: Selects how the load-dependent rate scale V1 is updated across populations.
npfqn_traffic_idc(double[], Matrix, double[], IdcFunction, double[], double[], Npfqn_traffic_idc.PerQueueIdc, boolean, boolean) - Static method in class jline.api.npfqn.Npfqn_traffic_idc: Traffic variability equations for the RQNA.
Npfqn_traffic_idc - Class in jline.api.npfqn
Npfqn_traffic_idc.PerQueueIdc - Interface in jline.api.npfqn: Service-IDC handle whose per-queue evaluation time differs by queue.
npfqn_traffic_merge(Map<Integer, MatrixCell>, String, String) - Static method in class jline.api.npfqn.Npfqn_traffic_merge: Merges MMAP traffic flows with specified configurations.
Npfqn_traffic_merge - Class in jline.api.npfqn
npfqn_traffic_merge_cs(Map<Integer, MatrixCell>, Matrix) - Static method in class jline.api.npfqn.Npfqn_traffic_merge_cs
npfqn_traffic_merge_cs(Map<Integer, MatrixCell>, Matrix, String) - Static method in class jline.api.npfqn.Npfqn_traffic_merge_cs: Merges MMAP traffic flows with class switching.
Npfqn_traffic_merge_cs - Class in jline.api.npfqn
npfqn_traffic_rqt(double[], double[], double[], Matrix) - Static method in class jline.api.npfqn.Npfqn_traffic_rqt: Effective arrival process perceived at each node of a single-class open queueing network under the Robust Queueing Theory calculus.
Npfqn_traffic_rqt - Class in jline.api.npfqn
npfqn_traffic_split_cs(MatrixCell, Matrix) - Static method in class jline.api.npfqn.Npfqn_traffic_split_cs: Splits MMAP traffic flows with class switching.
Npfqn_traffic_split_cs - Class in jline.api.npfqn
npfqn_traffic_split_rr(NetworkStruct) - Static method in class jline.api.npfqn.Npfqn_traffic_split_rr: Deterministic (round-robin) split degree of the departure stream of each station-class.
Npfqn_traffic_split_rr - Class in jline.api.npfqn
npfqnNonexpApprox(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.npfqnNonexpApprox
nph - Variable in class jline.api.spn.Spn_mdd.SpnMode
nph - Variable in class jline.solvers.fluid.petri.PetriMode: Number of phases of the firing process; 0 for an immediate mode.
nphases - Variable in class jline.api.mdd.MddDescriptor: Phases per station, 1 when exponential.
nPhases - Variable in class jline.lang.processes.Markovian
nPhases - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
nplacelevels - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
nplacelevels - Variable in class jline.api.spn.Spn_mdd.SpnInfo
npop - Variable in class jline.solvers.ln.SolverLN.PHLayer: Closed population of the MODEL this server sits in.
NPPrio - Enum constant in enum jline.lang.constant.SchedStrategyType
NPPRIO - Static variable in class jline.api.pfqn.Pfqn_mwrbb
nregions - Variable in class jline.lang.NetworkStruct
nrejct - Variable in class jline.util.ode.Rodas.Result
nreplicas - Variable in class jline.solvers.ln.SolverLN.PHLayer: Replicas of the server station.
nrl_h(Matrix, Matrix, double, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_nrl
nrm_direct(Matrix, List<Integer>[], BiFunction<Matrix, ArrayDeque<Integer>[], Double>[], Matrix, ArrayDeque<Integer>[], int, SolverOptions, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, NetworkStruct, List<Integer>, List<int[]>, double[], Solver_ssa_nrm.Fcr, Solver_ssa_nrm.Balk, Solver_ssa_nrm.Sig, Solver_ssa_nrm.Rr, boolean[], boolean[], Solver_ssa_nrm.Smap, int, boolean[], boolean, Polling.Info[], boolean[], int[][], boolean[], int[], double[][][], boolean[], boolean[], List<Integer>, int[], boolean[], int[], int[], boolean[], int[][], long[][], long[][], int[][]) - Static method in class jline.solvers.ssa.handlers.Solver_ssa_nrm
nrm_space(Matrix, List<List<Integer>>, BiFunction<Matrix, ArrayDeque<Integer>[], Double>[], Matrix, ArrayDeque<Integer>[], int, SolverOptions, Map<String, double[]>, List<int[]>, double[], int, NetworkStruct) - Static method in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space
nrm_spn(NetworkStruct, SolverOptions, Solver_ssa_nrm.Smap, int) - Static method in class jline.solvers.ssa.handlers.Solver_ssa_nrm
nrmEligibleReason(NetworkStruct) - Static method in class jline.solvers.ssa.analyzers.Solver_ssa_analyzer
nrmMethodRefusal(NetworkStruct) - Static method in class jline.solvers.ssa.analyzers.Solver_ssa_analyzer: Whether the NRM engine can run this model, as a SENTENCE.
NrmSpaceResult(List<Double>, Matrix, List<ArrayDeque<Integer>[]>) - Constructor for class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.NrmSpaceResult
nrows - Variable in class jline.api.npfqn.Npfqn_bnd_bpt.Result: Number of LP rows.
nrows - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
nrp_h(Matrix, Matrix, double, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_nrp
ns - Variable in class jline.api.pfqn.mva.SjnOptions: Number of grid subdivisions of the job size axis, even.
ns - Variable in class jline.solvers.ag.handlers.RcatComponent
nsamples - Variable in class jline.inference.api.VariationalOptions
nsamples - Variable in class jline.io.Ret.lossnMCI
nservers - Variable in class jline.inference.api.VariationalSpec: (M) number of servers.
nservers - Variable in class jline.io.Ret.npfqnNonexpApprox
nservers - Variable in class jline.lang.NetworkStruct
nServers - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
nservertypes - Variable in class jline.lang.nodeparam.ServiceNodeParam: Number of server types at this station; 0 indicates a homogeneous queue.
NSF_GHT - Class in jline.lib.smc
nsfGht(Matrix, int) - Static method in class jline.lib.smc.NSF_GHT
nsfGht(Matrix, int, NSFGHTOptions) - Static method in class jline.lib.smc.NSF_GHT: Gail-Hantler-Taylor algorithm for Non-Skip-Free Markov chains.
NSFGHTOptions - Class in jline.lib.smc: Options for NSF_GHT solver.
NSFGHTOptions() - Constructor for class jline.lib.smc.NSFGHTOptions
NSFGHTOptions(int) - Constructor for class jline.lib.smc.NSFGHTOptions
NSFGHTOptions(int, int, boolean) - Constructor for class jline.lib.smc.NSFGHTOptions
nsfPi(Matrix, Matrix, Matrix) - Static method in class jline.lib.smc.NSF_GHT
nsfPi(Matrix, Matrix, Matrix, NSFPiOptions) - Static method in class jline.lib.smc.NSF_GHT: NSF_pi - Stationary vector of a Non-Skip-Free Markov chain.
NSFPiOptions - Class in jline.lib.smc: Options for NSF_pi solver.
NSFPiOptions() - Constructor for class jline.lib.smc.NSFPiOptions
NSFPiOptions(int, boolean) - Constructor for class jline.lib.smc.NSFPiOptions
NSFPiOptions(int, boolean, boolean) - Constructor for class jline.lib.smc.NSFPiOptions
nsol - Variable in class jline.util.ode.Rodas.Result
nstages - Variable in class jline.io.MAPQN2RENV.RenvImage: Number of stages, i.e.
nstate - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
nstate - Variable in class jline.solvers.fluid.petri.PetriTerms
nstateful - Variable in class jline.lang.NetworkStruct
nstates - Variable in class jline.api.pfqn.PfqnResptPsResult: Size of the exact state space that the tagged class would need.
nstates - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
nstates - Variable in class jline.solvers.mam.handlers.Mam_bgchain_ctmc.Result
nstations - Variable in class jline.lang.NetworkStruct
nstations() - Method in class jline.inference.api.VariationalSpec
nstep - Variable in class jline.util.ode.Rodas.Result
NTAIL - Static variable in class jline.api.fes.Fes_map_grid: Equispaced points above them.
ntasks - Variable in class jline.lang.layered.LayeredNetworkStruct
ntypes - Variable in class jline.lang.state.CtmcPool: Number of pools.
nu - Variable in class jline.inference.api.VariationalResult: (T x G x ymax+1) variational rates.
nudgedOffKink(double[], double[], double) - Method in class jline.solvers.fluid.moments.FluidMomentTerms: The state with every kinked station moved strictly onto one side of its kink.
nudgedOffKink(double[], double[], double) - Method in class jline.solvers.fluid.moments.FluidRateFactors: A copy of x with every station sitting on its saturation kink moved to c_i*(1+rel), i.e.
nullvec(Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Left null vector of KA via the CRPSolve algorithm (column, no generator check).
num - Variable in class jline.api.sym.SymEngine.CTMCMeasures: Numerator of each entry over the common denominator SymEngine.CTMCMeasures.den
num - Variable in class jline.api.sym.SymEngine.CTMCSolution: Numerator of each entry over the common denominator SymEngine.CTMCSolution.den
num - Variable in class jline.api.sym.SymEngine.Measure: Numerator of SymEngine.Measure.expr, null when undefined
num - Variable in class jline.api.sym.SymEngine.RatioSpec: Index of the numerator measure
num_cdf_pts - Variable in class jline.solvers.SolverOptions.Config: Number of points for CDF (Cumulative Distribution Function) computation.
num_grad_h(Matrix, double, SerializableFunction<Matrix, Matrix>) - Static method in class jline.util.Maths
num_grad_h_complex(Matrix, double, SerializableFunction<Matrix, ComplexMatrix>) - Static method in class jline.util.Maths
num_hess_h(Matrix, double, SerializableFunction<Matrix, Matrix>) - Static method in class jline.util.Maths
num_hess_h_complex(Matrix, double, SerializableFunction<Matrix, ComplexMatrix>) - Static method in class jline.util.Maths
numberOfModels() - Method in class jline.solvers.EnsembleSolver
numberOfPhases() - Method in class jline.lang.processes.Coxian: Property alias for getNumberOfPhases
numberOfPhases() - Method in class jline.lang.processes.Exp: Property alias for getNumberOfPhases
numberOfPhases() - Method in class jline.lang.processes.HyperExp: Property alias for getNumberOfPhases
numberOfPhases() - Method in class jline.lang.processes.Markovian: Property alias for getNumberOfPhases
numberOfPhases() - Method in class jline.lang.processes.PH: Property alias for getNumberOfPhases
numberOfServers - Variable in class jline.lang.nodes.Router
numberOfServers - Variable in class jline.lang.nodes.Station
numberOfServers - Variable in class jline.lang.sections.ServiceSection
numClasses - Variable in class jline.io.Ret.DistributionResult: Number of job classes in the model.
numComponents - Variable in class jline.lib.kpctoolbox.mc.CTMC.ConnectedComponents
numComponents - Variable in class jline.lib.kpctoolbox.mc.CTMC.CTMCSolveResult
numEvents - Variable in class jline.io.Ret.SampleResult: Number of samples generated.
numMAPs - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
numNodes - Variable in class jline.api.mdd.MddStats: Reachable non-terminal nodes.
numParam - Variable in class jline.lang.processes.Distribution
numParams() - Method in class jline.lang.processes.Process: Property alias for getNumParams
numParams(int) - Method in class jline.lang.processes.Distribution: Property alias for getNumParams(int id)
numPhases - Variable in class jline.lib.m3a.M3A.PhaseTypeParameters
numPhases() - Method in class jline.lang.processes.Coxian: Property alias for getNumberOfPhases
numPhases() - Method in class jline.lang.processes.Exp: Property alias for getNumberOfPhases
numPhases() - Method in class jline.lang.processes.HyperExp: Property alias for getNumberOfPhases
numPhases() - Method in class jline.lang.processes.Markovian: Property alias for getNumberOfPhases
numPhases() - Method in class jline.lang.processes.PH: Property alias for getNumberOfPhases
NumpyRandomState - Class in jline.opt.solver.de: Bit-exact port of the subset of numpy.random.RandomState consumed by scipy's differential_evolution.
NumpyRandomState(long) - Constructor for class jline.opt.solver.de.NumpyRandomState
NumpyRandomState(MT19937) - Constructor for class jline.opt.solver.de.NumpyRandomState
numSCCs - Variable in class jline.lang.Network.RoutingErgodicityResult
numSCCs - Variable in class jline.lang.RoutingErgodicity.ReducibilityInfo: Number of strongly connected components of the routing graph.
numStates - Variable in class jline.api.mdd.MddStats: |S|.
numStates - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
numStates - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult: |S|.
numStations - Variable in class jline.io.Ret.DistributionResult: Number of stations in the model.
numThreads - Variable in class jline.solvers.EnsembleSolver
numThreads - Variable in class jline.solvers.ldes.LDESOptions: Number of parallel threads for replication execution.
numThreads - Variable in class jline.solvers.ssa.SolverSSA
numThreads() - Method in class jline.solvers.EnsembleSolver
numWaitingSpaces - Variable in class jline.api.qsys.QsysAbandonResult: Waiting spaces actually used, which is the truncation level when r is infinite.
nv - Variable in class jline.util.Maths.simplexQuadResult
nvars - Variable in class jline.api.npfqn.Npfqn_bnd_bpt.Result: Number of LP variables.
nvars - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
nvars - Variable in class jline.lang.NetworkStruct
nworkers - Variable in class jline.solvers.ag.AGOptions: Thread-pool size for AGOptions.EXEC_PARALLEL; 0 means one thread per available processor.
nworkers(int) - Method in class jline.solvers.ag.AGOptions

O

objective - Variable in class jline.api.mam.QPResult
Objective - Class in jline.opt.objectives: Abstract base for line-opt objectives.
Objective() - Constructor for class jline.opt.objectives.Objective
objectiveHistory - Variable in class jline.opt.results.WorkflowResult
objectiveValue - Variable in class jline.opt.pareto.ParetoPoint
objectiveValue - Variable in class jline.opt.results.OptimizationResult
obmoverlap - Variable in class jline.solvers.ldes.LDESOptions: Overlap fraction for OBM confidence intervals (0.0 to 1.0).
obsData - Variable in class jline.inference.api.VariationalSpec: (K x M*R) observed queue lengths, NaN where not observed.
obsRange - Variable in class jline.inference.api.VariationalSpec: (M*R) support size of the uniform contamination.
ObsSpec - Class in jline.api.infer: Specification of an observed LQN performance metric.
ObsSpec(ObsSpec.Metric, String) - Constructor for class jline.api.infer.ObsSpec
ObsSpec.Metric - Enum in jline.api.infer: Kind of performance metric observed.
obsTimes - Variable in class jline.inference.api.VariationalSpec: (K) observation epochs.
ode - Variable in class jline.inference.api.Infer_fluid_ps_rt_likelihood.FluidPsRtResult
ode - Variable in class odesolver.LSODA
OdeFunction - Interface in jline.lib.ode: Functional interface for the ODE right-hand side: dy/dt = f(t, y).
odemaxstep - Variable in class jline.solvers.SolverOptions.ODESolvers: Maximum step size for ODE integration
odeminstep - Variable in class jline.solvers.SolverOptions.ODESolvers: Minimum step size for ODE integration
odesolver - package odesolver
odesolvers - Variable in class jline.solvers.SolverOptions: ODE solver configurations for fluid analysis
ODESolvers() - Constructor for class jline.solvers.SolverOptions.ODESolvers
odeStateVec - Variable in class jline.solvers.fluid.FluidResult: ODE state vector solution from fluid approximation
of(double) - Static method in class jline.api.snc.Snc_env_poisson
of(double) - Static method in class jline.api.snc.Snc_srv_exp
of(double) - Static method in class jline.api.snc.Snc_srv_rate
of(double, double) - Static method in class jline.api.snc.Snc_env_cpoisson
of(double, double) - Static method in class jline.api.snc.Snc_env_tokenbucket
of(String...) - Static method in class jline.util.symbolic.SymContext: A context over the given variable names, in the order given.
of(String, String) - Static method in class jline.solvers.MethodType: Banner classification of a solution method.
of(List<String>) - Static method in class jline.util.symbolic.SymContext: A context over the given variable names, in the order given.
of(SncEnvelope, SncEnvelope) - Static method in class jline.api.snc.Snc_conv
of(SncEnvelope, SncEnvelope) - Static method in class jline.api.snc.Snc_leftover
of(SncEnvelope, SncEnvelope) - Static method in class jline.api.snc.Snc_output
of(Matrix, Matrix) - Static method in class jline.api.snc.Snc_env_map
of(SymContext, double[][]) - Static method in class jline.util.matrix.SymMatrix: A matrix of the given numeric values, carried in exactly.
off - Variable in class jline.lang.state.CtmcPool: off[r][k], len[r][k]: offset and length of block k in the class-r server block.
off - Variable in class jline.lang.state.ReplyBlock.Info: Offset of the block inside the node's local-variable vector.
offeredLoadPSA - Variable in class jline.api.qsys.QsysMtginfResult: ES*lambda(t), the pointwise stationary approximation.
offeredWait - Variable in class jline.api.qsys.QsysFluidAbandonResult: w, the wait of every customer who is served; 0 unless overloaded.
OI - Enum constant in enum jline.lang.constant.SchedStrategy: Order-independent - pass-and-swap specialization whose swap graph is always empty/zero
ok - Variable in class jline.lang.nodes.Queue.MonoCheckResult
ok - Variable in class jline.lang.nodes.Queue.PermCheckResult
ok - Variable in class jline.solvers.ctmc.MemoryGuard.GateResult
ok - Variable in class jline.solvers.fluid.petri.PetriApplicable.Verdict
omega - Variable in class jline.lib.lti.iltcme.CmeEntry
on(Processor) - Method in class jline.lang.layered.FunctionTask: Deprecated.
on(Processor) - Method in class jline.lang.layered.SetupTask
on(Processor) - Method in class jline.lang.layered.Task
on(Task) - Method in class jline.lang.layered.Activity
on(Task) - Method in class jline.lang.layered.Entry
on(Task) - Method in class jline.lang.layered.ItemEntry
onClose(int, String, boolean) - Method in class jline.cli.LineWebSocketClient
onClose(WebSocket, int, String, boolean) - Method in class jline.cli.LineWebSocketServer: Called when a connection is closed.
one() - Method in class jline.util.symbolic.SymContext
oneMinusMatrix(Matrix) - Static method in class jline.util.matrix.Matrix: Computes the matrix 1 - A, where diagonal entries become 1 - A(i, i) and off-diagonal entries become -A(i, j).
oner(Matrix, Integer) - Static method in class jline.util.matrix.Matrix: Decreases a single element of an integer vector by one.
oner(Matrix, List<Integer>) - Static method in class jline.util.matrix.Matrix: Decreases multiple elements of an integer vector by one.
onError(Exception) - Method in class jline.cli.LineWebSocketClient
onError(WebSocket, Exception) - Method in class jline.cli.LineWebSocketServer: Called when an error occurs.
ones() - Method in class jline.util.matrix.Matrix: Fills the matrix with ones.
ones(int) - Static method in class jline.lib.kpctoolbox.basic.BasicUtils: Creates a column vector of ones.
ones(int, int) - Static method in class jline.util.matrix.Matrix: Creates a matrix of the given shape filled with ones.
onlyAC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
onMessage(String) - Method in class jline.cli.LineWebSocketClient
onMessage(WebSocket, String) - Method in class jline.cli.LineWebSocketServer: Called when a message is received from a client.
onMessage(WebSocket, ByteBuffer) - Method in class jline.cli.LineWebSocketServer: Called when a binary message is received from a client.
onOpen(ServerHandshake) - Method in class jline.cli.LineWebSocketClient
onOpen(WebSocket, ClientHandshake) - Method in class jline.cli.LineWebSocketServer: Called when a new client connection is opened.
onStart() - Method in class jline.cli.LineWebSocketServer: Called when the server is started.
OPEN - Enum constant in enum jline.lang.constant.JobClassType: Open class - jobs arrive from external sources and depart the system
openArrivals - Variable in class jline.solvers.ln.SolverLN.PHLayer: Open classes: {class index, entry index} or {class index, -call index}.
OpenBMMAPtModel - Class in jline.examples.java.basic: Open queueing network whose arrival stream is a BATCH, MARKED, time-inhomogeneous MAP.
OpenBMMAPtModel() - Constructor for class jline.examples.java.basic.OpenBMMAPtModel
OpenClass - Class in jline.lang: A class of jobs that arrives from the external world to the Network and, after completion, leaves it
OpenClass(Network, String) - Constructor for class jline.lang.OpenClass: Creates a new open job class with default priority (0).
OpenClass(Network, String, int) - Constructor for class jline.lang.OpenClass: Creates a new open job class with the specified priority.
OpenClass(Network, String, int, double) - Constructor for class jline.lang.OpenClass: Creates a new open job class with the specified priority and deadline.
OpenExamples - Class in jline.examples.java.basic: Open queueing network examples mirroring the example notebooks in openQN.
OpenExamples() - Constructor for class jline.examples.java.basic.OpenExamples
OpenMAPtModel - Class in jline.examples.java.basic: Open queueing network with a MAP_t arrival process and the Ko-Pender limits.
OpenMAPtModel() - Constructor for class jline.examples.java.basic.OpenMAPtModel
OpenMAPtServiceModel - Class in jline.examples.java.basic: Open queue with a MAP_t SERVICE process, simulated by LDES.
OpenMAPtServiceModel() - Constructor for class jline.examples.java.basic.OpenMAPtServiceModel
OpenMMAPtModel - Class in jline.examples.java.basic: Open queueing network whose arrival stream is a MARKED, time-inhomogeneous MAP.
OpenMMAPtModel() - Constructor for class jline.examples.java.basic.OpenMMAPtModel
OpenModel - Class in jline.examples.java.basic: Examples of open queueing networks
OpenModel() - Constructor for class jline.examples.java.basic.OpenModel
OpenNHPPModel - Class in jline.examples.java.basic: Open queueing network with an NHPP (cyclic) arrival process.
OpenNHPPModel() - Constructor for class jline.examples.java.basic.OpenNHPPModel
openPopulation - Variable in class jline.inference.lang.EstimatorOptions
OpenSignal - Class in jline.lang: An open signal class representing special customers in G-networks and related models.
OpenSignal(Network, String, SignalType) - Constructor for class jline.lang.OpenSignal: Creates a new open signal class with the specified type and default priority (0).
OpenSignal(Network, String, SignalType, int) - Constructor for class jline.lang.OpenSignal: Creates a new open signal class with the specified type and priority.
OpenSignal(Network, String, SignalType, int, DiscreteDistribution, RemovalPolicy) - Constructor for class jline.lang.OpenSignal: Creates a new open signal class with full configuration for batch removal.
operands - Variable in class jline.io.tikz.SequenceDiagramTraverser.Fragment
OPT - Enum constant in enum jline.io.tikz.SequenceDiagramTraverser.Fragment.FragmentType
optim - Variable in class jline.lib.lti.iltcme.CmeEntry
optimise_lambda(ArrayList<Apcomplex>, ArrayList<Apcomplex>) - Static method in class jline.lib.lti.abatewhitt
optimiser_laplace(Apcomplex) - Static method in class jline.lib.lti.abatewhitt
optimizationInsights - Variable in class jline.api.wf.WorkflowManager.WorkflowAnalysisResult
OptimizationProblem - Class in jline.opt: Declarative specification of a queueing-network optimization problem: a LINE model, decision variables, an objective, constraints, optional fixed variables (for decomposition) and optional workload scenarios (for robust optimization).
OptimizationProblem(LayeredNetwork) - Constructor for class jline.opt.OptimizationProblem
OptimizationProblem(Network) - Constructor for class jline.opt.OptimizationProblem
OptimizationResult - Class in jline.opt.results: Result from a single optimization run.
OptimizationResult() - Constructor for class jline.opt.results.OptimizationResult
optimizedWorkflow - Variable in class jline.api.wf.Wf_analyzer.WorkflowAnalysis
optimizeParameters(Double[], M3aUtils.ObjectiveFunction, M3aUtils.ConstraintFunction[]) - Static method in class jline.lib.m3a.M3aUtils
optimizeParameters(Double[], M3aUtils.ObjectiveFunction, M3aUtils.ConstraintFunction[], double) - Static method in class jline.lib.m3a.M3aUtils: Optimizes MMAP parameters using COBYLA optimization.
optimizer - Variable in class jline.opt.solver.LineOptSolverOptions: 'evolution', 'gradient', or 'auto'.
OptimUtils - Class in jline.inference.util: Optimization utilities for inference algorithms.
options - Variable in class jline.inference.lang.ParamEstimator
options - Variable in class jline.solvers.fluid.petri.PetriTerms
options - Variable in class jline.solvers.mva.handlers.MVARunner
options - Variable in class jline.solvers.Solver: Configuration options for the solver
options() - Method in class jline.solvers.NetworkSolver: Returns a fluent configurator for this solver's options, allowing chained calls such as solver.options().method("parallel").samples(20000) .seed(1).build().
Options() - Constructor for class jline.api.lqn.Lqn_mol.Options
Options() - Constructor for class jline.api.pfqn.nc.Pfqn_clw.Options
Options() - Constructor for class jline.io.LQN2UML.Options
Options() - Constructor for class jline.util.ode.Rodas.Options
Options(int, double, Da_fpi.Norm<T>) - Constructor for class jline.api.da.Da_fpi.Options
oqn_basic() - Static method in class jline.examples.java.basic.OpenExamples
oqn_basic() - Static method in class jline.examples.java.basic.OpenModel: Simple open network with delay and queue in series.
oqn_bmmapt() - Static method in class jline.examples.java.basic.OpenExamples: A BATCH, MARKED, time-inhomogeneous MAP arrival stream (oqn_bmmapt.m / .py / .cpp).
oqn_cs_routing() - Static method in class jline.examples.java.basic.OpenExamples: Three-class open network with class switching (oqn_cs_routing.ipynb).
oqn_cs_routing() - Static method in class jline.examples.java.basic.OpenModel: Three-class open network with class switching.
oqn_fourqueues() - Static method in class jline.examples.java.basic.OpenExamples: Complex multi-class open network with four queues (oqn_fourqueues.ipynb).
oqn_fourqueues() - Static method in class jline.examples.java.basic.OpenModel: Complex multi-class open network with four queues.
oqn_mapt_service() - Static method in class jline.examples.java.basic.OpenExamples: A time-inhomogeneous MAP as the SERVICE process (oqn_mapt_service.m / .py / .cpp).
oqn_mapt_service() - Static method in class jline.examples.java.basic.OpenMAPtServiceModel: Open M/MAP_t/1/5 whose Queue serves under a three-segment 2-phase MAP_t.
oqn_mmapt() - Static method in class jline.examples.java.basic.OpenExamples: A MARKED, time-inhomogeneous MAP arrival stream (oqn_mmapt.m / .py / .cpp).
oqn_nhpp() - Static method in class jline.examples.java.basic.OpenExamples: Non-homogeneous Poisson arrivals (oqn_nhpp.ipynb).
oqn_nhpp() - Static method in class jline.examples.java.basic.OpenNHPPModel: Open M/M/1 whose Source uses a cyclic NHPP arrival stream.
oqn_oneline() - Static method in class jline.examples.java.basic.OpenExamples: One-line tandem PS network specification (oqn_oneline.ipynb).
oqn_oneline() - Static method in class jline.examples.java.basic.OpenModel: Tandem PS network with delay station using matrix notation.
oqn_trace_driven() - Static method in class jline.examples.java.basic.OpenExamples: Open network with trace-driven service (oqn_trace_driven.ipynb).
oqn_trace_driven() - Static method in class jline.examples.java.basic.OpenModel: Open network with trace-driven service using Replayer.
oqn_vsinks() - Static method in class jline.examples.java.basic.OpenExamples: Open network with virtual sinks (oqn_vsinks.ipynb).
oqn_vsinks() - Static method in class jline.examples.java.basic.OpenModel: Open network with probabilistic routing to multiple virtual sinks.
OQNBenchmarkResult(String, Map<String, Object>) - Constructor for class jline.bench.oqn.OQNResultsFormatter.OQNBenchmarkResult
OQNResultsAccumulator() - Constructor for class jline.bench.oqn.OQNResultsFormatter.OQNResultsAccumulator
OQNResultsFormatter - Class in jline.bench.oqn: Formats OQN benchmark results in MATLAB-style output format
OQNResultsFormatter() - Constructor for class jline.bench.oqn.OQNResultsFormatter
OQNResultsFormatter.OQNBenchmarkResult - Class in jline.bench.oqn: Benchmark result data structure
OQNResultsFormatter.OQNResultsAccumulator - Class in jline.bench.oqn: Accumulates benchmark results for batch formatting
orbit_maxlevel - Variable in class jline.solvers.SolverOptions.Config: Fixed orbit truncation level for the matrix-analytic retrial solver.
orbit_tailtol - Variable in class jline.solvers.SolverOptions.Config: Relative orbit-truncation error target of the adaptive refinement in the matrix-analytic retrial solver.
orbitAvgT() - Method in class jline.solvers.NetworkSolver
orbitImpatience - Variable in class jline.lang.NetworkStruct
orbitImpatienceDistributions - Variable in class jline.lang.nodes.Station
orbitMaxJobs - Variable in class jline.lang.NetworkStruct: Orbit capacity per station-class; -1 (or an absent entry) means unbounded.
orbitMaxJobs - Variable in class jline.lang.nodes.Station
order - Variable in class jline.api.sn.SnMapModulation.MapModulation: Number of phases of the modulating chain.
order - Variable in class jline.lib.m3a.M3A.CoxianParameters
order - Variable in class jline.lib.m3a.M3A.ErlangParameters
order - Variable in class jline.lib.m3a.M3A.HyperExpParameters
order - Variable in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer.DtModel: Station indices in cycle order (cycle).
ORDER - Enum constant in enum jline.lang.constant.HeteroSchedPolicy: Assign to first available compatible server type in definition order.
orderedSchur(Matrix, double) - Static method in class jline.lib.butools.mam.FluidTools: Real Schur decomposition of A reordered so that the eigenvalues appear grouped as [zero real-part, negative real-part, positive real-part], the ordering used by MATLAB's ordschur in the multi-regime fluid solver.
orderedSchurRhp(Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Real Schur decomposition of A reordered so that eigenvalues with positive real part appear in the leading block, matching MATLAB's ordschur(U,T,'rhp').
orders - Variable in class jline.io.MAPQN2RENV.RenvImage: Phase order of each modulated process.
orders - Variable in class jline.lib.kpctoolbox.erchmm.ERCHMMFitResult
OrFork(String, List<String>, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an OR-fork relationship with a specified probability matrix.
OrFork(Activity, List<Activity>, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an OR-fork relationship with a specified probability matrix.
OrFork(WorkflowActivity, List<WorkflowActivity>, double[]) - Static method in class jline.lang.workflow.Workflow
org.apache.commons.math3.ode.nonstiff - package org.apache.commons.math3.ode.nonstiff
originalModel - Variable in class jline.api.fes.FESDeaggInfo
originalModel - Variable in class jline.solvers.uq.SolverUQ
originalSn - Variable in class jline.lang.ModelAdapter.DeaggInfo
originalWorkflow - Variable in class jline.api.wf.Wf_analyzer.WorkflowAnalysis
OrJoin(List<String>, String) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an OR-join relationship.
OrJoin(List<Activity>, Activity) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an OR-join relationship.
OrJoin(List<WorkflowActivity>, WorkflowActivity) - Static method in class jline.lang.workflow.Workflow
orth(Matrix) - Static method in class jline.solvers.fluid.moments.FluidLyapunov: Orthonormal basis of the column space, mirroring MATLAB orth: the left singular vectors whose singular value exceeds max(size(A))*eps*max(s).
OTHER - Enum constant in enum jline.io.ModelVisualizer.NodeType
otherFACs - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitResult
otherFBCs - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitResult
otherMAPs - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitResult
OtlpMetricsClient - Class in jline.streaming: OTLP gRPC client for sending metrics to line-est receiver.
OtlpMetricsClient(String, String) - Constructor for class jline.streaming.OtlpMetricsClient: Create a new OTLP metrics client (dry-run mode allowed on connection failure).
OtlpMetricsClient(String, String, boolean) - Constructor for class jline.streaming.OtlpMetricsClient: Create a new OTLP metrics client.
outcomp - Variable in class jline.lang.state.AfterGlobalEvent.AfterGlobalEventResult: Column vector aligned with outrate: 1.0 when that outcome is a firing completion (a D1 firing of the active mode, which applies the PRE/POST place updates), 0.0 otherwise (e.g.
outerForks - Variable in class jline.io.Ret.FJApprox: sort_forks output, cached alongside the transformation it describes.
outerForks - Variable in class jline.io.Ret.FJsortForks
outerIters - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Newton steps taken, summed over the active-set passes.
outerIters - Variable in class jline.solvers.fluid.analyzers.MinNormalAnalyzer: Number of outer (mean, covariance) iterations performed.
outGlobalStates - Variable in class jline.lang.state.AfterFJEvent.AfterFJEventResult
outglspace - Variable in class jline.lang.state.AfterGlobalEvent.AfterGlobalEventResult: Updated global state space after event processing.
outhash - Variable in class jline.io.Ret.afterEventHashedOrAddResult
outlinks - Variable in class jline.lang.NodeParam: Outbound link specifications by job class - defines outgoing connections
outpreempt - Variable in class jline.io.Ret.EventResult: PREEMPT annotation of each successor: outpreempt(i,r) counts the class-r jobs pushed back into the buffer on successor row i.
outprob - Variable in class jline.io.Ret.afterEventHashedOrAddResult
outprob - Variable in class jline.io.Ret.EventResult
outprob - Variable in class jline.lang.state.AfterFJEvent.AfterFJEventResult
outprob - Variable in class jline.lang.state.AfterGlobalEvent.AfterGlobalEventResult: Probability matrix for each resulting state transition.
outprob - Variable in class jline.lang.state.State.EventHandleResult
output - Variable in class jline.lang.nodes.Node
OutputSection - Class in jline.lang.sections: Output section of a node
OutputSection(String) - Constructor for class jline.lang.sections.OutputSection
outputStrategies - Variable in class jline.lang.sections.OutputSection
OutputStrategy - Class in jline.lang: Class modelling the output section of a Node
OutputStrategy(JobClass, RoutingStrategy) - Constructor for class jline.lang.OutputStrategy
OutputStrategy(JobClass, RoutingStrategy, Node, double) - Constructor for class jline.lang.OutputStrategy
outrate - Variable in class jline.io.Ret.afterEventHashedOrAddResult
outrate - Variable in class jline.io.Ret.EventResult
outrate - Variable in class jline.lang.state.AfterFJEvent.AfterFJEventResult
outrate - Variable in class jline.lang.state.AfterGlobalEvent.AfterGlobalEventResult: Transition rates matrix for each resulting state.
outrate - Variable in class jline.lang.state.State.EventHandleResult
outspace - Variable in class jline.io.Ret.EventResult
outspace - Variable in class jline.lang.state.State.EventHandleResult
outspace - Variable in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.SolverSSAResultNRMSpace
outstart - Variable in class jline.io.Ret.EventResult: START annotation of each successor: outstart(i,r) counts the class-r jobs that begin, or resume, holding a server on successor row i.
overtakeProb(int) - Method in class jline.solvers.ln.SolverLN: Compute overtaking probability using transient Markov chain.
overtakeProbMarkov(int) - Method in class jline.solvers.ln.SolverLN: Overtaking probability at server entry EIDX from the phased-server jump chain of Franks (1999), Sec.
OWNSERVER - Enum constant in enum jline.api.npfqn.Npfqn_sqd.NeighborMode
ownsLog() - Static method in class jline.io.LineConsole

P

p - Variable in class jline.api.fj.FJ_parallel.FJResptBulkResult
p - Variable in class jline.api.mc.Ctmc_multi.CtmcMultiResult
p - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: Approximation of Pr{N(t)=k}.
p - Variable in class jline.api.pfqn.sens.Pfqn_hst.Result: P(n_i = k), k = 0..N.
p - Variable in class jline.api.qsys.QsysWorkloadResult: p[h] = Pr{x = h}, the stationary number in system, h = 0..N.
p - Variable in class jline.io.Ret.pfqnSensRespt
p - Variable in class jline.lang.state.CtmcMapc: Number of phases of the original MAP.
P - Variable in class jline.api.fj.FJ_parallel.FJSerializationResult
P - Variable in class jline.api.infer.InferLqnResult
P - Variable in class jline.api.mdd.MddDescriptor: Station-to-station routing matrix.
P - Variable in class jline.api.npfqn.Npfqn_traffic_idc
P - Variable in class jline.io.Ret.LinearizerResult
P - Variable in class jline.io.Ret.pfqnAMVASchmidt: State probabilities per station
P - Variable in class jline.lib.rmf.CacheRMF.DimensionReduction
P - Variable in class jline.lib.rmf.CacheRMF.ReducedSystem
P - Variable in class jline.solvers.ln.SolverLN.recurActGraphReturnType
P_1 - Variable in class jline.io.Ret.pfqnEstimate
P_1 - Variable in class jline.io.Ret.pfqnLinearizerMSEstimate
P_empty_orbit - Variable in class jline.api.qsys.QsysRetrialResult
P_empty_system - Variable in class jline.api.qsys.QsysRetrialResult
P_idle - Variable in class jline.api.qsys.QsysRetrialResult
p_norm - Variable in class jline.solvers.mam.handlers.Mam_truncate_renorm.Result: renormalized truncated marginal, 1x(capK+1).
p0 - Variable in class jline.api.qsys.QsysMapG1kPerflowResult: 1 x N, P(buffer empty) in the n-th model.
p0 - Variable in class jline.api.qsys.QsysMapG1kResult: P(buffer empty).
p0 - Variable in class jline.api.qsys.QsysMmapG1kResult: P(buffer empty).
P0 - Variable in class jline.api.infer.InferLqnOptions
P0 - Variable in class jline.api.infer.InferLqnResult
p0vec - Variable in class jline.api.qsys.QsysMapG1kResult: 1 x M, P(level = 0, phase j), summing to p0.
P11 - Variable in class jline.api.mc.Dtmc_stochcomp.DtmcStochCompResult
P12 - Variable in class jline.api.mc.Dtmc_stochcomp.DtmcStochCompResult
P21 - Variable in class jline.api.mc.Dtmc_stochcomp.DtmcStochCompResult
P22 - Variable in class jline.api.mc.Dtmc_stochcomp.DtmcStochCompResult
p2Column(int, int, int, int, int, int, int) - Method in class jline.api.mapqn.Mapqn_qr_bounds_bas.BasSystem: Column of a p2 entry, or -1 when the model pinned it to zero.
p2Index(int, int, int, int, int, int, int, int, int, int, int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi
Pab - Variable in class jline.api.trace.Mtrace_summary.MtraceSummary
Pair<T,U> - Class in jline.util: A generic pair container that holds two objects of potentially different types.
Pair(Pair<T, U>) - Constructor for class jline.util.Pair: Copy constructor that creates a new pair with the same elements as another pair.
Pair(T, U) - Constructor for class jline.util.Pair: Constructs a new pair with the specified left and right elements.
pairIndex - Variable in class jline.solvers.fluid.petri.PetriTerms: (a,b) -> closure unknown index, symmetric, -1 where the drift never reads it.
pairs - Variable in class jline.lang.state.CtmcMapc: Pair t = (pairs[t][0], pairs[t][1]), 0-based phases, i-major.
PAMB - Static variable in class jline.api.pfqn.mva.Pfqn_pam
PAMI - Static variable in class jline.api.pfqn.mva.Pfqn_pam
PAMT - Static variable in class jline.api.pfqn.mva.Pfqn_pam
PAR - Enum constant in enum jline.io.tikz.SequenceDiagramTraverser.Fragment.FragmentType
PARALLEL - Enum constant in enum jline.lib.kpctoolbox.aph.APH.ConvolutionPattern
parallelism - Variable in class jline.solvers.wrappers.jmt.handlers.SaveHandlers.ServerPools: Servers seized at once by a job, (1 x K).
parallels - Variable in class jline.api.wf.Wf_analyzer.DetectedPatterns
param(int) - Method in class jline.lang.processes.Distribution: Property alias for getParam(int id)
param(int) - Method in class jline.lang.processes.Process: Property alias for getParam(int id)
paramClass - Variable in class jline.io.Ret.pfqnSens
ParamEstimator - Class in jline.inference.lang: Service demand estimator for queueing network models.
ParamEstimator(Network) - Constructor for class jline.inference.lang.ParamEstimator
ParamEstimator(Network, EstimatorOptions) - Constructor for class jline.inference.lang.ParamEstimator
parameters() - Static method in class jline.lib.lti.iltcme: Returns the pre-computed CME parameter table from iltcme.json.
paramKey() - Method in class jline.opt.variables.ServiceRate: Sensitivity parameter key this variable controls.
paramKey(String, String) - Static method in class jline.opt.results.SensitivityData
params - Variable in class jline.api.sn.SnToQrfBlocking.Result: Blocking tables, null when msg is non-empty.
params - Variable in class jline.io.tikz.SequenceDiagramTraverser.Fragment
params - Variable in class jline.lang.processes.Distribution
params - Variable in class jline.lang.processes.Process
ParamSpec - Class in jline.api.infer: Specification of a hidden LQN parameter to identify.
ParamSpec(ParamSpec.Type, String) - Constructor for class jline.api.infer.ParamSpec
ParamSpec.Type - Enum in jline.api.infer: Kind of parameter being estimated.
paramStation - Variable in class jline.io.Ret.pfqnSens
paramType - Variable in class jline.io.Ret.pfqnSens
parent - Variable in class jline.io.Ret.cacheGamma
parent - Variable in class jline.lang.layered.Activity
parent - Variable in class jline.lang.layered.Entry
parent - Variable in class jline.lang.layered.LayeredNetworkStruct
parent - Variable in class jline.lang.layered.Task
parent - Variable in class jline.lang.workflow.Workflow.SPNode: Parent node index, -1 at the root.
PARENT_CHILD - Enum constant in enum jline.io.ModelVisualizer.EdgeType
parentForks - Variable in class jline.io.Ret.FJApprox
parentForks - Variable in class jline.io.Ret.FJsortForks
Pareto - Class in jline.lang.processes: A Pareto distribution
Pareto(double, double) - Constructor for class jline.lang.processes.Pareto
PARETO - Enum constant in enum jline.lang.constant.ProcessType
paretoFrontier() - Static method in class jline.examples.opt.LineOptExamples: Cost vs utilization-bound frontier via ParetoSweep.
ParetoPoint - Class in jline.opt.pareto: One point of a cost-performance tradeoff curve produced by ParetoSweep.
ParetoPoint(double, double, boolean, OptimizationResult) - Constructor for class jline.opt.pareto.ParetoPoint
ParetoSweep - Class in jline.opt.pareto: Epsilon-constraint sweep for bi-objective tradeoff analysis.
ParetoSweep(OptimizationProblem, ParetoSweep.ConstraintFactory, double[]) - Constructor for class jline.opt.pareto.ParetoSweep
ParetoSweep(OptimizationProblem, ParetoSweep.ConstraintFactory, double[], String) - Constructor for class jline.opt.pareto.ParetoSweep
ParetoSweep.ConstraintFactory - Interface in jline.opt.pareto: Maps an epsilon value to a constraint.
ParityExample - Class in jline.examples.parity: One runnable twin: the reference directory it came from, its name, its body.
ParityExample(String, String, ParityExample.Body) - Constructor for class jline.examples.parity.ParityExample
ParityExample.Body - Interface in jline.examples.parity: A body that may fail the way a solver fails, i.e.
parse(Map<String, Object>, Object[]) - Static method in class jline.lib.smc.ParseOptPara
parse(Map<String, Object>, Object[], Map<String, String>, Map<String, List<String>>) - Static method in class jline.lib.smc.ParseOptPara
parseArgs(String[]) - Static method in class jline.cli.LineCLI: Parses the command-line arguments provided to configure the LINE Solver.
parseCSVLog(String) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Parses a CSV log file from JMT.
parseEndpoint() - Method in class jline.streaming.StreamingOptions: Parse endpoint into host and port.
parseIntArray(String) - Static method in class jline.util.Utils: Parse integer array from string representation
parseJMVAResult(String) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Parses a JMVA result XML file.
parseJSIMResult(String) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Parses a JSIM result XML file.
parseLogs(boolean[], MetricType) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Parses JMT log files for the specified metric type.
parseNetworkOptions(Object...) - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: Options for a flat Network from name-value pairs: method, multiserver, timespan.
parseOptions(Object...) - Static method in class jline.solvers.Solver: Parses option parameters into a SolverOptions data structure.
parseOptions(SolverOptions, Object...) - Static method in class jline.solvers.Solver: Parses option parameters into an existing SolverOptions instance.
ParseOptPara - Class in jline.lib.smc: ParseOptPara - Utility class to parse optional parameters in QBD and related solvers.
parseSimple(Map<String, Object>, Object...) - Static method in class jline.lib.smc.ParseOptPara
parseTranRespT(List<String[]>, List<String[]>) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Parses transient response time data from arrival and departure logs.
parseTranState(List<String[]>, List<String[]>, Matrix) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Parses transient state data from log files.
parseXML(String) - Static method in class jline.lang.layered.LayeredNetwork: Parses a layered queueing network from an XML file with default verbose setting.
parseXML(String, boolean) - Static method in class jline.lang.layered.LayeredNetwork: Parses a layered queueing network from an XML file.
parseXMLResults(String) - Method in class jline.solvers.wrappers.lqns.SolverLQNS
partial - Variable in class jline.lang.nodes.Queue.MonoCheckResult
partial - Variable in class jline.lang.nodes.Queue.PermCheckResult
PARTIAL - Enum constant in enum jline.lang.constant.JoinStrategy
PAS - Enum constant in enum jline.lang.constant.SchedStrategy: Pass-and-swap - order-independent queue with a class compatibility/swap graph
pas_closed_tandem_fig6() - Static method in class jline.examples.java.advanced.PassAndSwapClosedTandemExample: Closed tandem of two pass-and-swap queues, Fig.
pas_compatibility_5class() - Static method in class jline.examples.java.advanced.PassAndSwapExample: Five-class compatibility model solved by CTMC.
pas_cyclic_ctmc_vs_bruteforce() - Static method in class jline.examples.java.advanced.PassAndSwapCyclicExample: Validate CTMC and LDES against the exact brute-force product form (pas_cyclic_ctmc_vs_bruteforce.m).
pas_cyclic_normconst_bruteforce() - Static method in class jline.examples.java.advanced.PassAndSwapCyclicExample: Brute-force normalizing constant of the closed cyclic PAS network (pas_cyclic_normconst_bruteforce.m).
pas_mmk() - Static method in class jline.examples.java.advanced.PassAndSwapExample: M/M/K order-independent queue solved by CTMC.
pas_nc_sampling() - Static method in class jline.examples.java.advanced.PassAndSwapClosedTandemExample: Importance-sampling normalizing-constant analysis of the same closed pass-and-swap tandem (pas_nc_sampling.m).
Pas_placement - Class in jline.api.pfqn.nc: Placement-order logic of a pass-and-swap (P&S) / order-independent network with swap graph H.
pas_saturation() - Static method in class jline.examples.java.advanced.PassAndSwapExample: Pass-and-swap saturation handling for large / unbounded buffers (pas_saturation.m).
pas_selfloop() - Static method in class jline.examples.java.advanced.PassAndSwapExample: Self-loop swapping-graph model solved by CTMC.
pas_swap2order(Matrix, Matrix, SerializableFunction<Matrix, Double>, SerializableFunction<Matrix, Double>, int[]) - Static method in class jline.api.pfqn.nc.Pas_swap2order
Pas_swap2order - Class in jline.api.pfqn.nc: Derive the GLOBAL placement-order DAG H of a closed two-station pass-and-swap (P&S) tandem 1->2->1 directly from its swap graph, for use with Pfqn_pas_is.
Passage(String, String, String, List<String>, List<String>, List<List<String>>, int[]) - Constructor for class jline.api.sym.SymEngine.Passage
passage_firstpassage() - Static method in class jline.examples.java.advanced.PassageTimeExample: First passage times, semi-Markov passage times and an overtake-free cycle time (passage_firstpassage.m).
passage_method - Variable in class jline.solvers.SolverOptions.Config: SolverCTMC.getCdfFirstPassT: "expm" (default) or "lt", selecting the dense matrix-exponential route or the Laplace-transform inversion of ctmc_passage_time.
PassageCurve - Class in jline.api.mc: A passage-time law on a time grid.
PassageCurve(double[], double[], double[], double) - Constructor for class jline.api.mc.PassageCurve
PassageMomentsResult - Class in jline.api.mc: Per-source and initial-law-weighted passage-time moments.
PassageMomentsResult(Matrix, double[]) - Constructor for class jline.api.mc.PassageMomentsResult
PassageTimeExample - Class in jline.examples.java.advanced: First passage times in a Markov chain, and the exact cycle time along an overtake-free path of a closed tree-like product-form network.
PassageTimeExample() - Constructor for class jline.examples.java.advanced.PassageTimeExample
PassageTimeODE - Class in jline.solvers.fluid.handlers
PassageTimeODE(NetworkStruct, Map<Station, Map<JobClass, Matrix>>, Map<Station, Map<JobClass, Matrix>>, Map<Station, Map<JobClass, MatrixCell>>, Matrix, Matrix, SolverOptions) - Constructor for class jline.solvers.fluid.handlers.PassageTimeODE
PassageTimeODE(NetworkStruct, Map<Station, Map<JobClass, Matrix>>, Map<Station, Map<JobClass, Matrix>>, Map<Station, Map<JobClass, MatrixCell>>, Matrix, Matrix, SolverOptions, int) - Constructor for class jline.solvers.fluid.handlers.PassageTimeODE
passAndSwap(int[], int, Matrix) - Static method in class jline.lang.state.AfterEventStation: Applies the pass-and-swap mechanism (Dorsman and Gardner 2024, Sect.
PassAndSwapClosedTandemExample - Class in jline.examples.java.advanced: Closed tandem of two pass-and-swap (PAS) queues, reproducing Figures 5 and 6 of Comte and Dorsman, "Pass-and-Swap Queues" (2021, arXiv:2009.12299).
PassAndSwapClosedTandemExample() - Constructor for class jline.examples.java.advanced.PassAndSwapClosedTandemExample
PassAndSwapCyclicExample - Class in jline.examples.java.advanced: Validate the CTMC (exact) and LDES (simulation) solvers on a CLOSED CYCLIC network of two pass-and-swap (PAS / order-independent) queues against the exact product-form brute-force normalizing constant.
PassAndSwapCyclicExample() - Constructor for class jline.examples.java.advanced.PassAndSwapCyclicExample
PassAndSwapExample - Class in jline.examples.java.advanced: Pass-and-swap (PAS) / order-independent queue examples.
PassAndSwapExample() - Constructor for class jline.examples.java.advanced.PassAndSwapExample
passed - Variable in class jline.bench.BenchmarkRegression.RegressionComparison
passed - Variable in class jline.unified.TestResults
passive - Variable in class jline.lang.GlobalSync
passive - Variable in class jline.lang.Sync
passTimeSamples - Variable in class jline.solvers.ldes.LDESResult: Passage time samples for empirical CDF computation [stations][classes].
path(String) - Static method in class jline.examples.ExampleData: The path of a data file shipped as a resource, e.g.
pathsPerLevel - Variable in class jline.api.mdd.MddMcdResult: max |A(p)| per paper level: the largest number of distinct root-to-node paths at that level.
patience - Variable in class jline.lang.NodeParam: Patience distributions by job class for customer abandonment modeling
Patience - Class in jline.api.qsys: The patience (time-to-abandon) law of a queue with customer abandonment, in the three forms accepted by Qsys_mgisrgi_whitt.
Patience.Form - Enum in jline.api.qsys: How the abandonment rates are read off this law.
patienceDistributions - Variable in class jline.lang.nodes.Station
patienceRate - Variable in class jline.api.qsys.QsysAbandonResult: The exponential patience rate, NaN for a general patience law.
patternAnalysis - Variable in class jline.api.wf.WorkflowManager.WorkflowAnalysisResult
PB - Variable in class jline.io.Ret.LinearizerResult
PB_1 - Variable in class jline.io.Ret.pfqnEstimate
PB_1 - Variable in class jline.io.Ret.pfqnLinearizerMSEstimate
Pc - Variable in class jline.api.trace.Mtrace_summary.MtraceSummary
Pc - Variable in class jline.io.Ret.pfqnMVALDMX
pd - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
pdf - Variable in class jline.api.qsys.QsysServiceLaw: Density of the service time.
pdf - Variable in class jline.api.sn.SnPatienceHandles.Handles: The patience density.
PDF - Enum constant in enum jline.io.LQN2UML.Format
pdfCond - Variable in class jline.api.qsys.QsysMg1PsResult: Density of V(x), indexed [x][t], NaN on the lattice (k+1)*x.
pdfFromME(double[], Matrix, double[]) - Static method in class jline.lib.butools.ph.PdfFromME: Overload for double[] alpha.
pdfFromME(Matrix, Matrix, double[]) - Static method in class jline.lib.butools.ph.PdfFromME: Returns the probability density function of a matrix-exponential distribution.
PdfFromME - Class in jline.lib.butools.ph
pdfFromPH(double[], Matrix, double[]) - Static method in class jline.lib.butools.ph.PdfFromME: Overload for double[] alpha.
pdfFromPH(Matrix, Matrix, double[]) - Static method in class jline.lib.butools.ph.PdfFromME: Returns the probability density function of a phase-type distribution.
pdfFromTrace(double[], double[]) - Static method in class jline.lib.butools.trace.PdfFromTrace: Returns the empirical density function of a trace.
PdfFromTrace - Class in jline.lib.butools.trace
PdfFromTrace.PdfResult - Class in jline.lib.butools.trace: Result class for PdfFromTrace containing x and y arrays.
pdfFromWeightedTrace(double[], double[], double[]) - Static method in class jline.lib.butools.trace.PdfFromTrace: Returns the empirical density function of a weighted trace.
PdfResult(double[], double[]) - Constructor for class jline.lib.butools.trace.PdfFromTrace.PdfResult
pdfUncond - Variable in class jline.api.qsys.QsysMg1PsResult: Density of the unconditional sojourn time.
pdh - Variable in class jline.api.retrieval.Retrieval_fpi.Result
pdh - Variable in class jline.api.retrieval.Retrieval_metrics.Result
pdh - Variable in class jline.api.retrieval.Retrieval_mva.Result: (r+1) x n, delayed-hit probabilities phi_si, s = 0..r.
peak - Variable in class jline.api.sn.SnToQrfAlpha.Result: (nstations) utilization normalizer; infinite at a delay.
peakStates - Variable in class jline.io.Ret.lossnManjunath
peakStates - Variable in class jline.io.Ret.pfqnManjunath
peekMin() - Method in class jline.util.IndexedMinHeap: Return the index of the reaction with the smallest key.
peekMinKey() - Method in class jline.util.IndexedMinHeap: Return the smallest key value.
penaltyWeight - Variable in class jline.opt.solver.LineOptSolverOptions
penv - Variable in class jline.solvers.mam.handlers.Mam_bgchain_station.StationResult: Stationary probability of each environment state.
percentile95 - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
percentiles - Variable in class jline.lib.fjcodes.MainFJ.FJPercentileResult
perClassGroups(int) - Static method in class jline.api.pfqn.sens.Pfqn_sens_mom: The class-to-group map that puts one class per group, 1..R, which yields genuinely per-class moments (Akyildiz-Strelen Theorem 1 with T = {r}).
perclassutil - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
perctRespT(double[]) - Method in class jline.solvers.auto.SolverAUTO: Alias for getPerctRespT()
performanceMetrics - Variable in class jline.api.wf.WorkflowManager.WorkflowAnalysisResult
period - Variable in class jline.api.sn.SnArrivalRateFun.RateFun: The cycle length when the schedule is cyclic, infinite otherwise.
perItemMissProb - Variable in class jline.api.cache.Cache_miss.CacheMissResult
perItemMissRate - Variable in class jline.api.cache.Cache_miss.CacheMissResult
Permanent - Class in jline.lib.perm: Implementation of the MATLAB perm.m permanent computation algorithm.
Permanent(Matrix) - Constructor for class jline.lib.perm.Permanent
Permanent(Matrix, boolean) - Constructor for class jline.lib.perm.Permanent
PermCheckResult() - Constructor for class jline.lang.nodes.Queue.PermCheckResult
PermExample - Class in jline.lib.perm: Example usage of the permanent computation algorithms.
permIndexOf(int[]) - Method in class jline.lang.state.CtmcPool: 1-based index of a pool order in CtmcPool.perms.
perms - Variable in class jline.lang.state.CtmcPool: Pool orders, lexicographic (identity first).
PermSolver - Class in jline.lib.perm: Abstract base class for permanent computation solvers.
PermSolver(Matrix) - Constructor for class jline.lib.perm.PermSolver
permStep - Variable in class jline.lib.perm.AdaPartSampler
PermSupport - Class in jline.lib.perm: Preconditions and helpers shared by the approximate permanent engines.
permutation(int) - Method in class jline.opt.solver.de.NumpyRandomState: numpy permutation(range(n)): shuffled copy of [0, 1, ..., n-1].
permutations(Matrix) - Static method in class jline.util.Maths
perUserMissRate - Variable in class jline.api.cache.Cache_miss.CacheMissResult
petri - Variable in class jline.solvers.fluid.FluidResult: What the Petri route computes that the station table has no column for: the marking and its variance, the per-mode firing flows, the invariants and which capacities bound.
petri - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
PetriApplicable - Class in jline.solvers.fluid.petri: Whether the fluid Petri route can answer this model, and why not.
PetriApplicable.Verdict - Class in jline.solvers.fluid.petri: The verdict and, when negative, the element that decides it.
PetriClosures - Class in jline.solvers.fluid.petri: The min-normal moment closures a Petri-net transition mode needs.
PetriClosures.MinMulti - Class in jline.solvers.fluid.petri: The result of the many-argument closure.
PetriConservation - Class in jline.solvers.fluid.petri: The conserved quantities, as equations: u'D = 0 implies u'x is constant.
PetriConstraints - Class in jline.solvers.fluid.petri: Every finite place capacity as a linear row A x <= b.
PetriImmediate - Class in jline.solvers.fluid.petri: The active set of the IMMEDIATE transitions, and the equations that pin their flows.
PetriImmediate() - Constructor for class jline.solvers.fluid.petri.PetriImmediate
PetriImmediate.Row - Class in jline.solvers.fluid.petri: One pinning equation.
PetriMode - Class in jline.solvers.fluid.petri: One transition mode as a reaction record: its input arcs and their weights, its inhibitor arcs and their thresholds, its incidence column, and the firing process that times it.
PetriMode(int, int, TimingStrategy, String, int) - Constructor for class jline.solvers.fluid.petri.PetriMode
PetriReport() - Constructor for class jline.solvers.fluid.petri.PetriSolver.PetriReport
PetriSolver - Class in jline.solvers.fluid.petri: Fluid analysis of a stochastic Petri net.
PetriSolver(NetworkStruct, SolverOptions) - Constructor for class jline.solvers.fluid.petri.PetriSolver
PetriSolver.PetriReport - Class in jline.solvers.fluid.petri: What the Petri route computes that the station table has no column for.
PetriSolver.Result - Class in jline.solvers.fluid.petri: Everything PetriSolver.solve() returns.
PetriSystem - Class in jline.solvers.fluid.petri: The closed enabling term of every transition mode, the rate of every event column, and the drift Jacobian.
PetriSystem.Theta - Class in jline.solvers.fluid.petri: The enabling terms and their derivatives, for one iterate.
PetriTerms - Class in jline.solvers.fluid.petri: Event-based representation of the fluid marking process of a stochastic Petri net.
PetriTerms() - Constructor for class jline.solvers.fluid.petri.PetriTerms
PFParameters(int, int, double[], double[][]) - Constructor for class jline.api.mapqn.Mapqn_bnd_lr_pf.PFParameters
pfqn_ab(Matrix, Matrix, Matrix, List<SchedStrategy>) - Static method in class jline.api.pfqn.ld.Pfqn_ab
Pfqn_ab - Class in jline.api.pfqn.ld: Akyildiz-Bolch (A/B) linearizer method for closed product-form queueing networks.
Pfqn_ab_amva - Class in jline.api.pfqn.mva: Akyildiz-Bolch AMVA method for multi-server BCMP networks.
pfqn_ab_core(int, int, Matrix, Matrix, List<SchedStrategy>, Matrix, Matrix, int, double[][][], Matrix, boolean, String) - Static method in class jline.api.pfqn.mva.Pfqn_ab_amva
Pfqn_ab.PfqnAbAlgo - Class in jline.api.pfqn.ld: PFQN ab algorithms.
pfqn_aghq(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_aghq
pfqn_aghq(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_aghq
pfqn_aghq(Matrix, Matrix, Matrix, int) - Static method in class jline.api.pfqn.nc.Pfqn_aghq
Pfqn_aghq - Class in jline.api.pfqn.nc: Adaptive Gauss-Hermite quadrature of the simplex factor of the McKenna-Mitra integral.
pfqn_amvasjn(Matrix, Matrix, Matrix, Matrix, int[], Matrix, SjnOptions) - Static method in class jline.api.pfqn.mva.Pfqn_amvasjn: Mean value analysis with shortest-job-next stations, through a Schweitzer fixed point.
Pfqn_amvasjn - Class in jline.api.pfqn.mva
pfqn_aql(Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_aql
pfqn_aql(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_aql
pfqn_aql(Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_aql
pfqn_aql(Matrix, Matrix, Matrix, double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_aql
pfqn_aql(Matrix, Matrix, Matrix, int) - Static method in class jline.api.pfqn.mva.Pfqn_aql
Pfqn_aql - Class in jline.api.pfqn.mva
pfqn_bjbk(Matrix, double, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_bjbk: Iterative balanced job bounds BJB(k).
Pfqn_bjbk - Class in jline.api.pfqn.mva
pfqn_bk(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_bk: Birman-Kogan saddle point normalizing constant with bottleneck detection.
Pfqn_bk - Class in jline.api.pfqn.nc
pfqn_bklc(Matrix, Matrix, Matrix, String, double, int) - Static method in class jline.api.pfqn.nc.Pfqn_bk: Birman-Kogan load concealment algorithm (Algorithm 2).
pfqn_bkt(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_bkt
pfqn_bkt(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_bkt: Knessl-Tier expansion corrected for the Stirling remainder that steepest descent drops in each class direction.
Pfqn_bkt - Class in jline.api.pfqn.nc
pfqn_bkue(Matrix, double, double) - Static method in class jline.api.pfqn.nc.Pfqn_bk: Birman-Kogan uniform (van der Waerden) expansion for a single chain.
pfqn_ble(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_ble
pfqn_ble(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_ble: Logistic expansion with an additive (1-log(2*pi)/2) bias correction per Gaussian direction the branch actually takes.
Pfqn_ble - Class in jline.api.pfqn.nc
pfqn_bs(Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_bs
pfqn_bs(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_bs
pfqn_bs(Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_bs
pfqn_bs(Matrix, Matrix, Matrix, double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_bs
pfqn_bs(Matrix, Matrix, Matrix, double, int, Matrix, SchedStrategy[]) - Static method in class jline.api.pfqn.mva.Pfqn_bs
pfqn_bs(Matrix, Matrix, Matrix, double, int, Matrix, SchedStrategy[], Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_bs: Bard-Schweitzer approximate mean value analysis algorithm with optional weighted priorities.
pfqn_bs(Matrix, Matrix, Matrix, double, int, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_bs: Bard-Schweitzer approximate mean value analysis algorithm with weighted priorities.
Pfqn_bs - Class in jline.api.pfqn.mva
pfqn_busyp(Matrix, Pfqn_busyp.RateFunction, Matrix, double, int[], int[], Matrix) - Static method in class jline.api.pfqn.Pfqn_busyp: Rate-function form with the default tolerance.
pfqn_busyp(Matrix, Pfqn_busyp.RateFunction, Matrix, double, int[], int[], Matrix, double) - Static method in class jline.api.pfqn.Pfqn_busyp: Rate-function form, the one the MATLAB and C++ ports take.
pfqn_busyp(Matrix, Matrix, Matrix, double, int[], int[]) - Static method in class jline.api.pfqn.Pfqn_busyp: Closed-network form with the default tolerance.
pfqn_busyp(Matrix, Matrix, Matrix, double, int[], int[], Matrix, double) - Static method in class jline.api.pfqn.Pfqn_busyp: Mean busy period of order n for the subnetwork, that is the time from the instant a job entering the subnetwork finds n-1 jobs in it up to the next instant when fewer than n jobs remain in it.
pfqn_busyp(Matrix, Matrix, Matrix, double, int[], int, Matrix) - Static method in class jline.api.pfqn.Pfqn_busyp: Single-order form.
Pfqn_busyp - Class in jline.api.pfqn: Mean busy period of order n for a subnetwork, after H.
pfqn_busyp_clw(Matrix, Matrix, Matrix[], double[], int[], int[], Matrix, boolean[], String) - Static method in class jline.api.pfqn.Pfqn_busyp_clw: Mean busy period of order n for the subnetwork, via NC point evaluations.
pfqn_busyp_clw(Matrix, Matrix, Matrix, double[], int[], int[]) - Static method in class jline.api.pfqn.Pfqn_busyp_clw: Closed-network form with a shared routing matrix and the CLW default.
Pfqn_busyp_clw - Class in jline.api.pfqn: Busy period of a subnetwork evaluated from point values of the normalizing constant rather than from the whole population ladder.
pfqn_busyp_multiclass(Matrix, Matrix, Matrix[], double[], int[], int[], Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.Pfqn_busyp_multiclass: Mean busy period of order n for the subnetwork, multichain.
pfqn_busyp_multiclass(Matrix, Matrix, Matrix, double[], int[], int[]) - Static method in class jline.api.pfqn.Pfqn_busyp_multiclass: Closed-network form with the default tolerance and a shared routing matrix.
Pfqn_busyp_multiclass - Class in jline.api.pfqn: Multichain generalization of Pfqn_busyp.
Pfqn_busyp.RateFunction - Interface in jline.api.pfqn: The load-dependent rate of one node, as a FUNCTION of the jobs it holds.
pfqn_ca(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_ca
pfqn_ca(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_ca
Pfqn_ca - Class in jline.api.pfqn.nc
pfqn_cbh(Matrix, double, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_cbh: Level-`level` convolutional bound hierarchy on throughput.
Pfqn_cbh - Class in jline.api.pfqn.mva
pfqn_cdfun(Matrix, List<SerializableFunction<Matrix, Matrix>>, int) - Static method in class jline.api.pfqn.ld.Pfqn_cdfun: Evaluate class-dependent (CD) scaling function for the first class.
pfqn_cdfun(Matrix, List<SerializableFunction<Matrix, Matrix>>, int, int) - Static method in class jline.api.pfqn.ld.Pfqn_cdfun: Evaluate class-dependent (CD) scaling function.
Pfqn_cdfun - Class in jline.api.pfqn.ld
pfqn_cftp(Matrix, int) - Static method in class jline.api.pfqn.Pfqn_cftp: Exact (perfect) stationary state sampling with default single servers, one sample, and the 'cftp' method.
pfqn_cftp(Matrix, int, Matrix, int, String) - Static method in class jline.api.pfqn.Pfqn_cftp: Exact (perfect) or approximate stationary state sampling for closed single-class multiserver product-form networks via monotone Coupling From The Past.
Pfqn_cftp - Class in jline.api.pfqn: Perfect/approximate stationary state sampler for closed single-class multiserver product-form networks.
Pfqn_cftp.PfqnCftpReturn - Class in jline.api.pfqn: Result holder mirroring the MATLAB [Q,X,T] return of pfqn_cftp.
pfqn_chow(Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_chow
pfqn_chow(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_chow
pfqn_chow(Matrix, Matrix, Matrix, double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_chow
pfqn_chow(Matrix, Matrix, Matrix, double, int, Matrix, SchedStrategy[]) - Static method in class jline.api.pfqn.mva.Pfqn_chow
pfqn_chow(Matrix, Matrix, Matrix, double, int, Matrix, SchedStrategy[], String) - Static method in class jline.api.pfqn.mva.Pfqn_chow
Pfqn_chow - Class in jline.api.pfqn.mva: JMT-compatible Chow approximate MVA.
pfqn_clust(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_clust
pfqn_clust(Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_clust
pfqn_clust(Matrix, Matrix, Matrix, List<int[]>, List<int[]>, String, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_clust
Pfqn_clust - Class in jline.api.pfqn.mva: de Souza e Silva-Lavenberg-Muntz Clustering Approximation (CA).
pfqn_clw(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_clw
pfqn_clw(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_clw
pfqn_clw(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_clw
pfqn_clw(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_clw
pfqn_clw(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Pfqn_clw.Options) - Static method in class jline.api.pfqn.nc.Pfqn_clw
Pfqn_clw - Class in jline.api.pfqn.nc: Computes g(K) of a multichain closed product-form network with single-server and (optionally) infinite-server queues by numerically inverting its p-dimensional generating function (Choudhury, Leung and Whitt, 1995, eq.
pfqn_clw_lld(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_clw_lld
pfqn_clw_lld(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_clw_lld
pfqn_clw_lld(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_clw_lld
pfqn_clw_lld(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_clw_lld
Pfqn_clw_lld - Class in jline.api.pfqn.nc: Computes g(K) of a multichain closed product-form network with limited load-dependent (LLD) stations and (optionally) infinite-server delay by numerically inverting its p-dimensional generating function (Bertozzi-McKenna eqs.
Pfqn_clw.Options - Class in jline.api.pfqn.nc: Accelerations and their parameters; the defaults are the paper's.
pfqn_clwjd(double[], int[], List<ToDoubleFunction<int[]>>) - Static method in class jline.api.pfqn.nc.Pfqn_clwjd
pfqn_clwjd(double[], int[], List<ToDoubleFunction<int[]>>, double[][]) - Static method in class jline.api.pfqn.nc.Pfqn_clwjd
pfqn_clwjd(double[], int[], List<ToDoubleFunction<int[]>>, double[][], int[][]) - Static method in class jline.api.pfqn.nc.Pfqn_clwjd
pfqn_clwjd(double[], int[], List<ToDoubleFunction<int[]>>, double[][], int[][], int[], double[]) - Static method in class jline.api.pfqn.nc.Pfqn_clwjd
Pfqn_clwjd - Class in jline.api.pfqn.nc: Computes G(N) of a closed product-form network made of an aggregated infinite-server (delay) node and any number of LIMITED JOINT-DEPENDENT stations.
pfqn_clwoi(double[], int[], List<ToDoubleFunction<int[]>>) - Static method in class jline.api.pfqn.nc.Pfqn_clwoi
pfqn_clwoi(double[], int[], List<ToDoubleFunction<int[]>>, double[][]) - Static method in class jline.api.pfqn.nc.Pfqn_clwoi
pfqn_clwoi(double[], int[], List<ToDoubleFunction<int[]>>, double[][], int[], double[]) - Static method in class jline.api.pfqn.nc.Pfqn_clwoi
Pfqn_clwoi - Class in jline.api.pfqn.nc: Computes G(N) of a closed product-form network made of an aggregated infinite-server (delay) node and any number of order-independent (OI) / pass-and-swap stations with empty swap graph, by inverting G(z) = exp(sum_r Z_r z_r) prod_i F_i(z), F_i(z) = sum_n Phi_i(n) z^n, with Phi_i the v-weighted balanced-fairness balance function of station i, mu_i(n) Phi_i(n) = sum_{r: n_r>0} v_{i,r} Phi_i(n - e_r).
pfqn_cntol(double) - Static method in class jline.api.pfqn.mva.Pfqn_cntol: Termination cutoff at the given total population.
pfqn_cntol(Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_cntol: Termination cutoff at the given population vector.
Pfqn_cntol - Class in jline.api.pfqn.mva: Termination cutoff 1/(4000 + 16*sum(N)) of the Linearizer.
pfqn_combine_mi(Matrix, int[], int) - Static method in class jline.api.pfqn.Pfqn_replicas: Combine user-provided multiplicity vector with detected replica multiplicity.
pfqn_comom(Matrix, Matrix, Matrix, double) - Static method in class jline.api.pfqn.nc.Pfqn_comom
Pfqn_comom - Class in jline.api.pfqn.nc
Pfqn_comom.GenMatrixResult - Class in jline.api.pfqn.nc: Triple of (A, B, DA) coefficient matrices.
pfqn_comomrm(Matrix, Matrix, Matrix, Integer, double) - Static method in class jline.api.pfqn.nc.Pfqn_comomrm: Compute the normalizing constant of a repairmen model using COMOM
Pfqn_comomrm - Class in jline.api.pfqn.nc
pfqn_comomrm_ld(Matrix, Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.ld.Pfqn_comomrm_ld: Run the COMOM normalizing constant solution method on a repairman model.
Pfqn_comomrm_ld - Class in jline.api.pfqn.ld
pfqn_comomrm_ms(Matrix, Matrix, Matrix, int) - Static method in class jline.api.pfqn.nc.Pfqn_comomrm_ms: Four-argument form.
pfqn_comomrm_ms(Matrix, Matrix, Matrix, int, int) - Static method in class jline.api.pfqn.nc.Pfqn_comomrm_ms: Compute the normalizing constant of a multiserver repairman model using CoMoM.
Pfqn_comomrm_ms - Class in jline.api.pfqn.nc
pfqn_comomrm_orig(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_comomrm_orig
pfqn_comomrm_orig(Matrix, Matrix, Matrix, double) - Static method in class jline.api.pfqn.nc.Pfqn_comomrm_orig
Pfqn_comomrm_orig - Class in jline.api.pfqn.nc
pfqn_conv(Matrix, int[], double[], List<SerializableFunction<Matrix, Matrix>>) - Static method in class jline.api.pfqn.ld.Pfqn_conv: Multichain convolution for networks with class-dependent service rates.
Pfqn_conv - Class in jline.api.pfqn.ld
pfqn_conwayms(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_conwayms
pfqn_conwayms(Matrix, Matrix, Matrix, int[]) - Static method in class jline.api.pfqn.mva.Pfqn_conwayms
pfqn_conwayms(Matrix, Matrix, Matrix, int[], SchedStrategy[], double, int) - Static method in class jline.api.pfqn.mva.Pfqn_conwayms
pfqn_conwayms(Matrix, Matrix, Matrix, int[], SchedStrategy[], double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_conwayms
Pfqn_conwayms - Class in jline.api.pfqn.mva: Conway-Maxwell approximate MVA for multi-server queueing networks.
pfqn_conwayms_core(Matrix, int, int, Matrix, Matrix, int[], Matrix, Matrix, Matrix, MatrixCell, SchedStrategy[], double, int) - Static method in class jline.api.pfqn.mva.Pfqn_conwayms
pfqn_conwayms_estimate(int, int, Matrix, int[], Matrix, Matrix, Matrix, MatrixCell, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_conwayms
pfqn_conwayms_forwardmva(Matrix, int, int, Matrix, Matrix, int[], SchedStrategy[], MatrixCell, MatrixCell, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_conwayms
pfqn_cub(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_cub: Cubature method to compute the normalizing constant of a load-independent closed queueing network model
pfqn_cub(Matrix, Matrix, Matrix, int, double) - Static method in class jline.api.pfqn.nc.Pfqn_cub: Cubature method to compute the normalizing constant of a load-independent closed queueing network model
Pfqn_cub - Class in jline.api.pfqn.nc
pfqn_cub_evals(int, int, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_cub: Number of integrand evaluations pfqn_cub performs at this order.
pfqn_cyclet_ofree(double[], double[], int, List<int[]>, double[]) - Static method in class jline.api.pfqn.nc.Pfqn_cyclet_ofree
pfqn_cyclet_ofree(double[], double[], int, List<int[]>, double[], String, int, double[], String, double) - Static method in class jline.api.pfqn.nc.Pfqn_cyclet_ofree
Pfqn_cyclet_ofree - Class in jline.api.pfqn.nc: Exact passage-time density, distribution and moments along an OVERTAKE-FREE PATH of a closed single-chain tree-like product-form network.
pfqn_dac(Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_dac: DAC with default think times (zero) and default rates (single-server fixed rate).
pfqn_dac(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_dac: DAC (Distribution Analysis by Chain) for joint queue-length distributions.
Pfqn_dac - Class in jline.api.pfqn.ld: DAC (Distribution Analysis by Chain) method for closed product-form queueing networks with single-server fixed-rate, infinite-server and queue-dependent service centers.
pfqn_dmlin(Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_dmlin
pfqn_dmlin(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_dmlin
pfqn_dmlin(Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_dmlin
pfqn_dmlin(Matrix, Matrix, Matrix, double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_dmlin
pfqn_dmlin(Matrix, Matrix, Matrix, double, int, Matrix, int) - Static method in class jline.api.pfqn.mva.Pfqn_dmlin
Pfqn_dmlin - Class in jline.api.pfqn.mva: de Souza e Silva-Muntz Improved Linearizer (IL).
pfqn_dnc(Matrix, double) - Static method in class jline.api.pfqn.nc.Pfqn_dnc: Normalizing constant and throughput at a real-valued population.
Pfqn_dnc - Class in jline.api.pfqn.nc
Pfqn_dnc.Result - Class in jline.api.pfqn.nc: Result of the DNC evaluation at a real population.
pfqn_egflinearizer(Matrix, Matrix, Matrix, SchedStrategy[], double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_egflinearizer
pfqn_egflinearizer(Matrix, Matrix, Matrix, SchedStrategy[], double, int, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_egflinearizer
pfqn_egflinearizer(Matrix, Matrix, Matrix, SchedStrategy[], double, int, Matrix, Matrix, int) - Static method in class jline.api.pfqn.mva.Pfqn_egflinearizer
Pfqn_egflinearizer - Class in jline.api.pfqn.mva
pfqn_expand(Matrix, Matrix, Matrix, int[]) - Static method in class jline.api.pfqn.Pfqn_replicas: Expand per-station metrics from reduced model to original dimensions.
pfqn_explicit(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_explicit: Overload with the documented defaults: machine precision, 'auto', no budget.
pfqn_explicit(Matrix, Matrix, double, String, double) - Static method in class jline.api.pfqn.nc.Pfqn_explicit: Explicit closed-form normalizing constant of a multiclass closed network.
Pfqn_explicit - Class in jline.api.pfqn.nc
pfqn_explicit_ld(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_explicit_ld: Overload with the documented defaults: machine precision, "auto", no budget.
pfqn_explicit_ld(Matrix, Matrix, Matrix, double, String, double) - Static method in class jline.api.pfqn.ld.Pfqn_explicit_ld: Explicit closed-form normalizing constant of a multiclass limited load-dependent network.
Pfqn_explicit_ld - Class in jline.api.pfqn.ld
Pfqn_explicit_ld.Result - Class in jline.api.pfqn.ld: Result of the closed form, mirroring [lG, G, method, lossDigits].
Pfqn_explicit.Result - Class in jline.api.pfqn.nc: Result of the closed form, mirroring [lG, G, method, lossDigits].
Pfqn_explicit.SignedLse - Class in jline.api.pfqn.nc: Signed log-sum-exp of S = sum_i s_i exp(l_i): log|S|, sign(S), digits lost.
pfqn_fnc(Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_fnc: Compute scaling factor of a load-dependent functional server use to calculate the mean
pfqn_fnc(Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_fnc: Compute scaling factor of a load-dependent functional server use to calculate the mean instantiated with scaling constant c.
Pfqn_fnc - Class in jline.api.pfqn.ld
pfqn_gerasimov(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_gerasimov: Delay-free case.
pfqn_gerasimov(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_gerasimov: Defaults: tol = 1e-12, maxterms = 200000.
pfqn_gerasimov(Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.nc.Pfqn_gerasimov: Exact normalizing constant of a closed multiclass product-form network by ITERATED RESIDUES of its rational generating function, one class at a time.
Pfqn_gerasimov - Class in jline.api.pfqn.nc
pfqn_gflinearizer(Matrix, Matrix, Matrix, SchedStrategy[], double, int, double) - Static method in class jline.api.pfqn.mva.Pfqn_gflinearizer: General-form linearizer algorithm
pfqn_gflinearizer(Matrix, Matrix, Matrix, SchedStrategy[], double, int, double, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_gflinearizer
Pfqn_gflinearizer - Class in jline.api.pfqn.mva
pfqn_gld(Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.ld.Pfqn_gld: Compute the normalizing constant of a single-class load-dependent closed queueing network model
Pfqn_gld - Class in jline.api.pfqn.ld
pfqn_gld_complex(ComplexMatrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.ld.Pfqn_gld_complex: Compute the normalizing constant of a single-class load-dependent closed queueing network model with complex demands.
Pfqn_gld_complex - Class in jline.api.pfqn.ld
pfqn_gld_sym(SymMatrix, Matrix, SymMatrix) - Static method in class jline.api.pfqn.ld.Pfqn_gld_sym: Normalizing constant of a load-dependent closed network, symbolically.
Pfqn_gld_sym - Class in jline.api.pfqn.ld: The gld recursion over EXACT SYMBOLIC demands and rates.
pfqn_gldsingle(Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.ld.Pfqn_gldsingle: Auxiliary function used by pfqn_gld to compute the normalizing constant in a single-class load-dependent model.
Pfqn_gldsingle - Class in jline.api.pfqn.ld
pfqn_gldsingle_complex(ComplexMatrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.ld.Pfqn_gldsingle_complex: Auxiliary function used by pfqn_gld to compute the normalizing constant in a single-class load-dependent model with complex demands.
Pfqn_gldsingle_complex - Class in jline.api.pfqn.ld
pfqn_gldsingle_sym(SymMatrix, Matrix, SymMatrix) - Static method in class jline.api.pfqn.ld.Pfqn_gldsingle_sym: Normalizing constant of a single-class load-dependent model, symbolically.
Pfqn_gldsingle_sym - Class in jline.api.pfqn.ld: The single-class gld recursion over EXACT SYMBOLIC demands and rates.
pfqn_grnmol(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_grnmol: Compute the normalizing constant using Grundmann-Moeller quadrature
Pfqn_grnmol - Class in jline.api.pfqn.nc
pfqn_harel_bounds(Matrix, int) - Static method in class jline.api.pfqn.Pfqn_harel_bounds
pfqn_harel_bounds(Matrix, int, double) - Static method in class jline.api.pfqn.Pfqn_harel_bounds
pfqn_harel_bounds(Matrix, int, double, Integer) - Static method in class jline.api.pfqn.Pfqn_harel_bounds
Pfqn_harel_bounds - Class in jline.api.pfqn
pfqn_harel_lb(Matrix, int) - Static method in class jline.api.pfqn.Pfqn_harel_bounds
pfqn_harel_lb(Matrix, int, double) - Static method in class jline.api.pfqn.Pfqn_harel_bounds
pfqn_harel_ub(Matrix, int, int) - Static method in class jline.api.pfqn.Pfqn_harel_bounds
pfqn_harel_ub(Matrix, int, int, double) - Static method in class jline.api.pfqn.Pfqn_harel_bounds
pfqn_hst(Matrix, double, double) - Static method in class jline.api.pfqn.sens.Pfqn_hst: Convenience overload analysing the bottleneck station.
pfqn_hst(Matrix, double, double, int) - Static method in class jline.api.pfqn.sens.Pfqn_hst: HST robustness certificate.
Pfqn_hst - Class in jline.api.pfqn.sens
Pfqn_hst.Result - Class in jline.api.pfqn.sens: HST sensitivity coefficients and the constrained worst case.
pfqn_is(Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_is: Importance-sampling estimate of the load-independent normalizing constant.
Pfqn_is - Class in jline.api.pfqn.nc: Importance-sampling (IS) estimate of the normalizing constant of a closed LOAD-INDEPENDENT product-form queueing network with M single-server queues of per-class demand L and an aggregated delay of think time Z.
pfqn_jdfun(Matrix, List<SerializableFunction<Matrix, Matrix>>, int) - Static method in class jline.api.pfqn.ld.Pfqn_jdfun: Evaluate joint-dependent (JD) scaling function for the first class.
pfqn_jdfun(Matrix, List<SerializableFunction<Matrix, Matrix>>, int, int) - Static method in class jline.api.pfqn.ld.Pfqn_jdfun: Evaluate joint-dependent (JD) scaling function.
Pfqn_jdfun - Class in jline.api.pfqn.ld
pfqn_joint(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.Pfqn_joint
pfqn_joint(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.Pfqn_joint
pfqn_joint(Matrix, Matrix, Matrix, Matrix, Double) - Static method in class jline.api.pfqn.Pfqn_joint: Compute the joint queue-length probability for vector n
Pfqn_joint - Class in jline.api.pfqn
pfqn_jointmarg(Matrix, Matrix, Matrix, int[]) - Static method in class jline.api.pfqn.Pfqn_jointmarg
pfqn_jointmarg(Matrix, Matrix, Matrix, int[], Double) - Static method in class jline.api.pfqn.Pfqn_jointmarg
pfqn_jointmarg(Matrix, Matrix, Matrix, int[], Double, String) - Static method in class jline.api.pfqn.Pfqn_jointmarg: Joint probability of the per-station total queue lengths.
Pfqn_jointmarg - Class in jline.api.pfqn: Joint probability of the per-station TOTAL queue lengths.
Pfqn_jointmarg.Ret_jointmarg - Class in jline.api.pfqn: Result of a joint total-queue-length evaluation.
pfqn_kt(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_kt: Knessl-Tier asymptotic expansion of the normalizing constant using the ray method.
Pfqn_kt - Class in jline.api.pfqn.nc
pfqn_lap(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_lap: Compute the Laplace approximation for the log normalizing constant.
Pfqn_lap - Class in jline.api.pfqn.nc
pfqn_lcfsqn_ca(Matrix, Matrix) - Static method in class jline.api.pfqn.lcfs.Pfqn_lcfsqn_ca
pfqn_lcfsqn_ca(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.lcfs.Pfqn_lcfsqn_ca: Convolution algorithm for multiclass LCFS queueing networks.
Pfqn_lcfsqn_ca - Class in jline.api.pfqn.lcfs
pfqn_lcfsqn_mva(Matrix, Matrix) - Static method in class jline.api.pfqn.lcfs.Pfqn_lcfsqn_mva
pfqn_lcfsqn_mva(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.lcfs.Pfqn_lcfsqn_mva
Pfqn_lcfsqn_mva - Class in jline.api.pfqn.lcfs: Mean Value Analysis for LCFS Queueing Networks.
pfqn_lcfsqn_nc(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.lcfs.Pfqn_lcfsqn_nc: Normalizing constant for multiclass LCFS queueing networks.
Pfqn_lcfsqn_nc - Class in jline.api.pfqn.lcfs
Pfqn_lcfsqn_nc.LcfsqnNcResult - Class in jline.api.pfqn.lcfs: Result for LCFS NC algorithm.
pfqn_lcp(Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_lcp
pfqn_lcp(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_lcp
pfqn_lcp(Matrix, Matrix, Matrix, double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_lcp
pfqn_lcp(Matrix, Matrix, Matrix, double, int, Matrix, SchedStrategy[]) - Static method in class jline.api.pfqn.mva.Pfqn_lcp
Pfqn_lcp - Class in jline.api.pfqn.mva: Bard Large Customer Population (LCP) approximate MVA.
pfqn_ld_is(Matrix, Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_ld_is: Importance-sampling estimate of the load-dependent normalizing constant.
Pfqn_ld_is - Class in jline.api.pfqn.nc: Importance-sampling (IS) estimate of the normalizing constant of a closed LOAD-DEPENDENT product-form queueing network.
pfqn_ldbcmp(Matrix, double, double, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_ldbcmp: Lower throughput bound (and response-time upper bound) for LD-BCMP closed networks.
Pfqn_ldbcmp - Class in jline.api.pfqn.mva
pfqn_ldmx_ec(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_ldmx_ec: Auxiliary function used by pfqn_mvaldmx to compute the EC terms.
Pfqn_ldmx_ec - Class in jline.api.pfqn.ld
pfqn_le(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_le
pfqn_le(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_le: Logistic expansion method to compute the normalizing constant.
Pfqn_le - Class in jline.api.pfqn.nc
pfqn_le_fpi(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_le_fpi: Fixed-point iteration used in the logistic expansion method.
Pfqn_le_fpi - Class in jline.api.pfqn.nc
pfqn_le_fpiZ(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_le_fpiZ: Fixed-point iteration used in the logistic expansion method in models with delays.
Pfqn_le_fpiZ - Class in jline.api.pfqn.nc
pfqn_le_hessian(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_le_hessian: Auxiliary function to compute the Hessian used in the logistic expansion method.
Pfqn_le_hessian - Class in jline.api.pfqn.nc
pfqn_lekt(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_lekt
pfqn_lekt(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_lekt: The corrected logistic expansion (pfqn_ble) and the corrected Knessl-Tier expansion (pfqn_bkt) are ONE estimator, evaluated in M-1 and in R dimensions: with a think time their stationary points are one point in dual coordinates (xi_r = N_r/(Z_r + v u'L_r), the class throughputs of the LE fixed point, and v u_k = 1/(1-U_k), the M/M/1 factor of the KT saddle) and Sylvester's identity exchanges the R x R Hessian determinant for the M x M one, after which every 2 pi cancels.
Pfqn_lekt - Class in jline.api.pfqn.nc
pfqn_linearizer(Matrix, Matrix, Matrix, SchedStrategy[]) - Static method in class jline.api.pfqn.mva.Pfqn_linearizer
pfqn_linearizer(Matrix, Matrix, Matrix, SchedStrategy[], double) - Static method in class jline.api.pfqn.mva.Pfqn_linearizer
pfqn_linearizer(Matrix, Matrix, Matrix, SchedStrategy[], double, int) - Static method in class jline.api.pfqn.mva.Pfqn_linearizer: Linearizer approximate mean value analysis algorithm
pfqn_linearizer(Matrix, Matrix, Matrix, SchedStrategy[], double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_linearizer
Pfqn_linearizer - Class in jline.api.pfqn.mva
pfqn_linearizerms(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_linearizerms
pfqn_linearizerms(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_linearizerms
pfqn_linearizerms(Matrix, Matrix, Matrix, Matrix, List<SchedStrategy>) - Static method in class jline.api.pfqn.mva.Pfqn_linearizerms
pfqn_linearizerms(Matrix, Matrix, Matrix, Matrix, List<SchedStrategy>, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_linearizerms
pfqn_linearizerms(Matrix, Matrix, Matrix, Matrix, List<SchedStrategy>, double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_linearizerms
Pfqn_linearizerms - Class in jline.api.pfqn.mva: Multi-server Krzesinski linearizer approximate MVA.
pfqn_linearizermx(Matrix, Matrix, Matrix, Matrix, Matrix, SchedStrategy[], double, int, String) - Static method in class jline.api.pfqn.mva.Pfqn_linearizermx: Linearizer method for mixed models with multi-server stations.
pfqn_linearizermx(Matrix, Matrix, Matrix, Matrix, Matrix, SchedStrategy[], double, int, String, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_linearizermx
Pfqn_linearizermx - Class in jline.api.pfqn.mva
pfqn_linearizerpp(Matrix, Matrix, int) - Static method in class jline.api.pfqn.mva.Pfqn_linearizerpp
pfqn_linearizerpp(Matrix, Matrix, Matrix, int) - Static method in class jline.api.pfqn.mva.Pfqn_linearizerpp
pfqn_linearizerpp(Matrix, Matrix, Matrix, int, double) - Static method in class jline.api.pfqn.mva.Pfqn_linearizerpp
pfqn_linearizerpp(Matrix, Matrix, Matrix, int, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_linearizerpp
pfqn_linearizerpp(Matrix, Matrix, Matrix, int, double, int, int) - Static method in class jline.api.pfqn.mva.Pfqn_linearizerpp
Pfqn_linearizerpp - Class in jline.api.pfqn.mva: Linearizer++ algorithm for closed networks without think times.
pfqn_lld(Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.ld.Pfqn_lld: Normalizing constant of a multiclass limited load-dependent closed model.
Pfqn_lld - Class in jline.api.pfqn.ld: Same recursion, same arithmetic and the same result as Pfqn_gld, but with the rate shift saturated at the limited load-dependence threshold, which makes the recursion's state space finite and lets it be memoised.
pfqn_lldfun(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_lldfun: Evaluate limited-load dependent (LLD) function.
Pfqn_lldfun - Class in jline.api.pfqn.ld
pfqn_lldsingle(Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.ld.Pfqn_lldsingle: Auxiliary function used by Pfqn_ncld and Pfqn_nre to compute the normalizing constant in a single-class limited load-dependent model.
Pfqn_lldsingle - Class in jline.api.pfqn.ld: Same recursion, same arithmetic and bit-identical results to Pfqn_gldsingle, but with the rate-offset axis truncated at the limited load-dependence threshold instead of at the population.
pfqn_looping(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_looping
pfqn_looping(Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_looping
Pfqn_looping - Class in jline.api.pfqn.mva: Eager Looping approximate MVA bounds.
Pfqn_looping.Result - Class in jline.api.pfqn.mva: Result of the Looping iteration.
pfqn_ls(Matrix, Matrix, long) - Static method in class jline.api.pfqn.nc.Pfqn_ls
pfqn_ls(Matrix, Matrix, long, long) - Static method in class jline.api.pfqn.nc.Pfqn_ls
pfqn_ls(Matrix, Matrix, Matrix, long) - Static method in class jline.api.pfqn.nc.Pfqn_ls
pfqn_ls(Matrix, Matrix, Matrix, long, long) - Static method in class jline.api.pfqn.nc.Pfqn_ls: Logistic sampling method to compute the normalizing constant.
Pfqn_ls - Class in jline.api.pfqn.nc
pfqn_manjunath(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_manjunath: Exact normalizing constant of an unconstrained closed network.
pfqn_manjunath(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_manjunath: Exact normalizing constant of an unconstrained closed network with delay.
pfqn_manjunath(Matrix, Matrix, Matrix, Matrix, Matrix, String) - Static method in class jline.api.pfqn.nc.Pfqn_manjunath: Exact normalizing constant of a constrained closed product-form network.
pfqn_manjunath(Matrix, Matrix, Matrix, Matrix, Matrix, String, boolean) - Static method in class jline.api.pfqn.nc.Pfqn_manjunath: As above, additionally returning the per-class decomposition when stats is set.
Pfqn_manjunath - Class in jline.api.pfqn.nc: Exact normalizing constant of a closed multiclass product-form network whose state space carries arbitrary linear integer constraints.
pfqn_marie(Matrix, double, double, Matrix) - Static method in class jline.api.pfqn.Pfqn_marie
pfqn_marie(Matrix, double, double, Matrix, double, int, Matrix) - Static method in class jline.api.pfqn.Pfqn_marie
Pfqn_marie - Class in jline.api.pfqn: Marie's iterative aggregation-decomposition (Marie 1979/1980) for closed queueing networks with FCFS non-exponential (Coxian) service.
pfqn_marie_multi(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.Pfqn_marie
pfqn_marie_multi(Matrix, Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.Pfqn_marie: Marie's method for multiclass FCFS Coxian closed networks.
Pfqn_marie.MultiResult - Class in jline.api.pfqn: Result of Pfqn_marie.pfqn_marie_multi(jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix).
Pfqn_marie.Result - Class in jline.api.pfqn: Result of Pfqn_marie.pfqn_marie(jline.util.matrix.Matrix, double, double, jline.util.matrix.Matrix).
pfqn_mci(Matrix, Matrix, Matrix, int, String) - Static method in class jline.api.pfqn.nc.Pfqn_mci: Monte Carlo integration for the normalizing constant.
Pfqn_mci - Class in jline.api.pfqn.nc
pfqn_mcmc(Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_mcmc: Single-server form: every queueing station serves one job at a time.
pfqn_mcmc(Matrix, Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_mcmc: Multiserver form, the paper's own selling point (its Tables IV and V).
Pfqn_mcmc - Class in jline.api.pfqn.nc: Markov chain Monte Carlo estimator of the class throughputs X(r) = G(N-e_r)/G(N) and of the mean queue lengths Q(i,r) of a CLOSED multiclass product-form (BCMP, no type changes) network, by the REGULARIZATION algorithm of
pfqn_mcub(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mcub: Multiclass composite upper bound and its BJB lower seed.
Pfqn_mcub - Class in jline.api.pfqn.mva
pfqn_minclasses(double, int, int) - Static method in class jline.api.pfqn.mva.Pfqn_scb: Smallest number of customer classes R consistent with an observed sum of device utilizations, obtained by inverting the demand-free Expression (6) bound of Pfqn_scb.pfqn_usumbound(int, int, int), which is nondecreasing in R.
pfqn_mmint2(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_mmint2
Pfqn_mmint2 - Class in jline.api.pfqn.nc
pfqn_mmint2_gausslaguerre(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_mmint2_gausslaguerre
pfqn_mmint2_gausslaguerre(Matrix, Matrix, Matrix, int) - Static method in class jline.api.pfqn.nc.Pfqn_mmint2_gausslaguerre
Pfqn_mmint2_gausslaguerre - Class in jline.api.pfqn.nc: Compute the normalizing constant of a repairmen model using Gauss-Laguerre integration.
pfqn_mmint2_gausslegendre(Matrix, Matrix, Matrix, Integer) - Static method in class jline.api.pfqn.nc.Pfqn_mmint2_gausslegendre: Compute the normalizing constant of a repairmen model using Gauss-Legendre integration.
Pfqn_mmint2_gausslegendre - Class in jline.api.pfqn.nc
pfqn_mmsample2(Matrix, Matrix, Matrix, int) - Static method in class jline.api.pfqn.nc.Pfqn_mmsample2
Pfqn_mmsample2 - Class in jline.api.pfqn.nc
pfqn_momlin(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_momlin
pfqn_momlin(Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_momlin: Approximate first and second queue-length moments of a closed product-form network.
Pfqn_momlin - Class in jline.api.pfqn.mva
Pfqn_momlin.MomlinResult - Class in jline.api.pfqn.mva: Result of Pfqn_momlin.pfqn_momlin(jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix).
pfqn_mu_ms(int, int, int) - Static method in class jline.api.pfqn.ld.Pfqn_mu_ms
Pfqn_mu_ms - Class in jline.api.pfqn.ld
pfqn_mu_ms_gnaux(int, int, int, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_mu_ms
pfqn_mushift(Matrix, int) - Static method in class jline.api.pfqn.ld.Pfqn_mushift: Shifts a load-dependent scaling vector by one position
Pfqn_mushift - Class in jline.api.pfqn.ld
pfqn_mva(Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mva
pfqn_mva(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mva
pfqn_mva(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mva: Mean Value Analysis (MVA) Algorithm for closed Product-Form Queueing Networks.
Pfqn_mva - Class in jline.api.pfqn.mva
pfqn_mva_ilock(Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mva_ilock: Mean Value Analysis with the interlocked-flow correction of Franks (1999), Eq.
Pfqn_mva_ilock - Class in jline.api.pfqn.mva
pfqn_mva_interval(Matrix, double, double) - Static method in class jline.api.pfqn.mva.Pfqn_mva_interval: Convenience overload for a thin population and think time.
pfqn_mva_interval(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mva_interval: Exact hull of single-class MVA over an input box.
Pfqn_mva_interval - Class in jline.api.pfqn.mva
Pfqn_mva_interval.Result - Class in jline.api.pfqn.mva: Interval-valued mean performance measures.
pfqn_mvac(Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mvac: MVAC algorithm for a closed product-form network with no infinite-server center.
pfqn_mvac(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mvac: MVAC (Mean Value Analysis by Chain) algorithm for closed multichain product-form queueing networks composed of single-server fixed-rate (SSFR) queues and infinite-server (IS) centers.
Pfqn_mvac - Class in jline.api.pfqn.mva
pfqn_mvacld(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_mvacld: MVAC for a load-dependent closed network with no infinite-server center.
pfqn_mvacld(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_mvacld: MVAC (Mean Value Analysis by Chain) for a closed multichain product-form queueing network that may contain queue-length dependent (QLD) service centers.
Pfqn_mvacld - Class in jline.api.pfqn.ld
pfqn_mvajd(double[], int[], ToDoubleFunction<int[]>) - Static method in class jline.api.pfqn.mva.Pfqn_mvajd
pfqn_mvajd(double[], int[], List<ToDoubleFunction<int[]>>, double[][]) - Static method in class jline.api.pfqn.mva.Pfqn_mvajd
pfqn_mvajd(double[], int[], List<ToDoubleFunction<int[]>>, double[][], double[][]) - Static method in class jline.api.pfqn.mva.Pfqn_mvajd
Pfqn_mvajd - Class in jline.api.pfqn.mva: The two names denote the SAME routine because the recursion evaluates the rate handle at a full occupancy vector, mu_i(s_i + e_r) with s_i the shift (the occupancy already committed at the bottom of station i), and never inspects the structure of mu_i.
pfqn_mvald(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_mvald
pfqn_mvald(Matrix, Matrix, Matrix, Matrix, boolean) - Static method in class jline.api.pfqn.ld.Pfqn_mvald
Pfqn_mvald - Class in jline.api.pfqn.ld
pfqn_mvaldms(Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_mvaldms: Wrapper for pfqn_mvaldmx that adjusts utilizations to account for multiservers.
Pfqn_mvaldms - Class in jline.api.pfqn.ld
pfqn_mvaldmx(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_mvaldmx: MVA method for mixed queueing networks with load-dependent nodes.
Pfqn_mvaldmx - Class in jline.api.pfqn.ld
pfqn_mvams(Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mvams
pfqn_mvams(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mvams: General purpose script to handle mixed Query Networks with multiserver nodes.
Pfqn_mvams - Class in jline.api.pfqn.mva
pfqn_mvams_ilock(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mvams_ilock: As Pfqn_mvams.pfqn_mvams(jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix), but carrying the interlock matrix IL through to Pfqn_mva_ilock.
Pfqn_mvams_ilock - Class in jline.api.pfqn.mva
pfqn_mvamx(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mvamx
pfqn_mvamx(Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_mvamx: Mean Value Analysis (MVA) method for open and mixed queueing networks with no multi-server nodes.
Pfqn_mvamx - Class in jline.api.pfqn.mva
pfqn_mvaoi(double[], int[], ToDoubleFunction<int[]>) - Static method in class jline.api.pfqn.mva.Pfqn_mvaoi: Single-OI, delay-only convenience overload.
pfqn_mvaoi(double[], int[], List<ToDoubleFunction<int[]>>, double[][]) - Static method in class jline.api.pfqn.mva.Pfqn_mvaoi
pfqn_mvaoi(double[], int[], List<ToDoubleFunction<int[]>>, double[][], double[][]) - Static method in class jline.api.pfqn.mva.Pfqn_mvaoi
Pfqn_mvaoi - Class in jline.api.pfqn.mva: Mean-value analysis of a closed product-form queueing network composed of an aggregated infinite-server (delay) node, any number of load-independent (LI) single-server product-form queues, and any number of order-independent (OI) / pass-and-swap stations with empty swap graph.
pfqn_mvaoi_marg(double[][], int[], boolean[], List<ToDoubleFunction<int[]>>) - Static method in class jline.api.pfqn.mva.Pfqn_mvaoi_marg
Pfqn_mvaoi_marg - Class in jline.api.pfqn.mva: Exact marginal load-dependent MVA for a closed product-form network of infinite-server (delay) and load-independent (single-server, product-form) stations plus ANY number of order-independent (OI) stations.
Pfqn_mvaoi_marg.Result - Class in jline.api.pfqn.mva: Result: per-class throughput XN (R) and per-station queue-lengths QN (M x R).
Pfqn_mvaoi.Result - Class in jline.api.pfqn.mva: Result: per-class throughput X, OI queue-lengths Qoi (K x R), LI queue-lengths Qli (J x R), delay queue-length Qdelay (R).
pfqn_mvasjn(Matrix, Matrix, Matrix, Matrix, int[], Matrix, SjnOptions) - Static method in class jline.api.pfqn.mva.Pfqn_mvasjn: Mean value analysis with shortest-job-next stations, over the whole population lattice.
Pfqn_mvasjn - Class in jline.api.pfqn.mva
Pfqn_mvasjn.Profile - Class in jline.api.pfqn.mva: Conditional waiting time profile of one SJN station at the target population.
Pfqn_mvasjn.Result - Class in jline.api.pfqn.mva: Mean performance measures of the network.
pfqn_mwrbb(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.Pfqn_mwrbb: FIFO, equal-priority convenience overload.
pfqn_mwrbb(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.Pfqn_mwrbb
Pfqn_mwrbb - Class in jline.api.pfqn: Majumdar-Woodside robust box bounds on throughput for closed multiclass queueing networks with mixed scheduling disciplines.
Pfqn_mwrbb.Result - Class in jline.api.pfqn: Result holder for Pfqn_mwrbb.pfqn_mwrbb(jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix).
pfqn_nc(Matrix, Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_nc: Normalizing constant of a closed or mixed product-form network, with the mean values a few methods produce as a by-product.
pfqn_nc(Matrix, Matrix, Matrix, Matrix, SolverOptions, boolean) - Static method in class jline.api.pfqn.nc.Pfqn_nc
Pfqn_nc - Class in jline.api.pfqn.nc
pfqn_nc_sanitize(Matrix, Matrix, Matrix, Matrix, double) - Static method in class jline.api.pfqn.nc.Pfqn_nc_sanitize: Sanitizes product-form model parameters to avoid degeneracies.
Pfqn_nc_sanitize - Class in jline.api.pfqn.nc
pfqn_nca(Matrix, int, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_nca
Pfqn_nca - Class in jline.api.pfqn.nc
pfqn_ncjd(double[], int[], List<ToDoubleFunction<int[]>>) - Static method in class jline.api.pfqn.nc.Pfqn_ncjd
pfqn_ncjd(double[], int[], List<ToDoubleFunction<int[]>>, double[][]) - Static method in class jline.api.pfqn.nc.Pfqn_ncjd
Pfqn_ncjd - Class in jline.api.pfqn.nc: The two names denote the SAME routine because the balanced-fairness recursion Phi_i(0) = 1, mu_i(n) Phi_i(n) = sum_{r: n_r>0} v_{i,r} Phi_i(n - e_r) never inspects the structure of mu_i: it evaluates the handle at the full count vector n.
pfqn_ncld(Matrix, Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.ld.Pfqn_ncld
Pfqn_ncld - Class in jline.api.pfqn.ld
pfqn_ncldmx(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.ld.Pfqn_ncldmx: Normalizing constant and mean measures for mixed open/closed networks with limited load dependence.
Pfqn_ncldmx - Class in jline.api.pfqn.ld
pfqn_ncoi(double[], int[], List<ToDoubleFunction<int[]>>) - Static method in class jline.api.pfqn.nc.Pfqn_ncoi: Normalizing constant of a closed OI + single-delay product-form network.
pfqn_ncoi(double[], int[], List<ToDoubleFunction<int[]>>, double[][]) - Static method in class jline.api.pfqn.nc.Pfqn_ncoi
Pfqn_ncoi - Class in jline.api.pfqn.nc
pfqn_nintmva(Matrix, double, double) - Static method in class jline.api.pfqn.mva.Pfqn_nintmva: MVA recursion from the fractional base.
Pfqn_nintmva - Class in jline.api.pfqn.mva
Pfqn_nintmva.Result - Class in jline.api.pfqn.mva: Mean performance measures at a real-valued population.
pfqn_nre(Matrix, Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_nre: Logarithm of the normalizing constant of a limited load-dependent model.
Pfqn_nre - Class in jline.api.pfqn.nc: Normalizing constant via the saddle-tilted Edgeworth (NRE) approximation.
pfqn_nre_full(Matrix, Matrix, Matrix, Matrix, SolverOptions, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_nre: The full form of the reference's four outputs, named alike in the native python and C++ ports: the constant, the saddlepoint term alone and the tilt used.
Pfqn_nre.Result - Class in jline.api.pfqn.nc: MATLAB's [lG,G,lGs,vsad]: the constant, the saddlepoint term on its own and the tilt the expansion was taken about.
pfqn_nrl(Matrix, Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_nrl
Pfqn_nrl - Class in jline.api.pfqn.nc
pfqn_nrp(Matrix, Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_nrp
Pfqn_nrp - Class in jline.api.pfqn.nc
pfqn_oi_fnc(Matrix, int[]) - Static method in class jline.api.pfqn.ld.Pfqn_oi_fnc: Default target f(n) = sum(n) (total occupancy).
pfqn_oi_fnc(Matrix, int[], ToDoubleFunction<int[]>) - Static method in class jline.api.pfqn.ld.Pfqn_oi_fnc: OI functional-server balance/rate for a target queue-dependent function.
Pfqn_oi_fnc - Class in jline.api.pfqn.ld
pfqn_oi_insvc(ToDoubleFunction<int[]>, int[]) - Static method in class jline.api.pfqn.ld.Pfqn_oi_insvc: Conditional mean number of in-service jobs per class over the population lattice 0 <= n <= N.
Pfqn_oi_insvc - Class in jline.api.pfqn.ld: Conditional mean number of in-service jobs per class at an OI station.
Pfqn_oi_insvc() - Constructor for class jline.api.pfqn.ld.Pfqn_oi_insvc
Pfqn_oi_insvc.Result - Class in jline.api.pfqn.ld: Result of Pfqn_oi_insvc.pfqn_oi_insvc(java.util.function.ToDoubleFunction<int[]>, int[]).
pfqn_pam(Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_pam
pfqn_pam(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_pam
pfqn_pam(Matrix, Matrix, Matrix, String) - Static method in class jline.api.pfqn.mva.Pfqn_pam
Pfqn_pam - Class in jline.api.pfqn.mva: Hsieh-Lam Proportional Approximation Methods (PAMB/PAMI/PAMT).
pfqn_panacea(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_panacea
pfqn_panacea(Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_panacea: Compute the PANACEA approximation
Pfqn_panacea - Class in jline.api.pfqn.nc
pfqn_panaceald(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_panaceald
pfqn_panaceald(Matrix, Matrix, Matrix, Matrix, int) - Static method in class jline.api.pfqn.ld.Pfqn_panaceald: Compute the load-dependent PANACEA approximation
Pfqn_panaceald - Class in jline.api.pfqn.ld: Mitra-McKenna (JACM 33(3):568-592, 1986) load-dependent PANACEA: the expansion coefficients A_n are linear combinations of partition functions of a pseudonetwork whose load dependence is the phi(n) transform of the original {f(n)}.
pfqn_pas_is(int[], List<ToDoubleFunction<int[]>>, int[][], long, long, boolean) - Static method in class jline.api.pfqn.nc.Pfqn_pas_is
pfqn_pas_is(int[], List<ToDoubleFunction<int[]>>, int[][], long, long, boolean, boolean) - Static method in class jline.api.pfqn.nc.Pfqn_pas_is: As Pfqn_pas_is.pfqn_pas_is(int[], List, int[][], long, long, boolean), with the queue-length coefficients made optional.
Pfqn_pas_is - Class in jline.api.pfqn.nc: Importance-sampling (IS) estimate of the normalizing constant of a SINGLE communicating class of a closed two-station pass-and-swap (P&S) / order-independent (OI) tandem with swap graph H (Casale, Comte and Dorsman, 2026).
Pfqn_pas_is.Result - Class in jline.api.pfqn.nc: Result of Pfqn_pas_is.pfqn_pas_is(int[], java.util.List<java.util.function.ToDoubleFunction<int[]>>, int[][], long, long, boolean): G, log G, and (2 x R) mean queue lengths.
pfqn_pas_nc(double[], int[], List<ToDoubleFunction<int[]>>) - Static method in class jline.api.pfqn.nc.Pfqn_pas_nc: Normalizing constant of a closed P&S network with no placement order, i.e.
pfqn_pas_nc(double[], int[], List<ToDoubleFunction<int[]>>, List<boolean[][]>) - Static method in class jline.api.pfqn.nc.Pfqn_pas_nc: Normalizing constant G_C of the communicating class selected by the placement order.
Pfqn_pas_nc - Class in jline.api.pfqn.nc
pfqn_pbh(Matrix, double, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_pbh: Level-`level` Performance Bound Hierarchy throughput bounds.
Pfqn_pbh - Class in jline.api.pfqn.mva
pfqn_pbk(Matrix, double, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_pbk: Iterative proportional bounds PB(k).
Pfqn_pbk - Class in jline.api.pfqn.mva
pfqn_perm(Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_perm: Permanent of the square matrix A.
pfqn_perm(Matrix, int[]) - Static method in class jline.api.pfqn.nc.Pfqn_perm: Permanent of the matrix whose column j is column j of A repeated m[j] times, so that sum(m) equals the number of rows of A.
Pfqn_perm - Class in jline.api.pfqn.nc: Permanent of a demand matrix, with optional column multiplicities.
pfqn_pff_delay(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_pff_delay: Compute the product-form factor relatively to a Delay station.
Pfqn_pff_delay - Class in jline.api.pfqn.nc
pfqn_procomom(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_procomom
pfqn_procomom(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_procomom
pfqn_procomom(Matrix, Matrix, Matrix, double) - Static method in class jline.api.pfqn.nc.Pfqn_procomom
Pfqn_procomom - Class in jline.api.pfqn.nc
pfqn_procomom2(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_procomom2
pfqn_procomom2(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_procomom2
pfqn_procomom2(Matrix, Matrix, Matrix, Matrix, Integer) - Static method in class jline.api.pfqn.ld.Pfqn_procomom2: Compute marginal state probabilities for the queue in a model consisting of a queueing station and a delay station only.
Pfqn_procomom2 - Class in jline.api.pfqn.ld
pfqn_propfair(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_propfair: Compute the proportionally fair allocation approximation.
Pfqn_propfair - Class in jline.api.pfqn.nc
pfqn_qdamva(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_qdamva: QD-AMVA with the reference's default tolerance and iteration cap.
pfqn_qdamva(Matrix, Matrix, Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.ld.Pfqn_qdamva: QD-AMVA.
Pfqn_qdamva - Class in jline.api.pfqn.ld: QD-AMVA on a closed multiclass product-form network.
Pfqn_qdamva.Result - Class in jline.api.pfqn.ld: The fixed point Pfqn_qdamva.pfqn_qdamva(jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix) reaches, and how many sweeps it took.
pfqn_qdlin(Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_qdlin: QD-LIN with the reference's default tolerances and iteration cap.
pfqn_qdlin(Matrix, Matrix, Matrix, Matrix, Matrix, double, int, double) - Static method in class jline.api.pfqn.ld.Pfqn_qdlin: QD-LIN.
Pfqn_qdlin - Class in jline.api.pfqn.ld: QD-LIN: the Linearizer arm of AMVA-LD, on a plain demand matrix.
Pfqn_qdlin.Result - Class in jline.api.pfqn.ld: The fixed point Pfqn_qdlin.pfqn_qdlin(jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix) reaches, and how many sweeps it took.
pfqn_qlen_joint_moments(Matrix, Matrix, Matrix, int[][]) - Static method in class jline.api.pfqn.nc.Pfqn_qlen_joint_moments: Joint queue-length moments with the default options and no injected source of normalizing constants.
pfqn_qlen_joint_moments(Matrix, Matrix, Matrix, int[][], String, BiFunction<Matrix, Matrix, Matrix>, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_qlen_joint_moments: Joint queue-length moments of a closed product-form network.
Pfqn_qlen_joint_moments - Class in jline.api.pfqn.nc: Joint moments of the queue-length vector of a closed product-form network, obtained from normalizing constants.
pfqn_qsa(Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_qsa
pfqn_qsa(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_qsa
pfqn_qsa(Matrix, Matrix, Matrix, SchedStrategy[], double, int) - Static method in class jline.api.pfqn.mva.Pfqn_qsa
pfqn_qsa(Matrix, Matrix, Matrix, SchedStrategy[], double, int, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_qsa
Pfqn_qsa - Class in jline.api.pfqn.mva: Schweitzer, Serazzi and Broglia, "A Queue-Shift Approximation Technique for Product-Form Queueing Networks", Tools'98, LNCS 1469, pp.
pfqn_qzgblow(Matrix, double, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_qzgblow: Computes the lower Geometric Bound (GB) for the queue length of the given closed single-class queueing networks
Pfqn_qzgblow - Class in jline.api.pfqn.mva
pfqn_qzgbup(Matrix, double, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_qzgbup: Computes the upper Geometric Bound (GB) for the queue length of the given closed single-class queueing networks.
Pfqn_qzgbup - Class in jline.api.pfqn.mva
pfqn_rd(Matrix, Matrix, Matrix, Matrix, SolverOptions) - Static method in class jline.api.pfqn.nc.Pfqn_rd
Pfqn_rd - Class in jline.api.pfqn.nc
pfqn_recal(Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_recal: RECAL method to compute the normalizing constant of a load-independent closed queueing network model.
pfqn_recal(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_recal
pfqn_recal(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_recal
Pfqn_recal - Class in jline.api.pfqn.nc
Pfqn_replicas - Class in jline.api.pfqn
pfqn_respt_ps_moments(double[], double[], double[]) - Static method in class jline.api.pfqn.Pfqn_respt_ps_moments: Sojourn-time moments at the PS station, choosing the route automatically.
pfqn_respt_ps_moments(double[], double[], double[], String) - Static method in class jline.api.pfqn.Pfqn_respt_ps_moments: Sojourn-time moments at the PS station.
Pfqn_respt_ps_moments - Class in jline.api.pfqn: Sojourn-time moments at the processor-sharing station of the closed terminal-driven system of Mitra and Morrison (1983): a bank of terminals in series with a single processor-sharing CPU, with class-dependent exponential think times (mean Z[r]) and class-dependent exponential service times (mean S[r]), and N[r] jobs of class r cycling between the two.
pfqn_rgf(Matrix, double, double) - Static method in class jline.api.pfqn.nc.Pfqn_rgf: Exact normalizing constant by convolution of per-node generating-function sequences.
Pfqn_rgf - Class in jline.api.pfqn.nc
Pfqn_rgf.Result - Class in jline.api.pfqn.nc: Result of the RGF recursion: the whole log-normalizing-constant sequence.
pfqn_rgfmc(Matrix, double[], double[]) - Static method in class jline.api.pfqn.nc.Pfqn_rgfmc: Exact multiclass normalizing constant by recursion on generating functions.
pfqn_rgfmc(Matrix, double[], double[], double, int, double) - Static method in class jline.api.pfqn.nc.Pfqn_rgfmc
Pfqn_rgfmc - Class in jline.api.pfqn.nc: Harrison and Coury, "On the asymptotic behaviour of closed multiclass queueing networks", Perf.
Pfqn_rgfmc.Result - Class in jline.api.pfqn.nc: Normalizing constant and its logarithm.
pfqn_scat(Matrix, Matrix, Matrix, SchedStrategy[]) - Static method in class jline.api.pfqn.mva.Pfqn_scat
pfqn_scat(Matrix, Matrix, Matrix, SchedStrategy[], double, int) - Static method in class jline.api.pfqn.mva.Pfqn_scat
pfqn_scat(Matrix, Matrix, Matrix, SchedStrategy[], double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_scat
Pfqn_scat - Class in jline.api.pfqn.mva
pfqn_scb(Matrix, int) - Static method in class jline.api.pfqn.mva.Pfqn_scb: Bracket on the total throughput and the per-device utilizations of the UNKNOWN multiclass system whose single-class counterpart has demand vector L at population N.
Pfqn_scb - Class in jline.api.pfqn.mva
pfqn_scbgap(int, int) - Static method in class jline.api.pfqn.mva.Pfqn_scb: Full single-class aggregation, dominating classes allowed: r = N, undominated = false.
pfqn_scbgap(int, int, int, boolean) - Static method in class jline.api.pfqn.mva.Pfqn_scb: Demand-free bound on the relative throughput error incurred when r of the N single-customer classes of a closed product-form network are merged into one class.
pfqn_schmidt(Matrix, Matrix, Matrix, List<SchedStrategy>) - Static method in class jline.api.pfqn.ld.Pfqn_schmidt
pfqn_schmidt(Matrix, Matrix, Matrix, Matrix, List<SchedStrategy>) - Static method in class jline.api.pfqn.mva.Pfqn_schmidt_amva
Pfqn_schmidt - Class in jline.api.pfqn.ld: Schmidt method for load-dependent MVA with multi-server stations.
Pfqn_schmidt_amva - Class in jline.api.pfqn.mva: Schmidt MVA algorithm for multi-class FCFS queueing networks.
pfqn_schmidt_ext(Matrix, Matrix, Matrix, Matrix, List<SchedStrategy>) - Static method in class jline.api.pfqn.mva.Pfqn_schmidt_amva
pfqn_sdr(Matrix, Matrix, Matrix, StateDepRouting, Matrix) - Static method in class jline.api.pfqn.Pfqn_sdr: Exact product form of eq.
Pfqn_sdr - Class in jline.api.pfqn: Product-form state-dependent routing of Krzesinski (1987), "Multiclass Queueing Networks with State-Dependent Routing", Performance Evaluation 7(2):125-143, the multiclass generalization of Towsley (1980), J.
Pfqn_sdr() - Constructor for class jline.api.pfqn.Pfqn_sdr
Pfqn_sdr.Coeff - Class in jline.api.pfqn: Derived coefficients of an SDR structure, eqs.
Pfqn_sdr.Result - Class in jline.api.pfqn: Mean performance measures returned by Pfqn_sdr.pfqn_sdr(jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.lang.StateDepRouting, jline.util.matrix.Matrix).
pfqn_sdrcoeff(StateDepRouting) - Static method in class jline.api.pfqn.Pfqn_sdr: Validates an SDR structure and returns its derived coefficients.
pfqn_sdrmva(Matrix, Matrix, Matrix, StateDepRouting, Matrix) - Static method in class jline.api.pfqn.Pfqn_sdr: Section 4 mean value analysis and convolution.
pfqn_sdrped(double[]) - Static method in class jline.api.pfqn.Pfqn_sdr: Probability of being denied entry into Q(V,V) and routed straight to the departure center, given the branch probabilities of Pfqn_sdr.pfqn_sdrprob(jline.api.pfqn.Pfqn_sdr.Coeff, double[]).
pfqn_sdrprob(Pfqn_sdr.Coeff, double[]) - Static method in class jline.api.pfqn.Pfqn_sdr: SDR routing probabilities of eq.
pfqn_sdrvisits(StateDepRouting, List<Matrix>) - Static method in class jline.api.pfqn.Pfqn_sdr: Coefficients xi of Section 3.2.
pfqn_sens(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens
pfqn_sens(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens: Exact derivatives of {X, Q, U, R} w.r.t.
Pfqn_sens - Class in jline.api.pfqn.sens
pfqn_sens_ldmx_ec(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_ldmx_ec: Computes the effective capacity terms EC, E and Eprime of the mixed load-dependent MVA of Bruell-Balbo-Afshari, exactly as Pfqn_ldmx_ec does, and additionally their exact analytic derivatives with respect to the open-class load Lo(i) of each station.
Pfqn_sens_ldmx_ec - Class in jline.api.pfqn.sens
pfqn_sens_linearizer(Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_linearizer
pfqn_sens_linearizer(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_linearizer: Uses the termination test of the reference and 200 CORE iterations.
pfqn_sens_linearizer(Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.sens.Pfqn_sens_linearizer: Approximate moments E[Q_i], Var[Q_i], Cov[Q_i,Q_j], E[Q_i^2] and E[Q_i^3] of the per-station total queue lengths of a closed product-form queueing network, by the LINEARIZER-2 / LINEARIZER-3 algorithms of the reference (Section 5).
Pfqn_sens_linearizer - Class in jline.api.pfqn.sens
pfqn_sens_mom(Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_mom
pfqn_sens_mom(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_mom
pfqn_sens_mom(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_mom: The per-station totals, i.e.
pfqn_sens_mom(Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_mom: Exact moments E[Q_i], E[Q_i^2], E[Q_i^3] and the covariances Cov[Q_i,Q_j] of the TOTAL queue lengths Q_i = sum_r n(i,r) of a closed product-form (BCMP) queueing network.
Pfqn_sens_mom - Class in jline.api.pfqn.sens
pfqn_sens_mva(Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_mva
pfqn_sens_mva(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_mva
pfqn_sens_mva(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_mva: Exact second moments (variances and per-station covariances) of the queue lengths of a closed product-form (BCMP) queueing network.
Pfqn_sens_mva - Class in jline.api.pfqn.sens
pfqn_sens_mvaldmx(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_mvaldmx
pfqn_sens_mvaldmx(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_mvaldmx: Exact second moments (variances and covariances) of the queue lengths of a mixed open/closed product-form queueing network with limited load-dependent service rates.
Pfqn_sens_mvaldmx - Class in jline.api.pfqn.sens
pfqn_sens_respt(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_respt
pfqn_sens_respt(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_respt
pfqn_sens_respt(Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.sens.Pfqn_sens_respt
pfqn_sens_respt(Matrix, Matrix, Matrix, Matrix, Matrix, int) - Static method in class jline.api.pfqn.sens.Pfqn_sens_respt: Exact raw moments E[W_(i,l)^t], t = 1..tmax, of the sojourn time of a class-l job at an FCFS b-server center i of a closed product-form queueing network, together with the variance of that sojourn time.
Pfqn_sens_respt - Class in jline.api.pfqn.sens
pfqn_sib(Matrix, double, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_sib: Level-`level` successively-improving throughput/cycle-time bounds.
Pfqn_sib - Class in jline.api.pfqn.mva
pfqn_sqni(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_sqni
Pfqn_sqni - Class in jline.api.pfqn.mva
Pfqn_sqni.PfqnSqniResult - Class in jline.api.pfqn.mva: Result of pfqn_sqni containing Q, U and X matrices.
pfqn_ssd(Matrix, double, double, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_ssd: SSD multiserver throughput bounds.
Pfqn_ssd - Class in jline.api.pfqn.mva
pfqn_stdf(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_stdf: Sojourn time distribution function at multiserver FCFS nodes (McKenna 1987 JACM).
Pfqn_stdf - Class in jline.api.pfqn.nc
pfqn_stdf_heur(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_stdf_heur: Heuristic sojourn time distribution analysis at multiserver FCFS nodes.
Pfqn_stdf_heur - Class in jline.api.pfqn.nc
pfqn_tay(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_tay: Convenience overload with the default tolerance and iteration budget.
pfqn_tay(Matrix, Matrix, Matrix, double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_tay: Tay's arrival-instant AMVA.
Pfqn_tay - Class in jline.api.pfqn.mva
Pfqn_tay.Result - Class in jline.api.pfqn.mva: Mean performance measures plus the arrival-instant queue lengths.
pfqn_unique(Matrix) - Static method in class jline.api.pfqn.Pfqn_replicas
pfqn_unique(Matrix, Matrix) - Static method in class jline.api.pfqn.Pfqn_replicas
pfqn_unique(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.Pfqn_replicas: Consolidate replicated stations into unique stations with multiplicity.
pfqn_usumbound(int, int, int) - Static method in class jline.api.pfqn.mva.Pfqn_scb: Largest value the sum of device utilizations sum_k U_k,R can take in any closed product-form network with R classes, K devices and N customers (their Theorem 6): sum_k U_k,R <= (H-1) + (K-H+1)(N-H+1)/(K+N-2H+1), H = min(R,K).
pfqn_xia(Matrix, int, Matrix, SolverOptions) - Static method in class jline.api.pfqn.ld.Pfqn_xia
Pfqn_xia - Class in jline.api.pfqn.ld
pfqn_xzabalow(Matrix, double, double) - Static method in class jline.api.pfqn.mva.Pfqn_xzabalow: Computes the lower ABA for the throughput of the given closed single-class queueing networks
Pfqn_xzabalow - Class in jline.api.pfqn.mva: Lower Asymptotic Bound Approximation (ABA) for throughput in single-class networks.
pfqn_xzabaup(Matrix, double, double) - Static method in class jline.api.pfqn.mva.Pfqn_xzabaup: Computes the upper ABA for the throughput of the given closed single-class queueing networks
Pfqn_xzabaup - Class in jline.api.pfqn.mva
pfqn_xzgsblow(Matrix, double, double) - Static method in class jline.api.pfqn.mva.Pfqn_xzgsblow: Computes the lower Geometric Square-Root Bound (GSB) for the throughput of the given closed single-class queueing networks.
Pfqn_xzgsblow - Class in jline.api.pfqn.mva
pfqn_xzgsbup(Matrix, double, double) - Static method in class jline.api.pfqn.mva.Pfqn_xzgsbup: Computes the upper Geometric Square-Root Bound (GSB) for the throughput of the given closed single-class queueing networks.
Pfqn_xzgsbup - Class in jline.api.pfqn.mva
pfqnAB(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, String, int, double) - Constructor for class jline.io.Ret.pfqnAB
PfqnAbAlgo() - Constructor for class jline.api.pfqn.ld.Pfqn_ab.PfqnAbAlgo
pfqnAMVA(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, int) - Constructor for class jline.io.Ret.pfqnAMVA
pfqnAMVAMS(Matrix, Matrix, Matrix, Matrix, Matrix, int) - Constructor for class jline.io.Ret.pfqnAMVAMS
pfqnAMVASchmidt(Matrix, Matrix, Matrix, Matrix, List<Map<Object, Double>>) - Constructor for class jline.io.Ret.pfqnAMVASchmidt
pfqnBkLc(Matrix, Matrix, Matrix, int) - Constructor for class jline.io.Ret.pfqnBkLc
PfqnCftpReturn(Matrix, Matrix, Matrix) - Constructor for class jline.api.pfqn.Pfqn_cftp.PfqnCftpReturn
pfqnComomrm(double, Matrix) - Constructor for class jline.io.Ret.pfqnComomrm
pfqnComomrmLd(double, double, Matrix) - Constructor for class jline.io.Ret.pfqnComomrmLd
pfqnComomrmMs(double, double, Matrix) - Constructor for class jline.io.Ret.pfqnComomrmMs
pfqnCUB(Matrix, double, Matrix) - Constructor for class jline.io.Ret.pfqnCUB
PfqnCycletResult - Class in jline.api.pfqn.nc: Density, distribution and moments of a passage time along an overtake-free path.
PfqnCycletResult(double[], double[], double[], List<String>, double) - Constructor for class jline.api.pfqn.nc.PfqnCycletResult
pfqnDAC(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnDAC
pfqnEstimate(MatrixCell, MatrixCell, Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnEstimate
pfqnFnc(Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnFnc
pfqnGldIndex(int, int, int) - Constructor for class jline.io.Ret.pfqnGldIndex
pfqnHarelBounds(double, double[], double[], int, int, int) - Constructor for class jline.io.Ret.pfqnHarelBounds
pfqnLDMXEC(Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnLDMXEC
pfqnLeFpi(Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnLeFpi
pfqnLeFpiZ(Matrix, double, Matrix) - Constructor for class jline.io.Ret.pfqnLeFpiZ
pfqnLinearizerEstimate(Matrix[], Matrix) - Constructor for class jline.io.Ret.pfqnLinearizerEstimate
pfqnLinearizerMSEstimate(Matrix[], Matrix[], Matrix) - Constructor for class jline.io.Ret.pfqnLinearizerMSEstimate
pfqnManjunath(Double, Double, long) - Constructor for class jline.io.Ret.pfqnManjunath
pfqnMcmc(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, int, long, long) - Constructor for class jline.io.Ret.pfqnMcmc
PfqnMomAlgo - Class in jline.api.pfqn.nc: PFQN mom algorithms (documentation marker).
PfqnMomAlgo() - Constructor for class jline.api.pfqn.nc.PfqnMomAlgo
pfqnMVA(Matrix, Matrix, Matrix, Matrix, double) - Constructor for class jline.io.Ret.pfqnMVA
pfqnMVAC(Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnMVAC
pfqnMVACLD(Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnMVACLD
pfqnMVALD(Matrix, Matrix, Matrix, Matrix, List<Double>, boolean, Matrix) - Constructor for class jline.io.Ret.pfqnMVALD
pfqnMVALDMX(Matrix, Matrix, Matrix, Matrix, double, Matrix) - Constructor for class jline.io.Ret.pfqnMVALDMX
pfqnNc(Double, Double) - Constructor for class jline.io.Ret.pfqnNc
pfqnNc(Double, Double, String) - Constructor for class jline.io.Ret.pfqnNc
PfqnNcAlgo - Class in jline.api.pfqn.nc: PFQN nc algorithms (documentation marker).
PfqnNcAlgo() - Constructor for class jline.api.pfqn.nc.PfqnNcAlgo
pfqnNcComplex(Complex, Complex) - Constructor for class jline.io.Ret.pfqnNcComplex
pfqnNcldmx(Double, Double, Double, String) - Constructor for class jline.io.Ret.pfqnNcldmx
pfqnNcldmx(Double, Double, Double, String, Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnNcldmx
pfqnNcSanitize(Matrix, Matrix, Matrix, Matrix, double) - Constructor for class jline.io.Ret.pfqnNcSanitize
pfqnNcSym(SymExpr) - Constructor for class jline.io.Ret.pfqnNcSym
pfqnNcXQ(Double, Double, Matrix, Matrix, String) - Constructor for class jline.io.Ret.pfqnNcXQ
pfqnNcXQ(Double, Matrix, Matrix, String) - Constructor for class jline.io.Ret.pfqnNcXQ
pfqnOifnc(ToDoubleFunction<int[]>, Matrix, Matrix, int[]) - Constructor for class jline.io.Ret.pfqnOifnc
pfqnOiNc(double, double) - Constructor for class jline.io.Ret.pfqnOiNc
pfqnOiNc(double, double, double[]) - Constructor for class jline.io.Ret.pfqnOiNc
pfqnProcomom(Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnProcomom
pfqnProcomom2(Matrix, double, double, List<Matrix>, Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnProcomom2
PfqnProcoMomAlgo - Class in jline.api.pfqn.nc: PFQN procomom algorithms (documentation marker).
PfqnProcoMomAlgo() - Constructor for class jline.api.pfqn.nc.PfqnProcoMomAlgo
pfqnQlenMoments(double[], double[], double[], double[], double[], double[], int[], Matrix, Matrix, String, int, int, int) - Constructor for class jline.io.Ret.pfqnQlenMoments
pfqnRd(Double) - Constructor for class jline.io.Ret.pfqnRd
pfqnRd(Double, Double) - Constructor for class jline.io.Ret.pfqnRd
PfqnResptPsResult - Class in jline.api.pfqn: Sojourn-time moments at the processor-sharing station of the closed terminal-driven system of Mitra and Morrison (1983).
PfqnResptPsResult(double[], double[], String[], double[], double[], double[], double[], double) - Constructor for class jline.api.pfqn.PfqnResptPsResult
pfqnSchmidt(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, List<Matrix>, String, int, double) - Constructor for class jline.io.Ret.pfqnSchmidt
pfqnSens(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix[], Matrix[], Matrix[], int[], int[], int[]) - Constructor for class jline.io.Ret.pfqnSens
pfqnSensLdmxEc(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnSensLdmxEc
pfqnSensLinearizer(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, double, int) - Constructor for class jline.io.Ret.pfqnSensLinearizer
pfqnSensMom(Matrix, Matrix, Matrix, Matrix, int, Matrix, Matrix, Matrix[][], Matrix, Matrix, Matrix, Matrix[][], Matrix, Matrix, Matrix, double) - Constructor for class jline.io.Ret.pfqnSensMom
pfqnSensMva(Matrix, Matrix, Matrix, Matrix, Matrix[], Matrix, Matrix, double) - Constructor for class jline.io.Ret.pfqnSensMva
pfqnSensMvaldmx(Matrix, Matrix, Matrix, Matrix, Matrix[], Matrix[][], Matrix, Matrix, double) - Constructor for class jline.io.Ret.pfqnSensMvaldmx
pfqnSensRespt(Matrix, Matrix, Matrix, Matrix, Matrix[], Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnSensRespt
PfqnSqniResult(Matrix, Matrix, Matrix) - Constructor for class jline.api.pfqn.mva.Pfqn_sqni.PfqnSqniResult
PfqnUniqueResult - Class in jline.api.pfqn: Result class for pfqn_unique containing all output matrices and mapping information.
PfqnUniqueResult(Matrix, Matrix, Matrix, Matrix, int[]) - Constructor for class jline.api.pfqn.PfqnUniqueResult
Pgeq - Variable in class jline.api.pfqn.sens.Pfqn_hst.Result: P(n_i >= k), k = 0..N.
pgf(double, double) - Method in class jline.api.dqsys.GeoXGeo1Result: Probability generating function of the stationary queue length at the observation epoch, evaluated by the caller-supplied batch pgf.
PH - Class in jline.lang.processes: A general phase-type (PH) distribution
PH - Enum constant in enum jline.lang.constant.ProcessType
PH(Matrix, Matrix) - Constructor for class jline.lang.processes.PH
ph_multisets(int, int) - Static method in class jline.api.mam.LdqbdMphc: Configurations of k identical servers over p service phases.
ph_reindex(NetworkStruct) - Static method in class jline.api.mam.Ph_reindex: Reindexes phase-type (PH) distributions for a network model based on station and job class indices.
Ph_reindex - Class in jline.api.mam
ph2From3Moments(double[]) - Static method in class jline.lib.butools.ph.PH2From3Moments
ph2From3Moments(double[], double) - Static method in class jline.lib.butools.ph.PH2From3Moments: Returns a PH(2) which has the same 3 moments as given.
PH2From3Moments - Class in jline.lib.butools.ph
PH2From3Moments.PH2Representation - Class in jline.lib.butools.ph: Result class for PH2From3Moments.
ph2hyper(MatrixCell) - Static method in class jline.lib.kpctoolbox.aph.APH
PH2Representation(Matrix, Matrix) - Constructor for class jline.lib.butools.ph.PH2From3Moments.PH2Representation
ph3From5Moments(double[]) - Static method in class jline.lib.butools.ph.PH3From5Moments
ph3From5Moments(double[], double) - Static method in class jline.lib.butools.ph.PH3From5Moments: Returns a PH(3) which has the same 5 moments as given.
PH3From5Moments - Class in jline.lib.butools.ph
PH3Representation - Class in jline.lib.butools.ph: Result class for PH3From5Moments.
PH3Representation(Matrix, Matrix) - Constructor for class jline.lib.butools.ph.PH3Representation
phAlpha - Variable in class jline.api.qsys.QsysServiceLaw: PH initial probability row, 1 x p.
phase - Variable in class jline.lang.layered.Activity
PHASE - Enum constant in enum jline.lang.constant.EventType
PHASE_TYPE - Enum constant in enum jline.api.qsys.QsysServiceLaw.Kind: Phase type (alpha, T).
phase2 - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
phaseGenerator() - Method in class jline.api.sn.SnMapModulation.MapModulation
phaseof - Variable in class jline.api.spn.Spn_mdd.SpnInfo: 1-based phase level of each mode, 0 when the mode has one phase.
phases - Variable in class jline.lang.NetworkStruct
phases() - Method in class jline.api.mdd.MddServiceLaw: Number of phases.
phaseshift - Variable in class jline.lang.NetworkStruct
phasessz - Variable in class jline.lang.NetworkStruct
phaseType(Matrix, Matrix) - Static method in class jline.api.qsys.QsysServiceLaw: Phase type with initial row ALPHA and subgenerator T.
PhaseTypeParameters(int) - Constructor for class jline.lib.m3a.M3A.PhaseTypeParameters
phComposeEntryLaws() - Method in class jline.solvers.ln.SolverLN: Recompose the entry service laws from the current fixed-point iterate.
phfit - Variable in class jline.solvers.SolverOptions.Config: Family used when a concrete distribution is replaced by a Markovian surrogate: "cme" fits a concentrated matrix exponential plus an exponential tail, "ph" keeps the Erlang/Bernstein phase-type.
PHFitResult(Matrix, Matrix, double) - Constructor for class jline.lib.butools.fitting.PHFromTrace.PHFitResult
phFromME(Matrix, Matrix) - Static method in class jline.lib.butools.ph.PHFromME
phFromME(Matrix, Matrix, double) - Static method in class jline.lib.butools.ph.PHFromME: Obtains a Markovian representation of a matrix exponential distribution of the same size, if possible, using elementary similarity transformations.
PHFromME - Class in jline.lib.butools.ph
phFromTrace(double[], int) - Static method in class jline.lib.butools.fitting.PHFromTrace
phFromTrace(double[], int[]) - Static method in class jline.lib.butools.fitting.PHFromTrace
phFromTrace(double[], int[], int) - Static method in class jline.lib.butools.fitting.PHFromTrace
phFromTrace(double[], int[], int, double) - Static method in class jline.lib.butools.fitting.PHFromTrace
phFromTrace(double[], int[], int, double, PHRepresentation) - Static method in class jline.lib.butools.fitting.PHFromTrace
phFromTrace(double[], int[], int, double, PHRepresentation, String) - Static method in class jline.lib.butools.fitting.PHFromTrace
phFromTrace(double[], int, int) - Static method in class jline.lib.butools.fitting.PHFromTrace
phFromTrace(double[], int, int, double) - Static method in class jline.lib.butools.fitting.PHFromTrace
PHFromTrace - Class in jline.lib.butools.fitting
PHFromTrace.PHFitResult - Class in jline.lib.butools.fitting
phi - Variable in class jline.api.cache.Cache_spm_size.Result: The exponent Psi - m.log xi - k.log zeta.
phi - Variable in class jline.api.retrieval.Retrieval_fpi_latency.Result
phi - Variable in class jline.lang.NetworkStruct
phi - Variable in class jline.lib.lti.iltcme.CmeEntry
phi - Variable in class jline.solvers.mam.handlers.Mam_bgchain_env.Env: Stationary probability of each environment state.
phi() - Method in class jline.lang.processes.Coxian: Property alias for getPhi
phi() - Method in class jline.lang.processes.Det: Property alias for getPhi
phi() - Method in class jline.lang.processes.Markovian: Property alias for getPhi
Phi - Variable in class jline.api.pfqn.ld.Pfqn_oi_insvc.Result: Phi[i], the OI balance function.
phi0 - Variable in class jline.api.cache.CacheSojourn.Clock
Phist - Variable in class jline.api.infer.InferLqnResult
phit - Variable in class jline.api.retrieval.Retrieval_fpi.Result
phit - Variable in class jline.api.retrieval.Retrieval_metrics.Result
phit - Variable in class jline.api.retrieval.Retrieval_mva.Result: h x n, hit ratios pi_ij.
PHLayer() - Constructor for class jline.solvers.ln.SolverLN.PHLayer
PhM1Result - Class in jline.api.qsys: Result of PH/M/1 queue analysis.
PhM1Result(double, double, double, double, double, double) - Constructor for class jline.api.qsys.PhM1Result
PhMcResult - Class in jline.api.qsys: Result of PH/M/c queue analysis.
PhMcResult(double, double, double, double, double) - Constructor for class jline.api.qsys.PhMcResult
phmemory - Variable in class jline.api.spn.Spn_mdd.SpnOptions: "exact" (default) or "resume".
PHPH1Options - Class in jline.lib.qmam: Options for PH/PH/1 queue analysis.
PHPH1Options() - Constructor for class jline.lib.qmam.PHPH1Options
PHPH1Options(int, int) - Constructor for class jline.lib.qmam.PHPH1Options
PHPH1Result - Class in jline.lib.qmam: Result of PH/PH/1 queue analysis.
PHPH1Result(Matrix, Matrix, Matrix) - Constructor for class jline.lib.qmam.PHPH1Result
PHRepresentation - Class in jline.lib.butools.ph: Result class for PH representations containing alpha (initial vector) and A (generator matrix).
PHRepresentation(Matrix, Matrix) - Constructor for class jline.lib.butools.ph.PHRepresentation
PHs - Variable in class jline.io.Ret.mamMMAPMixtureFit
phT - Variable in class jline.api.qsys.QsysServiceLaw: PH subgenerator, p x p.
PHt - Class in jline.lang.processes: Time-inhomogeneous phase-type distribution (Ph_t).
PHt(double[], List<Matrix>, List<Matrix>) - Constructor for class jline.lang.processes.PHt: Creates a cyclic Ph_t.
PHt(double[], List<Matrix>, List<Matrix>, boolean) - Constructor for class jline.lang.processes.PHt: Creates a Ph_t with a piecewise-constant schedule.
PHT - Enum constant in enum jline.lang.constant.ProcessType
PHt.RateSchedule - Class in jline.lang.processes: Capability type exposed so that model compilation can recognise a schedule-bearing process by capability rather than by class name.
pi - Variable in class jline.api.mapqn.Mapqn_amva.Result
pi - Variable in class jline.api.mc.Ctmc_solve_reducible.CtmcSolveReducibleResult
pi - Variable in class jline.api.mc.Ctmc_transient_sens.Result: length(t) x n, the distribution.
pi - Variable in class jline.api.mc.Dtmc_solve_reducible.DtmcSolveReducibleResult
pi - Variable in class jline.api.mc.Dtmc_uniformization.DtmcUniformizationResult
pi - Variable in class jline.api.mdd.MddClosedQnResult: Stationary distribution over the reachable states, MDD index order.
pi - Variable in class jline.api.qsys.QsysRetrialResult
pi - Variable in class jline.api.sym.SymEngine.CTMCMeasures: Stationary probability of each state
pi - Variable in class jline.api.sym.SymEngine.CTMCSolution: Stationary probability of each state, as an expression string
pi - Variable in class jline.api.sym.SymEngine.Sensitivity: Stationary distribution
pi - Variable in class jline.io.Ret.cacheMVA
pi - Variable in class jline.io.Ret.pfqnDAC
pi - Variable in class jline.io.Ret.pfqnMVALD
pi - Variable in class jline.lib.smc.MG1_ETAQA.ETAQAResult
pi - Variable in class jline.solvers.ag.handlers.INAPResult
pi - Variable in class jline.solvers.ctmc.CTMCResult: Stationary distribution over the state space the analyzer solved on, and the generator and state spaces it is indexed by.
pi - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult: Stationary distribution the analyzer solved for, and the generator and state spaces it is indexed by.
pi - Variable in class jline.solvers.ctmc.SolverCTMC.sensitivityResult: Stationary distribution, 1 by n
pi - Variable in class jline.solvers.mam.handlers.BMAPMAP1Result: Aggregated stationary probabilities [pi0, pi1, piStar]
pi - Variable in class jline.solvers.mam.handlers.Mam_bgchain_ctmc.Result: Stationary distribution, one row.
pi - Variable in class jline.solvers.mam.handlers.MAPBMAP1Result
pi - Variable in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer.CftpResult: Empirical probability of each row of spaceAggr.
pi - Variable in class jline.solvers.nc.NCResult
pi - Variable in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.SolverSSAResultNRMSpace
pi - Variable in class jline.solvers.ssa.SSAValues
pi_t - Variable in class jline.solvers.SolverResult: Transient probability distributions over time
Pi_t - Variable in class jline.solvers.wrappers.jmt.JMTResult.TransientProbabilityResult
pi0 - Variable in class jline.api.cache.CacheMissFpiResult
pi0 - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
pi0 - Variable in class jline.api.mc.Ctmc_solve_reducible.CtmcSolveReducibleResult
pi0 - Variable in class jline.api.mc.Dtmc_solve_reducible.DtmcSolveReducibleResult
pi0 - Variable in class jline.api.qsys.QsysBmapM1Result: Probability the system is empty (equals 1-rho exactly).
pi0 - Variable in class jline.api.retrieval.Retrieval_fpi_latency.Result
pi0 - Variable in class jline.io.Ret.cacheMVA
pi0 - Variable in class jline.io.Ret.cacheXiFp
pi0 - Variable in class jline.lib.fjcodes.PiResult
pi0 - Variable in class jline.solvers.ag.handlers.QbdTail
pi0_t - Variable in class jline.api.cache.CacheMissRmfTranResult: Per-item list-0 occupancy (miss probability) trajectory (n x nt).
pi1 - Variable in class jline.solvers.ag.handlers.QbdTail
pidx - Variable in class jline.solvers.fluid.petri.PetriTerms: (node, class) -> state coordinate, -1 where the pair carries none.
pie - Variable in class jline.api.mdd.MddServiceLaw: Optional entry law; null to derive it from D1.
pie - Variable in class jline.api.spn.Spn_mdd.SpnMode
pie - Variable in class jline.lang.NetworkStruct
pie - Variable in class jline.solvers.fluid.petri.PetriMode: Entry distribution over the phases.
pij - Variable in class jline.api.cache.Cache_spm_size.Result: Occupancy pi, n x (h+1), column 0 the miss probability.
pij - Variable in class jline.io.Ret.cacheMVA
pij - Variable in class jline.io.Ret.cacheXiFp
pij - Variable in class jline.io.Ret.pfqnMVACLD
pij - Variable in class jline.solvers.nc.NCResult
pik - Variable in class jline.api.mdd.MddMcdResult: pik[k] is the level-k stationary vector over M_k, in paper orientation.
pil - Variable in class jline.api.mc.Dtmc_solve_reducible.DtmcSolveReducibleResult
PIN - Static variable in class jline.solvers.fluid.petri.PetriImmediate: Kinds of pinning equation.
pinned - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
pins - Variable in class jline.solvers.fluid.petri.PetriImmediate: The distinct bound coordinates, ascending.
pinv() - Method in class jline.util.matrix.Matrix: Computes the Moore-Penrose pseudo-inverse of the matrix using SVD.
Pinv - Variable in class jline.lib.rmf.CacheRMF.DimensionReduction
Pinv - Variable in class jline.lib.rmf.CacheRMF.ReducedSystem
PiResult - Class in jline.lib.fjcodes: Result of computePi.
PiResult(Matrix, double) - Constructor for class jline.lib.fjcodes.PiResult
pis - Variable in class jline.api.mc.Ctmc_solve_reducible.CtmcSolveReducibleResult
pis - Variable in class jline.api.mc.Dtmc_solve_reducible.DtmcSolveReducibleResult
pit - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: Defective distribution at time t, a componentwise lower bound on pi(t).
pit - Variable in class jline.solvers.ctmc.CTMCResult.TranProbAggrResult
pit - Variable in class jline.solvers.ctmc.CTMCResult.TranProbResult
pit - Variable in class jline.solvers.ctmc.CTMCResult.TranProbSysAggrResult
pit - Variable in class jline.solvers.ctmc.CTMCResult.TranProbSysResult
pit - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
pjoint - Variable in class jline.api.pfqn.Pfqn_jointmarg.Ret_jointmarg: Joint probability.
Pjoint - Variable in class jline.io.Ret.pfqnDAC
pk - Variable in class jline.api.fes.FesMapSolveResult: Distribution of the jobs held by the flow-equivalent server, index k = P(k jobs).
pk - Variable in class jline.io.Ret.pfqnProcomom2
pk - Variable in class jline.lang.state.Polling.Info: K parameter of KLIMITED polling.
pK - Variable in class jline.api.qsys.QsysMapG1kPerflowResult: 1 x N, P(buffer full) in the n-th model.
pK - Variable in class jline.api.qsys.QsysMapG1kResult: P(buffer full).
pK - Variable in class jline.api.qsys.QsysMmapG1kResult: P(buffer full).
pKvec - Variable in class jline.api.qsys.QsysMapG1kResult: 1 x M, P(level = K, phase j), summing to pK.
pKvec - Variable in class jline.api.qsys.QsysMmapG1kResult: 1 x M, P(buffer full, phase j).
Pl - Variable in class jline.api.mc.Dtmc_solve_reducible.DtmcSolveReducibleResult
Place - Class in jline.lang.nodes: A place within a stochastic Petri net / queueing Petri net model.
Place - Enum constant in enum jline.lang.constant.NodeType: Place node in Petri net models - holds tokens
Place(Network, String) - Constructor for class jline.lang.nodes.Place
Place(Network, String, SchedStrategy) - Constructor for class jline.lang.nodes.Place
placeable(int[], int[][]) - Static method in class jline.api.pfqn.nc.Pas_placement: Class j is placeable next iff it is present (x[j] > 0) and no still-present class i must precede it: sum_i x[i] * P[i][j] == 0.
placenames - Variable in class jline.api.spn.Spn_mdd.SpnInfo
placeNodes - Variable in class jline.api.sn.SnPnFiringRates.Ret: Node indices of the Places, in the order used by the arrays above.
places - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
places - Variable in class jline.api.spn.Spn_mdd.SpnInfo: Node indices of the places.
places - Variable in class jline.api.spn.Spn_sinvariants.SpnInvariants: Node indices of the places, in level order.
places - Variable in class jline.solvers.fluid.petri.PetriTerms
placeTput - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
placeTput - Variable in class jline.api.spn.Spn_metrics.SpnMetricsResult: Place throughput, tokens removed per unit time.
placeUtil - Variable in class jline.api.spn.Spn_metrics.SpnMetricsResult: Place utilization, P(m_j > 0).
PLAIN - Static variable in class jline.api.mc.Ctmc_saddlepoint: Bare first-order form with the amplitude set to 1.
planRunLength(SolverOptions, Matrix, Matrix, double) - Static method in class jline.solvers.ssa.SolverSSA: The run length the caller would need for the precision they asked for.
plevel - Variable in class jline.api.qsys.QsysMapG1kResult: 1 x (K+1), P(level = l), l = 0..K.
plevel - Variable in class jline.api.qsys.QsysMmapG1kResult: 1 x (K+1), P(level = l).
ploss - Variable in class jline.solvers.mam.handlers.Mam_bgchain_station.StationResult: Stationary probability of the truncation level.
plot() - Method in class jline.lang.layered.LayeredNetwork: Displays an interactive graph visualization of this layered network using JUNG.
plot() - Method in class jline.lang.Network: Displays an interactive visualization of this queueing network.
plot(String) - Method in class jline.lang.layered.LayeredNetwork: Displays an interactive graph visualization with custom title.
plot(String) - Method in class jline.lang.Network: Displays an interactive visualization of this queueing network.
plot(String, int, int) - Method in class jline.lang.layered.LayeredNetwork: Displays an interactive graph visualization with custom title and dimensions.
plot(String, int, int) - Method in class jline.lang.Network: Displays an interactive visualization of this queueing network.
plural(int, String, String) - Static method in class jline.io.LineConsole: Count with an agreeing noun, e.g.
pmf - Variable in class jline.api.dqsys.Bernoulli1Result: Time-stationary queue length law of theorem 2.3, pmf[n].
pmf(int) - Method in class jline.api.dqsys.GeoGeo1Result: Stationary probability of finding n jobs in the system at a slot boundary.
pmfFromDPH(double[], Matrix, int) - Static method in class jline.lib.butools.dph.PmfFromDPH: Overload for double[] alpha and single integer x.
pmfFromDPH(double[], Matrix, int[]) - Static method in class jline.lib.butools.dph.PmfFromDPH: Overload for double[] alpha.
pmfFromDPH(Matrix, Matrix, int) - Static method in class jline.lib.butools.dph.PmfFromDPH: Overload for single integer x.
pmfFromDPH(Matrix, Matrix, int[]) - Static method in class jline.lib.butools.dph.PmfFromDPH: Returns the probability mass function of a discrete phase-type distribution.
PmfFromDPH - Class in jline.lib.butools.dph
pmfFromMG(double[], Matrix, int) - Static method in class jline.lib.butools.dph.PmfFromMG
pmfFromMG(double[], Matrix, int[]) - Static method in class jline.lib.butools.dph.PmfFromMG
pmfFromMG(Matrix, Matrix, int) - Static method in class jline.lib.butools.dph.PmfFromMG
pmfFromMG(Matrix, Matrix, int[]) - Static method in class jline.lib.butools.dph.PmfFromMG: Returns the probability mass function of a matrix-geometric distribution.
PmfFromMG - Class in jline.lib.butools.dph
pmiss - Variable in class jline.api.retrieval.Retrieval_fpi.Result
pmiss - Variable in class jline.api.retrieval.Retrieval_metrics.Result
pmiss - Variable in class jline.api.retrieval.Retrieval_mva.Result: 1 x n, miss ratios pi_i0.
PN - Variable in class jline.io.Ret.pfqnSchmidt: State probabilities per station
PN - Variable in class jline.solvers.LayeredSolverResult: Mean processor utilization [processors x 1]
PNG - Enum constant in enum jline.io.LQN2UML.Format
Pnir - Variable in class jline.solvers.fluid.FluidResult: Aggregate state probability
PnmlIO - Class in jline.io: PNML (ISO/IEC 15909-2) place/transition nets, read and written.
PNR - Enum constant in enum jline.lang.constant.SchedStrategyType
PNRPrio - Enum constant in enum jline.lang.constant.SchedStrategyType
points - Variable in class jline.io.Ret.pfqnQlenMoments
Poisson - Class in jline.lang.processes: A Poisson discrete distribution
Poisson(double) - Constructor for class jline.lang.processes.Poisson
POISSON - Enum constant in enum jline.api.fj.FJ_charmax_ext.DiscreteDist
POISSON - Enum constant in enum jline.lang.constant.ProcessType
poisson_example() - Static method in class jline.lib.kpctoolbox.MAPCatalog: Poisson Example Source: poisson_example.m Category: Examples
policy - Variable in class jline.lang.state.CtmcPool: Pool-selection policy of the station.
policy - Variable in class jline.solvers.wrappers.jmt.handlers.SaveHandlers.ServerPools: Assignment policy across pools.
polled - Variable in class jline.lang.state.Polling.Info: Buffers the server visits (a class disabled at the station is dropped).
pollinfo - Variable in class jline.lang.nodeparam.QueueNodeParam: Memoized derived description of the polling controller (server position, switchover phase-type, visit budget) for a POLLING queue.
Polling - Class in jline.lang.state: State-space helpers for polling stations.
Polling() - Constructor for class jline.lang.state.Polling
POLLING - Enum constant in enum jline.lang.constant.SchedStrategy: Polling - server visits queues in cyclic order
polling_decrementing() - Static method in class jline.examples.java.advanced.CyclicPollingModel: Symmetric M/M/1 decrementing (semiexhaustive) polling system.
polling_exhaustive_det() - Static method in class jline.examples.java.advanced.CyclicPollingExamples: Demonstrates exhaustive polling with deterministic service times (polling_exhaustive_det.ipynb).
polling_exhaustive_det() - Static method in class jline.examples.java.advanced.CyclicPollingModel: M[2]/M[2]/1-Exhaustive polling system with deterministic arrivals and immediate switchover.
polling_exhaustive_exp() - Static method in class jline.examples.java.advanced.CyclicPollingExamples: Demonstrates exhaustive polling with exponential service times (polling_exhaustive_exp.ipynb).
polling_exhaustive_exp() - Static method in class jline.examples.java.advanced.CyclicPollingModel: M[2]/M[2]/1-Gated polling system example.
polling_gated() - Static method in class jline.examples.java.advanced.CyclicPollingExamples: Demonstrates gated polling service discipline (polling_gated.ipynb).
polling_gated() - Static method in class jline.examples.java.advanced.CyclicPollingModel: M[2]/M[2]/1-Gated polling system with switchover times.
polling_klimited() - Static method in class jline.examples.java.advanced.CyclicPollingExamples: Demonstrates k-limited polling service discipline (polling_klimited.ipynb).
polling_klimited() - Static method in class jline.examples.java.advanced.CyclicPollingModel: M[2]/M[2]/1-K-Limited polling system with mixed switchover.
polling_qsys_1limited(MatrixCell[], MatrixCell[], MatrixCell[]) - Static method in class jline.api.polling.Polling_qsys_1limited: Computes the exact mean waiting time solution for a polling system with open arrivals.
Polling_qsys_1limited - Class in jline.api.polling
polling_qsys_decrementing(MatrixCell[], MatrixCell[], MatrixCell[]) - Static method in class jline.api.polling.Polling_qsys_decrementing: Computes mean waiting times for a symmetric decrementing polling system.
Polling_qsys_decrementing - Class in jline.api.polling: Exact mean waiting-time analysis for a symmetric decrementing (semiexhaustive) polling system with Poisson arrivals and general service and switchover times.
polling_qsys_exhaustive(MatrixCell[], MatrixCell[], MatrixCell[]) - Static method in class jline.api.polling.Polling_qsys_exhaustive: Computes mean waiting times for an exhaustive polling system.
Polling_qsys_exhaustive - Class in jline.api.polling
polling_qsys_gated(MatrixCell[], MatrixCell[], MatrixCell[]) - Static method in class jline.api.polling.Polling_qsys_gated: Computes mean waiting times for a polling system with gated service discipline.
Polling_qsys_gated - Class in jline.api.polling
Polling.Info - Class in jline.lang.state: Derived description of the polling controller at a station.
Polling.Landing - Class in jline.lang.state: Result of a landing: the successor rows and the probability of each.
pollingPar - Variable in class jline.lang.nodeparam.QueueNodeParam: K parameter for K-LIMITED polling.
PollingServer - Class in jline.lang.sections: A service section that processes jobs using Polling scheduling
PollingServer(List<JobClass>) - Constructor for class jline.lang.sections.PollingServer: Creates a new polling server for the specified job classes.
pollingType - Variable in class jline.lang.nodeparam.QueueNodeParam: Polling type for queues with polling scheduling strategy.
PollingType - Enum in jline.lang.constant: Enumeration of polling service types for polling scheduling strategy.
poly(Matrix) - Static method in class jline.lib.butools.Poly
Poly - Class in jline.lib.butools
poolmin - Variable in class jline.api.lqn.LqnRefRoutes.Group: Min of lqn.maxmult over the DAG tasks.
pools - Variable in class jline.lang.layered.LayeredNetworkStruct: Compatibility pools declared on a layer server, by element index, absent where none.
pools - Variable in class jline.lang.state.CtmcPool: pools[r]: compatible pools of class r, ascending; empty when r is not served.
popQuiet() - Static method in class jline.io.LineConsole: End one LineConsole.pushQuiet() scope.
popsize - Variable in class jline.opt.solver.LineOptSolverOptions
popularity - Variable in class jline.lang.layered.ItemEntry
popularityGet(int) - Method in class jline.lang.nodes.Cache: Gets the popularity distribution for a linear index.
popularityGet(int, int) - Method in class jline.lang.nodes.Cache: Gets the popularity distribution for a specific item class and job class.
PopularityKey(int, int) - Constructor for class jline.lang.nodes.Cache.PopularityKey
popularityLength() - Method in class jline.lang.nodes.Cache: Gets the maximum dimension of the popularity matrix.
popularitySet(int, int, Distribution) - Method in class jline.lang.nodes.Cache: Sets the popularity distribution for a specific item class and job class.
popularitySet(int, Distribution) - Method in class jline.lang.nodes.Cache: Sets the popularity distribution for a linear index.
population - Variable in class jline.lang.ClosedClass
population - Variable in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer.DtModel: Total closed population (cycle).
PopulationLattice - Class in jline.util: Data structure modeling a lattice used to describe a combination of job populations.
PopulationLattice() - Constructor for class jline.util.PopulationLattice
PopulationLattice.sprodResult - Class in jline.util
populationSizing() - Static method in class jline.examples.opt.LineOptExamples: Largest population sustaining an interactive SLA (bisection max_feasible).
positionOf(String) - Method in class jline.util.symbolic.SymContext
post(int) - Method in class jline.solvers.EnsembleSolver
post(int) - Method in class jline.solvers.env.SolverENV
post(int) - Method in class jline.solvers.ln.SolverLN
post(int) - Method in class jline.solvers.uq.SolverUQ
POST - Enum constant in enum jline.lang.constant.EventType
POST_AND - Static variable in class jline.lang.constant.ActivityPrecedenceType
POST_CACHE - Static variable in class jline.lang.constant.ActivityPrecedenceType
POST_LOOP - Static variable in class jline.lang.constant.ActivityPrecedenceType
POST_OR - Static variable in class jline.lang.constant.ActivityPrecedenceType
POST_SEQ - Static variable in class jline.lang.constant.ActivityPrecedenceType
postActs - Variable in class jline.lang.layered.ActivityPrecedence
posteriorAlpha - Variable in class jline.inference.lang.EstimatorOptions: Posterior Gamma shapes left behind by the variational estimator.
posteriorBeta - Variable in class jline.inference.lang.EstimatorOptions: Posterior Gamma rates left behind by the variational estimator.
PosteriorTable(List<SolverUQ.PosteriorTableRow>) - Constructor for class jline.solvers.uq.SolverUQ.PosteriorTable
PosteriorTableRow(int, double, String, String, double, double, double, double, double) - Constructor for class jline.solvers.uq.SolverUQ.PosteriorTableRow
postParams - Variable in class jline.lang.layered.ActivityPrecedence
postType - Variable in class jline.lang.layered.ActivityPrecedence
pow(int) - Method in class jline.util.symbolic.SymExpr
pow(Matrix, int) - Static method in class jline.util.matrix.Matrix: Computes the matrix power A^b for a non-negative integer exponent b.
powerSumCols(int, double) - Method in class jline.util.matrix.Matrix: Computes the sum of powers of absolute values in a column: ∑ |A_{ji}|^alpha
powerSumRows(int, double) - Method in class jline.util.matrix.Matrix: Computes the sum of powers of absolute values in a row: ∑ |A_{ij}|^alpha
PPPRIO - Static variable in class jline.api.pfqn.Pfqn_mwrbb
pprod(Matrix) - Static method in class jline.util.PopulationLattice: Initializes a population product iterator.
pprod(Matrix, Matrix) - Static method in class jline.util.PopulationLattice: Advances to the next population state in lexicographic order.
pprodcon(Matrix, Matrix, Matrix) - Static method in class jline.util.PopulationLattice
pq - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
Pr - Variable in class jline.io.Ret.pfqnProcomom
Pr - Variable in class jline.solvers.nc.handlers.Solver_nc_jointmarg.Ret_jointmarg: Joint probability.
Pr - Variable in class jline.solvers.nc.SolverNC.SolverNCJointReturn
PR - Enum constant in enum jline.lang.constant.SchedStrategyType
pre(int) - Method in class jline.solvers.EnsembleSolver
pre(int) - Method in class jline.solvers.env.SolverENV
pre(int) - Method in class jline.solvers.ln.SolverLN
pre(int) - Method in class jline.solvers.uq.SolverUQ
PRE - Enum constant in enum jline.lang.constant.EventType
PRE_AND - Static variable in class jline.lang.constant.ActivityPrecedenceType
PRE_OR - Static variable in class jline.lang.constant.ActivityPrecedenceType
PRE_SEQ - Static variable in class jline.lang.constant.ActivityPrecedenceType
preActs - Variable in class jline.lang.layered.ActivityPrecedence
pread - Variable in class jline.lang.nodeparam.CacheNodeParam: Read access probabilities for each item by server [server -> list of probabilities by item]
PRECEDENCE - Enum constant in enum jline.io.ModelVisualizer.EdgeType
precedences - Variable in class jline.lang.layered.Task
precision - Static variable in class jline.lib.lti.abatewhitt
precision - Static variable in class jline.lib.lti.customromberg
PrecomputedCDFunction - Class in jline.util: A pre-computed class dependence function beta_i(n) that stores function values for all possible state combinations.
PrecomputedCDFunction(int) - Constructor for class jline.util.PrecomputedCDFunction: Creates a new pre-computed class dependence function with default value of 1.0, i.e.
PrecomputedCDFunction(int, double) - Constructor for class jline.util.PrecomputedCDFunction: Creates a new pre-computed class dependence function.
PrecomputedRateFunction - Class in jline.util: A pre-computed scalar rate function that stores function values for all possible state combinations.
PrecomputedRateFunction(int) - Constructor for class jline.util.PrecomputedRateFunction: Creates a new pre-computed rate function defaulting to a zero rate on states absent from the table.
PrecomputedRateFunction(int, double) - Constructor for class jline.util.PrecomputedRateFunction: Creates a new pre-computed rate function.
PrecomputedTableFunction - Class in jline.util: A pre-computed lookup table over per-class state vectors.
PrecomputedTableFunction(int, double) - Constructor for class jline.util.PrecomputedTableFunction: Creates a new pre-computed table.
pred - Variable in class jline.util.ode.Rodas.Options: Gustafsson's predictive step-size controller.
PREEMPT - Enum constant in enum jline.lang.constant.EventType: A job holding a server is pushed back into the buffer.
preemptFilt - Variable in class jline.solvers.ctmc.CTMCResult
preemptFilt - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult: The filtrations those rates reduce, indexed [station][class].
PreemptiveServer - Class in jline.lang.sections: A preemptive service section that can interrupt lower priority jobs to serve higher priority jobs.
PreemptiveServer(List<JobClass>) - Constructor for class jline.lang.sections.PreemptiveServer: Creates a new preemptive server section for the specified customer classes.
PreemptN - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult: Derived START/PREEMPT rates, (stations x classes): how often per unit time a class-r service starts at station i, and how often a class-r job in service is pushed back into the buffer there.
PreemptN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM: Derived PREEMPT rate [stations x classes].
preemptOf(int, int) - Method in class jline.io.Ret.EventResult: PREEMPT count of one successor row and class.
preemptRate - Variable in class jline.solvers.ctmc.CTMCResult
preemptRate - Variable in class jline.solvers.ssa.SSAResult: Derived PREEMPT rate [stations x classes]; zero at a non-preemptive station.
preemptRates - Variable in class jline.solvers.ssa.SSAValues: Derived PREEMPT rates, laid out like startRates.
prefixPos - Variable in class jline.api.lqn.LqnRefRoutes.Group: Positions in entries forming the prefix, topological order.
prefixTerm - Variable in class jline.api.lqn.LqnRefRoutes.Group: True where that prefix position is a first caller.
preParams - Variable in class jline.lang.layered.ActivityPrecedence
preprocessingDS(Matrix) - Static method in class jline.lib.perm.QueueingNetwork: Make a matrix doubly stochastic via the Sinkhorn algorithm.
preserveDet - Variable in class jline.solvers.SolverOptions.Config: Whether to preserve deterministic distributions during non-Markovian approximation (true keeps Det, false approximates with PH).
prettyPrint() - Method in class jline.solvers.ctmc.SolverCTMC.generatorResult
prettyPrint() - Method in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult: Print the symbolic generator, one row of expressions per state.
prettyPrint() - Method in class jline.util.matrix.Matrix: Pretty prints the matrix with automatic formatting and alignment.
prettyPrintInt() - Method in class jline.solvers.ctmc.SolverCTMC.generatorResult
prettyPrintInt() - Method in class jline.util.matrix.Matrix: Pretty prints the matrix assuming integer values.
preType - Variable in class jline.lang.layered.ActivityPrecedence
print() - Method in class jline.api.lqn.LqnBalanceEquations.Result
print() - Method in class jline.lang.layered.LayeredNetworkStruct
print() - Method in class jline.lang.NetworkStruct: Print comprehensive information about this NetworkStruct.
print() - Method in class jline.lang.RoutingMatrix
print() - Method in class jline.solvers.AvgTable: Prints the table contents in a human-readable format.
print() - Method in class jline.solvers.ctmc.SolverCTMC.generatorResult
print() - Method in class jline.solvers.ctmc.SolverCTMC.StateSpace
print() - Method in class jline.solvers.LayeredNetworkAvgTable
print() - Method in class jline.solvers.LayeredNetworkSensitivityTable
print() - Method in class jline.solvers.NetworkAvgCacheTable
print() - Method in class jline.solvers.NetworkAvgChainTable
print() - Method in class jline.solvers.NetworkAvgItemTable
print() - Method in class jline.solvers.NetworkAvgNodeChainTable
print() - Method in class jline.solvers.NetworkAvgNodeTable
print() - Method in class jline.solvers.NetworkAvgOrbitTable
print() - Method in class jline.solvers.NetworkAvgSysTable
print() - Method in class jline.solvers.NetworkAvgTable
print() - Method in class jline.solvers.NetworkBoundsTable: Prints the table using the options attached to it.
print() - Method in class jline.solvers.NetworkLossTable
print() - Method in class jline.solvers.NetworkMomentChainTable
print() - Method in class jline.solvers.NetworkMomentStationTable
print() - Method in class jline.solvers.NetworkMomentTable
print() - Method in class jline.solvers.NetworkPercTable: Prints the table using the options attached to it.
print() - Method in class jline.solvers.NetworkSensitivityTable
print() - Method in class jline.solvers.NetworkSolver: Detailed print function that displays all contents of the NetworkSolver.
print() - Method in class jline.solvers.uq.SolverUQ.EmpiricalCDF
print() - Method in class jline.solvers.uq.SolverUQ.PosteriorTable
print() - Method in class jline.util.matrix.Matrix: Prints the matrix with appropriate formatting, either as floats or integers.
print() - Method in class jline.util.matrix.MatrixCell: Prints all matrices in the collection to the standard output.
print(boolean) - Method in class jline.solvers.LayeredNetworkAvgTable
print(SolverOptions) - Method in class jline.solvers.LayeredNetworkAvgTable
print(SolverOptions) - Method in class jline.solvers.LayeredNetworkSensitivityTable: Prints the table.
print(SolverOptions) - Method in class jline.solvers.NetworkAvgCacheTable
print(SolverOptions) - Method in class jline.solvers.NetworkAvgChainTable
print(SolverOptions) - Method in class jline.solvers.NetworkAvgItemTable
print(SolverOptions) - Method in class jline.solvers.NetworkAvgNodeChainTable
print(SolverOptions) - Method in class jline.solvers.NetworkAvgNodeTable
print(SolverOptions) - Method in class jline.solvers.NetworkAvgOrbitTable
print(SolverOptions) - Method in class jline.solvers.NetworkAvgSysTable
print(SolverOptions) - Method in class jline.solvers.NetworkAvgTable
print(SolverOptions) - Method in class jline.solvers.NetworkBoundsTable: Prints the table.
print(SolverOptions) - Method in class jline.solvers.NetworkLossTable
print(SolverOptions) - Method in class jline.solvers.NetworkMomentChainTable: Prints the table.
print(SolverOptions) - Method in class jline.solvers.NetworkMomentStationTable: Prints the table.
print(SolverOptions) - Method in class jline.solvers.NetworkMomentTable: Prints the table.
print(SolverOptions) - Method in class jline.solvers.NetworkPercTable: Prints the table.
print(SolverOptions) - Method in class jline.solvers.NetworkSensitivityTable: Prints the table.
print(SolverOptions, boolean) - Method in class jline.solvers.LayeredNetworkAvgTable
print(SolverOptions, boolean) - Method in class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
Print - Class in jline.examples.parity: The printing contract a parity twin keeps, the Java counterpart of cpp/examples/examples_common.h.
print_progress(SolverOptions, int) - Static method in class jline.solvers.ssa.handlers.Solver_ssa
printAndClearGlobalResults() - Static method in class jline.bench.cqn.CQNResultsFormatter: Print all accumulated results and clear the accumulator
printAndClearGlobalResults() - Static method in class jline.bench.mqn.MQNResultsFormatter
printAndClearGlobalResults() - Static method in class jline.bench.oqn.OQNResultsFormatter
printAvgTable() - Method in class jline.solvers.env.SolverENV
printAvgTable(boolean) - Method in class jline.solvers.env.SolverENV: Prints the average metrics table for all stations and job classes.
printEnsembleAvgTables() - Method in class jline.solvers.EnsembleSolver
printEnsembleAvgTs() - Method in class jline.solvers.EnsembleSolver
printEventFilt(SolverCTMC.generatorResult, SolverCTMC.StateSpace) - Static method in class jline.solvers.ctmc.SolverCTMC
printEventFilt(MatrixCell, Matrix) - Static method in class jline.solvers.ctmc.SolverCTMC
printFormattedTable(String[], List<String[]>) - Static method in class jline.solvers.AvgTable: Prints a header row followed by data rows, sizing every column to its widest cell with a two-space gap and no trailing padding, as in the MATLAB and Python table displays.
printImmediateResult(String, Map<String, Object>) - Static method in class jline.bench.cqn.CQNResultsFormatter: Print results immediately without accumulation
printImmediateResult(String, Map<String, Object>) - Static method in class jline.bench.mqn.MQNResultsFormatter
printImmediateResult(String, Map<String, Object>) - Static method in class jline.bench.oqn.OQNResultsFormatter
printInfGen(SolverCTMC.generatorResult, SolverCTMC.StateSpace) - Static method in class jline.solvers.ctmc.SolverCTMC
printInfGen(Matrix, Matrix) - Static method in class jline.solvers.ctmc.SolverCTMC
printNonZero() - Method in class jline.util.matrix.Matrix: Prints only non-zero values and their positions in the matrix.
printResults() - Method in class jline.bench.cqn.CQNResultsFormatter.CQNResultsAccumulator
printResults() - Method in class jline.bench.mqn.MQNResultsFormatter.MQNResultsAccumulator
printResults() - Method in class jline.bench.oqn.OQNResultsFormatter.OQNResultsAccumulator
printRoutingMatrix() - Method in class jline.lang.Network
printStageTable() - Method in class jline.lang.Environment: Prints a formatted table showing all stages, their properties, and transitions.
printSummary() - Method in class jline.lang.ClosedClass: Prints a summary of this closed class configuration.
printSummary() - Method in class jline.lang.ClosedSignal: Prints a summary of this closed signal class configuration.
printSummary() - Method in class jline.lang.JobClass: Prints a summary of this job class configuration to the console.
printSummary() - Method in class jline.lang.Mode
printSummary() - Method in class jline.lang.nodes.Node: Prints a summary of this node's configuration to the console.
printSummary() - Method in class jline.lang.nodes.Queue: Prints a summary of this queue's configuration to standard output.
printSummary() - Method in class jline.lang.nodes.Sink
printSummary() - Method in class jline.lang.nodes.Source
printSummary() - Method in class jline.lang.OpenClass: Prints a summary of this open class configuration.
printSummary() - Method in class jline.lang.OpenSignal: Prints a summary of this open signal class configuration.
printSummary() - Method in class jline.lang.sections.OutputSection
printSummary() - Method in class jline.lang.Signal: Prints a summary of this signal class configuration.
printTable() - Method in class jline.solvers.LayeredNetworkAvgTable
printTable() - Method in class jline.solvers.LayeredNetworkSensitivityTable: Prints the table.
printTable() - Method in class jline.solvers.NetworkAvgCacheTable
printTable() - Method in class jline.solvers.NetworkAvgChainTable
printTable() - Method in class jline.solvers.NetworkAvgItemTable
printTable() - Method in class jline.solvers.NetworkAvgNodeChainTable
printTable() - Method in class jline.solvers.NetworkAvgNodeTable
printTable() - Method in class jline.solvers.NetworkAvgOrbitTable
printTable() - Method in class jline.solvers.NetworkAvgSysTable
printTable() - Method in class jline.solvers.NetworkAvgTable
printTable() - Method in class jline.solvers.NetworkBoundsTable: Prints the table using the options attached to it.
printTable() - Method in class jline.solvers.NetworkLossTable
printTable() - Method in class jline.solvers.NetworkMomentChainTable: Prints the table.
printTable() - Method in class jline.solvers.NetworkMomentStationTable: Prints the table.
printTable() - Method in class jline.solvers.NetworkMomentTable: Prints the table.
printTable() - Method in class jline.solvers.NetworkPercTable: Prints the table using the options attached to it.
printTable() - Method in class jline.solvers.NetworkSensitivityTable: Prints the table.
printTable(SolverOptions) - Method in class jline.solvers.LayeredNetworkAvgTable
printTable(SolverOptions) - Method in class jline.solvers.NetworkAvgCacheTable
printTable(SolverOptions) - Method in class jline.solvers.NetworkAvgChainTable
printTable(SolverOptions) - Method in class jline.solvers.NetworkAvgItemTable
printTable(SolverOptions) - Method in class jline.solvers.NetworkAvgNodeChainTable
printTable(SolverOptions) - Method in class jline.solvers.NetworkAvgNodeTable
printTable(SolverOptions) - Method in class jline.solvers.NetworkAvgOrbitTable
printTable(SolverOptions) - Method in class jline.solvers.NetworkAvgSysTable
printTable(SolverOptions) - Method in class jline.solvers.NetworkAvgTable
printTable(SolverOptions) - Method in class jline.solvers.NetworkBoundsTable: Prints the table.
printTable(SolverOptions) - Method in class jline.solvers.NetworkLossTable
printTable(SolverOptions) - Method in class jline.solvers.NetworkPercTable: Prints the table.
prio - Variable in class jline.api.pfqn.mva.SjnOptions: Priority levels, one per class, lower is higher priority.
prio - Variable in class jline.lang.layered.LayeredNetworkStruct: Scheduling priority of a task, 0 on every other index.
prio - Variable in class jline.solvers.fluid.petri.PetriMode
prio_hol_closed() - Static method in class jline.examples.java.basic.PrioExamples: Closed priority network with HOL scheduling (prio_hol_closed.ipynb).
prio_hol_closed() - Static method in class jline.examples.java.basic.PrioModel: Closed network comparing scheduling strategies with priorities.
prio_hol_open() - Static method in class jline.examples.java.basic.PrioExamples: Open priority network with HOL scheduling (prio_hol_open.ipynb).
prio_hol_open() - Static method in class jline.examples.java.basic.PrioModel: Open network with multiple scheduling strategies and priority classes.
prio_identical() - Static method in class jline.examples.java.basic.PrioExamples: Priority network with GPSPRIO scheduling (prio_identical.ipynb).
prio_identical() - Static method in class jline.examples.java.basic.PrioModel: Network with GPSPRIO scheduling and multiple priority classes.
prio_psprio() - Static method in class jline.examples.java.basic.PrioExamples: Processor sharing with priority (prio_psprio.ipynb).
prio_psprio() - Static method in class jline.examples.java.basic.PrioModel: Simple priority network with PSPRIO scheduling.
PrioExamples - Class in jline.examples.java.basic: Priority queueing examples mirroring the example notebooks in prioModel.
PrioExamples() - Constructor for class jline.examples.java.basic.PrioExamples
PrioModel - Class in jline.examples.java.basic: Examples of queueing models with priorities
PrioModel() - Constructor for class jline.examples.java.basic.PrioModel
prior - Variable in class jline.solvers.uq.SolverUQ.PriorInfo
Prior - Class in jline.lang.processes: Prior distribution representing parameter uncertainty over alternative distributions.
Prior(List<Distribution>, double[]) - Constructor for class jline.lang.processes.Prior: Creates a Prior distribution with specified alternatives and probabilities.
Prior(Distribution[], double[]) - Constructor for class jline.lang.processes.Prior: Convenience constructor for array-based input.
PRIOR - Enum constant in enum jline.lang.constant.ProcessType
Prior.Design - Class in jline.lang.processes: A prior reduced to weighted alternatives, i.e.
priorInfo - Variable in class jline.solvers.uq.SolverUQ
PriorInfo(int, int, String, Prior) - Constructor for class jline.solvers.uq.SolverUQ.PriorInfo
priorInitialState - Variable in class jline.lang.state.State
priority - Variable in class jline.lang.JobClass
priority - Variable in class jline.lang.layered.Task
PriorityAnalysis - Class in jline.solvers.mam.handlers: Analysis result indicating priority configuration support level.
PriorityAnalysis(boolean, boolean, boolean, String) - Constructor for class jline.solvers.mam.handlers.PriorityAnalysis
priorShape - Variable in class jline.inference.lang.EstimatorOptions: Shape of the Gamma prior placed on each estimated rate ("vi").
privateTmpDirFlag(String) - Static method in class jline.solvers.wrappers.jmt.JmtBackend: The -Djava.io.tmpdir switch that keeps one run's JMT scratch private.
prob - Variable in class jline.api.fj.FJ_parallel.FJTsmCapacityResult
prob - Variable in class jline.io.Ret.ActionMapEntry
prob - Variable in class jline.io.Ret.pfqnComomrmLd
prob - Variable in class jline.io.Ret.pfqnComomrmMs
prob - Variable in class jline.lang.Event
prob - Variable in class jline.lang.FJSync
prob - Variable in class jline.lang.ModeEvent
prob - Variable in class jline.lang.nodes.Cache.RetrievalRoutingEntry
prob - Variable in class jline.solvers.ag.handlers.ActionInfo
prob - Variable in class jline.solvers.ctmc.CTMCResult
prob - Variable in class jline.solvers.nc.NCResult
prob(int) - Method in class jline.solvers.NetworkSolver
prob(int, Matrix) - Method in class jline.solvers.NetworkSolver
prob(Node, Matrix) - Method in class jline.solvers.auto.SolverAUTO: Alias for getProb()
Prob() - Constructor for class jline.solvers.ctmc.CTMCResult.Prob
PROB - Enum constant in enum jline.lang.constant.RoutingStrategy: Probabilistic routing - destination selected according to specified probabilities
prob_wait - Variable in class jline.lib.fjcodes.ReturnWaitResult
probAbandon - Variable in class jline.api.qsys.QsysAbandonResult: P(A) = 1 - P(S), an entering customer eventually abandons.
probAbandon - Variable in class jline.api.qsys.QsysFluidAbandonResult: 1 - 1/rho when overloaded, 0 otherwise.
probabilities - Variable in class jline.lang.processes.Prior: Vector of prior probabilities (must sum to 1)
probabilities - Variable in class jline.lib.m3a.M3A.CoxianParameters
probabilities - Variable in class jline.lib.m3a.M3A.HyperExpParameters
probabilities - Variable in class jline.solvers.uq.SolverUQ.EmpiricalCDF
probability - Variable in class jline.io.Ret.ProbabilityResult: The probability value(s).
probability - Variable in class jline.lib.perm.NetworkNoThink.MarginalResult
probability - Variable in class jline.solvers.mva.ProbabilityResult: The scalar probability value (for getProbAggr-style results)
probability - Variable in class jline.solvers.uq.SolverUQ.PosteriorTableRow
probability(double[], double[][], double[], double[]) - Static method in class jline.solvers.fluid.moments.MvnRectangle: Probability that a normal vector falls in the rectangle [a,b].
probability(double[], double[][], double[], double[], int) - Static method in class jline.solvers.fluid.moments.MvnRectangle: Probability that a normal vector falls in the rectangle [a,b].
ProbabilityResult - Class in jline.solvers.mva: Result class for probability calculations in solvers.
ProbabilityResult() - Constructor for class jline.io.Ret.ProbabilityResult: Default constructor.
ProbabilityResult(double) - Constructor for class jline.io.Ret.ProbabilityResult: Constructor for scalar probability results.
ProbabilityResult(double, boolean) - Constructor for class jline.io.Ret.ProbabilityResult: Constructor for normalizing constant results.
ProbabilityResult(double, double) - Constructor for class jline.solvers.mva.ProbabilityResult: Constructor for scalar probability result.
ProbabilityResult(int, int) - Constructor for class jline.solvers.mva.ProbabilityResult: Constructor for multi-station, multi-class marginal storage.
ProbabilityResult(Matrix) - Constructor for class jline.io.Ret.ProbabilityResult: Constructor for matrix probability results.
ProbabilityResult(Matrix) - Constructor for class jline.solvers.mva.ProbabilityResult: Constructor for probability distribution result.
probabilityUpdate() - Method in class jline.lang.sections.OutputSection
probAggr(int) - Method in class jline.solvers.NetworkSolver
probAggr(int, Matrix) - Method in class jline.solvers.NetworkSolver
probAggr(Node, Matrix) - Method in class jline.solvers.auto.SolverAUTO: Alias for getProbAggr()
probchoose(List<Double>) - Static method in class jline.util.Maths: Choose an element index according to probability vector.
probchoose(Matrix) - Static method in class jline.util.Maths: Choose an element index according to probability vector.
PROBE_PORTS - Static variable in class jline.api.sym.SymEngines: Ports probed for an already running service, in order.
probEnv - Variable in class jline.lang.Environment
probFun - Variable in class jline.lang.Event
probLoss - Variable in class jline.api.qsys.QsysAbandonResult: P(an arrival is blocked) = p_{s+r}; zero when the waiting room is infinite.
probMarg(int, int) - Method in class jline.solvers.NetworkSolver
probMarg(int, int, Matrix) - Method in class jline.solvers.NetworkSolver
probMarg(Node, int, Matrix) - Method in class jline.solvers.auto.SolverAUTO: Alias for getProbMarg()
probNormConstAggr() - Method in class jline.solvers.auto.SolverAUTO: Alias for getProbNormConstAggr()
probNormConstAggr() - Method in class jline.solvers.NetworkSolver
probNoWait - Variable in class jline.api.qsys.QsysAbandonResult: P(W = 0) among entering customers.
probOrig - Variable in class jline.lang.Environment
probs - Variable in class jline.lang.state.Polling.Landing: Probability of each successor row.
probs - Variable in class jline.lang.workflow.Workflow.SPNode: Branch probabilities of an or node.
probServed - Variable in class jline.api.qsys.QsysAbandonResult: P(S), an entering customer is eventually served.
probSys() - Method in class jline.solvers.auto.SolverAUTO: Alias for getProbSys()
probSys() - Method in class jline.solvers.NetworkSolver
probSysAggr() - Method in class jline.solvers.auto.SolverAUTO: Alias for getProbSysAggr()
probSysAggr() - Method in class jline.solvers.NetworkSolver
probSysStateAggr() - Method in class jline.solvers.wrappers.jmt.SolverJMT
proc - Variable in class jline.lang.Environment
proc - Variable in class jline.lang.NetworkStruct
process - Variable in class jline.lang.processes.Det
process - Variable in class jline.lang.processes.Markovian
process() - Method in class jline.lang.processes.Det: Property alias for getProcess
process() - Method in class jline.lang.processes.Gamma: Property alias for getProcess
process() - Method in class jline.lang.processes.Lognormal: Property alias for getProcess
process() - Method in class jline.lang.processes.Markovian: Property alias for getProcess
process() - Method in class jline.lang.processes.Pareto: Property alias for getProcess
process() - Method in class jline.lang.processes.PH: Property alias for getProcess
process() - Method in class jline.lang.processes.Uniform: Property alias for getProcess
process() - Method in class jline.lang.processes.Weibull: Property alias for getProcess
process(String) - Method in class jline.util.matrix.MatrixEquation: Processes a mathematical equation string and returns a new MatrixEquation containing the results.
Process - Class in jline.lang.processes: An abstract class for stochastic processes
Process(String, int) - Constructor for class jline.lang.processes.Process: Creates a new process with the specified name and number of parameters.
processMap - Variable in class jline.io.Ret.snToAG
processMap - Variable in class jline.solvers.ag.handlers.RCATModel
Processor - Class in jline.lang.layered: Alias for the Host class, i.e., a processor that can run Tasks
Processor(LayeredNetwork, String) - Constructor for class jline.lang.layered.Processor
Processor(LayeredNetwork, String, int) - Constructor for class jline.lang.layered.Processor
Processor(LayeredNetwork, String, int, SchedStrategy) - Constructor for class jline.lang.layered.Processor
Processor(LayeredNetwork, String, int, SchedStrategy, double) - Constructor for class jline.lang.layered.Processor
Processor(LayeredNetwork, String, int, SchedStrategy, double, double) - Constructor for class jline.lang.layered.Processor
PROCESSOR - Static variable in class jline.lang.layered.LayeredNetworkElement
ProcessorMultiplicity - Class in jline.opt.variables: Optimize the multiplicity (core count) of an LQN Processor (integer).
ProcessorMultiplicity(String, int, int) - Constructor for class jline.opt.variables.ProcessorMultiplicity
ProcessorMultiplicity(String, int, int, String) - Constructor for class jline.opt.variables.ProcessorMultiplicity
ProcessorMultiplicity(Processor, int, int) - Constructor for class jline.opt.variables.ProcessorMultiplicity
ProcessType - Enum in jline.lang.constant: Constants for specifying a point process type
procid - Variable in class jline.lang.NetworkStruct
produced - Variable in class jline.api.sn.SnPnFiringRates.Ret: Tokens produced, indexed [mode][place][class].
producers - Variable in class jline.solvers.fluid.petri.PetriTerms
producersOf(int, int) - Method in class jline.solvers.fluid.petri.PetriTerms
Profile(int, double[], double[][], double[][]) - Constructor for class jline.api.pfqn.mva.Pfqn_mvasjn.Profile
profiles - Variable in class jline.api.pfqn.mva.Pfqn_mvasjn.Result: Conditional waiting time profiles, one per SJN station.
project(Polling.Info, int[]) - Static method in class jline.lang.state.Polling: Project a full {pos, swk, ctr} triple onto the materialized columns.
projectors - Variable in class jline.io.Ret.SpectralDecomposition
projectRate(double[], double[], boolean, double) - Static method in class jline.solvers.fluid.moments.FluidClosures: Project a jointly closed per-coordinate service share onto the set it has to live in, mirroring MATLAB local_project_rate: r >= 0, r <= xb where that bound applies, and sum(r) = tot.
prOvertake - Variable in class jline.solvers.ln.SolverLN
PRPrio - Enum constant in enum jline.lang.constant.SchedStrategyType
PS - Enum constant in enum jline.lang.constant.SchedStrategy: Processor Sharing - all jobs receive equal share of service capacity
PS - Static variable in class jline.api.pfqn.Pfqn_mwrbb
Psi - Variable in class jline.io.Ret.pfqnOifnc
PSJF - Enum constant in enum jline.lang.constant.SchedStrategy: Preemptive Shortest Job First - priority based on original job size (not remaining)
PSPRIO - Enum constant in enum jline.lang.constant.SchedStrategy: Processor Sharing with Priorities - PS within priority levels
psrespt - Variable in class jline.solvers.NetworkMomentResult: The processor-sharing sojourn-time moment result of Mitra and Morrison, or null when no PS station qualified (see NetworkSolver.getMomentTable for the two configurations that do).
pstar - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
pstar - Variable in class jline.solvers.SolverOptions.Config: P-norm smoothing parameters for fluid solvers
ptaskcallers - Variable in class jline.solvers.ln.SolverLN.LNState
ptaskcallers - Variable in class jline.solvers.ln.SolverLN
ptaskcallers_step - Variable in class jline.solvers.ln.SolverLN
ptype - Variable in class jline.lang.state.Polling.Info: Polling discipline, identical across the class buffers.
pull(String) - Static method in class jline.io.DockerImage: Pull an image, streaming Docker's progress to stdout/stderr.
pushQuiet() - Static method in class jline.io.LineConsole: Suppress structure-compile detail until LineConsole.popQuiet().
put(String, Object) - Method in class jline.lang.ModelAttribute: Writes a metadata field, overwriting any previous value.
put(String, Object) - Method in class jline.solvers.SolverOptions.Config: Store a configuration parameter
put(Station, JobClass, Metric) - Method in class jline.solvers.AvgHandle: Stores a metric for a specific station and job class.
put(EventCacheKey, Ret.EventResult) - Method in class jline.lang.state.EventCache
putServerIdxOf(int, int) - Method in class jline.lang.NetworkAttribute
pvalue - Variable in class jline.api.sim.HypothesisTestResult: The p-value.

Q

q - Variable in class jline.api.fj.FJ_maxima.FJCoxFitResult
q - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
q - Variable in class jline.api.lti.WeeksParams: Laguerre coefficients q_n, n = 0..2*p0-1.
q - Variable in class jline.api.qsys.QsysBmapM1Result: Uniformization constant actually used.
q() - Method in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
q(int, int) - Method in class jline.api.mapqn.Mapqn_bnd_lr_pf.PFParameters
q(int, int, int, int) - Method in class jline.api.mapqn.LinearReductionParameters
q(int, int, int, int) - Method in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
q(int, int, int, int) - Method in class jline.api.mapqn.MVAVersionParameters
q(int, int, int, int, int) - Method in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters: Compute q parameter with load dependence.
q(int, int, int, int, int) - Method in class jline.api.mapqn.Mapqn_bnd_qr_ld.QuadraticLDParameters
q(int, int, int, int, int) - Method in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
Q - Variable in class jline.api.fes.FesMapDeaggregateResult: Mean queue length per station.
Q - Variable in class jline.api.fes.FesMapSolveResult: Mean number of jobs held by the flow-equivalent server.
Q - Variable in class jline.api.fj.FJ_closed.FJAmvaResult
Q - Variable in class jline.api.fj.FJ_closed.FJQgbResult
Q - Variable in class jline.api.fj.FJ_parallel.FJResptBulkResult
Q - Variable in class jline.api.infer.InferLqnOptions
Q - Variable in class jline.api.infer.InferLqnResult
Q - Variable in class jline.api.mdd.MddClosedQnResult: CTMC generator, rows aligned to MDD.index(int[]) order.
Q - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Mean number of class-k jobs at the DPS station, 1 x K.
Q - Variable in class jline.api.pfqn.ld.Pfqn_qdamva.Result: (M x R) mean queue lengths.
Q - Variable in class jline.api.pfqn.ld.Pfqn_qdlin.Result: (M x R) mean queue lengths at the queueing stations.
Q - Variable in class jline.api.pfqn.mva.Pfqn_looping.Result: Mean queue lengths on the pessimistic side.
Q - Variable in class jline.api.pfqn.mva.Pfqn_momlin.MomlinResult
Q - Variable in class jline.api.pfqn.mva.Pfqn_mva_interval.Result: Mean queue-length intervals per station (M x 2).
Q - Variable in class jline.api.pfqn.mva.Pfqn_mvasjn.Result: Mean queue lengths (M x R).
Q - Variable in class jline.api.pfqn.mva.Pfqn_nintmva.Result: Mean queue lengths (M x 1).
Q - Variable in class jline.api.pfqn.mva.Pfqn_sqni.PfqnSqniResult
Q - Variable in class jline.api.pfqn.mva.Pfqn_tay.Result: Mean queue lengths (M x R).
Q - Variable in class jline.api.pfqn.nc.Pfqn_pas_is.Result
Q - Variable in class jline.api.pfqn.Pfqn_cftp.PfqnCftpReturn: Empirical mean queue length per station (1 x M).
Q - Variable in class jline.api.pfqn.Pfqn_marie.MultiResult
Q - Variable in class jline.api.pfqn.Pfqn_marie.Result
Q - Variable in class jline.api.pfqn.Pfqn_sdr.Result: Mean queue lengths, centers by chains.
Q - Variable in class jline.api.pfqn.sens.Pfqn_hst.Result: Mean queue length there.
Q - Variable in class jline.api.qsys.QsysTvFluidResult: Fluid in queue.
Q - Variable in class jline.io.Ret.LinearizerResult
Q - Variable in class jline.io.Ret.pfqnAMVA
Q - Variable in class jline.io.Ret.pfqnAMVAMS
Q - Variable in class jline.io.Ret.pfqnAMVASchmidt: Queue length matrix (M x R)
Q - Variable in class jline.io.Ret.pfqnBkLc
Q - Variable in class jline.io.Ret.pfqnDAC
Q - Variable in class jline.io.Ret.pfqnManjunath: Per-class decomposition, null unless it was requested.
Q - Variable in class jline.io.Ret.pfqnMcmc: (M x R) mean queue lengths at the queueing stations.
Q - Variable in class jline.io.Ret.pfqnMVA
Q - Variable in class jline.io.Ret.pfqnMVAC
Q - Variable in class jline.io.Ret.pfqnMVACLD
Q - Variable in class jline.io.Ret.pfqnMVALD
Q - Variable in class jline.io.Ret.pfqnMVALDMX
Q - Variable in class jline.io.Ret.pfqnNc
Q - Variable in class jline.io.Ret.pfqnNcXQ
Q - Variable in class jline.io.Ret.pfqnProcomom
Q - Variable in class jline.io.Ret.pfqnSens
Q - Variable in class jline.io.Ret.pfqnSensLinearizer
Q - Variable in class jline.io.Ret.pfqnSensMom
Q - Variable in class jline.io.Ret.pfqnSensMva
Q - Variable in class jline.io.Ret.pfqnSensMvaldmx
Q - Variable in class jline.io.Ret.pfqnSensRespt
Q - Variable in class jline.io.Ret.snDeaggregateChainResults
Q - Variable in class jline.solvers.ag.handlers.INAPResult
Q - Variable in class jline.solvers.ctmc.CTMCResult.AVG
Q - Variable in class jline.solvers.mam.handlers.Mam_bgchain_ctmc.Result: Generator.
Q - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Flat
Q - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
Q - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
Q - Variable in class jline.solvers.NetworkMomentResult: Mq x R mean queue length, one row per queueing station in node order.
Q - Variable in class jline.solvers.SolverAvgHandles: Queue length handles [stations x classes]
Q - Variable in class jline.solvers.tr.TransformSolve.Inner
Q - Variable in class jline.solvers.tr.TransformSolve.Lifted
Q - Variable in class jline.solvers.tr.TransformSolve.Result
Q - Variable in class jline.solvers.uq.SolverUQ.PosteriorTableRow
Q - Variable in class jline.util.Maths.simplexQuadResult
Q() - Method in class jline.lang.processes.MMDP: Returns the generator matrix Q.
Q() - Method in class jline.lang.processes.MMDP2: Returns the generator matrix Q (closed-form for 2 states).
Q_1 - Variable in class jline.io.Ret.pfqnEstimate
Q_1 - Variable in class jline.io.Ret.pfqnLinearizerEstimate
Q_1 - Variable in class jline.io.Ret.pfqnLinearizerMSEstimate
Q_CT_MAP_D_C - Class in jline.lib.qmam
Q_CT_MAP_M_C - Class in jline.lib.qmam: Q_CT_MAP_M_C - Continuous-Time MAP/M/c Queue Analyzer.
Q_CT_MAP_MAP_1 - Class in jline.lib.qmam
Q_CT_MMAPK_PHK_1 - Class in jline.lib.qmam: Q_CT_MMAPK_PHK_1 - Continuous-Time MMAP[K]/PH[K]/1 Queue Analyzer.
Q_CT_PH_PH_1 - Class in jline.lib.qmam
Q_DT_MAP_MAP_1 - Class in jline.lib.qmam
Q_DT_PH_PH_1 - Class in jline.lib.qmam
Q_r - Variable in class jline.lib.rmf.CacheRMF.ReducedSystem
Q_RAP_RAP_1 - Class in jline.lib.qmam
Q_RAP_RAP_1.RAPRAP1Options - Class in jline.lib.qmam: Options for RAP/RAP/1 queue analysis
Q_RAP_RAP_1.RAPRAP1Result - Class in jline.lib.qmam: Result of RAP/RAP/1 queue analysis
Q_Sylvest - Class in jline.lib.qmam
Q0 - Variable in class jline.api.mam.LdqbdMphc.Blocks
Q0 - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
Q1 - Variable in class jline.api.mam.LdqbdMphc.Blocks
Q1 - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
Q11 - Variable in class jline.solvers.ctmc.SolverCTMC.StochCompResult
Q12 - Variable in class jline.solvers.ctmc.SolverCTMC.StochCompResult
Q2 - Variable in class jline.api.mam.LdqbdMphc.Blocks
Q2 - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
Q21 - Variable in class jline.solvers.ctmc.SolverCTMC.StochCompResult
Q22 - Variable in class jline.solvers.ctmc.SolverCTMC.StochCompResult
Qarr - Variable in class jline.api.pfqn.mva.Pfqn_tay.Result: Arrival-instant queue lengths, indexed [r][m][k]: the class-k queue length at station m as seen by an arriving class-r job.
qbd_bmapbmap1(MatrixCell, Matrix, MatrixCell) - Static method in class jline.api.mam.Qbd_bmapbmap1: Set up QBD matrices for BMAP/BMAP/1 queue analysis.
Qbd_bmapbmap1 - Class in jline.api.mam
Qbd_bmapbmap1.QbdBmapResult - Class in jline.api.mam: Result containing QBD matrices for BMAP/BMAP/1 queue.
QBD_CAUDAL - Class in jline.lib.smc
QBD_CAUDAL(Matrix, Matrix, Matrix) - Static method in class jline.lib.smc.QBD_CAUDAL
QBD_CAUDAL(Matrix, Matrix, Matrix, boolean) - Static method in class jline.lib.smc.QBD_CAUDAL
QBD_CR - Class in jline.lib.smc
QBD_CR(Matrix, Matrix, Matrix, Integer, Integer, String, Integer) - Static method in class jline.lib.smc.QBD_CR
qbd_depproc_etaqa(MatrixCell, MatrixCell, int) - Static method in class jline.api.mam.Qbd_depproc_etaqa: Compute MAP departure process for MAP/MAP/1-FCFS via ETAQA truncation.
Qbd_depproc_etaqa - Class in jline.api.mam
qbd_depproc_etaqa_ps(MatrixCell, MatrixCell, int) - Static method in class jline.api.mam.Qbd_depproc_etaqa_ps: Compute MAP departure process for MAP/MAP/1-PS via ETAQA truncation.
Qbd_depproc_etaqa_ps - Class in jline.api.mam
qbd_depproc_jointmom(MatrixCell, MatrixCell, Matrix) - Static method in class jline.api.mam.Qbd_depproc_jointmom: Compute joint moments of consecutive inter-departure times.
Qbd_depproc_jointmom - Class in jline.api.mam
QBD_EG - Class in jline.lib.smc
QBD_EG(Matrix, Matrix, Matrix, boolean) - Static method in class jline.lib.smc.QBD_EG
QBD_FI - Class in jline.lib.smc
QBD_FI(Matrix, Matrix, Matrix, Integer, Integer, String, Matrix, Integer) - Static method in class jline.lib.smc.QBD_FI
QBD_IS - Class in jline.lib.smc: Invariant Subspace for Quasi-Birth-Death Markov Chains [Akar, Sohraby]
QBD_IS(Matrix, Matrix, Matrix, Integer, Integer, String, Integer) - Static method in class jline.lib.smc.QBD_IS
QBD_LR - Class in jline.lib.smc
QBD_LR(Matrix, Matrix, Matrix, Integer, Integer, String, Integer) - Static method in class jline.lib.smc.QBD_LR
qbd_mapmap1(MatrixCell, MatrixCell) - Static method in class jline.api.mam.Qbd_mapmap1
qbd_mapmap1(MatrixCell, MatrixCell, Double) - Static method in class jline.api.mam.Qbd_mapmap1: Analyze MAP/MAP/1 queue using QBD methods.
Qbd_mapmap1 - Class in jline.api.mam
QBD_NI - Class in jline.lib.smc
QBD_NI(Matrix, Matrix, Matrix, Integer, Integer, String, Integer) - Static method in class jline.lib.smc.QBD_NI
QBD_NI_Sylvest - Class in jline.lib.smc
QBD_NI_Sylvest(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.smc.QBD_NI_Sylvest: Solves the Sylvester equation AXB + CX = D using complex Schur and Hessenberg-triangular decomposition.
QBD_ParsePara - Class in jline.lib.smc
QBD_ParsePara(Matrix, Matrix, Matrix) - Static method in class jline.lib.smc.QBD_ParsePara
QBD_pi - Class in jline.lib.smc
QBD_pi(Matrix, Matrix, Matrix) - Static method in class jline.lib.smc.QBD_pi: QBD_pi: Stationary vector of a Quasi-Birth-Death Markov Chains [Neuts]
QBD_pi(Matrix, Matrix, Matrix, int, int, Matrix, int) - Static method in class jline.lib.smc.QBD_pi
qbd_R(Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Qbd_R
qbd_R(Matrix, Matrix, Matrix, int) - Static method in class jline.api.mam.Qbd_R: Compute R matrix using successive substitutions method for QBD processes.
Qbd_R - Class in jline.api.mam: QBD R-matrix computation algorithms.
qbd_R_logred(Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Qbd_R_logred
qbd_R_logred(Matrix, Matrix, Matrix, int) - Static method in class jline.api.mam.Qbd_R_logred: Compute R matrix using logarithmic reduction method for QBD processes.
Qbd_R_logred - Class in jline.api.mam
qbd_rap(Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Qbd_rap
qbd_rap(Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.mam.Qbd_rap
qbd_rap(Matrix, Matrix, Matrix, Matrix, Matrix, int) - Static method in class jline.api.mam.Qbd_rap: Equilibrium analysis of a QBD with RAP components.
Qbd_rap - Class in jline.api.mam
qbd_rap_g(Matrix, Matrix, Matrix, double) - Static method in class jline.api.mam.Qbd_rap: Solves A0*G^2 + A1*G + A2 = 0 for the matrix G, using the exact rank-one closed form when A2 has rank one and otherwise functional iteration followed by Newton's method.
QBD_RAP_ParsePara - Class in jline.lib.smc
QBD_RAP_ParsePara(Matrix, Matrix, Matrix) - Static method in class jline.lib.smc.QBD_RAP_ParsePara: QBD_RAP_ParsePara checks the validity of the input matrices A0, A1 and A2 for a QBD with RAP components.
qbd_raprap1(MatrixCell, MatrixCell) - Static method in class jline.api.mam.Qbd_raprap1
qbd_raprap1(MatrixCell, MatrixCell, Double) - Static method in class jline.api.mam.Qbd_raprap1
Qbd_raprap1 - Class in jline.api.mam
qbd_rg(MatrixCell, MatrixCell) - Static method in class jline.api.mam.Qbd_rg
qbd_rg(MatrixCell, MatrixCell, Double) - Static method in class jline.api.mam.Qbd_rg: Compute R and G matrices for MAP/MAP/1 queue using QBD approach.
Qbd_rg - Class in jline.api.mam
Qbd_rg.QbdCrResult - Class in jline.api.mam: Result from simplified QBD CR solver (kept for backward compatibility).
Qbd_rg.QbdRgResult - Class in jline.api.mam: Result class for qbd_rg containing R, G, B, L, F, U.
qbd_setupdelayoff(double, double, double, double, double, double) - Static method in class jline.api.mam.Qbd_setupdelayoff: Analyze a queue with setup delays and server switch-off using QBD approach.
Qbd_setupdelayoff - Class in jline.api.mam
qbd_setupdelayoff_closed(double, double, double, double, double, double, double) - Static method in class jline.api.mam.Qbd_setupdelayoff_closed: Mean queue length and throughput of a FINITE-POPULATION queue with setup delay and delay-off.
Qbd_setupdelayoff_closed - Class in jline.api.mam
Qbd_setupdelayoff_closed.Result - Class in jline.api.mam: Mean queue length and throughput of the closed setup/delay-off queue.
QbdBmapResult(Matrix, Matrix, List<Matrix>, Matrix, List<Matrix>) - Constructor for class jline.api.mam.Qbd_bmapbmap1.QbdBmapResult
QbdCrResult(Matrix, Matrix, Matrix) - Constructor for class jline.api.mam.Qbd_rg.QbdCrResult
QBDFundamentalMatrices - Class in jline.lib.butools
QBDFundamentalMatrices(Matrix, Matrix, Matrix, Double, Integer, String, Integer) - Static method in class jline.lib.butools.QBDFundamentalMatrices
qbdFundMat(FieldMatrix<Complex>, FieldMatrix<Complex>, FieldMatrix<Complex>) - Static method in class jline.api.mam.TransientQbd: Returns {G, R} of the QBD with raw blocks (B, L, F).
QbdMapMap1Result - Class in jline.api.mam: Result of qbd_mapmap1 analysis.
QbdMapMap1Result(double, double, double, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, MatrixCell) - Constructor for class jline.api.mam.QbdMapMap1Result
qbdQueue(Matrix, Matrix, Matrix, Matrix, Map<String, Object>) - Static method in class jline.lib.butools.queues.QBDQueue
qbdQueue(Matrix, Matrix, Matrix, Matrix, Map<String, Object>, double) - Static method in class jline.lib.butools.queues.QBDQueue: Returns various performance measures of a continuous time QBD queue.
QBDQueue - Class in jline.lib.butools.queues
QbdRapRap1Result - Class in jline.api.mam
QbdRapRap1Result(double, double, double, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.api.mam.QbdRapRap1Result
QbdRapResult - Class in jline.api.mam: Return set of Qbd_rap.qbd_rap(jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, jline.util.matrix.Matrix, int).
QbdRapResult(Matrix, double, Matrix, Matrix, Matrix, double, Matrix, Matrix) - Constructor for class jline.api.mam.QbdRapResult
QbdRgResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.api.mam.Qbd_rg.QbdRgResult
qbdSolve(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.butools.mam.QBDSolve
qbdSolve(Matrix, Matrix, Matrix, Matrix, double) - Static method in class jline.lib.butools.mam.QBDSolve: Returns the parameters of the matrix-geometrically distributed stationary distribution of a QBD.
QBDSolve - Class in jline.lib.butools.mam
qbdStationaryDistr(double[], Matrix, int) - Static method in class jline.lib.butools.mam.QBDStationaryDistr: Overload for double[] pi0.
qbdStationaryDistr(Matrix, Matrix, int) - Static method in class jline.lib.butools.mam.QBDStationaryDistr: Returns the stationary distribution of a QBD up to a given level K.
QBDStationaryDistr - Class in jline.lib.butools.mam
QbdTail - Class in jline.solvers.ag.handlers: The matrix-geometric tail of one open RCAT component with more than one phase per level: pi_(n+1) = pi_n R, closed by the boundary equations of levels 0 and 1.
QbdTail(Matrix, Matrix, Matrix, Matrix, double) - Constructor for class jline.solvers.ag.handlers.QbdTail
QCov - Variable in class jline.api.pfqn.mva.Pfqn_momlin.MomlinResult
QCov - Variable in class jline.io.Ret.pfqnSens
QCov - Variable in class jline.io.Ret.pfqnSensMva
QCov - Variable in class jline.io.Ret.pfqnSensMvaldmx
QCov - Variable in class jline.solvers.NetworkMomentResult: Per-station covariance blocks; QCov[i] is R x R with entry (r,s) = Cov[n(i,r),n(i,s)].
QCovAsym - Variable in class jline.io.Ret.pfqnSens
QCovAsym - Variable in class jline.io.Ret.pfqnSensMva
QCovAsym - Variable in class jline.io.Ret.pfqnSensMvaldmx
QCovFull - Variable in class jline.io.Ret.pfqnSensMvaldmx
QCovt - Variable in class jline.solvers.fluid.FluidResult: FluidResult.Sigmat AGGREGATED onto station-class pairs, one (M*K)-by-(M*K) matrix per time point, indexed ir = r*M + i.
qCtMapDC(Matrix, Matrix, double, int) - Static method in class jline.lib.qmam.Q_CT_MAP_D_C
qCtMapDC(Matrix, Matrix, double, int, MAPDcOptions) - Static method in class jline.lib.qmam.Q_CT_MAP_D_C: Computes queue length and waiting time distribution for a MAP/D/c/FCFS queue.
qCtMapMap1(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.qmam.Q_CT_MAP_MAP_1
qCtMapMap1(Matrix, Matrix, Matrix, Matrix, MAPMAP1Options) - Static method in class jline.lib.qmam.Q_CT_MAP_MAP_1: Computes queue length and time distributions for a MAP/MAP/1/FCFS queue.
qCtMapMC(Matrix, Matrix, double, int) - Static method in class jline.lib.qmam.Q_CT_MAP_M_C
qCtMapMC(Matrix, Matrix, double, int, MAPMcOptions) - Static method in class jline.lib.qmam.Q_CT_MAP_M_C
qCtMmapkPhk1(Matrix, List<Matrix>, List<Matrix>, List<Matrix>) - Static method in class jline.lib.qmam.Q_CT_MMAPK_PHK_1
qCtMmapkPhk1(Matrix, List<Matrix>, List<Matrix>, List<Matrix>, MMAPKPHK1Options) - Static method in class jline.lib.qmam.Q_CT_MMAPK_PHK_1
qCtPhPh1(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.qmam.Q_CT_PH_PH_1
qCtPhPh1(Matrix, Matrix, Matrix, Matrix, PHPH1Options) - Static method in class jline.lib.qmam.Q_CT_PH_PH_1: Computes queue length and waiting time distribution for a PH/PH/1/FCFS queue.
Qdelay - Variable in class jline.api.pfqn.mva.Pfqn_mvaoi.Result
qDtMapMap1(Matrix, Matrix, Matrix, Matrix, MAPMAP1Options) - Static method in class jline.lib.qmam.Q_DT_MAP_MAP_1: Queue length distribution of a discrete-time DMAP/DMAP/1/FCFS queue.
qDtPhPh1(Matrix, Matrix, Matrix, Matrix, MAPMAP1Options) - Static method in class jline.lib.qmam.Q_DT_PH_PH_1: Queue length distribution of a discrete-time DPH/DPH/1/FCFS queue.
QFac - Variable in class jline.api.infer.InferLqnOptions
Qhi - Variable in class jline.io.Ret.pfqnMcmc: (M x R) upper end of the two-sigma interval for Q.
qIndices - Variable in class jline.inference.api.Infer_fluid_ps_rt_likelihood.FluidPsRtResult
qIndices - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
ql - Variable in class jline.api.mam.Mg1_dt_queue.Result
Qlead - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Leading-order (one-term) queue lengths, 1 x K.
qlen - Variable in class jline.inference.api.VariationalResult: (G x M*R) expected queue lengths.
qlen - Variable in class jline.solvers.ag.handlers.QbdTail
qLen - Variable in class jline.io.Ret.lossnErlangFP
qLen - Variable in class jline.io.Ret.lossnManjunath
qLen - Variable in class jline.io.Ret.lossnMCI
qLen(String) - Static method in class jline.api.infer.ObsSpec: Observe the queue length of the named element.
QLen - Enum constant in enum jline.lang.constant.MetricType
QLen - Enum constant in enum jline.lang.reward.RewardDescriptor.Kind
QLen - Variable in class jline.api.lossn.Lossn_rec.LossnRecResult: Mean number of class-r calls in progress, the carried load.
QLen - Variable in class jline.api.mdd.MddClosedQnResult: Mean number of jobs per station.
QLen - Variable in class jline.api.mdd.MddMcdResult: Mean occupancy per station (or place), in station order.
QLen - Variable in class jline.solvers.mam.handlers.Mam_bgchain_ctmc.Result: Mean queue length per station per background class.
QLen - Variable in class jline.solvers.mam.handlers.Mam_bgchain_station.StationResult: Mean number of open jobs at the station.
QLEN - Enum constant in enum jline.api.infer.ObsSpec.Metric
qlenLdmx - Variable in class jline.solvers.NetworkMomentResult: The closed-multiserver or mixed queue-length result, or null.
qlenmom - Variable in class jline.solvers.NetworkMomentResult: The per-class queue-length moment result, from Pfqn_sens_mom with groups = 1..R, i.e.
qlenMomlin - Variable in class jline.solvers.NetworkMomentResult: The approximate queue-length moment result, or null.
qlenMva - Variable in class jline.solvers.NetworkMomentResult: The closed single-server queue-length result, or null.
Qli - Variable in class jline.api.pfqn.mva.Pfqn_mvaoi.Result
QLN - Variable in class jline.solvers.ldes.LNLDESResult: Queue length per LQN element [1 x nidx]
QLNCI - Variable in class jline.solvers.ldes.LNLDESResult: Queue length confidence interval half-widths [1 x nidx]
Qlo - Variable in class jline.io.Ret.pfqnMcmc: (M x R) lower end of the two-sigma interval for Q.
Qlo - Variable in class jline.solvers.uq.SolverUQ.Interval: Queue-length endpoints.
Qlower - Variable in class jline.solvers.ba.SolverBA.Bounds
qlPerType - Variable in class jline.lib.qmam.MMAPKPHK1Result
qlru - Variable in class jline.lang.nodeparam.CacheNodeParam: q-LRU admission probability on a miss (1.0 = always admit).
QLRU - Enum constant in enum jline.lang.constant.ReplacementStrategy
qlTotal - Variable in class jline.lib.qmam.MMAPKPHK1Result
QN - Variable in class jline.api.fes.FESAggregator.ConditionalMetrics: Deprecated.

Indexed by the linearized population state; each (M_sub x K).
QN - Variable in class jline.api.lqn.Lqn_mol.Result
QN - Variable in class jline.api.mam.Mg1_dt_queue.Result
QN - Variable in class jline.api.mam.Qbd_setupdelayoff_closed.Result: Mean number of jobs at the station.
QN - Variable in class jline.api.pfqn.mva.Pfqn_mvaoi_marg.Result
QN - Variable in class jline.api.sum.Sum_closed.Result: MxR mean queue lengths
QN - Variable in class jline.api.sum.Sum_closing.Result: MxR mean queue lengths at the original stations
QN - Variable in class jline.io.Ret.pfqnAB: Queue length matrix (M x R)
QN - Variable in class jline.io.Ret.pfqnNcldmx
QN - Variable in class jline.io.Ret.pfqnSchmidt: Queue length matrix (M x R)
QN - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult
QN - Variable in class jline.solvers.ctmc.handlers.Ctmc_avg_from_pi.Result
QN - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
QN - Variable in class jline.solvers.fj.FJFixedPoint.FJOutcome
QN - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
QN - Variable in class jline.solvers.mam.handlers.MetricsResult
QN - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Avg
QN - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
QN - Variable in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer.CftpResult
QN - Variable in class jline.solvers.SolverResult: Mean queue lengths [stations x classes]
QN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
QN - Variable in class jline.solvers.tr.FJTagTransform.Lifted
QN2JAVA - Class in jline.io: Generates the Java (JLINE) source of a method that rebuilds a Network.
QN2JSIMG - Class in jline.io: Writes a LINE Network model to JMT JSIMG format.
QN2JSIMG() - Constructor for class jline.io.QN2JSIMG
QN2JSIMG(NetworkStruct) - Method in class jline.solvers.wrappers.jmt.SolverJMT: Writes queueing network model to JMT JSIMG format.
QN2JSIMG(NetworkStruct, String) - Method in class jline.solvers.wrappers.jmt.SolverJMT: Writes queueing network model to JMT JSIMG format.
QN2LQN - Class in jline.io: Converts a Queueing Network model to a Layered Queueing Network model.
QN2LQN() - Constructor for class jline.io.QN2LQN
QN2MATLAB - Class in jline.io: Generates a MATLAB script that rebuilds a Network with the LINE MATLAB API.
qna_superpos(Matrix, Matrix) - Static method in class jline.solvers.mam.handlers.Qna_superpos
qna_superpos(Matrix, Matrix) - Static method in class jline.solvers.mva.handlers.Solver_qna
Qna_superpos - Class in jline.solvers.mam.handlers: Legacy entry point; the algorithm lives in Da_traffic_superpos.
qnaSchedulingReason(NetworkStruct) - Static method in class jline.solvers.mva.SolverMVA: Refusal reason for QNA's station update, empty when every station has an arm.
QNC() - Constructor for class jline.lang.state.State.StateSpaceGeneratorResult.QNC
QNCI - Variable in class jline.solvers.ldes.LDESResult: Confidence interval half-widths for queue lengths [stations x classes]
QNCI - Variable in class jline.solvers.ssa.SSAResult: Confidence interval half-widths for queue lengths [stations x classes]
QNfcr - Variable in class jline.solvers.SolverResult: FCR mean queue lengths (jobs waiting at ingress) [regions x classes]
QNRelPrec - Variable in class jline.solvers.ldes.LDESResult: Relative precision achieved for queue lengths (CI half-width / mean) [stations x classes]
QNSamples - Variable in class jline.solvers.ldes.LDESResult: Number of samples (observations) used for queue length estimation [stations x classes]
qnsImmfeedRefusal(NetworkStruct) - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: Why the qns methods of SolverLQNS cannot serve a model with immediate feedback, or "" when the model has none.
qnsMethods() - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: The method names on a flat Network: "default" and "qns" leave the multiserver approximation to the default, "qns.NAME" selects NAME.
qnsMultiserver(String) - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: The multiserver approximation a Network method selects: the part after "qns.", or "default" for "default" and "qns".
qnsMultiserverRefusal(NetworkStruct, String) - Static method in class jline.solvers.wrappers.lqns.SolverLQNS: Whether qnsolver's own -m switch offers this multiserver approximation.
QNt - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
QNt - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
QNt - Variable in class jline.solvers.fluid.petri.PetriSolver.Result: Per-station-class trajectories, [station][class][point].
QNt - Variable in class jline.solvers.ln.LNTranAvgResult: Transient queue lengths, block-diagonal [rows][cols]; each cell Tmax x 1 or null.
QNt - Variable in class jline.solvers.SolverResult
Qoi - Variable in class jline.api.pfqn.mva.Pfqn_mvaoi.Result
QPResult - Class in jline.api.mam: Quadratic Programming result containing solution and status.
QPResult(double[], double, boolean) - Constructor for class jline.api.mam.QPResult
Qq - Variable in class jline.api.mapqn.Mapqn_amva.Result
qr() - Method in class jline.util.matrix.Matrix: Performs QR decomposition on the matrix.
qRapRap1(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.qmam.Q_RAP_RAP_1
qRapRap1(Matrix, Matrix, Matrix, Matrix, Q_RAP_RAP_1.RAPRAP1Options) - Static method in class jline.lib.qmam.Q_RAP_RAP_1: Computes queue length distribution for a RAP/RAP/1/FCFS queue.
qrfAlpha - Variable in class jline.solvers.SolverOptions: Load-dependent service rate scaling factors for QRF methods.
qrfParams - Variable in class jline.solvers.SolverOptions: Blocking parameters for the QRF bounds qrf.bas / qrf.rsrd.
QrfParams - Class in jline.solvers: Blocking parameters for the QRF (Quadratic Reduction Framework) bounds qrf.bas and qrf.rsrd.
QrfParams() - Constructor for class jline.solvers.QrfParams
Qse - Variable in class jline.io.Ret.pfqnMcmc: (M x R) batch-means standard error of Q.
qstations - Variable in class jline.solvers.ln.SolverLN.PHLayer: Station indices (1-based) of the server replicas.
QStd - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
qSylvest(ComplexMatrix, ComplexMatrix, Matrix) - Static method in class jline.lib.qmam.Q_Sylvest: Solves the equation X*kron(A,I)+B*X=-I, where kron(A,I)=U*T*U' is given by its complex Schur decomposition (U unitary, T upper triangular).
qsys(double, double) - Constructor for class jline.io.Ret.qsys: Constructs a qsysReturn object.
qsys_bmapm1(Matrix[], double) - Static method in class jline.api.qsys.Qsys_bmapm1: Analyzes a BMAP/M/1 queue with the default uniformization constant and adaptive level truncation.
qsys_bmapm1(Matrix[], double, double, int, double, int, double) - Static method in class jline.api.qsys.Qsys_bmapm1: Analyzes a BMAP/M/1 queue.
Qsys_bmapm1 - Class in jline.api.qsys: Analyzes a BMAP/M/1 queue by the matrix-analytic (M/G/1-type) method.
qsys_bmapphnn_retrial(Matrix[], Matrix, Matrix, int, double, double, double, int) - Static method in class jline.api.qsys.Qsys_bmapphnn_retrial
qsys_bmapphnn_retrial(Matrix[], Matrix, Matrix, int, double, double, double, int[]) - Static method in class jline.api.qsys.Qsys_bmapphnn_retrial
qsys_bmapphnn_retrial(Matrix[], Matrix, Matrix, int, double, double, double, int[], int) - Static method in class jline.api.qsys.Qsys_bmapphnn_retrial
qsys_bmapphnn_retrial(Matrix[], Matrix, Matrix, int, double, double, double, int[], int, double, boolean) - Static method in class jline.api.qsys.Qsys_bmapphnn_retrial
qsys_bmapphnn_retrial(Matrix[], Matrix, Matrix, int, double, double, double, int[], int, double, boolean, double, double, int) - Static method in class jline.api.qsys.Qsys_bmapphnn_retrial: Analyzes a BMAP/PH/N/N bufferless retrial queue with admission control.
qsys_bmapphnn_retrial(Matrix[], Matrix, Matrix, int, double, double, double, int[], int, double, boolean, double, double, int, int) - Static method in class jline.api.qsys.Qsys_bmapphnn_retrial: As above, with an explicit retrial policy.
qsys_bmapphnn_retrial(Matrix[], Matrix, Matrix, int, double, double, double, int, int) - Static method in class jline.api.qsys.Qsys_bmapphnn_retrial
qsys_bmapphnn_retrial(Matrix[], Matrix, Matrix, int, double, double, double, int, int, double, boolean) - Static method in class jline.api.qsys.Qsys_bmapphnn_retrial
qsys_bmapphnn_retrial(Matrix[], Matrix, Matrix, int, double, double, double, int, int, double, boolean, double, double, int) - Static method in class jline.api.qsys.Qsys_bmapphnn_retrial
qsys_bmapphnn_retrial(Matrix[], Matrix, Matrix, int, double, double, double, int, int, double, boolean, double, double, int, int) - Static method in class jline.api.qsys.Qsys_bmapphnn_retrial: As above with a scalar admission threshold and an explicit retrial policy.
Qsys_bmapphnn_retrial - Class in jline.api.qsys
qsys_dmc(double, double, int) - Static method in class jline.api.qsys.Qsys_dmc
qsys_dmc(double, double, int, int) - Static method in class jline.api.qsys.Qsys_dmc
qsys_dmc(double, double, int, int, int) - Static method in class jline.api.qsys.Qsys_dmc
Qsys_dmc - Class in jline.api.qsys
qsys_erlanga(double, double, double, int) - Static method in class jline.api.qsys.Qsys_erlanga: Erlang A with an infinite waiting room.
qsys_erlanga(double, double, double, int, double) - Static method in class jline.api.qsys.Qsys_erlanga: Erlang A with r extra waiting spaces, so an arrival finding s+r customers is blocked and lost.
qsys_erlanga(double, double, double, int, double, double[]) - Static method in class jline.api.qsys.Qsys_erlanga: Erlang A, with the waiting-time cdfs when times are supplied.
Qsys_erlanga - Class in jline.api.qsys: Exact analysis of the Erlang A model M/M/s/r+M.
qsys_gg1(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gg1: G/G/1 queue analysis (general arrivals and service).
qsys_gg1(double, double, double, double, int) - Static method in class jline.api.qsys.Qsys_gg1: G/G/1 with state probability for k.
Qsys_gg1 - Class in jline.api.qsys
qsys_ggingi_tga(double, double, int, double, double, DoubleUnaryOperator) - Static method in class jline.api.qsys.Qsys_ggingi_tga
qsys_ggingi_tga(double, double, int, double, double, DoubleUnaryOperator, DoubleUnaryOperator, DoubleUnaryOperator) - Static method in class jline.api.qsys.Qsys_ggingi_tga
Qsys_ggingi_tga - Class in jline.api.qsys: Truncated Gaussian approximation (TGA-G) for the G/GI/n+GI queue.
qsys_ggisgi_fluid(double, double, int, DoubleUnaryOperator) - Static method in class jline.api.qsys.Qsys_ggisgi_fluid: Steady state with the exponential service ccdf implied by mu.
qsys_ggisgi_fluid(double, double, int, DoubleUnaryOperator, DoubleUnaryOperator, double[], double, double) - Static method in class jline.api.qsys.Qsys_ggisgi_fluid: Steady state, optionally with the two age densities.
Qsys_ggisgi_fluid - Class in jline.api.qsys: Steady state of the G/GI/s+GI fluid model.
qsys_ggnm_diffusion(double, double, int, double, double, double) - Static method in class jline.api.qsys.Qsys_ggnm_diffusion: The queue with exponential service.
qsys_ggnm_diffusion(double, double, int, double, double, double, DoubleUnaryOperator, double, int) - Static method in class jline.api.qsys.Qsys_ggnm_diffusion
Qsys_ggnm_diffusion - Class in jline.api.qsys: Diffusion approximation for the G/GI/n/m queue.
qsys_gig1_approx_allencunneen(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_approx_allencunneen: Analyzes a G/G/1 queueing system using the Allen-Cunneen approximation.
Qsys_gig1_approx_allencunneen - Class in jline.api.qsys
qsys_gig1_approx_gelenbe(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_approx_gelenbe: G/G/1 queue approximation using Gelenbe's diffusion method with instantaneous-return boundary: p(0)=1-rho, p(n)=rho*(1-rhat)*rhat^(n-1) with rhat=exp(-2*(1-rho)/(rho*ca2+cs2)), hence E[N]=rho/(1-rhat) and the mean response time (time in system) is W=E[N]/lambda=1/(mu*(1-rhat)).
Qsys_gig1_approx_gelenbe - Class in jline.api.qsys
qsys_gig1_approx_heyman(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_approx_heyman: Analyzes a G/G/1 queueing system using Heyman's approximation.
Qsys_gig1_approx_heyman - Class in jline.api.qsys
qsys_gig1_approx_kimura(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_approx_kimura: G/G/1 queue approximation using Kimura's diffusion-interpolation method: Wq = rho*(ca2+cs2)/(mu*(1-rho)*(1+ca2)), exact for M/M/1 and M/G/1.
Qsys_gig1_approx_kimura - Class in jline.api.qsys
qsys_gig1_approx_klb(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_approx_klb: Analyzes a G/G/1 queueing system using the Kramer-Langenbach-Belz (KLB) approximation.
Qsys_gig1_approx_klb - Class in jline.api.qsys
qsys_gig1_approx_kobayashi(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_approx_kobayashi: Analyzes a G/G/1 queueing system using Kobayashi's approximation.
Qsys_gig1_approx_kobayashi - Class in jline.api.qsys
qsys_gig1_approx_marchal(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_approx_marchal: Analyzes a G/G/1 queueing system using Marchal's approximation.
Qsys_gig1_approx_marchal - Class in jline.api.qsys
qsys_gig1_approx_myskja(double, double, double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_approx_myskja: G/G/1 queue approximation using Myskja's third-moment method: Wq = rho/(2*mu*(1-rho))*((1+cs2)+(q0/qa)^(1/rho-rho)*(1/rho)*(ca2-1)), exact for M/G/1 (ca2=1).
Qsys_gig1_approx_myskja - Class in jline.api.qsys
qsys_gig1_approx_myskja2(double, double, double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_approx_myskja2: G/G/1 queue approximation using Myskja's enhanced third-moment method, returning the mean response time (time in system).
Qsys_gig1_approx_myskja2 - Class in jline.api.qsys
qsys_gig1_bnds_extremal(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_bnds_extremal: Every bound at the default truncations.
qsys_gig1_bnds_extremal(double, double, double, double, int, int, boolean) - Static method in class jline.api.qsys.Qsys_gig1_bnds_extremal
Qsys_gig1_bnds_extremal - Class in jline.api.qsys: Extremal two-moment bounds for the GI/GI/1 queue.
qsys_gig1_lbnd(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_lbnd: G/G/1 queue lower bounds.
Qsys_gig1_lbnd - Class in jline.api.qsys
qsys_gig1_rq(double, double, double, DoubleUnaryOperator) - Static method in class jline.api.qsys.Qsys_gig1_rq: Robust Queueing (RQ) approximation for a single G/GI/1 queue.
Qsys_gig1_rq - Class in jline.api.qsys
qsys_gig1_rqt(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_rqt: Worst-case system time with the finite-variance tail coefficients alpha_a = alpha_s = 2.
qsys_gig1_rqt(double, double, double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_rqt: Robust Queueing Theory worst-case system time of a G/G/1 FCFS queue.
Qsys_gig1_rqt - Class in jline.api.qsys
qsys_gig1_ubnd_kingman(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_ubnd_kingman: Kingman's upper bound on the mean waiting time of a G/G/1 queue: Wq <= lambda*(sa^2+ss^2)/(2*(1-rho)), with sa^2=ca^2/lambda^2 and ss^2=cs^2/mu^2.
Qsys_gig1_ubnd_kingman - Class in jline.api.qsys
qsys_gigk_approx(double, double, double, double, int) - Static method in class jline.api.qsys.Qsys_gigk_approx: Analyzes a G/G/k queueing system using an approximation method.
Qsys_gigk_approx - Class in jline.api.qsys
qsys_gigk_approx_cosmetatos(double, double, double, double, int) - Static method in class jline.api.qsys.Qsys_gigk_approx_cosmetatos: GI/G/k approximation by interpolation of the M/M/k, M/D/k and D/M/k queues (Cosmetatos 1982; Page 1982): Wq = [ca2*cs2 + ca2*(1-cs2)*phi1/2 + (1-ca2)*cs2*phi3/2]*Wq(M/M/k), where phi1 and phi3 are the Cosmetatos (1975) correction factors for M/D/k and D/M/k, with the safeguards of Whitt (1993).
Qsys_gigk_approx_cosmetatos - Class in jline.api.qsys
qsys_gigk_approx_kingman(double, double, double, double, int) - Static method in class jline.api.qsys.Qsys_gigk_approx_kingman: Analyzes a G/G/k queueing system using Kingman's approximation.
Qsys_gigk_approx_kingman - Class in jline.api.qsys
qsys_gigk_approx_whitt(double, double, double, double, int) - Static method in class jline.api.qsys.Qsys_gigk_approx_whitt: GI/G/k approximation of Whitt (1993), eqs.
Qsys_gigk_approx_whitt - Class in jline.api.qsys
qsys_gigk_rqt(double, double, double, double, int, double, double) - Static method in class jline.api.qsys.Qsys_gigk_rqt: Robust Queueing Theory worst-case system time of a G/G/k FCFS queue.
Qsys_gigk_rqt - Class in jline.api.qsys
qsys_gigk_rqt_gamma(double, double, double, double, int) - Static method in class jline.api.qsys.Qsys_gigk_rqt_gamma: Service variability parameter under the service-distribution-independent regime and the finite-variance tail coefficient alpha = 2.
qsys_gigk_rqt_gamma(double, double, double, double, int, double, String) - Static method in class jline.api.qsys.Qsys_gigk_rqt_gamma: Service variability parameter of the RQT framework, obtained from the first two moments by the adaptation of Section 7.1, Gamma_s = (2 (theta0 + theta1 sigma_s^2/k + theta2 Gamma_a^2 rho^2 k))^((a-1)/a) - Gamma_a k^((a-1)/a), where (theta0,theta1,theta2) are regressed so that the worst-case system time of Theorem 3 approximates the MEAN system time of the corresponding stochastic queue.
Qsys_gigk_rqt_gamma - Class in jline.api.qsys
qsys_gm1(double, double) - Static method in class jline.api.qsys.Qsys_gm1: Analyzes a G/M/1 queueing system.
Qsys_gm1 - Class in jline.api.qsys: G/M/1 Queueing System Analysis.
qsys_gtmtst_fluid(DoubleUnaryOperator, DoubleUnaryOperator, DoubleUnaryOperator, DoubleUnaryOperator, double) - Static method in class jline.api.qsys.Qsys_gtmtst_fluid: The fluid queue started empty, on a grid of T/2000.
qsys_gtmtst_fluid(DoubleUnaryOperator, DoubleUnaryOperator, DoubleUnaryOperator, DoubleUnaryOperator, double, double, double, double, DoubleUnaryOperator, DoubleUnaryOperator, DoubleUnaryOperator) - Static method in class jline.api.qsys.Qsys_gtmtst_fluid
Qsys_gtmtst_fluid - Class in jline.api.qsys: The Gt/Mt/st+GI many-server fluid queue.
qsys_hh1_lindley(double[], double[], double[], double[], double[]) - Static method in class jline.api.qsys.Qsys_hh1_lindley: Conditional mean and variance of the next waiting time.
qsys_hh1_lindley(double[], double[], double[], double[], double[], int) - Static method in class jline.api.qsys.Qsys_hh1_lindley: Conditional raw moments of the next waiting time.
Qsys_hh1_lindley - Class in jline.api.qsys: Conditional waiting-time moments of the Hl/Hn/1 Lindley recursion.
qsys_is_retrial(NetworkStruct) - Static method in class jline.api.qsys.Qsys_is_retrial: Checks if network is a valid BMAP/PH/N/N bufferless retrial queue.
Qsys_is_retrial - Class in jline.api.qsys
qsys_ldps_workload(double, Distribution, double[], int) - Static method in class jline.api.qsys.Qsys_ldps_workload: Convenience overload using the default grid and quadrature resolution.
qsys_ldps_workload(double, Distribution, double[], int, double[], int) - Static method in class jline.api.qsys.Qsys_ldps_workload: Stationary distribution of the quantity of work in a single-stage load-dependent processor sharing station with Poisson arrivals and blocking.
Qsys_ldps_workload - Class in jline.api.qsys
qsys_mapd1(MatrixCell, double) - Static method in class jline.api.qsys.Qsys_mapd1: Simplified MAP/D/1 analysis using MatrixCell input for arrival.
qsys_mapd1(Matrix, Matrix, double) - Static method in class jline.api.qsys.Qsys_mapd1
qsys_mapd1(Matrix, Matrix, double, int) - Static method in class jline.api.qsys.Qsys_mapd1
qsys_mapd1(Matrix, Matrix, double, int, int) - Static method in class jline.api.qsys.Qsys_mapd1: Analyzes a MAP/D/1 queue (single server with deterministic service).
Qsys_mapd1 - Class in jline.api.qsys
qsys_mapdc(MatrixCell, double, int) - Static method in class jline.api.qsys.Qsys_mapdc: Simplified MAP/D/c analysis using MatrixCell input for arrival.
qsys_mapdc(Matrix, Matrix, double, int) - Static method in class jline.api.qsys.Qsys_mapdc
qsys_mapdc(Matrix, Matrix, double, int, int) - Static method in class jline.api.qsys.Qsys_mapdc
qsys_mapdc(Matrix, Matrix, double, int, int, int) - Static method in class jline.api.qsys.Qsys_mapdc
qsys_mapdc(Matrix, Matrix, double, int, int, int, int) - Static method in class jline.api.qsys.Qsys_mapdc: Analyzes a MAP/D/c queue (multi-server with deterministic service).
Qsys_mapdc - Class in jline.api.qsys
qsys_mapg1(MatrixCell, double[]) - Static method in class jline.api.qsys.Qsys_mapg1: Analyzes a MAP/G/1 queue using MatrixCell input for arrival.
qsys_mapg1(Matrix, Matrix, double[]) - Static method in class jline.api.qsys.Qsys_mapg1
qsys_mapg1(Matrix, Matrix, double[], int) - Static method in class jline.api.qsys.Qsys_mapg1
qsys_mapg1(Matrix, Matrix, double[], int, int) - Static method in class jline.api.qsys.Qsys_mapg1
qsys_mapg1(Matrix, Matrix, double[], int, int, int) - Static method in class jline.api.qsys.Qsys_mapg1: Analyzes a MAP/G/1 queue.
qsys_mapg1(Matrix, Matrix, double, double) - Static method in class jline.api.qsys.Qsys_mapg1: Analyzes a MAP/G/1 queue with service time specified as mean and CV.
Qsys_mapg1 - Class in jline.api.qsys
qsys_mapg1k(Matrix, Matrix, QsysServiceLaw, int) - Static method in class jline.api.qsys.Qsys_mapg1k: qsys_mapg1k with the reference defaults tol = 1e-12, nmax = 200000.
qsys_mapg1k(Matrix, Matrix, QsysServiceLaw, int, double, int) - Static method in class jline.api.qsys.Qsys_mapg1k: MAP/G/1/K with tail drop.
Qsys_mapg1k - Class in jline.api.qsys: The MAP/G/1/K queue with tail drop: Markovian arrivals, an arbitrary service law F, and a buffer of K packets counting the one in transmission.
qsys_mapg1k_perflow(List<MatrixCell>, QsysServiceLaw, int) - Static method in class jline.api.qsys.Qsys_mapg1k_perflow: qsys_mapg1k_perflow with the reference defaults tol = 1e-12, nmax = 200000.
qsys_mapg1k_perflow(List<MatrixCell>, QsysServiceLaw, int, double, int) - Static method in class jline.api.qsys.Qsys_mapg1k_perflow: Per-flow analysis of a MAP-superposition FIFO buffer.
Qsys_mapg1k_perflow - Class in jline.api.qsys: Per-flow throughput and loss ratio of a FIFO buffer with tail drop fed by N flows of arbitrary and mutually different statistical character.
qsys_mapm1(MatrixCell, double) - Static method in class jline.api.qsys.Qsys_mapm1: Simplified MAP/M/1 analysis using MatrixCell input for arrival.
qsys_mapm1(Matrix, Matrix, double) - Static method in class jline.api.qsys.Qsys_mapm1
qsys_mapm1(Matrix, Matrix, double, int) - Static method in class jline.api.qsys.Qsys_mapm1: Analyzes a MAP/M/1 queue (single server with exponential service).
Qsys_mapm1 - Class in jline.api.qsys
qsys_mapmap1(MatrixCell, MatrixCell) - Static method in class jline.api.qsys.Qsys_mapmap1: Simplified MAP/MAP/1 analysis using MatrixCell inputs.
qsys_mapmap1(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.qsys.Qsys_mapmap1
qsys_mapmap1(Matrix, Matrix, Matrix, Matrix, int, int, int) - Static method in class jline.api.qsys.Qsys_mapmap1: Analyzes a MAP/MAP/1 queue.
Qsys_mapmap1 - Class in jline.api.qsys
qsys_mapmc(MatrixCell, double, int) - Static method in class jline.api.qsys.Qsys_mapmc
qsys_mapmc(Matrix, Matrix, double, int) - Static method in class jline.api.qsys.Qsys_mapmc
qsys_mapmc(Matrix, Matrix, double, int, String, int) - Static method in class jline.api.qsys.Qsys_mapmc
qsys_mapmc(Matrix, Matrix, double, int, String, int, int) - Static method in class jline.api.qsys.Qsys_mapmc: Analyzes a MAP/M/c queue (multi-server with exponential service).
Qsys_mapmc - Class in jline.api.qsys
qsys_mapph1(MatrixCell, MatrixCell) - Static method in class jline.api.qsys.Qsys_mapph1: Simplified MAP/PH/1 analysis using MatrixCell inputs.
qsys_mapph1(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.qsys.Qsys_mapph1
qsys_mapph1(Matrix, Matrix, Matrix, Matrix, int) - Static method in class jline.api.qsys.Qsys_mapph1
qsys_mapph1(Matrix, Matrix, Matrix, Matrix, int, int) - Static method in class jline.api.qsys.Qsys_mapph1
qsys_mapph1(Matrix, Matrix, Matrix, Matrix, int, int, int) - Static method in class jline.api.qsys.Qsys_mapph1: Analyzes a MAP/PH/1 queue.
Qsys_mapph1 - Class in jline.api.qsys
qsys_mapphc(Matrix, Matrix, Matrix, Matrix, int) - Static method in class jline.api.qsys.Qsys_mapphc
qsys_mapphc(Matrix, Matrix, Matrix, Matrix, int, int, int, Matrix) - Static method in class jline.api.qsys.Qsys_mapphc
Qsys_mapphc - Class in jline.api.qsys: The MAP/PH/c FCFS queue, solved exactly.
qsys_maxima_twomoment(int, double, double) - Static method in class jline.api.qsys.Qsys_maxima_twomoment: The mean of the maximum.
qsys_maxima_twomoment(int, double, double, double, boolean) - Static method in class jline.api.qsys.Qsys_maxima_twomoment
Qsys_maxima_twomoment - Class in jline.api.qsys: Two-moment approximation for the maximum of n iid non-negative variables.
qsys_mdc_crommelin(double, double, int) - Static method in class jline.api.qsys.Qsys_mdc_crommelin
qsys_mdc_crommelin(double, double, int, int) - Static method in class jline.api.qsys.Qsys_mdc_crommelin: Solve M/D/c via the Crommelin embedded DTMC.
Qsys_mdc_crommelin - Class in jline.api.qsys
qsys_mg1(double, double, double) - Static method in class jline.api.qsys.Qsys_mg1: Analyzes an M/G/1 queueing system.
Qsys_mg1 - Class in jline.api.qsys
qsys_mg1_fb(Matrix, Matrix, Matrix) - Static method in class jline.api.qsys.Qsys_mg1_fb: Analyzes an M/G/1 queueing system with FB (Feedback/LAS) scheduling.
Qsys_mg1_fb - Class in jline.api.qsys
qsys_mg1_lrpt(Matrix, Matrix, Matrix) - Static method in class jline.api.qsys.Qsys_mg1_lrpt: Analyzes an M/G/1 queueing system with LRPT (Longest Remaining Processing Time) scheduling.
Qsys_mg1_lrpt - Class in jline.api.qsys
qsys_mg1_prio(Matrix, Matrix, Matrix) - Static method in class jline.api.qsys.Qsys_mg1_prio: Analyzes an M/G/1 queueing system with non-preemptive (Head-of-Line) priorities.
Qsys_mg1_prio - Class in jline.api.qsys
qsys_mg1_ps(double, double[], double[][], double[], double[], double[], int) - Static method in class jline.api.qsys.Qsys_mg1_ps: Sojourn time distribution with phase-type service PH(alpha,T).
qsys_mg1_ps(double, Qsys_mg1_ps.ServiceLST, double, double[], double[], int, Qsys_mg1_ps.ServicePDF) - Static method in class jline.api.qsys.Qsys_mg1_ps: Sojourn time distribution with the service law given by its transform.
Qsys_mg1_ps - Class in jline.api.qsys: Sojourn time distribution of the M/G/1 processor-sharing queue.
Qsys_mg1_ps.ServiceLST - Interface in jline.api.qsys: Service Laplace-Stieltjes transform, which must accept complex arguments.
Qsys_mg1_ps.ServicePDF - Interface in jline.api.qsys: Service density.
qsys_mg1_psjf(Matrix, Matrix, Matrix) - Static method in class jline.api.qsys.Qsys_mg1_psjf: Analyzes an M/G/1 queueing system with PSJF (Preemptive Shortest Job First) scheduling.
Qsys_mg1_psjf - Class in jline.api.qsys
qsys_mg1_setf(Matrix, Matrix, Matrix) - Static method in class jline.api.qsys.Qsys_mg1_setf: Analyzes an M/G/1 queueing system with SETF (non-preemptive FB) scheduling.
Qsys_mg1_setf - Class in jline.api.qsys
qsys_mg1_srpt(Matrix, Matrix, Matrix) - Static method in class jline.api.qsys.Qsys_mg1_srpt
Qsys_mg1_srpt - Class in jline.api.qsys: Analyzes an M/G/1 queue with SRPT (Shortest Remaining Processing Time) scheduling using the Schrage-Miller class-conditional response-time formula.
qsys_mg1k_loss(double, DoubleUnaryOperator, int) - Static method in class jline.api.qsys.Qsys_mg1k_loss: Exact M/G/1/K loss probability via the Markov chain embedded at service-start epochs (transform-free analysis in the spirit of Niu-Cooper).
Qsys_mg1k_loss - Class in jline.api.qsys
qsys_mg1k_loss_mgs(double, double, double, int) - Static method in class jline.api.qsys.Qsys_mg1k_loss_mgs: M/G/1/K loss probability using MacGregor Smith approximation.
Qsys_mg1k_loss_mgs - Class in jline.api.qsys
qsys_mginf(double, double, double) - Static method in class jline.api.qsys.Qsys_mginf: M/G/inf queue analysis (infinite servers).
qsys_mginf(double, double, double, int) - Static method in class jline.api.qsys.Qsys_mginf: M/G/inf queue analysis with state probability.
Qsys_mginf - Class in jline.api.qsys
qsys_mgisrgi_whitt(double, double, int, double, Patience) - Static method in class jline.api.qsys.Qsys_mgisrgi_whitt: Steady-state measures with no waiting-time cdfs and the default truncation.
qsys_mgisrgi_whitt(double, double, int, double, Patience, double[], int, double, String, int) - Static method in class jline.api.qsys.Qsys_mgisrgi_whitt: Steady-state measures, with the waiting-time cdfs when times are supplied.
Qsys_mgisrgi_whitt - Class in jline.api.qsys: Engineering solution of the call-center model M/GI/s/r+GI.
qsys_mm1(double, double) - Static method in class jline.api.qsys.Qsys_mm1: Analyzes an M/M/1 queueing system.
Qsys_mm1 - Class in jline.api.qsys: M/M/1 queueing system analysis.
qsys_mm1_dps(Matrix, Matrix, Matrix) - Static method in class jline.api.qsys.Qsys_mm1_dps: Solves the M/M/1-DPS queue exactly on a truncated state space.
Qsys_mm1_dps - Class in jline.api.qsys
qsys_mm1_lindley(double, double, double[]) - Static method in class jline.api.qsys.Qsys_mm1_lindley: Conditional mean and variance of the next waiting time.
qsys_mm1_lindley(double, double, double[], int) - Static method in class jline.api.qsys.Qsys_mm1_lindley: Conditional raw moments of the next waiting time.
Qsys_mm1_lindley - Class in jline.api.qsys: Conditional waiting-time moments of the M/M/1 Lindley recursion.
qsys_mm1_ps(double[], double[]) - Static method in class jline.api.qsys.Qsys_mm1_ps: Sojourn-time moments of the multiclass M/M/1-PS queue.
Qsys_mm1_ps - Class in jline.api.qsys: Exact sojourn-time moments of the multiclass M/M/1-PS queue.
qsys_mm1_tandem_lindley(double, double, double, double[], double[]) - Static method in class jline.api.qsys.Qsys_mm1_tandem_lindley: Conditional downstream mean at several pairs of current waiting times.
qsys_mm1_tandem_lindley(double, double, double, double, double) - Static method in class jline.api.qsys.Qsys_mm1_tandem_lindley: Conditional downstream mean at a single pair of current waiting times.
Qsys_mm1_tandem_lindley - Class in jline.api.qsys: Conditional downstream waiting time in an M/M/1 tandem.
qsys_mm1k_loss(double, double, int) - Static method in class jline.api.qsys.Qsys_mm1k_loss: M/M/1/K loss probability calculation.
Qsys_mm1k_loss - Class in jline.api.qsys
qsys_mmapg1k(Matrix, List<Matrix>, QsysServiceLaw, int) - Static method in class jline.api.qsys.Qsys_mmapg1k: qsys_mmapg1k with the reference defaults tol = 1e-12, nmax = 200000.
qsys_mmapg1k(Matrix, List<Matrix>, QsysServiceLaw, int, double, int) - Static method in class jline.api.qsys.Qsys_mmapg1k: MMAP[K]/G/1/K with tail drop.
Qsys_mmapg1k - Class in jline.api.qsys: Exact per-class throughput and loss ratio of an MMAP[K]/G/1/K queue with tail drop: marked Markovian arrivals, an arbitrary service law F common to all classes, and a buffer of K packets counting the one in transmission.
qsys_mmapgk1(MatrixCell, List<Distribution>) - Static method in class jline.api.qsys.Qsys_mmapgk1
qsys_mmapgk1(MatrixCell, List<Distribution>, Matrix, int, double, int) - Static method in class jline.api.qsys.Qsys_mmapgk1
Qsys_mmapgk1 - Class in jline.api.qsys: The MMAP[K]/G[K]/1 FCFS queue: K customer types with class-dependent GENERAL service, fed by a marked Markovian arrival process.
qsys_mmcc_retrial_fp(double, double, int) - Static method in class jline.api.qsys.Qsys_mmcc_retrial_fp: The fixed point at the reference defaults tol = 1e-10, maxiter = 10000.
qsys_mmcc_retrial_fp(double, double, int, double, int) - Static method in class jline.api.qsys.Qsys_mmcc_retrial_fp: The retrial fixed point.
Qsys_mmcc_retrial_fp - Class in jline.api.qsys: Fixed-point approximation for the M/M/c/c retrial queue.
Qsys_mmcc_retrial_fp.Result - Class in jline.api.qsys: Blocking probability, orbit-induced rate and iteration count.
qsys_mmck(double, double, int, int) - Static method in class jline.api.qsys.Qsys_mmck: Analyzes an M/M/c/K queueing system exactly.
Qsys_mmck - Class in jline.api.qsys
Qsys_mmck.Result - Class in jline.api.qsys: Result container for the M/M/c/K metrics.
qsys_mmk(double, double, int) - Static method in class jline.api.qsys.Qsys_mmk: Analyzes an M/M/k queueing system.
Qsys_mmk - Class in jline.api.qsys
qsys_mmk_qed(double, double, int) - Static method in class jline.api.qsys.Qsys_mmk_qed: QED approximation for the M/M/s queue.
Qsys_mmk_qed - Class in jline.api.qsys: Halfin-Whitt QED approximation for the M/M/s queue, and the square-root staffing rule that inverts it.
qsys_mmk_qed_alpha(double) - Static method in class jline.api.qsys.Qsys_mmk_qed: The Halfin-Whitt delay-probability function alpha(beta).
qsys_mmk_qed_erlangc(int, double, double) - Static method in class jline.api.qsys.Qsys_mmk_qed: Erlang C by the recursion B_j = a B_(j-1)/(j + a B_(j-1)) on the Erlang B blocking probability, which never forms a^j/j! and so never overflows.
qsys_mmk_qed_staffing(double, double, double) - Static method in class jline.api.qsys.Qsys_mmk_qed: Square-root staffing for a delay-probability target.
qsys_mmk_qed_staffing(double, double, double, String, double, double, boolean) - Static method in class jline.api.qsys.Qsys_mmk_qed: Square-root staffing under one of the three criteria.
qsys_mtginf(DoubleUnaryOperator, DoubleUnaryOperator, double, double[]) - Static method in class jline.api.qsys.Qsys_mtginf: The queue with an infinite past and the departure rate by flow balance.
qsys_mtginf(DoubleUnaryOperator, DoubleUnaryOperator, double, double[], double, double, DoubleUnaryOperator, double, int, double) - Static method in class jline.api.qsys.Qsys_mtginf
Qsys_mtginf - Class in jline.api.qsys: Exact time-varying analysis of the Mt/G/infinity queue.
qsys_mtgs0_mol(DoubleUnaryOperator, DoubleUnaryOperator, double, int, double[], double, boolean) - Static method in class jline.api.qsys.Qsys_mtgs0_mol
Qsys_mtgs0_mol - Class in jline.api.qsys: Modified-offered-load and pointwise-stationary approximations for a time-varying multiserver system.
qsys_mxm1(double, double, double, double) - Static method in class jline.api.qsys.Qsys_mxm1: Analyzes an MX/M/1 queueing system using batch arrival moments.
qsys_mxm1(double, double, int[], double[]) - Static method in class jline.api.qsys.Qsys_mxm1: Analyzes an MX/M/1 queueing system using batch sizes and PMF.
Qsys_mxm1 - Class in jline.api.qsys
qsys_mxm1_var(double, double, double, double) - Static method in class jline.api.qsys.Qsys_mxm1: Analyzes an MX/M/1 queueing system using mean and variance of batch size.
qsys_phdc(Matrix, Matrix, double, int) - Static method in class jline.api.qsys.Qsys_mapdc: Analyzes a PH/D/c queue.
qsys_phm1(double[], double[][], double) - Static method in class jline.api.qsys.Qsys_phm1
qsys_phm1(double[], double[][], double, double) - Static method in class jline.api.qsys.Qsys_phm1
qsys_phm1(double[], double[][], double, double, int) - Static method in class jline.api.qsys.Qsys_phm1
qsys_phm1(Matrix, Matrix, double) - Static method in class jline.api.qsys.Qsys_phph1: Analyzes a PH/PH/1 queue with exponential service (simplified E/M/1).
Qsys_phm1 - Class in jline.api.qsys
qsys_phmc(double[], double[][], double, int) - Static method in class jline.api.qsys.Qsys_phmc
qsys_phmc(double[], double[][], double, int, int) - Static method in class jline.api.qsys.Qsys_phmc
qsys_phmc(double[], double[][], double, int, int, double) - Static method in class jline.api.qsys.Qsys_phmc
qsys_phmc(Matrix, Matrix, double, int) - Static method in class jline.api.qsys.Qsys_mapmc: Analyzes a PH/M/c queue.
Qsys_phmc - Class in jline.api.qsys
qsys_phph1(MatrixCell, MatrixCell) - Static method in class jline.api.qsys.Qsys_phph1: Simplified PH/PH/1 analysis using MatrixCell inputs.
qsys_phph1(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.qsys.Qsys_phph1
qsys_phph1(Matrix, Matrix, Matrix, Matrix, int) - Static method in class jline.api.qsys.Qsys_phph1
qsys_phph1(Matrix, Matrix, Matrix, Matrix, int, int) - Static method in class jline.api.qsys.Qsys_phph1
qsys_phph1(Matrix, Matrix, Matrix, Matrix, int, int, int) - Static method in class jline.api.qsys.Qsys_phph1: Analyzes a PH/PH/1 queue.
Qsys_phph1 - Class in jline.api.qsys
qsys_prio(Matrix, double) - Constructor for class jline.io.Ret.qsys_prio: Constructs a qsys_prio return object.
qsys_tandem_lindley(double[], double[][]) - Static method in class jline.api.qsys.Qsys_tandem_lindley: Propagates the waiting times from an empty network.
qsys_tandem_lindley(double[], double[][], double[]) - Static method in class jline.api.qsys.Qsys_tandem_lindley: Propagates the waiting times from a given initial state.
Qsys_tandem_lindley - Class in jline.api.qsys: Tandem network Lindley recursion on a sample path.
qsys_tandem_ub_ciucu(double[], DoubleUnaryOperator, double[], double[]) - Static method in class jline.api.qsys.Qsys_tandem_ub_ciucu: Bounds with the derivative of the transform obtained numerically.
qsys_tandem_ub_ciucu(double[], DoubleUnaryOperator, double[], double[], DoubleUnaryOperator) - Static method in class jline.api.qsys.Qsys_tandem_ub_ciucu: Bounds with an analytic derivative of the transform.
Qsys_tandem_ub_ciucu - Class in jline.api.qsys: Tail bounds for a GI/Hn/1 -> ./Hn/1 tandem of two FCFS single servers.
QsysAbandonResult - Class in jline.api.qsys: Steady-state measures of a multiserver queue with customer abandonment, as produced by Qsys_mgisrgi_whitt and Qsys_erlanga.
QsysAbandonResult(double[], double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double[], double[], int, boolean, double, double[], double[], double[], double[]) - Constructor for class jline.api.qsys.QsysAbandonResult
QsysBmapM1Result - Class in jline.api.qsys: Result of the matrix-analytic (M/G/1-type) analysis of a BMAP/M/1 queue.
QsysBmapM1Result(Matrix, double, double, double, Matrix, Matrix, Matrix, Matrix[], Matrix, Matrix, Matrix, double, double, Matrix, double, double, double, double, int, double, String) - Constructor for class jline.api.qsys.QsysBmapM1Result
QsysFluidAbandonResult - Class in jline.api.qsys: Steady state of the G/GI/s+GI fluid model, as produced by Qsys_ggisgi_fluid.
QsysFluidAbandonResult(String, double, double, double, double, double, double, double, double, double, double, double, double, double[], double[], double[]) - Constructor for class jline.api.qsys.QsysFluidAbandonResult
QsysLimitAnalyzer - Class in jline.solvers.fluid.analyzers: The single-station fluid limits: a Source -> Queue -> Sink model with one class, answered by a closed-form fluid or Gaussian limit rather than by integrating the network drift.
QsysLimitAnalyzer(String) - Constructor for class jline.solvers.fluid.analyzers.QsysLimitAnalyzer
QsysLindleyMoment - Class in jline.api.qsys: One conditional Lindley moment for exponential primitives.
QsysLindleyResult - Class in jline.api.qsys: Conditional waiting-time moments of one Lindley step.
QsysLindleyResult(double[], double[], double[][], int) - Constructor for class jline.api.qsys.QsysLindleyResult
QsysMapDcResult - Class in jline.api.qsys: Result of MAP/D/c queue analysis.
QsysMapDcResult(double, double, double, double, Matrix, Matrix, String) - Constructor for class jline.api.qsys.QsysMapDcResult
QsysMapG1kPerflowResult - Class in jline.api.qsys: Return value of Qsys_mapg1k_perflow, mirroring the MATLAB result struct of qsys_mapg1k_perflow.m.
QsysMapG1kPerflowResult() - Constructor for class jline.api.qsys.QsysMapG1kPerflowResult
QsysMapG1kResult - Class in jline.api.qsys: Return value of Qsys_mapg1k, mirroring the MATLAB result struct of qsys_mapg1k.m field for field.
QsysMapG1kResult() - Constructor for class jline.api.qsys.QsysMapG1kResult
QsysMapPhcResult - Class in jline.api.qsys: Return value of qsys_mapphc, mirroring the MATLAB struct.
QsysMapPhcResult(double, double, double, double, Matrix, Matrix, Matrix, Matrix, double, int, String) - Constructor for class jline.api.qsys.QsysMapPhcResult
QsysMapPhResult - Class in jline.api.qsys: Result of MAP/PH type queue analysis.
QsysMapPhResult(double, double, double, double, Matrix, Matrix, Matrix, String) - Constructor for class jline.api.qsys.QsysMapPhResult
QsysMg1PsResult - Class in jline.api.qsys: Result of Qsys_mg1_ps.qsys_mg1_ps(double, double[], double[][], double[], double[], double[], int): the sojourn time distribution of the M/G/1 processor-sharing queue.
QsysMg1PsResult() - Constructor for class jline.api.qsys.QsysMg1PsResult
QsysMm1PsResult - Class in jline.api.qsys: Sojourn-time moments of the multiclass M/M/1-PS queue.
QsysMm1PsResult(double[], double[], double) - Constructor for class jline.api.qsys.QsysMm1PsResult
QsysMmapG1kResult - Class in jline.api.qsys: Return value of Qsys_mmapg1k: the per-class throughputs and loss ratios of an MMAP[K]/G/1/K buffer, mirroring the MATLAB result struct of qsys_mmapg1k.m.
QsysMmapG1kResult() - Constructor for class jline.api.qsys.QsysMmapG1kResult
QsysMmapGk1Result - Class in jline.api.qsys: Return value of qsys_mmapgk1, mirroring the MATLAB struct.
QsysMmapGk1Result(Matrix, double, double, Matrix, Matrix, Matrix, Matrix, double, Matrix, Matrix, String) - Constructor for class jline.api.qsys.QsysMmapGk1Result
QsysMtginfResult - Class in jline.api.qsys: Time-varying measures of the Mt/G/infinity queue, as produced by Qsys_mtginf.
QsysMtginfResult(double[], double[], double[], double[], double[], double[], double, double[]) - Constructor for class jline.api.qsys.QsysMtginfResult
QsysRetrialResult - Class in jline.api.qsys: Result of BMAP/PH/N/N retrial queue analysis.
QsysRetrialResult(double, double, double, double, double, double, double, double, Matrix, int, double, String) - Constructor for class jline.api.qsys.QsysRetrialResult
QsysRetrialResult(double, double, double, double, double, double, double, double, Matrix, int, String) - Constructor for class jline.api.qsys.QsysRetrialResult
qsysServesMethod(String) - Static method in class jline.solvers.mva.handlers.MVARunner
QsysServiceLaw - Class in jline.api.qsys: Service-time descriptor of the MAP/G/1/K family, the JAR form of the MATLAB svc struct of qsys_mapg1k.m and of the C++ line::qsys::ServiceLaw.
QsysServiceLaw.Kind - Enum in jline.api.qsys: Which family the service law belongs to.
QsysTandemLindleyResult - Class in jline.api.qsys: Conditional downstream waiting time in a two-station tandem.
QsysTandemLindleyResult(double[], double[], double[]) - Constructor for class jline.api.qsys.QsysTandemLindleyResult
QsysTandemPathResult - Class in jline.api.qsys: Waiting times and epochs of a tandem sample path.
QsysTandemPathResult(double[][], double[][], double[][], double[][]) - Constructor for class jline.api.qsys.QsysTandemPathResult
QsysTandemUbResult - Class in jline.api.qsys: Tail bounds of a two-station tandem and the coefficients that produced them.
QsysTandemUbResult(double[], double[], double, double, double, double, double, double) - Constructor for class jline.api.qsys.QsysTandemUbResult
QsysTvFluidResult - Class in jline.api.qsys: Trajectory of the Gt/Mt/st+GI many-server fluid queue, as produced by Qsys_gtmtst_fluid.
QsysTvFluidResult(double[], int[], double[], double[], double[], double[], double[], double[], double[], double[], double[], double[], double[]) - Constructor for class jline.api.qsys.QsysTvFluidResult
QsysWorkloadResult - Class in jline.api.qsys: Holder for the stationary distribution of the quantity of work in a single service stage, together with the grid it is reported on and the stationary distribution of the number of requests in the system.
QsysWorkloadResult(double[], double[], double[]) - Constructor for class jline.api.qsys.QsysWorkloadResult
Qt - Variable in class jline.solvers.SolverAvgHandles: Transient queue length handles
Qt - Variable in class jline.solvers.SolverTranHandles
Qtot - Variable in class jline.api.pfqn.mva.Pfqn_mva_interval.Result: Interval of the total number of jobs at the stations (1 x 2).
QTotVar - Variable in class jline.io.Ret.pfqnSens
QTotVar - Variable in class jline.io.Ret.pfqnSensMva
QTotVar - Variable in class jline.io.Ret.pfqnSensMvaldmx
quadprog(Matrix, Matrix, Matrix) - Static method in class jline.inference.util.OptimUtils: Quadratic program solver with non-negative constraints.
QuadraticDelayParameters(int, int, int[], double, double, double[][][], double[][][], double[][], double[][]) - Constructor for class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
QuadraticLDParameters(int, int, int[], double[][][], double[][][], double[][], double[][]) - Constructor for class jline.api.mapqn.Mapqn_bnd_qr_ld.QuadraticLDParameters
Quadruple<A,B,C,D> - Class in jline.lib.smc: Helper class for returning four values.
Quadruple(A, B, C, D) - Constructor for class jline.lib.smc.Quadruple
qualifiesForIntervalMVA() - Method in class jline.solvers.uq.SolverUQ: Whether the monotonicity theorems behind Pfqn_mva_interval hold for this model.
quantile - Variable in class jline.api.sim.StsQuantileStats: Full-sample empirical p-quantile over all n observations.
QuantileCIResult - Class in jline.api.sim: Point estimate and confidence interval for a steady-state quantile.
QuantileCIResult(double, double, double, double, int, int, int, int, int, double, double, double, boolean, List<String>) - Constructor for class jline.api.sim.QuantileCIResult
quantum - Variable in class jline.lang.layered.Host
quartiles - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
Qub - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: Per type and stage, the upper bound on E[Q(i,k)]; +Inf where max_j L is 0.
QuestOptions - Class in jline.api.sim: Procedure constants of Sim_fquest and Sim_firquest.
QuestOptions() - Constructor for class jline.api.sim.QuestOptions
Queue - Class in jline.lang.nodes: A queueing station that processes jobs according to various scheduling strategies.
Queue - Enum constant in enum jline.lang.constant.NodeType: Queue station - finite servers with queueing
Queue - Static variable in enum jline.lang.constant.DropStrategy: Alias for DropStrategy.WaitingQueue: a job waits in queue when the region is full.
Queue(Network, String) - Constructor for class jline.lang.nodes.Queue: Creates a new queueing station with default processor sharing (PS) scheduling.
Queue(Network, String, SchedStrategy) - Constructor for class jline.lang.nodes.Queue: Creates a new queueing station with the specified scheduling strategy.
QUEUE - Enum constant in enum jline.io.ModelVisualizer.NodeType
QUEUE_LENGTH - Enum constant in enum jline.lang.constant.BalkingStrategy: Balking based on queue length.
Queue.MonoCheckResult - Class in jline.lang.nodes: Result of Queue.checkRateMonotonicity(double[], double).
Queue.PermCheckResult - Class in jline.lang.nodes: Result of Queue.checkPermInvariance(double[], double).
queueAgeDensity - Variable in class jline.api.qsys.QsysFluidAbandonResult: q(x) per server at those ages, null when not requested.
queueIdx - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
queueIndices - Variable in class jline.api.fj.FJInfo
queueing - Variable in class jline.lang.nodes.Place: True once a service process has been assigned, i.e.
QueueingNetwork - Class in jline.lib.perm: Top-level utilities for the queueing-network permanent computations.
queueLength - Variable in class jline.lib.qmam.DTQueueResult
queueLength - Variable in class jline.lib.qmam.MAPDcResult
queueLength - Variable in class jline.lib.qmam.MAPMAP1Result
queueLength - Variable in class jline.lib.qmam.MAPMcResult
queueLength - Variable in class jline.lib.qmam.PHPH1Result
queueLength - Variable in class jline.lib.qmam.Q_RAP_RAP_1.RAPRAP1Result
queueLength(int, int, double, long) - Static method in class jline.streaming.SSAMetricPoint: Create a queue length metric point.
queueLength(int, int, String, String, double, long) - Static method in class jline.streaming.SSAMetricPoint: Create a queue length metric point with station/class names.
queueLength(Node) - Static method in class jline.lang.reward.Reward: Queue length reward: total number of jobs at a node, over all classes.
queueLength(Node, JobClass) - Static method in class jline.lang.reward.Reward: Queue length reward: number of jobs of a given class at a node.
queueLengthDist - Variable in class jline.api.qsys.QsysAbandonResult: P(N = k) for k = 0..s+r, N the number in system.
queueLengths - Variable in class jline.opt.results.EvaluationResult
queueNode - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
QueueNodeParam - Class in jline.lang.nodeparam: Parameter container for queue nodes in queueing networks.
QueueNodeParam() - Constructor for class jline.lang.nodeparam.QueueNodeParam: Constructs an empty QueueNodeParam with initialized parameter maps.
queues - Variable in class jline.api.npfqn.Npfqn_gtmtst_fluid.Result: The per-queue trajectories.
queueStation - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
QueueT - Enum constant in enum jline.lang.constant.MetricType
quickAnalysis(Network) - Static method in class jline.api.wf.WorkflowManager: Quick analysis method for simple workflow inspection.
QuickBenchTest - Class in jline.bench: Quick test of benchmark package functionality
QuickBenchTest() - Constructor for class jline.bench.QuickBenchTest
Quorum - Enum constant in enum jline.lang.constant.JoinStrategy
quorumKofN(FJ_quorum.StepCDF[], int) - Static method in class jline.api.fj.FJ_quorum: CDF of the k-th smallest of n independent branch completion times.
quorumMoments(double[], double[], int) - Static method in class jline.api.fj.FJ_quorum: Mean and variance of the completion time of a k-of-n join whose branches are given by their first two moments.
Qup - Variable in class jline.solvers.uq.SolverUQ.Interval: Queue-length endpoints.
Qupper - Variable in class jline.solvers.ba.SolverBA.Bounds
qVar - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Per-(station,class) queue-length variance.
qVar - Variable in class jline.solvers.fluid.analyzers.MinNormalAnalyzer: Per-(station,class) queue-length variance.
QVar - Variable in class jline.api.pfqn.mva.Pfqn_momlin.MomlinResult
QVar - Variable in class jline.io.Ret.pfqnSens
QVar - Variable in class jline.io.Ret.pfqnSensMva
QVar - Variable in class jline.io.Ret.pfqnSensMvaldmx
QVar - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
QVar - Variable in class jline.solvers.NetworkMomentResult: Mq x R queue-length variance, Var[n(i,r)].
qVart - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Transient per-(station,class) variance, flattened as i*K+k.
QVart - Variable in class jline.solvers.fluid.FluidResult: Transient queue-length VARIANCE per station and class, [stations][classes], each a column over the time grid in t.

R

r - Variable in class jline.api.mapqn.LinearReductionParameters
r - Variable in class jline.api.mapqn.Mapqn_bnd_lr_pf.PFParameters
r - Variable in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
r - Variable in class jline.api.mapqn.Mapqn_bnd_qr_ld.QuadraticLDParameters
r - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
r - Variable in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
r - Variable in class jline.api.mapqn.MVAVersionParameters
r - Variable in class jline.api.qsys.Qsys_mmcc_retrial_fp.Result: Additional arrival rate contributed by retrials.
r - Variable in class jline.lang.sections.CSFunInput: Row index (source class)
r - Variable in class jline.solvers.ag.handlers.RcatComponent
r() - Method in class jline.lang.processes.MMDP: Returns the rate vector (diagonal of R).
r() - Method in class jline.lang.processes.MMDP2: Returns the rate vector (diagonal of R).
R - Variable in class jline.api.fes.FesMapDeaggregateResult: Mean residence time per station.
R - Variable in class jline.api.fes.FesMapSolveResult: Mean response time of the aggregated subnetwork, N/X - E[Z].
R - Variable in class jline.api.fj.FJ_closed.FJAmvaResult
R - Variable in class jline.api.fj.FJ_closed.FJResptClosedResult
R - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
R - Variable in class jline.api.fj.FJ_parallel.FJResptNosplitResult
R - Variable in class jline.api.infer.InferLqnOptions
R - Variable in class jline.api.infer.InferLqnResult
R - Variable in class jline.api.mam.Qbd_rg.QbdCrResult
R - Variable in class jline.api.mam.Qbd_rg.QbdRgResult
R - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Mean class-k sojourn time per visit to the DPS station, 1 x K.
R - Variable in class jline.api.pfqn.ld.Pfqn_qdamva.Result: (M x R) per-class residence times, Q = X .* R.
R - Variable in class jline.api.pfqn.ld.Pfqn_qdlin.Result: (M x R) per-class residence times.
R - Variable in class jline.api.pfqn.mva.Pfqn_looping.Result: Residence times.
R - Variable in class jline.api.pfqn.mva.Pfqn_momlin.MomlinResult
R - Variable in class jline.api.pfqn.mva.Pfqn_mva_interval.Result: Residence-time intervals per station (M x 2).
R - Variable in class jline.api.pfqn.mva.Pfqn_nintmva.Result: Residence times (M x 1).
R - Variable in class jline.api.pfqn.mva.Pfqn_tay.Result: Residence times (M x R).
R - Variable in class jline.api.pfqn.Pfqn_sdr.Result: Mean response times at the center, Q elementwise over X.
R - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
R - Variable in class jline.api.sim.QuantileCIResult: Number of replications, 1 for Sim_fquest.
R - Variable in class jline.io.Ret.pfqnAMVA
R - Variable in class jline.io.Ret.pfqnAMVAMS
R - Variable in class jline.io.Ret.pfqnMVA
R - Variable in class jline.io.Ret.pfqnMVAC
R - Variable in class jline.io.Ret.pfqnMVACLD
R - Variable in class jline.io.Ret.pfqnMVALD
R - Variable in class jline.io.Ret.pfqnMVALDMX
R - Variable in class jline.io.Ret.pfqnSens
R - Variable in class jline.io.Ret.pfqnSensMom
R - Variable in class jline.io.Ret.pfqnSensMva
R - Variable in class jline.io.Ret.pfqnSensMvaldmx
R - Variable in class jline.io.Ret.snDeaggregateChainResults
R - Variable in class jline.io.Ret.snToAG
R - Variable in class jline.solvers.ag.handlers.QbdTail
R - Variable in class jline.solvers.ag.handlers.RCATModel
R - Variable in class jline.solvers.mam.handlers.MAPBMAP1Result
R - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
R - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
R - Variable in class jline.solvers.SolverAvgHandles: Response time handles [stations x classes]
R - Variable in class jline.solvers.tr.TransformSolve.Inner
R - Variable in class jline.solvers.tr.TransformSolve.Lifted
R - Variable in class jline.solvers.tr.TransformSolve.Result
R - Variable in class jline.solvers.uq.SolverUQ.PosteriorTableRow
R() - Method in class jline.lang.processes.MMDP: Returns the rate matrix R (diagonal).
R() - Method in class jline.lang.processes.MMDP2: Returns the rate matrix R (diagonal, closed-form for 2 states).
R0 - Variable in class jline.lib.fjcodes.SRKResult
RAIS - Enum constant in enum jline.lang.constant.HeteroSchedPolicy: Random Available Idle Server.
rand() - Static method in class jline.lang.processes.DMAP
rand() - Static method in class jline.lang.processes.MAP
rand() - Static method in class jline.lang.processes.MMPP2
rand() - Static method in class jline.util.Maths
rand(int) - Static method in class jline.lang.processes.DMAP
rand(int) - Static method in class jline.lang.processes.MAP
rand(int) - Static method in class jline.lang.processes.MarkovChain: Create a random DTMC
rand(int) - Static method in class jline.lang.processes.MarkovProcess: Create a random CTMC
rand(int, int) - Static method in class jline.lang.processes.BMAP: Generates a random BMAP with the given number of phases and maximum batch size.
RAND - Enum constant in enum jline.lang.constant.RoutingStrategy: Random routing - destination selected uniformly at random
randGallery(int, int, int) - Static method in class jline.bench.BenchmarkUtils: Generate random gallery matrix (similar to MATLAB's randgallery) This creates a random matrix with values in [0,1]
randGraph(int) - Static method in class jline.gen.NetworkGenerator: Generate a random strongly connected graph topology This implements the algorithm from MATLAB's randGraph function
randint(long) - Method in class jline.opt.solver.de.NumpyRandomState: Convenience: randint(0, high).
randint(long, long) - Method in class jline.opt.solver.de.NumpyRandomState: numpy randint(low, high) with the default integer dtype: a uniform integer in [low, high) via 32-bit masked rejection (one word per rejection iteration), matching numpy's word consumption exactly.
randMatrix(int) - Method in class jline.util.matrix.Matrix: Fills the matrix with random values between 0 and 1.
randn() - Static method in class jline.lang.processes.MAP
randn() - Static method in class jline.util.Maths
randn(int, double, double) - Static method in class jline.lang.processes.MAP
random - Variable in class jline.solvers.Solver: Random number generator for stochastic algorithms
random() - Static method in class jline.util.ThreadLocalRandom: Deprecated.

Generates a random double value in [0.0, 1.0) using the thread-specific MersenneTwister.
RANDOM - Enum constant in enum jline.lang.constant.RemovalPolicy
randomDMAP(int) - Static method in class jline.lib.butools.dmap.RandomDMAP
randomDMAP(int, double) - Static method in class jline.lib.butools.dmap.RandomDMAP
randomDMAP(int, double, int) - Static method in class jline.lib.butools.dmap.RandomDMAP
randomDMAP(int, double, int, int) - Static method in class jline.lib.butools.dmap.RandomDMAP
randomDMAP(int, double, int, int, double) - Static method in class jline.lib.butools.dmap.RandomDMAP
randomDMAP(int, double, int, int, double, Random) - Static method in class jline.lib.butools.dmap.RandomDMAP: Returns a random discrete Markovian arrival process.
RandomDMAP - Class in jline.lib.butools.dmap
randomDMMAP(int, int) - Static method in class jline.lib.butools.dmap.RandomDMMAP
randomDMMAP(int, int, double) - Static method in class jline.lib.butools.dmap.RandomDMMAP
randomDMMAP(int, int, double, int) - Static method in class jline.lib.butools.dmap.RandomDMMAP
randomDMMAP(int, int, double, int, int) - Static method in class jline.lib.butools.dmap.RandomDMMAP
randomDMMAP(int, int, double, int, int, double) - Static method in class jline.lib.butools.dmap.RandomDMMAP
randomDMMAP(int, int, double, int, int, double, Random) - Static method in class jline.lib.butools.dmap.RandomDMMAP: Returns a random discrete marked Markovian arrival process.
RandomDMMAP - Class in jline.lib.butools.dmap
randomDPH(int) - Static method in class jline.lib.butools.dph.RandomDPH
randomDPH(int, double) - Static method in class jline.lib.butools.dph.RandomDPH
randomDPH(int, double, int) - Static method in class jline.lib.butools.dph.RandomDPH
randomDPH(int, double, int, int) - Static method in class jline.lib.butools.dph.RandomDPH
randomDPH(int, double, int, int, double) - Static method in class jline.lib.butools.dph.RandomDPH
randomDPH(int, double, int, int, double, Random) - Static method in class jline.lib.butools.dph.RandomDPH: Returns a random discrete phase-type distribution with a given mean value.
RandomDPH - Class in jline.lib.butools.dph
RandomEnvExamples - Class in jline.examples.java.advanced: Examples demonstrating queueing networks in random environments.
RandomEnvExamples() - Constructor for class jline.examples.java.advanced.RandomEnvExamples
RandomEnvironmentModel - Class in jline.examples.java.advanced: Examples of models evolving in a random environment
RandomEnvironmentModel() - Constructor for class jline.examples.java.advanced.RandomEnvironmentModel
randomInterval(long) - Method in class jline.opt.solver.de.NumpyRandomState: numpy random_interval(max): a uniform integer in [0, max] inclusive via 32-bit masked rejection.
RandomManager - Class in jline.util: Centralized random number generator management for reproducible, thread-safe random number generation.
RandomManager() - Constructor for class jline.util.RandomManager
randomMAP(int) - Static method in class jline.lib.butools.map.RandomMAP
randomMAP(int, double) - Static method in class jline.lib.butools.map.RandomMAP
randomMAP(int, double, int) - Static method in class jline.lib.butools.map.RandomMAP
randomMAP(int, double, int, int) - Static method in class jline.lib.butools.map.RandomMAP
randomMAP(int, double, int, int, double) - Static method in class jline.lib.butools.map.RandomMAP
randomMAP(int, double, int, int, double, Random) - Static method in class jline.lib.butools.map.RandomMAP: Returns a random Markovian arrival process with given mean value.
RandomMAP - Class in jline.lib.butools.map
randomMatlabStyle() - Static method in class jline.util.Maths
randomMMAP(int, int) - Static method in class jline.lib.butools.map.RandomMMAP
randomMMAP(int, int, double) - Static method in class jline.lib.butools.map.RandomMMAP
randomMMAP(int, int, double, int) - Static method in class jline.lib.butools.map.RandomMMAP
randomMMAP(int, int, double, int, int, double, Random) - Static method in class jline.lib.butools.map.RandomMMAP: Returns a random continuous marked Markovian arrival process.
RandomMMAP - Class in jline.lib.butools.map
randomPH(int) - Static method in class jline.lib.butools.ph.RandomPH
randomPH(int, double) - Static method in class jline.lib.butools.ph.RandomPH
randomPH(int, double, int) - Static method in class jline.lib.butools.ph.RandomPH
randomPH(int, double, int, int, double, Random) - Static method in class jline.lib.butools.ph.RandomPH
RandomPH - Class in jline.lib.butools.ph
randomSample() - Method in class jline.opt.solver.de.NumpyRandomState: numpy random_sample(): a 53-bit double in [0, 1) from two 32-bit words.
randomSample(int) - Method in class jline.opt.solver.de.NumpyRandomState: numpy random_sample(size): C-order fill of length n.
RandomSource - Class in jline.lang.sections: Input buffer of a Source
RandomSource(List<JobClass>) - Constructor for class jline.lang.sections.RandomSource
randp(double[]) - Static method in class jline.api.mam.Randp
randp(double[], int) - Static method in class jline.api.mam.Randp
randp(double[], int, int) - Static method in class jline.api.mam.Randp: Pick random values with relative probability.
randp(Matrix) - Static method in class jline.api.mam.Randp
randp(Matrix, int) - Static method in class jline.api.mam.Randp
randp(Matrix, int, int) - Static method in class jline.api.mam.Randp
Randp - Class in jline.api.mam
range(int) - Static method in class jline.lib.butools.mam.FluidTools: 0..n-1.
rank - Variable in class jline.lib.rmf.CacheRMF.DimensionReduction
rank - Variable in class jline.lib.rmf.CacheRMF.ReducedSystem
rank - Variable in class jline.solvers.fluid.moments.FluidLyapunov.Result
rank - Variable in class jline.solvers.fluid.moments.FluidRefineMeanfield.Result: Number of covariance directions kept.
rank() - Method in class jline.util.matrix.Matrix: Computes the rank of the matrix.
RAP - Class in jline.lang.processes: A Rational Arrival Process (RAP) distribution.
RAP - Enum constant in enum jline.lang.constant.ProcessType
RAP(Matrix, Matrix) - Constructor for class jline.lang.processes.RAP: Creates a Rational Arrival Process with specified H0 and H1 matrices.
rap_sample(MatrixCell, long, Random) - Static method in class jline.api.mam.Rap_sample: Generates a correlated sample sequence from a Rational Arrival Process.
rap_sample(Matrix, Matrix, long, Random) - Static method in class jline.api.mam.Rap_sample: Generates a correlated sample sequence from a Rational Arrival Process given its two matrices.
Rap_sample - Class in jline.api.mam: Rational Arrival Process (RAP) sampling by conditional inversion.
Rap_sample.RapSampler - Class in jline.api.mam: Stateful RAP sampler that carries the conditional phase vector across draws, so successive inter-event times are correlated as in the process.
rapFromMoments(double[], Matrix) - Static method in class jline.lib.butools.map.MRAPFromMoments: Creates a rational arrival process that has the same marginal and lag-1 joint moments as given.
rapFromMomentsAndCorrelations(double[], double[]) - Static method in class jline.lib.butools.map.RAPFromMomentsAndCorrelations: Returns a rational arrival process that has the same moments and lag autocorrelation coefficients as given.
RAPFromMomentsAndCorrelations - Class in jline.lib.butools.map
RAPRAP1Options() - Constructor for class jline.lib.qmam.Q_RAP_RAP_1.RAPRAP1Options
RAPRAP1Options(String, int, int) - Constructor for class jline.lib.qmam.Q_RAP_RAP_1.RAPRAP1Options
RAPRAP1Result(Matrix) - Constructor for class jline.lib.qmam.Q_RAP_RAP_1.RAPRAP1Result
RapSampler(Matrix, Matrix) - Constructor for class jline.api.mam.Rap_sample.RapSampler: Builds the cached grid of matrix exponentials of H0 and initialises the conditional vector to the embedded stationary vector.
rate - Variable in class jline.api.sn.SnPatienceHandles.Handles: The abandonment rate 1/mean.
rate - Variable in class jline.api.spn.Spn_lpbnd.SpnLpMode
rate - Variable in class jline.lang.layered.LayeredNetworkElement.ServerPool
rate - Variable in class jline.lib.m3a.M3A.ErlangParameters
rate() - Method in class jline.lang.processes.Coxian: Property alias for getRate
rate() - Method in class jline.lang.processes.Det: Property alias for getRate
rate() - Method in class jline.lang.processes.Distribution: Property alias for getRate
rate() - Method in class jline.lang.processes.Erlang: Property alias for getRate
rate() - Method in class jline.lang.processes.Exp: Property alias for getRate
rate() - Method in class jline.lang.processes.Gamma: Property alias for getRate
rate() - Method in class jline.lang.processes.HyperExp: Property alias for getRate
rate() - Method in class jline.lang.processes.Lognormal: Property alias for getRate
rate() - Method in class jline.lang.processes.Markovian: Property alias for getRate
rate() - Method in class jline.lang.processes.Pareto: Property alias for getRate
rate() - Method in class jline.lang.processes.PH: Property alias for getRate
rate() - Method in class jline.lang.processes.Uniform: Property alias for getRate
rate() - Method in class jline.lang.processes.Weibull: Property alias for getRate
rate(int, int) - Method in interface jline.api.pfqn.Pfqn_busyp.RateFunction
rate_sched - Variable in class jline.solvers.SolverOptions.Config: Fluid closing ODE: explicit per-(station,class) rate trajectories.
rate_traj_mmat - Variable in class jline.solvers.SolverOptions.Config: Fluid closing ODE: event rate multiplier matrix of the caller-supplied trajectory, of size numEvents x numel(rate_traj_tgrid).
rate_traj_tgrid - Variable in class jline.solvers.SolverOptions.Config: Fluid closing ODE: time grid of the caller-supplied event rate multiplier trajectory.
rateBase - Variable in class jline.solvers.fluid.moments.FluidMomentTerms: Constant rate factor of each event (nevents x 1).
rateBase - Variable in class jline.solvers.fluid.petri.PetriTerms
rateBaseReduced - Variable in class jline.solvers.fluid.handlers.ImmediateElimination.EliminationResult
rateCapFactor - Variable in class jline.inference.api.VariationalOptions
rateCost(Map<Station, Double>, List<Constraint>) - Static method in class jline.opt.objectives.MinimizeCost: Rate-cost-only convenience constructor.
RateEntry(int, int, double[], double[], Double) - Constructor for class jline.solvers.fluid.handlers.FluidRateMultiplier.RateEntry
rateJacobian(double) - Method in class jline.opt.variables.HostDemand: d(service rate)/d(demand) = d(1/D)/dD = -1/D^2 at demand D=value.
rateMax - Variable in class jline.inference.api.VariationalOptions: cap on the variational rates; derived from ymax and tmax when null.
rates - Variable in class jline.api.sn.SnPnFiringRates.Ret: Firing rate per (transition, mode) pair, as a column vector.
rates - Variable in class jline.inference.api.VariationalResult: (P) posterior mean rates, alpha/beta.
rates - Variable in class jline.lang.layered.LayeredNetworkStruct.ServerPools
rates - Variable in class jline.lang.NetworkStruct
rates - Variable in class jline.lib.m3a.M3A.CoxianParameters
rates - Variable in class jline.lib.m3a.M3A.HyperExpParameters
rates - Variable in class jline.lib.m3a.M3A.PhaseTypeParameters
rates - Variable in class jline.solvers.fluid.handlers.FluidRateMultiplier.RateEntry
rates(double[], double[], Matrix[]) - Method in class jline.solvers.fluid.moments.FluidMomentTerms: Event rates, i.e.
rates(PetriTerms, double[], double[], double[], PetriSystem.Theta) - Static method in class jline.solvers.fluid.petri.PetriSystem: The rate of every event column.
rates(Matrix) - Static method in class jline.solvers.ag.AgWire: The reversed-rate vector, the whole per-sweep payload.
RateSchedule(double[], double[], boolean) - Constructor for class jline.lang.processes.NHPP.RateSchedule
RATIO - Static variable in class jline.solvers.fluid.petri.PetriImmediate
rational(long, long) - Method in class jline.util.symbolic.SymContext: An exact rational constant.
ratios - Variable in class jline.api.sym.SymEngine.CTMCMeasures: One entry per requested ratio, in the order given
RatioSpec(String, int, int) - Constructor for class jline.api.sym.SymEngine.RatioSpec
raw - Variable in class jline.io.Ret.pfqnQlenMoments
rawEdgesWaiting - Variable in class jline.solvers.LayeredSolverResult: Waiting time by call edge [calls x 1]
rawPhase1ServiceTime - Variable in class jline.solvers.LayeredSolverResult: Phase 1 service time by node [nodes x 1]
rawPhase1Utilization - Variable in class jline.solvers.LayeredSolverResult: Phase 1 utilization by node [nodes x 1]
rawPhase2ServiceTime - Variable in class jline.solvers.LayeredSolverResult: Phase 2 service time by node [nodes x 1]
rawPhase2Utilization - Variable in class jline.solvers.LayeredSolverResult: Phase 2 utilization by node [nodes x 1]
rawProcUtilization - Variable in class jline.solvers.LayeredSolverResult: Processor utilization by node [nodes x 1]
rawProcWaiting - Variable in class jline.solvers.LayeredSolverResult: Processor waiting time by node [nodes x 1]
rawThroughput - Variable in class jline.solvers.LayeredSolverResult: Throughput by node [nodes x 1]
rawUtilization - Variable in class jline.solvers.LayeredSolverResult: Raw utilization by node [nodes x 1]
RcatComponent - Class in jline.solvers.ag.handlers: One RCAT component: the (station, class) pair and the Markovian processes its QBD is assembled from.
RcatComponent() - Constructor for class jline.solvers.ag.handlers.RcatComponent
RCATModel - Class in jline.solvers.ag.handlers: RCAT (Reversed Compound Agent Theorem) model representation.
RCATModel(Matrix[][], Matrix, Matrix, List<ActionInfo>, int[], int[], int[], int[][], double[][], double[][]) - Constructor for class jline.solvers.ag.handlers.RCATModel
rcatRes - Variable in class jline.solvers.ag.handlers.INAPResult
rcatSupportsProcess(ProcessType) - Static method in class jline.solvers.ag.SolverAG: True when the RCAT analyzers can give a process of this type a phase dimension: after snNonmarkovToPh (which AG runs with phfit='ph' and preserveDet=false) it must hold a genuine (D0,D1) pair with non-negative off-diagonal rates and a single arrival per epoch.
RD - Variable in class jline.solvers.ctmc.SolverCTMC.FirstPassageResult: (n x 2) matrix, first column F(t), second column t.
reachableSpaceGenerator(NetworkStruct, SolverOptions) - Static method in class jline.lang.state.State: Generates state space restricted to states reachable from initial state Migrated from MATLAB reachableSpaceGenerator.m
reachableSpaceGeneratorResult(Matrix, Matrix, NetworkStruct) - Constructor for class jline.io.Ret.reachableSpaceGeneratorResult
READ - Enum constant in enum jline.lang.constant.EventType
readFromFile(String) - Static method in class jline.util.matrix.Matrix: Reads a CSV-formatted matrix from a file.
readXML(String) - Static method in class jline.lang.layered.LayeredNetwork: Reads a layered queueing network from an XML file with default verbose setting.
readXML(String, boolean) - Static method in class jline.lang.layered.LayeredNetwork: Reads a layered queueing network from an XML file.
real - Variable in class jline.util.matrix.ComplexMatrix: The real component of the complex matrix
reason - Variable in class jline.api.sn.SnIsDiscreteTime.Result
reason - Variable in class jline.api.sym.SymEngine.Measure: Why the value is undefined, null otherwise.
reason - Variable in class jline.solvers.auto.SolverCandidate: Why a refused pair was refused; empty when SolverCandidate.runnable.
reason - Variable in class jline.solvers.fluid.petri.PetriApplicable.Verdict
reason - Variable in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer.DtModel: Why the model is not admissible, when kind is "none".
reason - Variable in class jline.solvers.uq.SolverUQ.Interval: When not exact, the condition that ruled out the exact path.
reasoning - Variable in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
reasonToDecline(NetworkStruct, SolverOptions) - Static method in class jline.solvers.fluid.moments.FluidDaeApplicable
reasonToDecline(NetworkStruct, SolverOptions) - Static method in class jline.solvers.fluid.moments.FluidMinNormalApplicable
rechenberg(ArrayList<Double>) - Static method in class jline.lib.lti.cme
reciprocal() - Method in class jline.util.matrix.Matrix: Computes the element-wise reciprocal (1/x) of the matrix.
recombination - Variable in class jline.opt.solver.LineOptSolverOptions
recommendedSolver - Variable in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
recommendSolverWithWorkflowAnalysis() - Method in class jline.api.wf.Wf_auto_integration
reconstructDiscreteDistribution(ProcessType, Matrix, Double) - Static method in class jline.lang.layered.LayeredNetwork: Reconstruct a DiscreteDistribution object from primitive parameters.
reconstructDistribution(ProcessType, Matrix, Double, Double, MatrixCell) - Static method in class jline.lang.layered.LayeredNetwork: Reconstruct a Distribution object from primitive parameters.
recordCallGroup(RoutingStrategy, List<String>) - Method in class jline.lang.layered.Activity: Records the grouping of synchronous calls this activity ALREADY declares.
recordState(double, double, Matrix, Matrix, Matrix) - Method in class jline.streaming.Collector: Record state observation from simulation loop.
recurActGraphReturnType(JobClass, int, RoutingMatrix) - Constructor for class jline.solvers.ln.SolverLN.recurActGraphReturnType
recurActGraphReturnType(JobClass, int, RoutingMatrix, Map<Integer, Queue>) - Constructor for class jline.solvers.ln.SolverLN.recurActGraphReturnType
recurrent - Variable in class jline.util.graph.DirectedGraph.SCCResult
reducedMomsFromMoms(Matrix) - Static method in class jline.lib.butools.ReducedMomsFromMoms: Returns the reduced moments given the raw moments.
ReducedMomsFromMoms - Class in jline.lib.butools
ReducedMomsFromMoms(double[]) - Static method in class jline.lib.butools.ReducedMomsFromMoms: Returns the reduced moments given the raw moments (double[] version).
ReducedSystem(double[][], double[][][], double[][], double[][], double[][], int) - Constructor for class jline.lib.rmf.CacheRMF.ReducedSystem
reduceFpFppQ(double[][], double[][][], double[][]) - Method in class jline.lib.rmf.CacheRMF: Apply dimension reduction to Fp, Fpp, Q.
ReducibilityInfo() - Constructor for class jline.lang.RoutingErgodicity.ReducibilityInfo
redundantAt(double[], double) - Static method in class jline.api.pfqn.nc.Pfqn_explicit: Whether two of the induced demands agree to within tol, relatively to the largest.
ref - Variable in class jline.io.LineCitations.Citation: The reference, as shown to the user.
REF - Enum constant in enum jline.lang.constant.SchedStrategy: Reference station - used for closed classes
refclass - Variable in class jline.lang.NetworkStruct
refidx - Variable in class jline.api.lqn.Lqn_boxbounds.Result
refIdx - Variable in class jline.inference.api.Infer_fluid_ps_rt_likelihood.FluidPsRtResult
refIdx - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
refine(double[], double[], Matrix, FluidMomentTerms, Matrix[]) - Static method in class jline.solvers.fluid.moments.FluidRefineMeanfield: The O(1/N) correction of a fluid fixed point.
refpath_classes_updmap - Variable in class jline.solvers.ln.SolverLN: The same rows as a matrix, row 0 and column 0 unused like the other update maps.
refpath_group - Variable in class jline.solvers.ln.SolverLN: Stage key of each refpath_classes_updmap row (row r of the map at entry r-1).
refpath_keys - Variable in class jline.solvers.ln.SolverLN: Unique [modelidx, nodeidx, classidx] stage keys, 0-based rows.
refpath_layers - Variable in class jline.solvers.ln.SolverLN: Ensemble indices (1-based) of the layers carrying a refpath stage.
refpath_stage_prev - Variable in class jline.solvers.ln.SolverLN: Previous stage means, for the under-relaxation of updateRefPathStages.
refreshBalking() - Method in class jline.lang.Network: Refreshes balking configuration in the network structure.
refreshBatchRejectProb() - Method in class jline.lang.Network: Refreshes the batch rejection probabilities in the network structure.
refreshBreakdown() - Method in class jline.lang.Network: Refreshes the server breakdown / repair configuration in the network structure.
refreshCapacity() - Method in class jline.lang.Network
refreshChains(boolean) - Method in class jline.lang.Network
refreshDeadlines() - Method in class jline.lang.Network: Refreshes the deadline configuration for all job classes in the network structure.
refreshGlobalSync() - Method in class jline.lang.Network
refreshHeterogeneousServers() - Method in class jline.lang.Network: Populates heterogeneous server configuration in NetworkStruct.
refreshImpatience() - Method in class jline.lang.Network
refreshJobs() - Method in class jline.lang.Network
refreshLocalVars() - Method in class jline.lang.Network
refreshLST(List<Integer>, List<Integer>) - Method in class jline.lang.Network
refreshOrbitImpatience() - Method in class jline.lang.Network: Refreshes orbit impatience configuration in the network structure.
refreshPetriNetNodes() - Method in class jline.lang.Network
refreshPH() - Method in class jline.lang.workflow.Workflow: Recompose the workflow law after a demand change, reusing every cached series-parallel node whose subtree is unchanged.
refreshPriorities() - Method in class jline.lang.Network
refreshProcesses() - Method in class jline.lang.Network
refreshProcesses(List<Integer>, List<Integer>) - Method in class jline.lang.Network
refreshProcessPhases(List<Integer>, List<Integer>) - Method in class jline.lang.Network
refreshProcessRepresentations() - Method in class jline.lang.Network
refreshProcessTypes(List<Integer>, List<Integer>) - Method in class jline.lang.Network
refreshRates(List<Integer>, List<Integer>) - Method in class jline.lang.Network
refreshRegions() - Method in class jline.lang.Network: Populate finite capacity region information in sn struct.
refreshRetrial() - Method in class jline.lang.Network: Refreshes retrial configuration in the network structure.
refreshRoutingMatrix(Matrix) - Method in class jline.lang.Network
refreshScheduling() - Method in class jline.lang.Network
refreshServicesFromBase(Ret.FJApprox) - Static method in class jline.lang.ModelAdapter: Re-feed a transformed model produced by ModelAdapter.mmt(jline.lang.Network) from the current service parameters of the base model it was derived from, so that the transformation can be reused across the iterations of an outer fixed point instead of being rebuilt.
refreshStateDepRouting() - Method in class jline.lang.Network: Builds sn.sdr, the station-indexed twin of the Krzesinski state-dependent routing structure declared on the entry center.
refreshStruct() - Method in class jline.lang.Network
refreshStruct(boolean) - Method in class jline.lang.Network
refreshSync() - Method in class jline.lang.Network
refstat - Variable in class jline.lang.JobClass
refstat - Variable in class jline.lang.ModelAdapter.DeaggInfo
refstat - Variable in class jline.lang.NetworkStruct
refstatchain - Variable in class jline.io.Ret.snGetDemands
refstatchain - Variable in class jline.lang.ModelAdapter.DeaggInfo
reftask - Variable in class jline.api.lqn.LqnRefRoutes.Group: Task index of the REF task at the root.
reftasks - Variable in class jline.lang.layered.LayeredNetwork
regime - Variable in class jline.api.qsys.QsysFluidAbandonResult: "underloaded", "balanced" or "overloaded".
regime - Variable in class jline.api.qsys.QsysTvFluidResult: 1 while the queue is overloaded, 0 while it is underloaded.
region - Variable in class jline.lang.NetworkStruct
Region - Class in jline.lang: Collection of stations with constraints on the number of admitted jobs
Region - Enum constant in enum jline.lang.constant.NodeType: Finite Capacity Region - virtual node representing a blocking region
Region(List<Node>, List<JobClass>) - Constructor for class jline.lang.Region
regionlincon - Variable in class jline.lang.NetworkStruct
regionLossAvgT() - Method in class jline.solvers.NetworkSolver
regionmaxmem - Variable in class jline.lang.NetworkStruct
regionmembers - Variable in class jline.lang.NetworkStruct
regionrule - Variable in class jline.lang.NetworkStruct
regionsz - Variable in class jline.lang.NetworkStruct
regionweight - Variable in class jline.lang.NetworkStruct
register(Map<String, ParityExample>) - Static method in class jline.examples.parity.GalleryTwins: Add every gallery model to reg, leaving an existing name alone.
register(Map<String, ParityExample>) - Static method in class jline.examples.parity.JavaExampleTwins: Add every swept twin to reg, leaving an existing name alone.
registerNodeFailure(String, Markovian, Markovian, Markovian, String, String) - Method in class jline.lang.Environment: Attaches a node breakdown/repair descriptor to stages that already exist.
RegressionBaseline() - Constructor for class jline.bench.BenchmarkRegression.RegressionBaseline
RegressionComparison(double) - Constructor for class jline.bench.BenchmarkRegression.RegressionComparison
reject - Variable in class jline.api.sim.HypothesisTestResult: True when the null hypothesis is rejected at the requested level.
Relation() - Constructor for class jline.api.lqn.LqnBalanceEquations.Relation
relativeEntropy(double[], double[]) - Static method in class jline.lib.butools.fitting.RelativeEntropy: Returns the relative entropy (aka Kullback-Leibler divergence) of two vectors.
RelativeEntropy - Class in jline.lib.butools.fitting
relax - Variable in class jline.solvers.SolverOptions.Config: Under-relaxation mode for SolverLN convergence improvement.
relax_err_history - Variable in class jline.solvers.ln.SolverLN
relax_factor - Variable in class jline.api.lqn.Lqn_mol.Options
relax_factor - Variable in class jline.solvers.SolverOptions.Config: Relaxation factor (omega) when relaxation is enabled.
relax_history - Variable in class jline.solvers.SolverOptions.Config: Error history window size for adaptive relaxation mode.
relax_min - Variable in class jline.solvers.SolverOptions.Config: Minimum relaxation factor for adaptive mode.
relax_omega - Variable in class jline.solvers.ln.SolverLN
relaxOmega - Variable in class jline.solvers.ln.SolverLN.LNState
relerr - Variable in class jline.lib.ode.RKF45Result
relerrEst - Variable in class jline.api.cache.Cache_spm_size.Result: Size-free error baseline 0.14*(1/min_j m_j + 1/(n - sum_j m_j)); see ACCURACY.
relerrEst - Variable in class jline.api.retrieval.Retrieval_rayint.Result: Estimated relative error, 0.14*(1/min_j m_j + 1/(n - sum_j m_j)).
relink(RoutingMatrix) - Method in class jline.lang.Network
relinkFromRtorig(Map<JobClass, Map<JobClass, Matrix>>) - Method in class jline.lang.Network: Relink the network from a modified rtorig map.
relres - Variable in class jline.api.mc.Ctmc_bicgstab.BicgstabResult
relres - Variable in class jline.api.mc.Ctmc_gmres.GmresResult
relresidual - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
relT() - Method in class jline.lang.Environment: Short alias for getReliabilityTable.
relTable() - Method in class jline.lang.Environment: Short alias for getReliabilityTable.
RemainingTwins - Class in jline.examples.parity: The last goldened examples the JAR carried no twin for.
remote - Variable in class jline.solvers.SolverOptions.Config: Enable remote execution via REST API (LQNS-specific).
remote - Variable in class jline.solvers.SolverOptions: Enable remote solver execution
remote_endpoint - Variable in class jline.solvers.SolverOptions: Remote solver endpoint address
remote_url - Variable in class jline.solvers.SolverOptions.Config: URL of lqns-rest server for remote execution (LQNS-specific).
removalDistribution - Variable in class jline.solvers.ag.handlers.ActionInfo
RemovalPolicy - Enum in jline.lang.constant: Enumeration of removal policies for negative signals in G-networks.
remove(int) - Method in class jline.util.matrix.MatrixCell: Removes the matrix at the specified index.
remove(int, int) - Method in class jline.util.matrix.Matrix: Removes a specific element from the matrix at the given row and column.
remove(String) - Method in class jline.lang.ModelAttribute: Removes a metadata field.
remove(Station, JobClass) - Method in class jline.solvers.AvgHandle: Removes the metric for a specific station and job class.
removeActivity(int) - Method in class jline.lang.layered.Task
removeArrivalProcess(JobClass) - Method in class jline.lang.nodes.Source: Removes the arrival process for a specific job class.
removeClass(JobClass) - Method in class jline.lang.Network: Removes the specified job class from this model, updating all node configurations (service, capacity, routing, arrival and class-switching) accordingly, and re-initialising the model.
removeClass(Network, JobClass) - Static method in class jline.lang.ModelAdapter: Returns a copy of the model with the specified job class removed, updating all station configurations, routing matrices and class-dependent parameters accordingly.
removeCols(Collection<Integer>) - Method in class jline.util.matrix.Matrix: Removes the specified columns from the matrix.
removeCompatibleClass(JobClass) - Method in class jline.lang.constant.ServerType: Removes a job class from the list of compatible classes.
removeDirectory(Path) - Static method in class jline.io.SysUtils
removeInfinite() - Method in class jline.util.matrix.Matrix: Replaces all infinite values (positive or negative) in the matrix with 0.
removeInfinity() - Method in class jline.util.matrix.Matrix: Removes all infinite values (positive or negative) from the sparse matrix structure.
removeJobClass(JobClass) - Method in class jline.lang.nodes.Cache: Sets the read policy for a job class using a popularity distribution.
removeJobClass(JobClass) - Method in class jline.lang.nodes.ClassSwitch
removeJobClass(JobClass) - Method in class jline.lang.nodes.Node: Removes all per-class configuration referencing the given job class from this node.
removeJobClass(JobClass) - Method in class jline.lang.nodes.ServiceStation
removeJobClass(JobClass) - Method in class jline.lang.nodes.Source
removeJobClass(JobClass) - Method in class jline.lang.nodes.Station
removeNaN() - Method in class jline.util.matrix.Matrix: Removes all NaN values from the matrix structure.
removeNegative() - Method in class jline.util.matrix.Matrix: Removes all negative values from the matrix structure.
removeNull() - Method in class jline.util.matrix.MatrixCell: Removes all null matrices from the collection.
removeRows(double[][][], Matrix) - Static method in class jline.util.matrix.Matrix
removeRows(Collection<Integer>) - Method in class jline.util.matrix.Matrix: Removes the specified rows from the matrix.
removeServiceProcess(JobClass) - Method in class jline.lang.sections.RandomSource
removeServiceProcess(JobClass) - Method in class jline.lang.sections.ServiceSection
removeTask(Task) - Method in class jline.lang.layered.Host
removeTrailingNewLine(String) - Static method in class jline.util.matrix.Matrix
removeZeros() - Method in class jline.util.matrix.BaseMatrix: Removes zero-valued elements from the matrix with default tolerance.
removeZeros() - Method in class jline.util.matrix.DenseMatrix
removeZeros() - Method in class jline.util.matrix.SparseMatrix: Removes zero-valued elements from the sparse matrix with default tolerance.
removeZeros(double) - Method in class jline.util.matrix.Matrix: Removes values from the matrix that are equal to the specified value.
removeZerosWithTol(double) - Method in class jline.util.matrix.BaseMatrix: Removes zero-valued elements from the matrix with specified tolerance.
removeZerosWithTol(double) - Method in class jline.util.matrix.DenseMatrix
removeZerosWithTol(double) - Method in class jline.util.matrix.SparseMatrix
removeZerosWithTolStatic(DMatrix, double) - Static method in class jline.util.matrix.SparseMatrix
render(FluidODEsExporter.SymODEs, SolverOptions, String, String) - Static method in class jline.solvers.fluid.FluidODEsExporter: Render the LaTeX document for the given system.
renderConnection(Node, Node, double) - Method in class jline.io.tikz.TikZNodeRenderer: Renders a connection between two nodes.
renderCurvedConnection(Node, Node, double, double) - Method in class jline.io.tikz.TikZNodeRenderer: Renders a curved connection for parallel paths (e.g., fork-join).
renderNode(Node, double, double) - Method in class jline.io.tikz.TikZNodeRenderer: Renders a node at the given position.
renderRoutedEdge(String, String, String, String, List<double[]>, double, TikZOptions) - Static method in class jline.io.tikz.TikZEdgeRouter: Generates TikZ code for a routed edge with waypoints.
RENEGE - Enum constant in enum jline.lang.constant.EventType
renegedCustomers - Variable in class jline.solvers.ldes.LDESResult: Number of customers who reneged (abandoned queue due to expired patience) [stations x classes]
RENEGING - Enum constant in enum jline.lang.constant.ImpatienceType: Reneging - customer abandons the queue after waiting too long.
renegingRate - Variable in class jline.solvers.ldes.LDESResult: Reneging rate (reneged / (completed + reneged + dropped)) [stations x classes]
renv_basic() - Static method in class jline.examples.java.advanced.RandomEnvExamples: Demonstrates a basic random environment model (renv_basic).
renv_container_terminal() - Static method in class jline.examples.java.advanced.RandomEnvExamples: `renv_container_terminal.m`: a daily-cycle container terminal, solved by the STATE-VECTOR analyzer and read against the exact joint chain.
renv_fourstages_repairmen() - Static method in class jline.examples.java.advanced.RandomEnvExamples: Demonstrates a random environment model with four stages (renv_fourstages_repairmen.ipynb).
renv_fourstages_repairmen() - Static method in class jline.examples.java.advanced.RandomEnvironmentModel: Complex random environment model with 4 stages and 3 stations.
renv_genqn() - Static method in class jline.examples.java.advanced.RandomEnvExamples: `renv_genqn.m`: the stage generator of the repairmen environments, solved on its own by MVA.
renv_genqn(double, double, int) - Static method in class jline.examples.java.advanced.RandomEnvironmentModel: `renv_genqn.m`: a Delay and a PS Queue in a cycle, one closed class of N jobs.
renv_lqn_twostages() - Static method in class jline.examples.java.advanced.RandomEnvExamples: `renv_lqn_twostages.m`: a LayeredNetwork operating in a two-stage random environment.
renv_map_fallback() - Static method in class jline.examples.java.advanced.RandomEnvExamples: `renv_map_fallback.m`: the random-environment fallback a solver takes when it cannot consume a non-renewal service process.
renv_rotterdam_blending() - Static method in class jline.examples.java.advanced.RandomEnvExamples: `renv_rotterdam_blending.m`: the 24-environment exponential blending accuracy result of the Rotterdam container-terminal study, against its published simulation.
renv_threestages_repairmen() - Static method in class jline.examples.java.advanced.RandomEnvExamples: Demonstrates a random environment model with three stages (renv_threestages_repairmen.ipynb).
renv_threestages_repairmen() - Static method in class jline.examples.java.advanced.RandomEnvironmentModel: Random environment model with circular transition structure.
renv_twostages_repairmen() - Static method in class jline.examples.java.advanced.RandomEnvExamples: Demonstrates a random environment model with two stages (renv_twostages_repairmen.ipynb).
renv_twostages_repairmen() - Static method in class jline.examples.java.advanced.RandomEnvironmentModel: Basic random environment model with 2 stages and 2 stations.
RenvEvent - Class in jline.solvers.env
RenvEvent(int, int, double, Matrix, double, double, Pair<Integer, Integer>) - Constructor for class jline.solvers.env.RenvEvent
renvEventFilt - Variable in class jline.solvers.env.SolverENV.EnvGeneratorResult
renvEvents - Variable in class jline.solvers.env.SolverENV.EnvGeneratorResult
renvInfGen - Variable in class jline.solvers.env.SolverENV.EnvGeneratorResult
repair - Variable in class jline.lang.Environment.NodeFailure: Distribution of the repair time (DOWN -> UP), or null when no repair was added.
REPAIR - Enum constant in enum jline.lang.constant.EventType: The server of a station is repaired (goes from down to up).
repairMu - Variable in class jline.lang.NetworkStruct: (nstations x 1) repair rate of a down server (0 = never repaired).
repairProc - Variable in class jline.lang.NetworkStruct: Repair-time (D0,D1) representation per station.
repairResetPolicy - Variable in class jline.lang.Environment.NodeFailure: Named repair reset policy: "keep", "clear", "custom", or "" when no repair was added.
repl - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
repl - Variable in class jline.lang.layered.LayeredNetworkStruct
REPL - Class in jline.io: REPL (Read-Eval-Print Loop) for LINE solver Provides an interactive environment to define models and execute solvers
REPL() - Constructor for class jline.io.REPL
REPL(Reader, Writer) - Constructor for class jline.io.REPL
replace(double, double) - Method in class jline.util.matrix.Matrix: Replaces all occurrences of a specific value with a new value in the matrix.
replacement - Variable in class jline.lang.layered.LayeredNetworkStruct
ReplacementStrategy - Enum in jline.lang.constant: Constants for specifying a cache replacement strategy
replacestrat - Variable in class jline.lang.layered.LayeredNetworkStruct
replacestrat - Variable in class jline.lang.nodeparam.CacheNodeParam: Replacement strategy used when cache is full (LRU, FIFO, etc.)
replacestrategy - Variable in class jline.lang.layered.CacheTask
Replayer - Class in jline.lang.processes: A distribution that replays empirical data values from trace files.
Replayer(Object) - Constructor for class jline.lang.processes.Replayer
REPLAYER - Enum constant in enum jline.lang.constant.ProcessType
ReplayerNodeParam - Class in jline.lang.nodeparam: Parameter container for replayer nodes in queueing networks.
ReplayerNodeParam() - Constructor for class jline.lang.nodeparam.ReplayerNodeParam
replication - Variable in class jline.lang.layered.Host
replication - Variable in class jline.lang.layered.Task
REPLICATION_REMOVED - Static variable in class jline.solvers.wrappers.jmt.SolverJMT: The refusal a caller naming the removed 'replication' method receives.
replications - Variable in class jline.solvers.ldes.LDESOptions: Number of independent replications to run.
replications - Variable in class jline.solvers.SolverOptions.Config: SolverJMT transient ensemble: number of independent seeded JSIM runs averaged onto a common time grid when method is 'default' and timespan[1] is finite.
repliesTo(Entry) - Method in class jline.lang.layered.Activity
REPLY - Enum constant in enum jline.io.tikz.SequenceDiagramTraverser.Interaction.Type
REPLY - Enum constant in enum jline.lang.constant.SignalType
replyActivity - Variable in class jline.lang.layered.Entry
replyblock - Variable in class jline.lang.NetworkStruct: (nnodes,nclasses) 1 iff the node holds a server for class r awaiting a REPLY signal (synchronous call).
ReplyBlock - Class in jline.lang.state: Layout of, and accessors for, the synchronous-call (REPLY signal) blocked-server block that a node carries in its local-variable state.
ReplyBlock.Info - Class in jline.lang.state: Layout of the reply block at one node.
replygraph - Variable in class jline.lang.layered.LayeredNetworkStruct
replyHeld(NetworkStruct, Map<Integer, Matrix>) - Static method in class jline.solvers.ssa.analyzers.Solver_ssa_analyzer_serial: Time-averaged servers held for a pending REPLY signal, per (station, calling class).
repmat(int, int) - Method in class jline.util.matrix.Matrix: Repeats the matrix to match the specified row and column replication.
representation(int) - Static method in class jline.lang.processes.CME: Builds the unit-mean (alpha, A) matrix-exponential form of a CME.
requested(SolverOptions) - Static method in class jline.solvers.tr.TransformSolve: The canonical method name asked for, or TransformMethod.NONE.
requireFullSupport(Matrix, String) - Static method in class jline.lib.perm.PermSupport: Refuse a matrix the permanent approximations cannot take.
res - Variable in class jline.api.da.Da_cacheqn_retrieval.Result
res - Variable in class jline.solvers.mva.handlers.MVARunner
rescaleActivityLeaf(int, double) - Method in class jline.lang.workflow.Workflow: Time-scale a cached leaf in place, as T -> T*factor with alpha fixed.
ReServiceOnRejection - Enum constant in enum jline.lang.constant.DropStrategy
reset() - Method in class jline.api.mam.Rap_sample.RapSampler: Resets the conditional vector to the embedded stationary vector.
reset() - Static method in class jline.io.LineConsole: Forget any open run (used after an interrupted solve).
reset() - Method in class jline.lang.Network
reset() - Method in class jline.lang.nodes.Cache: Resets the internal data structures when the network model is reset.
reset() - Method in class jline.lang.nodes.Node: Resets the internal state of this node.
reset() - Method in class jline.lib.ode.RKF45: Reset internal state so the next call is treated as a fresh start.
reset() - Method in class jline.solvers.ctmc.CTMCResult
reset() - Method in class jline.solvers.Solver: Clears previously stored results and resets the random number generator.
reset() - Method in class jline.solvers.SolverResult: Resets all stored results to null and runtime to zero.
reset() - Method in class jline.streaming.MockOtlpReceiver: Clears all received data.
reset() - Static method in class jline.util.RandomManager: Resets all random number generators to use the current master seed.
reset(boolean) - Method in class jline.lang.layered.LayeredNetwork: Resets the layered network to its initial state.
reset(boolean) - Method in class jline.lang.Network
reset(Markovian, Matrix, Matrix, Matrix) - Method in interface jline.lang.Environment.ResetEnvRatesFunction
reset(Matrix) - Method in interface jline.lang.Environment.ResetQueueLengthsFunction
reset(Matrix) - Method in interface jline.lang.Environment.ResetStateFunction
RESET_POLICY_CLEAR - Static variable in class jline.lang.Environment: Named reset policy emptying the queues on a transition.
RESET_POLICY_CUSTOM - Static variable in class jline.lang.Environment: Marks a reset policy given as an arbitrary function, which cannot be serialized.
RESET_POLICY_KEEP - Static variable in class jline.lang.Environment: Named reset policy carrying the queue lengths across a transition unchanged.
resetDisabledOutputStrategy(JobClass) - Method in class jline.lang.sections.OutputSection: Like OutputSection.setOutputStrategy(JobClass, RoutingStrategy) but only resets the class if it currently has the RoutingStrategy.DISABLED default.
resetEnvRatesFun - Variable in class jline.lang.Environment
resetForkWarmStart() - Method in class jline.solvers.mva.SolverMVA: Discards the retained MMT fixed point.
resetHandles() - Method in class jline.lang.Network
resetIstateCounters() - Static method in class jline.solvers.fluid.LSODAExt
resetModel(boolean) - Method in class jline.lang.Network
resetNetwork() - Method in class jline.lang.Network
resetNetwork(boolean) - Method in class jline.lang.Network: Resets the topology of the current network
resetQLFun - Variable in class jline.lang.Environment
resetRandomGeneratorSeed(long) - Method in class jline.solvers.Solver: Assigns a new seed to the random number generator.
resetRouting() - Method in class jline.lang.nodes.Node: Resets all routing configurations for this node.
resetRouting() - Method in class jline.lang.sections.OutputSection
resetSampleClock() - Method in class jline.lang.processes.BMMAPt: Restarts the sample path at the schedule start.
resetSampleClock() - Method in class jline.lang.processes.MAPt: Restart the sample path at the schedule start, in phase 1.
resetSampleClock() - Method in class jline.lang.processes.MMAPt: Restarts the sample path at the schedule start.
resetSampleClock() - Method in class jline.lang.processes.MPHt: Restarts the sample path at the schedule start.
resetSampleClock() - Method in class jline.lang.processes.NHPP: Restarts the NHPP.sample(int, java.util.Random) clock at the start of the schedule.
resetSampleClock() - Method in class jline.lang.processes.PHt: Restart the sample path at the schedule start.
resetStateFun - Variable in class jline.lang.Environment
resetStateSpace() - Method in class jline.lang.nodes.StatefulNode
resetStruct() - Method in class jline.lang.Network: Resets the struct of a given network
resG2 - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.AcfitResult
reshape(int, int) - Method in class jline.util.matrix.BaseMatrix: Reshapes the matrix to the specified dimensions.
reshape(int, int) - Method in class jline.util.matrix.DenseMatrix: Reshapes the matrix to the specified dimensions.
reshape(int, int) - Method in class jline.util.matrix.Matrix: Reshapes the matrix to the specified number of rows and columns.
reshape(int, int) - Method in class jline.util.matrix.SparseMatrix: Reshapes the matrix to the specified dimensions.
reshape(int, int, int) - Method in class jline.util.matrix.Matrix: Reshapes the matrix with new dimensions and internal storage length.
resid - Variable in class jline.api.lqn.Lqn_mol.Result: The infinity norm of the last relative change, over servt and thinkt alike.
residt - Variable in class jline.api.lqn.Lqn_mol.Result: Entry processor residence.
residt - Variable in class jline.api.lqn.LqnBalanceEquations.Solution
residt - Variable in class jline.solvers.ln.SolverLN.LNState
residt - Variable in class jline.solvers.ln.SolverLN
ResidT - Enum constant in enum jline.lang.constant.MetricType
residt_prev - Variable in class jline.solvers.ln.SolverLN
residtPrev - Variable in class jline.solvers.ln.SolverLN.LNState
residual - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
residual - Variable in class jline.api.npfqn.Npfqn_gtmtst_fluid.Result: Sup-norm change at the last iteration.
residual - Variable in class jline.api.spn.Spn_pf.SpnPfResult: Relative complex-balance residual at y.
residual - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Infinity norm of the residual the solve stopped at.
residual - Variable in class jline.solvers.fluid.moments.FluidRefineMeanfield.Result: Residual norm of A*V + b.
resnorm - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
resolve() - Static method in class jline.api.sym.SymEngines: Resolves an engine with the default request, i.e.
resolve(boolean, Station) - Method in class jline.lang.Signal: Resolves this Signal placeholder to OpenSignal or ClosedSignal.
resolve(String) - Static method in class jline.api.sym.SymEngines: Resolves an engine.
resolve(NetworkStruct, SolverOptions) - Static method in class jline.solvers.fluid.handlers.FluidHideImmediate
resolveActivity(LayeredNetwork, String) - Static method in class jline.opt.LqnAdapter: Resolve an Activity by name inside a (possibly copied) LQN model.
resolveClass(Network, JobClass) - Static method in class jline.opt.variables.DecisionVariable
resolveClassSwitches() - Method in class jline.lang.RoutingMatrix
resolveDockerImage(SolverOptions) - Static method in class jline.solvers.wrappers.jmt.JmtBackend: Resolves the JMT Docker image to dispatch through, with user consent.
resolveMethod(SolverOptions) - Method in class jline.solvers.mva.SolverMVA: Feature-driven resolution of options.method="default": a bursty single-class open network has a non-renewal (MAP/MMPP) arrival process whose autocorrelation a two-moment method cannot capture, so the default dispatch of Solver_mva_analyzer selects RQNA.
resolveMethod(SolverOptions) - Method in class jline.solvers.nc.SolverNC: Feature-driven resolution of method='default': an open network with non-Markovian (non-unit SCV) variability within the MEM feature set is solved by the Maximum Entropy Method by default, since the normalizing-constant path would silently exponentialize it.
resolveMethod(SolverOptions) - Method in class jline.solvers.Solver: Resolve the concrete method that will run.
resolveMethodForStruct(NetworkStruct, String) - Static method in class jline.solvers.mva.SolverMVA: The concrete method the MVA analyzer will dispatch, given a struct and a requested name.
resolveMethodToken(String) - Method in class jline.solvers.auto.SolverAUTO: Split a method name into a selection intent, or into a family and the submethod handed to it.
resolveNode(Network, Node) - Static method in class jline.opt.variables.DecisionVariable
resolvePreserveDet(SolverOptions) - Static method in class jline.solvers.mam.analyzers.Solver_mam_analyzer: options.config.preserveDet with the reference's method-dependent default applied, and the ONLY spelling the MAM steady-state path reads.
resolveProcessor(LayeredNetwork, String) - Static method in class jline.opt.LqnAdapter: Resolve a Processor by name inside a (possibly copied) LQN model.
resolveResetPolicy(String) - Static method in class jline.lang.Environment: Resolves a named queue-length reset policy into its function.
resolveSignals() - Method in class jline.lang.Network: Resolves Signal placeholders to OpenSignal or ClosedSignal based on network structure.
resolveTask(LayeredNetwork, String) - Static method in class jline.opt.LqnAdapter: Resolve a Task by name inside a (possibly copied) LQN model.
resolveUnappliedConnections() - Method in class jline.lang.RoutingMatrix
responseTime(int, int, double, long) - Static method in class jline.streaming.SSAMetricPoint: Create a response time metric point.
responseTime(int, int, String, String, double, long) - Static method in class jline.streaming.SSAMetricPoint: Create a response time metric point with station/class names.
ResponseTimeConstraint - Class in jline.opt.objectives: Per-station response time constraint: RT <= maxValue.
ResponseTimeConstraint(String, String, double, String) - Constructor for class jline.opt.objectives.ResponseTimeConstraint
ResponseTimeConstraint(Station, double) - Constructor for class jline.opt.objectives.ResponseTimeConstraint
ResponseTimeConstraint(Station, JobClass, double) - Constructor for class jline.opt.objectives.ResponseTimeConstraint
responseTimes - Variable in class jline.opt.results.EvaluationResult
respt - Variable in class jline.solvers.NetworkMomentResult: The sojourn-time moment result, or null when response-time moments were not available (open models, or FCFS rates that are not class-independent).
respT(String) - Static method in class jline.api.infer.ObsSpec: Observe the response time of the named element (entry or reference task).
RespT - Enum constant in enum jline.lang.constant.MetricType
RESPT - Enum constant in enum jline.api.infer.ObsSpec.Metric
respTimeSamples - Variable in class jline.solvers.ldes.LDESResult: Response time samples for empirical CDF computation [stations][classes].
ResptMoments(double, double) - Constructor for class jline.api.fj.FJ_tail_forktail.ResptMoments
RespTSink - Enum constant in enum jline.lang.constant.MetricType
resSCV - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.AcfitResult
restUrl - Variable in class jline.solvers.ldes.LDESOptions: Base URL of an LDES REST server, e.g.
restUrl - Variable in class jline.solvers.SolverOptions: Base URL of a solver REST server, e.g.
result - Variable in class jline.opt.pareto.ParetoPoint
result - Variable in class jline.opt.results.SubProblemResult
result - Variable in class jline.solvers.Solver: Results from the most recent solver execution
Result() - Constructor for class jline.api.cache.Cache_spm_size.Result
Result() - Constructor for class jline.api.da.Da_cacheqn_retrieval.Result
Result() - Constructor for class jline.api.lqn.Lqn_boxbounds.Result
Result() - Constructor for class jline.api.lqn.LqnBalanceEquations.Result
Result() - Constructor for class jline.api.lqn.LqnRefRoutes.Result
Result() - Constructor for class jline.api.mapqn.Mapqn_amva.Result
Result() - Constructor for class jline.api.mc.Ctmc_transient_sens.Result
Result() - Constructor for class jline.api.npfqn.Npfqn_bnd_bgt.Result
Result() - Constructor for class jline.api.npfqn.Npfqn_bnd_bpt.Result
Result() - Constructor for class jline.api.npfqn.Npfqn_dps_morrison.Result
Result() - Constructor for class jline.api.pfqn.mva.Pfqn_looping.Result
Result() - Constructor for class jline.api.pfqn.Pfqn_sdr.Result
Result() - Constructor for class jline.api.retrieval.Retrieval_mva.Result
Result() - Constructor for class jline.api.retrieval.Retrieval_rayint.Result
Result() - Constructor for class jline.opt.solver.de.DifferentialEvolution.Result
Result() - Constructor for class jline.solvers.ctmc.handlers.Ctmc_avg_from_pi.Result
Result() - Constructor for class jline.solvers.fluid.petri.PetriSolver.Result
Result() - Constructor for class jline.solvers.mam.handlers.Mam_bgchain_ctmc.Result
Result() - Constructor for class jline.util.ode.Rodas.Result
Result(boolean, double, boolean, boolean, boolean, String) - Constructor for class jline.api.sn.SnIsDiscreteTime.Result
Result(double[][], double[][], double[]) - Constructor for class jline.api.pfqn.ld.Pfqn_oi_insvc.Result
Result(double[], double) - Constructor for class jline.api.cache.CacheSojourn.Result
Result(double[], double[][]) - Constructor for class jline.api.pfqn.mva.Pfqn_mvaoi_marg.Result
Result(double[], List<QsysTvFluidResult>, double[][], int, double) - Constructor for class jline.api.npfqn.Npfqn_gtmtst_fluid.Result
Result(double, double) - Constructor for class jline.api.pfqn.nc.Pfqn_rgfmc.Result
Result(double, double, double) - Constructor for class jline.api.pfqn.nc.Pfqn_dnc.Result
Result(double, double, double[]) - Constructor for class jline.api.pfqn.nc.Pfqn_rgf.Result
Result(double, double, double[][]) - Constructor for class jline.api.pfqn.nc.Pfqn_pas_is.Result
Result(double, double, double, Matrix, MatrixCell) - Constructor for class jline.api.mam.Mg1_dt_queue.Result
Result(double, double, String, double) - Constructor for class jline.api.pfqn.ld.Pfqn_explicit_ld.Result
Result(double, double, String, double) - Constructor for class jline.api.pfqn.nc.Pfqn_explicit.Result
Result(double, Matrix, Matrix, Matrix) - Constructor for class jline.api.pfqn.mva.Pfqn_nintmva.Result
Result(double, Matrix, Matrix, Matrix, int, Matrix) - Constructor for class jline.api.pfqn.Pfqn_marie.Result
Result(int, double, double, double, double[], double[], double[], double, double, double[]) - Constructor for class jline.api.pfqn.sens.Pfqn_hst.Result
Result(MatrixCell, boolean) - Constructor for class jline.api.mam.Mmap2k_fit.Result
Result(MatrixCell, boolean) - Constructor for class jline.api.mam.Mmap3k_fit.Result
Result(Matrix, int, double, boolean) - Constructor for class jline.solvers.fluid.moments.FluidLyapunov.Result
Result(Matrix, Matrix, Matrix) - Constructor for class jline.api.pfqn.Pfqn_mwrbb.Result
Result(Matrix, Matrix, Matrix, Matrix, int) - Constructor for class jline.api.pfqn.ld.Pfqn_qdamva.Result
Result(Matrix, Matrix, Matrix, Matrix, int, Matrix[]) - Constructor for class jline.api.pfqn.mva.Pfqn_tay.Result
Result(Matrix, Matrix, Matrix, Matrix, Pfqn_mvasjn.Profile[], int) - Constructor for class jline.api.pfqn.mva.Pfqn_mvasjn.Result
Result(Matrix, Matrix, Matrix, Matrix, Matrix, int) - Constructor for class jline.api.pfqn.ld.Pfqn_qdlin.Result
Result(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.api.pfqn.mva.Pfqn_mva_interval.Result
ResultCTMC - Class in jline.solvers.ctmc
ResultCTMC(Matrix, Matrix, Matrix, MatrixCell, double[][][], double[][][], NetworkStruct) - Constructor for class jline.solvers.ctmc.ResultCTMC
ResultCTMCMargAggr - Class in jline.solvers.ctmc: Result class for CTMC Marginal Aggregated solver.
ResultCTMCMargAggr(Matrix, Matrix, double, String) - Constructor for class jline.solvers.ctmc.ResultCTMCMargAggr
resultPath(String, String) - Static method in class jline.solvers.wrappers.jmt.JmtBackend: Returns the path JMT writes its result to for this model and mode.
results - Variable in class jline.solvers.EnsembleSolver
results - Variable in class jline.solvers.ln.SolverLN.LNState
ret - Variable in class jline.solvers.fj.FJFixedPoint.FJOutcome
Ret - Class in jline.io: Container class for return types used throughout the LINE queueing network solver library.
Ret() - Constructor for class jline.io.Ret
Ret(Matrix, double[][][], double[][][], List<Integer>) - Constructor for class jline.api.sn.SnPnFiringRates.Ret
Ret_jointmarg(double, double, double) - Constructor for class jline.api.pfqn.Pfqn_jointmarg.Ret_jointmarg
Ret_jointmarg(double, double, double, double) - Constructor for class jline.solvers.nc.handlers.Solver_nc_jointmarg.Ret_jointmarg
Ret.ActionMapEntry - Class in jline.io: Entry for the action map in snToAG.
Ret.afterEventHashedOrAddResult - Class in jline.io: Result class for afterEventHashedOrAdd method
Ret.cacheGamma - Class in jline.io: Represents the return type for the cache gamma linear program computations.
Ret.cacheIs - Class in jline.io: Represents the return type for cache importance sampling method.
Ret.cacheMissRayInt - Class in jline.io: Deprecated.
Use cacheMissSpm instead
Ret.cacheMissSpm - Class in jline.io: Represents the return type for cache miss rate computations with the SPM method.
Ret.cacheMVA - Class in jline.io: Represents the return type for the cache MVA (Mean Value Analysis) computations.
Ret.cacheRayInt - Class in jline.io: Deprecated.
Use cacheSpm instead
Ret.cacheSpm - Class in jline.io: Represents the return type for cache ray method.
Ret.cacheXiFp - Class in jline.io: Result type for the cache characteristic time (xi) fixed-point algorithm.
Ret.ctmcSimulation - Class in jline.io
Ret.DistributionResult - Class in jline.io: Unified result type for distribution computations in queueing network solvers.
Ret.Eigs - Class in jline.io
Ret.EventResult - Class in jline.io: Result type for event-based state space exploration functions.
Ret.FJApprox - Class in jline.io
Ret.FJAuxClassKey - Class in jline.io
Ret.FJsortForks - Class in jline.io
Ret.getHashOrAddResult - Class in jline.io: Result class for getHashOrAdd method
Ret.LinearizerResult - Class in jline.io: Unified result type for linearizer approximation methods.
Ret.lossnErlangFP - Class in jline.io: Constructs a lossnErlangFPReturn object with the specified queue-length, loss probability, blocking probability, and iteration count.
Ret.lossnManjunath - Class in jline.io: Return type for the exact Manjunath-Sikdar transform of a loss network (Lossn_manjunath), holding the carried load, the class blocking probabilities, the log of the EXACT normalization constant, and the realised cost.
Ret.lossnMCI - Class in jline.io: Return type for Monte Carlo importance-sampling summation of loss networks (Lossn_mci), holding carried load, class blocking, the log normalization constant, and delta-method confidence intervals.
Ret.mamAPH2Fit - Class in jline.io: Class representing the return type for the fitting of a 2-phase APH (Acyclic Phase-Type) distribution.
Ret.mamMAPFitIdcReturn - Class in jline.io: A class to represent the return type of the map2_fit_idc function, holding the fitted MAP and the fallback taken when the four descriptors are not all matched.
Ret.mamMAPFitReturn - Class in jline.io: A class to represent the return type of the map2_fit function, holding the transition matrices and possibly other fitting results.
Ret.mamMMAPMixtureFit - Class in jline.io: Class representing the return type for fitting a mixture model to a MMAP.
Ret.mamMMAPSample - Class in jline.io: Constructor initializing the sample data, number of types, and type indices.
Ret.npfqnNonexpApprox - Class in jline.io: Data structure to return the results of non-product-form queueing network approximation.
Ret.pfqnAB - Class in jline.io: Result type for the Akyildiz-Bolch (A/B) linearizer method for load-dependent multi-server BCMP networks.
Ret.pfqnAMVA - Class in jline.io: Data structure for storing results from the AMVA (Approximate Mean Value Analysis) method.
Ret.pfqnAMVAMS - Class in jline.io: Data structure for storing results from the AMVA MS (Approximate Mean Value Analysis Multiservice) method.
Ret.pfqnAMVASchmidt - Class in jline.io: Result type for the Schmidt AMVA algorithm.
Ret.pfqnBkLc - Class in jline.io
Ret.pfqnComomrm - Class in jline.io: Data structure for storing results the COMOM method.
Ret.pfqnComomrmLd - Class in jline.io: Data structure for storing results from the load-dependent COMOM method.
Ret.pfqnComomrmMs - Class in jline.io: Data structure for storing results from the CoMoM multiserver method.
Ret.pfqnCUB - Class in jline.io: Function class for the integrand used in cubature calculations.
Ret.pfqnDAC - Class in jline.io: Data structure to hold the results of the DAC (Distribution Analysis by Chain) method.
Ret.pfqnEstimate - Class in jline.io: Data structure for storing linearizer estimtate results from a queueing network analysis.
Ret.pfqnFnc - Class in jline.io: Data structure for storing results from a FNC (Fitting Normalizing Constants) calculation.
Ret.pfqnGldIndex - Class in jline.io: Index key for caching intermediate results in the pfqn_gld (Generalized Local Balance) algorithm.
Ret.pfqnHarelBounds - Class in jline.io: Result type for Harel et al.
Ret.pfqnLDMXEC - Class in jline.io: Data structure to hold extended results from the MVA computation, particularly focusing on error corrections.
Ret.pfqnLeFpi - Class in jline.io: Data structure for storing results from a fixed-point iteration method.
Ret.pfqnLeFpiZ - Class in jline.io: Data structure for storing results from a fixed-point iteration method with normalization.
Ret.pfqnLinearizerEstimate - Class in jline.io: Data structure for storing intermediate estimates from the linearizer method.
Ret.pfqnLinearizerMSEstimate - Class in jline.io: Data structure for storing estimated intermediate results from the MS linearizer method.
Ret.pfqnManjunath - Class in jline.io: Result of the Manjunath-Sikdar transform for product-form queueing networks (Pfqn_manjunath): the exact normalizing constant over a state space cut by linear integer constraints, its logarithm, and the realised cost.
Ret.pfqnMcmc - Class in jline.io: Return of Pfqn_mcmc: the Chen-O'Cinneide regularization estimates and their batch-means confidence intervals.
Ret.pfqnMVA - Class in jline.io: Result type for the MVA (Mean Value Analysis) algorithm.
Ret.pfqnMVAC - Class in jline.io: Result type for the MVAC (mean value analysis by chain) algorithm (see Pfqn_mvac).
Ret.pfqnMVACLD - Class in jline.io: Result type for the MVAC extension to queue-length dependent centers (see Pfqn_mvacld).
Ret.pfqnMVALD - Class in jline.io
Ret.pfqnMVALDMX - Class in jline.io: Extended result type for MVA with load-dependent stations and additional metrics.
Ret.pfqnNc - Class in jline.io
Ret.pfqnNcComplex - Class in jline.io
Ret.pfqnNcldmx - Class in jline.io: Data structure for the normalizing constant of a mixed limited load-dependent network.
Ret.pfqnNcSanitize - Class in jline.io: Data structure for storing sanitized input parameters for a normalizing constant calculation.
Ret.pfqnNcSym - Class in jline.io: The SYMBOLIC normalizing constant: G as an exact rational function.
Ret.pfqnNcXQ - Class in jline.io
Ret.pfqnOifnc - Class in jline.io: Return type for pfqn_oi_fnc: the OI functional-server (FNC) rate handle muf(n), the FNC balance function Psi and rate mu tabulated as flat column-major vectors over the population lattice, with the lattice shape.
Ret.pfqnOiNc - Class in jline.io: Return type for pfqn_ncoi and pfqn_pas_nc: normalizing constant of a closed order-independent (OI) / pass-and-swap + single-delay network, with its natural log.
Ret.pfqnProcomom - Class in jline.io: Data structure for storing results from the ProCoMoM method.
Ret.pfqnProcomom2 - Class in jline.io: Data structure for storing results from the procomom2 method.
Ret.pfqnQlenMoments - Class in jline.io: Joint queue-length moment arrays of a closed product-form network, as returned by Pfqn_qlen_joint_moments.
Ret.pfqnRd - Class in jline.io: Data structure for storing results from the RD method.
Ret.pfqnSchmidt - Class in jline.io: Result type for the Schmidt method for load-dependent MVA with multi-server stations.
Ret.pfqnSens - Class in jline.io: Result type for exact analytic performance sensitivities of a closed product-form network (see Pfqn_sens).
Ret.pfqnSensLdmxEc - Class in jline.io: Result type for the effective-capacity terms of the mixed load-dependent MVA together with their exact derivatives with respect to the open-class load, computed by Pfqn_sens_ldmx_ec.
Ret.pfqnSensLinearizer - Class in jline.io: Result type for the approximate higher moments of the per-station total queue lengths of a closed product-form network, computed by the LINEARIZER-2 / LINEARIZER-3 algorithms of Pfqn_sens_linearizer.
Ret.pfqnSensMom - Class in jline.io: Result type for the exact higher moments (up to order three) of the queue lengths of each CLASS GROUP at each station of a closed product-form network, computed by Pfqn_sens_mom.
Ret.pfqnSensMva - Class in jline.io: Result type for the exact queue-length second moments of a closed load-independent product-form network, computed by the MVA-like moment recursion of Pfqn_sens_mva.
Ret.pfqnSensMvaldmx - Class in jline.io: Result type for the exact queue-length second moments of a mixed open/closed product-form network with limited load dependence, computed by Pfqn_sens_mvaldmx.
Ret.pfqnSensRespt - Class in jline.io: Result type for the exact moments of the sojourn time of a job at FCFS multiserver centers of a closed product-form network, computed by Pfqn_sens_respt.
Ret.ProbabilityResult - Class in jline.io: Unified result type for probability computations in queueing network solvers.
Ret.qsys - Class in jline.io: A class to store the results of queueing system analysis.
Ret.qsys_prio - Class in jline.io: Return type for multi-class queueing system analysis with priorities.
Ret.reachableSpaceGeneratorResult - Class in jline.io: Result class for reachableSpaceGenerator method
Ret.SampleResult - Class in jline.io: Unified result type for sampling and simulation in queueing network solvers.
Ret.snDeaggregateChainResults - Class in jline.io: A return type for the snDeaggregateChainResults method, encapsulating multiple chain-related matrix results.
Ret.snGetDemands - Class in jline.io: A unified return type for demand-related methods, supporting both simple demands (D, Z) and comprehensive chain demands with optional chain-specific parameters.
Ret.snGetProductFormParams - Class in jline.io: A unified return type for methods returning product form parameters.
Ret.snToAG - Class in jline.io: Result type for the snToAG conversion.
Ret.SpectralDecomposition - Class in jline.io
Ret.SVD - Class in jline.io: Result class for SVD (Singular Value Decomposition)
retrial - Variable in class jline.solvers.mam.MAMInternals: Orbit-level internals of a retrial station, or null otherwise.
Retrial - Enum constant in enum jline.lang.constant.DropStrategy
RETRIAL - Enum constant in enum jline.lang.constant.ImpatienceType: Retrial - customer moves to orbit and retries queue entry after a delay.
retrialDelayDistributions - Variable in class jline.lang.nodes.Station
retrialDropped - Variable in class jline.solvers.ldes.LDESResult: Number of customers dropped after exceeding max retrial attempts [stations x classes]
RetrialInfo - Class in jline.api.qsys: Information about a valid retrial queue topology.
RetrialInfo() - Constructor for class jline.api.qsys.RetrialInfo
RetrialInfo(boolean, int, int, int, int, String, int, double, double, double, int) - Constructor for class jline.api.qsys.RetrialInfo
retrialInternals - Variable in class jline.solvers.mam.MAMResult: Orbit-level internals of the matrix-analytic retrial engine, when the model was solved as a retrial station.
retrialMaxAttempts - Variable in class jline.lang.NetworkStruct
retrialMaxAttempts - Variable in class jline.lang.nodes.Station
retrialMu - Variable in class jline.lang.NetworkStruct
retrialPhi - Variable in class jline.lang.NetworkStruct
retrialPolicies - Variable in class jline.lang.nodes.Station
retrialPolicy - Variable in class jline.lang.NetworkStruct: Retrial policy per station-class: RetrialPolicy.LINEAR (per-customer timers, aggregate rate n*nu) or RetrialPolicy.CONSTANT (one controller retries for the whole orbit at rate nu).
RetrialPolicy - Class in jline.lang.constant: Retrial policies for an orbiting population.
retrialProc - Variable in class jline.lang.NetworkStruct
retrialType - Variable in class jline.lang.NetworkStruct
RetrialWithLimit - Enum constant in enum jline.lang.constant.DropStrategy
retriedCustomers - Variable in class jline.solvers.ldes.LDESResult: Number of successful retrial attempts (customers who re-entered queue from orbit) [stations x classes]
retrieval - Variable in class jline.lang.layered.CacheTask
retrieval_chain() - Static method in class jline.examples.java.basic.CacheRetrievalSystemExamples: Two-queue chained retrieval system over 3 items, cache capacity 1.
retrieval_default() - Static method in class jline.examples.java.basic.CacheRetrievalSystemExamples: Retrieval system inheriting per-item routing and service from the read class, with item-level overrides.
retrieval_default() - Static method in class jline.examples.java.basic.CacheRetrievalSystemModel: Retrieval system whose per-item miss routing AND service are taken, by default, from the read class.
retrieval_fpi(double[], double[], double[][], double[][]) - Static method in class jline.api.retrieval.Retrieval_fpi
retrieval_fpi(double[], double[], double[][], double[][], int, double) - Static method in class jline.api.retrieval.Retrieval_fpi
Retrieval_fpi - Class in jline.api.retrieval
retrieval_fpi_latency(double[], double[], double[][], double[][][], double[][][][], double[][][], String[]) - Static method in class jline.api.retrieval.Retrieval_fpi_latency
Retrieval_fpi_latency - Class in jline.api.retrieval
Retrieval_fpi_latency.Result - Class in jline.api.retrieval: Result: Z (latency), d (per-item delayed-hit count), phi, pi0 (each length n).
Retrieval_fpi.Result - Class in jline.api.retrieval: Result: pmiss (1 x n), phit (h x n), pdh ((r+1) x n).
retrieval_metrics(double[], double[], double[][], double[][]) - Static method in class jline.api.retrieval.Retrieval_metrics
Retrieval_metrics - Class in jline.api.retrieval
Retrieval_metrics.Result - Class in jline.api.retrieval: Result: pmiss (1 x n), phit (h x n), pdh ((r+1) x n).
retrieval_mva(int[], double[], Matrix, Matrix) - Static method in class jline.api.retrieval.Retrieval_mva
Retrieval_mva - Class in jline.api.retrieval: Exact MVA-style recursion for delayed-hit (list-based) cache metrics.
Retrieval_mva.Result - Class in jline.api.retrieval: Mirrors the [pmiss, phit, pdh] return list of the MATLAB function.
retrieval_nc(double[], double[], double[], double[][], double[][]) - Static method in class jline.api.retrieval.Retrieval_nc: Normalizing constant E(v,m).
Retrieval_nc - Class in jline.api.retrieval
retrieval_ps() - Static method in class jline.examples.java.basic.CacheRetrievalSystemExamples: PS variant of retrieval_simple, with the paper's motivating-example parameters.
retrieval_rayint(double[][], double[]) - Static method in class jline.api.retrieval.Retrieval_rayint: Discrete (saddle) form.
retrieval_rayint(Retrieval_rayint.Profile, double[], int) - Static method in class jline.api.retrieval.Retrieval_rayint: Continuum (ray-integral) form.
retrieval_rayint(Retrieval_rayint.Profile, double[], int, int) - Static method in class jline.api.retrieval.Retrieval_rayint: Continuum (ray-integral) form with an explicit quadrature resolution.
Retrieval_rayint - Class in jline.api.retrieval
Retrieval_rayint.Profile - Interface in jline.api.retrieval: Access-factor profile gamma_j(v) for v in [0,1]; returns a v.length x h matrix.
Retrieval_rayint.Result - Class in jline.api.retrieval: Expansion result.
retrieval_routing() - Static method in class jline.examples.java.basic.CacheRetrievalSystemExamples: Probabilistic per-item routing through a 3-queue retrieval system, cache capacity 2.
retrieval_simple() - Static method in class jline.examples.java.basic.CacheRetrievalSystemExamples: Single-queue retrieval system over 3 items, cache capacity 1.
retrieval_system_with_probabilistic_routing(double[], Matrix, String, SchedStrategy) - Static method in class jline.examples.java.basic.CacheRetrievalSystemModel: Overload using the default 3-item routing matrices defined for the probabilistic routing model.
retrieval_system_with_probabilistic_routing(double[], Matrix, Matrix[], String, SchedStrategy) - Static method in class jline.examples.java.basic.CacheRetrievalSystemModel: Cache model with probabilistic per-item routing through a retrieval system of 3 queues (one infinite-server, two scheduled).
retrieval_system_with_probabilistic_routing_and_self_loops(double[], Matrix, String, SchedStrategy) - Static method in class jline.examples.java.basic.CacheRetrievalSystemModel: Overload using the default 3-item routing matrices (with self-loops) defined for the probabilistic routing model.
retrieval_system_with_probabilistic_routing_and_self_loops(double[], Matrix, Matrix[], String, SchedStrategy) - Static method in class jline.examples.java.basic.CacheRetrievalSystemModel: Cache model with probabilistic per-item routing including self-loops through a retrieval system of 3 queues (one infinite-server, two scheduled).
retrievalChain() - Static method in class jline.examples.parity.CacheTwins: retrieval_chain.py: two FCFS retrieval stations in series.
retrievalClasses - Variable in class jline.lang.nodeparam.CacheNodeParam: Matrix containing the retrieval class for each item [items x classes]
retrievalClasses - Variable in class jline.lang.sections.CacheClassSwitcher
retrievalClassIndices - Variable in class jline.lang.nodeparam.CacheNodeParam: Set of indices for retrieval classes
retrievalDefault() - Static method in class jline.examples.parity.CacheTwins: retrieval_default.py: two PS retrieval stations in series, with item 0 given a faster fetch and a short circuit past the second queue.
retrievalinflight - Variable in class jline.lang.nodeparam.CacheNodeParam: Mean number of primary requests in flight in the retrieval sub-system, split by the originating (reading) job class [1 x classes].
retrievalPs() - Static method in class jline.examples.parity.CacheTwins: retrieval_ps.py: a seven-item RR cache behind one PS station.
retrievalRouting() - Static method in class jline.examples.parity.CacheTwins: retrieval_routing.py: three retrieval stations with a per-item routing law over [IS, Queue 1, Queue 2, Cache], the cache last.
RetrievalRoutingEntry(JobClass, JobClass, Node, Node, double) - Constructor for class jline.lang.nodes.Cache.RetrievalRoutingEntry
retrievalSimple() - Static method in class jline.examples.parity.CacheTwins: retrieval_simple.py: one INF retrieval station, nothing overridden.
retrievalSystemCapacity - Variable in class jline.lang.nodeparam.CacheNodeParam: Maximum number of items that can be retrieved simultaneously, 0 if no retrieval system, nItems - cache capacity if a retrieval system exists
retrievalSystemQueueIndices - Variable in class jline.lang.nodeparam.CacheNodeParam: Retrieval System queue indices for each job class [jobClass -> node indices]
RETRY - Enum constant in enum jline.lang.constant.EventType
returnPer(Matrix, Matrix, double[]) - Static method in class jline.lib.fjcodes.ReturnPer: Extract percentiles from a Phase-Type (PH) distribution
ReturnPer - Class in jline.lib.fjcodes
returnRT1(FJArrival, FJService, double[]) - Static method in class jline.lib.fjcodes.ReturnRT1: Compute response time percentiles for K=1 Fork-Join queue.
ReturnRT1 - Class in jline.lib.fjcodes
returnRT2(FJArrival, FJService, double[], int) - Static method in class jline.lib.fjcodes.ReturnRT2
returnRT2(FJArrival, FJService, double[], int, String) - Static method in class jline.lib.fjcodes.ReturnRT2: Compute response time percentiles for K=2 Fork-Join queue.
ReturnRT2 - Class in jline.lib.fjcodes
returnWait(double, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.fjcodes.ReturnWait: Compute Phase-Type representation of stationary waiting time.
ReturnWait - Class in jline.lib.fjcodes: Compute waiting time distribution for Fork-Join queue.
ReturnWaitResult - Class in jline.lib.fjcodes: Result of returnWait
ReturnWaitResult(Matrix, Matrix, double, Matrix) - Constructor for class jline.lib.fjcodes.ReturnWaitResult
reverse() - Method in class jline.util.matrix.Matrix: Reverses the elements of a vector (row or column) matrix.
reverseRows() - Method in class jline.util.matrix.Matrix: Reverses the order of rows in the matrix.
reward - Variable in class jline.lang.NetworkStruct
Reward - Class in jline.lang.reward: Factory for common reward function templates.
RewardDescriptor - Class in jline.lang.reward: A RewardFunction that also records what the reward measures.
RewardDescriptor(RewardDescriptor.Kind, Node, JobClass, RewardFunction) - Constructor for class jline.lang.reward.RewardDescriptor: Creates a reward descriptor.
RewardDescriptor.Kind - Enum in jline.lang.reward: Structural kind of a reward.
RewardFunction - Interface in jline.lang.reward: Functional interface for defining reward functions on CTMC states.
rewardIterations - Variable in class jline.solvers.SolverOptions: Number of value iterations for CTMC reward computation.
rewardModelAggregation() - Static method in class jline.examples.parity.RewardTwins: reward_model_aggregation.py: the aggregation operations of a state view.
rewardModelMm1k() - Static method in class jline.examples.parity.RewardTwins: reward_model_mm1k.py: the four rewards of an M/M/1/K, in steady state and over a finite horizon, against the analytical law.
rewardModelMulticlass() - Static method in class jline.examples.parity.RewardTwins: reward_model_multiclass.py: per-class rewards at a two-server PS station.
rewardModelTemplates() - Static method in class jline.examples.parity.RewardTwins: reward_model_templates.py: the three reward templates on an M/M/1/10.
rewardNames - Variable in class jline.solvers.ldes.LDESResult: Names of the reward functions, in registration order.
RewardResult - Class in jline.solvers.ctmc.analyzers: Result class for CTMC reward computation via value iteration.
RewardResult(Map<String, Matrix>, double[], List<String>, Matrix, Map<String, Double>, double) - Constructor for class jline.solvers.ctmc.analyzers.RewardResult
rewardTime - Variable in class jline.solvers.ldes.LDESResult: Time points associated with LDESResult.tranReward.
RewardTwins - Class in jline.examples.parity: python/examples/advanced/rewardModel/: setReward and the SolverCTMC reward surface, getAvgReward and getTranReward.
RFac - Variable in class jline.api.infer.InferLqnOptions
rho - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
rho - Variable in class jline.api.fj.FJ_parallel.FJResptNosplitResult
rho - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: Per-class nominal load.
rho - Variable in class jline.api.npfqn.Npfqn_bnd_bpt.Result: Per-class utilization lambda_r/mu_r.
rho - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Usage sum_j b_j/g_j.
rho - Variable in class jline.api.npfqn.Npfqn_traffic_idc
rho - Variable in class jline.api.qsys.QsysBmapM1Result: Offered load lambda/mu.
rho - Variable in class jline.api.qsys.QsysMapG1kPerflowResult: lambdaAggregate * E[S].
rho - Variable in class jline.api.qsys.QsysMapG1kResult: Offered load lambda*S.
rho - Variable in class jline.api.qsys.QsysMg1PsResult: Utilization lambda*m1.
rho - Variable in class jline.api.qsys.QsysMmapG1kResult: Offered load.
rho - Variable in class jline.io.Ret.npfqnNonexpApprox
rho - Static variable in class jline.io.Ret.qsys_prio
rho - Static variable in class jline.io.Ret.qsys
rhoProc - Variable in class jline.solvers.ag.handlers.INAPResult
rhoStation - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: Per-station nominal load.
rhoStation - Variable in class jline.api.npfqn.Npfqn_bnd_bpt.Result: Per-station utilization.
rhs - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
rhsconst - Variable in class jline.api.lqn.LqnBalanceEquations.Relation: Right-hand-side constant.
right - Variable in class jline.api.mc.Ctmc_foxglynn.FoxGlynnWeights
rightMatrixDivide(Matrix) - Method in class jline.util.matrix.Matrix: Performs right matrix division A / B = A * inv(B)
ring() - Method in class jline.util.symbolic.SymContext
RKF45 - Class in jline.lib.ode: Runge-Kutta-Fehlberg 4(5) adaptive ODE integrator.
RKF45(int) - Constructor for class jline.lib.ode.RKF45
RKF45Result - Class in jline.lib.ode: Result returned by RKF45.integrate.
RKF45Result(double[], double[], double, int, double) - Constructor for class jline.lib.ode.RKF45Result
Rlead - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Leading-order (one-term) sojourn times, 1 x K.
RLN - Variable in class jline.solvers.ldes.LNLDESResult: Response time per LQN element [1 x nidx]
RLNCI - Variable in class jline.solvers.ldes.LNLDESResult: Response time confidence interval half-widths [1 x nidx]
Rlo - Variable in class jline.solvers.uq.SolverUQ.Interval: Response-time endpoints.
Rmax - Variable in class jline.api.fj.FJ_bounds.FJBoundsResult
RMFAnalyzer - Class in jline.solvers.fluid.analyzers: Integrated cache-queueing network analyzer using fluid approximation.
RMFAnalyzer() - Constructor for class jline.solvers.fluid.analyzers.RMFAnalyzer
Rmin - Variable in class jline.api.fj.FJ_bounds.FJBoundsResult
RN - Variable in class jline.api.lqn.Lqn_mol.Result
RN - Variable in class jline.api.sum.Sum_closed.Result: MxR residence times, RN=QN/XN
RN - Variable in class jline.api.sum.Sum_closing.Result: MxR residence times at the original stations
RN - Variable in class jline.io.Ret.pfqnAB: Response time matrix (M x R)
RN - Variable in class jline.io.Ret.pfqnSchmidt: Response time matrix (M x R)
RN - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult
RN - Variable in class jline.solvers.ctmc.handlers.Ctmc_avg_from_pi.Result
RN - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
RN - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
RN - Variable in class jline.solvers.mam.handlers.MetricsResult
RN - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Avg
RN - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
RN - Variable in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer.CftpResult
RN - Variable in class jline.solvers.SolverResult: Mean response times [stations x classes]
RN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
RN - Variable in class jline.solvers.tr.FJTagTransform.Lifted
RNCI - Variable in class jline.solvers.ldes.LDESResult: Confidence interval half-widths for response times [stations x classes]
RNCI - Variable in class jline.solvers.ssa.SSAResult: Confidence interval half-widths for response times [stations x classes]
RNfcr - Variable in class jline.solvers.SolverResult: FCR mean response times (wait time at ingress) [regions x classes]
RNRelPrec - Variable in class jline.solvers.ldes.LDESResult: Relative precision achieved for response times (CI half-width / mean) [stations x classes]
RNSamples - Variable in class jline.solvers.ldes.LDESResult: Number of samples (observations) used for response time estimation [stations x classes]
RNt - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
RNt - Variable in class jline.solvers.SolverResult: Transient response times [time_points][stations x classes]
robustLeftDivide(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Robust linear solve for A·X = B that handles singular matrices.
robustSizing() - Static method in class jline.examples.opt.LineOptExamples: Worst-case sizing across an average and a peak workload scenario.
Rodas - Class in jline.util.ode: RODAS -- Rosenbrock method of order (3)4 for stiff and differential-algebraic systems M y' = f(x,y), including a SINGULAR mass matrix (index-1 DAE).
Rodas.Dense - Class in jline.util.ode: CONTRO: the third-order interpolant RODAS carries over the step just accepted.
Rodas.Dfx - Interface in jline.util.ode: df/dx, for a non-autonomous system.
Rodas.Fcn - Interface in jline.util.ode: The right hand side f(x,y).
Rodas.Jac - Interface in jline.util.ode: df/dy.
Rodas.Mas - Interface in jline.util.ode: The mass matrix.
Rodas.Options - Class in jline.util.ode: The Fortran switches, with rodas.f's own defaults.
Rodas.Result - Class in jline.util.ode: Where the integration ended, and what it cost.
Rodas.RodasInputException - Exception in jline.util.ode: Raised for an input rodas.f itself rejects before integrating.
Rodas.Solout - Interface in jline.util.ode: Called after each accepted step when iout != 0; negative stops.
RodasInputException(String) - Constructor for exception jline.util.ode.Rodas.RodasInputException
root - Variable in class jline.api.mdd.MddStruct: Id of the top (level-0) node; MDD.TERM_FALSE for the empty set.
root - Variable in class jline.lang.workflow.Workflow.SPTree: Root node index.
roots(double[]) - Static method in class jline.util.Maths
roots(Matrix) - Static method in class jline.util.Maths
rotate - Variable in class jline.lang.state.CtmcPool: True when the ALIS/FAIRNESS pool order is part of the state.
roundMarginalPreservingChains(Matrix, NetworkStruct) - Static method in class jline.lang.state.State: Rounds a fractional marginal queue-length matrix (station x class) to integers with the largest remainder method, so that every closed chain keeps exactly its own population.
route - Variable in class jline.io.Ret.pfqnQlenMoments
route(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_lekt: The side the estimator is computed on: "kt" when R <= M or a class self-loops (one nonzero demand and no think time, which pfqn_kt extracts exactly), "le" otherwise.
route_prob_updmap - Variable in class jline.solvers.ln.SolverLN
routeprob - Variable in class jline.inference.api.VariationalSpec: (T) routing probability of each transition.
Router - Class in jline.lang.nodes: A node that routes jobs without imposing any delay
Router - Enum constant in enum jline.lang.constant.NodeType: Router node - directs jobs without service time
Router(Network, String) - Constructor for class jline.lang.nodes.Router: Creates a new router node that routes jobs without delay.
ROUTER - Enum constant in enum jline.io.ModelVisualizer.NodeType
routereset - Variable in class jline.solvers.ln.SolverLN
routerNodes - Variable in class jline.api.wf.Wf_analyzer.NodeClassification
routerNodes - Variable in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
routing - Variable in class jline.lang.NetworkStruct
ROUTING - Enum constant in enum jline.io.ModelVisualizer.EdgeType
RoutingErgodicity - Class in jline.lang: The repair side of routing reducibility: what to do once Network.isRoutingErgodic() has said the routing is reducible.
RoutingErgodicity.ReducibilityInfo - Class in jline.lang: Network.RoutingErgodicityResult with the repairs attached, the MATLAB getReducibilityInfo struct.
RoutingErgodicityResult() - Constructor for class jline.lang.Network.RoutingErgodicityResult
RoutingMatrix - Class in jline.lang: Class representing a probabilistic routing matrix
RoutingMatrix() - Constructor for class jline.lang.RoutingMatrix
RoutingMatrix(Network, List<JobClass>, List<Node>) - Constructor for class jline.lang.RoutingMatrix
RoutingMatrix.RtOrigResult - Class in jline.lang: Return value of RoutingMatrix.rtnodes2rtorig(NetworkStruct), twin of the MATLAB [rtorigcell, rtorig] pair.
routingMatrixReturn(Matrix, Matrix, Matrix, Matrix, Map<JobClass, Map<JobClass, Matrix>>, Map<Node, Map<Node, Matrix>>) - Constructor for class jline.lang.Network.routingMatrixReturn
RoutingProbabilities - Class in jline.opt.variables: Optimize the routing probabilities of a job class from a source node to a list of target nodes.
RoutingProbabilities(JobClass, Node, List<Node>) - Constructor for class jline.opt.variables.RoutingProbabilities
RoutingProbabilities(JobClass, Node, List<Node>, String) - Constructor for class jline.opt.variables.RoutingProbabilities
RoutingStrategy - Enum in jline.lang.constant: Enumeration of routing strategies that determine how jobs are dispatched to downstream stations.
row - Variable in class jline.util.matrix.MatrixEntry: Row index of the entry.
Row(int, int, int, double, double) - Constructor for class jline.solvers.fluid.petri.PetriImmediate.Row
rowIncrease(int, double) - Method in class jline.util.matrix.Matrix: Increases all elements in the specified row by a scalar value.
rows - Variable in class jline.lang.state.Polling.Landing: Successor [buffer, server, local-var] rows.
rows - Variable in class jline.solvers.fluid.petri.PetriImmediate: The equations.
rows - Variable in class jline.solvers.uq.SolverUQ.PosteriorTable
rowSum - Variable in class jline.api.mdd.MddLocalMatrix: rowSum[i] is the local enabling rate lambda[i].
rowSums(Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Row vector of row-sums (each row summed across columns).
RowView - Class in jline.util.matrix: A lightweight view into a row of a sparse matrix that doesn't copy data.
rqna_alpha - Variable in class jline.solvers.SolverOptions.Config: RQNA alpha correction terms toggle (eq.
rqna_beta - Variable in class jline.solvers.SolverOptions.Config: RQNA beta correction terms toggle (eqs.
rqna_feedback_elim - Variable in class jline.solvers.SolverOptions.Config: RQNA (Robust Queueing Network Analyzer) near-immediate feedback elimination toggle.
rqt_alpha_a - Variable in class jline.solvers.SolverOptions.Config: RQT tail coefficient in (1,2] of the external arrival processes.
rqt_alpha_s - Variable in class jline.solvers.SolverOptions.Config: RQT tail coefficient in (1,2] of the service processes.
rqt_exact - Variable in class jline.solvers.SolverOptions.Config: RQT toggle replacing the closed-form bound of Theorem 3 by the exact worst case over the uncertainty sets.
rqt_regime - Variable in class jline.solvers.SolverOptions.Config: RQT (Robust Queueing Theory) service adaptation regime of Table 1: "independent" (default, service distribution unknown), "normal" or "pareto".
RR - Enum constant in enum jline.lang.constant.ReplacementStrategy
RR - Enum constant in enum jline.lib.butools.mam.GM1FundamentalMatrix.GM1Method
RR - Enum constant in enum jline.lib.butools.mam.MG1FundamentalMatrix.MG1Method
Rreq - Variable in class jline.api.fj.FJ_parallel.FJResptBulkResult
RROBIN - Enum constant in enum jline.lang.constant.RoutingStrategy: Round Robin - destinations visited in cyclic order
rt - Variable in class jline.lang.Network.routingMatrixReturn
rt - Variable in class jline.lang.NetworkStruct
Rtask - Variable in class jline.api.fj.FJ_parallel.FJResptBulkResult
rtnodes - Variable in class jline.lang.Network.routingMatrixReturn
rtnodes - Variable in class jline.lang.NetworkStruct
rtnodes2rtorig(NetworkStruct) - Static method in class jline.lang.RoutingMatrix: Recovers the routing matrix as declared by the user, before the class switch nodes were materialised, by stochastic complementation of sn.rtnodes on the nodes preceding the first CS_ node.
rtNodesByClass - Variable in class jline.lang.Network.routingMatrixReturn
rtNodesByStation - Variable in class jline.lang.Network.routingMatrixReturn
rtorig - Variable in class jline.lang.NetworkStruct
rtorig - Variable in class jline.lang.RoutingMatrix.RtOrigResult: The (nodes*classes)-square stochastic complement over the pre-class-switch nodes.
rtorigcell - Variable in class jline.lang.RoutingMatrix.RtOrigResult: rtorigcell[r][s] holds the node-by-node probabilities from class r to class s.
RtOrigResult(List<List<Matrix>>, Matrix) - Constructor for class jline.lang.RoutingMatrix.RtOrigResult
Rtot - Variable in class jline.api.fj.FJ_parallel.FJSerializationResult
Rtot - Variable in class jline.api.pfqn.mva.Pfqn_mva_interval.Result: Total response-time interval (1 x 2).
Rtot - Variable in class jline.solvers.uq.SolverUQ.Interval: Total response-time interval (1 x 2); null off the exact path.
RTp - Variable in class jline.lib.fjcodes.MainFJ.FJPercentileResult
RULE_BAS - Static variable in class jline.api.nc.Me_oqn_blk: Drop rule marker: a blocked job is held in the upstream server.
RULE_LOSS - Static variable in class jline.api.nc.Me_oqn_blk: Drop rule marker: a blocked job is discarded.
run() - Method in interface jline.examples.parity.ParityExample.Body
run(Da_fpi.Sweep<T>, T, Da_fpi.Options<T>) - Static method in class jline.api.da.Da_fpi: Drive the fixed point by successive substitution.
run(Network, NetworkStruct, SolverOptions, FJFixedPoint.FJState, FJFixedPoint.InnerSolve, long) - Static method in class jline.solvers.fj.FJFixedPoint: Runs the fork-join fixed point, or the inner solve once when the model has no fork.
run(Network, NetworkStruct, SolverOptions, TransformSolve.InnerSolve) - Static method in class jline.solvers.tr.TransformSolve: Runs the transformation named by options.config.transform.
run_solvers(Network) - Static method in class jline.examples.java.basic.DelayedHitsExamples
runAll() - Static method in class jline.bench.cqn.BenchCQN_RM: Run all repairmen benchmarks for both FCFS and PS scheduling
runAll() - Static method in class jline.bench.fj.BenchFJ_Closed: Run all closed FJ benchmarks
runAll() - Static method in class jline.bench.fj.BenchFJ_FCFS: Run all FCFS benchmarks
runAll() - Static method in class jline.bench.fj.BenchFJ_Mixed: Run all mixed FJ benchmarks
runAll() - Static method in class jline.bench.fj.BenchFJ_Nested: Run all nested FJ benchmarks
runAll() - Static method in class jline.bench.fj.BenchFJ_Open: Run all open FJ benchmarks
runAll() - Static method in class jline.bench.fj.BenchFJ_PS: Run all PS benchmarks
runAll() - Static method in class jline.bench.lqn.BenchLQN_Custom: Run all LQN benchmarks with Custom solver
runAll() - Static method in class jline.bench.lqn.BenchLQN_Default: Run all LQN benchmarks with Default solver
runAll() - Static method in class jline.bench.lqn.BenchLQN_Fluid: Run all LQN benchmarks with Fluid solver
runAll() - Static method in class jline.bench.lqn.BenchLQN_LQNS: Run all LQN benchmarks with LQNS solver
runAll() - Static method in class jline.bench.lqn.BenchLQN_MVA: Run all LQN benchmarks with MVA solver
runAll() - Static method in class jline.bench.lqn.BenchLQN_NC: Run all LQN benchmarks with NC solver
runAll() - Static method in class jline.bench.lqn.BenchLQN_SRVN: Run all LQN benchmarks with SRVN solver
runAll() - Static method in class jline.bench.lqn.SimpleLQNBenchmark: Run all LQN benchmarks
runAll() - Static method in class jline.bench.mqn.BenchMQN_FCFS: Run all FCFS benchmarks
runAll() - Static method in class jline.bench.mqn.BenchMQN_PS: Run all PS benchmarks
runAll() - Static method in class jline.bench.oqn.BenchOQN_FCFS: Run all FCFS benchmarks
runAll() - Static method in class jline.bench.oqn.BenchOQN_PS: Run all PS benchmarks
runAll() - Method in class jline.unified.UnifiedTestRunner
runAll(boolean) - Method in class jline.unified.UnifiedTestRunner
runAnalyzer() - Method in class jline.examples.java.advanced.SolverCustom: Runs the solver: read the structure, call the analyzer, publish results.
runAnalyzer() - Method in class jline.solvers.ag.SolverAG
runAnalyzer() - Method in class jline.solvers.auto.SolverAUTO: Override the main run method to ensure proper delegation
runAnalyzer() - Method in class jline.solvers.ba.SolverBA
runAnalyzer() - Method in class jline.solvers.ctmc.SolverCTMC
runAnalyzer() - Method in class jline.solvers.env.SolverENV
runAnalyzer() - Method in class jline.solvers.fluid.SolverFluid: Runs the fluid analyzer to solve the queueing network.
runAnalyzer() - Method in class jline.solvers.ldes.SolverLDES
runAnalyzer() - Method in class jline.solvers.ln.SolverLN
runAnalyzer() - Method in class jline.solvers.mam.SolverMAM
runAnalyzer() - Method in class jline.solvers.mva.SolverMVA: Runs the MVA analyzer to solve the queueing network.
runAnalyzer() - Method in class jline.solvers.nc.SolverNC
runAnalyzer() - Method in class jline.solvers.Solver: Executes the solver algorithm to analyze the model.
runAnalyzer() - Method in class jline.solvers.ssa.SolverSSA
runAnalyzer() - Method in class jline.solvers.uq.SolverUQ: Runs the posterior analysis.
runAnalyzer() - Method in class jline.solvers.wrappers.jmt.SolverJMT
runAnalyzer() - Method in class jline.solvers.wrappers.lqns.qnsolver.Solver_qns_analyzer: Run the qnsolver analyzer.
runAnalyzer() - Method in class jline.solvers.wrappers.lqns.SolverLQNS
runAnalyzer(SolverAvgHandles) - Method in class jline.solvers.mva.handlers.MVARunner: runAnalyzer() method from LINE.
runAnalyzer(SolverOptions) - Method in class jline.solvers.wrappers.lqns.SolverLQNS
runAnalyzerByCTMC() - Method in class jline.solvers.env.SolverENV
runAnalyzerChecks(SolverOptions) - Method in class jline.solvers.fluid.SolverFluid
runAnalyzerChecks(SolverOptions) - Method in class jline.solvers.NetworkSolver: Validates model compatibility and method support before analysis.
runAnalyzerChecks(SolverOptions) - Method in class jline.solvers.Solver: Performs validation checks before running the analyzer.
runBenchmark(String, int, double, int, SchedStrategy) - Static method in class jline.bench.mqn.BenchMQNTemplate: Run a standard MQN benchmark (1 open + 1 closed class)
runBenchmark(String, int, double, SchedStrategy) - Static method in class jline.bench.oqn.BenchOQNTemplate: Run a single-class OQN benchmark
runBenchmark(String, int, int, int, int, boolean, boolean) - Static method in class jline.bench.cqn.BenchCQNTemplate: Core benchmark implementation template
runBenchmark(String, int, int, int, int, boolean, boolean, SchedStrategy) - Static method in class jline.bench.cqn.BenchCQNTemplate: Core benchmark implementation template with explicit scheduling strategy
runBenchmark(String, int, SchedStrategy, BenchFJ_Template.FJConfig, boolean, int) - Static method in class jline.bench.fj.BenchFJ_Template: Core benchmark implementation
runConfiguration(int, int, int, int, String) - Static method in class jline.bench.lqn.BenchLQN_Custom: Run benchmarks for a specific configuration with Custom solver
runConfiguration(int, int, int, int, String) - Static method in class jline.bench.lqn.BenchLQN_Default: Run benchmarks for a specific configuration with Default solver
runConfiguration(int, int, int, int, String) - Static method in class jline.bench.lqn.BenchLQN_Fluid: Run benchmarks for a specific configuration with Fluid solver
runConfiguration(int, int, int, int, String) - Static method in class jline.bench.lqn.BenchLQN_LQNS: Run benchmarks for a specific configuration with LQNS solver
runConfiguration(int, int, int, int, String) - Static method in class jline.bench.lqn.BenchLQN_MVA: Run benchmarks for a specific configuration with MVA solver
runConfiguration(int, int, int, int, String) - Static method in class jline.bench.lqn.BenchLQN_NC: Run benchmarks for a specific configuration with NC solver
runConfiguration(int, int, int, int, String) - Static method in class jline.bench.lqn.BenchLQN_SRVN: Run benchmarks for a specific configuration with SRVN solver
runConfiguration(int, int, int, int, String) - Static method in class jline.bench.lqn.SimpleLQNBenchmark: Run benchmarks for a specific configuration
runFCFSBenchmarks() - Static method in class jline.bench.cqn.BenchCQN_RM: Run only FCFS repairmen benchmarks
runFCFSOnly() - Static method in class jline.bench.cqn.BenchCQN_RM: Run FCFS repairmen benchmarks only, with immediate formatted output
runHeterogeneousFCFS() - Static method in class jline.bench.fj.BenchFJ_Closed: Run heterogeneous FCFS benchmarks
runHeterogeneousFCFS() - Static method in class jline.bench.fj.BenchFJ_Mixed: Run heterogeneous FCFS benchmarks
runHeterogeneousFCFS() - Static method in class jline.bench.fj.BenchFJ_Open: Run heterogeneous FCFS benchmarks
runHeterogeneousPS() - Static method in class jline.bench.fj.BenchFJ_Closed: Run heterogeneous PS benchmarks
runHeterogeneousPS() - Static method in class jline.bench.fj.BenchFJ_Mixed: Run heterogeneous PS benchmarks
runHeterogeneousPS() - Static method in class jline.bench.fj.BenchFJ_Open: Run heterogeneous PS benchmarks
runHicvHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 High CV High Load benchmark
runHicvHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 High CV High Load benchmark
runHicvHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 High CV High Load benchmark
runHicvHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 High CV High Load benchmark
runHicvLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 High CV Light Load benchmark
runHicvLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 High CV Light Load benchmark
runHicvLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 High CV Light Load benchmark
runHicvLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 High CV Light Load benchmark
runHicvMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 High CV Mid Load benchmark
runHicvMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 High CV Mid Load benchmark
runHicvMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 High CV Mid Load benchmark
runHicvMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 High CV Mid Load benchmark
runHighLoad() - Static method in class jline.bench.cqn.BenchCQN_FCFS
runHighLoad() - Static method in class jline.bench.cqn.BenchCQN_PS
runHighLoad() - Static method in class jline.bench.fj.BenchFJ_FCFS
runHighLoad() - Static method in class jline.bench.mqn.BenchMQN_FCFS
runHighLoad() - Static method in class jline.bench.mqn.BenchMQN_PS
runHighLoad() - Static method in class jline.bench.oqn.BenchOQN_FCFS
runHighLoad() - Static method in class jline.bench.oqn.BenchOQN_PS
runHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_FCFS
runHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS
runHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 High Load benchmark
runHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 High Load benchmark
runHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 High Load benchmark
runHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 High Load benchmark
runHighLoad(int) - Static method in class jline.bench.mqn.BenchMQN_FCFS
runHighLoad(int) - Static method in class jline.bench.mqn.BenchMQN_PS
runHighLoad(int) - Static method in class jline.bench.oqn.BenchOQN_FCFS
runHighLoad(int) - Static method in class jline.bench.oqn.BenchOQN_PS
runHighPopBenchmark(String, int, double, int, SchedStrategy) - Static method in class jline.bench.mqn.BenchMQNTemplate: Run MQN benchmark with higher closed population
runHipopHighLoad() - Static method in class jline.bench.mqn.BenchMQN_FCFS
runHipopHighLoad() - Static method in class jline.bench.mqn.BenchMQN_PS
runHipopHighLoad(int) - Static method in class jline.bench.mqn.BenchMQN_FCFS
runHipopHighLoad(int) - Static method in class jline.bench.mqn.BenchMQN_PS
runHipopLightLoad() - Static method in class jline.bench.mqn.BenchMQN_FCFS
runHipopLightLoad() - Static method in class jline.bench.mqn.BenchMQN_PS
runHipopLightLoad(int) - Static method in class jline.bench.mqn.BenchMQN_FCFS
runHipopLightLoad(int) - Static method in class jline.bench.mqn.BenchMQN_PS
runHipopMidLoad() - Static method in class jline.bench.mqn.BenchMQN_FCFS
runHipopMidLoad() - Static method in class jline.bench.mqn.BenchMQN_PS
runHipopMidLoad(int) - Static method in class jline.bench.mqn.BenchMQN_FCFS
runHipopMidLoad(int) - Static method in class jline.bench.mqn.BenchMQN_PS
runHomogeneousFCFS() - Static method in class jline.bench.fj.BenchFJ_Closed: Run homogeneous FCFS benchmarks
runHomogeneousFCFS() - Static method in class jline.bench.fj.BenchFJ_Mixed: Run homogeneous FCFS benchmarks
runHomogeneousFCFS() - Static method in class jline.bench.fj.BenchFJ_Open: Run homogeneous FCFS benchmarks
runHomogeneousPS() - Static method in class jline.bench.fj.BenchFJ_Closed: Run homogeneous PS benchmarks
runHomogeneousPS() - Static method in class jline.bench.fj.BenchFJ_Mixed: Run homogeneous PS benchmarks
runHomogeneousPS() - Static method in class jline.bench.fj.BenchFJ_Open: Run homogeneous PS benchmarks
runLengthPlan - Variable in class jline.solvers.SolverOptions.Config: `options.config.runLengthPlan`: ask a simulation solver how long its run SHOULD have been for a target relative precision.
runLengthPlan - Variable in class jline.solvers.SolverResult: `options.config.runLengthPlan`: the run length the caller would need for the precision they asked for, as computed by SimRunlength.sim_runlength_plan(jline.util.matrix.Matrix, jline.util.matrix.Matrix, double, double, double).
runLightLoad() - Static method in class jline.bench.cqn.BenchCQN_FCFS
runLightLoad() - Static method in class jline.bench.cqn.BenchCQN_PS
runLightLoad() - Static method in class jline.bench.fj.BenchFJ_FCFS
runLightLoad() - Static method in class jline.bench.mqn.BenchMQN_FCFS
runLightLoad() - Static method in class jline.bench.mqn.BenchMQN_PS
runLightLoad() - Static method in class jline.bench.oqn.BenchOQN_FCFS
runLightLoad() - Static method in class jline.bench.oqn.BenchOQN_PS
runLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_FCFS
runLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS
runLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 Light Load benchmark
runLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 Light Load benchmark
runLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 Light Load benchmark
runLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 Light Load benchmark
runLightLoad(int) - Static method in class jline.bench.mqn.BenchMQN_FCFS
runLightLoad(int) - Static method in class jline.bench.mqn.BenchMQN_PS
runLightLoad(int) - Static method in class jline.bench.oqn.BenchOQN_FCFS
runLightLoad(int) - Static method in class jline.bench.oqn.BenchOQN_PS
runMc2HicvHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc2HicvHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc2HicvLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc2HicvLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc2HicvMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc2HicvMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc2HighLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc2HighLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc2LightLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc2LightLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc2MidLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc2MidLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc3HicvHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc3HicvHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc3HicvLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc3HicvLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc3HicvMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc3HicvMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc3HighLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc3HighLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc3LightLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc3LightLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc3MidLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc3MidLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc4HicvHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc4HicvHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc4HicvLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc4HicvLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc4HicvMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc4HicvMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc4HighLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc4HighLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc4LightLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc4LightLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMc4MidLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMc4MidLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMcHicvHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMcHicvHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMcHicvLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMcHicvLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMcHicvMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMcHicvMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMcHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMcHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMcLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMcLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMcMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runMcMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runMethodSpecificAnalyzer() - Method in class jline.solvers.fluid.SolverFluid
runMethodSpecificAnalyzer() - Method in class jline.solvers.ldes.SolverLDES: Run the LDES analyzer with current options including init_sol.
runMidLoad() - Static method in class jline.bench.cqn.BenchCQN_FCFS
runMidLoad() - Static method in class jline.bench.cqn.BenchCQN_PS
runMidLoad() - Static method in class jline.bench.fj.BenchFJ_FCFS
runMidLoad() - Static method in class jline.bench.mqn.BenchMQN_FCFS
runMidLoad() - Static method in class jline.bench.mqn.BenchMQN_PS
runMidLoad() - Static method in class jline.bench.oqn.BenchOQN_FCFS
runMidLoad() - Static method in class jline.bench.oqn.BenchOQN_PS
runMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_FCFS
runMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS
runMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 Mid Load benchmark
runMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 Mid Load benchmark
runMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 Mid Load benchmark
runMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 Mid Load benchmark
runMidLoad(int) - Static method in class jline.bench.mqn.BenchMQN_FCFS
runMidLoad(int) - Static method in class jline.bench.mqn.BenchMQN_PS
runMidLoad(int) - Static method in class jline.bench.oqn.BenchOQN_FCFS
runMidLoad(int) - Static method in class jline.bench.oqn.BenchOQN_PS
runModel(String) - Static method in class jline.bench.lqn.BenchLQN_Default: Run a single LQN model with Default solver
runModel(String) - Static method in class jline.bench.lqn.BenchLQN_Fluid: Run a single LQN model with Fluid solver
runModel(String) - Static method in class jline.bench.lqn.BenchLQN_LQNS: Run a single LQN model with LQNS solver
runModel(String) - Static method in class jline.bench.lqn.BenchLQN_MVA: Run a single LQN model with MVA solver
runModel(String) - Static method in class jline.bench.lqn.BenchLQN_NC: Run a single LQN model with NC solver
runModel(String) - Static method in class jline.bench.lqn.BenchLQN_SRVN: Run a single LQN model with SRVN solver
runModel(String) - Method in class jline.unified.UnifiedTestRunner
runModel(String, boolean) - Method in class jline.unified.UnifiedTestRunner
runModel(String, boolean, boolean) - Method in class jline.unified.UnifiedTestRunner
runModel(String, SolverType) - Static method in class jline.bench.lqn.SimpleLQNBenchmark: Run a single LQN model with a specific solver
runModel(String, SolverType, double, int) - Static method in class jline.bench.lqn.BenchLQN_Custom: Run a single LQN model with Custom solver configuration
runMulticlassBenchmark(String, int, double, double, SchedStrategy) - Static method in class jline.bench.oqn.BenchOQNTemplate: Run a multiclass OQN benchmark
runMulticlassHighLoad() - Static method in class jline.bench.oqn.BenchOQN_FCFS
runMulticlassHighLoad() - Static method in class jline.bench.oqn.BenchOQN_PS
runMulticlassHighLoad(int) - Static method in class jline.bench.oqn.BenchOQN_FCFS
runMulticlassHighLoad(int) - Static method in class jline.bench.oqn.BenchOQN_PS
runMulticlassLightLoad() - Static method in class jline.bench.oqn.BenchOQN_FCFS
runMulticlassLightLoad() - Static method in class jline.bench.oqn.BenchOQN_PS
runMulticlassLightLoad(int) - Static method in class jline.bench.oqn.BenchOQN_FCFS
runMulticlassLightLoad(int) - Static method in class jline.bench.oqn.BenchOQN_PS
runMulticlassMidLoad() - Static method in class jline.bench.oqn.BenchOQN_FCFS
runMulticlassMidLoad() - Static method in class jline.bench.oqn.BenchOQN_PS
runMulticlassMidLoad(int) - Static method in class jline.bench.oqn.BenchOQN_FCFS
runMulticlassMidLoad(int) - Static method in class jline.bench.oqn.BenchOQN_PS
runMultiserverHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 Multiserver High Load benchmark
runMultiserverHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 Multiserver High Load benchmark
runMultiserverHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 Multiserver High Load benchmark
runMultiserverHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 Multiserver High Load benchmark
runMultiserverLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 Multiserver Light Load benchmark
runMultiserverLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 Multiserver Light Load benchmark
runMultiserverLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 Multiserver Light Load benchmark
runMultiserverLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 Multiserver Light Load benchmark
runMultiserverMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 Multiserver Mid Load benchmark
runMultiserverMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 Multiserver Mid Load benchmark
runMultiserverMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 Multiserver Mid Load benchmark
runMultiserverMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 Multiserver Mid Load benchmark
runnable - Variable in class jline.solvers.auto.SolverCandidate: True when the model passes this method's own support gate.
runNestedClosedFCFS() - Static method in class jline.bench.fj.BenchFJ_Nested: Run nested closed FCFS benchmarks
runNestedClosedPS() - Static method in class jline.bench.fj.BenchFJ_Nested: Run nested closed PS benchmarks
runNestedMixedFCFS() - Static method in class jline.bench.fj.BenchFJ_Nested: Run nested mixed FCFS benchmarks
runNestedMixedPS() - Static method in class jline.bench.fj.BenchFJ_Nested: Run nested mixed PS benchmarks
runNestedOpenFCFS() - Static method in class jline.bench.fj.BenchFJ_Nested: Run nested open FCFS benchmarks
runNestedOpenPS() - Static method in class jline.bench.fj.BenchFJ_Nested: Run nested open PS benchmarks
runPSBenchmarks() - Static method in class jline.bench.cqn.BenchCQN_RM: Run only PS repairmen benchmarks
runPSOnly() - Static method in class jline.bench.cqn.BenchCQN_RM: Run PS repairmen benchmarks only, with immediate formatted output
runRegressionTest(String, List<BenchmarkRegression.BenchmarkResult>) - Static method in class jline.bench.BenchmarkRegression: Run regression test for a benchmark suite
runRemote(String, String, int, SolverOptions) - Static method in class jline.solvers.wrappers.jmt.JmtBackend: Runs one JMT analysis through the backend the options select, when that backend is not the local JVM.
runRewardAnalyzer() - Method in class jline.solvers.ctmc.SolverCTMC: Run the reward analyzer and cache results.
runRMBenchmarks() - Static method in class jline.bench.cqn.BenchCQN_FCFS: Run only the repairmen (RM) benchmarks with formatted output
runRMBenchmarks() - Static method in class jline.bench.cqn.BenchCQN_PS: Run only the repairmen (RM) benchmarks with formatted output
runRmHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 Random Mapping High Load benchmark
runRmHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 Random Mapping High Load benchmark
runRmHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 Random Mapping High Load benchmark
runRmHighLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 Random Mapping High Load benchmark
runRMHighLoad() - Static method in class jline.bench.cqn.BenchCQN_FCFS: Run only RM high load benchmarks
runRMHighLoad() - Static method in class jline.bench.cqn.BenchCQN_PS: Run only RM high load benchmarks
runRmLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 Random Mapping Light Load benchmark
runRmLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 Random Mapping Light Load benchmark
runRmLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 Random Mapping Light Load benchmark
runRmLightLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 Random Mapping Light Load benchmark
runRMLightLoad() - Static method in class jline.bench.cqn.BenchCQN_FCFS: Run only RM light load benchmarks
runRMLightLoad() - Static method in class jline.bench.cqn.BenchCQN_PS: Run only RM light load benchmarks
runRmMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS1: CQN PS1 Random Mapping Mid Load benchmark
runRmMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS2: CQN PS2 Random Mapping Mid Load benchmark
runRmMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS3: CQN PS3 Random Mapping Mid Load benchmark
runRmMidLoad(int) - Static method in class jline.bench.cqn.BenchCQN_PS4: CQN PS4 Random Mapping Mid Load benchmark
runRMMidLoad() - Static method in class jline.bench.cqn.BenchCQN_FCFS: Run only RM mid load benchmarks
runRMMidLoad() - Static method in class jline.bench.cqn.BenchCQN_PS: Run only RM mid load benchmarks
runs - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitPhOptions
runScHicvHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runScHicvHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runScHicvLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runScHicvLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runScHicvMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runScHicvMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runScHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runScHighLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runScLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runScLightLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runScMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_FCFS
runScMidLoad(int) - Static method in class jline.bench.fj.BenchFJ_PS
runTandemBenchmark(String, int, double, int, SchedStrategy) - Static method in class jline.bench.mqn.BenchMQNTemplate: Run a tandem MQN benchmark (longer chain)
runTandemBenchmark(String, int, double, SchedStrategy) - Static method in class jline.bench.oqn.BenchOQNTemplate: Run a tandem OQN benchmark (longer chain)
runTandemHighLoad() - Static method in class jline.bench.mqn.BenchMQN_FCFS
runTandemHighLoad() - Static method in class jline.bench.mqn.BenchMQN_PS
runTandemHighLoad() - Static method in class jline.bench.oqn.BenchOQN_FCFS
runTandemHighLoad() - Static method in class jline.bench.oqn.BenchOQN_PS
runTandemHighLoad(int) - Static method in class jline.bench.mqn.BenchMQN_FCFS
runTandemHighLoad(int) - Static method in class jline.bench.mqn.BenchMQN_PS
runTandemHighLoad(int) - Static method in class jline.bench.oqn.BenchOQN_FCFS
runTandemHighLoad(int) - Static method in class jline.bench.oqn.BenchOQN_PS
runTandemLightLoad() - Static method in class jline.bench.mqn.BenchMQN_FCFS
runTandemLightLoad() - Static method in class jline.bench.mqn.BenchMQN_PS
runTandemLightLoad() - Static method in class jline.bench.oqn.BenchOQN_FCFS
runTandemLightLoad() - Static method in class jline.bench.oqn.BenchOQN_PS
runTandemLightLoad(int) - Static method in class jline.bench.mqn.BenchMQN_FCFS
runTandemLightLoad(int) - Static method in class jline.bench.mqn.BenchMQN_PS
runTandemLightLoad(int) - Static method in class jline.bench.oqn.BenchOQN_FCFS
runTandemLightLoad(int) - Static method in class jline.bench.oqn.BenchOQN_PS
runTandemMidLoad() - Static method in class jline.bench.mqn.BenchMQN_FCFS
runTandemMidLoad() - Static method in class jline.bench.mqn.BenchMQN_PS
runTandemMidLoad() - Static method in class jline.bench.oqn.BenchOQN_FCFS
runTandemMidLoad() - Static method in class jline.bench.oqn.BenchOQN_PS
runTandemMidLoad(int) - Static method in class jline.bench.mqn.BenchMQN_FCFS
runTandemMidLoad(int) - Static method in class jline.bench.mqn.BenchMQN_PS
runTandemMidLoad(int) - Static method in class jline.bench.oqn.BenchOQN_FCFS
runTandemMidLoad(int) - Static method in class jline.bench.oqn.BenchOQN_PS
runtime - Variable in class jline.io.Ret.DistributionResult: Runtime for computing the distribution.
runtime - Variable in class jline.io.Ret.pfqnAB: Runtime in seconds
runtime - Variable in class jline.io.Ret.pfqnSchmidt: Runtime in seconds
runtime - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
runtime - Variable in class jline.solvers.ctmc.SolverCTMC.FirstPassageMomentsResult
runtime - Variable in class jline.solvers.ctmc.SolverCTMC.FirstPassageResult
runtime - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
runtime - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
runtime - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
runtime - Variable in class jline.solvers.nc.handlers.Solver_nc_jointmarg.Ret_jointmarg: Wall-clock runtime in seconds.
runtime - Variable in class jline.solvers.nc.SolverNC.SolverNCJointReturn
runtime - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
runtime - Variable in class jline.solvers.nc.SolverNC.SolverNCMargReturn
runtime - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
runtime - Variable in class jline.solvers.SolverResult: Computation time in seconds
runtime - Variable in class jline.solvers.tr.TransformSolve.Result
Rup - Variable in class jline.solvers.uq.SolverUQ.Interval: Response-time endpoints.
RyzerPermanent - Class in jline.lib.perm: Implementation of Ryzer's algorithm to calculate the permanent.
RyzerPermanent(Matrix) - Constructor for class jline.lib.perm.RyzerPermanent
RyzerPermanent(Matrix, String) - Constructor for class jline.lib.perm.RyzerPermanent
RyzerPermanent(Matrix, String, boolean) - Constructor for class jline.lib.perm.RyzerPermanent

S

s - Variable in class jline.api.qsys.QsysMg1PsResult: Requested transform arguments.
s - Variable in class jline.api.sim.QuestOptions: Descending batch counts for the test stages.
s - Variable in class jline.io.Ret.SVD
s - Variable in class jline.lang.sections.CSFunInput: Column index (destination class)
s - Variable in class jline.solvers.fluid.moments.FluidClosures.ShareResult
s - Variable in class jline.util.PopulationLattice.sprodResult
S - Variable in class jline.api.mc.CtmcPassagePh: Sub-generator Q(A,A).
S - Variable in class jline.api.mc.Dtmc_stochcomp.DtmcStochCompResult
S - Variable in class jline.api.qsys.QsysTandemUbResult: Upper bound on P(S > x), the end-to-end sojourn time, capped at one.
S - Variable in class jline.api.spn.Spn_sinvariants.SpnInvariants: S[i][p]: weight of place level p in minimal-support invariant i.
S - Variable in class jline.api.sym.SymEngine.Sensitivity: Unscaled sensitivity d(E[r])/dtheta, Eq.
S - Variable in class jline.io.Ret.snGetProductFormParams
S - Variable in class jline.lib.fjcodes.ComputeT.ComputeTResult
S - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.TraceData
S - Variable in class jline.solvers.ctmc.SolverCTMC.sensitivityResult: Unscaled sensitivity d(E[r])/dtheta, null when no reward was given
S - Variable in class jline.solvers.ctmc.SolverCTMC.StochCompResult
S - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
S - Variable in class jline.solvers.fluid.moments.FluidMomentTerms: Effective server counts, with an infinite server replaced by the closed population.
S - Variable in class jline.util.PopulationLattice.sprodResult
S_Arr - Variable in class jline.lib.fjcodes.ComputeT.ComputeTResult
S_last - Variable in class jline.lib.fjcodes.SRKResult
S_long - Variable in class jline.lib.fjcodes.SRKResult
s0 - Variable in class jline.api.mc.CtmcPassagePh: Exit vector -S*1, as a column.
SaddlePointPermanent - Class in jline.lib.perm: Saddle-point (SPM) approximation of the permanent of a positive matrix.
SaddlePointPermanent(Matrix) - Constructor for class jline.lib.perm.SaddlePointPermanent: Unit multiplicities, not solved on construction.
SaddlePointPermanent(Matrix, boolean) - Constructor for class jline.lib.perm.SaddlePointPermanent: Unit multiplicities, which requires a square matrix.
SaddlePointPermanent(Matrix, int[], boolean) - Constructor for class jline.lib.perm.SaddlePointPermanent: Multiplicities and defaults for tolerance (1e-11) and maxIterations (10000).
SaddlePointPermanent(Matrix, int[], double, int, boolean) - Constructor for class jline.lib.perm.SaddlePointPermanent: Constructor with all parameters.
safe - Variable in class jline.util.ode.Rodas.Options
safeMult(Matrix) - Method in class jline.util.matrix.Matrix
SageRestEngine - Class in jline.api.sym: SymEngine backed by the line-sage-rest service.
SageRestEngine(String) - Constructor for class jline.api.sym.SageRestEngine
sameAs(StateDepRouting) - Method in class jline.lang.StateDepRouting: Structural equality, ignoring the declared node objects.
sample() - Method in class jline.lang.processes.DiscreteSampler
sample() - Method in class jline.lang.processes.MarkovChain: Sample from the DTMC
sample() - Method in class jline.lang.processes.MarkovProcess: Sample from the CTMC
sample() - Method in class jline.lang.processes.Process: Sample a value from the process
sample(int) - Method in class jline.lang.processes.BMMAPt
sample(int) - Method in class jline.lang.processes.Coxian
sample(int) - Method in class jline.lang.processes.Det
sample(int) - Method in class jline.lang.processes.Disabled
sample(int) - Method in class jline.lang.processes.DiscreteSampler
sample(int) - Method in class jline.lang.processes.DiscreteUniform: Gets n samples from the distribution
sample(int) - Method in class jline.lang.processes.Distribution: Generates random samples from this distribution using default random generator.
sample(int) - Method in class jline.lang.processes.DMAP
sample(int) - Method in class jline.lang.processes.Erlang
sample(int) - Method in class jline.lang.processes.Exp
sample(int) - Method in class jline.lang.processes.Gamma
sample(int) - Method in class jline.lang.processes.GMM
sample(int) - Method in class jline.lang.processes.HyperExp: Gets n samples from the distribution
sample(int) - Method in class jline.lang.processes.Immediate: Gets n samples from the distribution
sample(int) - Method in class jline.lang.processes.Lognormal: Gets n samples from the distribution
sample(int) - Method in class jline.lang.processes.MarkedMAP
sample(int) - Method in class jline.lang.processes.MarkedMMPP
sample(int) - Method in class jline.lang.processes.MarkovChain: Sample n steps from the DTMC starting from initial distribution
sample(int) - Method in class jline.lang.processes.Markovian
sample(int) - Method in class jline.lang.processes.MarkovProcess: Sample n state transitions from the CTMC starting from steady-state
sample(int) - Method in class jline.lang.processes.MMAPt
sample(int) - Method in class jline.lang.processes.MMPP2
sample(int) - Method in class jline.lang.processes.MPHt
sample(int) - Method in class jline.lang.processes.Normal
sample(int) - Method in class jline.lang.processes.Pareto: Gets n samples from the distribution
sample(int) - Method in class jline.lang.processes.PH
sample(int) - Method in class jline.lang.processes.Replayer
sample(int) - Method in class jline.lang.processes.Uniform: Gets n samples from the distribution
sample(int) - Method in class jline.lang.processes.Weibull: Gets n samples from the distribution
sample(int) - Method in class jline.lang.processes.Zipf: Gets n samples from the distribution
sample(int, int) - Method in class jline.solvers.NetworkSolver: Samples state trajectories for a specific node.
sample(int, int) - Method in class jline.solvers.wrappers.lqns.SolverLQNS
sample(int, Random) - Method in class jline.lang.processes.Bernoulli
sample(int, Random) - Method in class jline.lang.processes.Binomial
sample(int, Random) - Method in class jline.lang.processes.BMMAPt: Draws n successive inter-epoch times along ONE sample path.
sample(int, Random) - Method in class jline.lang.processes.Coxian
sample(int, Random) - Method in class jline.lang.processes.Det
sample(int, Random) - Method in class jline.lang.processes.Disabled
sample(int, Random) - Method in class jline.lang.processes.DiscreteSampler
sample(int, Random) - Method in class jline.lang.processes.DiscreteUniform
sample(int, Random) - Method in class jline.lang.processes.Distribution: Generates random samples from this distribution using the specified random generator.
sample(int, Random) - Method in class jline.lang.processes.DMAP
sample(int, Random) - Method in class jline.lang.processes.EmpiricalCDF
sample(int, Random) - Method in class jline.lang.processes.Erlang
sample(int, Random) - Method in class jline.lang.processes.Exp
sample(int, Random) - Method in class jline.lang.processes.Expolynomial: Returns an array of n NaNs: sampling an expolynomial density expression is not supported.
sample(int, Random) - Method in class jline.lang.processes.Gamma
sample(int, Random) - Method in class jline.lang.processes.Geometric: Gets n samples from the distribution
sample(int, Random) - Method in class jline.lang.processes.GMM
sample(int, Random) - Method in class jline.lang.processes.HyperExp
sample(int, Random) - Method in class jline.lang.processes.Immediate
sample(int, Random) - Method in class jline.lang.processes.Lognormal
sample(int, Random) - Method in class jline.lang.processes.MAPt: Draws n successive interarrival times along ONE sample path.
sample(int, Random) - Method in class jline.lang.processes.MarkedMAP: Generates samples from the MarkedMAP using the specified random generator.
sample(int, Random) - Method in class jline.lang.processes.MarkedMMPP: Generates samples from the MarkedMMPP using the specified random generator.
sample(int, Random) - Method in class jline.lang.processes.Markovian
sample(int, Random) - Method in class jline.lang.processes.ME: Generates samples from this ME distribution.
sample(int, Random) - Method in class jline.lang.processes.MMAPt: Draws n successive interarrival times along ONE sample path.
sample(int, Random) - Method in class jline.lang.processes.MMPP2
sample(int, Random) - Method in class jline.lang.processes.MPHt
sample(int, Random) - Method in class jline.lang.processes.MultivariateNormal: Generates random samples from the distribution.
sample(int, Random) - Method in class jline.lang.processes.NHPP: Draws n successive interarrival times along one sample path.
sample(int, Random) - Method in class jline.lang.processes.Normal
sample(int, Random) - Method in class jline.lang.processes.Pareto
sample(int, Random) - Method in class jline.lang.processes.PH
sample(int, Random) - Method in class jline.lang.processes.PHt: Draws n successive service times along ONE sample path: sample i starts where sample i-1 completed, not at a fixed epoch.
sample(int, Random) - Method in class jline.lang.processes.Poisson
sample(int, Random) - Method in class jline.lang.processes.Prior: Generates random samples from the Prior (mixture sampling).
sample(int, Random) - Method in class jline.lang.processes.RAP: Generates a correlated sample sequence from this RAP.
sample(int, Random) - Method in class jline.lang.processes.Replayer
sample(int, Random) - Method in class jline.lang.processes.Uniform
sample(int, Random) - Method in class jline.lang.processes.Weibull
sample(int, Random) - Method in class jline.lang.processes.Zipf: Generates samples from the Zipf distribution using the specified random generator.
sample(int, Matrix, Random) - Method in class jline.lang.processes.MarkovChain: Sample n steps from the DTMC
sample(int, Matrix, Random) - Method in class jline.lang.processes.MarkovProcess: Sample n state transitions from the CTMC
sample(Node) - Method in class jline.solvers.auto.SolverAUTO: Alias for sample()
sample(Node) - Method in class jline.solvers.nc.SolverNC: Sample node state trajectory with default number of samples
sample(Node) - Method in class jline.solvers.ssa.SolverSSA: Sample node state evolution using SSA simulation using default sample count
sample(Node, int) - Method in class jline.solvers.auto.SolverAUTO
sample(Node, int) - Method in class jline.solvers.nc.SolverNC: Sample node state trajectory
sample(Node, int) - Method in class jline.solvers.ssa.SolverSSA: Sample node state evolution using SSA simulation
sample(Node, Integer, boolean) - Method in class jline.solvers.ssa.SolverSSA: Sample node state evolution using SSA simulation
sample(StatefulNode, int) - Method in class jline.solvers.ctmc.SolverCTMC
sample(StatefulNode, int) - Method in class jline.solvers.ldes.SolverLDES: Generates a sample path (state trajectory) for a specific node using LDES transient simulation.
sampleAccepted - Variable in class jline.lib.perm.AdaPartSampler
sampleAggr(int, int) - Method in class jline.solvers.NetworkSolver: Samples aggregated state trajectories for a specific node.
sampleAggr(int, int) - Method in class jline.solvers.wrappers.lqns.SolverLQNS
sampleAggr(Node) - Method in class jline.solvers.ssa.SolverSSA: Sample aggregated node state evolution using SSA simulation using default sample count
sampleAggr(Node) - Method in class jline.solvers.wrappers.jmt.SolverJMT
sampleAggr(Node, int) - Method in class jline.solvers.auto.SolverAUTO
sampleAggr(Node, int) - Method in class jline.solvers.ssa.SolverSSA: Sample aggregated node state evolution using SSA simulation
sampleAggr(Node, int) - Method in class jline.solvers.wrappers.jmt.SolverJMT
sampleAggr(Node, int, boolean) - Method in class jline.solvers.wrappers.jmt.SolverJMT
sampleAggr(Node, Integer, boolean) - Method in class jline.solvers.ssa.SolverSSA: Sample aggregated node state evolution using SSA simulation
sampleAggr(StatefulNode, int) - Method in class jline.solvers.ctmc.SolverCTMC
sampleAggr(StatefulNode, int) - Method in class jline.solvers.ldes.SolverLDES: Generates an aggregated sample path for a specific node.
SAMPLED - Enum constant in enum jline.streaming.StreamingOptions.StreamMode: Push metrics at fixed event frequency
SampledFormat - Enum in jline.inference.lang: Format of the sampled data.
SampledMetric - Class in jline.inference.lang: Observed data for a metric.
SampledMetric(MetricType, double[], double[], Node) - Constructor for class jline.inference.lang.SampledMetric
SampledMetric(MetricType, double[], double[], Node, JobClass) - Constructor for class jline.inference.lang.SampledMetric
sampleFrequency - Variable in class jline.streaming.StreamingOptions: For SAMPLED mode: push every N simulation events
sampleFrequency(int) - Method in class jline.streaming.StreamingOptions: Set the sample frequency for SAMPLED mode.
sampleFrom(double, Random) - Method in class jline.lang.processes.PHt: Service time for a job whose service starts at wall clock t0.
sampleIntegerValue(double[]) - Method in class jline.gen.LayeredNetworkGenerator: Samples an integer value from a given range
sampleMatrix(int, Random) - Method in class jline.lang.processes.MultivariateNormal: Generates random samples from the distribution.
SampleNodeState - Class in jline.solvers.ssa: Container for node state sampling results from SSA solver
SampleNodeState() - Constructor for class jline.solvers.ssa.SampleNodeState
SampleNodeState(Node, Matrix, Matrix, List<Event>, boolean) - Constructor for class jline.solvers.ssa.SampleNodeState
SamplePathResult() - Constructor for class jline.solvers.env.SolverENV.SamplePathResult
SamplePathSegment() - Constructor for class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
sampler(String) - Static method in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer: Maps the solver method string onto the Pfqn_cftp sampler name.
sampleRealValue(double[]) - Method in class jline.gen.LayeredNetworkGenerator: Samples a real value from a given range
SampleResult() - Constructor for class jline.io.Ret.SampleResult: Default constructor.
SampleResult() - Constructor for class jline.solvers.ctmc.SolverCTMC.SampleResult
SampleResult(String, Matrix, List<Matrix>, Matrix, boolean, int) - Constructor for class jline.io.Ret.SampleResult: Constructor for system-wide sampling results.
SampleResult(String, Matrix, Matrix, Matrix, boolean, Integer, int) - Constructor for class jline.io.Ret.SampleResult: Constructor for single-node sampling results.
samples - Variable in class jline.inference.lang.ParamEstimator
samples - Variable in class jline.io.Ret.pfqnMcmc: service completions actually simulated after warm-up.
samples - Variable in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer.CftpResult: Sampled states, one per row (samples x stations).
samples - Variable in class jline.solvers.SolverOptions: Statistical sample budget for simulation- and sampling-based methods.
samples(int) - Method in class jline.solvers.NetworkSolver.SolverConfigurator
samples(int) - Method in class jline.solvers.SolverOptions: Sets the number of samples for simulation methods (builder pattern).
samplesAggr - Variable in class jline.inference.lang.ParamEstimator
samplesFromDMAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.dmap.SamplesFromDMAP
samplesFromDMAP(Matrix, Matrix, int, Integer) - Static method in class jline.lib.butools.dmap.SamplesFromDMAP
samplesFromDMAP(Matrix, Matrix, int, Integer, double) - Static method in class jline.lib.butools.dmap.SamplesFromDMAP
samplesFromDMAP(Matrix, Matrix, int, Integer, double, Random) - Static method in class jline.lib.butools.dmap.SamplesFromDMAP: Generates random samples from a discrete Markovian arrival process.
SamplesFromDMAP - Class in jline.lib.butools.dmap
samplesFromDMMAP(Matrix[], int) - Static method in class jline.lib.butools.dmap.SamplesFromDMMAP
samplesFromDMMAP(Matrix[], int, Integer, double, Random) - Static method in class jline.lib.butools.dmap.SamplesFromDMMAP
samplesFromDMMAP(MatrixCell, int) - Static method in class jline.lib.butools.dmap.SamplesFromDMMAP
samplesFromDMMAP(MatrixCell, int, Integer) - Static method in class jline.lib.butools.dmap.SamplesFromDMMAP
samplesFromDMMAP(MatrixCell, int, Integer, double) - Static method in class jline.lib.butools.dmap.SamplesFromDMMAP
samplesFromDMMAP(MatrixCell, int, Integer, double, Random) - Static method in class jline.lib.butools.dmap.SamplesFromDMMAP: Generates random samples from a discrete marked Markovian arrival process.
SamplesFromDMMAP - Class in jline.lib.butools.dmap
samplesFromDPH(double[], Matrix, int) - Static method in class jline.lib.butools.dph.SamplesFromDPH
samplesFromDPH(double[], Matrix, int, Random) - Static method in class jline.lib.butools.dph.SamplesFromDPH: Overload for double[] alpha.
samplesFromDPH(Matrix, Matrix, int) - Static method in class jline.lib.butools.dph.SamplesFromDPH
samplesFromDPH(Matrix, Matrix, int, Random) - Static method in class jline.lib.butools.dph.SamplesFromDPH: Generates random samples from a discrete phase-type distribution.
SamplesFromDPH - Class in jline.lib.butools.dph
samplesFromMAP(Matrix, Matrix, int) - Static method in class jline.lib.butools.map.SamplesFromMAP
samplesFromMAP(Matrix, Matrix, int, Integer) - Static method in class jline.lib.butools.map.SamplesFromMAP
samplesFromMAP(Matrix, Matrix, int, Integer, Random) - Static method in class jline.lib.butools.map.SamplesFromMAP: Generates random samples from a Markovian arrival process.
SamplesFromMAP - Class in jline.lib.butools.map
samplesFromMMAP(Matrix[], int) - Static method in class jline.lib.butools.map.SamplesFromMMAP
samplesFromMMAP(Matrix[], int, Integer, double, Random) - Static method in class jline.lib.butools.map.SamplesFromMMAP
samplesFromMMAP(MatrixCell, int) - Static method in class jline.lib.butools.map.SamplesFromMMAP
samplesFromMMAP(MatrixCell, int, Integer) - Static method in class jline.lib.butools.map.SamplesFromMMAP
samplesFromMMAP(MatrixCell, int, Integer, double) - Static method in class jline.lib.butools.map.SamplesFromMMAP
samplesFromMMAP(MatrixCell, int, Integer, double, Random) - Static method in class jline.lib.butools.map.SamplesFromMMAP: Generates random samples from a continuous marked Markovian arrival process.
SamplesFromMMAP - Class in jline.lib.butools.map
samplesFromPH(double[], Matrix, int) - Static method in class jline.lib.butools.ph.SamplesFromPH
samplesFromPH(double[], Matrix, int, Random) - Static method in class jline.lib.butools.ph.SamplesFromPH
samplesFromPH(Matrix, Matrix, int) - Static method in class jline.lib.butools.ph.SamplesFromPH
samplesFromPH(Matrix, Matrix, int, Random) - Static method in class jline.lib.butools.ph.SamplesFromPH: Generates random samples from a phase-type distribution.
SamplesFromPH - Class in jline.lib.butools.ph
sampleSys() - Method in class jline.solvers.auto.SolverAUTO: Alias for sampleSys()
sampleSys() - Method in class jline.solvers.ssa.SolverSSA: Sample system-wide state evolution using SSA simulation using default sample count
sampleSys(int) - Method in class jline.solvers.auto.SolverAUTO
sampleSys(int) - Method in class jline.solvers.ctmc.SolverCTMC
sampleSys(int) - Method in class jline.solvers.ldes.SolverLDES: Generates a system-wide sample path (state trajectory) for all stateful nodes.
sampleSys(int) - Method in class jline.solvers.NetworkSolver: Samples joint system state trajectories.
sampleSys(int) - Method in class jline.solvers.ssa.SolverSSA: Sample system-wide state evolution using SSA simulation
sampleSys(int) - Method in class jline.solvers.wrappers.lqns.SolverLQNS
sampleSysAggr() - Method in class jline.solvers.ssa.SolverSSA: Sample aggregated system-wide state evolution using SSA simulation using default sample count
sampleSysAggr() - Method in class jline.solvers.wrappers.jmt.SolverJMT
sampleSysAggr(int) - Method in class jline.solvers.auto.SolverAUTO
sampleSysAggr(int) - Method in class jline.solvers.ctmc.SolverCTMC
sampleSysAggr(int) - Method in class jline.solvers.ldes.SolverLDES: Generates an aggregated system-wide sample path for all stateful nodes.
sampleSysAggr(int) - Method in class jline.solvers.NetworkSolver: Samples aggregated joint system state trajectories.
sampleSysAggr(int) - Method in class jline.solvers.ssa.SolverSSA: Sample aggregated system-wide state evolution using SSA simulation
sampleSysAggr(int) - Method in class jline.solvers.wrappers.jmt.SolverJMT: The int overload NetworkSolver declares, which refused outright: sampleSysAggr(options.samples) bound here rather than to the long overload, so every transient replication failed.
sampleSysAggr(int) - Method in class jline.solvers.wrappers.lqns.SolverLQNS
sampleSysAggr(long) - Method in class jline.solvers.wrappers.jmt.SolverJMT
sampleSysAggr(long, boolean) - Method in class jline.solvers.wrappers.jmt.SolverJMT
SampleSysResult() - Constructor for class jline.solvers.ctmc.SolverCTMC.SampleSysResult
SampleSysState - Class in jline.solvers.ssa: Container for system-wide state sampling results from SSA solver
SampleSysState() - Constructor for class jline.solvers.ssa.SampleSysState
SampleSysState(List<Node>, Matrix, List<Matrix>, List<Event>, boolean) - Constructor for class jline.solvers.ssa.SampleSysState
sampleTime - Variable in class jline.lib.perm.AdaPartSampler
sanitize() - Method in class jline.lang.layered.LayeredNetwork: Validates the LayeredNetwork configuration.
sanitize() - Method in class jline.lang.Network
sanitize() - Method in class jline.solvers.AvgTable: Sanitizes the table data to fix small numerical perturbations.
SAResult - Class in jline.lib.fjcodes: Result of build_SA.
SAResult(Matrix, Matrix) - Constructor for class jline.lib.fjcodes.SAResult
save(Environment, String) - Static method in class jline.io.LineModelIO: Saves an Environment model to a JSON file.
save(LayeredNetwork, String) - Static method in class jline.io.LineModelIO: Saves a LayeredNetwork model to a JSON file.
save(Network, String) - Static method in class jline.io.LineModelIO: Saves a Network model to a JSON file.
save(Network, String) - Static method in class jline.io.PnmlIO: Write the Petri net held by a Network to a PNML place/transition file.
save(Workflow, String) - Static method in class jline.io.LineModelIO: Saves a Workflow model to a JSON file.
save(LDESResult, NetworkStruct, String) - Static method in class jline.io.LDESResultIO: Saves an LDESResult and associated NetworkStruct to a JSON file.
save(LDESResult, NetworkStruct, String, boolean) - Static method in class jline.io.LDESResultIO: Saves an LDESResult and associated NetworkStruct to a JSON file.
save(LDESResult, NetworkStruct, String, boolean, boolean) - Static method in class jline.io.LDESResultIO: Saves an LDESResult and associated NetworkStruct to a JSON file.
save_log_dense(double, Map<Integer, Matrix>, DMatrixRMaj, int, double[], Map<Integer, Integer>, int, NetworkStruct, Map<Integer, Matrix>, Map<Integer, Matrix>, DMatrixRMaj) - Static method in class jline.solvers.ssa.handlers.Solver_ssa
save_log_dense(double, Map<Integer, Matrix>, DMatrixRMaj, int, double[], Map<Integer, Integer>, int, NetworkStruct, Map<Integer, Matrix>, Map<Integer, Matrix>, DMatrixRMaj, Collector, double) - Static method in class jline.solvers.ssa.handlers.Solver_ssa
saveArrivalStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveArrivalStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveBaseline(String, BenchmarkRegression.RegressionBaseline) - Static method in class jline.bench.BenchmarkRegression: Save regression baseline to file
saveBufferCapacity(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Saves buffer capacity for JMT XML.
saveBufferCapacity(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveCache(ElementDocumentPair) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveCacheStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveCacheStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveClasses(ElementDocumentPair) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveClasses(SolverAvgHandles, ElementDocumentPair) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Saves class definitions to the XML document.
saveClassParallelism(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Saves the per-class job parallelism to JMT XML.
saveClassSwitchStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveClassSwitchStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveCTMCWorkspace(Matrix, Matrix, Matrix, String) - Static method in class jline.util.MatFileUtils: Saves CTMC solver workspace to a .mat file
saveDelayOffStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Saves delay-off and setup time strategies for Queue nodes.
saveDelayOffStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveDropRule(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveDropStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveDropStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveEnablingConditions(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveFCRMetrics(ElementDocumentPair) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Saves performance metrics for Finite Capacity Regions (blocking regions).
saveFiringOutcomes(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveFiringPriorities(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveFiringWeights(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveForkStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveForkStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveGetStrategy(DocumentSectionPair) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveGetStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveGetStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
SaveHandlers - Class in jline.solvers.wrappers.jmt.handlers: Handles the generation and serialization of JMT (Java Modelling Tools) simulation models.
SaveHandlers(Network) - Constructor for class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Constructs a SaveHandlers instance with default simulation parameters.
SaveHandlers(Network, double, double, SolverAvgHandles, long, String, long, long, double) - Constructor for class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Constructs a SaveHandlers instance with full simulation parameter control.
SaveHandlers.ServerPools - Class in jline.solvers.wrappers.jmt.handlers: Server pools and job parallelism of a node, as the JMT Server section needs them.
saveHeterogeneousServerConfig(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Saves all heterogeneous server configuration to JMT XML.
saveHeteroSchedPolicy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Saves heterogeneous scheduling policy to JMT XML.
saveImpatience(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveImpatience(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveInhibitingConditions(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveJoinStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveJoinStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveLinks(ElementDocumentPair) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveLinks(SolverAvgHandles, ElementDocumentPair) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Saves network links to the XML document.
saveLN(LNLDESResult, LayeredNetworkStruct, String, boolean) - Static method in class jline.io.LDESResultIO: Writes an LNLDESResult as the `ldes-result` document, the layered counterpart of LDESResultIO.save(LDESResult, NetworkStruct, String, boolean, boolean).
saveLogTunnel(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveLogTunnel(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveMatrix(Matrix, String, String) - Static method in class jline.util.MatFileUtils: Saves a single matrix to a .mat file
saveMetric(ElementDocumentPair, AvgHandle) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveMetrics(ElementDocumentPair) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveMetrics(SolverAvgHandles, ElementDocumentPair) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Saves metrics configuration to the XML document.
saveModeNames(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveNumberOfServers(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveNumberOfServers(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveNumbersOfServers(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
savePlaceCapacities(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
savePreemptiveStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
savePreemptiveStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
savePreemptiveWeights(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
savePreemptiveWeights(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
savePutStrategies(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
savePutStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
savePutStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveRegions(ElementDocumentPair) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveRegions(SolverAvgHandles, ElementDocumentPair) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Saves finite capacity regions to the XML document.
saveRetrialDistributions(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveRoutingStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveRoutingStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveServerCompatibilities(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Saves server-class compatibility matrix to JMT XML.
saveServersPerType(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Saves the number of servers per server type to JMT XML.
saveServerTypeNames(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Saves heterogeneous server type names to JMT XML.
saveServerVisits(DocumentSectionPair) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveServerVisits(SolverAvgHandles, DocumentSectionPair) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveServiceStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveServiceStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveSwitchoverStrategy(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveSwitchoverStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.io.JMTIO
saveTimingStrategies(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveTotalCapacity(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveWorkspace(Map<String, Matrix>, String) - Static method in class jline.util.MatFileUtils: Saves multiple matrices to a .mat file as a workspace
saveXMLHeader(String) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
saveXMLHeader(SolverAvgHandles, String) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Generates the XML header for JMT simulation files.
SC - Enum constant in enum jline.bench.fj.BenchFJ_Template.FJConfig
scalar(String, String, String, double) - Static method in class jline.io.LineResultRecorder: Record a labelled scalar the example DERIVED.
scalar(String, String, String, String, double) - Static method in class jline.io.LineResultRecorder: The same, under the metric column the golden files it in.
scale - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: The uniformization divisor applied to lambda and mu.
scale - Variable in class jline.api.qsys.QsysServiceLaw: Gamma scale theta.
scale(double) - Method in class jline.util.matrix.ComplexMatrix: Scales this complex matrix by a real scalar value.
scale(double) - Method in class jline.util.matrix.Matrix: Scales the matrix by the given scalar value.
scaleComplex(Complex) - Method in class jline.util.matrix.ComplexMatrix: Scales this complex matrix by a complex scalar, returning a new matrix.
scaled - Variable in class jline.api.lqn.LqnBalanceEquations.Relation: The per-class utilization must be multiplied by mult to reach job units (a queueing server); false at an infinite server.
scaleEq(double) - Method in class jline.util.matrix.Matrix: Scales this matrix in-place by the given scalar value.
scaleEq(double, Matrix) - Method in class jline.util.matrix.Matrix: Scales this matrix by the given scalar value and stores the result in the provided output matrix.
scaleInPlace(double) - Method in class jline.util.matrix.BaseMatrix: Scales the matrix in-place by the specified factor.
scaleInPlace(double) - Method in class jline.util.matrix.DenseMatrix
scaleInPlace(double) - Method in class jline.util.matrix.SparseMatrix: Scales the matrix in-place by the specified factor.
scaleMatrix(double, DMatrix) - Method in class jline.util.matrix.BaseMatrix
scaleMatrix(double, DMatrix) - Method in class jline.util.matrix.DenseMatrix
scaleMatrix(double, DMatrix) - Method in class jline.util.matrix.SparseMatrix
scaleMatrixStatic(double, DMatrix, DMatrix) - Static method in class jline.util.matrix.DenseMatrix
scaleMatrixStatic(double, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
scaleMult(Matrix, double) - Static method in class jline.util.matrix.Matrix: Multiplies all elements of a matrix by a scalar.
scaleRate(Distribution, double) - Static method in class jline.lang.processes.DistributionScaling: Returns a new distribution whose rate is factor times the rate of distrib, i.e.
scanNegativeDensity(Matrix, Matrix) - Static method in class jline.lang.processes.ME: Searches the density f(t) = -alpha*expm(A*t)*A*e for a negative value.
scc - Variable in class jline.api.mc.Ctmc_solve_reducible.CtmcSolveReducibleResult
scc - Variable in class jline.api.mc.Dtmc_solve_reducible.DtmcSolveReducibleResult
SCC - Variable in class jline.util.graph.DirectedGraph.SCCAuxResult
SCCAuxResult(int[], int[], boolean[], List<int[]>, List<Integer>, int) - Constructor for class jline.util.graph.DirectedGraph.SCCAuxResult
SCCResult(int[], boolean[]) - Constructor for class jline.util.graph.DirectedGraph.SCCResult
scenarioAggregation - Variable in class jline.opt.solver.LineOptSolverOptions: 'worst' (minimax) or 'mean' (weighted) aggregation across scenarios.
sched - Variable in class jline.inference.api.VariationalSpec: (M) discipline codes: 0 = infinite server, 1 = shared server, 2 = external.
sched - Variable in class jline.lang.layered.LayeredNetworkStruct
sched - Variable in class jline.lang.NetworkStruct
sched - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
sched - Variable in class jline.solvers.fluid.moments.FluidMomentTerms
schedid - Variable in class jline.lang.layered.LayeredNetworkStruct
schedNames - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
schedparam - Variable in class jline.lang.NetworkStruct
schedPolicy - Variable in class jline.lang.nodes.Cache
schedPolicy - Variable in class jline.lang.nodes.ClassSwitch
schedPolicy - Variable in class jline.lang.nodes.Router
schedPolicy - Variable in class jline.lang.nodes.ServiceNode
schedPolicy - Variable in class jline.lang.sections.CacheClassSwitcher.InputJobClassesObj
schedPolicy - Variable in class jline.lang.sections.InputSection
schedPolicy - Variable in class jline.lang.sections.OutputSection
schedStrategies - Variable in class jline.lang.nodes.Place
schedStrategy - Variable in class jline.lang.nodes.Cache
schedStrategy - Variable in class jline.lang.nodes.ClassSwitch
schedStrategy - Variable in class jline.lang.nodes.Router
schedStrategy - Variable in class jline.lang.nodes.ServiceNode
schedStrategy - Variable in class jline.lang.nodes.Sink
schedStrategy - Variable in class jline.lang.nodes.Source
SchedStrategy - Enum in jline.lang.constant: Enumeration of scheduling strategies available at queueing stations.
schedStrategyPar - Variable in class jline.lang.nodes.ServiceNode
SchedStrategyType - Enum in jline.lang.constant: Constants for specifying a scheduling strategy type at stations.
schedType - Variable in class jline.bench.fj.BenchFJ_Nested.BenchmarkResult
scheduling - Variable in class jline.lang.layered.Activity
scheduling - Variable in class jline.lang.layered.Entry
scheduling - Variable in class jline.lang.layered.Host
scheduling - Variable in class jline.lang.layered.Task
schmidtExtReason(Matrix, List<Boolean>, String) - Static method in class jline.solvers.mva.SolverMVA: Refusal reason for the extended Schmidt method, empty when it may run.
schmidtExtReasonForStruct(NetworkStruct, String) - Static method in class jline.solvers.mva.SolverMVA: SolverMVA.schmidtExtReason(jline.util.matrix.Matrix, java.util.List<java.lang.Boolean>, java.lang.String) asked about a struct: it rebuilds the population vector and per-station discipline that Solver_amva's schmidt-ext arm hands the kernel, so the report and the run ask the same question of the same numbers.
schur() - Method in class jline.util.matrix.Matrix: Computes the Schur decomposition with the default method and iteration count.
schur(String, Integer) - Method in class jline.util.matrix.Matrix: Computes the Schur decomposition of the matrix.
schurComplex() - Method in class jline.util.matrix.Matrix: Computes the complex Schur decomposition of this matrix, equivalent to MATLAB's schur(A,'complex').
schurDecomposition(Matrix) - Static method in class jline.lib.qmam.Q_Sylvest: Computes the complex Schur decomposition of A, equivalent to MATLAB's [U,T] = schur(A,'complex') with A = U*T*U'.
scoreDifferences - Variable in class jline.bench.BenchmarkRegression.RegressionComparison
scores - Variable in class jline.bench.BenchmarkRegression.BenchmarkResult
scores - Variable in class jline.bench.BenchmarkRegression.RegressionBaseline
scv - Variable in class jline.lang.NetworkStruct
scv - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
scv() - Method in class jline.lang.processes.Coxian: Property alias for getSCV
scv() - Method in class jline.lang.processes.Det: Property alias for getSCV
scv() - Method in class jline.lang.processes.Distribution: Property alias for getSCV
scv() - Method in class jline.lang.processes.Erlang: Property alias for getSCV
scv() - Method in class jline.lang.processes.Exp: Property alias for getSCV
scv() - Method in class jline.lang.processes.Gamma: Property alias for getSCV
scv() - Method in class jline.lang.processes.HyperExp: Property alias for getSCV
scv() - Method in class jline.lang.processes.Lognormal: Property alias for getSCV
scv() - Method in class jline.lang.processes.Markovian: Property alias for getSCV
scv() - Method in class jline.lang.processes.Pareto: Property alias for getSCV
scv() - Method in class jline.lang.processes.PH: Property alias for getSCV
scv() - Method in class jline.lang.processes.Uniform: Property alias for getSCV
scv() - Method in class jline.lang.processes.Weibull: Property alias for getSCV
scv(UnivariateFunction) - Static method in class jline.lib.lti.cme
scva - Variable in class jline.io.Ret.npfqnNonexpApprox
SCVchain - Variable in class jline.io.Ret.snGetDemands
SCVchain - Variable in class jline.lang.ModelAdapter.DeaggInfo
SCVcum - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.AcfitEvalResult
scvs - Variable in class jline.io.Ret.npfqnNonexpApprox
SD - Enum constant in enum jline.lang.constant.ServiceStrategy
sdr - Variable in class jline.api.pfqn.Pfqn_sdr.Coeff: The validated structure.
sdr - Variable in class jline.lang.NetworkStruct: Krzesinski (1987) product-form state-dependent routing, in station indices; null unless a node declares it with Node.setStateDepRouting.
sdr - Variable in class jline.lang.NodeParam: Krzesinski (1987) state-dependent routing structure, in node indices, as declared on the entry center.
SDR - Enum constant in enum jline.lang.constant.RoutingStrategy: Krzesinski (1987) product-form state-dependent routing
sdrDeclarations - Variable in class jline.lang.nodes.Node: Declared Krzesinski state-dependent routing structures, one per job class.
SdrMultiBranchExample - Class in jline.examples.java.advanced: Multi-center branches under Krzesinski (1987) state-dependent routing.
SdrMultiBranchExample() - Constructor for class jline.examples.java.advanced.SdrMultiBranchExample
sdroute_closed() - Static method in class jline.examples.java.advanced.StateDepRoutingExamples: Demonstrates state-dependent routing in a closed network (sdroute_closed.ipynb).
sdroute_closed() - Static method in class jline.examples.java.advanced.StateDepRoutingModel: Single-class closed network with round-robin routing.
sdroute_krzesinski() - Static method in class jline.examples.java.advanced.StateDepRoutingExample: Product-form state-dependent routing, Krzesinski (1987) (sdroute_krzesinski.m).
sdroute_multibranch() - Static method in class jline.examples.java.advanced.SdrMultiBranchExample: Multi-center branches under Krzesinski state-dependent routing (sdroute_multibranch.m).
sdroute_open() - Static method in class jline.examples.java.advanced.StateDepRoutingExamples: Demonstrates state-dependent routing in an open network (sdroute_open.ipynb).
sdroute_open() - Static method in class jline.examples.java.advanced.StateDepRoutingModel: Open network with load balancing router.
sdroute_twoclasses_closed() - Static method in class jline.examples.java.advanced.StateDepRoutingExamples: Demonstrates state-dependent routing with two classes in a closed network (sdroute_twoclasses_closed.ipynb).
sdroute_twoclasses_closed() - Static method in class jline.examples.java.advanced.StateDepRoutingModel: Multi-class closed network with MAP and APH service processes.
Se - Variable in class jline.lib.fjcodes.SRKResult
second - Variable in class jline.api.mam.Amap2_fit_gamma.Triple
second - Variable in class jline.api.mam.Mamap2m_coefficients.Mamap2mCoefficients
second - Variable in class jline.lib.kpctoolbox.smp.DET.Triple
secondMomentWait - Variable in class jline.api.qsys.QsysAbandonResult: E[W^2] over entering customers.
SecondOrderLevelDependentFluidSolve - Class in jline.lib.butools.mam
section - Variable in class jline.io.DocumentSectionPair
section(String) - Static method in class jline.examples.parity.Print: The banner a reference script prints before each solver block.
Section - Class in jline.lang.sections: A general class modeling a node section
Section(String) - Constructor for class jline.lang.sections.Section
seed - Variable in class jline.opt.solver.LineOptSolverOptions
seed - Variable in class jline.solvers.SolverOptions: Random number generator seed for reproducibility
seed(int) - Method in class jline.solvers.NetworkSolver.SolverConfigurator
seed(int) - Method in class jline.solvers.SolverOptions: Sets the random number generator seed (builder pattern).
seed(long) - Method in class jline.opt.solver.de.MT19937: Seed matching numpy legacy behavior for a scalar integer seed.
segmentIndex - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
segments - Variable in class jline.solvers.env.SolverENV.SamplePathResult
selectionIntents() - Static method in class jline.solvers.auto.SolverAUTO: Tokens that state what the solution is for, rather than naming an algorithm.
selectionMethod - Variable in class jline.solvers.auto.AUTOptions: Method for solver selection.
selectMethod(List<String>) - Method in class jline.solvers.Solver: Feature-driven method selection: returns the first method in preferenceList whose per-method feature set covers the model, or the last entry when none fully covers (the gate then reports the precise features).
SelfLoopingClass - Class in jline.lang: Class of jobs that perpetually loop at a given station
SelfLoopingClass(Network, String, long, Station) - Constructor for class jline.lang.SelfLoopingClass: Creates a new self-looping job class with default priority (0).
SelfLoopingClass(Network, String, long, Station, int) - Constructor for class jline.lang.SelfLoopingClass: Creates a new self-looping job class with specified priority.
selfloopModel() - Static method in class jline.examples.java.advanced.PassAndSwapExample: Three-class PAS queue whose swapping graph contains a self-loop (class 1) and an edge (2,3); one dedicated server per class so mu(c) = number of distinct classes present.
sendMetrics(List<SSAMetricPoint>) - Method in class jline.streaming.HttpMetricsClient: Send a batch of metrics to the HTTP receiver.
sendMetrics(List<SSAMetricPoint>) - Method in class jline.streaming.OtlpMetricsClient: Send a batch of metrics to the OTLP receiver.
sendModel(String, String) - Method in class jline.lang.layered.LayeredNetwork: Sends the model to a local server using the default IP address (127.0.0.1).
sendModel(String, String, String) - Static method in class jline.cli.LineDockerClient: Sends a layered network model to a Docker-based LINE server.
sendModel(String, String, String) - Method in class jline.lang.layered.LayeredNetwork: Sends the model to a server at the specified IP address and port.
sendModel(String, String, String, String) - Static method in class jline.cli.LineDockerClient: Sends a layered network model to a Docker-based LINE server.
sens(Matrix) - Method in class jline.lang.processes.MarkovProcess: Sensitivity of the stationary distribution to a scalar parameter.
sensitivities - Variable in class jline.opt.results.EvaluationResult: Analytic sensitivities when product-form; null otherwise.
Sensitivity(List<String>, List<String>, String, String, String) - Constructor for class jline.api.sym.SymEngine.Sensitivity
SensitivityData - Class in jline.opt.results: Analytic performance sensitivities for a product-form model, mirroring the nested dict returned by native-Python compute_model_sensitivities: metric kind ('RespT'|'QLen'|'Tput'|'Util') -> metric key -> parameter key -> d(metric)/d(parameter).
SensitivityData() - Constructor for class jline.opt.results.SensitivityData
SensitivityParameter(String, double, SolverCTMC.ParamSetter) - Constructor for class jline.solvers.ctmc.SolverCTMC.SensitivityParameter
SensitivityParameter(String, double, SolverCTMC.ParamSetter, double) - Constructor for class jline.solvers.ctmc.SolverCTMC.SensitivityParameter
sensitivityResult(Matrix, Matrix, Double, Double) - Constructor for class jline.solvers.ctmc.SolverCTMC.sensitivityResult
sensitivityT() - Method in class jline.solvers.NetworkSolver
sensitivityT(String, double, String) - Method in class jline.solvers.NetworkSolver
SensitivityTable - Class in jline.opt.sensitivity: Analytic performance sensitivities for a product-form model, mirroring native-Python compute_model_sensitivities.
sensKey(LayeredNetwork) - Method in class jline.opt.variables.HostDemand: Row key station||jobclass in the per-layer sensitivity table.
sensMetricTargets(LayeredNetwork) - Method in class jline.opt.variables.HostDemand: Map each layer-row metric to the EvaluationResult key it approximates.
SEP - Static variable in class jline.opt.results.SensitivityData
SEPT - Enum constant in enum jline.lang.constant.SchedStrategy: Shortest Expected Processing Time - based on expected remaining service time
SEQUENCE - Enum constant in enum jline.lib.kpctoolbox.aph.APH.ConvolutionPattern
SequenceDiagramExporter - Class in jline.io.tikz: Exports a LayeredNetwork model as a UML sequence diagram using TikZ/pgf-umlsd.
SequenceDiagramExporter(LayeredNetwork) - Constructor for class jline.io.tikz.SequenceDiagramExporter: Creates a sequence diagram exporter with default options.
SequenceDiagramExporter(LayeredNetwork, SequenceDiagramOptions) - Constructor for class jline.io.tikz.SequenceDiagramExporter: Creates a sequence diagram exporter with custom options.
SequenceDiagramLayoutEngine - Class in jline.io.tikz: Computes layout positions for UML sequence diagram elements.
SequenceDiagramLayoutEngine(LayeredNetwork, SequenceDiagramOptions) - Constructor for class jline.io.tikz.SequenceDiagramLayoutEngine
SequenceDiagramOptions - Class in jline.io.tikz: Configuration options for UML sequence diagram visualization of LayeredNetwork models.
SequenceDiagramOptions() - Constructor for class jline.io.tikz.SequenceDiagramOptions
SequenceDiagramTraverser - Class in jline.io.tikz: Traverses a LayeredNetwork model to extract interactions and fragments for UML sequence diagram generation.
SequenceDiagramTraverser(LayeredNetwork, SequenceDiagramLayoutEngine) - Constructor for class jline.io.tikz.SequenceDiagramTraverser
SequenceDiagramTraverser.Fragment - Class in jline.io.tikz: Represents a combined fragment (loop, par, alt) in the sequence diagram.
SequenceDiagramTraverser.Fragment.FragmentType - Enum in jline.io.tikz
SequenceDiagramTraverser.Interaction - Class in jline.io.tikz: Represents a single interaction (message or activation) in the sequence diagram.
SequenceDiagramTraverser.Interaction.Type - Enum in jline.io.tikz
sequences - Variable in class jline.api.wf.Wf_analyzer.DetectedPatterns
Serial(String...) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an array of ActivityPrecedence objects representing a sequence from varargs.
Serial(String, String) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a sequence relationship.
Serial(List<?>) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an array of ActivityPrecedence objects representing a sequence.
Serial(Activity...) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an array of ActivityPrecedence objects representing a sequence from varargs.
Serial(Activity, Activity) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a sequence relationship.
Serial(WorkflowActivity...) - Static method in class jline.lang.workflow.Workflow
SerializableFunction<T,U> - Interface in jline.util: Interface used for routing functions
serialLaw(Workflow) - Static method in class jline.api.lqn.LqnPh: Composed law of a workflow in which the branches of an AND fork are SERIAL rather than concurrent, that is, the total work the branches request rather than the elapsed time until the last of them finishes.
serialRouting(List<JobClass>, List<Node>) - Static method in class jline.lang.Network: Creates a serial routing matrix connecting nodes in sequence.
serialRouting(List<JobClass>, Node...) - Static method in class jline.lang.Network: Creates a serial routing matrix connecting nodes in sequence.
serialRouting(List<Node>) - Static method in class jline.lang.Network: Creates a serial routing matrix for all job classes in the network.
serialRouting(JobClass, List<Node>) - Static method in class jline.lang.Network: Creates a serial routing matrix for a single job class.
serialRouting(JobClass, Node...) - Static method in class jline.lang.Network: Creates a serial routing matrix for a single job class.
serialRouting(Node...) - Static method in class jline.lang.Network: Creates a serial routing matrix for all job classes in the network.
served - Variable in class jline.io.Ret.pfqnQlenMoments
server - Variable in class jline.lang.nodes.Node
Server - Class in jline.lang.sections: A service section that processes jobs
Server(List<JobClass>) - Constructor for class jline.lang.sections.Server: Creates a new server section for the specified job classes.
ServerAllocation - Class in jline.opt.variables: Optimize the number of servers at a station.
ServerAllocation(Station, int, int) - Constructor for class jline.opt.variables.ServerAllocation
ServerAllocation(Station, int, int, String) - Constructor for class jline.opt.variables.ServerAllocation
servercompat - Variable in class jline.lang.nodeparam.ServiceNodeParam: Server-class compatibility matrix: Matrix (nTypes x K), 1.0 if type t serves class r.
serverCost(Map<Station, Double>, List<Constraint>) - Static method in class jline.opt.objectives.MinimizeCost: Server-cost-only convenience constructor.
serverparallelism - Variable in class jline.lang.nodeparam.ServiceNodeParam: Servers seized at once by a job, per class: Matrix (1 x K), all ones unless some class declares job parallelism.
ServerPool(String, double, double, List<String>) - Constructor for class jline.lang.layered.LayeredNetworkElement.ServerPool
serverPools - Variable in class jline.lang.layered.LayeredNetworkElement: Heterogeneous server pools with a compatibility graph over this server's operands.
serverPools(int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Builds the server pools of node ind, or null when the station declares neither server types nor job parallelism.
ServerPools(List<String>, Matrix, Matrix, Matrix) - Constructor for class jline.lang.layered.LayeredNetworkStruct.ServerPools
servers - Variable in class jline.api.mdd.MddDescriptor: Servers per station; Double.POSITIVE_INFINITY for a delay station.
serverSizing() - Static method in class jline.examples.opt.LineOptExamples: Minimum servers under a 50% utilization SLA (differential evolution).
serverspertype - Variable in class jline.lang.nodeparam.ServiceNodeParam: Number of servers per server type: Matrix (nTypes x 1).
serverStationsOf(int, boolean) - Method in class jline.solvers.ln.SolverLN: Station indices of the host (ISHOST true) or task servers of layer E.
ServerType - Class in jline.lang.constant: Represents a type of server within a heterogeneous multiserver queue.
ServerType(String, int) - Constructor for class jline.lang.constant.ServerType: Creates a new server type with the specified name and number of servers.
ServerType(String, int, double, LayeredNetworkElement...) - Constructor for class jline.lang.constant.ServerType: Creates a pool for a LAYERED server: numOfServers identical servers, each running at rate, eligible for the named operands.
ServerType(String, int, List<JobClass>) - Constructor for class jline.lang.constant.ServerType: Creates a new server type with the specified name, number of servers, and compatible classes.
servertypenames - Variable in class jline.lang.nodeparam.ServiceNodeParam: Server type names; servertypenames.get(t) is the name of server type t.
serviceAgeDensity - Variable in class jline.api.qsys.QsysFluidAbandonResult: b(x) per server at those ages, null when not requested.
ServiceBinding - Class in jline.lang: A class for associating job classes, service strategies and distributions
ServiceBinding(JobClass, ServiceStrategy) - Constructor for class jline.lang.ServiceBinding
ServiceBinding(JobClass, ServiceStrategy, Distribution) - Constructor for class jline.lang.ServiceBinding
serviceName - Variable in class jline.streaming.StreamingOptions: Service name to identify this simulation in line-est
serviceName(String) - Method in class jline.streaming.StreamingOptions: Set the service name for identification in line-est.
ServiceNode - Class in jline.lang.nodes: A station with a service process
ServiceNode(String) - Constructor for class jline.lang.nodes.ServiceNode
ServiceNodeParam - Class in jline.lang.nodeparam: Parameter container for service nodes in queueing networks.
ServiceNodeParam() - Constructor for class jline.lang.nodeparam.ServiceNodeParam
serviceNodes - Variable in class jline.api.wf.Wf_analyzer.NodeClassification
serviceNodes - Variable in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
serviceParameters - Variable in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
ServiceParameters(Matrix, Matrix) - Constructor for class jline.api.wf.Wf_pattern_updater.ServiceParameters
serviceProb - Variable in class jline.api.dqsys.Bernoulli1Result: Per-slot service completion probability p(n), indexed by n-1.
serviceProb - Variable in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer.DtModel: Service probabilities p_j(n), indexed [cycle position][n-1].
serviceProbSingle - Variable in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer.DtModel: Service probabilities p(n), n = 1..L (bernoulli1).
serviceProcesses - Variable in class jline.lang.nodes.Place: Per-class service (queue) processes of the embedded queue; empty for ordinary places.
serviceProcesses - Variable in class jline.lang.nodes.ServiceNode
serviceProcesses - Variable in class jline.lang.nodes.ServiceStation
serviceProcesses - Variable in class jline.lang.sections.RandomSource
serviceProcesses - Variable in class jline.lang.sections.ServiceSection
serviceRate() - Static method in class jline.examples.opt.LineOptExamples: Cheapest continuous service rate meeting an RT SLA (theory 5.0).
ServiceRate - Class in jline.opt.variables: Optimize the exponential processing rate of a station for a job class.
ServiceRate(ServiceStation, JobClass, double, double) - Constructor for class jline.opt.variables.ServiceRate
ServiceRate(ServiceStation, JobClass, double, double, String) - Constructor for class jline.opt.variables.ServiceRate
ServiceSection - Class in jline.lang.sections: A section offering a service
ServiceSection(String) - Constructor for class jline.lang.sections.ServiceSection
serviceSrc - Variable in class jline.io.Ret.FJApprox: Provenance of the transformed model's service slots, recorded by mmt so that a cached transformation can be re-fed from the base model instead of rebuilt (see ModelAdapter.refreshServicesFromBase).
serviceSrcObj - Variable in class jline.io.Ret.FJApprox: Per slot, the base-model distribution object whose copy currently sits in that slot.
ServiceStation - Class in jline.lang.nodes: A station with a service process
ServiceStation(String) - Constructor for class jline.lang.nodes.ServiceStation
ServiceStrategy - Enum in jline.lang.constant: Constants for specifying service strategies at stations
ServiceTunnel - Class in jline.lang.sections: A section that forwards jobs without introducing delays in a service station
ServiceTunnel() - Constructor for class jline.lang.sections.ServiceTunnel
ServiceTunnel(String) - Constructor for class jline.lang.sections.ServiceTunnel
servt - Variable in class jline.api.lqn.Lqn_mol.Result: Entry response time seen by a caller.
servt - Variable in class jline.api.lqn.LqnBalanceEquations.Solution
servt - Variable in class jline.solvers.ln.SolverLN.LNState
servt - Variable in class jline.solvers.ln.SolverLN
servt_classes_updmap - Variable in class jline.solvers.ln.SolverLN
servt_ph1 - Variable in class jline.solvers.ln.SolverLN
servt_ph2 - Variable in class jline.solvers.ln.SolverLN
servt_prev - Variable in class jline.solvers.ln.SolverLN
servtcdf - Variable in class jline.solvers.ln.SolverLN
servtmatrix - Variable in class jline.solvers.ln.SolverLN
servtPrev - Variable in class jline.solvers.ln.SolverLN.LNState
servtproc - Variable in class jline.solvers.ln.SolverLN.LNState
servtproc - Variable in class jline.solvers.ln.SolverLN
Sestar - Variable in class jline.lib.fjcodes.SRKResult
set(double) - Static method in class jline.util.LineTimeout: Arm the deadline; a non-finite or non-positive budget disarms it.
set(int, double) - Method in class jline.util.matrix.Matrix: Sets the element at absolute index position to the given value.
set(int, int, double) - Method in class jline.lang.ClassSwitchMatrix
set(int, int, double) - Method in class jline.util.matrix.BaseMatrix: Sets the value at the specified matrix position.
set(int, int, double) - Method in class jline.util.matrix.ComplexMatrix: Sets the element at the specified position to a real value (imaginary part becomes zero).
set(int, int, double) - Method in class jline.util.matrix.DenseMatrix: Sets the value at the specified matrix position.
set(int, int, double) - Method in class jline.util.matrix.Matrix: Sets the element at specified row and column.
set(int, int, double) - Method in class jline.util.matrix.SparseMatrix: Sets the value at the specified matrix position.
set(int, int, int) - Method in class jline.util.matrix.ComplexMatrix: Sets the element at the specified position to an integer value (real part only).
set(int, int, int) - Method in class jline.util.matrix.Matrix: Sets the element at specified row and column using an integer value.
set(int, int, int, int, double) - Method in class jline.lang.RoutingMatrix: Sets a single routing probability, given class and node indices.
set(int, int, Matrix) - Method in class jline.lang.RoutingMatrix: Sets the whole node-by-node routing from one class to another, given the class indices.
set(int, int, SymExpr) - Method in class jline.util.matrix.SymMatrix
set(int, int, Complex) - Method in class jline.util.matrix.ComplexMatrix: Sets the element at the specified position to a complex value.
set(int, Matrix) - Method in class jline.lang.RoutingMatrix: Sets the whole node-by-node routing of a class onto itself, given the class index.
set(int, Matrix) - Method in class jline.util.matrix.MatrixCell: Stores a matrix at the specified index.
set(int, Complex) - Method in class jline.util.matrix.ComplexMatrix: Sets the element at the specified linear index to a complex value.
set(JobClass, JobClass, double) - Method in class jline.lang.ClassSwitchMatrix
set(JobClass, JobClass, Node, Node, double) - Method in class jline.lang.RoutingMatrix
set(JobClass, JobClass, RoutingMatrix) - Method in class jline.lang.RoutingMatrix
set(JobClass, JobClass, Matrix) - Method in class jline.lang.RoutingMatrix
set(JobClass, Node, Node, double) - Method in class jline.lang.RoutingMatrix
set(JobClass, RoutingMatrix) - Method in class jline.lang.RoutingMatrix
set(JobClass, Matrix) - Method in class jline.lang.RoutingMatrix
set(Node, Node) - Method in class jline.lang.RoutingMatrix
set(Node, Node, double) - Method in class jline.lang.RoutingMatrix
set(Polling.Info, Matrix, int, int, int) - Static method in class jline.lang.state.Polling: Write the polling controller into the local-variable columns of a state row.
setAccessProb(Matrix[][]) - Method in class jline.lang.nodes.Cache: Sets the access probability matrices for all cache levels and job classes.
setActive(List<ModeEvent>) - Method in class jline.lang.GlobalSync
setActivity(Activity, int) - Method in class jline.lang.layered.Task
setActivityDemand(String, Distribution) - Method in class jline.lang.workflow.Workflow: Change the host demand of one activity, marking only that leaf dirty.
setActivityDemandMean(String, double) - Method in class jline.lang.workflow.Workflow: Change only the mean of one activity, preserving its shape and order.
setAdmissionProb(double) - Method in class jline.lang.nodes.Cache: Probability q in [0,1] of admitting a missed item into the cache (q-LRU).
setAllowReplace(boolean) - Method in class jline.lang.Network
setAlpha(double) - Method in class jline.api.qsys.RetrialInfo
setAnalyzedSamples(int) - Method in class jline.lang.Metric: Sets the analysed-sample count.
setArrival(JobClass, Object) - Method in class jline.lang.nodes.Source: Sets the arrival distribution for a specific job class.
setArrival(Distribution) - Method in class jline.lang.layered.Entry: Sets the open arrival process for this entry.
setArrivalBatch(JobClass, DiscreteDistribution) - Method in class jline.lang.nodes.Source: Sets a batch-size law for a class, turning each arrival epoch of that class into the simultaneous release of a batch of jobs.
setArrivalProcess(ServiceBinding) - Method in class jline.lang.nodes.Source: Sets the arrival process using a service binding.
setArrivalRate(double) - Method in class jline.gen.Cluster: Single-class arrival rate.
setArrivalRates(double[]) - Method in class jline.gen.Cluster: Per-class arrival rates.
setArrivalSCV(double) - Method in class jline.gen.Cluster: Sets the squared coefficient of variation of the arrival process for every class (broadcast).
setArrivalSCV(double[]) - Method in class jline.gen.Cluster: Per-class arrival SCV.
setAsReferenceTask() - Method in class jline.lang.layered.Task
setAsyncCallMeans(double) - Method in class jline.lang.layered.Activity
setAsyncCallMeans(Matrix) - Method in class jline.lang.layered.Activity
setAsyncDashed(boolean) - Method in class jline.io.tikz.SequenceDiagramOptions
setAttribute(Integer[]) - Method in class jline.lang.JobClass
setAttribute(ModelAttribute) - Method in class jline.lang.Model: Sets the metadata container of this model.
setAutoFormatSwitch(boolean) - Static method in class jline.util.matrix.Matrix: Enables or disables automatic storage-format re-evaluation of operation results (hysteresis between the densify and sparsify thresholds).
setAuxFilt(Matrix[][], Matrix[][]) - Method in class jline.solvers.ctmc.ResultCTMC
setAvgHandles(SolverAvgHandles) - Method in class jline.solvers.fluid.SolverFluid: Enhanced method to set average handles with validation
setAvgHandles(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Sets the steady-state average performance metric handles.
setAvgResults(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, double, String, int) - Method in class jline.solvers.NetworkSolver
setBackgroundImage(VisualizationViewer<?, ?>, BufferedImage) - Static method in class jline.io.ModelVisualizer: Sets a background image for the visualization viewer.
setBalking(BalkingStrategy, int, double) - Method in class jline.lang.JobClass: Sets the global balking configuration using a single threshold.
setBalking(BalkingStrategy, List<BalkingThreshold>) - Method in class jline.lang.JobClass: Sets the global balking configuration for this job class using queue-length thresholds.
setBalking(JobClass, BalkingStrategy, int, double) - Method in class jline.lang.nodes.Station: Sets the balking configuration using a single threshold.
setBalking(JobClass, BalkingStrategy, List<BalkingThreshold>) - Method in class jline.lang.nodes.Station: Sets the balking configuration for a specific job class at this station.
setBatchRejectProbability(JobClass, double) - Method in class jline.lang.nodes.Station: Sets the batch rejection probability for a specific job class.
setBorderPadding(int) - Method in class jline.io.tikz.SequenceDiagramOptions
setBorderPadding(int) - Method in class jline.io.tikz.TikZOptions
setBranchProbability(JobClass, Node, double) - Method in class jline.lang.nodes.Fork: Activates an outgoing branch only with probability prob.
setBreakdown(Distribution, Distribution) - Method in class jline.lang.nodes.Queue: Makes the server of this station subject to breakdowns, with no service at all while the server is down.
setBreakdown(Distribution, Distribution, Distribution) - Method in class jline.lang.nodes.Queue: Makes the server of this station subject to breakdowns.
setBreakdownResetPolicy(String, String) - Method in class jline.lang.Environment: Sets a named reset policy for queue lengths when a node breaks down.
setBreakdownResetPolicy(String, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment: Sets the reset policy for queue lengths when a node breaks down.
setBreakdownResetPolicy(Node, String) - Method in class jline.lang.Environment: Sets a named reset policy for queue lengths when a node breaks down.
setBreakdownResetPolicy(Node, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment: Sets the reset policy for queue lengths when a node breaks down.
setCallback(DifferentialEvolution.Callback) - Method in class jline.opt.solver.de.DifferentialEvolution
setCallData(List<String>, List<String>, List<String>) - Method in class jline.solvers.wrappers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
setCallOrder(String) - Method in class jline.lang.layered.Activity
setCap(int) - Method in class jline.lang.nodes.Station: Alias for setCapacity() for backwards compatibility.
setCapacity(int) - Method in class jline.lang.nodes.Station: Sets the total capacity limit for this station.
setCclassJobLoad(String) - Method in class jline.gen.NetworkGenerator
setCdf(int, int, Matrix) - Method in class jline.io.Ret.DistributionResult: Sets the CDF for a specific station and class.
setChainCapacity(double[]) - Method in class jline.lang.nodes.Station: Sets the capacity for each chain in the network.
setChainNames(List<String>) - Method in class jline.solvers.NetworkAvgChainTable
setChainNames(List<String>) - Method in class jline.solvers.NetworkAvgNodeChainTable
setChainNames(List<String>) - Method in class jline.solvers.NetworkAvgSysTable
setChainNames(List<String>) - Method in class jline.solvers.NetworkMomentChainTable: Sets the chain names, one per row.
setChecks(boolean) - Method in class jline.lang.Network: Enables or disables validation checks for this network.
setChecks(boolean) - Method in class jline.solvers.Solver: Enables or disables validation checks during solver execution.
setCimethod(String) - Method in class jline.solvers.ldes.LDESOptions: Sets the confidence interval computation method.
setCiminbatch(int) - Method in class jline.solvers.ldes.LDESOptions: Sets the minimum batch size for CI computation.
setCiminobs(int) - Method in class jline.solvers.ldes.LDESOptions: Sets the minimum observations required for CI computation.
setClassCap(JobClass, int) - Method in class jline.lang.nodes.Station: Sets the capacity limit for a specific job class at this station.
setClassCapacity(JobClass, int) - Method in class jline.lang.nodes.Place
setClassCapacity(JobClass, int) - Method in class jline.lang.nodes.Station: Alias of Station.setClassCap(jline.lang.JobClass, int), under the name the other three codebases use: MATLAB setClassCapacity, native Python set_class_capacity/setClassCapacity and C++ set_class_capacity.
setClassDependence(SerializableFunction<Matrix, Matrix>) - Method in class jline.lang.nodes.Queue: Sets a class-dependent scaling function for service rates.
setClassDependence(SerializableFunction<Matrix, Matrix>, Matrix) - Method in class jline.lang.layered.LayeredNetworkElement: Sets a class-dependent service-rate scaling on this server's layer station.
setClassDependence(SerializableFunction<Matrix, Matrix>, Matrix) - Method in class jline.lang.nodes.Queue: Sets a class-dependent service-rate scaling and its required peak rate per class.
setClassIdx(int) - Method in class jline.api.qsys.RetrialInfo
setClassMaxJobs(JobClass, int) - Method in class jline.lang.Region
setClassMaxMemory(JobClass, int) - Method in class jline.lang.Region
setClassName(String) - Method in class jline.lang.Metric
setClassNames(List<String>) - Method in class jline.solvers.LayeredNetworkSensitivityTable: Sets the job class names, one per row.
setClassNames(List<String>) - Method in class jline.solvers.NetworkAvgCacheTable
setClassNames(List<String>) - Method in class jline.solvers.NetworkAvgNodeTable
setClassNames(List<String>) - Method in class jline.solvers.NetworkAvgOrbitTable
setClassNames(List<String>) - Method in class jline.solvers.NetworkAvgTable: Sets the list of job class names.
setClassNames(List<String>) - Method in class jline.solvers.NetworkBoundsTable: Sets the job class names, one per row.
setClassNames(List<String>) - Method in class jline.solvers.NetworkLossTable
setClassNames(List<String>) - Method in class jline.solvers.NetworkMomentTable: Sets the job class names, one per row.
setClassNames(List<String>) - Method in class jline.solvers.NetworkPercTable
setClassNames(List<String>) - Method in class jline.solvers.NetworkSensitivityTable: Sets the job class names, one per row.
setClassSize(JobClass, double) - Method in class jline.lang.Region
setClassSize(JobClass, int) - Method in class jline.lang.Region
setClassSwitchingMatrix(ClassSwitchMatrix) - Method in class jline.lang.nodes.ClassSwitch
setClassWeight(JobClass, double) - Method in class jline.lang.Region
setClientIdx(int) - Method in class jline.lang.NetworkAttribute
setClosed(int[], double[]) - Method in class jline.gen.Cluster: Switches the cluster to the closed variant with one entry per class.
setClosed(int, double) - Method in class jline.gen.Cluster: Switches the cluster to the closed variant with a single class.
setCnvgbatch(int) - Method in class jline.solvers.ldes.LDESOptions: Sets the minimum number of batches before checking convergence.
setCnvgchk(int) - Method in class jline.solvers.ldes.LDESOptions: Sets the number of events between convergence checks.
setCnvgon(boolean) - Method in class jline.solvers.ldes.LDESOptions: Sets whether convergence-based stopping is enabled.
setCnvgtol(double) - Method in class jline.solvers.ldes.LDESOptions: Sets the convergence tolerance.
setCols(Matrix, int[], Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Assigns src (rows x |cols|) into the given columns of dst (all rows).
setColumn(int, Matrix) - Method in class jline.util.matrix.Matrix: Sets the specified column to the values in the given vector.
setColumnIndex(int, int) - Method in class jline.util.matrix.BaseMatrix
setColumnIndex(int, int) - Method in class jline.util.matrix.DenseMatrix
setColumnIndex(int, int) - Method in class jline.util.matrix.SparseMatrix
setColumns(int, int, Matrix) - Method in class jline.util.matrix.Matrix: Sets multiple columns starting from column index j0 to j1 (exclusive) using values from another matrix.
setCompatibleClasses(List<JobClass>) - Method in class jline.lang.constant.ServerType: Sets the list of compatible job classes, replacing any existing list.
setCompletes(boolean) - Method in class jline.lang.JobClass
setCompression(boolean) - Method in class jline.solvers.env.SolverENV
setConditional(ConditionEvent) - Method in class jline.inference.lang.SampledMetric: Set a conditioning event on this metric.
setConnectionMatrix(Matrix) - Method in class jline.lang.Network
setConstraint(Matrix, Matrix) - Method in class jline.lang.layered.LayeredNetworkElement: Raw form of addConstraint, for programmatic construction.
setCostCaps(Matrix) - Method in class jline.lang.nodes.Cache: Sets the per-list cap on the total storage cost of the resident items.
setCsMatrix(Matrix) - Method in class jline.lang.Network
setData(double[]) - Method in class jline.inference.lang.SampledMetric
setData(Object) - Method in class jline.util.matrix.BaseMatrix: Sets the underlying data structure.
setData(Object) - Method in class jline.util.matrix.DenseMatrix
setData(Object) - Method in class jline.util.matrix.SparseMatrix: Sets the underlying data structure for BaseMatrix compatibility.
setData(DMatrix) - Method in class jline.util.matrix.DenseMatrix: Sets the underlying EJML dense matrix data structure.
setData(DMatrix) - Method in class jline.util.matrix.Matrix: Deprecated.
raw storage access; use Matrix.setTo(Matrix) instead
setData(DMatrixRMaj) - Method in class jline.util.matrix.DenseMatrix: Sets the underlying EJML dense matrix data structure.
setData(DMatrixSparseCSC) - Method in class jline.util.matrix.SparseMatrix: Sets the underlying EJML sparse matrix data structure.
setDeadline(double) - Method in class jline.lang.JobClass: Sets the relative deadline for jobs in this class.
setDefaultRuntime(double) - Method in class jline.io.WfCommonsOptions: Set the default runtime when execution data is missing.
setDefaults(double, double, double) - Method in class jline.solvers.SolverOptions.ODESolvers: Installs the built-in integrators, mirroring MATLAB SolverOptions.m: fastOdeSolver/accurateOdeSolver are the non-stiff pair (@ode23 / @ode113 there, their adaptive Runge-Kutta and Adams-Moulton counterparts here) and the stiff pair is LSODA, as @ode15s is there.
setDefaultSCV(double) - Method in class jline.io.WfCommonsOptions: Set the default SCV for APH/HyperExp distributions.
setDelayOff(JobClass, Distribution, Distribution) - Method in class jline.lang.nodes.Queue: Sets the setup time and delay off time for a job class.
setDelayOffTime(double) - Method in class jline.lang.layered.FunctionTask: Deprecated.
setDelayOffTime(double) - Method in class jline.lang.layered.SetupTask
setDelayOffTime(double) - Method in class jline.lang.layered.Task: Set the delay-off time using a mean value (creates exponential distribution).
setDelayOffTime(Distribution) - Method in class jline.lang.layered.FunctionTask: Deprecated.
setDelayOffTime(Distribution) - Method in class jline.lang.layered.SetupTask
setDelayOffTime(Distribution) - Method in class jline.lang.layered.Task: Set the delay-off time (teardown time) for the task.
setDepartureDiscipline(JobClass, DepartureDiscipline) - Method in class jline.lang.nodes.Place
setDependency(String, String) - Method in class jline.opt.decomposition.DecompositionWorkflow
setDestination(Node) - Method in class jline.lang.OutputStrategy
setDiagramOptions(SequenceDiagramOptions) - Method in class jline.io.LQN2UML.Options
setdiff(Matrix, Matrix) - Static method in class jline.util.Maths: Set difference operation for Matrix objects that are vectors.
setDispatching(RoutingStrategy) - Method in class jline.gen.Cluster: Sets the dispatching strategy applied at the router.
setDistribResults(Matrix, double) - Method in class jline.solvers.NetworkSolver: Stores distribution metrics at steady-state.
setDistribution(String) - Method in class jline.gen.NetworkGenerator
setDistribution(Mode, Distribution) - Method in class jline.lang.nodes.Transition
setDistributionType(WfCommonsOptions.DistributionType) - Method in class jline.io.WfCommonsOptions: Set the distribution type for task service times.
setDownService(JobClass, Distribution) - Method in class jline.lang.nodes.Queue: Sets the degraded service distribution used for one class while the server is down.
setDpi(int) - Method in class jline.io.LQN2UML.Options
setDropRule(JobClass, boolean) - Method in class jline.lang.Region: Sets the drop rule using a boolean for backwards compatibility.
setDropRule(JobClass, DropStrategy) - Method in class jline.lang.nodes.Station: Sets the drop strategy for a specific job class when capacity is exceeded.
setDropRule(JobClass, DropStrategy) - Method in class jline.lang.Region: Sets the drop strategy for a specific job class.
setEnabled(boolean) - Method in class jline.lang.state.EventCache
setEnablingConditions(Mode, JobClass, Place, int) - Method in class jline.lang.nodes.Transition
setEnsemble(List<Network>) - Method in class jline.lang.Ensemble: Sets the list of network models for this ensemble.
setEnsembleResults(Map<Integer, Map<Integer, SolverResult>>) - Method in class jline.solvers.EnsembleSolver: Hands the solver the results a hand-driven analyze loop has collected, so that post has something to update the inter-layer metrics from.
setErrorMsg(String) - Method in class jline.api.qsys.RetrialInfo
setEvent(EventType) - Method in class jline.lang.Event: Sets the type of this event.
setEvent(EventType) - Method in class jline.lang.ModeEvent
setEventCache(EventCache) - Method in class jline.solvers.ssa.SolverSSA
setExponentialApproximation(int, int, double) - Method in class jline.io.Ret.DistributionResult: Sets an exponential approximation CDF based on mean value.
SETF - Enum constant in enum jline.lang.constant.SchedStrategy: Shortest Elapsed Time First - non-preemptive FB/LAS (priority by attained service, no preemption)
setFalse(String) - Method in class jline.lang.FeatureSet: Sets a single feature to false in the feature set.
setFalse(String[]) - Method in class jline.lang.FeatureSet: Sets multiple features to false in the feature set.
setFanIn(String, int) - Method in class jline.lang.layered.Task
setFanOut(String, int) - Method in class jline.lang.layered.Task
setFdRefresh(int) - Method in class jline.opt.solver.LineOptSolverOptions: Set the partial_plus_fd full finite-difference correction period.
setFdStep(double) - Method in class jline.opt.solver.LineOptSolverOptions
setFdStepLayered(double) - Method in class jline.opt.solver.LineOptSolverOptions
setFileName(String) - Method in class jline.solvers.wrappers.jmt.SolverJMT
setFilePath(String) - Method in class jline.solvers.wrappers.jmt.SolverJMT
setFiringOutcome(Mode, JobClass, Node, int) - Method in class jline.lang.nodes.Transition
setFiringPriorities(Mode, int) - Method in class jline.lang.nodes.Transition
setFiringRateDependence(Mode, SerializableFunction<Matrix, Double>) - Method in class jline.lang.nodes.Transition: Marking-dependent firing-rate multiplier for a timed mode.
setFiringWeights(Mode, double) - Method in class jline.lang.nodes.Transition
setFirst(A) - Method in class jline.util.Triple
setFirstColumnName(String) - Method in class jline.solvers.NetworkLossTable
setFixedVariables(List<Pair<DecisionVariable, Object>>) - Method in class jline.opt.OptimizationProblem
setFluidDistribResults(Matrix, double) - Method in class jline.solvers.fluid.SolverFluid: Set distribution results with enhanced metadata for fluid solver
setFluidTranAvgResults(Matrix[][], Matrix[][], Matrix[][], Matrix[][], Matrix[][], Matrix[][], double) - Method in class jline.solvers.fluid.SolverFluid: Set transient average results with proper validation
setForceStiff(boolean) - Method in class odesolver.LSODA: Whether to start on the BDF half and never switch back to Adams.
setForkWarmStart(Matrix) - Method in class jline.solvers.mva.SolverMVA: Seeds the MMT fixed point with a previously retained iterate.
setFormat(LQN2UML.Format) - Method in class jline.io.LQN2UML.Options
setFrozenLayers(List<String>) - Method in class jline.opt.solver.LineOptSolverOptions: Freeze the given LQN layers (list of host/task layer names).
setGamma(double) - Method in class jline.api.qsys.RetrialInfo
setGlobalDependence(SerializableFunction<Matrix, Matrix>, Matrix) - Method in class jline.lang.Network: Declares a globally state-dependent service-rate scaling phi(n), where n is the FULL (nstations x nclasses) population matrix rather than the population local to one station.
setGlobalDependence(SerializableFunction<Matrix, Matrix>, Matrix, int) - Method in class jline.lang.Network: As Network.setGlobalDependence(SerializableFunction, Matrix), with an explicit per-slot OPEN-class truncation used when phi is materialized onto the JSON wire (closed classes are tabulated up to their own population).
setGlobalMaxJobs(int) - Method in class jline.lang.Region
setGlobalMaxMemory(double) - Method in class jline.lang.Region
setGlobalMaxMemory(int) - Method in class jline.lang.Region
setGradientRestarts(int) - Method in class jline.opt.solver.LineOptSolverOptions
setHasStruct(boolean) - Method in class jline.lang.Network
setHeteroSchedPolicy(HeteroSchedPolicy) - Method in class jline.lang.nodes.Queue: Sets the scheduling policy for heterogeneous servers.
setHideAutoGeneratedNodes(boolean) - Method in class jline.io.tikz.TikZOptions
setHitClass(JobClass, JobClass) - Method in class jline.lang.nodes.Cache: Sets the output class for jobs that experience a cache hit.
setHostDemand(double) - Method in class jline.lang.layered.Activity
setHostDemand(double) - Method in class jline.lang.workflow.WorkflowActivity
setHostDemand(Distribution) - Method in class jline.lang.layered.Activity
setHostDemand(Distribution) - Method in class jline.lang.workflow.WorkflowActivity
setHostDemandMean(double) - Method in class jline.lang.workflow.WorkflowActivity: Change the mean, preserving the shape.
setHostDemandRange(double[]) - Method in class jline.gen.LayeredNetworkGenerator
setId(int) - Method in class jline.lang.constant.ServerType: Sets the unique identifier of this server type.
setIdx(int) - Method in class jline.lang.NodeAttribute
setImmediateFeedback(boolean) - Method in class jline.lang.JobClass: Enables or disables immediate feedback for this job class globally.
setImmediateFeedback(boolean) - Method in class jline.lang.nodes.Queue: Enables or disables immediate feedback for all job classes at this queue.
setImmediateFeedback(JobClass) - Method in class jline.lang.nodes.Queue: Enables immediate feedback for a specific job class at this queue.
setImmediateFeedbackForClasses(List<JobClass>) - Method in class jline.lang.nodes.Queue: Enables immediate feedback for multiple job classes at this queue.
setInChainNames(List<String>) - Method in class jline.solvers.NetworkAvgChainTable
setInChainNames(List<String>) - Method in class jline.solvers.NetworkAvgNodeChainTable
setInChainNames(List<String>) - Method in class jline.solvers.NetworkAvgSysTable
setIndex(int) - Method in class jline.lang.ItemSet
setIndex(int) - Method in class jline.lang.workflow.WorkflowActivity
setInhibitingConditions(Mode, JobClass, Place, int) - Method in class jline.lang.nodes.Transition
setInitialized(boolean) - Method in class jline.lang.Network: Sets the initialization status of this network.
setInitializeStates(boolean) - Method in class jline.gen.NetworkGenerator
setIsHost(boolean) - Method in class jline.lang.NodeAttribute
setItemClasses(JobClass, JobClass[]) - Method in class jline.lang.nodes.Cache: Mint one class per item at a cache FED BY ANOTHER CACHE, so item identity survives the miss hop.
setItemGraph(double[][][]) - Method in class jline.lib.rmf.CachePosGraphRMF
setItemGraph(double[][][]) - Method in class jline.lib.rmf.CacheRMF: Set the per-item access graph enabling the general (accost-aware) drift.
setItemLevelCap(int) - Method in class jline.lang.layered.CacheTask
setItemLevelCap(int[]) - Method in class jline.lang.layered.CacheTask
setItemMissClass(JobClass, JobClass[]) - Method in class jline.lang.nodes.Cache: Terminate a cache network: every per-item class of this cache reports a miss as the matching entry of missClasses, which the user routes onward.
setItemOfClass(JobClass, int) - Method in class jline.lang.nodes.Cache: Record that a class reads a given item (1-based), as read back from JSON.
setItemReadClasses(JobClass[], JobClass[]) - Method in class jline.lang.nodes.Cache: Declare that readClasses[i] is the request stream for item i at this cache.
setItemRoutingProb(JobClass, int, Node, Node, double) - Method in class jline.lang.nodes.Cache: Short alias for Cache.setItemRoutingProbability(jline.lang.JobClass, int, jline.lang.nodes.Node, jline.lang.nodes.Node, double).
setItemRoutingProbability(JobClass, int, Node, Node, double) - Method in class jline.lang.nodes.Cache: Sets the routing probability for an item retrieval transition between two nodes of the retrieval system.
setItems(int) - Method in class jline.lang.layered.CacheTask
setItemServiceRate(Cache, JobClass, int, double) - Method in class jline.lang.nodes.Queue: Override, at this queue, the retrieval service rate for a single item of the read class jobinClass in the given cache's retrieval system.
setItemSizes(Matrix) - Method in class jline.lang.nodes.Cache: Sets the storage cost (size) of each item, a positive integer vector with one entry per item.
setJmtJarPath(String) - Method in class jline.solvers.wrappers.jmt.SolverJMT
setJob(double) - Method in class jline.lang.Event: Sets the job identifier for this event.
setJob(double) - Method in class jline.lang.ModeEvent
setJobClass(boolean) - Method in class jline.lang.nodes.Logger
setJobClass(int) - Method in class jline.lang.Event: Sets the job class index for this event.
setJobID(boolean) - Method in class jline.lang.nodes.Logger
setJoinNodeRequired(int, JobClass, int) - Method in class jline.lang.Network
setJoinNodeStrategy(int, JobClass, JoinStrategy) - Method in class jline.lang.Network
setJointDependence(SerializableFunction<Matrix, Matrix>, Matrix) - Method in class jline.lang.layered.LayeredNetworkElement: Sets a joint-dependent (non-product-form) service-rate scaling on this server's layer station.
setJointDependence(SerializableFunction<Matrix, Matrix>, Matrix) - Method in class jline.lang.nodes.Queue: Sets a joint-dependent (non-product-form) service-rate scaling and its required peak rate per class.
setLang() - Method in class jline.solvers.NetworkSolver: Sets the language for solver execution.
setLayerMethods(List<String>) - Method in class jline.solvers.LayeredNetworkSensitivityTable: Sets the branch taken by each layer.
setLayerNames(List<String>) - Method in class jline.solvers.LayeredNetworkSensitivityTable: Sets the layer names, one per row.
setLayerSens(List<Ret.pfqnSens>) - Method in class jline.solvers.LayeredNetworkSensitivityTable: Sets the raw differentiated-MVA result of each layer.
setLayerSpacing(double) - Method in class jline.io.tikz.TikZOptions
setLeft(T) - Method in class jline.util.Pair
setLibraryAttributionShown(boolean) - Static method in class jline.lang.GlobalConstants: Set the library attribution shown flag.
setLifelineSpacing(double) - Method in class jline.io.tikz.SequenceDiagramOptions
setLimit(int) - Method in class jline.lang.nodes.Queue: Sets the maximum number of jobs for LPS scheduling.
setLimitedClassDependence(SerializableFunction<Matrix, Matrix>) - Method in class jline.lang.nodes.Station: Refuses a class dependence declared without its peak rate: the peak is the max_n beta_{i,r}(n) that utilization is normalized by, and it cannot be recovered from the handle.
setLimitedClassDependence(SerializableFunction<Matrix, Matrix>, Matrix) - Method in class jline.lang.nodes.Station: Sets the limited class-dependent scaling function and its declared peak rate scaling per class (used to normalize utilization as U = T*S/peak).
setLimitedJointDependence(SerializableFunction<Matrix, Matrix>) - Method in class jline.lang.nodes.Station: Refuses a joint dependence declared without its peak rate; twin of Station.setLimitedClassDependence(SerializableFunction).
setLimitedJointDependence(SerializableFunction<Matrix, Matrix>, Matrix) - Method in class jline.lang.nodes.Station: Sets the limited joint-dependent scaling function and its declared peak rate scaling per class (used to normalize utilization as U = T*S/peak).
setLimitedLoadDependence(Matrix) - Method in class jline.lang.nodes.Station: Sets the limited load-dependent scaling matrix for this station.
setLinearConstraints(Matrix, Matrix) - Method in class jline.lang.Region: Sets general linear admission constraints An <= b.
setLoadDependence(Matrix) - Method in class jline.lang.layered.LayeredNetworkElement: Sets the service-rate scaling of the station that represents this server in its layer: alpha[n] applies when that station holds n jobs in total, as in Queue.setLoadDependence.
setLoadDependence(Matrix) - Method in class jline.lang.nodes.Queue: Sets load-dependent service rate scaling factors.
setLoggerName(boolean) - Method in class jline.lang.nodes.Logger
setLogPath(String) - Method in class jline.lang.Network
setLqnGradient(String) - Method in class jline.opt.solver.LineOptSolverOptions: Set the LQN gradient source: 'fd', 'partial_sens', or 'partial_plus_fd'.
setLsodaMaxSteps(LSODA, int) - Static method in class jline.solvers.SolverOptions: Set the maximum number of internal steps for an LSODA solver instance via reflection (the library does not expose a public setter).
setMarginal(int, int, Matrix) - Method in class jline.solvers.mva.ProbabilityResult: Set the marginal probability distribution for a specific station and class.
setMarkedArrival(BMMAPt, List<JobClass>) - Method in class jline.lang.nodes.Source: Binds a BATCH marked time-inhomogeneous process with K marks to K open classes.
setMarkedArrival(MarkedMAP, List<JobClass>) - Method in class jline.lang.nodes.Source: Binds a MarkedMAP with K marks to K open classes: mark k emits jobs of class classes.get(k-1), with all marks driven by one shared modulating chain.
setMarkedArrival(MMAPt, List<JobClass>) - Method in class jline.lang.nodes.Source: Binds a time-inhomogeneous marked arrival process with K marks to K open classes.
setMarkedArrival(MPHt, List<JobClass>) - Method in class jline.lang.nodes.Source: Binds a time-inhomogeneous marked phase-type process with K marks to K open classes.
setMarking(int) - Method in class jline.lang.nodes.Place: Alias for StatefulNode.setState(int) using Petri-net terminology: sets the initial token marking of this place.
setMarking(Matrix) - Method in class jline.lang.nodes.Place: Alias for StatefulNode.setState(jline.util.matrix.Matrix) using Petri-net terminology: sets the initial per-class token marking of this place.
setMasterSeed(int) - Static method in class jline.util.RandomManager: Sets the master seed that controls all random number generation.
setMatlabRandomSeed(long) - Static method in class jline.util.Maths
setMaxEvaluations(int) - Method in class odesolver.LSODA
setMaxEvents(long) - Method in class jline.solvers.wrappers.jmt.SolverJMT
setMaxIterations(int) - Method in class jline.opt.solver.LineOptSolverOptions
setMaxSamples(long) - Method in class jline.solvers.wrappers.jmt.SolverJMT
setMaxSimEvents(int) - Method in class jline.solvers.ldes.LDESOptions: Sets the maximum number of total simulation events.
setMaxSimulatedTime(double) - Method in class jline.solvers.wrappers.jmt.SolverJMT
setMean(double) - Method in class jline.lang.processes.Det: Sets the mean (constant value) of this deterministic distribution.
setMean(double) - Method in class jline.lang.processes.Exp: Sets the mean by rescaling the process AND the rate parameter.
setMean(double) - Method in class jline.lang.processes.Markovian: Sets the mean of this Markovian distribution by scaling the process.
setMeanValue(double) - Method in class jline.lang.Metric: Overwrites the mean.
setMessageSpacing(double) - Method in class jline.io.tikz.SequenceDiagramOptions
setMetadata(Map<String, Object>) - Method in class jline.lang.workflow.WorkflowActivity: Set optional metadata.
setMetadataValue(String, Object) - Method in class jline.lang.workflow.WorkflowActivity: Set a metadata value.
setMethod(String) - Method in class jline.solvers.LayeredNetworkSensitivityTable: Sets the branch summary of the table.
setMethod(String) - Method in class jline.solvers.NetworkSensitivityTable: Sets the branch that produced the table.
setMetricType(MetricType) - Method in class jline.lang.Metric: Overwrites the metric type.
setMinProbToShow(double) - Method in class jline.io.tikz.TikZOptions
setMissCache(JobClass, Cache, JobClass[]) - Method in class jline.lang.nodes.Cache: Send this cache's misses to nextCache preserving item identity: the miss class of this cache for item i IS the read class of nextCache for item i.
setMissClass(JobClass, JobClass) - Method in class jline.lang.nodes.Cache: Sets the output class for jobs that experience a cache miss.
setMixed(double[], int[], double[]) - Method in class jline.gen.Cluster: Switches the cluster to the mixed variant, in which open and closed classes share the dispatcher and the servers.
setMixed(double, int, double) - Method in class jline.gen.Cluster: Mixed cluster with a single open and a single closed class.
setMode(int) - Method in class jline.lang.ModeEvent
setModel(Network) - Method in class jline.lang.nodes.Node: Sets the network model containing this node.
setModel(Network) - Method in class jline.lang.Region: Records the owning network so that changing this region invalidates the network's cached NetworkStruct.
setModel(Network) - Method in class jline.solvers.NetworkSolver: Sets the queueing network model to be solved.
setModeNames(Mode, String) - Method in class jline.lang.nodes.Transition
setMoments(NetworkMomentResult) - Method in class jline.solvers.NetworkMomentTable: Sets the raw moment results.
setMoments(NetworkMomentStationResult) - Method in class jline.solvers.NetworkMomentChainTable: Sets the raw moment results.
setMoments(NetworkMomentStationResult) - Method in class jline.solvers.NetworkMomentStationTable: Sets the raw moment results.
setMserbatch(int) - Method in class jline.solvers.ldes.LDESOptions: Sets the MSER batch size.
setMultiplicity(int) - Method in class jline.lang.layered.Host
setMultiplicity(int) - Method in class jline.lang.layered.Task
setMutation(double, double) - Method in class jline.opt.solver.LineOptSolverOptions
setN(int) - Method in class jline.api.qsys.RetrialInfo
setName(String) - Method in class jline.lang.Chain: Sets the name of this chain.
setName(String) - Method in class jline.lang.Element: Sets the name of this element.
setName(String) - Method in class jline.lang.Model: Sets the name of this model.
setName(String) - Method in class jline.lang.Region
setNaNTo(double) - Method in class jline.util.matrix.Matrix: Replaces all NaN entries in the matrix with the specified value.
setNaNToZero() - Method in class jline.util.matrix.Matrix: Replaces all NaN entries in the matrix with zero.
setNDigits(int) - Method in class jline.solvers.LayeredNetworkSensitivityTable: Sets the number of decimal digits to display in formatted output.
setNDigits(int) - Method in class jline.solvers.NetworkMomentChainTable: Sets the number of decimal digits to display in formatted output.
setNDigits(int) - Method in class jline.solvers.NetworkMomentStationTable: Sets the number of decimal digits to display in formatted output.
setNDigits(int) - Method in class jline.solvers.NetworkMomentTable: Sets the number of decimal digits to display in formatted output.
setNDigits(int) - Method in class jline.solvers.NetworkSensitivityTable: Sets the number of decimal digits to display in formatted output.
setNode(int) - Method in class jline.lang.Event: Sets the node index where this event occurred.
setNode(int) - Method in class jline.lang.ModeEvent
setNodeIdx(int) - Method in class jline.api.qsys.RetrialInfo
setNodeIdx(int) - Method in class jline.lang.nodes.Node: Sets the index of this node in the network's node collection.
setNodeNames(List<String>) - Method in class jline.solvers.LayeredNetworkAvgTable
setNodeNames(List<String>) - Method in class jline.solvers.NetworkAvgCacheTable
setNodeNames(List<String>) - Method in class jline.solvers.NetworkAvgItemTable
setNodeNames(List<String>) - Method in class jline.solvers.NetworkAvgNodeChainTable
setNodeNames(List<String>) - Method in class jline.solvers.NetworkAvgNodeTable
setNodeRouting(int, JobClass, RoutingStrategy) - Method in class jline.lang.Network
setNodeSpacing(double) - Method in class jline.io.tikz.TikZOptions
setNodeType(String) - Method in class jline.lang.Metric: Sets the node type ("station" or "region").
setNodeTypes(List<String>) - Method in class jline.solvers.LayeredNetworkAvgTable
setNonZeroLength(int) - Method in class jline.util.matrix.BaseMatrix
setNonZeroLength(int) - Method in class jline.util.matrix.DenseMatrix
setNonZeroLength(int) - Method in class jline.util.matrix.SparseMatrix
setNonZeroRow(int, int) - Method in class jline.util.matrix.BaseMatrix
setNonZeroRow(int, int) - Method in class jline.util.matrix.DenseMatrix
setNonZeroRow(int, int) - Method in class jline.util.matrix.SparseMatrix
setNonZeroValue(int, double) - Method in class jline.util.matrix.BaseMatrix
setNonZeroValue(int, double) - Method in class jline.util.matrix.DenseMatrix
setNonZeroValue(int, double) - Method in class jline.util.matrix.SparseMatrix
setNumberOfDigits(int) - Method in class jline.solvers.NetworkAvgChainTable
setNumberOfDigits(int) - Method in class jline.solvers.NetworkAvgNodeChainTable
setNumberOfDigits(int) - Method in class jline.solvers.NetworkAvgSysTable
setNumberOfDigits(int) - Method in class jline.solvers.NetworkAvgTable: Sets the number of decimal digits to display in formatted output.
setNumberOfDigits(int) - Method in class jline.solvers.NetworkBoundsTable: Sets the number of decimal digits used when printing.
setNumberOfDigits(int) - Method in class jline.solvers.NetworkPercTable
setNumberOfServers(int) - Method in class jline.lang.nodes.Place
setNumberOfServers(int) - Method in class jline.lang.nodes.Queue: Sets the number of servers at this queueing station.
setNumberOfServers(int) - Method in class jline.lang.nodes.Station: Sets the number of servers at this station.
setNumberOfServers(Mode, Integer) - Method in class jline.lang.nodes.Transition
setNumOfServers(int) - Method in class jline.lang.constant.ServerType: Sets the number of servers of this type.
setNumParams(int) - Method in class jline.lang.processes.Distribution: Sets the number of parameters for this distribution.
setNumStations(int) - Method in class jline.gen.Cluster: Sets the number of parallel server queues.
setNumThreads(int) - Method in class jline.solvers.EnsembleSolver
setNumThreads(int) - Method in class jline.solvers.ldes.LDESOptions: Sets the number of parallel threads for replication execution.
setNumThreads(int) - Method in class jline.solvers.ldes.SolverLDES: Sets the parallelism level for replication execution.
setNumThreads(int) - Method in class jline.solvers.ssa.SolverSSA
setObjective(Objective) - Method in class jline.opt.OptimizationProblem
setObmoverlap(double) - Method in class jline.solvers.ldes.LDESOptions: Sets the OBM overlap fraction.
setODEMaxStep(double) - Method in class jline.solvers.SolverOptions: Sets the maximum step size for ODE solvers and updates all integrators.
setODEMinStep(double) - Method in class jline.solvers.SolverOptions: Sets the minimum step size for ODE solvers and updates all integrators.
setOptimizer(String) - Method in class jline.opt.solver.LineOptSolverOptions
setOptions(SolverOptions) - Method in class jline.solvers.AvgTable: Sets the solver options associated with this table.
setOptions(SolverOptions) - Method in class jline.solvers.LayeredNetworkAvgTable
setOptions(SolverOptions) - Method in class jline.solvers.NetworkAvgCacheTable
setOptions(SolverOptions) - Method in class jline.solvers.NetworkAvgChainTable
setOptions(SolverOptions) - Method in class jline.solvers.NetworkAvgItemTable
setOptions(SolverOptions) - Method in class jline.solvers.NetworkAvgNodeChainTable
setOptions(SolverOptions) - Method in class jline.solvers.NetworkAvgNodeTable
setOptions(SolverOptions) - Method in class jline.solvers.NetworkAvgOrbitTable
setOptions(SolverOptions) - Method in class jline.solvers.NetworkAvgSysTable
setOptions(SolverOptions) - Method in class jline.solvers.NetworkAvgTable: Sets the solver options for this table.
setOptions(SolverOptions) - Method in class jline.solvers.NetworkBoundsTable: Sets the solver options associated with this table.
setOptions(SolverOptions) - Method in class jline.solvers.NetworkLossTable
setOptions(SolverOptions) - Method in class jline.solvers.NetworkPercTable
setOptions(SolverOptions) - Method in class jline.solvers.Solver: Sets new solver options.
setOrbit(JobClass, Distribution) - Method in class jline.lang.nodes.Station: Declares an unbounded orbit with the classical per-customer (LINEAR) policy.
setOrbit(JobClass, Distribution, int) - Method in class jline.lang.nodes.Station: Declares an unbounded orbit with the given retrial policy.
setOrbit(JobClass, Distribution, int, int) - Method in class jline.lang.nodes.Station: Declares this station to be a retrial queue for a job class: a job that finds every server busy joins an orbit and re-attempts entry after a random delay, instead of waiting in a line.
setOrbitImpatience(JobClass, Distribution) - Method in class jline.lang.nodes.Station: Sets the orbit impatience (abandonment) distribution for a specific job class.
setOutputPath(String) - Method in class jline.io.LQN2UML.Options
setOutputStrategy(JobClass, RoutingStrategy) - Method in class jline.lang.sections.OutputSection
setOutputStrategy(JobClass, RoutingStrategy, Node, double) - Method in class jline.lang.sections.Forker
setOutputStrategy(JobClass, RoutingStrategy, Node, double) - Method in class jline.lang.sections.OutputSection
setOutputTimes(double[]) - Method in class odesolver.LSODA: Instants to record besides the integrator's own steps, increasing.
setP(double) - Method in class jline.api.qsys.RetrialInfo
setParallelism(int) - Method in class jline.solvers.ssa.SolverSSA
setParam(int, String, Object) - Method in class jline.lang.processes.Distribution: Sets a parameter value for this distribution.
setParam(int, String, Object) - Method in class jline.lang.processes.Process: Set a parameter by id, name and value
setParams(LayeredNetwork, List<ParamSpec>, Matrix) - Static method in class jline.api.infer.InferLqn: Apply a parameter vector to a LayeredNetwork in place.
setParent(Task) - Method in class jline.lang.layered.Activity
setParentQueue(Queue) - Method in class jline.lang.constant.ServerType: Sets the parent queue for this server type.
setPassive(List<ModeEvent>) - Method in class jline.lang.GlobalSync
setPatience(ImpatienceType, Distribution) - Method in class jline.lang.JobClass: Sets the global impatience type and distribution for this job class.
setPatience(JobClass, ImpatienceType, Distribution) - Method in class jline.lang.nodes.Station: Sets the impatience type and distribution for a specific job class at this station.
setPatience(JobClass, Distribution) - Method in class jline.lang.nodes.Station: Sets the patience distribution for a specific job class at this station.
setPatience(Distribution) - Method in class jline.lang.JobClass: Sets the global patience distribution for this job class.
setPenaltyWeight(double) - Method in class jline.opt.solver.LineOptSolverOptions
setPhase(int) - Method in class jline.lang.layered.Activity: Set the phase number for this activity.
setPi0(Matrix) - Method in class jline.solvers.ctmc.ResultCTMC
setPollingK(int) - Method in class jline.lang.nodes.Queue: Sets the K value for K-LIMITED polling (only valid for POLLING scheduling strategy with K-LIMITED type).
setPollingK(int) - Method in class jline.lang.sections.PollingServer: Sets the K value for K-LIMITED polling.
setPollingServerClassName(DocumentSectionPair, int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
setPollingType(PollingType) - Method in class jline.lang.nodes.Queue: Sets the polling type for this queue (only valid for POLLING scheduling strategy).
setPollingType(PollingType) - Method in class jline.lang.sections.PollingServer: Sets the polling type for this polling server.
setPollingType(PollingType, int) - Method in class jline.lang.nodes.Queue: Sets the polling type for this queue with K value for K-LIMITED (only valid for POLLING scheduling strategy).
setPollingType(PollingType, int) - Method in class jline.lang.sections.PollingServer: Sets the polling type for this polling server with K value for K-LIMITED.
setPopsize(int) - Method in class jline.opt.solver.LineOptSolverOptions
setPopulation(double) - Method in class jline.lang.ClosedClass: Sets the population size for this closed class.
setPopulationRange(double[]) - Method in class jline.gen.LayeredNetworkGenerator
setPriority(int) - Method in class jline.lang.JobClass: Sets the priority level for this job class.
setPriority(int) - Method in class jline.lang.layered.Task
setProb(double) - Method in class jline.lang.Event: Sets the fixed probability value for this event.
setProb(double) - Method in class jline.lang.ModeEvent
setProbabilities(double[]) - Method in class jline.gen.Cluster: Configures probabilistic dispatching with per-server probabilities (broadcast to all classes).
setProbabilities(double[][]) - Method in class jline.gen.Cluster: Configures probabilistic dispatching with per-class, per-server probabilities.
setProbability(double) - Method in class jline.lang.OutputStrategy
setProbFun(SerializableFunction<Pair<Map<Node, Matrix>, Map<Node, Matrix>>, Double>) - Method in class jline.lang.Event: Sets the probability function to dynamically compute event probability based on system state.
setProbRouting(JobClass, Node, double) - Method in class jline.lang.nodes.Cache: Sets probabilistic routing for a job class to a destination node.
setProbRouting(JobClass, Node, double) - Method in class jline.lang.nodes.ClassSwitch
setProbRouting(JobClass, Node, double) - Method in class jline.lang.nodes.Node: Sets probabilistic routing for a job class to a specific destination.
setProcess(Map<Integer, Matrix>) - Method in class jline.lang.processes.Det: Sets the matrix representation of this deterministic process.
setProcess(MatrixCell) - Method in class jline.lang.processes.Markovian: Sets the matrix representation of this Markovian process.
setProcInfProbability(double) - Method in class jline.gen.LayeredNetworkGenerator
setProcMultiRange(double[]) - Method in class jline.gen.LayeredNetworkGenerator
setQuantum(double) - Method in class jline.lang.layered.Host
setQueueLength(String, String, double) - Method in class jline.opt.results.EvaluationResult
setR(int) - Method in class jline.api.qsys.RetrialInfo
setRandomNumbersMatlab(boolean) - Static method in class jline.util.Maths
setRate(double) - Method in class jline.lang.constant.ServerType: Sets the per-server rate of this pool.
setRate(double) - Method in class jline.lang.processes.Markovian: Sets the rate of this Markovian distribution by scaling the process.
setRead(JobClass, Distribution) - Method in class jline.lang.nodes.Cache
setReadItemEntry(JobClass, Distribution, int) - Method in class jline.lang.nodes.Cache: Sets the read policy for a job class with explicit item cardinality.
setRecombination(double) - Method in class jline.opt.solver.LineOptSolverOptions
setRef(int) - Method in class jline.solvers.env.SolverENV
setReferenceClass(boolean) - Method in class jline.lang.JobClass: Sets whether this job class is a reference class within its chain.
setReferenceStation(Station) - Method in class jline.lang.JobClass: Sets the reference station for this job class.
setReferenceStation(Station) - Method in class jline.lang.OpenClass: Sets the reference station for this open class.
setRemovalDistribution(DiscreteDistribution) - Method in class jline.lang.ClosedSignal: Sets the removal distribution for this negative signal.
setRemovalDistribution(DiscreteDistribution) - Method in class jline.lang.OpenSignal: Sets the removal distribution for this negative signal.
setRemovalDistribution(DiscreteDistribution) - Method in class jline.lang.Signal: Sets the removal distribution for this negative signal.
setRemovalPolicy(RemovalPolicy) - Method in class jline.lang.ClosedSignal: Sets the removal policy for this negative signal.
setRemovalPolicy(RemovalPolicy) - Method in class jline.lang.OpenSignal: Sets the removal policy for this negative signal.
setRemovalPolicy(RemovalPolicy) - Method in class jline.lang.Signal: Sets the removal policy for this negative signal.
setRepairResetPolicy(String, String) - Method in class jline.lang.Environment: Sets a named reset policy for queue lengths when a node is repaired.
setRepairResetPolicy(String, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment: Sets the reset policy for queue lengths when a node is repaired.
setRepairResetPolicy(Node, String) - Method in class jline.lang.Environment: Sets a named reset policy for queue lengths when a node is repaired.
setRepairResetPolicy(Node, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment: Sets the reset policy for queue lengths when a node is repaired.
setReplacestrategy(ReplacementStrategy) - Method in class jline.lang.layered.CacheTask
setReplication(int) - Method in class jline.lang.layered.Host
setReplication(int) - Method in class jline.lang.layered.Task
setReplications(int) - Method in class jline.solvers.ldes.LDESOptions: Sets the number of independent replications to run.
setReplyEntry(List<Entry>) - Method in class jline.lang.layered.Task
setReplySignalClassIndex(int) - Method in class jline.lang.JobClass: Sets the reply signal class index for synchronous call semantics.
setRequired(JobClass, double) - Method in class jline.lang.nodes.Join
setRequired(JobClass, double) - Method in class jline.lang.sections.Joiner
setResolveChildrenByName(boolean) - Method in class jline.io.WfCommonsOptions: Set whether a child or parent reference that matches no task id is looked up among the task names.
setResponseTime(String, String, double) - Method in class jline.opt.results.EvaluationResult
setRestUrl(String) - Method in class jline.solvers.ldes.LDESOptions: Sets the LDES REST server that will run the simulation.
setResultDelayedHitProb(Matrix) - Method in class jline.lang.nodes.Cache: Sets the delayed-hit fraction per class (retrieval system).
setResultDelayedHitQLen(Matrix, Matrix) - Method in class jline.lang.nodes.Cache: Sets the per-item delayed-hit queue length: the mean number of secondary requests waiting on the in-flight fetch of each item (d1), and the same count including the request that triggered the fetch (dfull).
setResultHitProb(Matrix) - Method in class jline.lang.nodes.Cache
setResultHitProbList(Matrix) - Method in class jline.lang.nodes.Cache: Sets the per-class, per-list (per-level) hit fraction matrix [classes x lists]; rows sum to the aggregate hit fraction.
setResultItemProb(Matrix) - Method in class jline.lang.nodes.Cache: Sets the per-item occupancy matrix [items x (lists+1)]; column 0 = miss, columns 1..
setResultListCost(Matrix) - Method in class jline.lang.nodes.Cache: Sets the mean storage cost held by each list, as computed by a solver.
setResultMissProb(Matrix) - Method in class jline.lang.nodes.Cache: Sets the actual miss probabilities from simulation or analysis results.
setResultResidT(Matrix) - Method in class jline.lang.nodes.Cache: Sets the actual expected latency from simulation or analysis results.
setRetrial(boolean) - Method in class jline.api.qsys.RetrialInfo
setRetrial(JobClass, Distribution) - Method in class jline.lang.nodes.Station: Sets the retrial configuration with unlimited retry attempts.
setRetrial(JobClass, Distribution, int) - Method in class jline.lang.nodes.Station: Sets the retrial configuration for a specific job class at this station.
setRetrial(Distribution) - Method in class jline.lang.JobClass: Sets the global retrial configuration with unlimited retry attempts.
setRetrial(Distribution, int) - Method in class jline.lang.JobClass: Sets the global retrial configuration for this job class.
setRetrieval() - Method in class jline.lang.layered.CacheTask
setRetrieval(boolean) - Method in class jline.lang.layered.CacheTask: Enable a retrieval system with delayed-hit coalescing on the cache miss path.
setRetrievalClass(JobClass, JobClass, int) - Method in class jline.lang.nodes.Cache: Sets the output class for jobs that experience a cache miss and need to be retrieved
setRetrievalSystem(JobClass, JobClass, Queue[]) - Method in class jline.lang.nodes.Cache
setReward(String, RewardFunction) - Method in class jline.lang.Network: Define a reward function for CTMC reward computation.
setRight(U) - Method in class jline.util.Pair
setRouting(JobClass, RoutingStrategy) - Method in class jline.lang.nodes.Node: Sets the routing strategy for a specific job class.
setRouting(JobClass, RoutingStrategy, Object) - Method in class jline.lang.nodes.Node: Sets a routing strategy taking a single parameter, twin of the MATLAB setRouting(class, strategy, par1) call.
setRouting(JobClass, RoutingStrategy, Node, double) - Method in class jline.lang.nodes.Node: Sets the routing strategy with destination and probability for a job class.
setRouting(Network) - Method in class jline.lang.RoutingMatrix
setRoutingStrat(String) - Method in class jline.gen.NetworkGenerator
setRoutingStrategy(RoutingStrategy) - Method in class jline.lang.OutputStrategy
setRow(int, Matrix) - Method in class jline.util.matrix.Matrix: Sets the specified row to the values in the given vector.
setRows(int, int, Matrix) - Method in class jline.util.matrix.Matrix: Sets multiple rows starting from row index i0 to i1 (exclusive) using values from another matrix.
setScale(double) - Method in class jline.io.LQN2UML.Options
setScale(double) - Method in class jline.io.tikz.SequenceDiagramOptions
setScenarioAggregation(String) - Method in class jline.opt.solver.LineOptSolverOptions
setSchedPolicy(SchedStrategyType) - Method in class jline.lang.nodes.Router: Sets the scheduling policy type for this router.
setSchedStrat(String) - Method in class jline.gen.NetworkGenerator
setSchedStrategy(JobClass, SchedStrategy) - Method in class jline.lang.nodes.Place
setSchedStrategyPar(JobClass, double) - Method in class jline.lang.nodes.Queue: Sets the scheduling strategy parameter for a specific job class.
setScheduling(int, SchedStrategy) - Method in class jline.lang.nodes.Cache: Sets the scheduling strategy for a job class.
setScheduling(SchedStrategy) - Method in class jline.gen.Cluster: Sets the scheduling discipline used at every server.
setScheduling(SchedStrategy) - Method in class jline.lang.layered.Host
setScheduling(SchedStrategy) - Method in class jline.lang.layered.Task
setSecond(B) - Method in class jline.util.Triple
setSeed(int) - Method in class jline.solvers.wrappers.jmt.SolverJMT
setSeed(int) - Static method in class jline.util.ThreadLocalRandom: Deprecated.

Sets the seed for the current thread's random number generator.
setSeed(long) - Method in class jline.gen.LayeredNetworkGenerator: Reseeds this generator's internal random source for reproducible generation.
setSeed(long) - Method in class jline.gen.NetworkGenerator: Reseeds this generator's internal random source for reproducible generation.
setSeed(long) - Method in class jline.opt.solver.LineOptSolverOptions
setSens(Ret.pfqnSens) - Method in class jline.solvers.NetworkSensitivityTable: Sets the raw differentiated-MVA result.
setServerIdx(int) - Method in class jline.lang.NetworkAttribute
setServerParallelism(JobClass, int) - Method in class jline.lang.nodes.Queue: Sets the number of servers that a job of the given class seizes for the whole of its service, JMT's job parallelism (Server.serverNumRequired).
setService(JobClass, Object, double) - Method in class jline.lang.nodes.ServiceStation
setService(JobClass, ServerType, Distribution) - Method in class jline.lang.nodes.Queue: Sets the service time distribution for a specific job class and server type.
setService(JobClass, Distribution) - Method in class jline.lang.nodes.Place: Assigns a service process to a token color, turning this ordinary place into a queueing place.
setService(JobClass, Distribution) - Method in class jline.lang.nodes.Router: Sets the service distribution for a specific job class.
setService(JobClass, Distribution) - Method in class jline.lang.nodes.ServiceNode
setService(JobClass, Distribution) - Method in class jline.lang.nodes.ServiceStation
setService(JobClass, Distribution, double) - Method in class jline.lang.nodes.ServiceNode
setService(JobClass, Distribution, double) - Method in class jline.lang.nodes.ServiceStation
setService(SerializableFunction<Matrix, Double>) - Method in class jline.lang.nodes.Queue: Sets the total service rate function mu(c) of a pass-and-swap (PAS) queue.
setServiceProcess(ServiceBinding) - Method in class jline.lang.sections.InputSection
setServiceProcess(ServiceBinding) - Method in class jline.lang.sections.RandomSource
setServiceProcesses(ServiceBinding) - Method in class jline.lang.sections.ServiceSection
setServiceRate(double) - Method in class jline.gen.Cluster: Single service rate, broadcast across all (server, class) pairs.
setServiceRateFunction(SerializableFunction<Matrix, Double>) - Method in class jline.lang.nodes.Queue: Sets the total service rate function mu(c) of a pass-and-swap (PAS) queue.
setServiceRates(double[][]) - Method in class jline.gen.Cluster: Per-(server, class) service rates as a (numStations x R) matrix.
setServiceSCV(double) - Method in class jline.gen.Cluster: Sets the squared coefficient of variation of the service distribution for every (server, class) pair (broadcast).
setServiceSCV(double[][]) - Method in class jline.gen.Cluster: Per-(server, class) service SCV.
setSetupTime(double) - Method in class jline.lang.layered.FunctionTask: Deprecated.
setSetupTime(double) - Method in class jline.lang.layered.SetupTask
setSetupTime(double) - Method in class jline.lang.layered.Task: Set the setup time using a mean value (creates exponential distribution).
setSetupTime(Distribution) - Method in class jline.lang.layered.FunctionTask: Deprecated.
setSetupTime(Distribution) - Method in class jline.lang.layered.SetupTask
setSetupTime(Distribution) - Method in class jline.lang.layered.Task: Set the setup time (cold start time) for the task.
setShowCallMeans(boolean) - Method in class jline.io.LQN2UML.Options
setShowCallMeans(boolean) - Method in class jline.io.tikz.SequenceDiagramOptions
setShowEntryNames(boolean) - Method in class jline.io.LQN2UML.Options
setShowEntryNames(boolean) - Method in class jline.io.tikz.SequenceDiagramOptions
setShowHostDemand(boolean) - Method in class jline.io.tikz.SequenceDiagramOptions
setShowNodeNames(boolean) - Method in class jline.io.tikz.TikZOptions
setShowProcessorFrames(boolean) - Method in class jline.io.LQN2UML.Options
setShowProcessorFrames(boolean) - Method in class jline.io.tikz.SequenceDiagramOptions
setShowReplies(boolean) - Method in class jline.io.LQN2UML.Options
setShowReplies(boolean) - Method in class jline.io.tikz.SequenceDiagramOptions
setShowRoutingProb(boolean) - Method in class jline.io.tikz.TikZOptions
setShowScheduling(boolean) - Method in class jline.io.tikz.TikZOptions
setShowServerCount(boolean) - Method in class jline.io.tikz.TikZOptions
setSignalType(SignalType) - Method in class jline.lang.ClosedSignal: Sets the signal type for this signal class.
setSignalType(SignalType) - Method in class jline.lang.OpenSignal: Sets the signal type for this signal class.
setSignalType(SignalType) - Method in class jline.lang.Signal: Sets the signal type for this signal class.
setSimConfInt(double) - Method in class jline.solvers.wrappers.jmt.SolverJMT
setSimMaxRelErr(double) - Method in class jline.solvers.wrappers.jmt.SolverJMT
setSimulationTimeoutSeconds(long) - Method in class jline.solvers.wrappers.jmt.SolverJMT
setSize(int) - Method in class jline.lang.sections.Buffer
setSize(int) - Method in class jline.lang.sections.Storage
setSlice(int, int, int, int, Matrix) - Method in class jline.util.matrix.Matrix: Returns a new matrix representing the updated slice after assigning values from newSlice.
setSliceEq(int, int, int, int, Matrix) - Method in class jline.util.matrix.Matrix: Sets the values of a submatrix (in-place) using the specified newSlice matrix.
setSlotLength(double) - Method in class jline.solvers.ldes.LDESOptions: Sets the slot length and enables slotted mode.
setSlotted(boolean) - Method in class jline.solvers.ldes.LDESOptions: Enables or disables discrete-time (slotted) simulation.
setSMPMethod(boolean) - Method in class jline.solvers.env.SolverENV
setSn(NetworkStruct) - Method in class jline.lang.Network
setSolverOptions(LineOptSolverOptions) - Method in class jline.opt.decomposition.DecompositionWorkflow
setSourceIdx(int) - Method in class jline.api.qsys.RetrialInfo
setSourceIdx(int) - Method in class jline.lang.NetworkAttribute
setSpawnClassIndex(int) - Method in class jline.lang.JobClass: Sets the spawn class index (1-based).
setSpectralLowFreqFrac(double) - Method in class jline.solvers.ldes.LDESOptions: Sets the fraction of lowest frequencies for spectral log-periodogram regression.
setSpeedFactor(double) - Method in class jline.lang.layered.Host
setSQ(int) - Method in class jline.gen.Cluster: Configures power-of-K-choices dispatching: pick the best of k randomly chosen servers.
setSqD(int) - Method in class jline.lang.OutputStrategy
setSQParams(JobClass, int) - Method in class jline.lang.sections.OutputSection: Stores SQ routing parameters (k and memory flag) for the given class.
setSQRouting(JobClass, int) - Method in class jline.lang.nodes.Node: Configures power-of-K-choices routing for a job class.
setStartTime(boolean) - Method in class jline.lang.nodes.Logger
setState(int) - Method in class jline.lang.nodes.StatefulNode
setState(SolverLN.LNState) - Method in class jline.solvers.ln.SolverLN: Import solution state for continuation.
setState(Matrix) - Method in class jline.lang.Event: Sets the system state matrix for this event.
setState(Matrix) - Method in class jline.lang.ModeEvent
setState(Matrix) - Method in class jline.lang.nodes.Node: Sets the state of this node.
setState(Matrix) - Method in class jline.lang.nodes.StatefulNode
setStateDepMethod(String) - Method in class jline.solvers.env.SolverENV
setStateDepRouting(JobClass, Node, List<List<Node>>, int[], double[], double[][]) - Method in class jline.lang.nodes.Node: Declares this node the entry center e of a subnetwork Q(V,V) served by the product-form state-dependent routing of Krzesinski (1987), "Multiclass Queueing Networks with State-Dependent Routing", Performance Evaluation 7(2):125-143.
setStatePrior(Matrix) - Method in class jline.lang.nodes.StatefulNode
setStateSpace(Matrix) - Method in class jline.lang.nodes.StatefulNode
setStateSpace(Matrix) - Method in class jline.lang.processes.MarkovChain: Set the state space
setStateSpace(Matrix) - Method in class jline.lang.processes.MarkovProcess: Set the state space
setStationIdx(int) - Method in class jline.api.qsys.RetrialInfo
setStationIdx(int) - Method in class jline.lang.nodes.Node: Sets the index of this node in the network's station collection.
setStationMetrics(NetworkStruct, Cache_retrieval_inputs.Inputs, double[][], double[], Matrix, Matrix, Matrix, Matrix) - Static method in class jline.solvers.nc.analyzers.Solver_nc_retrieval_analyzer: Shared station-metric population (QN=UN=phi_s, TN=fetch throughput, RN=Little).
setStationName(String) - Method in class jline.lang.Metric
setStationNames(List<String>) - Method in class jline.solvers.LayeredNetworkSensitivityTable: Sets the station names, one per row.
setStationNames(List<String>) - Method in class jline.solvers.NetworkAvgChainTable
setStationNames(List<String>) - Method in class jline.solvers.NetworkAvgOrbitTable
setStationNames(List<String>) - Method in class jline.solvers.NetworkAvgTable: Sets the list of station names.
setStationNames(List<String>) - Method in class jline.solvers.NetworkBoundsTable: Sets the station names, one per row.
setStationNames(List<String>) - Method in class jline.solvers.NetworkLossTable
setStationNames(List<String>) - Method in class jline.solvers.NetworkMomentChainTable: Sets the station names, one per row.
setStationNames(List<String>) - Method in class jline.solvers.NetworkMomentStationTable: Sets the station names, one per row.
setStationNames(List<String>) - Method in class jline.solvers.NetworkMomentTable: Sets the station names, one per row.
setStationNames(List<String>) - Method in class jline.solvers.NetworkPercTable
setStationNames(List<String>) - Method in class jline.solvers.NetworkSensitivityTable: Sets the station names, one per row.
setStationServers(int[]) - Method in class jline.gen.Cluster: Sets the number of servers per station (default: all 1).
setStopCondition(StepStopCondition) - Method in class odesolver.LSODA: A test consulted after every accepted step, ending the integration when it returns true.
setStoreMetadata(boolean) - Method in class jline.io.WfCommonsOptions: Set whether to store WfCommons metadata in activities.
setStrategy(String) - Method in class jline.opt.solver.LineOptSolverOptions
setStrategy(JobClass, JoinStrategy) - Method in class jline.lang.nodes.Join
setStrategy(JobClass, JoinStrategy) - Method in class jline.lang.sections.Joiner
setStrategyParam(JobClass, double) - Method in class jline.lang.nodes.Station: Sets the scheduling-strategy parameter (e.g.
setStruct(NetworkStruct) - Method in class jline.lang.Network
setStruct(NetworkStruct) - Method in class jline.solvers.mva.SolverMVA: Sets the network structure for this solver.
setStruct(NetworkStruct) - Method in class jline.solvers.nc.SolverNC
setSub(Matrix, int[], int[], Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Assigns src into dst at rows ri, cols ci.
setSubMatrix(Matrix, int, int, Matrix) - Static method in class jline.lib.fjcodes.FjCodesUtils: Copy source into target starting at the given (0-based) row/column position.
setSubMatrix(Matrix, int, int, Matrix) - Static method in class jline.lib.fjcodes.FJUtils: Copy a submatrix into a target matrix at specified position.
setSwapGraph(Matrix) - Method in class jline.lang.nodes.Queue: Sets the class compatibility/swap graph of a pass-and-swap (PAS) queue.
setSwitchover(JobClass, JobClass, Distribution) - Method in class jline.lang.nodes.Queue: Sets the switchover time from one job class to another (for general scheduling strategies).
setSwitchover(JobClass, Distribution) - Method in class jline.lang.nodes.Queue: Sets the switchover time for a job class (only valid for POLLING scheduling strategy).
setSwitchover(JobClass, Distribution) - Method in class jline.lang.sections.PollingServer: Sets the switchover time for a job class.
setSwitchoverTime(JobClass, JobClass, Distribution) - Method in class jline.lang.nodes.Station: Sets the switchover time from one job class to another.
setSyncCallMeans(double) - Method in class jline.lang.layered.Activity
setSyncCallMeans(Matrix) - Method in class jline.lang.layered.Activity
setSynchCallRange(double[]) - Method in class jline.gen.LayeredNetworkGenerator
setT(double) - Method in class jline.lang.Event: Sets the time when this event occurred.
setT(double) - Method in class jline.lang.ModeEvent
setT(double[]) - Method in class jline.inference.lang.SampledMetric
setTagRates(Map<Integer, Matrix>, Map<Integer, Matrix>) - Method in class jline.solvers.ssa.SSAValues: Attach the derived START/PREEMPT rates measured over the sampled path.
setTagRates(Matrix, Matrix) - Method in class jline.solvers.ssa.handlers.SolverSSAResultNRM
setTaskInfProbability(double) - Method in class jline.gen.LayeredNetworkGenerator
setTaskMultiRange(double[]) - Method in class jline.gen.LayeredNetworkGenerator
setTasksPerLink(int) - Method in class jline.lang.nodes.Fork: Sets the number of tasks sent out on each outgoing link.
setTasksPerLink(JobClass, double) - Method in class jline.lang.nodes.Fork: Sets the tasks per link for one class only, leaving every other class on the node-wide value.
setTasksPerLinkDistribution(JobClass, DiscreteSampler) - Method in class jline.lang.nodes.Fork: Makes the number of tasks emitted on each outgoing link RANDOM.
setTasksPerLinkDistribution(JobClass, DiscreteSampler, Node) - Method in class jline.lang.nodes.Fork: Makes the number of tasks emitted on ONE outgoing link random.
setter - Variable in class jline.solvers.ctmc.SolverCTMC.SensitivityParameter: Applies theta to a model
setThinkTime(double) - Method in class jline.lang.layered.Activity
setThinkTime(double) - Method in class jline.lang.layered.FunctionTask: Deprecated.
setThinkTime(double) - Method in class jline.lang.layered.SetupTask
setThinkTime(double) - Method in class jline.lang.layered.Task
setThinkTime(Distribution) - Method in class jline.lang.layered.Activity
setThinkTime(Distribution) - Method in class jline.lang.layered.FunctionTask: Deprecated.
setThinkTime(Distribution) - Method in class jline.lang.layered.SetupTask
setThinkTime(Distribution) - Method in class jline.lang.layered.Task
setThinkTimeRange(double[]) - Method in class jline.gen.LayeredNetworkGenerator
setThird(C) - Method in class jline.util.Triple
setThreadPool(ExecutorService) - Method in class jline.solvers.ssa.SolverSSA
setThroughput(String, String, double) - Method in class jline.opt.results.EvaluationResult
setTimeAnyClass(boolean) - Method in class jline.lang.nodes.Logger
setTimeLimit(double) - Method in class jline.opt.solver.LineOptSolverOptions
setTimeoutSeconds(int) - Method in class jline.api.sym.SageRestEngine: Sets the per-request timeout.
setTimeSameClass(boolean) - Method in class jline.lang.nodes.Logger
setTimestamp(boolean) - Method in class jline.lang.nodes.Logger
setTimingStrategy(Mode, TimingStrategy) - Method in class jline.lang.nodes.Transition
setTo(Matrix) - Method in class jline.lang.ClassSwitchMatrix
setTo(Matrix) - Method in class jline.util.matrix.Matrix: Copies the data from another matrix into this matrix.
setTolerance(double) - Method in class jline.opt.solver.LineOptSolverOptions
setToNaN() - Method in class jline.util.matrix.Matrix: Sets all elements of the matrix to NaN.
setTopologyFcn(Function<Integer, Matrix>) - Method in class jline.gen.NetworkGenerator
setTrace() - Method in class jline.inference.lang.SampledMetric: Switch the data format to trace (per-request).
setTranAvgResults(Matrix[][], Matrix[][], Matrix[][], Matrix[][], Matrix[][], Matrix[][], double) - Method in class jline.solvers.NetworkSolver: Stores computed transient average metrics.
setTranfilter(String) - Method in class jline.solvers.ldes.LDESOptions: Sets the transient filter method.
setTranHandles(SolverTranHandles) - Method in class jline.solvers.fluid.SolverFluid: Enhanced method to set transient handles with validation
setTranHandles(SolverTranHandles) - Method in class jline.solvers.NetworkSolver: Sets the transient performance metric handles.
setTranobs(int) - Method in class jline.solvers.ldes.LDESOptions: Sets the number of equally spaced transient observation points.
setTranProb(Matrix, Matrix, Matrix, double) - Method in class jline.solvers.NetworkSolver: Stores transient probability distributions.
setTrue(String) - Method in class jline.lang.FeatureSet: Sets a single feature to true in the feature set.
setTrue(String[]) - Method in class jline.lang.FeatureSet: Sets multiple features to true in the feature set.
setType(String) - Method in class jline.lang.layered.Entry: Sets the type of this entry.
setUnderlineObjectNames(boolean) - Method in class jline.io.tikz.SequenceDiagramOptions
setup - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
SetupTask - Class in jline.lang.layered: SetupTask is a Task whose servers are switched off while idle.
SetupTask(LayeredNetwork, String) - Constructor for class jline.lang.layered.SetupTask: Constructor with default multiplicity and scheduling.
SetupTask(LayeredNetwork, String, int) - Constructor for class jline.lang.layered.SetupTask: Constructor with default scheduling strategy (FCFS).
SetupTask(LayeredNetwork, String, int, SchedStrategy) - Constructor for class jline.lang.layered.SetupTask: Constructor for SetupTask.
setuptime - Variable in class jline.lang.layered.LayeredNetworkStruct: Deprecated.
setupTime - Variable in class jline.lang.layered.Task
setupTime - Variable in class jline.lang.nodeparam.QueueNodeParam: Setup (cold-start) time distributions by job class.
setuptime_mean - Variable in class jline.lang.layered.LayeredNetworkStruct
setuptime_params - Variable in class jline.lang.layered.LayeredNetworkStruct
setuptime_proc - Variable in class jline.lang.layered.LayeredNetworkStruct
setuptime_scv - Variable in class jline.lang.layered.LayeredNetworkStruct
setuptime_type - Variable in class jline.lang.layered.LayeredNetworkStruct
setupTimeMean - Variable in class jline.lang.layered.Task
setupTimes - Variable in class jline.lang.nodes.Queue: Per-class setup time distributions (server activation time).
setupTimeSCV - Variable in class jline.lang.layered.Task
setUsedFeatures(String) - Method in class jline.lang.layered.LayeredNetwork: Set a language feature as used
setUsedLangFeature(String) - Method in class jline.lang.Network
setUseExecutionData(boolean) - Method in class jline.io.WfCommonsOptions: Set whether to use execution data if available.
setVarClosure(boolean[]) - Method in class jline.solvers.fluid.handlers.MatrixMethodODE: Turns on the variance-carrying saturation term and declares which states belong to INF stations, which carry no min() to close at all.
setVerbose(boolean) - Method in class jline.opt.solver.LineOptSolverOptions
setVerbose(VerboseLevel) - Static method in class jline.GlobalConstants: Sets the verbosity level for solver output.
setVersion(String) - Method in class jline.lang.Model: Sets the LINE version for this model.
setVisits(JobClass, Station, double) - Method in class jline.lang.Chain: Sets the number of visits that a job in this chain makes to a station in a specific class.
setWarmupfrac(double) - Method in class jline.solvers.ldes.LDESOptions: Sets the warmup fraction for fixed transient filter.
setWeight(double) - Method in class jline.lang.ModeEvent
setWeights(int[]) - Method in class jline.gen.Cluster: Configures weighted round-robin dispatching with per-server integer weights.
sEye(int, Complex) - Static method in class jline.api.mam.TransientQbd
sf - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld: Per-level service factor sf(n), sf[n-1] holding level n.
SFIFO - Enum constant in enum jline.lang.constant.ReplacementStrategy
sgmmConvolve(Matrix, Matrix) - Static method in class jline.util.GMMUtils: Convolves two simplified GMMs (sum of independent random variables).
sgmmE1(Matrix) - Static method in class jline.util.GMMUtils: Calculates the first moment (E[X]) of a simplified GMM.
sgmmE2(Matrix) - Static method in class jline.util.GMMUtils: Calculates the second moment (E[X²]) of a simplified GMM.
sgmmMean(Matrix) - Static method in class jline.util.GMMUtils: Calculates the mean of a simplified GMM directly from matrix representation.
sgmmMixture(Matrix, Matrix, double, double) - Static method in class jline.util.GMMUtils: Creates a mixture of two simplified GMMs.
sgmmRand(Matrix, int) - Static method in class jline.util.GMMUtils: Generates random samples from a simplified GMM representation.
sgmmStd(Matrix) - Static method in class jline.util.GMMUtils: Calculates the standard deviation of a simplified GMM.
sgmmVar(Matrix) - Static method in class jline.util.GMMUtils: Calculates the variance of a simplified GMM.
sgn - Variable in class jline.api.pfqn.nc.Pfqn_explicit.SignedLse: Sign of S, zero when every term dropped out.
shallowCopy() - Method in class jline.lang.NetworkStruct: Field-by-field shallow copy of this struct.
shape - Variable in class jline.api.qsys.QsysServiceLaw: Gamma shape alpha.
shape - Variable in class jline.io.Ret.pfqnOifnc
share - Variable in class jline.api.lqn.Lqn_mol.Result: Entry share of its task's invocations.
shareClosure(Matrix, Matrix, Matrix, boolean) - Static method in class jline.solvers.fluid.moments.FluidClosures: The share closure without the joint-closure covariance.
shareClosure(Matrix, Matrix, Matrix, boolean, boolean) - Static method in class jline.solvers.fluid.moments.FluidClosures: Second-order closure of the capacity share of a sharing discipline, mirroring MATLAB fluid_share_closure.
SharedServer - Class in jline.lang.sections: A server shared by multiple jobs simultaneously
SharedServer(List<JobClass>) - Constructor for class jline.lang.sections.SharedServer: Creates a new shared server section for the specified customer classes.
ShareResult(Matrix, Matrix) - Constructor for class jline.solvers.fluid.moments.FluidClosures.ShareResult
ShareResult(Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.solvers.fluid.moments.FluidClosures.ShareResult
ShiftedGeometricGen(RandomStream, double) - Constructor for class jline.solvers.ldes.handlers.Solver_ssj.ShiftedGeometricGen
shiftRange(int, int) - Static method in class jline.lib.butools.mam.FluidTools: start..start+n-1.
show() - Method in class jline.io.ModelVisualizer: Displays the graph in a JFrame window with default settings.
show(String) - Method in class jline.io.ModelVisualizer: Displays the graph with a custom title.
show(String, int, int) - Method in class jline.io.ModelVisualizer: Displays the graph with custom title and dimensions.
show(String, int, int, boolean) - Method in class jline.io.ModelVisualizer: Displays the graph with custom title, dimensions, and toolbar visibility.
showLibraryAttribution(NetworkStruct, SolverOptions) - Method in class jline.solvers.NetworkSolver: Prints the library attribution once per session, honouring the verbosity.
showWithLayout(Layout<ModelVisualizer.ModelVertex, ModelVisualizer.ModelEdge>, String, int, int, boolean) - Method in class jline.io.ModelVisualizer: Displays the graph using the specified layout with optional toolbars.
shrinkNumCols(int) - Method in class jline.util.matrix.BaseMatrix: Reduce the maximum number of columns by setting the internal column count.
shrinkNumCols(int) - Method in class jline.util.matrix.DenseMatrix
shrinkNumCols(int) - Method in class jline.util.matrix.Matrix
shrinkNumCols(int) - Method in class jline.util.matrix.SparseMatrix: Reduce the maximum number of columns by setting the internal column count.
shrinkNumRows(int) - Method in class jline.util.matrix.BaseMatrix: Reduce the maximum number of rows by setting the internal row count.
shrinkNumRows(int) - Method in class jline.util.matrix.DenseMatrix
shrinkNumRows(int) - Method in class jline.util.matrix.Matrix
shrinkNumRows(int) - Method in class jline.util.matrix.SparseMatrix: Reduce the maximum number of rows by setting the internal row count.
shuffle(int[]) - Method in class jline.opt.solver.de.NumpyRandomState: numpy shuffle: in-place Fisher-Yates using random_interval.
shutdown() - Method in class jline.streaming.Collector: Shutdown the collector and release resources.
shutdown() - Method in class jline.streaming.HttpMetricsClient: Shutdown the client.
shutdown() - Method in class jline.streaming.OtlpMetricsClient: Shutdown the client gracefully.
sIdcFun - Variable in class jline.api.npfqn.Npfqn_traffic_idc
sigma - Variable in class jline.api.lti.WeeksParams: Exponential damping applied before the expansion.
sigma - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: The vector sigma of eq.
sigma - Variable in class jline.api.qsys.QsysMapG1kResult: Stationary law of the embedded chain, 1 x K*M.
sigma - Variable in class jline.api.qsys.QsysTvFluidResult: Service completion rate mu(t)B(t).
sigma - Variable in class jline.solvers.fluid.moments.FluidLyapunov.Result
Sigma - Variable in class jline.solvers.fluid.petri.PetriSolver.PetriReport
Sigma - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
sigma2 - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Per-station population variance.
sigma2 - Variable in class jline.solvers.fluid.analyzers.MinNormalAnalyzer: Per-station population variance.
sigma2Drift - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: The same variance as it enters the DRIFT: zero where nothing is closed.
sigma2Drift - Variable in class jline.solvers.fluid.analyzers.MinNormalAnalyzer: The same variance as it enters the DRIFT: zero at the delay stations, which have no min() to close.
sigmaMatrix - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: State-level stationary covariance at the converged fixed point.
sigmaMatrix - Variable in class jline.solvers.fluid.analyzers.MinNormalAnalyzer: State-level stationary covariance at the converged fixed point.
sigmat - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Transient state covariance, one matrix per reported time.
Sigmat - Variable in class jline.solvers.fluid.FluidResult: Full state covariance Sigma(t) of the "kp" method, one dim-by-dim matrix per time point, so cross-station and cross-class covariances survive rather than only the per-block totals in FluidResult.QVart.
Signal - Class in jline.lang: A signal placeholder class that automatically resolves to OpenSignal or ClosedSignal.
Signal(Network, String, SignalType) - Constructor for class jline.lang.Signal: Creates a new signal placeholder with the specified type and default priority (0).
Signal(Network, String, SignalType, int) - Constructor for class jline.lang.Signal: Creates a new signal placeholder with the specified type and priority.
Signal(Network, String, SignalType, int, DiscreteDistribution, RemovalPolicy) - Constructor for class jline.lang.Signal: Creates a new signal placeholder with full configuration for batch removal.
signalBatchPMF(NetworkStruct, int, int) - Static method in class jline.lang.state.SignalRemoval: Batch-size distribution of the jobs removed by a signal class when ntot eligible jobs are present.
signalLossyClasses(NetworkStruct, double[]) - Static method in class jline.solvers.ctmc.handlers.CtmcSignalLossy
signalremdist - Variable in class jline.lang.NetworkStruct
SignalRemoval - Class in jline.lang.state: Passive arrival of a G-network signal class at a station.
SignalRemoval() - Constructor for class jline.lang.state.SignalRemoval
signalrempolicy - Variable in class jline.lang.NetworkStruct
signaltarget - Variable in class jline.lang.NetworkStruct
signaltype - Variable in class jline.lang.NetworkStruct
SignalType - Enum in jline.lang.constant: Enumeration of signal types for signal classes in queueing networks.
signedLogSumExp(double[], double[]) - Static method in class jline.api.pfqn.nc.Pfqn_explicit: Signed log-sum-exp of S = sum_i s_i exp(l_i).
SignedLse(double, int, double) - Constructor for class jline.api.pfqn.nc.Pfqn_explicit.SignedLse
SILENT - Enum constant in enum jline.VerboseLevel: No output during solver execution
sim_asymvar_ctmc(Matrix, double[]) - Static method in class jline.api.sim.SimRunlength: Asymptotic variance of a reward on a CTMC: 2 sum_x pi(x)g(x)d(x) with g = f - E_pi[f] and A d = -g.
sim_asymvar_mm1(double, double) - Static method in class jline.api.sim.SimRunlength: Asymptotic variance of the M/M/1 number-in-system process.
sim_firquest(double[][], double) - Static method in class jline.api.sim.Sim_firquest: Runs FIRQUEST at nominal 95% coverage with the default constants.
sim_firquest(double[][], double, double) - Static method in class jline.api.sim.Sim_firquest: Runs FIRQUEST with the default constants.
sim_firquest(double[][], double, double, QuestOptions) - Static method in class jline.api.sim.Sim_firquest: Runs FIRQUEST.
Sim_firquest - Class in jline.api.sim: Fixed-sample-size quantile interval from independent replications, FIRQUEST.
sim_fquest(double[], double) - Static method in class jline.api.sim.Sim_fquest: Runs FQUEST at nominal 95% coverage with the default constants.
sim_fquest(double[], double, double) - Static method in class jline.api.sim.Sim_fquest: Runs FQUEST with the default constants.
sim_fquest(double[], double, double, QuestOptions) - Static method in class jline.api.sim.Sim_fquest: Runs FQUEST.
Sim_fquest - Class in jline.api.sim: Fixed-sample-size confidence interval for a steady-state quantile, FQUEST.
sim_runlength(double, double, double, double, double) - Static method in class jline.api.sim.SimRunlength: Run length for a steady-state estimate of a given relative precision.
sim_runlength_plan(Matrix, Matrix, double, double, double) - Static method in class jline.api.sim.SimRunlength: How long a simulation run should have been, from the one it already did.
sim_shapirowilk(double[]) - Static method in class jline.api.sim.Sim_shapirowilk: Tests a sample for normality at the 5% level.
sim_shapirowilk(double[], double) - Static method in class jline.api.sim.Sim_shapirowilk: Tests a sample for normality.
Sim_shapirowilk - Class in jline.api.sim: Shapiro-Wilk test for univariate normality, Royston's AS R94 algorithm.
sim_sts_quantile_areas(double[], int, int, double) - Static method in class jline.api.sim.Sim_sts_quantile_areas: Computes the STS statistics with the default weight function.
sim_sts_quantile_areas(double[], int, int, double, double) - Static method in class jline.api.sim.Sim_sts_quantile_areas: Computes the STS statistics.
Sim_sts_quantile_areas - Class in jline.api.sim: Standardized time series areas of the batched quantile process.
sim_vonneumann(double[]) - Static method in class jline.api.sim.Sim_vonneumann: Tests a sequence for randomness at the 5% level.
sim_vonneumann(double[], double) - Static method in class jline.api.sim.Sim_vonneumann: Tests a sequence for randomness.
Sim_vonneumann - Class in jline.api.sim: Von Neumann ratio test for randomness of a sequence.
SimDist - Class in jline.api.sim: Normal and Student t quantiles used by the output-analysis routines.
simDoc - Variable in class jline.io.DocumentSectionPair
simDoc - Variable in class jline.io.ElementDocumentPair
simElem - Variable in class jline.io.ElementDocumentPair
similarityMatrix(Matrix, Matrix) - Static method in class jline.lib.butools.reptrans.SimilarityMatrix: Returns the matrix that transforms A1 to A2.
SimilarityMatrix - Class in jline.lib.butools.reptrans
SimilarityMatrixForVectors - Class in jline.lib.butools
SimilarityMatrixForVectors(Matrix, Matrix) - Static method in class jline.lib.butools.SimilarityMatrixForVectors
simple_retrieval_system_model() - Static method in class jline.examples.java.basic.DelayedHitsExamples: Creates a caching model with a simple retrieval system, where there is only one queue in the retrieval system.
simple_retrieval_system_model(double[], double[], String, SchedStrategy) - Static method in class jline.examples.java.basic.CacheRetrievalSystemModel: Cache model with a single retrieval queue.
simple_retrieval_system_model(double[], double[], String, SchedStrategy, ReplacementStrategy) - Static method in class jline.examples.java.basic.CacheRetrievalSystemModel
simpleHitMiss(int, int) - Method in class jline.lang.sections.CacheClassSwitcher
simpleHitMiss(int, int, Matrix) - Method in class jline.lang.sections.CacheClassSwitcher
simpleHitMiss(int, int, Matrix, Matrix) - Method in class jline.lang.sections.CacheClassSwitcher
SimpleLQNBenchmark - Class in jline.bench.lqn: Simplified LQN benchmark implementation
SimpleLQNBenchmark() - Constructor for class jline.bench.lqn.SimpleLQNBenchmark
SimpleLQNBenchmark.BenchmarkSolverFactory - Class in jline.bench.lqn: Custom solver factory for LQN benchmarks
simplex_fun(double[], Matrix, Matrix) - Static method in class jline.util.Maths: Computes a specialized function used in simplex-based optimization algorithms.
simplex_logfun(double[], Matrix, Matrix) - Static method in class jline.util.Maths: Log-domain form of Maths.simplex_fun(double[], jline.util.matrix.Matrix, jline.util.matrix.Matrix): returns the exponent, i.e.
simplexquad(Function<double[], Double>, int, int, double) - Static method in class jline.util.Maths
simplexQuadResult(double, double[], int) - Constructor for class jline.util.Maths.simplexQuadResult
simplify(List<String>, String) - Method in class jline.api.sym.SageRestEngine
simplify(List<String>, String) - Method in interface jline.api.sym.SymEngine: Rewrites expressions into a normal form.
SimRunlength - Class in jline.api.sim: Run-length planning for steady-state simulation.
SIMULATION_SOLVERS - Static variable in class jline.unified.UnifiedTestRunner
SIMULATION_TOL - Static variable in class jline.unified.UnifiedTestRunner
SingleClassCountStats - Class in jline.api.trace
SingleClassCountStats(double, double, double, double, int[]) - Constructor for class jline.api.trace.SingleClassCountStats
singleClassOpenReason(NetworkStruct, String) - Static method in class jline.solvers.mva.SolverMVA: Refusal reason for RQNA and RQT, empty when the method may run.
singleReplicaTasks - Variable in class jline.solvers.ln.SolverLN
singleton(double) - Static method in class jline.util.matrix.Matrix: Creates a 1×1 matrix containing a single scalar value.
Sink - Class in jline.lang.nodes: An abstraction of the external world jobs in open classes depart to
Sink - Enum constant in enum jline.lang.constant.NodeType: Sink node - removes completed jobs from the network
Sink(Network, String) - Constructor for class jline.lang.nodes.Sink: Creates a new sink node where jobs in open classes depart from the network.
SINK - Enum constant in enum jline.io.ModelVisualizer.NodeType
sinkIdx - Variable in class jline.api.fj.FJInfo
sir - Variable in class jline.lang.state.State.StateMarginalStatistics
SIRO - Enum constant in enum jline.lang.constant.SchedStrategy: Service In Random Order - jobs selected randomly from queue
size - Variable in class jline.lang.sections.Buffer
size - Variable in class jline.lang.sections.Enabling
size - Variable in class jline.lang.sections.Storage
size() - Method in class jline.lang.Ensemble: Gets the number of network models in this ensemble.
size() - Method in class jline.lang.reward.TabulatedRewardFunction: Gets the number of tabulated states.
size() - Method in class jline.util.matrix.MatrixCell: Returns the number of matrices currently stored in this MatrixCell.
size() - Method in class jline.util.PrecomputedTableFunction: Gets the number of pre-computed values stored.
SJF - Enum constant in enum jline.lang.constant.SchedStrategy: Shortest Job First - jobs with smallest service requirement served first
sjn_lattice_max - Variable in class jline.solvers.SolverOptions.Config: Lattice size above which the shortest-job-next dispatch prefers the Schweitzer fixed point over the population recursion, under method 'default'.
sjn_lfactor - Variable in class jline.solvers.SolverOptions.Config: Grid extent at a shortest-job-next station, in units of the largest mean service time.
sjn_ns - Variable in class jline.solvers.SolverOptions.Config: Number of grid subdivisions of the job size axis at a shortest-job-next station, even.
sjn_umax - Variable in class jline.solvers.SolverOptions.Config: Utilization cap at a shortest-job-next station, strictly below one.
SjnOptions - Class in jline.api.pfqn.mva: Options shared by Pfqn_mvasjn and Pfqn_amvasjn.
SjnOptions() - Constructor for class jline.api.pfqn.mva.SjnOptions
SjnStarvationException - Exception in jline.api.pfqn.mva
SjnStarvationException(String) - Constructor for exception jline.api.pfqn.mva.SjnStarvationException
sjrnT() - Method in class jline.solvers.fluid.SolverFluid: Get sojourn time CDF.
Skew - Variable in class jline.io.Ret.pfqnSensLinearizer
Skew - Variable in class jline.io.Ret.pfqnSensMom
Skew - Variable in class jline.solvers.NetworkMomentStationResult: M x 1, skewness of Q_i; NaN where the variance vanishes.
skewness - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
skewness() - Method in class jline.lang.processes.Coxian: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.Det: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.Distribution: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.Erlang: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.Exp: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.Gamma: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.HyperExp: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.Lognormal: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.Markovian: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.Pareto: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.PH: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.Uniform: Property alias for getSkewness
skewness() - Method in class jline.lang.processes.Weibull: Property alias for getSkewness
skipped - Variable in class jline.unified.TestResults
slot - Variable in class jline.lang.state.ReplyBlock.Info: slot[r] is the 0-based index of class r inside the local-variable vector, -1 when absent.
slot(int, int) - Static method in class jline.io.Ret.FJApprox: Slot key for serviceSrc / immediateSlots.
slotlength - Variable in class jline.solvers.SolverOptions.Config: Slot length in model time units, used when SolverOptions.Config.slotted is true; null keeps unit slots.
slotLength - Variable in class jline.api.sn.SnIsDiscreteTime.Result
slotLength - Variable in class jline.solvers.ldes.LDESOptions: Length of one slot in model time units.
slotted - Variable in class jline.solvers.ldes.LDESOptions: Runs the simulation on a discrete time scale: every sampled interval must fall on the lattice {slotLength, 2*slotLength, ...}, events within one slot boundary are ordered by a fixed phase (completions, then internal routing, then external arrivals, then bookkeeping), and the warmup and time-horizon cuts are snapped to slot boundaries.
slotted - Variable in class jline.solvers.SolverOptions.Config: Run the solver on a discrete time scale (slot lattice) rather than on the continuous time axis.
Smat - Variable in class jline.lib.qmam.MAPMAP1Result
Smat - Variable in class jline.lib.qmam.MAPMcResult
Smat - Variable in class jline.lib.qmam.MMAPKPHK1Result
smoothing - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
smp_passage_lst(Matrix, List<UnaryOperator<Complex>>, Matrix, int[], Complex) - Static method in class jline.api.mc.Smp_passage_lst
Smp_passage_lst - Class in jline.api.mc: Laplace-Stieltjes transform of the first passage time into a target state set for a SEMI-MARKOV chain.
smp_passage_moments(Matrix, Matrix, Matrix, int[], int) - Static method in class jline.api.mc.Smp_passage_moments
Smp_passage_moments - Class in jline.api.mc: Moments of order 1..nmax of the first passage time into a target state set for a SEMI-MARKOV chain with embedded transition matrix P.
smp_passage_time(Matrix, List<UnaryOperator<Complex>>, Matrix, int[], double[]) - Static method in class jline.api.mc.Smp_passage_time
smp_passage_time(Matrix, List<UnaryOperator<Complex>>, Matrix, int[], double[], String) - Static method in class jline.api.mc.Smp_passage_time
Smp_passage_time - Class in jline.api.mc: Cumulative distribution and density of the SEMI-MARKOV first passage time, by inverting Smp_passage_lst through jline.api.lti.
sn - Variable in class jline.api.mc.CtmcSsgReachabilityResult
sn - Variable in class jline.io.Ret.afterEventHashedOrAddResult
sn - Variable in class jline.io.Ret.getHashOrAddResult
sn - Variable in class jline.io.Ret.reachableSpaceGeneratorResult
sn - Variable in class jline.lang.state.State.spaceGeneratorNodesResult
sn - Variable in class jline.lang.state.State.StateSpaceGeneratorResult
sn - Variable in class jline.solvers.fj.FJFixedPoint.FJOutcome
sn - Variable in class jline.solvers.ldes.LDESResult: Network structure used for the analysis
sn - Variable in class jline.solvers.mva.handlers.MVARunner
sn - Variable in class jline.solvers.NetworkSolver: Internal data structure describing the network model
sn - Variable in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.SolverSSAResultNRMSpace
sn - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
sn - Variable in class jline.solvers.ssa.SSAResult: Network structure used for the analysis
sn - Variable in class jline.solvers.ssa.SSAValues
SN - Variable in class jline.solvers.LayeredSolverResult: Mean service time [tasks x 1]
sn_build_fj_sync_map(NetworkStruct) - Static method in class jline.api.sn.SnBuildFjSyncMap
sn_gd_balance(Function<double[], double[]>, int[]) - Static method in class jline.api.sn.SnGdBalance: Worst relative violation of the balance property over the given lattice.
sn_has_srpt(NetworkStruct) - Static method in class jline.api.sn.SnHasSrpt
sn_set_service_coc(NetworkStruct, int, int, double) - Static method in class jline.inference.api.Sn_set_service_coc
sn_set_service_coc(NetworkStruct, int, int, double, double) - Static method in class jline.inference.api.Sn_set_service_coc: Update service rate in NetworkStruct preserving Map-based format.
Sn_set_service_coc - Class in jline.inference.api
snArrivalRateFun(NetworkStruct, int, int) - Static method in class jline.api.sn.SnArrivalRateFun: Build lambda(t) for station ist, class r.
SnArrivalRateFun - Class in jline.api.sn: The arrival rate of a station-class pair AS A FUNCTION OF TIME.
SnArrivalRateFun.RateFun - Class in jline.api.sn: lambda(t), with whether it actually varies and the cycle length.
SnBuildFjSyncMap - Class in jline.api.sn: Builds a fork-join synchronization map from LINE's sn structure.
SnBuildFjSyncMap.FjSyncMap - Class in jline.api.sn: Result of the fork-join synchronization scan.
snc_bound_backlog(SncEnvelope, SncEnvelope, double) - Static method in class jline.api.snc.Snc_bound_backlog
snc_bound_backlog(SncEnvelope, SncEnvelope, double, double) - Static method in class jline.api.snc.Snc_bound_backlog
Snc_bound_backlog - Class in jline.api.snc: Violation probability of a backlog level.
snc_bound_delay(SncEnvelope, SncEnvelope, double) - Static method in class jline.api.snc.Snc_bound_delay
snc_bound_delay(SncEnvelope, SncEnvelope, double, double) - Static method in class jline.api.snc.Snc_bound_delay
Snc_bound_delay - Class in jline.api.snc: Violation probability of a delay target.
snc_conv(double, double, double, double, double) - Static method in class jline.api.snc.Snc_conv
snc_conv(double, double, double, double, double, double) - Static method in class jline.api.snc.Snc_conv
Snc_conv - Class in jline.api.snc: Min-plus convolution of two service envelopes (tandem concatenation).
snc_delay_quantile() - Static method in class jline.examples.java.advanced.NetworkCalculusExample: The quantile, how it tightens deep in the tail, and the loose mean.
snc_env_cpoisson(double, double, double) - Static method in class jline.api.snc.Snc_env_cpoisson
Snc_env_cpoisson - Class in jline.api.snc: MGF arrival envelope of a compound Poisson flow with Exp job sizes.
snc_env_map(Matrix, Matrix, double) - Static method in class jline.api.snc.Snc_env_map
Snc_env_map - Class in jline.api.snc: MGF arrival envelope of a MAP/MMPP flow with unit-size jobs.
snc_env_poisson(double, double) - Static method in class jline.api.snc.Snc_env_poisson
Snc_env_poisson - Class in jline.api.snc: MGF arrival envelope of a Poisson flow with unit-size jobs.
snc_env_tokenbucket(double, double) - Static method in class jline.api.snc.Snc_env_tokenbucket
snc_env_tokenbucket(double, double, double) - Static method in class jline.api.snc.Snc_env_tokenbucket
Snc_env_tokenbucket - Class in jline.api.snc: Deterministic token-bucket arrival envelope.
snc_leftover(double, double, double, double) - Static method in class jline.api.snc.Snc_leftover
Snc_leftover - Class in jline.api.snc: Leftover service envelope under blind (arbitrary) multiplexing.
snc_mean_backlog(SncEnvelope, SncEnvelope) - Static method in class jline.api.snc.Snc_mean_backlog
snc_mean_backlog(SncEnvelope, SncEnvelope, double) - Static method in class jline.api.snc.Snc_mean_backlog
Snc_mean_backlog - Class in jline.api.snc: Upper bound on the mean backlog, from integrating the backlog tail bound.
snc_mean_delay(SncEnvelope, SncEnvelope) - Static method in class jline.api.snc.Snc_mean_delay
snc_mean_delay(SncEnvelope, SncEnvelope, double) - Static method in class jline.api.snc.Snc_mean_delay
Snc_mean_delay - Class in jline.api.snc: Upper bound on the mean delay, from integrating the delay tail bound.
snc_output(double, double, double, double, double) - Static method in class jline.api.snc.Snc_output
Snc_output - Class in jline.api.snc: Output (departure) arrival envelope of a flow leaving a server.
snc_perc_backlog(SncEnvelope, SncEnvelope, double) - Static method in class jline.api.snc.Snc_perc_backlog
snc_perc_backlog(SncEnvelope, SncEnvelope, double, double) - Static method in class jline.api.snc.Snc_perc_backlog
Snc_perc_backlog - Class in jline.api.snc: Backlog quantile at a prescribed violation probability.
snc_perc_delay(SncEnvelope, SncEnvelope, double) - Static method in class jline.api.snc.Snc_perc_delay
snc_perc_delay(SncEnvelope, SncEnvelope, double, double) - Static method in class jline.api.snc.Snc_perc_delay
Snc_perc_delay - Class in jline.api.snc: Delay quantile at a prescribed violation probability.
snc_srv_exp(double, double) - Static method in class jline.api.snc.Snc_srv_exp
Snc_srv_exp - Class in jline.api.snc: MGF service envelope of an exponential server, in JOB units.
snc_srv_rate(double) - Static method in class jline.api.snc.Snc_srv_rate
snc_srv_rate(double, double) - Static method in class jline.api.snc.Snc_srv_rate
Snc_srv_rate - Class in jline.api.snc: MGF service envelope of a constant-rate work-conserving server.
snc_tandem_multiclass() - Static method in class jline.examples.java.advanced.NetworkCalculusExample: Envelope propagation, pay-bursts-only-once, and blind multiplexing.
snc_thetaopt(DoubleUnaryOperator) - Static method in class jline.api.snc.Snc_thetaopt
snc_thetaopt(DoubleUnaryOperator, double) - Static method in class jline.api.snc.Snc_thetaopt
Snc_thetaopt - Class in jline.api.snc: Minimizes a Chernoff bound over the free parameter theta.
SncEnvelope - Interface in jline.api.snc: An MGF envelope evaluated at a Chernoff parameter.
snCompatPeak(double[], double[]) - Static method in class jline.api.sn.SnCompatRate
snCompatRate(Matrix, double[], double[], double[]) - Static method in class jline.api.sn.SnCompatRate: Rate cleared by the pools when the operands in n are present.
SnCompatRate - Class in jline.api.sn: Total service rate of a station served by heterogeneous server pools with a class-compatibility graph, and the peak that normalizes its utilization.
SnCompatRate() - Constructor for class jline.api.sn.SnCompatRate
snCompatScaling(Matrix, double[], double[], double[]) - Static method in class jline.api.sn.SnCompatRate: Rate scaling eta(n) a compatibility declaration imposes on its station.
sncopy - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
SncResult - Class in jline.api.snc: The value of a Chernoff bound together with the theta that attains it.
SncResult(double, double) - Constructor for class jline.api.snc.SncResult
snDeaggregateChainResults(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.snDeaggregateChainResults
snDeaggregateChainResults(NetworkStruct, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.sn.SnDeaggregateChainResults: Calculate class-based performance metrics for a queueing network based on performance measures of its chains.
SnDeaggregateChainResults - Class in jline.api.sn
snFinal - Variable in class jline.solvers.fluid.FluidResult: Modified network structure after phase-type expansion (if applied)
snFjVisitsSpn(NetworkStruct) - Static method in class jline.api.sn.SnFjVisitsSpn: Compute fork-join node visit ratios via auxiliary SPN models.
SnFjVisitsSpn - Class in jline.api.sn
SnGdBalance - Class in jline.api.sn: Whittle balance check for a globally state-dependent rate scaling.
snGetArvRFromTput(NetworkStruct, Matrix, AvgHandle) - Static method in class jline.api.sn.SnGetArvRFromTput: Calculates the average arrival rates at each station from the network throughputs.
SnGetArvRFromTput - Class in jline.api.sn
snGetBufferSize(NetworkStruct, int) - Static method in class jline.api.sn.SnGetBufferSize
SnGetBufferSize - Class in jline.api.sn: Physical buffer size of a station, in jobs, the one in service included.
snGetDemands(Matrix, Matrix) - Constructor for class jline.io.Ret.snGetDemands
snGetDemands(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.snGetDemands
snGetDemands(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.snGetDemands
snGetDemandsChain(NetworkStruct) - Static method in class jline.api.sn.SnGetDemandsChain: Calculate new queueing network parameters after aggregating classes into chains.
SnGetDemandsChain - Class in jline.api.sn
snGetForkFanout(NetworkStruct, int) - Static method in class jline.api.sn.SnSetForkFanout: Gets the current fork fanout for a Fork node.
snGetNodeArvRFromTput(NetworkStruct, Matrix, AvgHandle, Matrix) - Static method in class jline.api.sn.SnGetNodeArvRFromTput
SnGetNodeArvRFromTput - Class in jline.api.sn
snGetNodeTputFromTput(NetworkStruct, Matrix, AvgHandle, Matrix) - Static method in class jline.api.sn.SnGetNodeTputFromTput
SnGetNodeTputFromTput - Class in jline.api.sn
snGetProductFormChainParams(NetworkStruct) - Static method in class jline.api.sn.SnGetProductFormChainParams: Calculate the parameters at class and chain level for a queueing network model.
SnGetProductFormChainParams - Class in jline.api.sn
snGetProductFormParams() - Constructor for class jline.io.Ret.snGetProductFormParams
snGetProductFormParams(NetworkStruct) - Static method in class jline.api.sn.SnGetProductFormParams: Calculate the parameters at class level for a queueing network model.
SnGetProductFormParams - Class in jline.api.sn
snGetResidTFromRespT(NetworkStruct, Matrix, AvgHandle) - Static method in class jline.api.sn.SnGetResidTFromRespT: Calculates the residence times at each station from the response times.
SnGetResidTFromRespT - Class in jline.api.sn
snGetStateAggr(NetworkStruct) - Static method in class jline.api.sn.SnGetStateAggr: Aggregates the state of the network.
SnGetStateAggr - Class in jline.api.sn
snHasBlocking(NetworkStruct) - Static method in class jline.api.sn.SnHasBlocking
SnHasBlocking - Class in jline.api.sn: Finite-buffer blocking or loss anywhere in the network.
snHasBurstyArrival(NetworkStruct) - Static method in class jline.api.sn.SnHasBurstyArrival
SnHasBurstyArrival - Class in jline.api.sn: Detects whether a network has a bursty (non-renewal) external arrival process.
snHasClassdepRouting(NetworkStruct) - Static method in class jline.api.sn.SnHasClassdepRouting: Checks whether the classes of the network are routed differently.
SnHasClassdepRouting - Class in jline.api.sn: Detects routing that is not identical across job classes.
snHasClassSwitching(NetworkStruct) - Static method in class jline.api.sn.SnHasClassSwitching: Checks if the network uses class-switching
SnHasClassSwitching - Class in jline.api.sn
snHasClosedClasses(NetworkStruct) - Static method in class jline.api.sn.SnHasClosedClasses: Checks if the network has one or more closed classes
SnHasClosedClasses - Class in jline.api.sn
snHasDPS(NetworkStruct) - Static method in class jline.api.sn.SnHasDPS
SnHasDPS - Class in jline.api.sn
snHasDPSPRIO(NetworkStruct) - Static method in class jline.api.sn.SnHasDPSPRIO
SnHasDPSPRIO - Class in jline.api.sn
snHasFCFS(NetworkStruct) - Static method in class jline.api.sn.SnHasFCFS
SnHasFCFS - Class in jline.api.sn
snHasForkJoin(NetworkStruct) - Static method in class jline.api.sn.SnHasForkJoin: Checks if the network uses fork and/or join nodes
SnHasForkJoin - Class in jline.api.sn
snHasFractionalPopulations(NetworkStruct) - Static method in class jline.api.sn.SnHasFractionalPopulations: Checks if the network has closed classes with non-integer populations
SnHasFractionalPopulations - Class in jline.api.sn
snHasGPS(NetworkStruct) - Static method in class jline.api.sn.SnHasGPS
SnHasGPS - Class in jline.api.sn
snHasGPSPRIO(NetworkStruct) - Static method in class jline.api.sn.SnHasGPSPRIO
SnHasGPSPRIO - Class in jline.api.sn
snHasHOL(NetworkStruct) - Static method in class jline.api.sn.SnHasHOL
SnHasHOL - Class in jline.api.sn
snHasHomogeneousScheduling(NetworkStruct, SchedStrategy) - Static method in class jline.api.sn.SnHasHomogeneousScheduling: Checks if the network uses an identical scheduling strategy at every station
SnHasHomogeneousScheduling - Class in jline.api.sn
snHasImmfeed(NetworkStruct) - Static method in class jline.api.sn.SnHasImmfeed: Whether immediate feedback is EFFECTIVE anywhere in the model.
SnHasImmfeed - Class in jline.api.sn
snHasINF(NetworkStruct) - Static method in class jline.api.sn.SnHasINF
SnHasINF - Class in jline.api.sn
snHasLCFS(NetworkStruct) - Static method in class jline.api.sn.SnHasLCFS
SnHasLCFS - Class in jline.api.sn
snHasLCFSPI(NetworkStruct) - Static method in class jline.api.sn.SnHasLCFSPI
SnHasLCFSPI - Class in jline.api.sn
snHasLCFSPR(NetworkStruct) - Static method in class jline.api.sn.SnHasLCFSPR
SnHasLCFSPR - Class in jline.api.sn
snHasLEPT(NetworkStruct) - Static method in class jline.api.sn.SnHasLEPT
SnHasLEPT - Class in jline.api.sn
snHasLJF(NetworkStruct) - Static method in class jline.api.sn.SnHasLJF
SnHasLJF - Class in jline.api.sn
snHasLoadDependence(NetworkStruct) - Static method in class jline.api.sn.SnHasLoadDependence: Checks if the network has a station with load-dependent service process
SnHasLoadDependence - Class in jline.api.sn
snHasMixedClasses(NetworkStruct) - Static method in class jline.api.sn.SnHasMixedClasses: Checks if the network has both open and closed classes
SnHasMixedClasses - Class in jline.api.sn
snHasMultiChain(NetworkStruct) - Static method in class jline.api.sn.SnHasMultiChain
SnHasMultiChain - Class in jline.api.sn
snHasMultiClass(NetworkStruct) - Static method in class jline.api.sn.SnHasMultiClass
SnHasMultiClass - Class in jline.api.sn
snHasMultiClassFCFS(NetworkStruct) - Static method in class jline.api.sn.SnHasMultiClassFCFS
SnHasMultiClassFCFS - Class in jline.api.sn
snHasMultiClassHeterExpFCFS(NetworkStruct) - Static method in class jline.api.sn.SnHasMultiClassHeterExpFCFS: Checks if the network has one or more stations with multiclass heterogeneous FCFS and exponential service.
SnHasMultiClassHeterExpFCFS - Class in jline.api.sn
snHasMultiClassHeterFCFS(NetworkStruct) - Static method in class jline.api.sn.SnHasMultiClassHeterFCFS: Checks if the network has one or more stations with multiclass heterogeneous FCFS.
SnHasMultiClassHeterFCFS - Class in jline.api.sn
snHasMultipleClosedClasses(NetworkStruct) - Static method in class jline.api.sn.SnHasMultipleClosedClasses: Checks if the network has one or more closed classes
SnHasMultipleClosedClasses - Class in jline.api.sn
snHasMultiServer(NetworkStruct) - Static method in class jline.api.sn.SnHasMultiServer
SnHasMultiServer - Class in jline.api.sn
snHasOpenClasses(NetworkStruct) - Static method in class jline.api.sn.SnHasOpenClasses: Checks if the network has one or more open classes
SnHasOpenClasses - Class in jline.api.sn
snHasPolling(NetworkStruct) - Static method in class jline.api.sn.SnHasPolling
SnHasPolling - Class in jline.api.sn
snHasPriorities(NetworkStruct) - Static method in class jline.api.sn.SnHasPriorities: Checks if the network uses class priorities
SnHasPriorities - Class in jline.api.sn
snHasProductForm(NetworkStruct) - Static method in class jline.api.sn.SnHasProductForm: Checks if the network has a known product-form solution.
SnHasProductForm - Class in jline.api.sn
snHasProductFormExceptMultiClassHeterExpFCFS(NetworkStruct) - Static method in class jline.api.sn.SnHasProductFormExceptMultiClassHeterExpFCFS: Checks if the network satisfies product-form assumptions except multiclass heterogeneous FCFS
SnHasProductFormExceptMultiClassHeterExpFCFS - Class in jline.api.sn: Legacy name of SnHasProductFormNotHetFCFS, kept as a delegating alias exactly as the python twin does: the pre-rework body here still admitted LCFSPR and lacked the FCFS equal-service-means check, so it could disagree with the predicate the AMVA dispatch actually uses.
snHasProductFormNotHetFCFS(NetworkStruct) - Static method in class jline.api.sn.SnHasProductFormNotHetFCFS: Checks if the network satisfies product-form assumptions (does not have heterogeneous FCFS)
snHasProductFormNotHetFCFS(NetworkStruct, boolean) - Static method in class jline.api.sn.SnHasProductFormNotHetFCFS: Checks if the network satisfies product-form assumptions (does not have heterogeneous FCFS)
SnHasProductFormNotHetFCFS - Class in jline.api.sn
snHasPS(NetworkStruct) - Static method in class jline.api.sn.SnHasPS
SnHasPS - Class in jline.api.sn
snHasPSPRIO(NetworkStruct) - Static method in class jline.api.sn.SnHasPSPRIO
SnHasPSPRIO - Class in jline.api.sn
snHasQuorumJoin(NetworkStruct) - Static method in class jline.api.sn.SnHasQuorumJoin: True if some Join node declares a non-standard strategy with a positive required count in some class, i.e.
SnHasQuorumJoin - Class in jline.api.sn: Checks if the network has a quorum (k-of-n) join.
snHasSDRouting(NetworkStruct) - Static method in class jline.api.sn.SnHasSDRouting: Checks if the network has state-dependent routing strategies.
SnHasSDRouting - Class in jline.api.sn
snHasSEPT(NetworkStruct) - Static method in class jline.api.sn.SnHasSEPT
SnHasSEPT - Class in jline.api.sn
snHasSingleChain(NetworkStruct) - Static method in class jline.api.sn.SnHasSingleChain
SnHasSingleChain - Class in jline.api.sn
snHasSingleClass(NetworkStruct) - Static method in class jline.api.sn.SnHasSingleClass
SnHasSingleClass - Class in jline.api.sn
snHasSIRO(NetworkStruct) - Static method in class jline.api.sn.SnHasSIRO
SnHasSIRO - Class in jline.api.sn
snHasSJF(NetworkStruct) - Static method in class jline.api.sn.SnHasSJF
SnHasSJF - Class in jline.api.sn
snHasSjn(NetworkStruct) - Static method in class jline.api.sn.SnHasSjn
SnHasSjn - Class in jline.api.sn: True when some station schedules by non-preemptive shortest job next.
SnHasSrpt - Class in jline.api.sn
snInterlockChain(NetworkStruct, Matrix) - Static method in class jline.api.sn.SnInterlockChain
SnInterlockChain - Class in jline.api.sn: Aggregation of a class-indexed interlock matrix to the chain basis the MVA solvers work in.
snIsClosedModel(NetworkStruct) - Static method in class jline.api.sn.SnIsClosedModel: Checks if the network model is closed.
SnIsClosedModel - Class in jline.api.sn
snIsDiscreteTime(NetworkStruct, SolverOptions) - Static method in class jline.api.sn.SnIsDiscreteTime
SnIsDiscreteTime - Class in jline.api.sn: Decides whether a model lives on a discrete (slotted) time scale.
SnIsDiscreteTime.Result - Class in jline.api.sn: Outcome of the test: the verdict, the slot length and why it failed.
snIsMixedModel(NetworkStruct) - Static method in class jline.api.sn.SnIsMixedModel: Checks if the network is a mixed model.
SnIsMixedModel - Class in jline.api.sn
snIsMm1kLoss(NetworkStruct) - Static method in class jline.api.sn.SnIsMm1kLoss
SnIsMm1kLoss - Class in jline.api.sn: The single-station M/M/1/K loss system.
snIsOpenModel(NetworkStruct) - Static method in class jline.api.sn.SnIsOpenModel: Checks if the network is an open model.
SnIsOpenModel - Class in jline.api.sn: Stochastic network model type classifier for open models.
snIsPhaseType(MatrixCell) - Static method in class jline.api.sn.SnIsPhaseType: Tests a (D0, D1, ...) representation without an entry vector.
snIsPhaseType(MatrixCell, Matrix) - Static method in class jline.api.sn.SnIsPhaseType: Tests a (D0, D1, ...) representation and its entry vector.
SnIsPhaseType - Class in jline.api.sn: Tests whether a process representation admits a phase-type reading.
snIsPopulationModel(NetworkStruct) - Static method in class jline.api.sn.SnIsPopulationModel: Checks if the model is a population model (only specific scheduling strategies without priorities or fork-join)
SnIsPopulationModel - Class in jline.api.sn
snIsStateValid(NetworkStruct) - Static method in class jline.api.sn.SnIsStateValid: Checks if the network state is valid.
SnIsStateValid - Class in jline.api.sn
snJoinDroprate(NetworkStruct, Matrix, Matrix) - Static method in class jline.api.sn.SnJoinDroprate: A Join is the one station where the loss identity ArvR - Tput does NOT hold, because the two rates are in different units: AN counts the SIBLINGS offered to the join (N per parent job) while TN counts the PARENT jobs released by it (one per synchronisation).
SnJoinDroprate - Class in jline.api.sn: Rate at which sibling tasks are discarded at each Join.
snJoinQuorum(NetworkStruct, Node, JobClass, int) - Static method in class jline.api.sn.SnJoinQuorum: A standard join, an absent declaration, a non-positive quorum and a quorum that is not smaller than the sibling count all return nbranches, i.e.
SnJoinQuorum - Class in jline.api.sn: Number of sibling tasks a Join node waits for in a given class.
snJoinSiblings(NetworkStruct, Node) - Static method in class jline.api.sn.SnJoinSiblings: Class-blind form: the widest fork over the classes.
snJoinSiblings(NetworkStruct, Node, int) - Static method in class jline.api.sn.SnJoinSiblings: Siblings are counted at the FORK, as the simulation engines count them.
SnJoinSiblings - Class in jline.api.sn: Number of sibling tasks forked per parent job on a fork-join pair.
snMapModulation(NetworkStruct) - Static method in class jline.api.sn.SnMapModulation
SnMapModulation - Class in jline.api.sn: Collects the (D0,D1) modulation records of every non-renewal arrival or service process declared in the network.
SnMapModulation.MapModulation - Class in jline.api.sn: One modulating process of the network.
SnModifyOptions - Class in jline.api.sn: NetworkStruct modification options (placeholder utility class).
snNonmarkovToPh(NetworkStruct, SolverOptions) - Static method in class jline.api.sn.SnNonmarkovToPh
snNonmarkovToPh(NetworkStruct, SolverOptions, boolean) - Static method in class jline.api.sn.SnNonmarkovToPh
snNonmarkovToPh(NetworkStruct, SolverOptions, boolean, Boolean) - Static method in class jline.api.sn.SnNonmarkovToPh
SnNonmarkovToPh - Class in jline.api.sn
snOpenProbTerms(NetworkStruct, Matrix, Matrix, Matrix, int) - Static method in class jline.api.sn.SnOpenProbTerms: Log-probability contributed by the open classes at one station.
SnOpenProbTerms - Class in jline.api.sn: Open-class contribution to an aggregate state probability at one station.
snOrig - Variable in class jline.solvers.tr.FJTagTransform.Context: The original struct, whose class indices the lifted matrices use.
snPatienceHandles(NetworkStruct, int, int) - Static method in class jline.api.sn.SnPatienceHandles: Build the patience handles of station ist, class r.
SnPatienceHandles - Class in jline.api.sn: Patience (time-to-abandon) handles derived from a NetworkStruct.
SnPatienceHandles.Handles - Class in jline.api.sn: The patience law of one station-class pair, in the forms the solvers consume.
snPnAvgRates(NetworkStruct, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.api.sn.SnPnAvgRates: Rescales the Place rows of TN, AN and RN to tokens, in place.
SnPnAvgRates - Class in jline.api.sn: Place throughput, arrival rate and response time in tokens.
snPnFiringRates(NetworkStruct, Matrix, boolean) - Static method in class jline.api.sn.SnPnFiringRates: Recovers the per-mode firing rates from the Place throughputs.
SnPnFiringRates - Class in jline.api.sn: Recovers per-mode transition firing rates from the Place throughputs.
SnPnFiringRates.Ret - Class in jline.api.sn: Outcome of the recovery.
snPrint(NetworkStruct) - Static method in class jline.api.sn.SnPrint
SnPrint - Class in jline.api.sn
SnPrint.SnprintAlgo - Class in jline.api.sn: Stochastic network Print algorithms.
SnprintAlgo() - Constructor for class jline.api.sn.SnPrint.SnprintAlgo
snPrintRoutingMatrix(NetworkStruct) - Static method in class jline.api.sn.SnPrintRoutingMatrix: Prints the routing matrix of the network for all classes.
snPrintRoutingMatrix(NetworkStruct, String) - Static method in class jline.api.sn.SnPrintRoutingMatrix: Prints the routing matrix of the network, optionally for a specific job class.
SnPrintRoutingMatrix - Class in jline.api.sn
snRefreshAllProcessFields(NetworkStruct) - Static method in class jline.api.sn.SnRefreshProcessFields: Refreshes process fields for all station-class pairs.
snRefreshProcessFields(NetworkStruct, int, int) - Static method in class jline.api.sn.SnRefreshProcessFields: Refreshes process fields for a specific station-class pair based on current rate and SCV.
SnRefreshProcessFields - Class in jline.api.sn
snRefreshVisits(NetworkStruct, Matrix, Matrix, Matrix) - Static method in class jline.api.sn.SnRefreshVisits
SnRefreshVisits - Class in jline.api.sn: Stochastic Network Visit Ratio Calculator.
snRegionMembers(NetworkStruct, int, Matrix, Matrix) - Static method in class jline.api.sn.SnRegionMembers: Station membership mask of finite capacity region f.
SnRegionMembers - Class in jline.api.sn
snRtnodesToRtorig(NetworkStruct) - Static method in class jline.api.sn.SnRtnodesToRtorig: Converts routing matrices from nodes to original format, specifically handling class switching nodes.
SnRtnodesToRtorig - Class in jline.api.sn
snRtStations(NetworkStruct) - Static method in class jline.api.sn.SnRtStations: Station-to-station routing probabilities and per-station visits.
SnRtStations - Class in jline.api.sn
snSetArrival(NetworkStruct, int, double) - Static method in class jline.api.sn.SnSetArrival
snSetArrival(NetworkStruct, int, double, double) - Static method in class jline.api.sn.SnSetArrival
snSetArrival(NetworkStruct, int, double, double, ModifyMode) - Static method in class jline.api.sn.SnSetArrival
snSetArrival(NetworkStruct, int, double, double, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetArrival
snSetArrival(NetworkStruct, int, double, double, ModifyMode, ValidationLevel, boolean) - Static method in class jline.api.sn.SnSetArrival: Sets the arrival rate for a class at the Source station.
SnSetArrival - Class in jline.api.sn
snSetArrivalBatch(NetworkStruct, Matrix) - Static method in class jline.api.sn.SnSetArrival
snSetArrivalBatch(NetworkStruct, Matrix, Matrix) - Static method in class jline.api.sn.SnSetArrival
snSetArrivalBatch(NetworkStruct, Matrix, Matrix, ModifyMode) - Static method in class jline.api.sn.SnSetArrival
snSetArrivalBatch(NetworkStruct, Matrix, Matrix, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetArrival
snSetArrivalBatch(NetworkStruct, Matrix, Matrix, ModifyMode, ValidationLevel, boolean) - Static method in class jline.api.sn.SnSetArrival: Sets arrival rates for multiple classes in a single operation.
snSetForkFanout(NetworkStruct, int, int) - Static method in class jline.api.sn.SnSetForkFanout
snSetForkFanout(NetworkStruct, int, int, ModifyMode) - Static method in class jline.api.sn.SnSetForkFanout
snSetForkFanout(NetworkStruct, int, int, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetForkFanout: Sets the fork fanout (number of tasks per output link) for a Fork node.
SnSetForkFanout - Class in jline.api.sn
snSetForkFanoutBatch(NetworkStruct, Map<Integer, Integer>) - Static method in class jline.api.sn.SnSetForkFanout
snSetForkFanoutBatch(NetworkStruct, Map<Integer, Integer>, ModifyMode) - Static method in class jline.api.sn.SnSetForkFanout
snSetForkFanoutBatch(NetworkStruct, Map<Integer, Integer>, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetForkFanout: Sets fork fanout for multiple Fork nodes in a single operation.
snSetPopulation(NetworkStruct, int, double) - Static method in class jline.api.sn.SnSetPopulation
snSetPopulation(NetworkStruct, int, double, ModifyMode) - Static method in class jline.api.sn.SnSetPopulation
snSetPopulation(NetworkStruct, int, double, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetPopulation
snSetPopulation(NetworkStruct, int, double, ModifyMode, ValidationLevel, boolean) - Static method in class jline.api.sn.SnSetPopulation: Sets the number of jobs for a closed class.
SnSetPopulation - Class in jline.api.sn
snSetPopulationBatch(NetworkStruct, Matrix) - Static method in class jline.api.sn.SnSetPopulation
snSetPopulationBatch(NetworkStruct, Matrix, ModifyMode) - Static method in class jline.api.sn.SnSetPopulation
snSetPopulationBatch(NetworkStruct, Matrix, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetPopulation
snSetPopulationBatch(NetworkStruct, Matrix, ModifyMode, ValidationLevel, boolean) - Static method in class jline.api.sn.SnSetPopulation: Sets populations for multiple classes in a single operation.
snSetPriority(NetworkStruct, int, double) - Static method in class jline.api.sn.SnSetPriority
snSetPriority(NetworkStruct, int, double, ModifyMode) - Static method in class jline.api.sn.SnSetPriority
snSetPriority(NetworkStruct, int, double, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetPriority: Sets the priority for a class.
SnSetPriority - Class in jline.api.sn
snSetPriorityBatch(NetworkStruct, Matrix) - Static method in class jline.api.sn.SnSetPriority
snSetPriorityBatch(NetworkStruct, Matrix, ModifyMode) - Static method in class jline.api.sn.SnSetPriority
snSetPriorityBatch(NetworkStruct, Matrix, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetPriority: Sets priorities for multiple classes in a single operation.
SnSetRouting - Class in jline.api.sn
snSetRoutingMatrix(NetworkStruct, Matrix) - Static method in class jline.api.sn.SnSetRouting
snSetRoutingMatrix(NetworkStruct, Matrix, ModifyMode) - Static method in class jline.api.sn.SnSetRouting
snSetRoutingMatrix(NetworkStruct, Matrix, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetRouting
snSetRoutingMatrix(NetworkStruct, Matrix, ModifyMode, ValidationLevel, boolean) - Static method in class jline.api.sn.SnSetRouting: Sets the entire routing matrix for stateful nodes.
snSetRoutingNodesMatrix(NetworkStruct, Matrix) - Static method in class jline.api.sn.SnSetRouting
snSetRoutingNodesMatrix(NetworkStruct, Matrix, ModifyMode) - Static method in class jline.api.sn.SnSetRouting
snSetRoutingNodesMatrix(NetworkStruct, Matrix, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetRouting
snSetRoutingNodesMatrix(NetworkStruct, Matrix, ModifyMode, ValidationLevel, boolean) - Static method in class jline.api.sn.SnSetRouting: Sets the entire routing matrix for all nodes.
snSetRoutingProb(NetworkStruct, int, int, int, int, double) - Static method in class jline.api.sn.SnSetRouting
snSetRoutingProb(NetworkStruct, int, int, int, int, double, ModifyMode) - Static method in class jline.api.sn.SnSetRouting
snSetRoutingProb(NetworkStruct, int, int, int, int, double, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetRouting
snSetRoutingProb(NetworkStruct, int, int, int, int, double, ModifyMode, ValidationLevel, boolean) - Static method in class jline.api.sn.SnSetRouting: Sets a routing probability between two stateful node-class pairs.
snSetServers(NetworkStruct, int, double) - Static method in class jline.api.sn.SnSetServers
snSetServers(NetworkStruct, int, double, ModifyMode) - Static method in class jline.api.sn.SnSetServers
snSetServers(NetworkStruct, int, double, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetServers: Sets the number of servers at a station.
SnSetServers - Class in jline.api.sn
snSetServersBatch(NetworkStruct, Matrix) - Static method in class jline.api.sn.SnSetServers
snSetServersBatch(NetworkStruct, Matrix, ModifyMode) - Static method in class jline.api.sn.SnSetServers
snSetServersBatch(NetworkStruct, Matrix, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetServers: Sets the number of servers for multiple stations in a single operation.
snSetService(NetworkStruct, int, int, double) - Static method in class jline.api.sn.SnSetService
snSetService(NetworkStruct, int, int, double, double) - Static method in class jline.api.sn.SnSetService
snSetService(NetworkStruct, int, int, double, double, ModifyMode) - Static method in class jline.api.sn.SnSetService
snSetService(NetworkStruct, int, int, double, double, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetService
snSetService(NetworkStruct, int, int, double, double, ModifyMode, ValidationLevel, boolean) - Static method in class jline.api.sn.SnSetService: Sets the service rate at a specific station and class.
SnSetService - Class in jline.api.sn
snSetServiceBatch(NetworkStruct, Matrix) - Static method in class jline.api.sn.SnSetService
snSetServiceBatch(NetworkStruct, Matrix, Matrix) - Static method in class jline.api.sn.SnSetService
snSetServiceBatch(NetworkStruct, Matrix, Matrix, ModifyMode) - Static method in class jline.api.sn.SnSetService
snSetServiceBatch(NetworkStruct, Matrix, Matrix, ModifyMode, ValidationLevel) - Static method in class jline.api.sn.SnSetService
snSetServiceBatch(NetworkStruct, Matrix, Matrix, ModifyMode, ValidationLevel, boolean) - Static method in class jline.api.sn.SnSetService: Sets service rates for multiple station-class pairs in a single operation.
snToAG(Matrix[][], Matrix, Matrix, List<Ret.ActionMapEntry>, int[]) - Constructor for class jline.io.Ret.snToAG
snToAG(NetworkStruct) - Static method in class jline.api.sn.SnToAG
snToAG(NetworkStruct, int) - Static method in class jline.api.sn.SnToAG
SnToAG - Class in jline.api.sn: Convert LINE network structure to Agent (RCAT) format for SolverAG.
SnToAG.SntoagKt - Class in jline.api.sn: Stochastic network ToAG algorithms.
SntoagKt() - Constructor for class jline.api.sn.SnToAG.SntoagKt
snToQrfAlpha(NetworkStruct) - Static method in class jline.api.sn.SnToQrfAlpha
SnToQrfAlpha - Class in jline.api.sn: Per-station load-dependent rate scaling alpha(i,n) for the QRF bounds.
SnToQrfAlpha.Result - Class in jline.api.sn: The scaling, the utilization normalizer, and why they may not exist.
snToQrfBlocking(NetworkStruct, double) - Static method in class jline.api.sn.SnToQrfBlocking
SnToQrfBlocking - Class in jline.api.sn: Derives the QRF BAS blocking tables (f, MR, BB, MM, ZZ, MM1) from an sn.
SnToQrfBlocking.Result - Class in jline.api.sn: The derived tables, or the reason they cannot be built.
snToQrfCapacity(NetworkStruct) - Static method in class jline.api.sn.SnToQrfCapacity
SnToQrfCapacity - Class in jline.api.sn: Per-station occupancy bound F(i) for the QRF bounds.
SnToQrfCapacity.Result - Class in jline.api.sn: Occupancy bounds, which of them bind, and why not when they cannot be built.
snValidate(NetworkStruct) - Static method in class jline.api.sn.SnValidate
snValidate(NetworkStruct, ValidationLevel) - Static method in class jline.api.sn.SnValidate
SnValidate - Class in jline.api.sn: NetworkStruct Validation Utilities.
snValidateClassIndex(NetworkStruct, int) - Static method in class jline.api.sn.SnValidate
snValidateClassIndex(NetworkStruct, int, String) - Static method in class jline.api.sn.SnValidate
snValidateDimensions(NetworkStruct) - Static method in class jline.api.sn.SnValidate
snValidateNodeIndex(NetworkStruct, int) - Static method in class jline.api.sn.SnValidate
snValidateNodeIndex(NetworkStruct, int, String) - Static method in class jline.api.sn.SnValidate
snValidateNodeType(NetworkStruct, int, NodeType) - Static method in class jline.api.sn.SnValidate
snValidatePopulation(NetworkStruct) - Static method in class jline.api.sn.SnValidate
snValidateRates(NetworkStruct) - Static method in class jline.api.sn.SnValidate
snValidateRouting(NetworkStruct) - Static method in class jline.api.sn.SnValidate
snValidateServers(NetworkStruct) - Static method in class jline.api.sn.SnValidate
snValidateStationIndex(NetworkStruct, int) - Static method in class jline.api.sn.SnValidate
snValidateStationIndex(NetworkStruct, int, String) - Static method in class jline.api.sn.SnValidate
SnValidationException - Exception in jline.api.sn: Exception thrown when validation fails during NetworkStruct modification.
SnValidationException(String) - Constructor for exception jline.api.sn.SnValidationException
SnValidationException(String, List<String>) - Constructor for exception jline.api.sn.SnValidationException
softmin(double, double, double) - Static method in class jline.util.Maths: Softmin function, a smooth approximation of min(x,y).
sojAlpha - Variable in class jline.lib.qmam.MAPMAP1Result
sojAlpha - Variable in class jline.lib.qmam.MMAPKPHK1Result
sojourn - Variable in class jline.api.cache.CacheMissRmfTranResult: Grid-independent average of the transient against a holding-time clock (CacheSojourn), or null when no clock was given.
sojourn - Variable in class jline.solvers.fluid.analyzers.CacheTranResult: Per-cache grid-independent average of the transient against a stage holding time (CacheSojourn), or null when no holding time was given; an entry is null for a cache with no request rate.
sojourn - Variable in class jline.solvers.SolverOptions: Environment sojourn mode for the SolverENV state-vector / mean-field analyzers: null/"stochastic" (default) averages each stage's transient over the random holding-time CDF; "deterministic" evaluates it at the fixed mean stage duration.
sojournHit - Variable in class jline.solvers.fluid.analyzers.CacheTranResult: Per-cache per-class hit probability of the sojourn-averaged occupancy (ncaches x K), or null.
sojournMiss - Variable in class jline.solvers.fluid.analyzers.CacheTranResult: Per-cache per-class miss probability of the sojourn-averaged occupancy (ncaches x K), or null.
SojournResult() - Constructor for class jline.api.mam.Map_m1ps.SojournResult
sojournTimes - Variable in class jline.io.Ret.ctmcSimulation
solout - Variable in class jline.util.ode.Rodas.Options
solution - Variable in class jline.api.mam.QPResult
Solution() - Constructor for class jline.api.lqn.LqnBalanceEquations.Solution
Solution(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.api.lqn.LqnBalanceEquations.Solution
solve() - Method in class jline.lang.processes.MarkovChain: Solve the DTMC for steady-state probabilities.
solve() - Method in class jline.lang.processes.MarkovProcess: Solve the CTMC for steady-state probabilities
solve() - Method in class jline.lib.perm.PermSolver: Measure time and memory usage of the compute method.
solve() - Method in class jline.opt.OptimizationProblem
solve() - Method in class jline.opt.pareto.ParetoSweep
solve() - Method in class jline.opt.solver.BisectionSolver
solve() - Method in class jline.opt.solver.de.DifferentialEvolution
solve() - Method in class jline.opt.solver.LineOptSolver
solve() - Method in class jline.solvers.fluid.petri.PetriSolver: Solve the net.
solve() - Method in class jline.solvers.wrappers.lqns.qnsolver.Solver_qns
solve(double[][][][], int, double[][]) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mem
solve(double[][][][], int, double[][]) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi_ld
solve(double[][][][], int, double[][]) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi_linear
solve(double[][][][], int, double[][], double[][]) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi_ld
solve(double[][][][], int, double[][], double[][]) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi_linear
solve(double[], Matrix[], Matrix[], int[]) - Static method in class jline.api.mapqn.Mapqn_amva
solve(int, int, int[], int, double[][][], double[][][], double[][]) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_bethe: Solve the no-blocking quadratic reduction under the tree-reweighted free entropy.
solve(int, int, int[], int, double[][][], double[][][], double[][]) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi
solve(List<Matrix>, List<Matrix>, List<Matrix>, double[], double[], double[], List<Matrix>, double) - Static method in class jline.lib.butools.mam.SecondOrderLevelDependentFluidSolve
solve(LinearReductionParameters, int, int) - Static method in class jline.api.mapqn.Mapqn_bnd_lr: Create and solve the linear program for bnd_linearreduction_new model.
solve(LinearReductionParameters, int, int) - Static method in class jline.api.mapqn.Mapqn_bnd_qr: Create and solve the linear program for bnd_quadraticreduction model.
solve(LinearReductionParameters, int, int, String) - Static method in class jline.api.mapqn.Mapqn_bnd_lr: As above, optimizing in the requested direction.
solve(LinearReductionParameters, int, int, String) - Static method in class jline.api.mapqn.Mapqn_bnd_qr: As above, optimizing in the requested direction.
solve(Mapqn_bnd_lr_pf.PFParameters) - Static method in class jline.api.mapqn.Mapqn_bnd_lr_pf
solve(Mapqn_bnd_lr_pf.PFParameters, int) - Static method in class jline.api.mapqn.Mapqn_bnd_lr_pf
solve(Mapqn_bnd_lr_pf.PFParameters, int, String) - Static method in class jline.api.mapqn.Mapqn_bnd_lr_pf: Solve the product-form linear-reduction LP, optimizing the utilization of the given queue.
solve(Mapqn_bnd_qr_delay.QuadraticDelayParameters, int, int, int) - Static method in class jline.api.mapqn.Mapqn_bnd_qr_delay
solve(Mapqn_bnd_qr_delay.QuadraticDelayParameters, int, int, int, String) - Static method in class jline.api.mapqn.Mapqn_bnd_qr_delay: As above, optimizing in the requested direction.
solve(Mapqn_bnd_qr_ld.QuadraticLDParameters, int, int, int) - Static method in class jline.api.mapqn.Mapqn_bnd_qr_ld
solve(Mapqn_bnd_qr_ld.QuadraticLDParameters, int, int, int, String) - Static method in class jline.api.mapqn.Mapqn_bnd_qr_ld: As above, optimizing in the requested direction.
solve(Mapqn_nlp_solver.ObjectiveFn, Mapqn_nlp_solver.GradientFn, int, double[][], double[], double[][], double[], double[], double[], double[]) - Static method in class jline.api.mapqn.Mapqn_nlp_solver
solve(Mapqn_nlp_solver.ObjectiveFn, Mapqn_nlp_solver.GradientFn, int, double[][], double[], double[][], double[], double[], double[], double[], int) - Static method in class jline.api.mapqn.Mapqn_nlp_solver: Minimise objective subject to Aeq x = beq, Aub x <= bub and lb <= x <= ub, by sequential quadratic programming in the null space of the equalities.
solve(Mapqn_qr_bounds_bas_parameters, int) - Static method in class jline.api.mapqn.Mapqn_qr_bounds_bas
solve(Mapqn_qr_bounds_bas_parameters, int, String) - Static method in class jline.api.mapqn.Mapqn_qr_bounds_bas
solve(Mapqn_qr_bounds_rsrd_parameters, int) - Static method in class jline.api.mapqn.Mapqn_qr_bounds_rsrd
solve(Mapqn_qr_bounds_rsrd_parameters, int, String) - Static method in class jline.api.mapqn.Mapqn_qr_bounds_rsrd
solve(MVAVersionParameters, int, int) - Static method in class jline.api.mapqn.Mapqn_bnd_lr_mva
solve(MVAVersionParameters, int, int, String) - Static method in class jline.api.mapqn.Mapqn_bnd_lr_mva: As above, optimizing in the requested direction.
solve(MVAVersionParameters, int, int, String, String) - Static method in class jline.api.mapqn.Mapqn_bnd_lr_mva: As above, over a chosen variable family and optionally over the SUM of the levels.
solve(Network, NetworkStruct, SolverOptions) - Method in interface jline.solvers.fj.FJFixedPoint.InnerSolve: Solves the transformed network.
solve(Network, SolverOptions) - Method in interface jline.solvers.tr.TransformSolve.InnerSolve: Solves one subproblem.
solve(NetworkStruct) - Method in interface jline.api.da.Da_cacheqn_retrieval.NetSolve
solve(NetworkStruct, SolverOptions) - Method in interface jline.solvers.mva.handlers.MVASolverHandler
solve(LineOptSolverOptions) - Method in class jline.opt.OptimizationProblem
solve(LineOptSolverOptions) - Method in class jline.opt.pareto.ParetoSweep
solve(MatrixCell, Map<Integer, Matrix>, Map<Integer, Matrix>, Integer, Integer, Integer, Matrix, boolean, boolean, Double, Matrix) - Static method in class jline.lib.butools.MMAPPH1FCFS: Convenience alias for callers that expect a solve(...) entry point on the MMAPPH1FCFS class.
solve(Matrix, Matrix, NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.CtmcStationary: Stationary distribution of Q, seeded from the initial state of sn when that state can be located in stateSpace.
solve(Matrix, Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Solves the sparse linear system Ax = b.
solve(Matrix, Matrix, Matrix, double) - Static method in class jline.solvers.fluid.moments.FluidLyapunov: Solves the Lyapunov equation on the reachable subspace.
solve(Matrix, Matrix, Matrix, Integer, Integer, String, Integer) - Static method in class jline.lib.smc.QBD_CR: Convenience alias for callers that expect a solve(...) entry point on the QBD_CR class.
solve(Matrix, Matrix, Matrix, Integer, Integer, String, Matrix, Integer) - Static method in class jline.lib.smc.QBD_FI: Convenience alias for callers that expect a solve(...) entry point on the QBD_FI class.
solve(Complex[][], Complex[]) - Static method in class jline.util.ComplexOps: Solves A x = b by Gaussian elimination with partial pivoting.
solveBethe(Mapqn_qr_bounds_bas_parameters) - Static method in class jline.api.mapqn.Mapqn_qrf_bas_nlp: Minimise the tree-reweighted (Bethe) free entropy over the BAS polytope.
solveCTMC(String[][], List<String>) - Method in class jline.api.sym.SageRestEngine
solveCTMC(String[][], List<String>) - Method in interface jline.api.sym.SymEngine: Symbolic stationary distribution of a CTMC, pi Q = 0 with sum(pi) = 1.
solveDirect(Matrix, Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Solves the linear system A*x = b directly using LU decomposition without singularity checks.
solveHierarchical() - Method in class jline.opt.decomposition.DecompositionWorkflow
solveLayered() - Method in class jline.opt.decomposition.DecompositionWorkflow: LQN layer-wise decomposition with default settings.
solveLayered(int, double, boolean, double, List<String>) - Method in class jline.opt.decomposition.DecompositionWorkflow: Solve an LQN by layer, optionally freezing converged layers.
solveMem(Mapqn_qr_bounds_bas_parameters) - Static method in class jline.api.mapqn.Mapqn_qrf_bas_nlp: Minimise negative entropy (maximum entropy) over the BAS polytope.
solveMmi(Mapqn_qr_bounds_bas_parameters) - Static method in class jline.api.mapqn.Mapqn_qrf_bas_nlp: Minimise mutual information over the BAS polytope.
solver - Variable in class jline.api.infer.InferLqnOptions: Observation-model solver; when null a silent SolverLN is used.
solver - Variable in class jline.solvers.auto.SolverCandidate: The method family: "mva", "ctmc", "ldes", ...
solver - Variable in class jline.solvers.ctmc.CTMCResult
solver - Variable in class jline.solvers.SolverResult: The name of the solver that computed these results
solver(int, int, UnivariateFunction, double, double) - Static method in class jline.lib.lti.customromberg
Solver - Class in jline.solvers: Abstract base class for model solution algorithms and analysis tools.
Solver(String) - Constructor for class jline.solvers.Solver: Constructs a solver with the specified name using default options.
Solver(String, SolverOptions) - Constructor for class jline.solvers.Solver: Constructs a solver with the specified name and options.
Solver(Model, String, SolverOptions) - Constructor for class jline.solvers.Solver: Constructs a solver with the specified model, name, and options.
solver_ag(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ag.handlers.Solver_ag
Solver_ag - Class in jline.solvers.ag.handlers: Entry point of the agent-based (RCAT) solver.
solver_ag_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ag.analyzers.Solver_ag_analyzer
Solver_ag_analyzer - Class in jline.solvers.ag.analyzers: Analyzer of the agent-based (RCAT) solver.
solver_ag_build(NetworkStruct, int) - Static method in class jline.solvers.ag.handlers.Solver_ag_build
Solver_ag_build - Class in jline.solvers.ag.handlers: Port of build_rcat in solver_ag.m: the network to its RCAT components and actions.
solver_ag_inap(RCATModel) - Static method in class jline.solvers.ag.handlers.Solver_ag_inap
solver_ag_inap(RCATModel, double, int) - Static method in class jline.solvers.ag.handlers.Solver_ag_inap
solver_ag_inap(RCATModel, double, int, int) - Static method in class jline.solvers.ag.handlers.Solver_ag_inap
solver_ag_inap(RCATModel, double, int, int, String) - Static method in class jline.solvers.ag.handlers.Solver_ag_inap
solver_ag_inap(RCATModel, double, int, int, String, AgExec) - Static method in class jline.solvers.ag.handlers.Solver_ag_inap: The reversed-rate fixed point, with the agents of each sweep evaluated by exec.
Solver_ag_inap - Class in jline.solvers.ag.handlers
solver_ag_inapinf(RCATModel, boolean[], double, int) - Static method in class jline.solvers.ag.handlers.Solver_ag_inap: Matrix-geometric INAP ('inapinf'): the isolated OPEN components are solved directly on their infinite state space by a scalar matrix-geometric (QBD / catastrophe) decomposition -- the marginal is geometric pi_n = (1-rho) rho^n with rho the sub-unit root of the QBD characteristic equation, and any catastrophe drain to the empty state folds into the local outflow.
solver_ag_metrics(NetworkStruct, INAPResult, RCATModel) - Static method in class jline.solvers.ag.handlers.Solver_ag_metrics
Solver_ag_metrics - Class in jline.solvers.ag.handlers
solver_amva(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_amva
Solver_amva - Class in jline.solvers.mva.handlers: Handler for the solver_amva function.
solver_amvald(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_amvald
Solver_amvald - Class in jline.solvers.mva.handlers: Handler for the solver_amvald function
solver_amvald_forward(List<Matrix>, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, double, double, Matrix, List<Integer>, List<Integer>, List<Integer>, Map<Integer, List<Integer>>, Map<Integer, List<Integer>>, Map<Integer, List<Integer>>, Map<Integer, List<Integer>>, int, int, Matrix, Matrix, Matrix, Map<Station, SerializableFunction<Matrix, Matrix>>, Map<Station, SerializableFunction<Matrix, Matrix>>, List<SchedStrategy>, List<Station>, SolverOptions, boolean[]) - Static method in class jline.solvers.mva.handlers.Solver_amvald
solver_ba_bgt_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ba.analyzers.Solver_ba_bgt_analyzer
Solver_ba_bgt_analyzer - Class in jline.solvers.ba.analyzers: Piecewise-linear Lyapunov UPPER bound on the steady-state queue lengths of a multitype open Markovian network, valid for EVERY work-conserving Markovian policy.
solver_ba_bpt_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ba.analyzers.Solver_ba_bpt_analyzer
Solver_ba_bpt_analyzer - Class in jline.solvers.ba.analyzers: Achievable-region LOWER bound on the mean response times of a multiclass open Markovian network, valid for EVERY non-idling scheduling policy at every station.
solver_ba_snc_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ba.analyzers.Solver_ba_snc_analyzer
Solver_ba_snc_analyzer - Class in jline.solvers.ba.analyzers: Stochastic network calculus UPPER bound on the mean response times and queue lengths of a feed-forward open network, valid for EVERY work-conserving scheduling policy at every station.
Solver_ba_snc_analyzer.Envelopes - Class in jline.solvers.ba.analyzers: The per-pair envelopes the analyzer built, kept so that the quantile accessors can read the tail without a second pass over the network.
solver_ba_spnlp_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ba.analyzers.Solver_ba_spnlp_analyzer
Solver_ba_spnlp_analyzer - Class in jline.solvers.ba.analyzers: Linear-programming bounds on the mean marking and the throughputs of a stochastic timed Petri net.
solver_ctmc(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.handlers.Solver_ctmc
Solver_ctmc - Class in jline.solvers.ctmc.handlers
Solver_ctmc(SolverCTMC) - Constructor for class jline.solvers.ctmc.handlers.Solver_ctmc
solver_ctmc_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.analyzers.Solver_ctmc_analyzer
Solver_ctmc_analyzer - Class in jline.solvers.ctmc.analyzers
Solver_ctmc_analyzer(SolverCTMC) - Constructor for class jline.solvers.ctmc.analyzers.Solver_ctmc_analyzer
Solver_ctmc_fcr_waitq - Class in jline.solvers.ctmc.handlers: Reachability-based state space and per-action rate filters for models with a finite capacity region (FCR) whose drop rule is WAITQ (waiting queue).
Solver_ctmc_fcr_waitq.Result - Class in jline.solvers.ctmc.handlers: Result bundle: augmented spaces, the per-action rate filters, and the true-BAS become-blocked arcs.
solver_ctmc_joint(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.handlers.Solver_ctmc_joint
Solver_ctmc_joint - Class in jline.solvers.ctmc.handlers
Solver_ctmc_joint(SolverCTMC) - Constructor for class jline.solvers.ctmc.handlers.Solver_ctmc_joint
solver_ctmc_jointaggr(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.handlers.Solver_ctmc_jointaggr
Solver_ctmc_jointaggr - Class in jline.solvers.ctmc.handlers
Solver_ctmc_jointaggr() - Constructor for class jline.solvers.ctmc.handlers.Solver_ctmc_jointaggr
Solver_ctmc_mapc - Class in jline.solvers.ctmc.handlers: Pair form of a multiserver MAP (and MMPP2) service for the CTMC state space; port of MATLAB solver_ctmc_mapc.m.
solver_ctmc_marg(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.handlers.Solver_ctmc_marg
Solver_ctmc_marg - Class in jline.solvers.ctmc.handlers
Solver_ctmc_marg(SolverCTMC) - Constructor for class jline.solvers.ctmc.handlers.Solver_ctmc_marg
solver_ctmc_margaggr(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.handlers.Solver_ctmc_margaggr
Solver_ctmc_margaggr - Class in jline.solvers.ctmc.handlers
solver_ctmc_mdd(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer: Analyse a closed single-class network by MDD level aggregation.
solver_ctmc_mdd(NetworkStruct, SolverOptions, Network) - Static method in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer: Analyse a closed single-class network, or a stochastic Petri net, by MDD level aggregation.
Solver_ctmc_mdd_analyzer - Class in jline.solvers.ctmc.analyzers: Stationary analysis by decision-diagram level aggregation.
Solver_ctmc_mdd_analyzer.MddResult - Class in jline.solvers.ctmc.analyzers: Metrics and diagram description returned by the aggregation analyzer.
Solver_ctmc_pools - Class in jline.solvers.ctmc.handlers: Heterogeneous server pools (Queue.addServerType) for the CTMC state space; port of MATLAB solver_ctmc_pools.m, following the LDES semantics.
solver_ctmc_qrf_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.analyzers.Solver_ctmc_qrf_analyzer
Solver_ctmc_qrf_analyzer - Class in jline.solvers.ctmc.analyzers
solver_ctmc_reward(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.analyzers.Solver_ctmc_reward: Compute rewards via value iteration on uniformized CTMC.
Solver_ctmc_reward - Class in jline.solvers.ctmc.analyzers
solver_custom(NetworkStruct, SolverOptions) - Static method in class jline.examples.java.advanced.SolverCustomAlgorithm: The solution algorithm proper: QN, UN, RN, TN, CN and XN for the model.
solver_custom_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.examples.java.advanced.SolverCustomAnalyzer: Wraps SolverCustomAlgorithm.solver_custom(jline.lang.NetworkStruct, jline.solvers.SolverOptions) with the bookkeeping a solver owes its caller.
solver_fluid(NetworkStruct, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.ClosingAndStateDepMethodsAnalyzer: Integrates the closing ODE to its fixed point and fills the queue-length measures, leaving ClosingAndStateDepMethodsAnalyzer.xvec_it and ClosingAndStateDepMethodsAnalyzer.xvec_t at the mean trajectory.
solver_fluid_iteration(NetworkStruct, Map<Station, Map<JobClass, Matrix>>, Map<Station, Map<JobClass, Matrix>>, Matrix, double[], Matrix, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.ClosingAndStateDepMethodsAnalyzer
solver_fluid_iteration(NetworkStruct, Map<Station, Map<JobClass, Matrix>>, Map<Station, Map<JobClass, Matrix>>, Matrix, double[], Matrix, SolverOptions, SolverResult) - Method in class jline.solvers.fluid.analyzers.TbiAnalyzer
solver_ldes_analyzer(NetworkStruct, SolverOptions, SolverLDES) - Static method in class jline.solvers.ldes.analyzers.Solver_ldes_analyzer: LDES analyzer that selects and executes the appropriate analysis method.
Solver_ldes_analyzer - Class in jline.solvers.ldes.analyzers
solver_ldes_analyzer_parallel(NetworkStruct, LDESOptions, SolverLDES) - Static method in class jline.solvers.ldes.analyzers.Solver_ldes_analyzer_parallel
Solver_ldes_analyzer_parallel - Class in jline.solvers.ldes.analyzers: Parallel replication analyzer for LDES solver.
solver_ldes_ln_analyzer(LayeredNetworkStruct, SolverOptions, SolverLDES) - Static method in class jline.solvers.ldes.analyzers.Solver_ldes_ln_analyzer: LN LDES analyzer - validates LQN structure and dispatches to SSJ backend.
Solver_ldes_ln_analyzer - Class in jline.solvers.ldes.analyzers
solver_mam(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam
Solver_mam - Class in jline.solvers.mam.handlers
solver_mam_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.analyzers.Solver_mam_analyzer
Solver_mam_analyzer - Class in jline.solvers.mam.analyzers
solver_mam_basic(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_basic
Solver_mam_basic - Class in jline.solvers.mam.handlers
solver_mam_basic_mmap(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_basic_mmap
Solver_mam_basic_mmap - Class in jline.solvers.mam.handlers: Top-level dispatcher for the MAM/MMAP fork-join decomposition.
solver_mam_basic_mmap_closed(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_basic_mmap_closed
Solver_mam_basic_mmap_closed - Class in jline.solvers.mam.handlers: Closed-network wrapper around Solver_mam_basic_mmap_inner.
solver_mam_basic_mmap_inner(NetworkStruct, SolverOptions, double[]) - Static method in class jline.solvers.mam.handlers.Solver_mam_basic_mmap_inner
Solver_mam_basic_mmap_inner - Class in jline.solvers.mam.handlers: MAM/MMAP fork-join decomposition algorithm parameterised by per-class arrival rates LAMBDA.
solver_mam_bgchain(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_bgchain
Solver_mam_bgchain - Class in jline.solvers.mam.handlers: Mixed-network solver that treats the CLOSED classes as a background modulating chain and the OPEN classes as matrix-analytic queues driven by it.
solver_mam_bmap_map_1(List<Matrix>, Matrix, Matrix) - Static method in class jline.solvers.mam.handlers.Solver_mam_bmap_map_1
solver_mam_bmap_map_1(List<Matrix>, Matrix, Matrix, int) - Static method in class jline.solvers.mam.handlers.Solver_mam_bmap_map_1: Solves a BMAP/MAP/1 queue using M/G/1 type matrix-analytic methods.
Solver_mam_bmap_map_1 - Class in jline.solvers.mam.handlers
solver_mam_dt(NetworkStruct, SolverOptions, double) - Static method in class jline.solvers.mam.analyzers.Solver_mam_dt
Solver_mam_dt - Class in jline.solvers.mam.analyzers: Discrete-time (slotted) analysis of an open network whose interarrival and service laws all live on the slot lattice.
solver_mam_fj(NetworkStruct) - Static method in class jline.solvers.mam.handlers.Solver_mam_fj
solver_mam_fj(NetworkStruct, double[]) - Static method in class jline.solvers.mam.handlers.Solver_mam_fj
solver_mam_fj(NetworkStruct, double[], int) - Static method in class jline.solvers.mam.handlers.Solver_mam_fj
solver_mam_fj(NetworkStruct, double[], int, String) - Static method in class jline.solvers.mam.handlers.Solver_mam_fj: Solve Fork-Join network using FJ_codes algorithm.
Solver_mam_fj - Class in jline.solvers.mam.handlers
solver_mam_ldqbd(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_ldqbd
Solver_mam_ldqbd - Class in jline.solvers.mam.handlers: Solver for single-class two-station queueing networks using a Level-Dependent QBD.
solver_mam_ldqbd_avg(Solver_mam_ldqbd_statevec.Ld, Matrix, int[]) - Static method in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec: Map a flat LD-QBD distribution to per-(station,class) mean metrics.
solver_mam_ldqbd_flatten(Solver_mam_ldqbd_statevec.Ld) - Static method in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec: Assemble a dense generator from the block-tridiagonal LD-QBD representation.
solver_mam_ldqbd_ld(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec: Build the LD-QBD blocks and parameters (the ld struct) for a single-class Delay/Queue (closed) or Source/Queue (open) model.
Solver_mam_ldqbd_statevec - Class in jline.solvers.mam.handlers: LD-QBD block construction, flattening and metric mapping.
Solver_mam_ldqbd_statevec.Avg - Class in jline.solvers.mam.handlers: Per-(station,class) mean metrics derived from a flat LD-QBD distribution.
Solver_mam_ldqbd_statevec.Flat - Class in jline.solvers.mam.handlers: Flattened generator together with the queue level of each flat state.
Solver_mam_ldqbd_statevec.Ld - Class in jline.solvers.mam.handlers: Block-tridiagonal LD-QBD representation plus the parameters the avg mapping needs.
solver_mam_ldqbd_transient(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_ldqbd_transient
Solver_mam_ldqbd_transient - Class in jline.solvers.mam.handlers
solver_mam_map_bmap_1(Matrix, Matrix, List<Matrix>) - Static method in class jline.solvers.mam.handlers.Solver_mam_map_bmap_1
Solver_mam_map_bmap_1 - Class in jline.solvers.mam.handlers: MAP/BMAP/1 Queue Solver using GI/M/1 type analysis with ETAQA.
solver_mam_mapmap1_exact(NetworkStruct) - Static method in class jline.solvers.mam.analyzers.Solver_mam_mapmap1_exact: Returns an exact MAMResult when sn is a single-class single-server open MAP/MAP/1 queue with a correlated (non-renewal) arrival or service; otherwise returns null so the caller falls back to decomposition.
Solver_mam_mapmap1_exact - Class in jline.solvers.mam.analyzers
solver_mam_mmck_exact(NetworkStruct) - Static method in class jline.solvers.mam.analyzers.Solver_mam_mmck_exact
Solver_mam_mmck_exact - Class in jline.solvers.mam.analyzers: Exact fast-path for the finite-capacity M/M/c/K queue: a Source-Queue(-Sink) model whose station has a finite total capacity, Poisson arrivals and a shared exponential service rate.
solver_mam_passage_time(NetworkStruct, Map<Station, Map<JobClass, MatrixCell>>, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_passage_time
Solver_mam_passage_time - Class in jline.solvers.mam.handlers
solver_mam_retrial(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_retrial: Solves BMAP/PH/N/N bufferless retrial queues using the MAM retrial solver.
Solver_mam_retrial - Class in jline.solvers.mam.handlers
solver_mam_traffic(NetworkStruct, Map<Integer, Map<Integer, MatrixCell>>, SolverOptions.Config) - Static method in class jline.solvers.mam.handlers.Solver_mam_traffic
Solver_mam_traffic - Class in jline.solvers.mam.handlers
solver_mam_traffic_mmap(NetworkStruct, Map<Integer, Map<Integer, MatrixCell>>, SolverOptions.Config, SnBuildFjSyncMap.FjSyncMap) - Static method in class jline.solvers.mam.handlers.Solver_mam_traffic_mmap
Solver_mam_traffic_mmap - Class in jline.solvers.mam.handlers: FJ-aware traffic solver extending solver_mam_traffic with mmap_max synchronization at join points.
solver_mam_transient_qbd(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_transient_qbd
Solver_mam_transient_qbd - Class in jline.solvers.mam.handlers
solver_mapqn(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_mapqn
Solver_mapqn - Class in jline.solvers.mva.handlers: SolverMVA method 'amva.mapqn': the horizontal-cut mean value analysis (Mapqn_amva) of a closed multiclass model with one exponential delay station and one FCFS single-server queue whose class-r service is a MAP.
solver_mna_closed(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mna_closed
Solver_mna_closed - Class in jline.solvers.mam.handlers
solver_mna_open(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mna_open
Solver_mna_open - Class in jline.solvers.mam.handlers
solver_mva(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_mva
Solver_mva - Class in jline.solvers.mva.handlers: Handler for the solver_mva function.
solver_mva_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_analyzer: MVA Analyzer.
Solver_mva_analyzer - Class in jline.solvers.mva.analyzers
solver_mva_bound_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_bound_analyzer
Solver_mva_bound_analyzer - Class in jline.solvers.mva.analyzers: MVA Analyzer class for bounding methods.
solver_mva_cache_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_cache_analyzer
Solver_mva_cache_analyzer - Class in jline.solvers.mva.analyzers: MVA Analyzer class for non-rentrant caches
solver_mva_cacheqn_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_cacheqn_analyzer
Solver_mva_cacheqn_analyzer - Class in jline.solvers.mva.analyzers
solver_mva_cacheqn_retrieval_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_cacheqn_retrieval_analyzer
Solver_mva_cacheqn_retrieval_analyzer - Class in jline.solvers.mva.analyzers: MVA analyzer for a CLOSED integrated cache-queueing model whose Cache node has a delayed-hit retrieval system.
Solver_mva_cacheqn_retrieval_analyzer() - Constructor for class jline.solvers.mva.analyzers.Solver_mva_cacheqn_retrieval_analyzer
solver_mva_lcfsqn(NetworkStruct, SolverOptions, int, int) - Static method in class jline.solvers.mva.handlers.Solver_mva_lcfsqn: Specialized MVA solver for LCFS + LCFS-PR 2-station networks.
Solver_mva_lcfsqn - Class in jline.solvers.mva.handlers
solver_mva_marie_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_marie_analyzer
Solver_mva_marie_analyzer - Class in jline.solvers.mva.analyzers: Marie's iterative aggregation-decomposition (Marie 1979/1980) for closed networks with FCFS non-exponential (Coxian) service, wired as SolverMVA method 'marie'.
solver_mva_polling_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_polling_analyzer: MVA Polling System analyzer
Solver_mva_polling_analyzer - Class in jline.solvers.mva.analyzers
solver_mva_qsys_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_qsys_analyzer: MVA Query System analyzer
Solver_mva_qsys_analyzer - Class in jline.solvers.mva.analyzers
solver_mva_qsys_dps_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_qsys_analyzer: Numerically exact analyzer for a single open M/M/1-DPS queue: dispatches to the truncated-CTMC DPS solver (Qsys_mm1_dps).
solver_mva_qsys_prio_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_qsys_analyzer: Exact non-preemptive priority (HOL) analyzer for a single open M/G/1 queue with Poisson per-class arrivals: dispatches to the Cobham formula (Qsys_mg1_prio) instead of the AMVA preemptive shadow-server approximation, which underestimates the waiting time of every class.
solver_mva_qsys_sizebased_analyzer(NetworkStruct, SolverOptions, SchedStrategy) - Static method in class jline.solvers.mva.analyzers.Solver_mva_qsys_sizebased_analyzer
Solver_mva_qsys_sizebased_analyzer - Class in jline.solvers.mva.analyzers: M/G/1 queueing systems with SIZE-BASED scheduling: SRPT, PSJF, FB (LAS), LRPT and SETF.
solver_mva_retrieval_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_retrieval_analyzer
Solver_mva_retrieval_analyzer - Class in jline.solvers.mva.analyzers: Approximate analysis of a delayed-hit (retrieval-system) cache via the FPI algorithms Retrieval_fpi (hit/miss/delayed-hit) and Retrieval_fpi_latency (expected latency Z).
solver_mva_sjn_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mva_sjn_analyzer
Solver_mva_sjn_analyzer - Class in jline.solvers.mva.analyzers: Closed networks with non-preemptive shortest-job-next (SJF) stations, wired as a SolverMVA dispatch path.
solver_mva_sum(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_mva_sum
Solver_mva_sum - Class in jline.solvers.mva.handlers: Summation method (SUM/ESUM) analyzer handler.
solver_mvac(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_mva: Exact mean value analysis by chain (MVAC, Conway-de Souza e Silva-Lavenberg 1989) via Pfqn_mvac.
solver_mvald(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_mvald: Handler for the solver_mvald function.
Solver_mvald - Class in jline.solvers.mva.handlers
solver_mvald_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.analyzers.Solver_mvald_analyzer: MVALD Analyzer.
Solver_mvald_analyzer - Class in jline.solvers.mva.analyzers
solver_nc(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.handlers.Solver_nc
Solver_nc - Class in jline.solvers.nc.handlers
solver_nc_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_analyzer
Solver_nc_analyzer - Class in jline.solvers.nc.analyzers
solver_nc_cache_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_cache_analyzer
Solver_nc_cache_analyzer - Class in jline.solvers.nc.analyzers
solver_nc_cache_qn_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_cache_qn_analyzer
Solver_nc_cache_qn_analyzer - Class in jline.solvers.nc.analyzers: NC Analyzer class for solver_nc_cacheqn_analyzer.
solver_nc_cacheqn_retrieval_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_cacheqn_retrieval_analyzer
Solver_nc_cacheqn_retrieval_analyzer - Class in jline.solvers.nc.analyzers: NC analyzer for a CLOSED integrated cache-queueing model whose Cache node has a delayed-hit retrieval system.
Solver_nc_cacheqn_retrieval_analyzer() - Constructor for class jline.solvers.nc.analyzers.Solver_nc_cacheqn_retrieval_analyzer
solver_nc_cftp(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer: Steady-state metrics of a closed single-class product-form network from iid perfect samples of its stationary distribution.
Solver_nc_cftp_analyzer - Class in jline.solvers.nc.analyzers: Perfect-sampling steady-state analysis of closed single-class product-form networks from their balance function, the sampling counterpart of the exact normalizing-constant methods of SolverNC.
Solver_nc_cftp_analyzer.CftpResult - Class in jline.solvers.nc.analyzers: Metrics and sampled states returned by the perfect-sampling analyzer.
solver_nc_conv(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.handlers.Solver_nc_conv
Solver_nc_conv - Class in jline.solvers.nc.handlers: Exact normalizing constant solver for closed networks with Limited class-dependent (cdscaling) service rates, using the multichain convolution algorithm of Sauer (1983), Section 5.2.
solver_nc_dps_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_dps_analyzer: Analyzes the closed think+DPS network.
Solver_nc_dps_analyzer - Class in jline.solvers.nc.analyzers: Heavy-usage asymptotic analysis of the closed two-station network with one think (infinite-server) station and one discriminatory processor-sharing station, by the generating-function expansion of J.A.
Solver_nc_dps_analyzer() - Constructor for class jline.solvers.nc.analyzers.Solver_nc_dps_analyzer
solver_nc_dt_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer: Exact discrete-time analysis of sn.
Solver_nc_dt_analyzer - Class in jline.solvers.nc.analyzers: Exact normalizing-constant analysis of a discrete-time (slotted) queueing model, selected by options.config.slotted.
Solver_nc_dt_analyzer.DtModel - Class in jline.solvers.nc.analyzers: Classification of a model against the discrete-time product form.
solver_nc_joint(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.handlers.Solver_nc_joint
Solver_nc_joint - Class in jline.solvers.nc.handlers
solver_nc_jointaggr(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.handlers.Solver_nc_jointaggr: Computes aggregated joint probabilities for the NC solver.
Solver_nc_jointaggr - Class in jline.solvers.nc.handlers
solver_nc_jointaggr_ld(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.handlers.Solver_nc_jointaggr_ld: Computes load-dependent aggregated joint probabilities for the NC solver.
Solver_nc_jointaggr_ld - Class in jline.solvers.nc.handlers
solver_nc_jointmarg(NetworkStruct, SolverOptions, Matrix, String, Double) - Static method in class jline.solvers.nc.handlers.Solver_nc_jointmarg
Solver_nc_jointmarg - Class in jline.solvers.nc.handlers: Joint probability of the per-station TOTAL queue lengths.
Solver_nc_jointmarg.Ret_jointmarg - Class in jline.solvers.nc.handlers: Result of a joint total-queue-length evaluation.
solver_nc_lcfsqn(NetworkStruct, SolverOptions, int, int) - Static method in class jline.solvers.nc.handlers.Solver_nc_lcfsqn
Solver_nc_lcfsqn - Class in jline.solvers.nc.handlers: Specialized NC solver for LCFS + LCFS-PR 2-station networks.
solver_nc_lossn_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_lossn_analyzer: Analyzes open loss networks with FCR.
Solver_nc_lossn_analyzer - Class in jline.solvers.nc.analyzers
solver_nc_marg(NetworkStruct, SolverOptions, double) - Static method in class jline.solvers.nc.handlers.Solver_nc_marg
solver_nc_marg(NetworkStruct, SolverOptions, Double) - Static method in class jline.solvers.nc.handlers.Solver_nc_marg: Convenience overload accepting a boxed Double lG (which may be null, meaning the normalizing constant is unknown and will be computed).
Solver_nc_marg - Class in jline.solvers.nc.handlers
solver_nc_margaggr(NetworkStruct, SolverOptions, Double) - Static method in class jline.solvers.nc.handlers.Solver_nc_margaggr: Computes aggregated marginal probabilities for the NC solver.
Solver_nc_margaggr - Class in jline.solvers.nc.handlers
solver_nc_oi(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.handlers.Solver_nc_oi
Solver_nc_oi - Class in jline.solvers.nc.handlers: Exact normalizing-constant analysis of a closed queueing network that mixes order-independent (OI) stations with ordinary BCMP product-form stations.
solver_nc_pas_is(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.handlers.Solver_nc_pas_is
Solver_nc_pas_is - Class in jline.solvers.nc.handlers: Importance-sampling (IS) normalizing-constant analysis of a closed two-station pass-and-swap (P&S) tandem with a non-empty swap graph (Casale, Comte and Dorsman, 2026).
solver_nc_retrieval_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_retrieval_analyzer
Solver_nc_retrieval_analyzer - Class in jline.solvers.nc.analyzers: Exact analysis of a delayed-hit (retrieval-system) cache via the product-form algorithms Retrieval_nc (normalizing constant) and Retrieval_metrics (hit/miss/ delayed-hit).
solver_nc_sdr_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_sdr_analyzer: Analyzes a network whose entry center routes by state-dependent routing.
Solver_nc_sdr_analyzer - Class in jline.solvers.nc.analyzers: Exact product-form analysis of a closed multiclass network with the state-dependent routing of Krzesinski (1987), "Multiclass Queueing Networks with State-Dependent Routing", Performance Evaluation 7(2):125-143.
Solver_nc_sdr_analyzer() - Constructor for class jline.solvers.nc.analyzers.Solver_nc_sdr_analyzer
solver_nc_spn_analyzer(Network, NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_spn_analyzer: Analyse a product-form stochastic Petri net.
Solver_nc_spn_analyzer - Class in jline.solvers.nc.analyzers: Stationary analysis of a PRODUCT-FORM stochastic Petri net by MDD-rec: the normalising constant is obtained from one memoised walk of the decision diagram holding the reachable set, and every reported measure is a masked walk of the same diagram.
solver_ncld(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.handlers.Solver_ncld
Solver_ncld - Class in jline.solvers.nc.handlers
solver_ncld_analyzer(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_ncld_analyzer
Solver_ncld_analyzer - Class in jline.solvers.nc.analyzers
solver_qna(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_qna
Solver_qna - Class in jline.solvers.mva.handlers
Solver_qns - Class in jline.solvers.wrappers.lqns.qnsolver: Core handler for the qnsolver path of SolverLQNS.
Solver_qns(NetworkStruct, SolverOptions) - Constructor for class jline.solvers.wrappers.lqns.qnsolver.Solver_qns
Solver_qns_analyzer - Class in jline.solvers.wrappers.lqns.qnsolver: Analyzer for the qnsolver path of SolverLQNS (its qns methods on a flat Network).
Solver_qns_analyzer(SolverLQNS) - Constructor for class jline.solvers.wrappers.lqns.qnsolver.Solver_qns_analyzer
solver_rqna(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_rqna
Solver_rqna - Class in jline.solvers.mva.handlers: Robust Queueing Network Analyzer (RQNA) based on indices of dispersion.
solver_rqt(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_rqt
Solver_rqt - Class in jline.solvers.mva.handlers: Robust Queueing Network Analyzer (RQNA) of Robust Queueing Theory.
solver_sqd(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_sqd
Solver_sqd - Class in jline.solvers.mva.handlers: Handler for the Blocking-After-Service (BAS) approximate MVA method.
solver_ssa(NetworkStruct, EventCache, Map<StatefulNode, Matrix>, SolverOptions, SolverSSA) - Static method in class jline.solvers.ssa.handlers.Solver_ssa
Solver_ssa - Class in jline.solvers.ssa.handlers
solver_ssa_analyzer(NetworkStruct, SolverOptions, SolverSSA) - Static method in class jline.solvers.ssa.analyzers.Solver_ssa_analyzer
Solver_ssa_analyzer - Class in jline.solvers.ssa.analyzers
solver_ssa_analyzer_nrm(NetworkStruct, Map<StatefulNode, Matrix>, SolverOptions) - Static method in class jline.solvers.ssa.analyzers.Solver_ssa_analyzer_nrm
Solver_ssa_analyzer_nrm - Class in jline.solvers.ssa.analyzers
solver_ssa_analyzer_nrm_space(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ssa.analyzers.Solver_ssa_analyzer_nrm_space
Solver_ssa_analyzer_nrm_space - Class in jline.solvers.ssa.analyzers
solver_ssa_analyzer_parallel(NetworkStruct, Map<StatefulNode, Matrix>, SolverOptions, SolverSSA) - Static method in class jline.solvers.ssa.analyzers.Solver_ssa_analyzer_parallel
Solver_ssa_analyzer_parallel - Class in jline.solvers.ssa.analyzers
solver_ssa_analyzer_serial(NetworkStruct, boolean, Map<StatefulNode, Matrix>, SolverOptions, SolverSSA) - Static method in class jline.solvers.ssa.analyzers.Solver_ssa_analyzer_serial
Solver_ssa_analyzer_serial - Class in jline.solvers.ssa.analyzers
solver_ssa_findenabled(NetworkStruct, EventCache, int, Map<Integer, Integer>, Map<Integer, Map<Integer, Matrix>>, Map<Integer, Matrix>, Map<Integer, EventType>, Map<Integer, Integer>, boolean, Map<Integer, Double>, Map<Integer, Integer>, int, Map<Integer, EventType>, Map<Integer, Integer>, Map<Integer, Double>, Map<Integer, Double>, Map<Integer, Sync>, Map<Integer, Integer>, Map<Integer, Integer>, Map<Integer, Matrix>, Map<Integer, Matrix>, Map<Integer, int[][]>, Map<Integer, Matrix>, int, Map<Integer, Matrix>, Map<Integer, Matrix>, int[], Matrix, Map<Integer, Double>, Map<Integer, Integer>, Map<Integer, int[]>, SolverSSA, AfterEventContext) - Static method in class jline.solvers.ssa.handlers.Solver_ssa_findenabled
Solver_ssa_findenabled - Class in jline.solvers.ssa.handlers
solver_ssa_nrm(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ssa.handlers.Solver_ssa_nrm
Solver_ssa_nrm - Class in jline.solvers.ssa.handlers
solver_ssa_nrm_space(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space
Solver_ssa_nrm_space - Class in jline.solvers.ssa.handlers
Solver_ssa_nrm_space.NrmSpaceResult - Class in jline.solvers.ssa.handlers: Holder for the three outputs of Solver_ssa_nrm_space.nrm_space(jline.util.matrix.Matrix, java.util.List<java.util.List<java.lang.Integer>>, java.util.function.BiFunction<jline.util.matrix.Matrix, java.util.ArrayDeque<java.lang.Integer>[], java.lang.Double>[], jline.util.matrix.Matrix, java.util.ArrayDeque<java.lang.Integer>[], int, jline.solvers.SolverOptions, java.util.Map<java.lang.String, double[]>, java.util.List<int[]>, double[], int, jline.lang.NetworkStruct).
Solver_ssa_nrm_space.SolverSSAResultNRMSpace - Class in jline.solvers.ssa.handlers
solver_ssj(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ldes.handlers.Solver_ssj
solver_ssj(NetworkStruct, SolverOptions, Collector) - Static method in class jline.solvers.ldes.handlers.Solver_ssj: Steady-state queueing network simulation using the SSJ library.
Solver_ssj - Class in jline.solvers.ldes.handlers: Top-level Java translation of Solver_ssj.kt.
solver_ssj_ln(LayeredNetworkStruct, SolverOptions) - Static method in class jline.solvers.ldes.handlers.Solver_ssj_ln: Steady-state LayeredNetwork simulation using SSJ library.
Solver_ssj_ln - Class in jline.solvers.ldes.handlers
solver_ssj_transient(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ldes.handlers.Solver_ssj
solver_ssj_transient(NetworkStruct, SolverOptions, Collector) - Static method in class jline.solvers.ldes.handlers.Solver_ssj: Transient analysis of queueing network using the SSJ library.
Solver_ssj.ConstantGen - Class in jline.solvers.ldes.handlers: Custom random variate generator for deterministic (constant) values.
Solver_ssj.DiscreteUniformGen - Class in jline.solvers.ldes.handlers: Random variate generator for DiscreteUniform, the uniform law on the w = max - min + 1 points min, min+1, ..., max.
Solver_ssj.ShiftedGeometricGen - Class in jline.solvers.ldes.handlers: Random variate generator for a geometric distribution supported on {1,2,...}, i.e.
SolverAG - Class in jline.solvers.ag: Agent-based (RCAT) solver.
SolverAG(Network) - Constructor for class jline.solvers.ag.SolverAG
SolverAG(Network, Object...) - Constructor for class jline.solvers.ag.SolverAG
SolverAG(Network, String) - Constructor for class jline.solvers.ag.SolverAG
SolverAG(Network, SolverOptions) - Constructor for class jline.solvers.ag.SolverAG
SolverAUTO - Class in jline.solvers.auto: Automatic solver selection for queueing network models.
SolverAUTO(Network) - Constructor for class jline.solvers.auto.SolverAUTO: Constructor with model only
SolverAUTO(Network, Object...) - Constructor for class jline.solvers.auto.SolverAUTO: Constructor with model and varargs
SolverAUTO(Network, String) - Constructor for class jline.solvers.auto.SolverAUTO: Constructor with model and method
SolverAUTO(Network, SolverOptions) - Constructor for class jline.solvers.auto.SolverAUTO: Constructor with model and options
SolverAUTO.AutoToken - Class in jline.solvers.auto: A method name split into a selection intent, or a family plus its submethod.
SolverAvgHandles - Class in jline.solvers: Container for organized performance metric handles computed by queueing network solvers.
SolverAvgHandles(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Constructor for class jline.solvers.SolverAvgHandles: Constructs a new SolverAvgHandles container with the specified metric handles.
SolverAvgHandles(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Constructor for class jline.solvers.SolverAvgHandles: Constructs a new SolverAvgHandles container with all metric handles including tardiness.
SolverBA - Class in jline.solvers.ba: SolverBA is the dedicated bound-analysis solver for closed queueing networks.
SolverBA(Network) - Constructor for class jline.solvers.ba.SolverBA
SolverBA(Network, Object...) - Constructor for class jline.solvers.ba.SolverBA
SolverBA(Network, String) - Constructor for class jline.solvers.ba.SolverBA
SolverBA(Network, SolverOptions) - Constructor for class jline.solvers.ba.SolverBA
SolverBA.Bounds - Class in jline.solvers.ba: Container for the {lower,upper} throughput/queue-length bracket of a bound family.
SolverCandidate - Class in jline.solvers.auto: One row of SolverAUTO.findSolver(): a (family, method) pair this model can be asked for, whether it runs, what kind of answer it returns and which measures it can report.
SolverCandidate(String, String, boolean, String, String, String) - Constructor for class jline.solvers.auto.SolverCandidate
SolverConfigurator(NetworkSolver) - Constructor for class jline.solvers.NetworkSolver.SolverConfigurator
SolverCTMC - Class in jline.solvers.ctmc: Solver for Continuous-Time Markov Chain (CTMC) analysis of queueing networks.
SolverCTMC(Network, Object...) - Constructor for class jline.solvers.ctmc.SolverCTMC
SolverCTMC(Network, SolverOptions) - Constructor for class jline.solvers.ctmc.SolverCTMC
SolverCTMC(MarkovChain, Object...) - Constructor for class jline.solvers.ctmc.SolverCTMC: Solves a user-supplied DTMC directly, bypassing state-space generation.
SolverCTMC(MarkovChain, SolverOptions) - Constructor for class jline.solvers.ctmc.SolverCTMC: Solves a user-supplied DTMC directly, bypassing state-space generation.
SolverCTMC(MarkovProcess, Object...) - Constructor for class jline.solvers.ctmc.SolverCTMC: Solves a user-supplied CTMC directly, bypassing state-space generation.
SolverCTMC(MarkovProcess, SolverOptions) - Constructor for class jline.solvers.ctmc.SolverCTMC: Solves a user-supplied CTMC directly, bypassing state-space generation.
SolverCTMC.AnalyzerResult - Class in jline.solvers.ctmc
SolverCTMC.CtmcSsgResult - Class in jline.solvers.ctmc
SolverCTMC.EventInfo - Class in jline.solvers.ctmc
SolverCTMC.FirstPassageMomentsResult - Class in jline.solvers.ctmc: Result of SolverCTMC.getFirstPassTMoments(jline.util.matrix.Matrix, jline.util.matrix.Matrix, int).
SolverCTMC.FirstPassageResult - Class in jline.solvers.ctmc: Result of SolverCTMC.getCdfFirstPassT(jline.util.matrix.Matrix, jline.util.matrix.Matrix): the [F(t), t] curve plus the grid, density and resolved state sets, the out struct of the reference.
SolverCTMC.generatorResult - Class in jline.solvers.ctmc
SolverCTMC.ParamSetter - Interface in jline.solvers.ctmc: How a scalar model parameter theta is written onto a model.
SolverCTMC.SampleResult - Class in jline.solvers.ctmc
SolverCTMC.SampleSysResult - Class in jline.solvers.ctmc
SolverCTMC.SensitivityParameter - Class in jline.solvers.ctmc: The parameter theta a sensitivity is taken with respect to.
SolverCTMC.sensitivityResult - Class in jline.solvers.ctmc: Parametric sensitivity of the stationary law and, given a reward, of its mean.
SolverCTMC.SolverCtmcJointResult - Class in jline.solvers.ctmc
SolverCTMC.StateSpace - Class in jline.solvers.ctmc
SolverCTMC.StochCompResult - Class in jline.solvers.ctmc
SolverCTMC.SupportResult - Class in jline.solvers.ctmc
SolverCTMC.symbolicGeneratorResult - Class in jline.solvers.ctmc
SolverCTMC.TransientResult - Class in jline.solvers.ctmc
SolverCtmcJointResult(Matrix, double, String) - Constructor for class jline.solvers.ctmc.SolverCTMC.SolverCtmcJointResult
SolverCustom - Class in jline.examples.java.advanced: Template for a user-written LINE solver.
SolverCustom(Network) - Constructor for class jline.examples.java.advanced.SolverCustom
SolverCustom(Network, SolverOptions) - Constructor for class jline.examples.java.advanced.SolverCustom
SolverCustomAlgorithm - Class in jline.examples.java.advanced: The bare solution algorithm of the custom-solver template.
SolverCustomAlgorithm() - Constructor for class jline.examples.java.advanced.SolverCustomAlgorithm
SolverCustomAnalyzer - Class in jline.examples.java.advanced: Everything around the solution algorithm of the custom-solver template.
SolverCustomAnalyzer() - Constructor for class jline.examples.java.advanced.SolverCustomAnalyzer
solveRelative(int) - Method in class jline.lang.processes.MarkovProcess: Equilibrium distribution relative to a reference state, i.e.
SolverENV - Class in jline.solvers.env: ENV - Ensemble environment solver for models immersed in a random environment.
SolverENV(Environment, Solver[]) - Constructor for class jline.solvers.env.SolverENV
SolverENV(Environment, Solver[], SolverOptions) - Constructor for class jline.solvers.env.SolverENV
SolverENV.EnvGeneratorResult - Class in jline.solvers.env: Container class holding the generator matrices and related data structures for both stage-specific and random environment transitions.
SolverENV.SamplePathResult - Class in jline.solvers.env: Result container for sample path analysis, containing metrics for each segment.
SolverENV.SamplePathResult.SamplePathSegment - Class in jline.solvers.env: Data for a single segment in the sample path.
SolverExamples - Class in jline.examples.java.solvers: The solver-comparison examples of matlab/examples/solvers.
SolverExamples() - Constructor for class jline.examples.java.solvers.SolverExamples
solverFactory - Variable in class jline.inference.lang.EstimatorOptions
solverFactory - Variable in class jline.solvers.ln.SolverLN
solverFactory - Variable in class jline.solvers.uq.SolverUQ
SolverFactory - Interface in jline.solvers.ln
SolverFLD - Class in jline.solvers.fluid: SolverFLD is an alias for SolverFluid (Fluid/Mean-Field Approximation solver).
SolverFLD(Network) - Constructor for class jline.solvers.fluid.SolverFLD
SolverFLD(Network, Object...) - Constructor for class jline.solvers.fluid.SolverFLD
SolverFLD(Network, String) - Constructor for class jline.solvers.fluid.SolverFLD
SolverFLD(Network, SolverOptions) - Constructor for class jline.solvers.fluid.SolverFLD
SolverFluid - Class in jline.solvers.fluid: FLD - Fluid/Mean-Field Approximation solver.
SolverFluid(Network) - Constructor for class jline.solvers.fluid.SolverFluid: Creates a new SolverFluid instance with default options.
SolverFluid(Network, Object...) - Constructor for class jline.solvers.fluid.SolverFluid: Creates a new SolverFluid instance with variable arguments for options.
SolverFluid(Network, String) - Constructor for class jline.solvers.fluid.SolverFluid: Creates a new SolverFluid instance with a specific method.
SolverFluid(Network, NetworkSolver, Object...) - Constructor for class jline.solvers.fluid.SolverFluid: Creates a new SolverFluid that warm-starts the ODE integration from the steady-state solution of an auxiliary solver (see NetworkSolver.initFromSolver(jline.solvers.NetworkSolver)).
SolverFluid(Network, SolverOptions) - Constructor for class jline.solvers.fluid.SolverFluid: Creates a new SolverFluid instance with specific options.
SolverJMT - Class in jline.solvers.wrappers.jmt: Solver interface to the Java Modelling Tools (JMT) simulation engine.
SolverJMT(Network) - Constructor for class jline.solvers.wrappers.jmt.SolverJMT
SolverJMT(Network, Object...) - Constructor for class jline.solvers.wrappers.jmt.SolverJMT
SolverJMT(Network, String) - Constructor for class jline.solvers.wrappers.jmt.SolverJMT
SolverJMT(Network, NetworkSolver, Object...) - Constructor for class jline.solvers.wrappers.jmt.SolverJMT: Creates a new SolverJMT that preloads the stations with the steady-state solution of an auxiliary solver (see NetworkSolver.initFromSolver(jline.solvers.NetworkSolver)).
SolverJMT(Network, SolverOptions) - Constructor for class jline.solvers.wrappers.jmt.SolverJMT
SolverJMT(Network, SolverOptions, String) - Constructor for class jline.solvers.wrappers.jmt.SolverJMT
SolverJMT.EventInfo - Class in jline.solvers.wrappers.jmt
SolverJMT.ViewMode - Enum in jline.solvers.wrappers.jmt
solverLabel(Object) - Static method in class jline.io.LineResultRecorder: The golden's key for this solver, or null when it is not one we key by.
solverLabels - Variable in class jline.bench.BenchmarkRegression.BenchmarkResult
solverLabels - Variable in class jline.bench.BenchmarkRegression.RegressionBaseline
SolverLDES - Class in jline.solvers.ldes
SolverLDES(String) - Constructor for class jline.solvers.ldes.SolverLDES: Load a JMT model file (.jsimg/.jsim/.jsimw/.jmva) and simulate with LDES.
SolverLDES(String, Object...) - Constructor for class jline.solvers.ldes.SolverLDES: Load a JMT model file (.jsimg/.jsim/.jsimw/.jmva) and simulate with LDES, accepting variable option arguments (e.g., "seed", 23000, "samples", 50000).
SolverLDES(LayeredNetwork) - Constructor for class jline.solvers.ldes.SolverLDES: Constructs a SolverLDES with the given LayeredNetwork model using default options.
SolverLDES(LayeredNetwork, Object...) - Constructor for class jline.solvers.ldes.SolverLDES: Constructs a SolverLDES with the given LayeredNetwork model and variable arguments.
SolverLDES(LayeredNetwork, SolverOptions) - Constructor for class jline.solvers.ldes.SolverLDES: Constructs a SolverLDES with the given LayeredNetwork model and options.
SolverLDES(Network) - Constructor for class jline.solvers.ldes.SolverLDES: Constructs a SolverLDES with the given model using default options.
SolverLDES(Network, Object...) - Constructor for class jline.solvers.ldes.SolverLDES: Constructs a SolverLDES with the given model and variable arguments.
SolverLDES(Network, String) - Constructor for class jline.solvers.ldes.SolverLDES: Constructs a SolverLDES with the given model and method.
SolverLDES(Network, NetworkSolver, Object...) - Constructor for class jline.solvers.ldes.SolverLDES: Constructs a SolverLDES that warm-starts the simulation from the steady-state distribution computed by another solver.
SolverLDES(Network, SolverOptions) - Constructor for class jline.solvers.ldes.SolverLDES: Constructs a SolverLDES with the given model and options.
SolverLN - Class in jline.solvers.ln: Solver for Layered Queueing Networks (LQN) using ensemble-based iterative methods.
SolverLN(LayeredNetwork) - Constructor for class jline.solvers.ln.SolverLN
SolverLN(LayeredNetwork, SolverType) - Constructor for class jline.solvers.ln.SolverLN
SolverLN(LayeredNetwork, SolverType, LNOptions, SolverOptions) - Constructor for class jline.solvers.ln.SolverLN
SolverLN(LayeredNetwork, SolverType, SolverOptions) - Constructor for class jline.solvers.ln.SolverLN
SolverLN(LayeredNetwork, SolverFactory) - Constructor for class jline.solvers.ln.SolverLN
SolverLN(LayeredNetwork, SolverFactory, SolverOptions) - Constructor for class jline.solvers.ln.SolverLN
SolverLN(LayeredNetwork, SolverFactory, SolverOptions, SolverType) - Constructor for class jline.solvers.ln.SolverLN: layerSolverType is taken before construct(): buildLayers gates routed call groups on the layer solver, so it has to be readable by then.
SolverLN(LayeredNetwork, SolverOptions) - Constructor for class jline.solvers.ln.SolverLN
SolverLN.LNState - Class in jline.solvers.ln: State class for exporting/importing SolverLN solution state.
SolverLN.PHLayer - Class in jline.solvers.ln: One two-station phLayers, and the caller classes that cycle through it.
SolverLN.recurActGraphReturnType - Class in jline.solvers.ln
SolverLQNS - Class in jline.solvers.wrappers.lqns: Solver interface to the LQNS external tools: lqns and lqsim for a Layered Queueing Network, and qnsolver for a flat Network.
SolverLQNS(LayeredNetwork) - Constructor for class jline.solvers.wrappers.lqns.SolverLQNS
SolverLQNS(LayeredNetwork, SolverOptions) - Constructor for class jline.solvers.wrappers.lqns.SolverLQNS
SolverLQNS(Network) - Constructor for class jline.solvers.wrappers.lqns.SolverLQNS: A solver for a flat Network, whose method names are the qns ones.
SolverLQNS(Network, Object...) - Constructor for class jline.solvers.wrappers.lqns.SolverLQNS
SolverLQNS(Network, String) - Constructor for class jline.solvers.wrappers.lqns.SolverLQNS
SolverLQNS(Network, SolverOptions) - Constructor for class jline.solvers.wrappers.lqns.SolverLQNS
SolverLQNS.DetailedLayeredNetworkAvgTable - Class in jline.solvers.wrappers.lqns: Enhanced LayeredNetworkAvgTable with detailed metrics support
SolverMAM - Class in jline.solvers.mam: Solver for Matrix Analytic Methods (MAM) applied to queueing networks.
SolverMAM(Network) - Constructor for class jline.solvers.mam.SolverMAM
SolverMAM(Network, Object...) - Constructor for class jline.solvers.mam.SolverMAM
SolverMAM(Network, String) - Constructor for class jline.solvers.mam.SolverMAM
SolverMAM(Network, SolverOptions) - Constructor for class jline.solvers.mam.SolverMAM
solverMethod(Object) - Static method in class jline.io.LineResultRecorder: The method this solver resolved, or default when it pinned none.
SolverMVA - Class in jline.solvers.mva: SolverMVA implements Mean Value Analysis (MVA) for queueing networks.
SolverMVA(Network) - Constructor for class jline.solvers.mva.SolverMVA: Creates a new SolverMVA instance with default options.
SolverMVA(Network, Object...) - Constructor for class jline.solvers.mva.SolverMVA: Creates a new SolverMVA instance with variable arguments for options.
SolverMVA(Network, String) - Constructor for class jline.solvers.mva.SolverMVA: Creates a new SolverMVA instance with a specific method.
SolverMVA(Network, SolverOptions) - Constructor for class jline.solvers.mva.SolverMVA: Creates a new SolverMVA instance with specific options.
SolverMVAOIAnalyzer - Class in jline.solvers.mva: Exact mean-value MVA for order-independent (OI) queueing networks.
SolverMVAOIAnalyzer(NetworkStruct, SolverOptions) - Constructor for class jline.solvers.mva.SolverMVAOIAnalyzer
SolverMVAOIAnalyzer.AnalysisResults - Class in jline.solvers.mva
SolverNC - Class in jline.solvers.nc: Solver for Normalizing Constant (NC) method applied to closed queueing networks.
SolverNC(Network) - Constructor for class jline.solvers.nc.SolverNC
SolverNC(Network, Object...) - Constructor for class jline.solvers.nc.SolverNC
SolverNC(Network, String) - Constructor for class jline.solvers.nc.SolverNC
SolverNC(Network, SolverOptions) - Constructor for class jline.solvers.nc.SolverNC
SolverNC.NormalizingConstantResult - Class in jline.solvers.nc
SolverNC.SolverNCJointReturn - Class in jline.solvers.nc
SolverNC.SolverNCLDReturn - Class in jline.solvers.nc
SolverNC.SolverNCMargReturn - Class in jline.solvers.nc
SolverNC.SolverNCReturn - Class in jline.solvers.nc
SolverNCJointReturn(double, double, double, double) - Constructor for class jline.solvers.nc.SolverNC.SolverNCJointReturn
SolverNCLDReturn(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, double, double, int, String) - Constructor for class jline.solvers.nc.SolverNC.SolverNCLDReturn
SolverNCMargReturn(Matrix, double, double, double) - Constructor for class jline.solvers.nc.SolverNC.SolverNCMargReturn
SolverNCReturn(Matrix, Matrix, Matrix, Matrix, int, Matrix, Double, Matrix, int, double, String) - Constructor for class jline.solvers.nc.SolverNC.SolverNCReturn
SolverOptions - Class in jline.solvers: Configuration options for queueing network solvers.
SolverOptions() - Constructor for class jline.solvers.SolverOptions: Creates SolverOptions with default settings.
SolverOptions(SolverType) - Constructor for class jline.solvers.SolverOptions: Creates SolverOptions with defaults customized for a specific solver type.
SolverOptions.Config - Class in jline.solvers: Advanced configuration options for specialized solver features.
SolverOptions.ODESolvers - Class in jline.solvers: Configuration for ordinary differential equation solvers used in fluid analysis.
solverRecommendation - Variable in class jline.api.wf.WorkflowManager.WorkflowAnalysisResult
SolverResult - Class in jline.solvers: Container for storing performance metrics computed by queueing network solvers.
SolverResult() - Constructor for class jline.solvers.SolverResult
solverResults - Variable in class jline.unified.JsonResult
solvers - Variable in class jline.solvers.EnsembleSolver
solverSpecific - Variable in class jline.solvers.ctmc.CTMCResult
SolverSSA - Class in jline.solvers.ssa
SolverSSA(Network) - Constructor for class jline.solvers.ssa.SolverSSA
SolverSSA(Network, Object...) - Constructor for class jline.solvers.ssa.SolverSSA
SolverSSA(Network, String) - Constructor for class jline.solvers.ssa.SolverSSA
SolverSSA(Network, NetworkSolver, Object...) - Constructor for class jline.solvers.ssa.SolverSSA: Creates a new SolverSSA that warm-starts the simulated trajectory from the steady-state solution of an auxiliary solver (see NetworkSolver.initFromSolver(jline.solvers.NetworkSolver)).
SolverSSA(Network, SolverOptions) - Constructor for class jline.solvers.ssa.SolverSSA
SolverSSAResultNRM - Class in jline.solvers.ssa.handlers: Result returned by solver_ssa_nrm.
SolverSSAResultNRM(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, NetworkStruct) - Constructor for class jline.solvers.ssa.handlers.SolverSSAResultNRM
SolverSSAResultNRMSpace(Matrix, Matrix, Matrix, NetworkStruct) - Constructor for class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.SolverSSAResultNRMSpace
SolverTranHandles - Class in jline.solvers
SolverTranHandles(AvgHandle, AvgHandle, AvgHandle) - Constructor for class jline.solvers.SolverTranHandles
solverType() - Static method in class jline.solvers.ag.SolverAG
SolverType - Enum in jline.lang.constant: Constants for specifying a named solver
SolverUQ - Class in jline.solvers.uq: UQ solver for Bayesian-style parameter uncertainty analysis.
SolverUQ(Network, SolverUQ.SolverFactory) - Constructor for class jline.solvers.uq.SolverUQ: Creates a SolverUQ with the given model and solver factory.
SolverUQ(Network, SolverUQ.SolverFactory, SolverOptions) - Constructor for class jline.solvers.uq.SolverUQ: Creates a SolverUQ with solver options.
SolverUQ.EmpiricalCDF - Class in jline.solvers.uq: Empirical CDF representing a discrete posterior distribution.
SolverUQ.Interval - Class in jline.solvers.uq: Interval-valued metrics returned by SolverUQ.getInterval().
SolverUQ.PosteriorTable - Class in jline.solvers.uq: Table containing per-alternative posterior results.
SolverUQ.PosteriorTableRow - Class in jline.solvers.uq: Row in the posterior table.
SolverUQ.PriorInfo - Class in jline.solvers.uq: Information about a detected Prior distribution.
SolverUQ.SolverFactory - Interface in jline.solvers.uq: Functional interface for creating solvers.
solverUsed - Variable in class jline.opt.results.EvaluationResult
solveSafe(Matrix, Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Solves the linear system Ax = b for x, handling singular matrices gracefully.
solveSequential(int, double) - Method in class jline.opt.decomposition.DecompositionWorkflow
solveStatic(DMatrix, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
solveTime - Variable in class jline.opt.results.EvaluationResult
solveTime - Variable in class jline.opt.results.OptimizationResult
sort() - Method in class jline.util.matrix.Matrix: Returns a new matrix with the non-zero values sorted in ascending order.
sort_forks(NetworkStruct, NetworkStruct, Matrix, Matrix, Network) - Static method in class jline.lang.ModelAdapter: Determines a directed acyclic graph of relationships among fork nodes.
sortByNnzPos(List<int[]>) - Static method in class jline.util.Maths: Sorts combinations by number of non-zeros and their positions.
sortedMatrix - Variable in class jline.util.UniqueRowResult
sortEq() - Method in class jline.util.matrix.Matrix: Sorts the matrix values in place following MATLAB semantics: vectors are sorted as a whole (zeros included), matrices are sorted column by column.
source - Variable in class jline.lang.Graph.Edge
source - Variable in class jline.solvers.ctmc.SolverCTMC.FirstPassageMomentsResult
source - Variable in class jline.solvers.ctmc.SolverCTMC.FirstPassageResult
source - Variable in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer.DtModel: Source station index (bernoulli1).
Source - Class in jline.lang.nodes: An abstraction of the external world jobs in open classes come from
Source - Enum constant in enum jline.lang.constant.NodeType: Source node - generates jobs according to arrival process
Source(Network, String) - Constructor for class jline.lang.nodes.Source: Creates a new source node in the specified network.
SOURCE - Enum constant in enum jline.io.ModelVisualizer.NodeType
sourceActivity - Variable in class jline.io.tikz.SequenceDiagramTraverser.Interaction
sourceIdx - Variable in class jline.api.fj.FJInfo
sourceRate - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
sourceTask - Variable in class jline.io.tikz.SequenceDiagramTraverser.Interaction
space - Variable in class jline.lang.NetworkStruct
space - Variable in class jline.lang.state.State.StateSpaceGeneratorResult.QNC
space - Variable in class jline.solvers.ctmc.CTMCResult
space - Variable in class jline.solvers.mam.handlers.Mam_bgchain_ctmc.Result: space[s][i][b]: class-b jobs held by station i in state s.
space - Variable in class jline.solvers.nc.NCResult: Perfect-sampling output of the cftp and cftp.approx methods, null under every other method.
space - Variable in class jline.solvers.ssa.SSAResult: State space matrices for each station in the network
space(NetworkStruct, int, Matrix, Matrix) - Static method in class jline.lang.state.Polling: Append the polling controller columns to the rows of space, which must hold the [buffer, server, routing-variable] layout of a polling station.
space_max - Variable in class jline.solvers.SolverOptions.Config: Maximum state space size
spaceAggr - Variable in class jline.solvers.ctmc.CTMCResult
spaceAggr - Variable in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer.CftpResult: Distinct sampled states.
spaceAggr - Variable in class jline.solvers.nc.NCResult
spaceAggrWork - Variable in class jline.solvers.ctmc.CTMCResult
spaceCachePublic(int, Matrix, int) - Static method in class jline.lang.state.State: Make spaceCache method public Generates cache state space
spaceClosedMulti(int, Matrix) - Static method in class jline.lang.state.State
spaceClosedMultiCS(int, Matrix, Matrix) - Static method in class jline.lang.state.State
spaceClosedMultiCSBounded(int, Matrix, Matrix, Matrix, Set<String>) - Static method in class jline.lang.state.State
spaceClosedSinglePublic(int, int) - Static method in class jline.lang.state.State: Make spaceClosedSingle method public Generates state space for single-class closed networks
spaceGenerator(NetworkStruct, Matrix, SolverOptions) - Static method in class jline.lang.state.State: Generates the state space for a queueing network using a matrix cutoff.
spaceGeneratorNodes(NetworkStruct, Matrix, SolverOptions) - Static method in class jline.lang.state.State
spaceGeneratorNodesResult(Map<StatefulNode, Matrix>, NetworkStruct, Matrix) - Constructor for class jline.lang.state.State.spaceGeneratorNodesResult
spaceHash - Variable in class jline.lang.NetworkStruct
spaceHash - Variable in class jline.lang.state.State.StateSpaceGeneratorResult.QNC
spaceLocalVarsPublic(NetworkStruct, int) - Static method in class jline.lang.state.State: Make spaceLocalVars method public Generates local variable state spaces
spaceLocalVarsPublic(NetworkStruct, int, int) - Static method in class jline.lang.state.State: Make spaceLocalVars method public, at a given delayed-hit truncation level.
spaceWork - Variable in class jline.solvers.ctmc.CTMCResult
span - Variable in class jline.api.cache.Cache_spm_size.Result: gcd of the item sizes, divided out as an exact lattice reduction.
SparseMatrix - Class in jline.util.matrix: Base class for sparse matrix implementations, containing the core data structure and methods that directly manipulate the underlying sparse matrix representation.
SparseMatrix() - Constructor for class jline.util.matrix.SparseMatrix: Protected constructor for delayed initialization.
SparseMatrix(int, int) - Constructor for class jline.util.matrix.SparseMatrix: Constructs an empty sparse matrix with specified dimensions.
SparseMatrix(int, int, int) - Constructor for class jline.util.matrix.SparseMatrix: Constructs a sparse matrix with specified dimensions and initial capacity.
SparseMatrix(SparseMatrix) - Constructor for class jline.util.matrix.SparseMatrix: Copy constructor for creating a new sparse matrix from an existing one.
SparseMatrix(DMatrix) - Constructor for class jline.util.matrix.SparseMatrix: Constructs a sparse matrix by copying an existing EJML sparse matrix.
SPARSIFY_THRESHOLD - Static variable in class jline.util.matrix.Matrix: Fill ratio below which autoFormat() sparsifies a dense-backed result.
spectd(Matrix) - Static method in class jline.lib.kpctoolbox.basic.BasicUtils: Computes the spectral decomposition of a matrix.
spectd(Matrix) - Static method in class jline.util.matrix.Matrix: Computes the spectral decomposition of a matrix A using its eigendecomposition.
SpectralDecomposition - Class in jline.lib.kpctoolbox.basic: Result of spectral decomposition.
SpectralDecomposition(double[], List<Matrix>, Matrix, Matrix) - Constructor for class jline.lib.kpctoolbox.basic.SpectralDecomposition
SpectralDecomposition(Matrix, MatrixCell) - Constructor for class jline.io.Ret.SpectralDecomposition
spectralLowFreqFrac - Variable in class jline.solvers.ldes.LDESOptions: Fraction of lowest frequencies to use for log-periodogram regression in the Heidelberger-Welch spectral method.
spectrum - Variable in class jline.io.Ret.SpectralDecomposition
speedFactor - Variable in class jline.lang.layered.Host
SplineInterpolator - Class in jline.inference.util: Spline interpolation utility using Apache Commons Math3.
splitCommand(String) - Static method in class jline.io.SysUtils: Splits a command line into an argument vector, keeping a double-quoted span together.
spn - Variable in class jline.api.spn.Spn_pf.SpnPfResult
spn - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult: The SPN metadata, when the net route was taken; null otherwise.
spn_basic_closed() - Static method in class jline.examples.java.basic.StochPetriNetExamples
spn_basic_closed() - Static method in class jline.examples.java.basic.StochPetriNetModel: Single-place Petri net with multiple firing modes.
spn_basic_open() - Static method in class jline.examples.java.basic.StochPetriNetExamples: Basic open stochastic Petri net (spn_basic_open.ipynb).
spn_basic_open() - Static method in class jline.examples.java.basic.StochPetriNetModel: Basic open stochastic Petri net with single transition.
spn_closed_fourplaces() - Static method in class jline.examples.java.basic.StochPetriNetExamples: Closed Petri net with four places (spn_closed_fourplaces.ipynb).
spn_closed_fourplaces() - Static method in class jline.examples.java.basic.StochPetriNetModel: Closed stochastic Petri net with diverse service distributions.
spn_closed_twoplaces() - Static method in class jline.examples.java.basic.StochPetriNetExamples: Closed Petri net with two places (spn_closed_twoplaces.ipynb).
spn_closed_twoplaces() - Static method in class jline.examples.java.basic.StochPetriNetModel: Multi-class closed stochastic Petri net.
spn_colored_gspn() - Static method in class jline.examples.java.basic.StochPetriNetExamples: `spn_colored_gspn.m`: a colored generalized stochastic Petri net.
spn_colored_gspn() - Static method in class jline.examples.java.basic.StochPetriNetModel: Colored generalized stochastic Petri net (CGSPN).
spn_conv(long[][], long[], double[][]) - Static method in class jline.api.spn.Spn_conv: The normalising constant by convolution over the invariant load vector.
spn_conv(Spn_sinvariants.SpnInvariants, double[][]) - Static method in class jline.api.spn.Spn_conv: Convolve straight off the invariant basis Spn_sinvariants returned.
Spn_conv - Class in jline.api.spn: Convolution algorithm for the normalising constant of an S-invariant reachable product-form stochastic Petri net.
spn_fluid_dae() - Static method in class jline.examples.java.basic.StochPetriNetExamples: `spn_fluid_dae.m`: fluid (mean-field) analysis of a stochastic Petri net.
spn_fluid_exact() - Static method in class jline.examples.java.basic.StochPetriNetModel: A closed net whose fluid answer is EXACT.
spn_fluid_immediate() - Static method in class jline.examples.java.basic.StochPetriNetModel: P1 -T1-> P2 -(immediate)-> P3 -T3-> P1.
spn_fluid_reduced() - Static method in class jline.examples.java.basic.StochPetriNetModel: StochPetriNetModel.spn_fluid_immediate() with the immediate transition eliminated by hand, which is the answer the algebraic flow must reproduce.
spn_fourmodes() - Static method in class jline.examples.java.basic.StochPetriNetExamples: Competing transitions Petri net (spn_fourmodes.ipynb).
spn_fourmodes() - Static method in class jline.examples.java.basic.StochPetriNetModel: Closed stochastic Petri net with competing transitions.
spn_inhibiting() - Static method in class jline.examples.java.basic.StochPetriNetExamples: Inhibiting transitions Petri net (spn_inhibiting.ipynb).
spn_inhibiting() - Static method in class jline.examples.java.basic.StochPetriNetModel: Closed stochastic Petri net with multiple firing modes and inhibition.
spn_lpbnd(NetworkStruct) - Static method in class jline.api.spn.Spn_lpbnd: Bracket the mean tokens and the throughputs, with the default options.
spn_lpbnd(NetworkStruct, Spn_lpbnd.SpnLpOptions) - Static method in class jline.api.spn.Spn_lpbnd: Bracket the mean tokens and the throughputs of a stochastic Petri net.
Spn_lpbnd - Class in jline.api.spn: Linear-programming bounds on the mean marking and the throughputs of a stochastic timed Petri net.
Spn_lpbnd.SpnLpBounds - Class in jline.api.spn: The brackets, each a 2 x n array with row 0 the minimum.
Spn_lpbnd.SpnLpMode - Class in jline.api.spn: One (transition, mode) pair over place-major levels.
Spn_lpbnd.SpnLpOptions - Class in jline.api.spn: Options of the relaxation.
spn_lpbounds() - Static method in class jline.examples.java.basic.StochPetriNetExamples: `spn_lpbounds.m`: bound a stochastic Petri net by linear programming.
spn_lpbounds_prodline(double[]) - Static method in class jline.examples.java.basic.StochPetriNetModel: Liu (1998) Fig.
spn_mdd(Network) - Static method in class jline.api.spn.Spn_mdd: Translate the net with the default options.
spn_mdd(Network, Spn_mdd.SpnOptions) - Static method in class jline.api.spn.Spn_mdd: Build the reachable set and Kronecker descriptor of a stochastic Petri net.
Spn_mdd - Class in jline.api.spn: Decision-diagram reachable set and Kronecker rate descriptor of a stochastic Petri net, so that Mdd_mcd can analyse it.
Spn_mdd.SpnInfo - Class in jline.api.spn: Everything the caller needs alongside the descriptor.
Spn_mdd.SpnMode - Class in jline.api.spn: One (transition, mode) pair of the net, in level coordinates.
Spn_mdd.SpnOptions - Class in jline.api.spn: Options of the translation.
Spn_mdd.SpnResult - Class in jline.api.spn: Descriptor, diagram and metadata returned together.
spn_metrics(MddStruct, double[][], Spn_mdd.SpnInfo) - Static method in class jline.api.spn.Spn_metrics: Every measure of Sec.
Spn_metrics - Class in jline.api.spn: Stationary measures of a product-form stochastic Petri net from the MDD-rec masses.
Spn_metrics.SpnMetricsResult - Class in jline.api.spn: The stationary measures of Sec.
spn_nrm_mm1(double, double) - Static method in class jline.examples.java.basic.StochPetriNetModel: An M/M/1 queue written as an OPEN Petri net: a Source Exp(lambda) feeds place P1, whose tokens drain through a single-server Transition Exp(mu) to a Sink.
spn_nrm_tandem(double, double, double) - Static method in class jline.examples.java.basic.StochPetriNetModel: The open tandem of StochPetriNetModel.spn_nrm_mm1(double, double): two places in series, each an M/M/1 queue at its own rate.
spn_open_sevenplaces() - Static method in class jline.examples.java.basic.StochPetriNetExamples: Open Petri net with seven places (spn_open_sevenplaces.ipynb).
spn_open_sevenplaces() - Static method in class jline.examples.java.basic.StochPetriNetModel: Complex open stochastic Petri net with immediate transitions.
spn_pareto_service() - Static method in class jline.examples.java.basic.StochPetriNetExamples: Pareto-distributed transition firing (spn_pareto_service.ipynb).
spn_pareto_service() - Static method in class jline.examples.java.basic.StochPetriNetModel: Open stochastic Petri net with Pareto service time.
spn_pf(Network) - Static method in class jline.api.spn.Spn_pf: Derive the product form with the default options.
spn_pf(Network, Spn_pf.SpnPfOptions) - Static method in class jline.api.spn.Spn_pf: Derive the product form of a stochastic Petri net.
Spn_pf - Class in jline.api.spn: Product form of a stochastic Petri net: decide whether one exists and derive the per-level factors g_l that Mdd_rec and Spn_metrics take as input.
Spn_pf.SpnPfOptions - Class in jline.api.spn: Options of the product-form derivation.
Spn_pf.SpnPfResult - Class in jline.api.spn: The product form, and the certificate that it is one.
spn_productform_cyclic() - Static method in class jline.examples.java.basic.StochPetriNetModel: A product-form net solved ANALYTICALLY, and one that no queueing network expresses.
spn_productform_forkjoin() - Static method in class jline.examples.java.basic.StochPetriNetModel: P0 -(Tf)-> P1 + P2 -(Tj)-> P3 -(Tb)-> P0.
spn_productform_nc() - Static method in class jline.examples.java.basic.StochPetriNetExamples: `spn_productform_nc.m`: solve a stochastic Petri net analytically with NC.
spn_queueing_place() - Static method in class jline.examples.java.basic.StochPetriNetExamples: `spn_queueing_place.m`: a closed queueing Petri net (QPN) with two queueing places.
spn_queueing_place(int) - Static method in class jline.examples.java.basic.StochPetriNetModel: Closed queueing Petri net with two queueing places.
spn_queueing_place_ref(int) - Static method in class jline.examples.java.basic.StochPetriNetModel: The finite-population Delay + M/M/1 network the queueing Petri net of StochPetriNetModel.spn_queueing_place(int) is equivalent to.
spn_rec_enabled(MddStruct, double[][], Spn_mdd.SpnMode, int) - Static method in class jline.api.spn.Spn_rec_enabled: Enabling-degree masses of one mode over the reachable set in mdds.
Spn_rec_enabled - Class in jline.api.spn: Enabling-degree distribution of one mode of a product-form stochastic Petri net, by the masked MDD-rec recursion.
Spn_rec_enabled.SpnEnabling - Class in jline.api.spn: Unnormalised enabling-degree masses of one mode.
spn_sinvariants(NetworkStruct) - Static method in class jline.api.spn.Spn_sinvariants: Minimal-support S-invariants with the marking taken from the model.
spn_sinvariants(NetworkStruct, double[]) - Static method in class jline.api.spn.Spn_sinvariants: Minimal-support S-invariants and the load vector of a net.
Spn_sinvariants - Class in jline.api.spn: Minimal-support S-invariants (P-invariants) of a stochastic Petri net, and the load vector V = S m0.
Spn_sinvariants.SpnInvariants - Class in jline.api.spn: The invariant basis of a net, in place-level coordinates.
spn_twomodes() - Static method in class jline.examples.java.basic.StochPetriNetExamples: Batch processing Petri net (spn_twomodes.ipynb).
spn_twomodes() - Static method in class jline.examples.java.basic.StochPetriNetModel: Closed stochastic Petri net with batch processing.
SpnEnabling() - Constructor for class jline.api.spn.Spn_rec_enabled.SpnEnabling
SpnInfo() - Constructor for class jline.api.spn.Spn_mdd.SpnInfo
SpnInvariants() - Constructor for class jline.api.spn.Spn_sinvariants.SpnInvariants
SpnLpBounds() - Constructor for class jline.api.spn.Spn_lpbnd.SpnLpBounds
SpnLpMode() - Constructor for class jline.api.spn.Spn_lpbnd.SpnLpMode
SpnLpOptions() - Constructor for class jline.api.spn.Spn_lpbnd.SpnLpOptions
SpnMetricsResult() - Constructor for class jline.api.spn.Spn_metrics.SpnMetricsResult
SpnMode() - Constructor for class jline.api.spn.Spn_mdd.SpnMode
SPNode() - Constructor for class jline.lang.workflow.Workflow.SPNode
SpnOptions() - Constructor for class jline.api.spn.Spn_mdd.SpnOptions
spnpf - Variable in class jline.solvers.nc.NCResult: Product-form certificate of a Petri net, set by Solver_nc_spn_analyzer.
SpnPfOptions() - Constructor for class jline.api.spn.Spn_pf.SpnPfOptions
SpnPfResult() - Constructor for class jline.api.spn.Spn_pf.SpnPfResult
SpnResult() - Constructor for class jline.api.spn.Spn_mdd.SpnResult
sprod(int, Matrix) - Static method in class jline.util.PopulationLattice
sprod(Matrix, Matrix, MatrixCell) - Static method in class jline.util.PopulationLattice
sprodResult(Matrix, Matrix, Matrix, MatrixCell) - Constructor for class jline.util.PopulationLattice.sprodResult
SPTree() - Constructor for class jline.lang.workflow.Workflow.SPTree
SQ - Enum constant in enum jline.lang.constant.RoutingStrategy: KCHOICES is now SQ: shortest queue of d, SQ(d)
sqrt() - Method in class jline.util.matrix.Matrix: Computes the element-wise square root of the matrix.
square() - Method in class jline.util.matrix.Matrix: Computes the matrix multiplied by itself.
squaredDifference(double[], double[]) - Static method in class jline.lib.butools.fitting.SquaredDifference: Returns the squared difference between two vectors.
SquaredDifference - Class in jline.lib.butools.fitting
srank - Variable in class jline.api.spn.Spn_pf.SpnPfResult
srcNode - Variable in class jline.lang.nodes.Cache.RetrievalRoutingEntry
SRKResult - Class in jline.lib.fjcodes: Result of constructSRK.
SRKResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.lib.fjcodes.SRKResult
SRPT - Enum constant in enum jline.lang.constant.SchedStrategy: Shortest Remaining Processing Time - preemptive scheduling based on remaining service time
SRPTPRIO - Enum constant in enum jline.lang.constant.SchedStrategy: Shortest Remaining Processing Time with Priority - SRPT within priority levels
srv - Variable in class jline.api.spn.Spn_mdd.SpnMode
srv - Variable in class jline.solvers.ba.analyzers.Solver_ba_snc_analyzer.Envelopes: Service envelope of the same pairs, cross traffic already removed.
SRVNSolverFactory() - Constructor for class jline.bench.lqn.BenchLQN_SRVN.SRVNSolverFactory
SS - Variable in class jline.api.sym.SymEngine.Sensitivity: Scaled sensitivity (theta/E[r]) d(E[r])/dtheta, Eq.
SS - Variable in class jline.lang.state.State.StateSpaceGeneratorResult
SS - Variable in class jline.solvers.ctmc.SolverCTMC.sensitivityResult: Scaled sensitivity (theta/E[r]) d(E[r])/dtheta, null when no reward was given
SS - Variable in class jline.solvers.SolverResult: Steady-state probability distribution
SSA - Class in jline.solvers.ssa: SSA is an alias for SolverSSA (Stochastic State-space Analysis solver).
SSA - Enum constant in enum jline.lang.constant.SolverType
SSA(Network) - Constructor for class jline.solvers.ssa.SSA
SSA(Network, Object...) - Constructor for class jline.solvers.ssa.SSA
SSA(Network, String) - Constructor for class jline.solvers.ssa.SSA
SSA(Network, SolverOptions) - Constructor for class jline.solvers.ssa.SSA
SSAMetricPoint - Class in jline.streaming: Internal representation of a metric point from SSA simulation.
SSAMetricPoint(String, double, long, Map<String, String>) - Constructor for class jline.streaming.SSAMetricPoint: Create a new metric point.
SSAOptions - Class in jline.solvers.ssa: Configuration options for Stochastic Simulation Algorithm (SSA) solver.
SSAOptions() - Constructor for class jline.solvers.ssa.SSAOptions: Constructs a new SSAOptions instance with default SSA solver configuration.
SSAResult - Class in jline.solvers.ssa: Result container for Stochastic Simulation Algorithm (SSA) solver computations.
SSAResult() - Constructor for class jline.solvers.ssa.SSAResult: Constructs an empty SSAResult to allow field population from different sources.
SSAResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Map<Integer, Matrix>, Matrix, NetworkStruct) - Constructor for class jline.solvers.ssa.SSAResult: Constructs an SSAResult with the specified performance metrics and state information.
SSAValues - Class in jline.solvers.ssa
SSAValues(Matrix, Matrix, Map<Integer, Matrix>, Map<Integer, Matrix>, Map<Integer, Matrix>, Map<Integer, Matrix>, Matrix, NetworkStruct) - Constructor for class jline.solvers.ssa.SSAValues
SSAValues(Matrix, Matrix, Map<Integer, Matrix>, Map<Integer, Matrix>, Map<Integer, Matrix>, Matrix, NetworkStruct) - Constructor for class jline.solvers.ssa.SSAValues
SSh - Variable in class jline.io.Ret.reachableSpaceGeneratorResult
SSh - Variable in class jline.lang.state.State.StateSpaceGeneratorResult
SSnode_a - Variable in class jline.solvers.wrappers.jmt.JMTResult.TransientProbabilityResult
SSq - Variable in class jline.io.Ret.reachableSpaceGeneratorResult
SSq - Variable in class jline.solvers.ssa.SSAValues
sT() - Method in class jline.solvers.NetworkSolver
sT(String, double, String) - Method in class jline.solvers.NetworkSolver
ST - Variable in class jline.io.Ret.npfqnNonexpApprox
ST - Variable in class jline.lang.state.State.StateSpaceGeneratorResult
ST - Variable in class jline.lib.fjcodes.FJService
stable - Variable in class jline.solvers.fluid.moments.FluidLyapunov.Result
staffing - Variable in class jline.api.qsys.QsysTvFluidResult: The staffing on the grid.
STAGE - Enum constant in enum jline.lang.constant.EventType
stageEventFilt - Variable in class jline.solvers.env.SolverENV.EnvGeneratorResult
stageEvents - Variable in class jline.solvers.env.SolverENV.EnvGeneratorResult
stageIndex - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
stageInfGen - Variable in class jline.solvers.env.SolverENV.EnvGeneratorResult
stageName - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
stageT() - Method in class jline.solvers.NetworkSolver
stageTable() - Method in class jline.solvers.NetworkSolver
staging - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Mass held OUTSIDE a capped region, per staging coordinate.
stagingClass - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Class each staging coordinate carries.
stagingRegion - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: Region each staging coordinate belongs to.
start() - Method in class jline.io.REPL: Start the REPL
start() - Method in class jline.streaming.MockOtlpReceiver: Starts the mock receiver.
START - Enum constant in enum jline.lang.constant.EventType: A job begins, or resumes, holding a server at a station.
starter(UnivariateFunction, double, double) - Static method in class jline.lib.lti.customromberg
startFilt - Variable in class jline.solvers.ctmc.CTMCResult: Derived START/PREEMPT filtrations, indexed [station][class].
startFilt - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult: The filtrations those rates reduce, indexed [station][class].
startLevel - Variable in class jline.io.tikz.SequenceDiagramTraverser.Fragment
StartN - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult: Derived START/PREEMPT rates, (stations x classes): how often per unit time a class-r service starts at station i, and how often a class-r job in service is pushed back into the buffer there.
StartN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM: Derived START rate [stations x classes]: counts of service starts over the simulated time.
startOf(int, int) - Method in class jline.io.Ret.EventResult: START count of one successor row and class, zero when the arc carries no annotation.
starTopology(int) - Static method in class jline.examples.NetworkGeneratorExample: Custom topology function - creates a star topology where node 0 is connected to all other nodes
startRate - Variable in class jline.solvers.ctmc.CTMCResult: (stations x classes) rates the two filtrations above reduce to.
startRate - Variable in class jline.solvers.ssa.SSAResult: Derived START rate [stations x classes]: how often per unit time a class-r job begins, or resumes, holding a server at station i.
startRates - Variable in class jline.solvers.ssa.SSAValues: Derived START rates per unique state, laid out like arvRates/depRates: how fast the transitions enabled in that state start a class-r service at a stateful node.
startTime - Variable in class jline.lang.nodeparam.LoggerNodeParam: Whether to log simulation start time as reference
STARTUP_TIMEOUT_SECONDS - Static variable in class jline.api.sym.SymEngines: Seconds to wait for a container to report healthy.
stat(Matrix) - Static method in class jline.lib.smc.Stat
Stat - Class in jline.lib.smc
state - Variable in class jline.io.Ret.ProbabilityResult: The state specification for which the probability was computed.
state - Variable in class jline.io.Ret.SampleResult: State trajectory.
state - Variable in class jline.lang.Event
state - Variable in class jline.lang.ModeEvent
state - Variable in class jline.lang.NetworkStruct
state - Variable in class jline.lang.nodes.Node
state - Variable in class jline.lang.sections.CSFunInput: Optional state matrix
state - Variable in class jline.solvers.ctmc.SolverCTMC.SampleResult
state - Variable in class jline.solvers.ctmc.SolverCTMC.SampleSysResult
state - Variable in class jline.solvers.fj.FJFixedPoint.FJOutcome
state - Variable in class jline.solvers.ssa.SampleNodeState: State information at each time point
state - Variable in class jline.solvers.ssa.SampleSysState: State information for each stateful node at each time point
State - Class in jline.lang.state: Class modeling the state of Stateful nodes
State(Map<StatefulNode, Matrix>, Map<StatefulNode, Matrix>, Map<StatefulNode, Matrix>) - Constructor for class jline.lang.state.State
state_space_gen - Variable in class jline.solvers.SolverOptions.Config: State space generation strategy
State.EventHandleResult - Class in jline.lang.state: Result class for event handling methods
State.spaceGeneratorNodesResult - Class in jline.lang.state
State.StateMarginalStatistics - Class in jline.lang.state
State.StateSpaceGeneratorResult - Class in jline.lang.state
State.StateSpaceGeneratorResult.QNC - Class in jline.lang.state
stateClass - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
statedep - Variable in class jline.lang.sections.CSFunInput: Optional state-dependent matrix
StateDepRouting - Class in jline.lang: Topology and coefficients of the product-form state-dependent routing of Krzesinski (1987), "Multiclass Queueing Networks with State-Dependent Routing", Performance Evaluation 7(2):125-143, the multiclass generalization of Towsley (1980), J.
StateDepRouting() - Constructor for class jline.lang.StateDepRouting
StateDepRoutingExample - Class in jline.examples.java.advanced: Product-form state-dependent routing, Krzesinski (1987), Perform.
StateDepRoutingExample() - Constructor for class jline.examples.java.advanced.StateDepRoutingExample
StateDepRoutingExamples - Class in jline.examples.java.advanced: Examples demonstrating state-dependent routing in queueing networks.
StateDepRoutingExamples() - Constructor for class jline.examples.java.advanced.StateDepRoutingExamples
StateDepRoutingModel - Class in jline.examples.java.advanced: Examples of models with state-dependent routing
StateDepRoutingModel() - Constructor for class jline.examples.java.advanced.StateDepRoutingModel
stateful - Variable in class jline.lang.NetworkStruct
StatefulClassSwitcher - Class in jline.lang.sections: A class switcher that depends on its local state
StatefulClassSwitcher(List<JobClass>) - Constructor for class jline.lang.sections.StatefulClassSwitcher
StatefulClassSwitcher(List<JobClass>, String) - Constructor for class jline.lang.sections.StatefulClassSwitcher
StatefulFork - Class in jline.lang.nodes: A stateful Fork used only on FJ tag-augmented model copies (see ModelAdapter.fjtag).
StatefulFork(Network, String) - Constructor for class jline.lang.nodes.StatefulFork
statefulIdx - Variable in class jline.lang.nodes.Node
StatefulNode - Class in jline.lang.nodes: A node that can have a state
StatefulNode(String) - Constructor for class jline.lang.nodes.StatefulNode
statefulToNode - Variable in class jline.lang.NetworkStruct
statefulToStation - Variable in class jline.lang.NetworkStruct
stateHistogramSpace - Variable in class jline.solvers.ldes.LDESResult: Exact joint-state residence-time histogram (populated when LDESOptions.exportStateHistogram is set).
stateHistogramTime - Variable in class jline.solvers.ldes.LDESResult: Residence time per state in LDESResult.stateHistogramSpace (column vector).
StatelessClassSwitcher - Class in jline.lang.sections: A class switcher that does not have a local state
StatelessClassSwitcher(List<JobClass>, Matrix) - Constructor for class jline.lang.sections.StatelessClassSwitcher
stateMap - Variable in class jline.solvers.fluid.handlers.ImmediateElimination.EliminationResult
StateMarginalStatistics(Matrix, Matrix, Matrix, List<Matrix>) - Constructor for class jline.lang.state.State.StateMarginalStatistics
statePhase - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
statepr_aggr() - Static method in class jline.examples.java.advanced.StateProbabilitiesExamples: Demonstrates aggregated state probabilities (statepr_aggr.ipynb).
statepr_aggr() - Static method in class jline.examples.java.advanced.StateProbabilitiesModel: Basic closed network for state probability analysis.
statepr_aggr_large() - Static method in class jline.examples.java.advanced.StateProbabilitiesExamples: Demonstrates aggregated state probabilities for large systems (statepr_aggr_large.ipynb).
statepr_aggr_large() - Static method in class jline.examples.java.advanced.StateProbabilitiesModel: Four-class closed network with matrix-based routing.
statepr_allprobs_fcfs() - Static method in class jline.examples.java.advanced.StateProbabilitiesExamples: Demonstrates all state probabilities for FCFS queues (statepr_allprobs_fcfs.ipynb).
statepr_allprobs_fcfs() - Static method in class jline.examples.java.advanced.StateProbabilitiesModel: Mixed scheduling network with class switching.
statepr_allprobs_ps() - Static method in class jline.examples.java.advanced.StateProbabilitiesExamples: Demonstrates all state probabilities for PS queues (statepr_allprobs_ps.ipynb).
statepr_allprobs_ps() - Static method in class jline.examples.java.advanced.StateProbabilitiesModel: Two-class network with bidirectional class switching.
statepr_sys_aggr() - Static method in class jline.examples.java.advanced.StateProbabilitiesExamples: Demonstrates system-wide aggregated state probabilities (statepr_sys_aggr.ipynb).
statepr_sys_aggr() - Static method in class jline.examples.java.advanced.StateProbabilitiesModel: Complex four-class network with class switching.
statepr_sys_aggr_large() - Static method in class jline.examples.java.advanced.StateProbabilitiesExamples: Demonstrates system-wide aggregated probabilities for large systems (statepr_sys_aggr_large.ipynb).
statepr_sys_aggr_large() - Static method in class jline.examples.java.advanced.StateProbabilitiesModel: Three-queue network with symmetric class populations.
statepr_sys_marg() - Static method in class jline.examples.java.advanced.StateProbSysMargExample: Joint probability of the per-station total queue lengths (statepr_sys_marg.m).
stateprAggr() - Static method in class jline.examples.parity.StateProbTwins: statepr_aggr.py: the marginal aggregate probability of one station, by the exact chain and by the normalizing constants.
stateprAggrLarge() - Static method in class jline.examples.parity.StateProbTwins: statepr_aggr_large.py: the same query on a four-class model whose class switches all happen at Queue2.
stateprior - Variable in class jline.lang.NetworkStruct
StateProbabilitiesExamples - Class in jline.examples.java.advanced: Examples demonstrating state probability computations in queueing networks.
StateProbabilitiesExamples() - Constructor for class jline.examples.java.advanced.StateProbabilitiesExamples
StateProbabilitiesModel - Class in jline.examples.java.advanced: Examples of state probability computations
StateProbabilitiesModel() - Constructor for class jline.examples.java.advanced.StateProbabilitiesModel
StateProbSysMargExample - Class in jline.examples.java.advanced: Joint probability of the per-station TOTAL queue lengths, all classes summed out, from SolverNC.getProbSysMarg(Matrix).
StateProbSysMargExample() - Constructor for class jline.examples.java.advanced.StateProbSysMargExample
StateProbTwins - Class in jline.examples.parity: python/examples/advanced/stateProbabilities/: the four state-probability queries, getProbAggr, getProb, getProbSysAggr and getProbSys.
states - Variable in class jline.api.fj.FJ_parallel.FJTsmCapacityResult
states - Variable in class jline.api.mdd.MddClosedQnResult: |S| x M occupancy states, in MDD index order.
states - Variable in class jline.io.Ret.ctmcSimulation
states - Variable in class jline.io.Ret.pfqnDAC
states - Variable in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.NrmSpaceResult
stateSize - Variable in class jline.inference.api.Infer_fluid_ps_rt_likelihood.FluidPsRtResult
stateSpace - Variable in class jline.api.mc.CtmcSsgReachabilityResult
stateSpace - Variable in class jline.lang.processes.MarkovChain
stateSpace - Variable in class jline.lang.processes.MarkovProcess
stateSpace - Variable in class jline.solvers.ctmc.CTMCResult.TranProbResult
stateSpace - Variable in class jline.solvers.ctmc.CTMCResult.TranProbSysResult
stateSpace - Variable in class jline.solvers.ctmc.handlers.Solver_ctmc_fcr_waitq.Result
stateSpace - Variable in class jline.solvers.ctmc.ResultCTMC
stateSpace - Variable in class jline.solvers.ctmc.SolverCTMC.StateSpace
stateSpace - Variable in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult
stateSpace() - Method in class jline.solvers.ctmc.SolverCTMC: Alias of SolverCTMC.getStateSpace().
StateSpace - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
StateSpace - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
StateSpace(Matrix, MatrixCell) - Constructor for class jline.solvers.ctmc.SolverCTMC.StateSpace
stateSpaceAggr - Variable in class jline.api.mc.CtmcSsgReachabilityResult
stateSpaceAggr - Variable in class jline.solvers.ctmc.CTMCResult.TranProbSysAggrResult
stateSpaceAggr - Variable in class jline.solvers.ctmc.handlers.Solver_ctmc_fcr_waitq.Result
StateSpaceAggr - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
StateSpaceAggr - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
StateSpaceAggrWork - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult: Stationary distribution the analyzer solved for, and the generator and state spaces it is indexed by.
StateSpaceGeneratorResult(Matrix, Matrix, NetworkStruct) - Constructor for class jline.lang.state.State.StateSpaceGeneratorResult
stateSpaceHashed - Variable in class jline.api.mc.CtmcSsgReachabilityResult
stateSpaceHashed - Variable in class jline.solvers.ctmc.handlers.Solver_ctmc_fcr_waitq.Result
stateSpaceLogSize(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ctmc.MemoryGuard: Worst-case log-size of the CTMC state space induced by sn: stars-and-bars job placements per class over the stations that keep no ordered buffer (open classes truncated at the cutoff), times the class-sequence multiplicity of every order-preserving buffer, times the service-phase multiplicity at each station, times one routing pointer per (node,class) doing RROBIN or WRROBIN.
StateSpaceWork - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult: Stationary distribution the analyzer solved for, and the generator and state spaces it is indexed by.
stateStation - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
stateTrajectorySpace - Variable in class jline.solvers.ldes.LDESResult: Integer joint-state trajectory (one aggregated state per row, same layout as LDESResult.stateHistogramSpace) sampled along the simulated path, downsampled to a bounded number of points.
stateTrajectoryTime - Variable in class jline.solvers.ldes.LDESResult: Time points associated with LDESResult.stateTrajectorySpace (column vector).
stateVariables(FluidODEsExporter.SymODEs) - Static method in class jline.solvers.fluid.FluidODEsExporter: State variable names of the exported drift, x1 ...
station - Variable in class jline.api.pfqn.mva.Pfqn_mvasjn.Profile: Station index within the rows of L.
station - Variable in class jline.api.pfqn.sens.Pfqn_hst.Result: Station index analysed (0-based).
station - Variable in class jline.lang.Metric
station - Variable in class jline.lang.Network.BindingCapacity
station - Variable in class jline.solvers.fluid.handlers.FluidRateMultiplier.NhppEntry
station - Variable in class jline.solvers.fluid.handlers.FluidRateMultiplier.RateEntry
station - Variable in class jline.solvers.nc.analyzers.Solver_nc_dt_analyzer.DtModel: Queueing station index (bernoulli1).
station - Variable in class jline.solvers.uq.SolverUQ.PosteriorTableRow
Station - Class in jline.lang.nodes: A node where jobs can spend time stationing there
Station(String) - Constructor for class jline.lang.nodes.Station: Creates a new station with the specified name.
stationary(Matrix, int, int, int[]) - Static method in class jline.solvers.ag.AgAgent: Agent k's stationary vector from the QBD shape carried explicitly, for a worker that holds the agent's layout without holding the whole model.
stationary(Matrix, RCATModel, int) - Static method in class jline.solvers.ag.AgAgent: Agent k's stationary vector, given its generator.
stationaryDistr(LevelDependentFluidSolution, double[], String, double[]) - Static method in class jline.lib.butools.mam.LevelDependentFluidStationary: Stationary distribution ('pdf','pdfd','cdf','cdfm') at the requested points.
stationaryMean(LevelDependentFluidSolution, double[]) - Static method in class jline.lib.butools.mam.LevelDependentFluidStationary: Stationary mean fluid level E[X] (closed form).
stationBlock - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: State coordinates of each station.
stationBlock - Variable in class jline.solvers.fluid.analyzers.MinNormalAnalyzer: State coordinates of each station, i.e.
stationBlock - Variable in class jline.solvers.fluid.moments.FluidMomentTerms: State coordinates of each station, and of each (station, class).
stationIdx - Variable in class jline.lang.nodes.Node
stationIdxOf(int, int) - Method in class jline.solvers.ln.SolverLN: Station index (1-based) of ELEMIDX inside layer E, falling back to the layer's own server when ELEMIDX is not a server there.
stationIdxOfClass(int, int) - Method in class jline.solvers.ln.SolverLN: Station of layer E that class C (0-based) is served at: the processor of an activity, the called task of a call, the layer's server otherwise.
stationIndexMap - Variable in class jline.lang.Chain
stationNames - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
StationReplicas - Class in jline.opt.variables: Optimize the number of identical copies (replicas) of a station.
StationReplicas(Station, int, int) - Constructor for class jline.opt.variables.StationReplicas
StationReplicas(Station, int, int, String) - Constructor for class jline.opt.variables.StationReplicas
StationResult() - Constructor for class jline.solvers.mam.handlers.Mam_bgchain_station.StationResult
stations - Variable in class jline.lang.Chain
stations - Variable in class jline.lang.NetworkStruct
stationSubset - Variable in class jline.api.fes.FESDeaggInfo
stationToNode - Variable in class jline.lang.NetworkStruct
stationToStateful - Variable in class jline.lang.NetworkStruct
stationType - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
statistic - Variable in class jline.api.sim.HypothesisTestResult: The test statistic.
statistics - Variable in class jline.api.wf.Wf_analyzer.WorkflowAnalysis
stats - Variable in class jline.api.mdd.MddClosedQnResult: MDD storage statistics of the reachable set.
stats() - Method in class jline.api.mdd.MDD: Storage description of the current set; only reachable nodes are counted.
status - Variable in class jline.api.fes.FesMapAggregateResult: Fit status at each population, see Map2_fit_idc.
status - Variable in class jline.io.Ret.mamMAPFitIdcReturn
status - Variable in class jline.unified.JsonResult
STATUS_E3_AUTO - Static variable in class jline.api.mam.Map2_fit_idc: Third moment selected automatically by map2_fit.
STATUS_E3_CLAMPED - Static variable in class jline.api.mam.Map2_fit_idc: Third moment clamped to its feasible lower limit.
STATUS_EXACT - Static variable in class jline.api.mam.Map2_fit_idc: Exact fit of the four descriptors.
STATUS_EXPONENTIAL - Static variable in class jline.api.mam.Map2_fit_idc: Burstiness not representable, an exponential was returned.
STATUS_FAILED - Static variable in class jline.api.mam.Map2_fit_idc: Fit failed, an exponential was returned.
STchain - Variable in class jline.io.Ret.snGetDemands
STchain - Variable in class jline.lang.ModelAdapter.DeaggInfo
STD - Enum constant in enum jline.lang.constant.JoinStrategy
STD - Enum constant in enum jline.VerboseLevel: Standard output level with essential messages
STeff - Variable in class jline.solvers.nc.NCResult
STeff - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
step - Variable in class jline.solvers.ctmc.SolverCTMC.SensitivityParameter: Central-difference step; non-positive takes max(|value|, 1) * 1e-6
step(String, Object...) - Static method in class jline.io.LineConsole: Write one progress line.
STEP_SAFETY - Static variable in class jline.api.fes.Fes_map_moments: Fraction of the uniformization bound used as integration step.
StepCDF(double[], double[]) - Constructor for class jline.api.fj.FJ_quorum.StepCDF
steps - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: Number of birth steps K+1 actually taken.
stepsize - Variable in class jline.solvers.fluid.moments.FluidRefineMeanfield.Result: Step used by the second difference.
StepStopCondition - Interface in odesolver: A per-accepted-step stopping test for LSODA.
stiff - Variable in class jline.solvers.SolverOptions: Use stiff ODE solvers for numerical integration
stiffIntegratorFor(double, double, double, boolean) - Method in class jline.solvers.SolverOptions.ODESolvers: The stiff integrator to use over [t0,t1].
stirlingRemainder(double) - Static method in class jline.api.pfqn.nc.Pfqn_bkt: The Stirling remainder s(N) = log(N!) - (N log N - N + log(2 pi N)/2), exactly, for N >= 1.
stk - Variable in class jline.util.graph.DirectedGraph.SCCAuxResult
stochAvg - Variable in class jline.solvers.ln.SolverLN
stochAvgCount - Variable in class jline.solvers.ln.SolverLN
stochCol - Variable in class jline.solvers.fluid.petri.PetriTerms: The DIFFUSION counts the stochastic events only: an immediate flow and a server latch are both the limit of an infinitely fast mechanism whose fluctuation is slaved, not a Poisson stream with an intensity.
stochComp(List<Double>) - Method in class jline.lang.processes.MarkovProcess: Stochastic complement of a subset of states.
stochComp(List<Integer>) - Method in class jline.lang.processes.MarkovChain: Stochastic complement of a subset of states.
stochCompComplement - Variable in class jline.api.fes.FESDeaggInfo
stochCompFull(List<Double>) - Method in class jline.lang.processes.MarkovProcess: Stochastic complement of a subset of states together with the blocks of the generator partitioned by I and its complement, and the return-path term T = Q12*inv(-Q22)*Q21, so that S = Q11 + T.
stochCompFull(List<Integer>) - Method in class jline.lang.processes.MarkovChain: Stochastic complement of a subset of states together with the four blocks of the transition matrix partitioned by I and its complement.
StochCompResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.solvers.ctmc.SolverCTMC.StochCompResult
stochCompSubset - Variable in class jline.api.fes.FESDeaggInfo
stochiter - Variable in class jline.solvers.SolverOptions.Config: Stochastic iteration mode for SolverLN when one or more layer solvers return noisy estimates (simulation or Monte Carlo).
stochiter_a0 - Variable in class jline.solvers.SolverOptions.Config: Robbins-Monro initial step a0 applied after burn-in.
stochiter_alpha - Variable in class jline.solvers.SolverOptions.Config: Robbins-Monro step decay exponent alpha in (0.5,1].
stochiter_burnin - Variable in class jline.solvers.SolverOptions.Config: Picard burn-in iterations before the Robbins-Monro step decay starts.
stochiter_conseq - Variable in class jline.solvers.SolverOptions.Config: Consecutive sub-tolerance iterations of the averaged-iterate drift required to stop.
stochiterAuto - Variable in class jline.solvers.ln.SolverLN
stochiterMode - Variable in class jline.solvers.ln.SolverLN
stochiterStart - Variable in class jline.solvers.ln.SolverLN
stochlayers - Variable in class jline.solvers.ln.SolverLN
StochPetriNetExamples - Class in jline.examples.java.basic: Stochastic Petri net examples mirroring the example notebooks in stochPetriNet.
StochPetriNetExamples() - Constructor for class jline.examples.java.basic.StochPetriNetExamples
StochPetriNetModel - Class in jline.examples.java.basic: Examples of stochastic Petri net models
StochPetriNetModel() - Constructor for class jline.examples.java.basic.StochPetriNetModel
stochResidtAvg - Variable in class jline.solvers.ln.SolverLN
stochServtAvg - Variable in class jline.solvers.ln.SolverLN
stop() - Method in class jline.streaming.MockOtlpReceiver: Stops the mock receiver gracefully.
stop(double, double[]) - Method in interface odesolver.StepStopCondition
stopContainer() - Static method in class jline.api.sym.SymEngines: Stops the container started by this JVM, if any.
stoppingReason - Variable in class jline.solvers.ldes.LDESResult: Stopping reason: "convergence", "max_events" (service-completion budget, options.samples/events, reached), "max_sim_events" (all-event cap, LDESOptions.maxSimEvents, reached), or "max_time" (wall-clock budget).
Storage - Class in jline.lang.sections: Input buffer of a Place in a Stochatic Petri net model
Storage(List<JobClass>) - Constructor for class jline.lang.sections.Storage
strategy - Variable in class jline.lang.layered.Activity.CallGroup
strategy - Variable in class jline.lang.layered.LayeredNetworkStruct.CallGroupStruct
strategy - Variable in class jline.opt.solver.LineOptSolverOptions
strategy(String) - Static method in class jline.solvers.tr.TransformMethod: The strategy implementing a canonical method name, or null for TransformMethod.NONE.
stream(Node, Integer, StreamingOptions) - Method in class jline.solvers.ssa.SolverSSA: Sample node state with real-time streaming to OTLP receiver.
stream(Node, StreamingOptions) - Method in class jline.solvers.ssa.SolverSSA: Sample node state with real-time streaming to OTLP receiver.
stream(StatefulNode, int, StreamingOptions) - Method in class jline.solvers.ldes.SolverLDES: Generates a sample path with streaming metrics pushed via OTLP.
stream(StatefulNode, StreamingOptions) - Method in class jline.solvers.ldes.SolverLDES: Generates a sample path with streaming metrics pushed via OTLP.
streamAggr(Node, Integer, StreamingOptions) - Method in class jline.solvers.ssa.SolverSSA: Sample aggregated node state with real-time streaming to OTLP receiver.
streamAggr(Node, StreamingOptions) - Method in class jline.solvers.ssa.SolverSSA: Sample aggregated node state with real-time streaming to OTLP receiver.
streamAggr(StatefulNode, int, StreamingOptions) - Method in class jline.solvers.ldes.SolverLDES: Generates an aggregated sample path with streaming metrics pushed via OTLP.
streamAggr(StatefulNode, StreamingOptions) - Method in class jline.solvers.ldes.SolverLDES: Generates an aggregated sample path with streaming metrics pushed via OTLP.
StreamingOptions - Class in jline.streaming: Configuration options for SSA streaming to metrics receiver.
StreamingOptions() - Constructor for class jline.streaming.StreamingOptions: Default constructor with default settings.
StreamingOptions.StreamMode - Enum in jline.streaming: Streaming mode enumeration.
StreamingOptions.TransportType - Enum in jline.streaming: Transport type enumeration.
stronglyconncomp() - Method in class jline.util.graph.DirectedGraph: Strongly connected components, with the bottom ones (BSCCs) flagged.
StsQuantileStats - Class in jline.api.sim: Standardized time series statistics of the batched quantile process.
StsQuantileStats(double[], double[], double, double, double, double, int, int, int) - Constructor for class jline.api.sim.StsQuantileStats
sub(double) - Method in class jline.util.matrix.Matrix: Subtract a scalar from all elements.
sub(double, Matrix) - Method in class jline.util.matrix.Matrix: Subtracts alpha-scaled version of the provided matrix.
sub(ComplexMatrix) - Method in class jline.util.matrix.ComplexMatrix: Subtracts another complex matrix from this one, returning a new matrix.
sub(Matrix) - Method in class jline.util.matrix.Matrix: Subtracts another matrix.
sub(Matrix, int[], int[]) - Static method in class jline.lib.butools.mam.FluidTools: Submatrix M(ri, ci) with index arrays (0-based).
sub_jsq(int, int, int, int, Matrix, Map<Node, Matrix>, Map<Node, Matrix>) - Method in class jline.lang.Network
sub_rr_wrr(int, int, int, int, Matrix, Map<Node, Matrix>, Map<Node, Matrix>) - Method in class jline.lang.Network
sub_sdr(int, int, int, int, Matrix, Map<Node, Matrix>, Map<Node, Matrix>) - Method in class jline.lang.Network: Krzesinski (1987) product-form state-dependent routing, eq.
sub_sq(int, int, int, int, Matrix, Map<Node, Matrix>, Map<Node, Matrix>) - Method in class jline.lang.Network: Power-of-K choices marginal routing probability.
sub2ind(Matrix, Matrix, Matrix) - Static method in class jline.util.Maths
subEq(double) - Method in class jline.util.matrix.Matrix: Subtracts a scalar from the current matrix in place.
subEq(double, Matrix) - Method in class jline.util.matrix.Matrix: Subtracts a scaled matrix from the current matrix in place.
subEq(Matrix) - Method in class jline.util.matrix.Matrix: Subtracts a matrix from the current matrix in place.
subgenerator() - Method in class jline.lang.processes.Markovian: Property alias for getSubgenerator
subgenerator() - Method in class jline.lang.processes.PH: Property alias for getSubgenerator
subMAPs - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.ComposeResult
subMAPs - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitResult
submethod - Variable in class jline.solvers.auto.SolverAUTO.AutoToken: The method handed to the family; "default" for a bare family name.
submodels - Variable in class jline.solvers.tr.TransformSolve.Expanded
SubProblem - Class in jline.opt.decomposition: A subproblem in a decomposition: a subset of variables to optimize while others are held fixed.
SubProblem(String, String, List<DecisionVariable>) - Constructor for class jline.opt.decomposition.SubProblem
SubProblemResult - Class in jline.opt.results: Result from solving one subproblem in a decomposition workflow.
SubProblemResult() - Constructor for class jline.opt.results.SubProblemResult
SubProblemResult(String, OptimizationResult) - Constructor for class jline.opt.results.SubProblemResult
subproblemResults - Variable in class jline.opt.results.WorkflowResult
subsetIndices - Variable in class jline.api.fes.FESDeaggInfo
substep(String, Object...) - Static method in class jline.io.LineConsole: Write one indented progress line.
substituteNhppProc(NetworkStruct, Map<Station, Map<JobClass, Matrix>>, Map<Station, Map<JobClass, Matrix>>) - Static method in class jline.solvers.fluid.FluidNhpp: Returns the process map to hand to the closing-rate builder, with every NHPP station-class replaced by the equivalent one-phase exponential MAP {D0, D1} = {-lam, lam} at its nominal rate mu(i,k)(0), so that map_pie sees a valid Markovian representation.
subtract(SymExpr) - Method in class jline.util.symbolic.SymExpr
success - Variable in class jline.api.mam.QPResult
success - Variable in class jline.opt.solver.de.DifferentialEvolution.Result
suggestedFixes - Variable in class jline.lang.RoutingErgodicity.ReducibilityInfo: One suggested repair per absorbing station; empty when ergodic.
sum_Ajump - Variable in class jline.lib.fjcodes.ComputeT.ComputeTResult
sum_closed(Matrix, Matrix, Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.sum.Sum_closed: Summation method for closed queueing networks.
Sum_closed - Class in jline.api.sum: Summation method (SUM) for closed queueing networks, including the extended SUM (ESUM) node functions for non-product-form networks with generally distributed service times.
Sum_closed() - Constructor for class jline.api.sum.Sum_closed
Sum_closed.Result - Class in jline.api.sum: Result of the summation method.
sum_closing(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, double, double, int) - Static method in class jline.api.sum.Sum_closing: Closing method for open and mixed networks solved with SUM.
Sum_closing - Class in jline.api.sum: Closing method for open and mixed non-product-form queueing networks (Bolch et al., Sec.
Sum_closing() - Constructor for class jline.api.sum.Sum_closing
Sum_closing.Result - Class in jline.api.sum: Result of the closing method.
sumAbsCols(int) - Method in class jline.util.matrix.Matrix: Sums the absolute values of the given column.
sumAbsRows(int) - Method in class jline.util.matrix.Matrix: Sums the absolute values of the given row.
sumCols() - Method in class jline.util.matrix.Matrix: Sums the values in each column and returns the results as a row vector.
sumCols(int) - Method in class jline.util.matrix.Matrix: Sums the elements in the specified column.
sumCols(int, int) - Method in class jline.util.matrix.Matrix: Computes the sum of a subset of rows for each column.
sumColsRaw() - Method in class jline.util.matrix.BaseMatrix
sumColsRaw() - Method in class jline.util.matrix.DenseMatrix
sumColsRaw() - Method in class jline.util.matrix.SparseMatrix
sumColsStatic(DMatrix) - Static method in class jline.util.matrix.SparseMatrix
sumCumprod(Matrix) - Static method in class jline.util.matrix.Matrix: Computes the sum of the cumulative product along a row vector.
summary() - Method in class jline.lang.JobClass: Prints the one-line class summary, twin of MATLAB JobClass.summary.
summary() - Method in class jline.lang.layered.LayeredNetwork: Prints a summary of the layered network structure to standard output.
summary() - Method in class jline.lang.Network
summary() - Method in class jline.lang.nodes.Node: Prints the one-line node summary, twin of MATLAB Node.summary.
sumRows() - Method in class jline.util.matrix.ComplexMatrix: Computes the sum of each row, returning a complex matrix with one column.
sumRows() - Method in class jline.util.matrix.Matrix: Computes the sum of each row and returns the result as a column vector.
sumRows(int) - Method in class jline.util.matrix.Matrix: Computes the sum of the values in a specific row.
sumRows(int, int) - Method in class jline.util.matrix.Matrix: Computes the sum over a subrange of columns for each row.
sumRowsRaw() - Method in class jline.util.matrix.BaseMatrix
sumRowsRaw() - Method in class jline.util.matrix.DenseMatrix
sumRowsRaw() - Method in class jline.util.matrix.SparseMatrix
sumRowsStatic(DMatrix) - Static method in class jline.util.matrix.SparseMatrix
sumSubMatrix(boolean[], boolean[]) - Method in class jline.util.matrix.Matrix: Computes the sum of a submatrix defined by boolean selection flags.
sumSubMatrix(int[], int[]) - Method in class jline.util.matrix.Matrix: Computes the sum of a submatrix defined by specific row and column indices.
sumSubMatrix(int, int, int, int) - Method in class jline.util.matrix.Matrix: Computes the sum of the values in a rectangular submatrix.
support - Variable in class jline.lang.processes.Distribution
support() - Method in class jline.lang.processes.Distribution: Property alias for getSupport
supportFinal - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: Support at the last step.
supportMax - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: Largest occupied support over the sweep.
SupportResult(boolean, FeatureSet, FeatureSet) - Constructor for class jline.solvers.ctmc.SolverCTMC.SupportResult
supports(Ensemble) - Method in class jline.solvers.ln.SolverLN
supports(FeatureSet, FeatureSet) - Static method in class jline.lang.FeatureSet: Checks if the used features are supported by the given solver
supports(LayeredNetwork) - Method in class jline.solvers.ldes.SolverLDES: Checks if the solver supports the given LayeredNetwork model.
supports(Network) - Method in class jline.examples.java.advanced.SolverCustom: Whether this solver declares every feature the model uses.
supports(Network) - Method in class jline.solvers.ag.SolverAG
supports(Network) - Method in class jline.solvers.auto.SolverAUTO
supports(Network) - Method in class jline.solvers.ba.SolverBA: Whether SolverBA can bound this model.
supports(Network) - Method in class jline.solvers.ctmc.SolverCTMC
supports(Network) - Method in class jline.solvers.env.SolverENV
supports(Network) - Method in class jline.solvers.fluid.SolverFluid: Checks whether the given model is supported by the Fluid solver.
supports(Network) - Method in class jline.solvers.ldes.SolverLDES
supports(Network) - Method in class jline.solvers.mam.SolverMAM
supports(Network) - Method in class jline.solvers.mva.SolverMVA: Checks whether the given model is supported by the MVA solver
supports(Network) - Method in class jline.solvers.nc.SolverNC: Checks whether the given model is supported by the NC solver
supports(Network) - Method in class jline.solvers.Solver: Checks if this solver supports the given network model.
supports(Network) - Method in class jline.solvers.ssa.SolverSSA
supports(Network) - Method in class jline.solvers.uq.SolverUQ
supports(Network) - Method in class jline.solvers.wrappers.jmt.SolverJMT
supports(Network) - Method in class jline.solvers.wrappers.lqns.SolverLQNS: Coarse gate.
supportsExactSensitivity() - Method in class jline.solvers.mva.SolverMVA: MVA differentiates its own recursion: getSensitivityTable uses the analytic branch (pfqn_sens) wherever the model is in scope.
supportsExactSensitivity() - Method in class jline.solvers.nc.SolverNC: The normalizing-constant solver is exact on the same product-form class that pfqn_sens differentiates, so getSensitivityTable uses the analytic branch.
supportsExactSensitivity() - Method in class jline.solvers.NetworkSolver: True when the solver evaluates a product-form recursion that NetworkSolver.getSensitivityTable() can differentiate analytically.
supportsModel(Network) - Static method in class jline.solvers.nc.SolverNC: Static method to check whether the given model is supported by the NC solver.
supportsModelMethod(String) - Method in class jline.solvers.ag.SolverAG
supportsModelMethod(String) - Method in class jline.solvers.ba.SolverBA: The feature gate above, plus the structural premises no feature name can express.
supportsModelMethod(String) - Method in class jline.solvers.ctmc.SolverCTMC: The per-method rules the feature registry has no name for, asked of the SAME predicates the analyzers use so that the report and the run cannot answer differently.
supportsModelMethod(String) - Method in class jline.solvers.fluid.SolverFluid: The structural finite-capacity gate runAnalyzer enforces at solve time, stated here so that a CALLER can see it before running.
supportsModelMethod(String) - Method in class jline.solvers.ln.SolverLN: The encoding rules the layer builders enforce at solve time, stated here so that a CALLER can see them before running.
supportsModelMethod(String) - Method in class jline.solvers.mam.SolverMAM: Method-aware gate for the genuine per-method restrictions of the MAM analyzer (mirrors the guards in Solver_mam_analyzer and the MATLAB SolverMAM.supportsModelMethod): 'mna' does not support mixed open/closed models, and 'ldqbd' requires a single-class model.
supportsModelMethod(String) - Method in class jline.solvers.mva.SolverMVA: Method-level gate.
supportsModelMethod(String) - Method in class jline.solvers.nc.SolverNC: Method-aware gate.
supportsModelMethod(String) - Method in class jline.solvers.Solver: Fine, method-aware gate.
supportsModelMethod(String) - Method in class jline.solvers.ssa.SolverSSA: The fork-join model class, which EVERY SSA method has to clear.
supportsModelMethod(String) - Method in class jline.solvers.wrappers.jmt.SolverJMT
supportsModelMethod(String) - Method in class jline.solvers.wrappers.lqns.SolverLQNS: Structural finite-capacity gate.
supportsModelMethod(String, boolean) - Method in class jline.solvers.nc.SolverNC: The same gate, told WHICH QUESTION IS BEING ASKED.
supportsReason(FeatureSet, FeatureSet) - Static method in class jline.lang.FeatureSet: Same feature comparison as FeatureSet.supports(jline.lang.FeatureSet, jline.lang.FeatureSet) but returns a human-readable reason instead of a boolean (empty string when every used feature is supported), and without the side-effect warning.
supportsReason(NetworkStruct) - Static method in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer: Can the mdd decision-diagram method be asked for this model?
supportsReason(NetworkStruct, SolverOptions) - Static method in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer: Can the cftp perfect sampler be asked for this model?
supportsTransientAnalysis() - Method in class jline.solvers.ctmc.SolverCTMC
supportsTransientAnalysis() - Method in class jline.solvers.fluid.SolverFluid
supportsTransientAnalysis() - Method in class jline.solvers.ldes.SolverLDES
supportsTransientAnalysis() - Method in class jline.solvers.Solver: Does this solver produce transient averages, i.e.
supportsTransientAnalysis() - Method in class jline.solvers.wrappers.jmt.SolverJMT
supportsTransientVariance() - Method in class jline.solvers.fluid.SolverFluid
supportsTransientVariance() - Method in class jline.solvers.Solver: Does this solver produce a transient COVARIANCE alongside the transient means, i.e.
svcdown - Variable in class jline.solvers.ag.handlers.RCATModel
svcmeanByClass - Variable in class jline.solvers.ln.SolverLN.PHLayer: Mean of the law each class is currently served with.
svcrate - Variable in class jline.solvers.ag.handlers.RCATModel
svcRateFun - Variable in class jline.lang.nodeparam.QueueNodeParam: Pass-and-swap (PAS) total service rate function mu(c) of the ordered state.
svcreset - Variable in class jline.solvers.ln.SolverLN
svd() - Method in class jline.util.matrix.Matrix: Computes the Singular Value Decomposition (SVD) of this matrix.
SVD(Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.SVD
swapGraph - Variable in class jline.lang.nodeparam.QueueNodeParam: Pass-and-swap (PAS) class compatibility/swap graph (nclasses x nclasses).
swD0 - Variable in class jline.lang.state.Polling.Info: D0 of the switchover entering buffer q.
swD1 - Variable in class jline.lang.state.Polling.Info: D1 of the switchover entering buffer q.
sweep(Matrix, List<Integer>) - Method in class jline.solvers.ag.AgWorkerClient: One sweep: send the reversed rates, receive the owned agents' stationary vectors in the order they were assigned.
sweep(Matrix, Matrix[], Matrix[], Matrix[], int[], int[], int, int, int[], RCATModel, Matrix[], Matrix[]) - Method in class jline.solvers.ag.AgExec: Evaluate every agent at the reversed rates x, writing agent k's generator into Qs[k] and its stationary vector into pis[k].
sweep(T, int) - Method in interface jline.api.da.Da_fpi.Sweep
sweepArrivalRate(double[], Class<? extends NetworkSolver>) - Method in class jline.gen.Cluster: Sweeps the (single-class) arrival rate of an open cluster and solves at each value.
sweepArrivalRate(double[], Function<Network, NetworkAvgTable>) - Method in class jline.gen.Cluster: Same as Cluster.sweepArrivalRate(double[], Class) but with a custom solver factory.
sweepNumStations(int[], Class<? extends NetworkSolver>) - Method in class jline.gen.Cluster: Sweeps the number of parallel servers (homogeneous service rate replicated) and solves at each value.
sweepNumStations(int[], Function<Network, NetworkAvgTable>) - Method in class jline.gen.Cluster: Same as Cluster.sweepNumStations(int[], Class) but with a custom solver factory.
SweepResult(T, T) - Constructor for class jline.api.da.Da_fpi.SweepResult
SWITCH - Enum constant in enum jline.lang.constant.EventType: The server of a polling station advances its switchover timer.
switchover_basic() - Static method in class jline.examples.java.advanced.SwitchoverTimesExamples: Demonstrates basic switchover time modeling (switchover_basic.ipynb).
switchover_basic() - Static method in class jline.examples.java.advanced.SwitchoverTimesModel: Demonstrates switchover times between job classes in a multi-class queueing system.
switchoverTime - Variable in class jline.lang.nodeparam.QueueNodeParam: Switchover time distributions by job class for polling servers.
switchoverTimes - Variable in class jline.lang.nodes.Station
SwitchoverTimesExamples - Class in jline.examples.java.advanced: Examples demonstrating switchover times in queueing systems.
SwitchoverTimesExamples() - Constructor for class jline.examples.java.advanced.SwitchoverTimesExamples
SwitchoverTimesModel - Class in jline.examples.java.advanced: Examples of models with switchover times
SwitchoverTimesModel() - Constructor for class jline.examples.java.advanced.SwitchoverTimesModel
swPie - Variable in class jline.lang.state.Polling.Info: Entry probability vector of the switchover entering buffer q.
sylv(Matrix, Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Solves the Sylvester equation A·X + X·B = -C via Bartels-Stewart on the complex Schur form, mirroring MATLAB lyap(A,B,C).
symbolic - Variable in class jline.solvers.SolverOptions.Config: Computer algebra backend for symbolic analysis: "auto" searches for a line-sage-rest service and starts one from a local image if needed, "none" disables it, and any other value is either a service URL or a Docker image name.
symbolic_timeout - Variable in class jline.solvers.SolverOptions.Config: Per-request timeout of the symbolic backend, in seconds.
symbolicDrift(FluidODEsExporter.SymODEs) - Static method in class jline.solvers.fluid.FluidODEsExporter: Right-hand side of the ODE system as expression strings, one per state variable, in the format the symbolic backend parses.
symbolicGeneratorResult(MatrixCell, MatrixCell, List<String>, boolean, Matrix, MatrixCell, Map<Integer, Sync>) - Constructor for class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult
symbols - Variable in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult: Symbol names x1..xE; null for events with no positive rates
SymContext - Class in jline.util.symbolic: The ordered variable set a family of SymExpr values shares.
SymEngine - Interface in jline.api.sym: Computer algebra operations LINE needs, as seen by the JAR.
SymEngine.CTMCMeasures - Class in jline.api.sym: Stationary distribution together with the measures taken from it.
SymEngine.CTMCSolution - Class in jline.api.sym: Symbolic stationary distribution of a CTMC.
SymEngine.FluidODEs - Class in jline.api.sym: Symbolic analysis of a fluid vector field.
SymEngine.Measure - Class in jline.api.sym: One weighted sum of the stationary distribution, or a ratio of two.
SymEngine.Passage - Class in jline.api.sym: First passage time transform and moments.
SymEngine.RatioSpec - Class in jline.api.sym: A ratio of two measures, by their index into the weight block.
SymEngine.Sensitivity - Class in jline.api.sym: Exact parametric sensitivity, following Trivedi and Bobbio (2017), Sec.
SymEngines - Class in jline.api.sym: Resolves the symbolic backend to use, and owns the container that serves it.
SymExpr - Class in jline.util.symbolic: A rational function over Q in the variables of a SymContext.
SymMatrix - Class in jline.util.matrix: A dense matrix whose entries are SymExpr rational functions.
SymMatrix(SymContext, int, int) - Constructor for class jline.util.matrix.SymMatrix: A zero-filled matrix.
SymODEs() - Constructor for class jline.solvers.fluid.FluidODEsExporter.SymODEs
sync - Variable in class jline.lang.NetworkStruct
Sync - Class in jline.lang: A declaration of a synchronization on a NetworkEvent
Sync() - Constructor for class jline.lang.Sync
SYNC - Enum constant in enum jline.lang.constant.CallType
syncCallDests - Variable in class jline.lang.layered.Activity
syncCallGroups - Variable in class jline.lang.layered.Activity: Call groups dispatched by a routing strategy instead of independently.
syncCallMeans - Variable in class jline.lang.layered.Activity
SYNCH_CALL - Enum constant in enum jline.io.ModelVisualizer.EdgeType
SYNCH_CALL - Enum constant in enum jline.io.tikz.SequenceDiagramTraverser.Interaction.Type
synchCall(String) - Method in class jline.lang.layered.Activity
synchCall(String, double) - Method in class jline.lang.layered.Activity
synchCall(Entry) - Method in class jline.lang.layered.Activity
synchCall(Entry, double) - Method in class jline.lang.layered.Activity
synchCallJSQ(List<Entry>, double) - Method in class jline.lang.layered.Activity: Dispatch synchronous calls to the least loaded of a set of target entries.
synchCallRoundRobin(List<Entry>, double) - Method in class jline.lang.layered.Activity: Dispatch synchronous calls round-robin over a set of target entries.
syncInfo - Variable in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult
syncreply - Variable in class jline.lang.NetworkStruct
sysAggr(Network, double[]) - Static method in class jline.examples.parity.StateProbTwins: statepr_sys_aggr.py: the joint aggregate probability that every job sits at the last station.
sysAggrLarge() - Static method in class jline.examples.parity.StateProbTwins: statepr_sys_aggr_large.py: the same joint query on three queues and four unit-population classes.
sysAvgT() - Method in class jline.solvers.NetworkSolver: Alias for getAvgSysTable().
sysAvgT(AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle, AvgHandle) - Method in class jline.solvers.NetworkSolver: Alias for getAvgSysTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
sysAvgT(SolverAvgHandles) - Method in class jline.solvers.NetworkSolver: Alias for getAvgSysTable(SolverAvgHandles avgHandles).
SysQLen - Enum constant in enum jline.lang.constant.MetricType
SysRespT - Enum constant in enum jline.lang.constant.MetricType
SysTard - Enum constant in enum jline.lang.constant.MetricType
SysTard - Variable in class jline.solvers.SolverAvgHandles: System tardiness handles [1 x classes]
SysTardN - Variable in class jline.solvers.SolverResult: Mean system tardiness [1 x classes]
system(String) - Static method in class jline.io.SysUtils
system(String, long) - Static method in class jline.io.SysUtils
SystemResponseTimeConstraint - Class in jline.opt.objectives: End-to-end (chain-level) response time constraint: SysRespT <= maxValue.
SystemResponseTimeConstraint(double) - Constructor for class jline.opt.objectives.SystemResponseTimeConstraint
SystemResponseTimeConstraint(String, double, String) - Constructor for class jline.opt.objectives.SystemResponseTimeConstraint
SystemResponseTimeConstraint(JobClass, double) - Constructor for class jline.opt.objectives.SystemResponseTimeConstraint
systemResponseTimes - Variable in class jline.opt.results.EvaluationResult
systemThroughputs - Variable in class jline.opt.results.EvaluationResult
SysTput - Enum constant in enum jline.lang.constant.MetricType
SysUtils - Class in jline.io

T

t - Variable in class jline.api.cache.CacheMissRmfTranResult: Time grid (nt,).
t - Variable in class jline.api.fj.FJ_quorum.StepCDF
t - Variable in class jline.api.mc.Ctmc_transient_sens.Result: Accepted time points, the first being t0.
t - Variable in class jline.api.mc.PassageCurve: The time grid.
t - Variable in class jline.api.qsys.QsysMg1PsResult: Requested times.
t - Variable in class jline.api.qsys.QsysWorkloadResult: Grid at which F is reported.
t - Variable in class jline.inference.lang.SampledMetric
t - Variable in class jline.io.Ret.SampleResult: Time points for the sampled trajectory.
t - Variable in class jline.lang.Event
t - Variable in class jline.lang.ModeEvent
t - Variable in class jline.lib.ode.RKF45Result
t - Variable in class jline.solvers.ctmc.CTMCResult.TranProbAggrResult
t - Variable in class jline.solvers.ctmc.CTMCResult.TranProbResult
t - Variable in class jline.solvers.ctmc.CTMCResult.TranProbSysAggrResult
t - Variable in class jline.solvers.ctmc.CTMCResult.TranProbSysResult
t - Variable in class jline.solvers.ctmc.SolverCTMC.EventInfo
t - Variable in class jline.solvers.ctmc.SolverCTMC.SampleResult
t - Variable in class jline.solvers.ctmc.SolverCTMC.SampleSysResult
t - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
t - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
t - Variable in class jline.solvers.fluid.analyzers.CacheTranResult: Shared time grid (nt,).
t - Variable in class jline.solvers.fluid.petri.PetriSolver.Result: The seed trajectory: (npoints) times and (npoints x nstate) states.
t - Variable in class jline.solvers.ln.LNTranAvgResult: Time instants per cell, block-diagonal [rows][cols]; each cell Tmax x 1 or null.
t - Variable in class jline.solvers.SolverResult: Time points for transient analysis
t - Variable in class jline.solvers.ssa.SampleNodeState: Time points of the sampling
t - Variable in class jline.solvers.ssa.SampleSysState: Time points of the sampling
t - Variable in class jline.solvers.wrappers.jmt.SolverJMT.EventInfo
T - Variable in class jline.api.infer.InferLqnOptions
T - Variable in class jline.api.pfqn.Pfqn_cftp.PfqnCftpReturn: Per-sample coalescence horizon ('cftp') or mixing steps ('approx') (nsamples x 1).
T - Variable in class jline.api.pfqn.Pfqn_sdr.Coeff: Number of levels of subnetwork nesting.
T - Variable in class jline.api.qsys.QsysTandemPathResult: Sojourn times, W + S.
T - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
T - Variable in class jline.io.Ret.LinearizerResult
T - Variable in class jline.io.Ret.pfqnAMVA
T - Variable in class jline.io.Ret.pfqnProcomom2
T - Variable in class jline.io.Ret.snDeaggregateChainResults
T - Variable in class jline.lang.workflow.Workflow.SPNode: Cached subgenerator.
T - Variable in class jline.lib.fjcodes.ComputeT.ComputeTResult
T - Variable in class jline.solvers.ctmc.CTMCResult.AVG
T - Variable in class jline.solvers.ctmc.SolverCTMC.StochCompResult
T - Variable in class jline.solvers.mam.handlers.Mam_svc_mixture.Result: n x n, the block-diagonal subgenerator.
T - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
T - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
T - Variable in class jline.solvers.SolverAvgHandles: Throughput handles [stations x classes]
T - Variable in class jline.solvers.tr.TransformSolve.Inner
T - Variable in class jline.solvers.tr.TransformSolve.Lifted
T - Variable in class jline.solvers.tr.TransformSolve.Result
T - Variable in class jline.solvers.uq.SolverUQ.PosteriorTableRow
T_1 - Variable in class jline.io.Ret.pfqnEstimate
T_1 - Variable in class jline.io.Ret.pfqnLinearizerEstimate
tableEntry(int) - Static method in class jline.lang.processes.CME: Selects the CME table entry realizing the given number of phases.
tableNodes - Variable in class jline.api.mdd.MddStats: Nodes physically held in the tables, dead ones included.
TabulatedRewardFunction - Class in jline.lang.reward: A reward function backed by a lookup table over aggregated state vectors.
TabulatedRewardFunction() - Constructor for class jline.lang.reward.TabulatedRewardFunction
tag - Variable in class jline.lang.FJSync
tagChain(Network, Chain) - Static method in class jline.lang.ModelAdapter: Convenience method with default parameters
tagChain(Network, Chain, JobClass) - Static method in class jline.lang.ModelAdapter: Convenience method with default parameters
tagChain(Network, Chain, JobClass, String) - Static method in class jline.lang.ModelAdapter: Build a tagged copy of model: one job of jobclass is moved out of its own class into a new class of population 1, so that a solver can follow that single job.
TaggedChainResult(Network, JobClass) - Constructor for class jline.lang.ModelAdapter.TaggedChainResult
tail - Variable in class jline.api.pfqn.mva.Pfqn_mvasjn.Profile: Tail parameters a, b, c per class (R x 3).
tail - Variable in class jline.io.Ret.pfqnQlenMoments
tailmass - Variable in class jline.inference.api.VariationalResult: largest probability mass sitting on the truncated top count.
tailRatio - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: Geometric decay ratio of the tail bound.
tailStep - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: Step of the tail bound, 2(Lmax+gamma/2).
talbot - Class in jline.lib.lti
talbot_get_alpha(int) - Static method in class jline.api.lti.Laplace_invert: Talbot contour nodes alpha_i, i = 1..n.
talbot_get_omega(int, Complex[]) - Static method in class jline.api.lti.Laplace_invert: Talbot contour weights omega_i, i = 1..n, for the nodes of ALPHA.
tandem(Matrix, Matrix, SchedStrategy[], Matrix) - Static method in class jline.lang.Network: Creates a tandem queueing network with specified arrival rates and service demands.
tandemFcfs(Matrix, Matrix, Matrix) - Static method in class jline.lang.Network
tandemFcfsInf(Matrix, Matrix) - Static method in class jline.lang.Network: Creates a tandem network with FCFS infinite servers.
tandemFcfsInf(Matrix, Matrix, Matrix) - Static method in class jline.lang.Network: Creates a tandem network with FCFS infinite servers and delay centers.
tandemFcfsInf(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lang.Network: Creates a tandem network with FCFS infinite servers, delays, and specified server counts.
tandemOpen() - Static method in class jline.examples.java.advanced.AgentModel: Creates an open tandem queue model (M/M/1 -> M/M/1).
tandemPhaseType() - Static method in class jline.examples.java.advanced.AgentModel: Creates an open tandem queue whose service laws are PHASE-TYPE.
tandemPs(Matrix, Matrix, Matrix) - Static method in class jline.lang.Network
tandemPsInf(Matrix, Matrix) - Static method in class jline.lang.Network: Creates a tandem network with processor sharing infinite servers.
tandemPsInf(Matrix, Matrix, Matrix) - Static method in class jline.lang.Network: Creates a tandem network with processor sharing infinite servers and delays.
tandemPsInf(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lang.Network
Tard - Enum constant in enum jline.lang.constant.MetricType
Tard - Variable in class jline.solvers.SolverAvgHandles: Tardiness handles [stations x classes]
TardN - Variable in class jline.solvers.SolverResult: Mean tardiness [stations x classes]
target - Variable in class jline.api.lqn.LqnBalanceEquations.Relation: Absolute index the relation is anchored on, 1-BASED: the struct index plus one, and lqn.cshift + cidx + 1 for a call.
target - Variable in class jline.solvers.ctmc.SolverCTMC.FirstPassageMomentsResult
target - Variable in class jline.solvers.ctmc.SolverCTMC.FirstPassageResult
targetEntry - Variable in class jline.io.tikz.SequenceDiagramTraverser.Interaction
targetname - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
targets - Variable in class jline.lang.layered.LayeredNetworkStruct.CallGroupStruct
targetTask - Variable in class jline.io.tikz.SequenceDiagramTraverser.Interaction
Task - Class in jline.lang.layered: A Task represents a software component or process in a layered queueing network that can host services (Entry objects) and runs on a Processor (Host).
Task(LayeredNetwork, String) - Constructor for class jline.lang.layered.Task
Task(LayeredNetwork, String, int) - Constructor for class jline.lang.layered.Task
Task(LayeredNetwork, String, int, SchedStrategy) - Constructor for class jline.lang.layered.Task
Task(LayeredNetwork, String, int, SchedStrategy, Distribution) - Constructor for class jline.lang.layered.Task
TASK - Enum constant in enum jline.io.ModelVisualizer.NodeType
TASK - Static variable in class jline.lang.layered.LayeredNetworkElement
taskgraph - Variable in class jline.lang.layered.LayeredNetworkStruct
taskIdx(int) - Method in class jline.lang.layered.LayeredNetworkStruct: Absolute index of task t, t in 0..ntasks-1.
taskLayerIndices - Variable in class jline.solvers.ln.SolverLN
TaskMultiplicity - Class in jline.opt.variables: Optimize the multiplicity (thread/instance count) of an LQN Task (integer).
TaskMultiplicity(String, int, int) - Constructor for class jline.opt.variables.TaskMultiplicity
TaskMultiplicity(String, int, int, String) - Constructor for class jline.opt.variables.TaskMultiplicity
TaskMultiplicity(Task, int, int) - Constructor for class jline.opt.variables.TaskMultiplicity
taskOf(int) - Method in class jline.lang.layered.LayeredNetworkStruct: Task-local index of an absolute index, or -1 if it is not a task.
taskProcessorName(LayeredNetwork, String) - Static method in class jline.opt.LqnAdapter: Name of the processor a task is deployed on (null if undeployed).
TaskReplication - Class in jline.opt.variables: Optimize the replication (fan-out replicas) of an LQN Task (integer).
TaskReplication(String, int, int) - Constructor for class jline.opt.variables.TaskReplication
TaskReplication(String, int, int, String) - Constructor for class jline.opt.variables.TaskReplication
TaskReplication(Task, int, int) - Constructor for class jline.opt.variables.TaskReplication
tasks - Variable in class jline.lang.layered.Host
tasks - Variable in class jline.lang.layered.LayeredNetwork
tasksof - Variable in class jline.lang.layered.LayeredNetworkStruct
tasksPerLink - Variable in class jline.lang.sections.Forker: Nominal tasks emitted on each outgoing link, shared by every link and every class.
tasksPerLinkByDest - Variable in class jline.lang.sections.Forker: Per-destination, per-class tasks-per-link overrides.
tasksPerLinkDist - Variable in class jline.lang.sections.Forker: Per-destination, per-class jobs-per-link distributions.
TaskThinkTime - Class in jline.opt.variables: Optimize the think time of an LQN Task (continuous).
TaskThinkTime(String, double, double) - Constructor for class jline.opt.variables.TaskThinkTime
TaskThinkTime(String, double, double, String) - Constructor for class jline.opt.variables.TaskThinkTime
TaskThinkTime(Task, double, double) - Constructor for class jline.opt.variables.TaskThinkTime
tau_st - Variable in class jline.lib.fjcodes.FJService
tbi_cells - Variable in class jline.solvers.SolverOptions.Config: Trajectory-based iteration (TBI) fluid method: explicit station partition.
tbi_cellsize - Variable in class jline.solvers.SolverOptions.Config: Trajectory-based iteration (TBI) fluid method: target number of stations per cell used by the greedy agglomerative partition when tbi_cells is not provided.
tbi_iter_max - Variable in class jline.solvers.SolverOptions.Config: Trajectory-based iteration (TBI) fluid method: maximum number of waveform relaxation sweeps per time segment.
tbi_tol - Variable in class jline.solvers.SolverOptions.Config: Trajectory-based iteration (TBI) fluid method: absolute sup-norm tolerance on the state trajectory used to stop the Jacobi waveform relaxation sweeps within a time segment.
TbiAnalyzer - Class in jline.solvers.fluid.analyzers: Trajectory-based iteration (TBI) analyzer for the transient fluid solution.
TbiAnalyzer() - Constructor for class jline.solvers.fluid.analyzers.TbiAnalyzer
tbiPartition(NetworkStruct, SolverOptions) - Static method in class jline.solvers.fluid.analyzers.TbiAnalyzer: Partition the station set into cells for trajectory-based iteration.
TCallLN - Variable in class jline.solvers.ldes.LNLDESResult: Rate at which each call is dispatched [1 x ncalls].
temp_ensemble - Variable in class jline.solvers.ln.SolverLN
TERM_FALSE - Static variable in class jline.api.mdd.MDD: Terminal node "0": empty subgraph.
TERM_TRUE - Static variable in class jline.api.mdd.MDD: Terminal node "1": a completed path is accepted.
terminalFESModel(double, Matrix) - Static method in class jline.examples.java.advanced.RandomEnvironmentModel: `renv_container_terminal.m`: the same hour-stage with the internal terminal handling collapsed into one closed load-dependent FES, serving at mu(n) when n containers are inside it.
terminalModel(double, double, int, int) - Static method in class jline.examples.java.advanced.RandomEnvironmentModel: `renv_container_terminal.m`: one hour-stage network, N carriers cycling yard-Delay -> quay-crane Queue.
terminatedBy - Variable in class jline.opt.results.OptimizationResult
termisentry - Variable in class jline.api.lqn.LqnBalanceEquations.Relation: Per term, true when it is an ENTRY class (an open-arrival stream, or the self-driven cycle of a reference task) rather than a CALL class; the two read their rate from different vectors.
terms - Variable in class jline.api.lqn.LqnBalanceEquations.Relation: Indices to aggregate over, 1-BASED.
terms - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
test_forkJoinCS_1() - Static method in class jline.examples.java.basic.ForkJoinModel
test_spn_nrm_open() - Static method in class jline.examples.java.basic.StochPetriNetExamples: `test_spn_nrm_open.m`: the SSA Next-Reaction-Method path on OPEN nets.
TestResults - Class in jline.unified: Data class representing test results.
TestResults() - Constructor for class jline.unified.TestResults
TEX - Enum constant in enum jline.io.LQN2UML.Format
text - Variable in class jline.api.lqn.LqnBalanceEquations.Relation
text - Variable in class jline.api.lqn.LqnBalanceEquations.Result
tget(String) - Method in class jline.solvers.NetworkAvgNodeTable
tget(String) - Method in class jline.solvers.NetworkAvgSysTable: The rows of the named chain.
tget(String) - Method in class jline.solvers.NetworkAvgTable: Every row naming the given station or class.
tget(String, String) - Method in class jline.solvers.NetworkAvgChainTable
tget(String, String) - Method in class jline.solvers.NetworkAvgNodeChainTable
tget(String, String) - Method in class jline.solvers.NetworkAvgNodeTable
tget(String, String) - Method in class jline.solvers.NetworkAvgTable: The single row for the given (station, class) pair.
tget(Chain) - Method in class jline.solvers.NetworkAvgSysTable
tget(Node, JobClass) - Method in class jline.solvers.NetworkAvgNodeChainTable
tget(Node, JobClass) - Method in class jline.solvers.NetworkAvgNodeTable
tget(Station, JobClass) - Method in class jline.solvers.NetworkAvgChainTable
tget(Station, JobClass) - Method in class jline.solvers.NetworkAvgTable: The single row for the given station and class objects.
tget(NetworkAvgNodeTable, String) - Static method in class jline.solvers.NetworkAvgNodeTable
tget(NetworkAvgNodeTable, String, String) - Static method in class jline.solvers.NetworkAvgNodeTable
tget(NetworkAvgSysTable, String) - Static method in class jline.solvers.NetworkAvgSysTable
tget(NetworkAvgTable, String) - Static method in class jline.solvers.NetworkAvgTable: Extracts rows from the table matching the specified name (station or class).
tget(NetworkAvgTable, String, String) - Static method in class jline.solvers.NetworkAvgTable: Extracts rows from the table matching both station and class names.
tgrid - Variable in class jline.inference.api.VariationalResult: (G) time grid.
tgrid - Variable in class jline.solvers.fluid.handlers.FluidRateMultiplier.RateEntry
TH - Variable in class jline.io.Ret.pfqnHarelBounds: Exact throughput values TH(n) for n=1,2,...,maxN (used to compute UB)
theta - Variable in class jline.api.mc.Ctmc_saddlepoint.SaddlepointResult: The saddle theta*, -Infinity where k=0.
theta - Variable in class jline.api.qsys.QsysBmapM1Result: Stationary vector of the BMAP phase process, generator sum_k D_k.
theta - Variable in class jline.api.qsys.QsysTandemUbResult: Tail decay rate, the positive root of E[e^{theta (Y-X)}] = 1.
theta - Variable in class jline.api.sim.QuestOptions: Decay exponent of the warmup significance.
theta - Variable in class jline.api.snc.SncResult: The minimizing theta, NaN when no feasible theta exists.
theta - Variable in class jline.solvers.fluid.petri.PetriSystem.Theta
theta(PetriTerms, double[], double[]) - Static method in class jline.solvers.fluid.petri.PetriSystem: The closed enabling term of every mode, and its derivative.
theta(Matrix) - Method in class jline.solvers.fluid.handlers.MatrixMethodODE
Theta() - Constructor for class jline.solvers.fluid.petri.PetriSystem.Theta
think - Variable in class jline.io.Ret.pfqnManjunath
think - Variable in class jline.lang.layered.LayeredNetworkStruct: Deprecated.
think(String) - Static method in class jline.api.infer.ParamSpec: Estimate the mean think time of the named task.
THINK - Enum constant in enum jline.api.infer.ParamSpec.Type
think_mean - Variable in class jline.lang.layered.LayeredNetworkStruct
think_params - Variable in class jline.lang.layered.LayeredNetworkStruct
think_proc - Variable in class jline.lang.layered.LayeredNetworkStruct
think_scv - Variable in class jline.lang.layered.LayeredNetworkStruct
think_type - Variable in class jline.lang.layered.LayeredNetworkStruct
thinkproc - Variable in class jline.solvers.ln.SolverLN
thinkt - Variable in class jline.api.lqn.Lqn_mol.Result: Task surrogate idle time.
thinkt - Variable in class jline.api.lqn.LqnBalanceEquations.Solution
thinkt - Variable in class jline.solvers.ln.SolverLN.LNState
thinkt - Variable in class jline.solvers.ln.SolverLN
thinkt_classes_updmap - Variable in class jline.solvers.ln.SolverLN
thinkt_prev - Variable in class jline.solvers.ln.SolverLN
thinkTime - Variable in class jline.lang.layered.Activity
thinkTime - Variable in class jline.lang.layered.Task
thinkTimeMean - Variable in class jline.lang.layered.Activity
thinkTimeMean - Variable in class jline.lang.layered.Task
thinkTimeSCV - Variable in class jline.lang.layered.Activity
thinkTimeSCV - Variable in class jline.lang.layered.Task
thinktPrev - Variable in class jline.solvers.ln.SolverLN.LNState
thinktproc - Variable in class jline.solvers.ln.SolverLN.LNState
thinktproc - Variable in class jline.solvers.ln.SolverLN
third - Variable in class jline.api.mam.Amap2_fit_gamma.Triple
third - Variable in class jline.api.mam.Mamap2m_coefficients.Mamap2mCoefficients
third - Variable in class jline.lib.kpctoolbox.smp.DET.Triple
ThreadLocalRandom - Class in jline.util: Deprecated.
Use RandomManager directly for new code. This class is maintained for backward compatibility.
ThreadLocalRandom() - Constructor for class jline.util.ThreadLocalRandom: Deprecated.
threadPool - Variable in class jline.solvers.EnsembleSolver
threadPool - Variable in class jline.solvers.ldes.SolverLDES: Thread pool for parallel replication execution
threadPool - Variable in class jline.solvers.ssa.SolverSSA
threePointFit(double, double) - Static method in class jline.api.fj.FJ_quorum: Two-moment fit of a branch completion time to a three-point discrete distribution.
throughput - Variable in class jline.api.dqsys.Bernoulli1Result: Carried departures per slot.
throughput - Variable in class jline.api.fes.FesMapAggregateResult: Throughput of the subnetwork at each population.
throughput - Variable in class jline.api.qsys.Qsys_mmck.Result: Effective throughput, lambda*(1 - pK).
throughput - Variable in class jline.api.qsys.QsysAbandonResult: Rate of served customers, lambda(1-P_loss)P(S).
throughput - Variable in class jline.api.qsys.QsysBmapM1Result: Throughput, equal to lambda.
throughput - Variable in class jline.api.qsys.QsysFluidAbandonResult: min(lambda, s*mu).
throughput - Variable in class jline.api.qsys.QsysMapG1kPerflowResult: 1 x N, throughput of flow n [pkts/s].
throughput - Variable in class jline.api.qsys.QsysMapG1kResult: Aggregate departure rate [pkts/s].
throughput - Variable in class jline.api.qsys.QsysMmapG1kResult: 1 x R, throughput of class k [pkts/s].
throughput - Variable in class jline.solvers.mam.handlers.BMAPMAP1Result: Throughput (total customer arrival rate)
throughput - Variable in class jline.solvers.mam.handlers.MAPBMAP1Result
throughput() - Method in class jline.api.dpfqn.DpfqnNcResult: Throughput per slot, G_1(N,J)/G(N,J).
throughput(int, int, double, long) - Static method in class jline.streaming.SSAMetricPoint: Create a throughput metric point.
throughput(int, int, String, String, double, long) - Static method in class jline.streaming.SSAMetricPoint: Create a throughput metric point with station/class names.
Throughput - Variable in class jline.api.qsys.QsysRetrialResult
throughputAggregate - Variable in class jline.api.qsys.QsysMapG1kPerflowResult: sum_n throughput(n).
throughputAggregate - Variable in class jline.api.qsys.QsysMmapG1kResult: sum_k throughput(k).
ThroughputConstraint - Class in jline.opt.objectives: Throughput constraint: Tput >= minValue.
ThroughputConstraint(String, String, double, String) - Constructor for class jline.opt.objectives.ThroughputConstraint
ThroughputConstraint(Station, double) - Constructor for class jline.opt.objectives.ThroughputConstraint
ThroughputConstraint(Station, JobClass, double) - Constructor for class jline.opt.objectives.ThroughputConstraint
throughputs - Variable in class jline.opt.results.EvaluationResult
throughputTable - Variable in class jline.api.fes.FESDeaggInfo
TikZEdgeRouter - Class in jline.io.tikz: Routes edges around nodes to achieve a planar graph layout.
TikZEdgeRouter(Map<Node, double[]>, TikZOptions) - Constructor for class jline.io.tikz.TikZEdgeRouter
TikZExporter - Class in jline.io.tikz: Exports a queueing network model as a TikZ diagram.
TikZExporter(Network) - Constructor for class jline.io.tikz.TikZExporter: Creates a TikZ exporter with default options.
TikZExporter(Network, TikZOptions) - Constructor for class jline.io.tikz.TikZExporter: Creates a TikZ exporter with custom options.
tikzExportPNG(String) - Method in class jline.lang.Network: Exports this network to a PNG file using TikZ.
tikzExportPNG(String, int) - Method in class jline.lang.Network: Exports this network to a PNG file using TikZ with custom DPI.
TikZLayoutEngine - Class in jline.io.tikz: Computes automatic layout for queueing network visualization.
TikZLayoutEngine(Network, TikZOptions) - Constructor for class jline.io.tikz.TikZLayoutEngine
TikZNodeRenderer - Class in jline.io.tikz: Renders queueing network nodes as TikZ code.
TikZNodeRenderer(TikZOptions) - Constructor for class jline.io.tikz.TikZNodeRenderer
TikZOptions - Class in jline.io.tikz: Configuration options for TikZ network visualization.
TikZOptions() - Constructor for class jline.io.tikz.TikZOptions
tikzView() - Method in class jline.lang.Network: Displays this network as a TikZ diagram in a PDF viewer.
tikzView(TikZOptions) - Method in class jline.lang.Network: Displays this network as a TikZ diagram with custom options.
TikZViewer - Class in jline.io.tikz: Displays PDF files generated from TikZ diagrams using external viewers.
TikZViewer() - Constructor for class jline.io.tikz.TikZViewer
time - Variable in class jline.lib.perm.NetworkNoThink.MarginalResult
time - Variable in class jline.lib.perm.PermSolver
TIME_WINDOW - Enum constant in enum jline.streaming.StreamingOptions.StreamMode: Push time-averaged metrics over windows
timeAnyClass - Variable in class jline.lang.nodeparam.LoggerNodeParam: Whether to measure and log service times for any-class interactions
timeAverage(Matrix, double) - Method in class jline.lang.processes.MarkovProcess: Time-averaged distribution over [0,t].
TIMED - Enum constant in enum jline.lang.constant.TimingStrategy
timedIdx - Variable in class jline.solvers.fluid.petri.PetriTerms
timedOut - Variable in class jline.solvers.SolverResult: True if the solver stopped early because the wall-clock time budget (SolverOptions.timeout) was exceeded.
timeExceeded(long, double) - Static method in class jline.solvers.Solver: Tests whether a wall-clock time budget has been exceeded.
timeGen - Variable in class jline.api.mdd.MddClosedQnResult: Generator assembly time in seconds.
timeLimit - Variable in class jline.opt.solver.LineOptSolverOptions
timeMetrics - Variable in class jline.api.mdd.MddClosedQnResult: Performance-measure time in seconds.
timeout - Variable in class jline.solvers.SolverOptions: Wall-clock time budget in seconds from solver launch to end.
timePoints - Variable in class jline.io.Ret.DistributionResult: Time points for transient distributions.
timeReach - Variable in class jline.api.mdd.MddClosedQnResult: Reachable-set build time in seconds; 0 when the diagram was supplied.
times - Variable in class jline.api.npfqn.Npfqn_gtmtst_fluid.Result: The time grid.
times - Variable in class jline.api.qsys.QsysMtginfResult: The times at which everything below was evaluated.
times - Variable in class jline.api.qsys.QsysTvFluidResult: The time grid.
times - Variable in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.NrmSpaceResult
times(double) - Method in class jline.api.fj.FJ_quorum.StepCDF: Scale the values, leaving the time grid untouched.
timeSameClass - Variable in class jline.lang.nodeparam.LoggerNodeParam: Whether to measure and log service times for same-class jobs
TIMESERIES - Enum constant in enum jline.inference.lang.SampledFormat
timeSolve - Variable in class jline.api.mdd.MddClosedQnResult: ctmc_solve time in seconds.
timespan - Variable in class jline.solvers.SolverOptions: Time interval for transient analysis [start, end]
timestamp - Variable in class jline.bench.BenchmarkRegression.RegressionBaseline
timestamp - Variable in class jline.lang.nodeparam.LoggerNodeParam: Whether to include timestamps in log entries
timestampNanos - Variable in class jline.streaming.SSAMetricPoint: Timestamp in nanoseconds since epoch
timestep - Variable in class jline.solvers.SolverOptions: Fixed timestep for transient analysis (null for adaptive stepping)
timeVarying - Variable in class jline.api.sn.SnArrivalRateFun.RateFun: Whether the rate depends on t at all.
timeWindowSeconds - Variable in class jline.streaming.StreamingOptions: For TIME_WINDOW mode: aggregate over X seconds before pushing
timeWindowSeconds(double) - Method in class jline.streaming.StreamingOptions: Set the time window duration for TIME_WINDOW mode.
timing - Variable in class jline.lang.nodeparam.TransitionNodeParam
timing - Variable in class jline.solvers.fluid.petri.PetriMode
timing - Variable in class jline.unified.JsonResult
Timing - Class in jline.lang.sections: A service section of a Transition in a stochastic Petri net model
Timing() - Constructor for class jline.lang.sections.Timing
Timing(String) - Constructor for class jline.lang.sections.Timing
timingStrategies - Variable in class jline.lang.nodes.Transition
TimingStrategy - Enum in jline.lang.constant: Constants for specifying timing strategies at Petri net transitions
tinv(double, double) - Static method in class jline.api.sim.SimDist: Quantile function of Student's t distribution.
TLN - Variable in class jline.solvers.ldes.LNLDESResult: Throughput per LQN element [1 x nidx]
TLNCI - Variable in class jline.solvers.ldes.LNLDESResult: Throughput confidence interval half-widths [1 x nidx]
Tlo - Variable in class jline.solvers.uq.SolverUQ.Interval: Throughput endpoints.
Tlower - Variable in class jline.solvers.ba.SolverBA.Bounds
tmax - Variable in class jline.api.qsys.QsysServiceLaw: Upper support limit of the density, read only when tmaxFinite.
tmax - Variable in class jline.inference.api.VariationalOptions
tmaxFinite - Variable in class jline.api.qsys.QsysServiceLaw: Whether the density has bounded support.
tn - Variable in class odesolver.LSODA
TN - Variable in class jline.api.lqn.Lqn_mol.Result
TN - Variable in class jline.api.mam.Mg1_dt_queue.Result
TN - Variable in class jline.api.sum.Sum_closing.Result: 1xR mean response time in the original network, TN=sum(QN)/XN
TN - Variable in class jline.io.Ret.pfqnAB: Throughput matrix (M x R)
TN - Variable in class jline.io.Ret.pfqnSchmidt: Throughput matrix (M x R)
TN - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult
TN - Variable in class jline.solvers.ctmc.handlers.Ctmc_avg_from_pi.Result
TN - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
TN - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
TN - Variable in class jline.solvers.mam.handlers.MetricsResult
TN - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Avg
TN - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
TN - Variable in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer.CftpResult
TN - Variable in class jline.solvers.SolverResult: Mean throughputs [stations x classes]
TN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
TN - Variable in class jline.solvers.tr.FJTagTransform.Lifted
TN_lo - Variable in class jline.api.lqn.Lqn_boxbounds.Result
TN_up - Variable in class jline.api.lqn.Lqn_boxbounds.Result
TNCI - Variable in class jline.solvers.ldes.LDESResult: Confidence interval half-widths for throughputs [stations x classes]
TNCI - Variable in class jline.solvers.ssa.SSAResult: Confidence interval half-widths for throughputs [stations x classes]
TNfcr - Variable in class jline.solvers.SolverResult: FCR mean throughputs (entry rate) [regions x classes]
TNRelPrec - Variable in class jline.solvers.ldes.LDESResult: Relative precision achieved for throughputs (CI half-width / mean) [stations x classes]
TNSamples - Variable in class jline.solvers.ldes.LDESResult: Number of samples (observations) used for throughput estimation [stations x classes]
TNt - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
TNt - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
TNt - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
TNt - Variable in class jline.solvers.ln.LNTranAvgResult: Transient throughputs, block-diagonal [rows][cols]; each cell Tmax x 1 or null.
TNt - Variable in class jline.solvers.SolverResult: Transient throughputs [time_points][stations x classes]
to_int - Static variable in class jline.lib.lti.abatewhitt
toArray(List<Double>) - Static method in class jline.api.pfqn.nc.Pfqn_explicit
toArray1D() - Method in class jline.util.matrix.Matrix: Converts the matrix to a flat 1D array in row-major order.
toArray2D() - Method in class jline.lang.ClassSwitchMatrix
toArray2D() - Method in class jline.util.matrix.Matrix: Converts the matrix to a 2D array representation.
toBMAP() - Method in class jline.lang.processes.BMMAPt: The width-weighted time average as a stationary BMAP, i.e.
toClass - Variable in class jline.io.Ret.ActionMapEntry
toClass - Variable in class jline.lang.nodes.Cache.RetrievalRoutingEntry
toClass - Variable in class jline.solvers.ag.handlers.ActionInfo
toCSC() - Method in class jline.util.matrix.BaseMatrix: Returns a CSC representation of this matrix: the live backing structure when sparse, a conversion copy (explicit zeros dropped) when dense.
toCSC() - Method in class jline.util.matrix.DenseMatrix: Returns a CSC conversion copy of this matrix (explicit zeros dropped).
toCSC() - Method in class jline.util.matrix.SparseMatrix: Returns the live CSC backing structure.
toCTMC() - Method in class jline.lang.processes.MarkovChain: Convert to CTMC by subtracting identity matrix
toDense() - Method in class jline.util.matrix.Matrix: Switches this matrix in place to dense (row-major) storage.
toDMatrixSparseCSC() - Method in class jline.util.matrix.Matrix: Converts this matrix to a copy of its underlying DMatrixSparseCSC structure.
toDMatrixSparseCSC(Matrix) - Method in class jline.util.matrix.Matrix: Converts a specified matrix to a copy of its underlying DMatrixSparseCSC structure.
toDouble() - Method in class jline.util.matrix.Matrix: Converts this matrix to a single Double value.
toDoubleList() - Method in class jline.util.matrix.Matrix: Converts the matrix to a nested list of Double values.
toDTMC() - Method in class jline.lang.processes.MarkovProcess: Convert to DTMC using uniformization
toDTMC(double) - Method in class jline.lang.processes.MarkovProcess
toEmbedded() - Method in class jline.lang.processes.MarkovProcess: Embedded jump chain, i.e.
toExpressionMatrix() - Method in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult: The whole symbolic generator as expression strings, row major.
toFeature(String) - Static method in class jline.lang.constant.ActivityPrecedenceType: The FeatureSet entry naming a precedence, as ActivityPrecedence stores it.
toFeature(ReplacementStrategy) - Static method in enum jline.lang.constant.ReplacementStrategy
toFeature(RoutingStrategy) - Static method in enum jline.lang.constant.RoutingStrategy: Converts a RoutingStrategy enum value to a feature string for analysis.
toFeature(SchedStrategy) - Static method in enum jline.lang.constant.SchedStrategy: Converts a SchedStrategy enum value to a feature string for analysis.
toFieldMatrix() - Method in class jline.util.matrix.ComplexMatrix: Converts this ComplexMatrix to an Apache Commons Math3 FieldMatrix.
toId(String) - Static method in class jline.lang.constant.ActivityPrecedenceType: The numeric id of a precedence, as ActivityPrecedence stores its type.
toId(PollingType) - Static method in enum jline.lang.constant.PollingType: Gets the ID (numeric value) of the polling type.
toIntArray1D() - Method in class jline.util.matrix.Matrix: Converts the matrix to a 1D array of int, flattening in row-major order.
toIntList(JsonArray) - Static method in class jline.solvers.ag.AgWire
toJMTText() - Method in enum jline.lang.constant.HeteroSchedPolicy: Converts this policy to JMT's descriptive label (e.g.
toJMTText(HeteroSchedPolicy) - Static method in enum jline.lang.constant.HeteroSchedPolicy
toJsonObject(LayeredNetwork) - Static method in class jline.io.LineModelIO: Builds a JsonObject representation of a LayeredNetwork model.
toJsonObject(Network) - Static method in class jline.io.LineModelIO: Builds a JsonObject representation of a Network model.
tokens - Variable in class jline.api.spn.Spn_lpbnd.SpnLpBounds
tokens - Variable in class jline.api.spn.Spn_metrics.SpnMetricsResult: Mean tokens per place level.
tol - Variable in class jline.api.mdd.MddMcdOptions: Convergence tolerance on the level marginals.
tol - Variable in class jline.api.pfqn.mva.SjnOptions: Convergence tolerance of the fixed point.
tol - Variable in class jline.api.spn.Spn_lpbnd.SpnLpOptions: Slack added to the inequality sides.
tol - Variable in class jline.api.spn.Spn_pf.SpnPfOptions: Relative tolerance of the rate-law and complex-balance checks.
tol - Variable in class jline.inference.api.VariationalOptions
tol - Variable in class jline.inference.lang.EstimatorOptions
tol - Variable in class jline.opt.solver.LineOptSolverOptions
tol - Variable in class jline.solvers.SolverOptions: General numerical tolerance
TOL - Static variable in class jline.api.fes.Fes_map_moments: Relative mass left when the Euler quadrature stops.
TOL - Static variable in class jline.solvers.fluid.moments.FluidConservationGuard: Relative population drift that counts as having left the model.
TOL - Static variable in class jline.solvers.tr.LcStrategy: The fixed convergence tolerance; a parity requirement, not a knob.
tolerance - Variable in class jline.bench.BenchmarkRegression.RegressionComparison
toList1D() - Method in class jline.util.matrix.Matrix: Converts the matrix into a 1D List of Double values in row-major order.
toMap() - Method in class jline.util.matrix.MatrixCell: Creates a copy of the internal mapping from indices to matrices.
toMAP() - Method in class jline.lang.processes.MarkedMAP: Aggregate MAP over all marks: MAP(D0, D1_agg).
toMAP(EventType, int, int) - Method in class jline.lang.processes.MarkedMarkovProcess: Convert to MAP for a specific event type, node, and class
toMAP(Event) - Method in class jline.lang.processes.MarkedMarkovProcess: Convert to MAP for a specific event
toMAPs(int) - Method in class jline.lang.processes.MarkedMAP: Marginal MAP of mark k: arrivals fire only on D1k, while the other marks' transitions become hidden phase changes, i.e.
toMAPt() - Method in class jline.lang.processes.BMMAPt: The UNMARKED, UNBATCHED schedule, i.e.
toMAPt() - Method in class jline.lang.processes.MMAPt: The UNMARKED schedule, i.e.
toMAPts(int) - Method in class jline.lang.processes.BMMAPt: The MARGINAL schedule of one mark: epochs fire only on that mark's blocks, while the other marks' transitions become hidden phase changes.
toMAPts(int) - Method in class jline.lang.processes.MMAPt: The MARGINAL schedule of one mark: arrivals fire only on that mark's blocks, while the other marks' transitions become hidden phase changes.
toMAPts(int) - Method in class jline.lang.processes.MPHt: The marginal schedule of one mark; see MMAPt.toMAPts(int).
toMarginal(NetworkStruct, int, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lang.state.ToMarginal: Computes marginal statistics for a stateful node in a Stochastic Petri Net.
ToMarginal - Class in jline.lang.state
ToMarginal() - Constructor for class jline.lang.state.ToMarginal
toMarginalAggr(NetworkStruct, int, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lang.state.ToMarginal: Computes aggregated marginal statistics for a stateful node using specified aggregation weights.
toMatrix() - Method in class jline.lang.processes.GMM: Converts this GMM to a simplified matrix representation.
toMatrix() - Method in class jline.solvers.AvgTable: Returns the table data as a Matrix after sanitizing numerical values.
toMatrix() - Method in class jline.util.graph.DirectedGraph
toMatrix() - Method in class jline.util.graph.UndirectedGraph
toMetricType(String) - Static method in enum jline.lang.constant.MetricType
toMMAPt() - Method in class jline.lang.processes.BMMAPt: The BATCH-BLIND marked schedule, i.e.
toMMAPt() - Method in class jline.lang.processes.MPHt: The equivalent MMAP_t, which is the form this process is stored and sampled in.
toNetwork(Ensemble) - Static method in class jline.lang.Ensemble: Alias for merge - creates a union Network from this ensemble.
toPH() - Method in class jline.lang.processes.MPH: The UNMARKED phase-type distribution of the duration, PH(alpha, S).
toPH() - Method in class jline.lang.workflow.Workflow: Composed law of the workflow execution time.
toPHt() - Method in class jline.lang.processes.MPHt: The UNMARKED schedule of the duration, PHt(alpha, S).
toRates(JsonArray) - Static method in class jline.solvers.ag.AgWire: The inverse of AgWire.rates(jline.util.matrix.Matrix), as the column vector the solver uses.
toRMaj() - Method in class jline.util.matrix.BaseMatrix: Returns a row-major representation of this matrix: the live backing structure when dense, a conversion copy when sparse.
toRMaj() - Method in class jline.util.matrix.DenseMatrix: Returns the live row-major backing structure.
toRMaj() - Method in class jline.util.matrix.SparseMatrix: Returns a row-major conversion copy of this matrix.
toServiceLaw() - Method in class jline.solvers.mam.handlers.Mam_svc_mixture.Result: The mixture as a service law descriptor.
toSparse() - Method in class jline.util.matrix.Matrix: Switches this matrix in place to sparse (CSC) storage, dropping explicit zeros.
toStation - Variable in class jline.io.Ret.ActionMapEntry
toStation - Variable in class jline.solvers.ag.handlers.ActionInfo
toStationIndices(Matrix, List<String>) - Method in class jline.lang.StateDepRouting: Returns a copy of this structure with every center index mapped through the supplied node-to-station index vector.
toString() - Method in class jline.api.aoi.Aoi_dist2phResult
toString() - Method in class jline.api.aoi.AoiLstResult
toString() - Method in class jline.api.aoi.AoiMfqResult
toString() - Method in class jline.api.aoi.AoiParams
toString() - Method in class jline.api.aoi.AoiResult
toString() - Method in class jline.api.aoi.AoiValidationResult
toString() - Method in class jline.api.dqsys.GeoGeo1Result
toString() - Method in class jline.api.dqsys.GeoXGeo1Result
toString() - Method in class jline.api.fes.FESOptions
toString() - Method in class jline.api.fes.FESResult
toString() - Method in class jline.api.fj.CharMaxResult
toString() - Method in class jline.api.fj.FJ_bounds.FJBoundsResult
toString() - Method in class jline.api.fj.FJInfo
toString() - Method in class jline.api.fj.GKBoundResult
toString() - Method in class jline.api.lqn.LqnBalanceEquations.Relation
toString() - Method in class jline.api.lqn.LqnBalanceEquations.Result
toString() - Method in class jline.api.mam.BmapSample
toString() - Method in class jline.api.mam.QbdMapMap1Result
toString() - Method in class jline.api.mam.QbdRapRap1Result
toString() - Method in class jline.api.mam.QbdRapResult
toString() - Method in class jline.api.mdd.MDD
toString() - Method in class jline.api.nc.MeOqnOptions
toString() - Method in class jline.api.nc.MeOqnResult
toString() - Method in class jline.api.pfqn.mva.Pfqn_sqni.PfqnSqniResult
toString() - Method in class jline.api.pfqn.PfqnUniqueResult
toString() - Method in class jline.api.qsys.DmcResult
toString() - Method in class jline.api.qsys.MDcCrommelinResult
toString() - Method in class jline.api.qsys.PhM1Result
toString() - Method in class jline.api.qsys.PhMcResult
toString() - Method in class jline.api.qsys.QsysAbandonResult
toString() - Method in class jline.api.qsys.QsysFluidAbandonResult
toString() - Method in class jline.api.qsys.QsysMapDcResult
toString() - Method in class jline.api.qsys.QsysMapPhResult
toString() - Method in class jline.api.qsys.QsysMtginfResult
toString() - Method in class jline.api.qsys.QsysTvFluidResult
toString() - Method in class jline.api.qsys.RetrialInfo
toString() - Method in class jline.api.trace.CountStatistics
toString() - Method in class jline.api.trace.SingleClassCountStats
toString() - Method in class jline.inference.lang.ConditionEvent
toString() - Method in class jline.io.LineCitations.Citation
toString() - Method in class jline.io.ModelVisualizer.ModelEdge
toString() - Method in class jline.io.ModelVisualizer.ModelVertex
toString() - Method in class jline.lang.constant.BalkingThreshold
toString() - Method in class jline.lang.constant.ServerType
toString() - Method in class jline.lang.Graph.Edge
toString() - Method in class jline.lang.Graph
toString() - Method in class jline.lang.processes.BMAP
toString() - Method in class jline.lang.processes.DMAP
toString() - Method in class jline.lang.processes.Exp
toString() - Method in class jline.lang.processes.Expolynomial
toString() - Method in class jline.lang.processes.GMM
toString() - Method in class jline.lang.processes.HyperExp
toString() - Method in class jline.lang.processes.MAP: Returns a string representation of this MAP process.
toString() - Method in class jline.lang.processes.MAPt
toString() - Method in class jline.lang.processes.MMAP
toString() - Method in class jline.lang.processes.MMDP
toString() - Method in class jline.lang.processes.MMDP2
toString() - Method in class jline.lang.processes.MMPP2: Returns a string representation of this MMPP2 process.
toString() - Method in class jline.lang.processes.MultivariateNormal
toString() - Method in class jline.lang.processes.NHPP
toString() - Method in class jline.lang.processes.Normal
toString() - Method in class jline.lang.processes.PHt
toString() - Method in class jline.lang.reward.RewardDescriptor
toString() - Method in class jline.lang.reward.TabulatedRewardFunction
toString() - Method in class jline.lib.butools.dph.MGFromMoments.MGRepresentation
toString() - Method in class jline.lib.butools.mam.GeneralFluidSolution
toString() - Method in class jline.lib.butools.map.MAPRepresentation
toString() - Method in class jline.lib.butools.ph.MERepresentation
toString() - Method in class jline.lib.butools.ph.PH2From3Moments.PH2Representation
toString() - Method in class jline.lib.butools.ph.PH3Representation
toString() - Method in class jline.lib.butools.ph.PHRepresentation
toString() - Method in class jline.lib.butools.queues.FluFluResult
toString() - Method in class jline.lib.butools.reptrans.MarkovianRepresentation
toString() - Method in class jline.lib.fjcodes.FJArrival
toString() - Method in class jline.lib.fjcodes.FJService
toString() - Method in class jline.lib.fjcodes.FJServiceH
toString() - Method in class jline.lib.fjcodes.GenerateServiceResult
toString() - Method in class jline.lib.fjcodes.SAResult
toString() - Method in class jline.lib.m3a.M3aCompressOptions
toString() - Method in class jline.lib.m3a.M3aFitOptions
toString() - Method in class jline.lib.m3a.MTrace
toString() - Method in class jline.lib.ode.RKF45Result
toString() - Method in class jline.lib.qmam.DTQueueResult
toString() - Method in class jline.lib.qmam.MAPMAP1Options
toString() - Method in class jline.lib.qmam.MAPMAP1Result
toString() - Method in class jline.lib.qmam.PHPH1Options
toString() - Method in class jline.lib.qmam.PHPH1Result
toString() - Method in class jline.lib.smc.GIM1CaudalResult
toString() - Method in class jline.lib.smc.GIM1PiOptions
toString() - Method in class jline.lib.smc.MG1DecayResult
toString() - Method in class jline.lib.smc.Quadruple
toString() - Method in class jline.opt.results.OptimizationResult
toString() - Method in class jline.opt.results.WorkflowResult
toString() - Method in class jline.solvers.ag.handlers.INAPResult
toString() - Method in class jline.solvers.auto.SolverCandidate
toString() - Method in class jline.solvers.ctmc.analyzers.RewardResult
toString() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
toString() - Method in class jline.solvers.mam.MAMFJResult
toString() - Method in class jline.streaming.SSAMetricPoint
toString() - Method in class jline.util.matrix.BaseMatrix: Returns a string representation of the matrix.
toString() - Method in class jline.util.matrix.DenseMatrix: Returns a string representation of the matrix.
toString() - Method in class jline.util.matrix.Matrix: Returns a formatted string representation of the matrix.
toString() - Method in class jline.util.matrix.SparseMatrix: Returns a string representation of the matrix.
toString() - Method in class jline.util.matrix.SymMatrix
toString() - Method in class jline.util.ode.Rodas.Result
toString() - Method in class jline.util.PrecomputedTableFunction
toString() - Method in class jline.util.symbolic.SymExpr: The expression printed with the context's own variable names.
toString() - Method in class jline.util.Triple
toStruct() - Method in class jline.api.mdd.MDD: Export the diagram as plain arrays for downstream algorithms.
toTable(List<SolverCandidate>) - Static method in class jline.solvers.auto.SolverCandidate: The rows as an aligned text table, the form the CLI and a console caller want.
total - Variable in class jline.api.pfqn.sens.Pfqn_hst.Result: sum_k |c_k|, the unconstrained certificate per unit d.
totalAbandonRates - Variable in class jline.api.qsys.QsysAbandonResult: Delta_k, the total abandonment rate with k waiting; index k, so Delta_0 = 0.
totalCacheCapacity - Variable in class jline.lang.nodeparam.CacheNodeParam: Total cache capacity
totalSimulatedEvents - Variable in class jline.solvers.ldes.LDESResult: Total number of simulated service completion events
totalSolveTime - Variable in class jline.opt.results.WorkflowResult
toText() - Method in enum jline.lang.constant.HeteroSchedPolicy: Converts this policy to its text representation.
toText(int) - Static method in class jline.lang.constant.RetrialPolicy: Text representation of a retrial policy.
toText(BalkingStrategy) - Static method in enum jline.lang.constant.BalkingStrategy: Convert BalkingStrategy to human-readable text.
toText(DepartureDiscipline) - Static method in enum jline.lang.constant.DepartureDiscipline
toText(DropStrategy) - Static method in enum jline.lang.constant.DropStrategy
toText(HeteroSchedPolicy) - Static method in enum jline.lang.constant.HeteroSchedPolicy: Converts a HeteroSchedPolicy to its text representation.
toText(ImpatienceType) - Static method in enum jline.lang.constant.ImpatienceType: Convert ImpatienceType to human-readable text.
toText(PollingType) - Static method in enum jline.lang.constant.PollingType: Converts a PollingType enum value to its text representation.
toText(ProcessType) - Static method in enum jline.lang.constant.ProcessType
toText(RemovalPolicy) - Static method in enum jline.lang.constant.RemovalPolicy
toText(ReplacementStrategy) - Static method in enum jline.lang.constant.ReplacementStrategy
toText(SchedStrategy) - Static method in enum jline.lang.constant.SchedStrategy: Converts a SchedStrategy enum value to its text representation.
toText(SignalType) - Static method in enum jline.lang.constant.SignalType
toTikZ() - Method in class jline.lang.Network: Generates TikZ code for visualizing this network.
toTikZ(TikZOptions) - Method in class jline.lang.Network: Generates TikZ code with custom options.
toTikZ(LayeredNetwork) - Static method in class jline.io.LQN2UML: Generates the TikZ/LaTeX source code for the sequence diagram.
toTikZ(LayeredNetwork, SequenceDiagramOptions) - Static method in class jline.io.LQN2UML: Generates the TikZ/LaTeX source code with custom diagram options.
toTimeReversed() - Method in class jline.lang.processes.MAP
toTimeReversed() - Method in class jline.lang.processes.MarkedMAP
toTimeReversed() - Method in class jline.lang.processes.MarkedMMPP
toTimeReversed() - Method in class jline.lang.processes.MarkovChain: Get time-reversed DTMC
toTimeReversed() - Method in class jline.lang.processes.MarkovProcess: Get time-reversed CTMC
toTimeReversed() - Method in class jline.lang.processes.MMPP2
totiter - Variable in class jline.api.pfqn.mva.Pfqn_tay.Result: Number of iterations performed.
totiter - Variable in class jline.io.Ret.pfqnAMVA
totiter - Variable in class jline.io.Ret.pfqnAMVAMS
totocc - Variable in class jline.solvers.mam.handlers.Mam_bgchain_ctmc.Result: totocc[s][i]: closed jobs of any background class held by station i.
toVector(JsonArray) - Static method in class jline.solvers.ag.AgWire: The inverse of AgWire.vector(jline.util.matrix.Matrix).
tput - Variable in class jline.api.lqn.LqnBalanceEquations.Solution
tput - Variable in class jline.solvers.ln.SolverLN.LNState
tput - Variable in class jline.solvers.ln.SolverLN
tput(String) - Static method in class jline.api.infer.ObsSpec: Observe the throughput of the named element.
Tput - Enum constant in enum jline.lang.constant.MetricType
Tput - Variable in class jline.solvers.mam.handlers.Mam_bgchain_ctmc.Result: Mean completion rate per station per background class.
Tput - Variable in class jline.solvers.mam.handlers.Mam_bgchain_station.StationResult: Open departure rate.
TPUT - Enum constant in enum jline.api.infer.ObsSpec.Metric
tput_prev - Variable in class jline.solvers.ln.SolverLN
tputPrev - Variable in class jline.solvers.ln.SolverLN.LNState
tputproc - Variable in class jline.solvers.ln.SolverLN.LNState
tputproc - Variable in class jline.solvers.ln.SolverLN
TputSink - Enum constant in enum jline.lang.constant.MetricType
Trace - Class in jline.lang.processes: Alias for the Replayer class
Trace(Object) - Constructor for class jline.lang.processes.Trace: Creates a new trace from the specified data.
TRACE - Enum constant in enum jline.inference.lang.SampledFormat
TRACE - Enum constant in enum jline.lang.constant.ProcessType
trace_acf(double[]) - Static method in class jline.api.trace.Trace_var
trace_acf(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_acf(double[], int[]) - Static method in class jline.api.trace.Trace_var: Computes the autocorrelation function for trace S at the specified lags.
trace_acf(double[], int[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_bicov(double[], int[]) - Static method in class jline.api.trace.Trace_var: Computes the bicovariance of the trace.
trace_bicov(double[], int[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_gamma(double[]) - Static method in class jline.api.mam.Mamap2m_fit_gamma_fb_trace: Computes autocorrelation decay rate (gamma) from trace.
trace_gamma(double[]) - Static method in class jline.api.trace.Trace_var
trace_gamma(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_gamma(double[], int) - Static method in class jline.api.trace.Trace_var: Estimates the auto-correlation decay rate of a trace.
trace_gamma(double[], int) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_iat2bins(double[], double) - Static method in class jline.api.trace.Trace_var: Computes the counts in each bin with specified timescale.
trace_iat2bins(double[], double) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_iat2counts(double[], double) - Static method in class jline.api.trace.Trace_var: Computes the counting process of S.
trace_iat2counts(double[], double) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_idc(double[]) - Static method in class jline.api.trace.Trace_var: Computes the Index of Dispersion for Counts.
trace_idc(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_idi(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_idi(double[], int[]) - Static method in class jline.api.trace.Trace_var
trace_idi(double[], int[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_idi(double[], int[], String, int) - Static method in class jline.api.trace.Trace_var: Computes the Index of Dispersion for Intervals of a trace.
trace_joint(double[], int[], int[]) - Static method in class jline.api.trace.Trace_var: Computes joint moments E[X^{k_1}_{i} X^{k_2}_{i+j} ...] for a trace.
trace_joint(double[], int[], int[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_mean(double[]) - Static method in class jline.api.trace.Trace_mean: Computes the overall mean of the trace data.
trace_mean(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
Trace_mean - Class in jline.api.trace: Single trace mean computation.
trace_pmf(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_pmf(int[]) - Static method in class jline.api.trace.Trace_var: Computes the probability mass function of discrete data.
trace_scv(double[]) - Static method in class jline.api.trace.Trace_var: Computes the squared coefficient of variation for trace S.
trace_scv(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_shuffle(double[]) - Static method in class jline.api.trace.Trace_var: Shuffles the trace data randomly.
trace_shuffle(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_skew(double[]) - Static method in class jline.api.trace.TraceSkew: Computes the skewness of the trace data using Apache Commons Math.
trace_skew(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_skew(Collection<Double>) - Static method in class jline.api.trace.TraceSkew: Computes the skewness of the trace data using Apache Commons Math.
trace_skew(List<Double>) - Static method in class jline.api.trace.TraceSkew: Computes the skewness of the trace data using Apache Commons Math.
trace_summary(double[]) - Static method in class jline.api.trace.Trace_var: Computes comprehensive summary statistics for a trace.
trace_summary(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
trace_var(double[]) - Static method in class jline.api.trace.Trace_var: Computes the variance of the trace data.
trace_var(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
Trace_var - Class in jline.api.trace: Single trace variance computation.
TraceAnalysis - Class in jline.lib.kpctoolbox.trace
TraceAnalysis.TraceSummary - Class in jline.lib.kpctoolbox.trace: Summary statistics for a trace.
TraceData(double[], double[], double[], double[], int[], double[], int[], int[][]) - Constructor for class jline.lib.kpctoolbox.kpcfit.KPCFit.TraceData
TraceSkew - Class in jline.api.trace
TraceStatistics(double, double, double, double[], double[]) - Constructor for class jline.api.trace.Mtrace_bootstrap.TraceStatistics
TraceSummary(double, double, double, double, double, double[], double, double, double, double, double[], double, int) - Constructor for class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
trafficIntensity - Variable in class jline.api.qsys.QsysFluidAbandonResult: rho = lambda/(s*mu).
tran(NetworkStruct, double, int, double[][]) - Static method in class jline.solvers.fluid.analyzers.FluidCacheTran: Integrate the transient RMF cache trajectory for all cache nodes.
tran(NetworkStruct, double, int, double[][], Matrix, Matrix) - Static method in class jline.solvers.fluid.analyzers.FluidCacheTran: As FluidCacheTran.tran(NetworkStruct, double, int, double[][]), and with a holding-time MAP {holdD0, holdD1} also the per-cache average of the transient against that holding time, int x dF(t/Lam) / int dF(t/Lam) over the window, the drift's per-request time mapped to real time by the cache's total request rate Lam.
Tran - Variable in class jline.solvers.ctmc.CTMCResult
TRAN() - Constructor for class jline.solvers.ctmc.CTMCResult.TRAN
tranAvg() - Method in class jline.solvers.NetworkSolver
tranCdfPassT() - Method in class jline.solvers.NetworkSolver
tranCdfPassT(AvgHandle) - Method in class jline.solvers.NetworkSolver
tranCdfRespT() - Method in class jline.solvers.NetworkSolver
tranCdfRespT(AvgHandle) - Method in class jline.solvers.NetworkSolver
tranfilter - Variable in class jline.solvers.ldes.LDESOptions: Transient filter method for warmup detection and removal.
tranHandles - Variable in class jline.solvers.NetworkSolver: Handles for transient performance metrics
tranHandles() - Method in class jline.solvers.NetworkSolver
tranobs - Variable in class jline.solvers.ldes.LDESOptions: Number of equally spaced observation points of a transient trajectory (analysis over options.timespan).
tranpoints - Variable in class jline.solvers.SolverOptions: Instants the caller wants the transient trajectory AT, increasing, or null.
tranProb - Variable in class jline.solvers.ctmc.CTMCResult
tranProbAggr - Variable in class jline.solvers.ctmc.CTMCResult
tranProbAggrPit - Variable in class jline.solvers.ldes.LDESResult: Transient aggregated state probabilities per node [nodeIdx] -> [numTimePoints x numAggrStates].
TranProbAggrResult() - Constructor for class jline.solvers.ctmc.CTMCResult.TranProbAggrResult
tranProbAggrStateSpace - Variable in class jline.solvers.ldes.LDESResult: Transient aggregated state space per node [nodeIdx] -> [numAggrStates x numClasses].
tranProbPit - Variable in class jline.solvers.ldes.LDESResult: Transient state probabilities over time [numTimePoints x numStates].
TranProbResult() - Constructor for class jline.solvers.ctmc.CTMCResult.TranProbResult
tranProbStateSpace - Variable in class jline.solvers.ldes.LDESResult: Transient state space matrix [numStates x stateVectorLength].
tranProbSys - Variable in class jline.solvers.ctmc.CTMCResult
tranProbSysAggr - Variable in class jline.solvers.ctmc.CTMCResult
TranProbSysAggrResult() - Constructor for class jline.solvers.ctmc.CTMCResult.TranProbSysAggrResult
TranProbSysResult() - Constructor for class jline.solvers.ctmc.CTMCResult.TranProbSysResult
tranProbT - Variable in class jline.solvers.ldes.LDESResult: Time points for transient probability analysis.
TranQLen - Enum constant in enum jline.lang.constant.MetricType
TranRespT - Enum constant in enum jline.lang.constant.MetricType
tranReward - Variable in class jline.solvers.ldes.LDESResult: Single-run transient reward trajectory r(X(t)) per reward name.
trans - Variable in class jline.api.spn.Spn_lpbnd.SpnLpMode
trans - Variable in class jline.api.spn.Spn_mdd.SpnMode: Node index of the transition.
TransformMethod - Class in jline.solvers.tr: Method name table for TransformSolve, mirroring MATLAB matlab/src/solvers/TR/transform_method.m and python transform_driver.transform_method.
TransformSolve - Class in jline.solvers.tr: Solver-agnostic driver of a model TRANSFORMATION, the sibling of FJFixedPoint.
TransformSolve.Expanded - Class in jline.solvers.tr: What a strategy's expand phase produces: the subproblems, plus whatever state its lift needs.
TransformSolve.Inner - Class in jline.solvers.tr: One inner solve's answer, on all FOUR channels.
TransformSolve.InnerSolve - Interface in jline.solvers.tr: The inner solve, which the caller implements with its own solver class.
TransformSolve.Lifted - Class in jline.solvers.tr: The lifted metrics, in ORIGINAL class and station coordinates.
TransformSolve.Result - Class in jline.solvers.tr: What the driver answers with.
TransformSolve.Strategy - Interface in jline.solvers.tr: A transformation, as a pair of phases.
transformToAcyclic(Matrix) - Static method in class jline.lib.butools.reptrans.TransformToAcyclic
transformToAcyclic(Matrix, int) - Static method in class jline.lib.butools.reptrans.TransformToAcyclic
transformToAcyclic(Matrix, int, double) - Static method in class jline.lib.butools.reptrans.TransformToAcyclic: Transforms an arbitrary matrix to a Markovian bi-diagonal matrix.
TransformToAcyclic - Class in jline.lib.butools.reptrans
transformToMonocyclic(Matrix) - Static method in class jline.lib.butools.reptrans.TransformToMonocyclic
transformToMonocyclic(Matrix, int) - Static method in class jline.lib.butools.reptrans.TransformToMonocyclic
transformToMonocyclic(Matrix, int, double) - Static method in class jline.lib.butools.reptrans.TransformToMonocyclic: Transforms an arbitrary matrix to a Markovian monocyclic matrix.
TransformToMonocyclic - Class in jline.lib.butools.reptrans
transformToOnes(Matrix) - Static method in class jline.lib.butools.reptrans.TransformToOnes: Returns the similarity transformation matrix B such that B*clovec = ones.
TransformToOnes - Class in jline.lib.butools.reptrans: Similarity transformation mapping a closing vector to a vector of ones.
transient_method - Variable in class jline.solvers.SolverOptions.Config: CTMC transient method: "ode" (default) integrates the forward equation, "fau" marches fast adaptive uniformization (Ctmc_fau) over the output grid.
transient2(FieldMatrix<Complex>[], FieldMatrix<Complex>[], FieldMatrix<Complex>[], FieldMatrix<Complex>[], int[], int, int, Complex) - Static method in class jline.api.mam.TransientQbd: Laplace-domain transient V(s,n,m) for a finite QBD.
transient2Open(FieldMatrix<Complex>[], FieldMatrix<Complex>[], FieldMatrix<Complex>[], FieldMatrix<Complex>[], int[], int, int, Complex) - Static method in class jline.api.mam.TransientQbd: Laplace-domain transient V(s,n,m) for an open QBD.
TransientDataHandler - Class in jline.solvers.fluid.handlers: Step handler for capturing transient data during fluid solver ODE integration.
TransientDataHandler(int) - Constructor for class jline.solvers.fluid.handlers.TransientDataHandler: Constructs a transient data handler for the specified number of state dimensions.
transientProb(Matrix, double) - Method in class jline.lang.processes.MarkovProcess: Distribution at time t from pi0, by Jensen uniformization.
transientProb(Matrix, double, String) - Method in class jline.lang.processes.MarkovProcess: Distribution at time t from pi0.
transientProb(Matrix, int) - Method in class jline.lang.processes.MarkovChain: Distribution at each step 0,...,steps.
TransientProbabilityResult() - Constructor for class jline.solvers.wrappers.jmt.JMTResult.TransientProbabilityResult
TransientProbabilityResult(Matrix, Matrix) - Constructor for class jline.solvers.wrappers.jmt.JMTResult.TransientProbabilityResult
TransientQbd - Class in jline.api.mam
TransientResult - Class in jline.solvers.mam.handlers: Container for transient QBD analysis results.
TransientResult(Matrix[][], Matrix[][], Matrix[][]) - Constructor for class jline.solvers.mam.handlers.TransientResult
TransientResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, MatrixCell, double, String) - Constructor for class jline.solvers.ctmc.SolverCTMC.TransientResult
transientStations - Variable in class jline.lang.Network.RoutingErgodicityResult
transientStations - Variable in class jline.lang.RoutingErgodicity.ReducibilityInfo: Names of the stations lying in a transient component.
transientUnif(Matrix, double) - Method in class jline.lang.processes.MarkovChain: Distribution at time t of the DTMC seen through uniformization.
Transition - Class in jline.lang.nodes: Transition as in a stochastic Petri net model
Transition - Enum constant in enum jline.lang.constant.NodeType: Transition node in Petri net models - fires when enabled
Transition(Network, String) - Constructor for class jline.lang.nodes.Transition
TransitionNodeParam - Class in jline.lang.nodeparam
TransitionNodeParam() - Constructor for class jline.lang.nodeparam.TransitionNodeParam
transitionProbs - Variable in class jline.lib.m3a.M3A.PhaseTypeParameters
transitions - Variable in class jline.solvers.fluid.petri.PetriTerms
transMat - Variable in class jline.lang.processes.MarkovChain
transport - Variable in class jline.streaming.StreamingOptions: Transport type: HTTP (recommended) or GRPC
transport(StreamingOptions.TransportType) - Method in class jline.streaming.StreamingOptions: Set the transport type.
transpose() - Method in class jline.util.matrix.ComplexMatrix: Returns the transpose of this complex matrix.
transpose() - Method in class jline.util.matrix.Matrix: Computes the transpose of the current matrix.
transpose(double[][]) - Static method in class jline.util.Maths: Transposes a 2D array of values.
transpose(DMatrix, DMatrix) - Method in class jline.util.matrix.DenseMatrix: Computes the transpose of the input matrix.
transpose(DMatrix, DMatrix) - Method in class jline.util.matrix.SparseMatrix: Computes the transpose of the input matrix.
transposeMatrix(DMatrix) - Method in class jline.util.matrix.BaseMatrix: Computes the transpose of this matrix.
transposeMatrix(DMatrix) - Method in class jline.util.matrix.DenseMatrix
transposeMatrix(DMatrix) - Method in class jline.util.matrix.SparseMatrix
transposeMatrixStatic(DMatrix, DMatrix) - Static method in class jline.util.matrix.DenseMatrix
transposeMatrixStatic(DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
tranSync - Variable in class jline.solvers.ldes.LDESResult: Transient synchronization matrix for multi-class coordination
tranSync - Variable in class jline.solvers.ssa.SSAResult: Transient synchronization matrix for multi-class coordination
tranSync - Variable in class jline.solvers.ssa.SSAValues
tranSysState - Variable in class jline.solvers.ldes.LDESResult: Transient system state matrices indexed by time points
tranSysState - Variable in class jline.solvers.ssa.SSAResult: Transient system state matrices indexed by time points
tranSysState - Variable in class jline.solvers.ssa.SSAValues
tranTags - Variable in class jline.solvers.ssa.SSAResult: Per-step tags of the sampled path, as [statefulIndex, class, kind] rows with kind 0 = START and 1 = PREEMPT.
TranTput - Enum constant in enum jline.lang.constant.MetricType
TranUtil - Enum constant in enum jline.lang.constant.MetricType
tril(Matrix) - Static method in class jline.util.matrix.Matrix: Returns the lower triangular part of a matrix (zeroing elements above the main diagonal).
tril(Matrix, int) - Static method in class jline.util.matrix.Matrix: Returns the elements on and below the kth diagonal of matrix A.
Triple<A,B,C> - Class in jline.util: A generic triple container that holds three objects of potentially different types.
Triple(double, double, double) - Constructor for class jline.api.mam.Amap2_fit_gamma.Triple
Triple(A, B, C) - Constructor for class jline.lib.kpctoolbox.smp.DET.Triple
Triple(A, B, C) - Constructor for class jline.util.Triple: Constructs a new triple with the specified elements.
Triple(Triple<A, B, C>) - Constructor for class jline.util.Triple: Copy constructor that creates a new triple with the same elements as another triple.
triplets(Matrix) - Static method in class jline.solvers.ag.AgWire: Non-zero entries of M as a JSON array of [row, col, value] triplets.
triSylvester(Matrix, Matrix, Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Solves the Sylvester equation A*X - X*B = C where A (n x n) and B (m x m) are quasi-upper-triangular (real Schur form), via column-wise back-substitution (Bartels-Stewart), handling 1x1 and 2x2 diagonal blocks of B.
truncated - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: True if maxsteps stopped the sweep.
truncated - Variable in class jline.api.sim.QuantileCIResult: Observations deleted from the front of each sample path.
truncError - Variable in class jline.api.qsys.QsysBmapM1Result: Relative truncation residual at truncLevel.
truncError - Variable in class jline.api.qsys.QsysRetrialResult: Relative orbit-truncation error estimate at truncLevel.
truncLevel - Variable in class jline.api.qsys.QsysBmapM1Result: Level truncation used for the level distribution.
truncLevel - Variable in class jline.api.qsys.QsysRetrialResult
tset - Variable in class jline.solvers.ctmc.SolverCTMC.FirstPassageResult
tshift - Variable in class jline.lang.layered.LayeredNetworkStruct
Tstar - Variable in class jline.api.infer.InferLqnOptions
Tt - Variable in class jline.solvers.SolverAvgHandles: Transient throughput handles
Tt - Variable in class jline.solvers.SolverTranHandles
Tup - Variable in class jline.solvers.uq.SolverUQ.Interval: Throughput endpoints.
Tupper - Variable in class jline.solvers.ba.SolverBA.Bounds
tut01_mm1_basics() - Static method in class jline.examples.java.GettingStarted: Getting started example 1: Basic M/M/1 queue.
tut02_mg1_multiclass_solvers() - Static method in class jline.examples.java.GettingStarted: Getting started example 2: M/G/1 queue with two classes.
tut03_repairmen() - Static method in class jline.examples.java.GettingStarted: Getting started example 3: Machine Repair Problem (MRP).
tut04_lb_routing() - Static method in class jline.examples.java.GettingStarted: Getting started example 4: Load balancing with routing strategies.
tut05_completes_flag() - Static method in class jline.examples.java.GettingStarted: Getting started example 5: Class switching in single-node network.
tut06_cache_lru_zipf() - Static method in class jline.examples.java.GettingStarted: Getting started example 6: Cache modeling with Zipf access pattern.
tut07_respt_cdf() - Static method in class jline.examples.java.GettingStarted: Getting started example 7: Simple closed network for optimization.
tut08_opt_load_balancing() - Static method in class jline.examples.java.GettingStarted: Getting started example 8: Optimization with COBYLA algorithm.
tut08ResptCdf() - Static method in class jline.examples.parity.CdfRespTTwins: tut08_respt_cdf.py: one closed ring, its response-time CDF two ways.
tut09_dep_process_analysis() - Static method in class jline.examples.java.GettingStarted: Getting started example 9: Studying a departure process.
tut10_lqn_basics() - Static method in class jline.examples.java.GettingStarted: Getting started example 10: Basic layered queueing network.
tut11_random_env() - Static method in class jline.examples.java.GettingStarted: Getting started example 11: Random environments and SolverENV.
tut12_bayes_analysis() - Static method in class jline.examples.java.GettingStarted: Getting started example 12: UQ analysis with uncertain parameters.
tut13_cluster() - Static method in class jline.examples.java.GettingStarted: Getting started example 13: Open cluster.
tvar - Variable in class jline.solvers.fluid.analyzers.DaeAnalyzer: The time grid the transient covariance is reported on.
tVec - Variable in class jline.solvers.fluid.handlers.MethodStepHandler
tVec - Variable in class jline.solvers.fluid.handlers.TransientDataHandler: Time vector storing integration time points
type - Variable in class jline.api.infer.ParamSpec
type - Variable in class jline.inference.lang.SampledMetric
type - Variable in class jline.io.tikz.SequenceDiagramTraverser.Fragment
type - Variable in class jline.io.tikz.SequenceDiagramTraverser.Interaction
type - Variable in class jline.lang.JobClass
type - Variable in class jline.lang.layered.Entry
type - Variable in class jline.lang.layered.LayeredNetworkStruct
type - Variable in class jline.lang.Metric
type - Variable in class jline.lang.workflow.Workflow.SPNode: One of leaf, serial, par, or, loop.
type - Variable in class jline.solvers.uq.SolverUQ.PriorInfo

U

u - Variable in class jline.io.Ret.cacheGamma
u - Variable in class jline.io.Ret.cacheMVA
u - Variable in class jline.io.Ret.pfqnLeFpi
u - Variable in class jline.io.Ret.pfqnLeFpiZ
u - Variable in class jline.io.Ret.SVD
U - Variable in class jline.api.fes.FesMapDeaggregateResult: Utilization per station.
U - Variable in class jline.api.fj.FJ_closed.FJAmvaResult
U - Variable in class jline.api.mam.Qbd_rg.QbdCrResult
U - Variable in class jline.api.mam.Qbd_rg.QbdRgResult
U - Variable in class jline.api.mapqn.Mapqn_amva.Result
U - Variable in class jline.api.mdd.MddClosedQnResult: Utilisation: busy servers / servers, or mean busy jobs for a delay.
U - Variable in class jline.api.mdd.MddMcdResult: Per-station utilization; null when the descriptor carries no queueing parameters.
U - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: The Theorem 4 bound on E[L^j'Q], the same for every j.
U - Variable in class jline.api.pfqn.ld.Pfqn_qdamva.Result: (M x R) per-class utilizations, carrying the g scaling.
U - Variable in class jline.api.pfqn.ld.Pfqn_qdlin.Result: (M x R) per-class utilizations.
U - Variable in class jline.api.pfqn.mva.Pfqn_momlin.MomlinResult
U - Variable in class jline.api.pfqn.mva.Pfqn_mva_interval.Result: Utilization enclosures per station (M x 2).
U - Variable in class jline.api.pfqn.mva.Pfqn_mvasjn.Result: Utilizations (M x R).
U - Variable in class jline.api.pfqn.mva.Pfqn_nintmva.Result: Utilizations (M x 1).
U - Variable in class jline.api.pfqn.mva.Pfqn_sqni.PfqnSqniResult
U - Variable in class jline.api.pfqn.mva.Pfqn_tay.Result: Utilizations (M x R).
U - Variable in class jline.api.pfqn.Pfqn_marie.MultiResult
U - Variable in class jline.api.pfqn.Pfqn_marie.Result
U - Variable in class jline.api.pfqn.Pfqn_sdr.Result: Mean number in service, X elementwise times S.
U - Variable in class jline.api.pfqn.sens.Pfqn_hst.Result: Utilization of that station.
U - Variable in class jline.io.Ret.pfqnAMVA
U - Variable in class jline.io.Ret.pfqnAMVAMS
U - Variable in class jline.io.Ret.pfqnAMVASchmidt: Utilization matrix (M x R)
U - Variable in class jline.io.Ret.pfqnBkLc
U - Variable in class jline.io.Ret.pfqnDAC
U - Variable in class jline.io.Ret.pfqnManjunath
U - Variable in class jline.io.Ret.pfqnMVA
U - Variable in class jline.io.Ret.pfqnMVAC
U - Variable in class jline.io.Ret.pfqnMVACLD
U - Variable in class jline.io.Ret.pfqnMVALD
U - Variable in class jline.io.Ret.pfqnMVALDMX
U - Variable in class jline.io.Ret.pfqnSens
U - Variable in class jline.io.Ret.pfqnSensLinearizer
U - Variable in class jline.io.Ret.pfqnSensMom
U - Variable in class jline.io.Ret.pfqnSensMva
U - Variable in class jline.io.Ret.pfqnSensMvaldmx
U - Variable in class jline.io.Ret.pfqnSensRespt
U - Variable in class jline.io.Ret.snDeaggregateChainResults
U - Variable in class jline.solvers.ctmc.CTMCResult.AVG
U - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
U - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
U - Variable in class jline.solvers.SolverAvgHandles: Utilization handles [stations x classes]
U - Variable in class jline.solvers.tr.TransformSolve.Inner
U - Variable in class jline.solvers.tr.TransformSolve.Lifted
U - Variable in class jline.solvers.tr.TransformSolve.Result
U - Variable in class jline.solvers.uq.SolverUQ.PosteriorTableRow
UB - Variable in class jline.io.Ret.pfqnHarelBounds: Upper bounds UB(n) for n=2,3,...,maxN
Ubusy - Variable in class jline.solvers.mam.handlers.Mam_bgchain_ctmc.Result: Mean fraction of the servers held, per station per background class.
UCallLN - Variable in class jline.solvers.ldes.LNLDESResult: Per-call occupancy of the callee's thread pool, in job units [1 x ncalls].
UEntryClassLN - Variable in class jline.solvers.ldes.LNLDESResult: Occupancy contributed by an entry's OWN request stream, in job units [1 x nentries], indexed by local entry index.
ul - Static variable in class jline.lib.lti.cme
ULN - Variable in class jline.solvers.ldes.LNLDESResult: Utilization per LQN element [1 x nidx]
ULNCI - Variable in class jline.solvers.ldes.LNLDESResult: Utilization confidence interval half-widths [1 x nidx]
Ulo - Variable in class jline.solvers.uq.SolverUQ.Interval: Utilization endpoints.
umax - Variable in class jline.api.pfqn.mva.SjnOptions: Utilization cap at an SJN station, strictly below one.
un - Variable in class jline.api.lqn.LqnBalanceEquations.Solution
UN - Variable in class jline.api.fes.FESAggregator.ConditionalMetrics: Deprecated.

Indexed by the linearized population state; each (M_sub x K).
UN - Variable in class jline.api.lqn.Lqn_mol.Result
UN - Variable in class jline.api.mam.Mg1_dt_queue.Result
UN - Variable in class jline.api.sum.Sum_closed.Result: MxR utilizations (per-server for queueing stations, X*L for IS)
UN - Variable in class jline.api.sum.Sum_closing.Result: MxR utilizations at the original stations
UN - Variable in class jline.io.Ret.pfqnAB: Utilization matrix (M x R)
UN - Variable in class jline.io.Ret.pfqnSchmidt: Utilization matrix (M x R)
UN - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult
UN - Variable in class jline.solvers.ctmc.handlers.Ctmc_avg_from_pi.Result
UN - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
UN - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
UN - Variable in class jline.solvers.mam.handlers.MetricsResult
UN - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Avg
UN - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
UN - Variable in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer.CftpResult
UN - Variable in class jline.solvers.SolverResult: Mean server utilizations [stations x classes]
UN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
UN - Variable in class jline.solvers.tr.FJTagTransform.Lifted
UN_lo - Variable in class jline.api.lqn.Lqn_boxbounds.Result
UN_up - Variable in class jline.api.lqn.Lqn_boxbounds.Result
UNBOUNDED - Static variable in class jline.lang.Region
UNCI - Variable in class jline.solvers.ldes.LDESResult: Confidence interval half-widths for utilizations [stations x classes]
UNCI - Variable in class jline.solvers.ssa.SSAResult: Confidence interval half-widths for utilizations [stations x classes]
UndirectedGraph - Class in jline.util.graph: An undirected graph data structure with weighted edges represented as an adjacency matrix.
UndirectedGraph(Matrix) - Constructor for class jline.util.graph.UndirectedGraph
UndirectedGraph(Matrix, Set<Integer>) - Constructor for class jline.util.graph.UndirectedGraph: Constructs an undirected graph with the given adjacency matrix and column filter.
UndirectedGraph(Matrix, Set<Integer>, boolean) - Constructor for class jline.util.graph.UndirectedGraph: Constructs an undirected graph with optional weight normalization.
UNfcr - Variable in class jline.solvers.SolverResult: FCR mean utilizations (capacity utilization) [regions x classes]
unflattenP2(double[], int, int, int, int) - Static method in class jline.api.mapqn.Mapqn_qrf_noblo_mmi
UnifiedTestRunner - Class in jline.unified: Executes unified cross-language tests from JSON definitions.
UnifiedTestRunner() - Constructor for class jline.unified.UnifiedTestRunner
unifmax - Variable in class jline.inference.api.VariationalOptions
unifMaxTerms - Variable in class jline.inference.api.VariationalOptions
uniform - Variable in class jline.api.fj.GKBoundResult
uniform(double, double) - Method in class jline.opt.solver.de.NumpyRandomState: numpy uniform(low, high): scalar draw.
uniform(double, double, int) - Method in class jline.opt.solver.de.NumpyRandomState: numpy uniform(low, high, size=n): C-order fill of length n.
uniform(int) - Method in class jline.opt.solver.de.NumpyRandomState: numpy uniform(size=n) == uniform(0, 1, n).
Uniform - Class in jline.lang.processes: A continuous Uniform distribution
Uniform(double, double) - Constructor for class jline.lang.processes.Uniform
UNIFORM - Enum constant in enum jline.lang.constant.ProcessType
uniformRate - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: max_i |q_ii|, the rate ordinary uniformization would have used.
unifTol - Variable in class jline.inference.api.VariationalOptions
union(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix: Computes the union of two matrices A and B.
unique(List<T>) - Static method in class jline.util.Utils
unique_route_prob_updmap - Variable in class jline.solvers.ln.SolverLN
uniqueAndSort(Matrix) - Static method in class jline.util.Maths
uniqueInCol(int) - Method in class jline.util.matrix.Matrix: Finds unique integer values in the specified column of the matrix.
uniqueInRow(int) - Method in class jline.util.matrix.Matrix: Finds unique integer values in the specified row of the matrix.
uniqueNonNegativeInCol(int) - Method in class jline.util.matrix.Matrix: Finds unique positive values (strictly greater than 0) in the specified column.
uniqueNonNegativeInRow(int) - Method in class jline.util.matrix.Matrix: Finds unique positive values (strictly greater than 0) in the specified row.
uniqueNonZerosInCol(int) - Method in class jline.util.matrix.Matrix: Finds unique non-zero values in the specified column.
uniqueNonZerosInRow(int) - Method in class jline.util.matrix.Matrix: Finds unique non-zero values in the specified row.
uniqueRowIndexes(Matrix) - Static method in class jline.util.matrix.Matrix: Finds the indices of unique rows in a matrix without returning a matrix of the unique rows themselves.
uniqueRowIndexesFromColumn(Matrix, int) - Static method in class jline.util.matrix.Matrix: Identifies unique rows in a matrix starting from a specified column index.
UniqueRowResult - Class in jline.util
UniqueRowResult(Matrix, Matrix, Map<Integer, List<Integer>>) - Constructor for class jline.util.UniqueRowResult
uniqueRows(Matrix) - Static method in class jline.util.matrix.Matrix: Finds all unique rows in a matrix and returns the unique sorted rows, along with mapping indices to/from the original matrix.
unitBounds(int) - Static method in class jline.opt.variables.DecisionVariable
unLink() - Method in class jline.lang.Network
unreachable - Variable in class jline.api.sym.SymEngine.Passage: States that cannot reach the target at all
UNRelPrec - Variable in class jline.solvers.ldes.LDESResult: Relative precision achieved for utilizations (CI half-width / mean) [stations x classes]
unsafeSet(int, int, double) - Method in class jline.util.matrix.Matrix: Sets a value in the matrix without bounds checking.
UNSamples - Variable in class jline.solvers.ldes.LDESResult: Number of samples (observations) used for utilization estimation [stations x classes]
unsupportedFeatures(FeatureSet, FeatureSet) - Static method in class jline.lang.FeatureSet: The names of the used features the given feature set does not cover, as a list rather than a message.
unsupportedMethodReason(String) - Method in class jline.solvers.ctmc.SolverCTMC: The forwarding address for the QRF reduction bounds, which are SolverBA's.
unsupportedMethodReason(String) - Method in class jline.solvers.mam.SolverMAM: The forwarding address for the RCAT names, which are SolverAG's now.
unsupportedMethodReason(String) - Method in class jline.solvers.NetworkSolver: A BY-NAME explanation for a method this solver does not implement, or an empty string when it has none.
unsupportedMethodReason(String) - Method in class jline.solvers.wrappers.jmt.SolverJMT: The by-name refusal checkDeclaredMethod raises for a removed JMT method.
UNt - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
UNt - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
UNt - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
UNt - Variable in class jline.solvers.ln.LNTranAvgResult: Transient utilizations, block-diagonal [rows][cols]; each cell Tmax x 1 or null.
UNt - Variable in class jline.solvers.SolverResult: Transient utilizations [time_points][stations x classes]
update(int, double) - Method in class jline.util.IndexedMinHeap: Update the priority of reaction k and restore heap order.
update_paddings_dense(NetworkStruct, Map<Integer, Matrix>, Matrix, DMatrixRMaj) - Static method in class jline.solvers.ssa.handlers.Solver_ssa
updateClasses(List<JobClass>) - Method in class jline.lang.sections.StatelessClassSwitcher
updateClassSwitch(Matrix) - Method in class jline.lang.sections.StatelessClassSwitcher
UpdatedWorkflow(Matrix, Map<Integer, Wf_pattern_updater.ServiceParameters>) - Constructor for class jline.api.wf.Wf_pattern_updater.UpdatedWorkflow
updateLayers(int) - Method in class jline.solvers.ln.SolverLN
updateLayersPH(int) - Method in class jline.solvers.ln.SolverLN: Push the composed laws into the layers.
updateMetrics(int) - Method in class jline.solvers.ln.SolverLN
updateMetricsDefault(int) - Method in class jline.solvers.ln.SolverLN
updateMetricsMomentBased(int) - Method in class jline.solvers.ln.SolverLN
updateMetricsPH(int) - Method in class jline.solvers.ln.SolverLN: Reconstruct the LQN metrics.
updateNetworkStruct(NetworkStruct) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Updates the internal network structure used for model conversion.
updateNetworkStruct(NetworkStruct) - Method in class jline.solvers.wrappers.jmt.io.JMTIO: Updates the network structure in the SaveHandlers.
updatePatterns(Matrix, List<Integer>, List<Integer>, List<Integer>, List<Integer>, Map<Integer, Wf_pattern_updater.ServiceParameters>) - Static method in class jline.api.wf.Wf_pattern_updater
updatePopulations(int) - Method in class jline.solvers.ln.SolverLN
updateRate(double) - Method in class jline.lang.processes.Exp: Updates the rate parameter of this exponential distribution.
updateRefPathStages(int) - Method in class jline.solvers.ln.SolverLN: Recompute the service time of every reference-path stage from the current iterate (port of updateRefPathStages.m).
updateRoutingProbabilities(int) - Method in class jline.solvers.ln.SolverLN
updateRtorig(Map<JobClass, Map<JobClass, Matrix>>) - Method in class jline.lang.Network: Updates sn.rtorig without replacing the entire NetworkStruct.
updateSolver(SolverFactory) - Method in class jline.solvers.ln.SolverLN: Change the solver for all layers.
updateThinkTimes(int) - Method in class jline.solvers.ln.SolverLN
updateThinkTimesPH(int) - Method in class jline.solvers.ln.SolverLN: Surrogate delay of every caller.
upper - Variable in class jline.api.sim.QuantileCIResult: Upper confidence limit.
upperBound - Variable in class jline.api.fj.GKBoundResult
upperBoundViolation(double, double) - Static method in class jline.opt.objectives.Constraint: Violation for an upper-bound constraint (actual <= bound).
UQ - Class in jline.solvers.uq: UQ is an alias for SolverUQ (Bayesian-style parameter uncertainty analysis).
UQ - Enum constant in enum jline.lang.constant.SolverType
UQ(Network, SolverUQ.SolverFactory) - Constructor for class jline.solvers.uq.UQ
UQ(Network, SolverUQ.SolverFactory, SolverOptions) - Constructor for class jline.solvers.uq.UQ
URL_ENV - Static variable in class jline.api.sym.SymEngines: Environment variable naming a service to use.
uround - Variable in class jline.util.ode.Rodas.Options
Ut - Variable in class jline.solvers.SolverAvgHandles: Transient utilization handles
Ut - Variable in class jline.solvers.SolverTranHandles
util - Variable in class jline.api.lqn.LqnBalanceEquations.Solution
util - Variable in class jline.solvers.ln.SolverLN.LNState
util - Variable in class jline.solvers.ln.SolverLN
util(String) - Static method in class jline.api.infer.ObsSpec: Observe the utilization of the named element (typically a processor).
Util - Enum constant in enum jline.lang.constant.MetricType
Util - Enum constant in enum jline.lang.reward.RewardDescriptor.Kind
Util - Variable in class jline.solvers.mam.handlers.Mam_bgchain_station.StationResult: Mean fraction of the servers held by open jobs.
UTIL - Enum constant in enum jline.api.infer.ObsSpec.Metric
util_ph1 - Variable in class jline.solvers.ln.SolverLN
util_ph2 - Variable in class jline.solvers.ln.SolverLN
utilization - Variable in class jline.api.dqsys.Bernoulli1Result: Fraction of slots with the server busy, 1 - pi(0).
utilization - Variable in class jline.api.qsys.Qsys_mmck.Result: Per-server utilization, lambdaEff/(c*mu).
utilization - Variable in class jline.api.qsys.QsysAbandonResult: E[min(N,s)]/s, the fraction of servers busy.
utilization - Variable in class jline.api.qsys.QsysBmapM1Result: Server utilization, equal to rho.
utilization - Variable in class jline.api.qsys.QsysFluidAbandonResult: min(rho,1).
utilization - Variable in class jline.api.qsys.QsysMapG1kResult: 1 - p0.
utilization - Variable in class jline.api.qsys.QsysMmapG1kResult: 1 - p0.
utilization - Variable in class jline.api.qsys.QsysTvFluidResult: B/s, the fraction of capacity in use.
utilization - Variable in class jline.solvers.mam.handlers.BMAPMAP1Result: Server utilization rho
utilization - Variable in class jline.solvers.mam.handlers.MAPBMAP1Result
utilization(int, int, double, long) - Static method in class jline.streaming.SSAMetricPoint: Create a utilization metric point.
utilization(int, int, String, String, double, long) - Static method in class jline.streaming.SSAMetricPoint: Create a utilization metric point with station/class names.
utilization(NetworkStruct, int, Matrix, Matrix, int, int, Matrix, Matrix, int) - Static method in class jline.solvers.ctmc.handlers.Solver_ctmc_pools: Pooled utilization over the whole server bank, as in LDES: UN(i,k) = E[sir_k]/nservers.
utilization(Node) - Static method in class jline.lang.reward.Reward: Utilization reward: min(jobs, nservers) at a node, over all classes.
utilization(Node, JobClass) - Static method in class jline.lang.reward.Reward: Utilization reward: min(class jobs, nservers) at a node.
Utilization - Variable in class jline.api.qsys.QsysRetrialResult
UtilizationConstraint - Class in jline.opt.objectives: Utilization constraint: U <= maxValue.
UtilizationConstraint(String, double, String) - Constructor for class jline.opt.objectives.UtilizationConstraint
UtilizationConstraint(Station, double) - Constructor for class jline.opt.objectives.UtilizationConstraint
utilizationError(Matrix, Matrix, Network) - Static method in class jline.bench.BenchmarkUtils: Calculate utilization error for benchmarks Excludes delay stations (row 0) from comparison
utilizations - Variable in class jline.opt.results.EvaluationResult
utilPeak - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld: The capacity that normalizes the utilization: max(c, max(alpha)), the LARGEST factor the load-dependence table declares rather than the saturated one, since a non-monotone alpha peaks in the middle.
Utils - Class in jline.util: Miscellaneous utilities
Utils() - Constructor for class jline.util.Utils
Utils.MapeResult - Class in jline.util: Container class for MAPE calculation results
Uup - Variable in class jline.solvers.uq.SolverUQ.Interval: Utilization endpoints.

V

v - Variable in class jline.api.mapqn.LinearReductionParameters
v - Variable in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
v - Variable in class jline.api.mapqn.Mapqn_bnd_qr_ld.QuadraticLDParameters
v - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
v - Variable in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
v - Variable in class jline.api.mapqn.MVAVersionParameters
v - Variable in class jline.api.qsys.QsysTvFluidResult: Potential waiting time of a quantum arriving now with infinite patience.
v - Variable in class jline.io.Ret.pfqnLeFpiZ
v - Variable in class jline.io.Ret.SVD
v - Variable in class jline.solvers.fluid.petri.PetriClosures.MinMulti: Var[min] before the cap, carried for the caller's report.
V - Variable in class jline.api.npfqn.Npfqn_bnd_bgt.Result: The per-station slack V_j.
V - Variable in class jline.api.spn.Spn_sinvariants.SpnInvariants: V = S m0, the load vector.
V - Variable in class jline.io.Ret.snGetProductFormParams
V - Variable in class jline.lang.state.CtmcMapc: Landing probabilities V = (-D0)^-1 D1 of the original MAP.
V - Variable in class jline.solvers.fluid.moments.FluidRefineMeanfield.Result: The (n x 1) correction to be added to x.
v_idx - Variable in class jline.util.graph.DirectedGraph.SCCAuxResult
v_low - Variable in class jline.util.graph.DirectedGraph.SCCAuxResult
v_stk - Variable in class jline.util.graph.DirectedGraph.SCCAuxResult
valid - Variable in class jline.lang.workflow.Workflow.SPNode: True when the cached law is up to date.
validate() - Method in class jline.api.mapqn.LinearReductionParameters
validate() - Method in class jline.api.mapqn.Mapqn_bnd_lr_pf.PFParameters
validate() - Method in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
validate() - Method in class jline.api.mapqn.Mapqn_bnd_qr_ld.QuadraticLDParameters
validate() - Method in class jline.api.mapqn.Mapqn_parameters
validate() - Method in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
validate() - Method in class jline.api.mapqn.Mapqn_qr_bounds_rsrd_parameters
validate() - Method in class jline.api.mapqn.MVAVersionParameters
validate() - Method in class jline.api.sim.QuestOptions: Rejects inadmissible option values.
validate() - Method in class jline.lang.workflow.Workflow
validate() - Method in class jline.opt.OptimizationProblem
validateAnalysis(Wf_analyzer.WorkflowAnalysis) - Method in class jline.api.wf.Wf_analyzer
validateBranchPattern(Wf_branch_detector.BranchPattern, Matrix) - Static method in class jline.api.wf.Wf_branch_detector
validateCompatibility() - Method in class jline.lang.nodes.Queue: Checks if all job classes have at least one compatible server type.
validateFile(String) - Static method in class jline.io.WfCommonsLoader: Validate if a file is a valid WfCommons JSON.
validateForwardingProbability(double) - Method in class jline.lang.layered.Entry: Validate that a forwarding probability is valid and that the sum of all forwarding probabilities does not exceed 1.0.
validateIndexSpace() - Method in class jline.lang.layered.LayeredNetworkStruct: Checks the index-base invariants of this struct.
validateLoopPattern(int, Matrix, List<Integer>) - Static method in class jline.api.wf.Wf_loop_detector
validateMMAP(MatrixCell) - Static method in class jline.lib.m3a.M3aUtils: Validates that a matrix represents a valid MMAP.
validateParallelPattern(List<Integer>, Matrix, List<Integer>, List<Integer>) - Static method in class jline.api.wf.Wf_parallel_detector
validateSequence(List<Integer>, Matrix) - Static method in class jline.api.wf.Wf_sequence_detector: Validate that a sequence chain is properly connected.
validateStructuralConsistency() - Method in class jline.lang.NetworkStruct: Validates the structural consistency of stations, stateful nodes, and nodes according to MATLAB implementation requirements.
validateUpdatedWorkflow(Wf_pattern_updater.UpdatedWorkflow) - Static method in class jline.api.wf.Wf_pattern_updater
validateWorkflow() - Method in class jline.api.wf.WorkflowManager
validateWorkflowEnhancement() - Method in class jline.api.wf.Wf_auto_integration
ValidationLevel - Enum in jline.api.sn: Validation level for SN setter methods.
validCount - Variable in class jline.util.Utils.MapeResult
vals - Variable in class jline.api.mdd.MddLocalMatrix: vals[i] holds the values of the nonzeros of row i, aligned with cols[i].
value - Variable in class jline.api.snc.SncResult: The bound: a violation probability, a quantile or a mean bound.
value - Variable in class jline.lang.sections.Forker.ForkOverride
value - Variable in class jline.lib.perm.PermSolver
value - Variable in class jline.solvers.ctmc.SolverCTMC.SensitivityParameter: Nominal value of theta
value - Variable in class jline.solvers.fluid.moments.FluidClosures.ValueDeriv
value - Variable in class jline.streaming.SSAMetricPoint: Metric value
value - Variable in class jline.util.matrix.MatrixEntry: Value of the entry.
value - Variable in class jline.util.NamedParam: The parameter value
value() - Method in class jline.util.matrix.Matrix: Returns the value at position (0, 0).
value() - Method in class jline.util.symbolic.SymExpr
value(double) - Method in interface jline.api.qsys.Qsys_mg1_ps.ServicePDF
value(int, double) - Method in class jline.util.ode.Rodas.Dense: Component i (0-BASED) of the solution at x.
value(Complex) - Method in interface jline.api.qsys.Qsys_mg1_ps.ServiceLST
ValueDeriv(double, double) - Constructor for class jline.solvers.fluid.moments.FluidClosures.ValueDeriv
ValueDeriv(double, double, double) - Constructor for class jline.solvers.fluid.moments.FluidClosures.ValueDeriv
valuemap - Variable in class jline.api.mdd.MddDescriptor: valuemap[i][idx] is the physical occupancy of station i in local state idx.
valueOf(String) - Static method in enum jline.api.dqsys.GeoGeo1Convention: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.api.fj.FJ_charmax_ext.DiscreteDist: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.api.infer.ObsSpec.Metric: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.api.infer.ParamSpec.Type: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.api.npfqn.Npfqn_sqd.NeighborMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.api.npfqn.Npfqn_sqd.V1Policy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.api.qsys.Patience.Form: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.api.qsys.QsysServiceLaw.Kind: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.api.sn.ModifyMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.api.sn.ValidationLevel: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.bench.fj.BenchFJ_Template.FJConfig: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.inference.lang.SampledFormat: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.io.LQN2UML.Format: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.io.ModelVisualizer.EdgeType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.io.ModelVisualizer.NodeType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.io.tikz.SequenceDiagramTraverser.Fragment.FragmentType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.io.tikz.SequenceDiagramTraverser.Interaction.Type: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.io.WfCommonsOptions.DistributionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.BalkingStrategy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.CallType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.DepartureDiscipline: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.DropStrategy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.EventType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.HeteroSchedPolicy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.ImpatienceType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.JobClassType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.JoinStrategy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.MetricType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.NodeType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.PollingType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.ProcessType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.RemovalPolicy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.ReplacementStrategy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.RoutingStrategy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.SchedStrategy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.SchedStrategyType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.ServiceStrategy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.SignalType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.SolverType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.constant.TimingStrategy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lang.reward.RewardDescriptor.Kind: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lib.butools.mam.GM1FundamentalMatrix.GM1Method: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lib.butools.mam.MG1FundamentalMatrix.MG1Method: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lib.kpctoolbox.aph.APH.ConvolutionPattern: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.lib.m3a.M3aCompressMethod: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.solvers.wrappers.jmt.SolverJMT.ViewMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.streaming.StreamingOptions.StreamMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.streaming.StreamingOptions.TransportType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum jline.VerboseLevel: Returns the enum constant of this type with the specified name.
values - Variable in class jline.io.Ret.Eigs
values - Variable in class jline.solvers.uq.SolverUQ.EmpiricalCDF
values() - Static method in enum jline.api.dqsys.GeoGeo1Convention: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.api.fj.FJ_charmax_ext.DiscreteDist: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.api.infer.ObsSpec.Metric: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.api.infer.ParamSpec.Type: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.api.npfqn.Npfqn_sqd.NeighborMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.api.npfqn.Npfqn_sqd.V1Policy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.api.qsys.Patience.Form: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.api.qsys.QsysServiceLaw.Kind: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.api.sn.ModifyMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.api.sn.ValidationLevel: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.bench.fj.BenchFJ_Template.FJConfig: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.inference.lang.SampledFormat: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.io.LQN2UML.Format: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.io.ModelVisualizer.EdgeType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.io.ModelVisualizer.NodeType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.io.tikz.SequenceDiagramTraverser.Fragment.FragmentType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.io.tikz.SequenceDiagramTraverser.Interaction.Type: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.io.WfCommonsOptions.DistributionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.BalkingStrategy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.CallType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.DepartureDiscipline: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.DropStrategy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.EventType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.HeteroSchedPolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.ImpatienceType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.JobClassType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.JoinStrategy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.MetricType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.NodeType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.PollingType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.ProcessType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.RemovalPolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.ReplacementStrategy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.RoutingStrategy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.SchedStrategy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.SchedStrategyType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.ServiceStrategy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.SignalType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.SolverType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.constant.TimingStrategy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lang.reward.RewardDescriptor.Kind: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lib.butools.mam.GM1FundamentalMatrix.GM1Method: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lib.butools.mam.MG1FundamentalMatrix.MG1Method: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lib.kpctoolbox.aph.APH.ConvolutionPattern: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.lib.m3a.M3aCompressMethod: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.solvers.wrappers.jmt.SolverJMT.ViewMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.streaming.StreamingOptions.StreamMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.streaming.StreamingOptions.TransportType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum jline.VerboseLevel: Returns an array containing the constants of this enum type, in the order they are declared.
valuesKey(Map<String, Object>) - Static method in class jline.opt.LineEvaluator
var - Variable in class jline.api.qsys.QsysLindleyResult: Conditional variance, one entry per supplied current waiting time.
var() - Method in class jline.lang.processes.Coxian: Property alias for getVar
var() - Method in class jline.lang.processes.Det: Property alias for getVar
var() - Method in class jline.lang.processes.Distribution: Property alias for getVar
var() - Method in class jline.lang.processes.Erlang: Property alias for getVar
var() - Method in class jline.lang.processes.Exp: Property alias for getVar
var() - Method in class jline.lang.processes.Gamma: Property alias for getVar
var() - Method in class jline.lang.processes.HyperExp: Property alias for getVar
var() - Method in class jline.lang.processes.Lognormal: Property alias for getVar
var() - Method in class jline.lang.processes.Markovian: Property alias for getVar
var() - Method in class jline.lang.processes.Pareto: Property alias for getVar
var() - Method in class jline.lang.processes.PH: Property alias for getVar
var() - Method in class jline.lang.processes.Uniform: Property alias for getVar
var() - Method in class jline.lang.processes.Weibull: Property alias for getVar
var(String) - Method in class jline.util.symbolic.SymContext: The variable of the given name as an expression.
Var - Variable in class jline.io.Ret.pfqnSensLinearizer
Var - Variable in class jline.io.Ret.pfqnSensMom
Var - Variable in class jline.io.Ret.pfqnSensRespt
Var - Variable in class jline.solvers.NetworkMomentStationResult: M x 1, Var[Q_i].
varCond - Variable in class jline.api.qsys.QsysMg1PsResult: Conditional variance of V(x).
variables - Variable in class jline.opt.decomposition.SubProblem
variablesFixed - Variable in class jline.opt.results.SubProblemResult
variableType - Variable in class jline.opt.decomposition.SubProblem
variableValues - Variable in class jline.opt.results.OptimizationResult
variance - Variable in class jline.api.fj.FJ_tail_forktail.ResptMoments
variance() - Method in class jline.api.fj.FJ_quorum.StepCDF: Variance of the distribution described by this CDF, clamped at zero.
variance() - Method in class jline.lang.processes.Markovian: Property alias for getVariance
varianceReductionMethod - Variable in class jline.solvers.ldes.LDESResult: Variance reduction method used during simulation.
variant - Variable in class jline.bench.fj.BenchFJ_Closed.BenchmarkResult
variant - Variable in class jline.bench.fj.BenchFJ_Mixed.BenchmarkResult
variant - Variable in class jline.bench.fj.BenchFJ_Open.BenchmarkResult
variant - Variable in class jline.inference.lang.EstimatorOptions
variates - Variable in class jline.solvers.SolverOptions.Config: Variance reduction technique for LDES simulation.
variational - Variable in class jline.inference.lang.EstimatorOptions: Options of the variational estimator ("vi").
VariationalOptions - Class in jline.inference.api: Options of Infer_variational.
VariationalOptions() - Constructor for class jline.inference.api.VariationalOptions
VariationalResult - Class in jline.inference.api: Outcome of Infer_variational.
VariationalResult() - Constructor for class jline.inference.api.VariationalResult
VariationalSpec - Class in jline.inference.api: Inference problem handed to Infer_variational.
VariationalSpec() - Constructor for class jline.inference.api.VariationalSpec
varNumber - Variable in class jline.api.qsys.QsysAbandonResult: Var[N].
varNumber - Variable in class jline.api.qsys.QsysMtginfResult: Equal to meanNumber, the law being Poisson.
varpos - Variable in class jline.lang.state.CtmcPool: 0-based position of the pool-order variable inside the local-variable block.
varQueueLength - Variable in class jline.api.qsys.QsysAbandonResult: Var[Q].
varsparam - Variable in class jline.lang.NetworkStruct
varUncond - Variable in class jline.api.qsys.QsysMg1PsResult: Unconditional variance of the sojourn time.
varWaitAbandon - Variable in class jline.api.qsys.QsysAbandonResult: Var[W|A].
varWaitServed - Variable in class jline.api.qsys.QsysAbandonResult: Var[W|S].
Vchain - Variable in class jline.io.Ret.snGetDemands
Vchain - Variable in class jline.lang.ModelAdapter.DeaggInfo
vec(Matrix) - Static method in class jline.lib.butools.mam.FluidTools: Column-major reshape of M into a single column vector.
vectmatch(double[], Matrix) - Static method in class jline.lib.fjcodes.FjCodesUtils: Find the 1-based index of the row in matrix that matches row elementwise (within 1e-10), or -1 if no row matches.
vectmatch(double[], Matrix) - Static method in class jline.lib.fjcodes.FJUtils: Find the row index in a matrix that matches a given row vector.
vector(Matrix) - Static method in class jline.solvers.ag.AgWire: A stationary vector as a JSON array.
vectors - Variable in class jline.io.Ret.Eigs
vEntry - Variable in class jline.api.lqn.LqnRefRoutes.Group: Mean invocations of each entry per REF cycle.
verbose - Variable in class jline.api.infer.InferLqnOptions
verbose - Variable in class jline.api.mdd.MddMcdOptions: Print a summary of the level sizes and the iteration count.
verbose - Variable in class jline.api.spn.Spn_lpbnd.SpnLpOptions: Print the polytope size.
verbose - Variable in class jline.api.spn.Spn_mdd.SpnOptions
verbose - Variable in class jline.api.spn.Spn_pf.SpnPfOptions
verbose - Variable in class jline.inference.api.VariationalOptions
verbose - Variable in class jline.inference.lang.EstimatorOptions
verbose - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitPhOptions
verbose - Variable in class jline.lib.qmam.MAPMAP1Options
verbose - Variable in class jline.lib.qmam.MAPMcOptions
verbose - Variable in class jline.lib.qmam.MMAPKPHK1Options
verbose - Variable in class jline.lib.qmam.PHPH1Options
verbose - Variable in class jline.lib.qmam.Q_RAP_RAP_1.RAPRAP1Options
verbose - Variable in class jline.lib.smc.GIM1_R.GIM1ROptions
verbose - Variable in class jline.lib.smc.GIM1PiOptions
verbose - Variable in class jline.opt.solver.LineOptSolverOptions
verbose - Variable in class jline.solvers.SolverOptions: Verbosity level for solver output
verbose(boolean) - Method in class jline.solvers.SolverOptions: Sets the verbosity level using a boolean flag (builder pattern).
verbose(VerboseLevel) - Method in class jline.solvers.SolverOptions: Sets the verbosity level for solver output (builder pattern).
Verbose - Static variable in class jline.GlobalConstants: Global verbosity level for solver output
VerboseLevel - Enum in jline: Enumeration for specifying solver verbosity levels.
version - Variable in class jline.bench.BenchmarkRegression.RegressionBaseline
Version - Static variable in class jline.GlobalConstants: LINE solver version
vi - Variable in class jline.util.UniqueRowResult
view() - Method in class jline.lang.layered.LayeredNetwork: Views the layered network model using ModelVisualizer.
view() - Method in class jline.lang.Network
view(LayeredNetwork) - Static method in class jline.io.LQN2UML: Displays the sequence diagram in a PDF viewer.
view(LayeredNetwork, SequenceDiagramOptions) - Static method in class jline.io.LQN2UML: Displays the sequence diagram in a PDF viewer with custom options.
viewModel(String) - Static method in class jline.lang.layered.LayeredNetwork: Views a layered queueing network model using the default JLQN path.
viewModel(String, String) - Static method in class jline.lang.layered.LayeredNetwork: Views a layered queueing network model using the specified JLQN path.
viewModel(String, String, SolverJMT.ViewMode) - Static method in class jline.solvers.wrappers.jmt.SolverJMT
viewModel(String, String, SolverJMT.ViewMode, VerboseLevel) - Static method in class jline.solvers.wrappers.jmt.SolverJMT
viewModel(String, SolverJMT.ViewMode) - Static method in class jline.solvers.wrappers.jmt.SolverJMT
violation(double[]) - Method in class jline.solvers.fluid.moments.FluidConservationGuard
visits - Variable in class jline.api.lqn.LqnBalanceEquations.Result: (nidx+1) expected executions of each activity per invocation of its entry, indexed 1-BASED by absolute element index; slot 0 is the unused pad.
visits - Variable in class jline.lang.Chain
visits - Variable in class jline.lang.NetworkStruct
vj - Variable in class jline.util.UniqueRowResult
vmax - Variable in class jline.api.pfqn.Pfqn_sdr.Coeff: Largest subnetwork population with omega nonnegative; infinite when C_t >= 0.
Vmax - Variable in class jline.api.fj.FJ_xmax.FJXmaxNormalResult
Vp - Variable in class jline.api.sim.QuantileCIResult: Combined estimator of the variance parameter.
Vp - Variable in class jline.api.sim.StsQuantileStats: Combined estimator of the variance parameter, NaN when b < 2.
vsad - Variable in class jline.api.pfqn.nc.Pfqn_nre.Result: The tilt actually used (1xd), null when no saddle point was solved.
vstack(Matrix, Matrix) - Static method in class jline.lib.butools.mam.FluidTools: [A; B] stacked (handles zero-dimension blocks).

W

w - Variable in class jline.api.mc.Ctmc_foxglynn.FoxGlynnWeights
w - Variable in class jline.api.qsys.QsysTvFluidResult: Boundary waiting time, the age of the oldest fluid still waiting.
W - Variable in class jline.api.dpfqn.DpfqnNcLdResult: Time-stationary node weights w_j(n), indexed [j][n] with n = 0..N.
W - Variable in class jline.api.fj.FJ_parallel.FJIsmGreenResult
W - Variable in class jline.api.mdd.MddEvent: Local matrices at the levels named by lev.
W - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: W_0..W_4 of eq.
W - Variable in class jline.api.pfqn.mva.Pfqn_mvasjn.Profile: Conditional waiting times (ngrid x R).
W - Variable in class jline.api.pfqn.PfqnResptPsResult: Per-class mean sojourn times; NaN where no route applies.
W - Variable in class jline.api.qsys.QsysMm1PsResult: Per-class mean sojourn times.
W - Variable in class jline.api.qsys.QsysTandemPathResult: Waiting times, W[n][k] for customer n at station k.
W - Variable in class jline.api.qsys.QsysTandemUbResult: Upper bound on P(W > x); NaN unless the service law is exponential.
W - Variable in class jline.io.Ret.LinearizerResult
W - Variable in class jline.io.Ret.pfqnSensLinearizer
W - Variable in class jline.io.Ret.pfqnSensRespt
W - Static variable in class jline.io.Ret.qsys_prio
W - Static variable in class jline.io.Ret.qsys
W - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
W - Variable in class jline.solvers.SolverAvgHandles: Residence time handles [stations x classes]
W2 - Variable in class jline.api.pfqn.PfqnResptPsResult: Per-class second moments of the sojourn time; NaN where no route applies.
W2 - Variable in class jline.api.qsys.QsysMm1PsResult: Per-class second moments of the sojourn time.
wa - Variable in class jline.solvers.fluid.petri.PetriImmediate.Row
Wa - Variable in class jline.api.dpfqn.DpfqnNcLdResult: Arrival node weights v_j(n) = w_j(n) q_j(n) of proposition 3.5.
wait_alpha - Variable in class jline.lib.fjcodes.ReturnWaitResult
wait_Smat - Variable in class jline.lib.fjcodes.ReturnWaitResult
waitAlpha - Variable in class jline.lib.qmam.MAPMAP1Result
waitAlpha - Variable in class jline.lib.qmam.MAPMcResult
waitAlpha - Variable in class jline.lib.qmam.MMAPKPHK1Result
waitAlpha - Variable in class jline.lib.qmam.PHPH1Result
WaitingQueue - Enum constant in enum jline.lang.constant.DropStrategy
waitingTime - Variable in class jline.lib.qmam.MAPDcResult
waitPoints - Variable in class jline.api.qsys.QsysAbandonResult: The times at which the waiting-time cdfs were evaluated, null when not requested.
waitT - Variable in class jline.lib.qmam.PHPH1Result
waitUntilReady(long) - Method in class jline.streaming.MockOtlpReceiver: Waits until the server is ready to accept connections.
wanted(SolverOptions) - Static method in class jline.io.LineConsole: Resolve whether a run with these options should narrate.
WarmStart - Class in jline.solvers: Warm-start placement computation shared by the solvers that can start from an auxiliary solver's steady-state solution (LDES, SSA, JMT, Fluid).
warmStartPlacement(NetworkSolver, NetworkStruct) - Static method in class jline.solvers.WarmStart: Integer job placement (nstations x nclasses) decided by the steady-state solution of the auxiliary solver.
warmup - Variable in class jline.solvers.SolverOptions.Config: Warmup length as an ABSOLUTE number of samples to discard; null leaves the transient filter on SolverOptions.Config.warmupfrac.
warmupfrac - Variable in class jline.solvers.ldes.LDESOptions: Warmup fraction when using fixed transient filter.
warmupfrac - Variable in class jline.solvers.SolverOptions.Config: SSA warmup discard fraction.
warnHeteroRates(int) - Method in class jline.solvers.wrappers.jmt.handlers.SaveHandlers: Warns that per-server-type service rates cannot reach the JMT engine.
warnings - Variable in class jline.api.sim.QuantileCIResult: Diagnostic messages, empty on a clean run.
warnings - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
warnings - Variable in class jline.solvers.ldes.LDESResult: Warnings the run raised that a subprocess client must re-raise, since it does not see the engine's console (e.g.
wb - Variable in class jline.solvers.fluid.petri.PetriImmediate.Row
Wbar - Variable in class jline.api.mam.Map_m1ps.SojournResult: 1 x numel(x), Pr[W > x].
WbarN - Variable in class jline.api.mam.Map_m1ps.SojournResult: (N+1) x numel(x), the CCDF conditional on the arrival finding n customers already in the system, n = 0..N.
wctr - Variable in class jline.lang.state.Polling.Info: Whether the pos/swk/ctr columns are materialized.
weaklyconncomp(Matrix) - Static method in class jline.lib.kpctoolbox.mc.CTMC: Finds weakly connected components in a directed graph.
weaklyConnect(Matrix, Set<Integer>) - Static method in class jline.util.matrix.Matrix: Weakly-connected components of a sub-matrix.
weaklyReversible - Variable in class jline.api.spn.Spn_pf.SpnPfResult
WEEKS_DEFAULT_P0 - Static variable in class jline.api.lti.Laplace_invert: Default number of trapezoid pairs in the Laguerre quadrature.
WeeksParams - Class in jline.api.lti: A Laguerre expansion: the exponential damping, the time scaling and the coefficients they were computed at.
WeeksParams(double, double, double[]) - Constructor for class jline.api.lti.WeeksParams
Weibull - Class in jline.lang.processes: A Weibull distribution
Weibull(double, double) - Constructor for class jline.lang.processes.Weibull
WEIBULL - Enum constant in enum jline.lang.constant.ProcessType
weight - Variable in class jline.api.sim.QuestOptions: Constant STS weight function.
weight - Variable in class jline.lang.FJSync
weight - Variable in class jline.lang.Graph.Edge
weight - Variable in class jline.lang.ModeEvent
weight - Variable in class jline.solvers.fluid.petri.PetriMode
weight(int) - Method in class jline.api.mc.Ctmc_foxglynn.FoxGlynnWeights
weightedOutlinks - Variable in class jline.lang.NodeParam: Weighted round-robin cycle by job class: the outlink node indices with each destination repeated by its integer weight.
WeightNfcr - Variable in class jline.solvers.SolverResult: FCR mean total weight (time-average of sum of per-class classWeight times in-region job count), the JMT "FCR Total Weight" measure [regions x classes].
weights - Variable in class jline.lang.NodeParam: Routing weights by job class - controls probabilistic routing decisions
weights - Variable in class jline.lang.processes.Prior.Design: The weight of each design point; sums to 1.
weights - Static variable in class jline.lib.lti.laguerre
weights(int) - Static method in class jline.api.sim.Sim_shapirowilk: Royston AS R94 antisymmetric weight vector, a[n-1-i] = -a[i].
weightTail - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: Mass reaching the overflow index, that is P{N(t) > K}.
weightWindow - Variable in class jline.api.mc.Ctmc_fau.CtmcFauResult: Poisson mass outside the Fox-Glynn window of the weights.
wf - Variable in class jline.api.lqn.LqnPh.EntryWorkflow: Workflow whose leaves are the activities (and calls) of the entry.
Wf_analyzer - Class in jline.api.wf: Main workflow analyzer that coordinates pattern detection and optimization.
Wf_analyzer(Network) - Constructor for class jline.api.wf.Wf_analyzer
Wf_analyzer.DetectedPatterns - Class in jline.api.wf: All detected patterns.
Wf_analyzer.NodeClassification - Class in jline.api.wf: Node classification result.
Wf_analyzer.WorkflowAnalysis - Class in jline.api.wf: Comprehensive workflow analysis result.
Wf_analyzer.WorkflowRepresentation - Class in jline.api.wf: Workflow in matrix form.
Wf_auto_integration - Class in jline.api.wf: Integration class connecting workflow analysis to the AUTO solver.
Wf_auto_integration(Network) - Constructor for class jline.api.wf.Wf_auto_integration
Wf_auto_integration(Network, SolverOptions) - Constructor for class jline.api.wf.Wf_auto_integration
Wf_auto_integration.ExtendedSolverRecommendation - Class in jline.api.wf
Wf_branch_detector - Class in jline.api.wf: Automatic branch structure detector for workflow networks.
Wf_branch_detector.BranchPattern - Class in jline.api.wf: Branch pattern with probabilities.
Wf_loop_detector - Class in jline.api.wf: Workflow Loop Pattern Detection.
Wf_parallel_detector - Class in jline.api.wf
Wf_pattern_updater - Class in jline.api.wf: Workflow pattern updater for simplifying and optimizing workflow networks.
Wf_pattern_updater.ServiceParameters - Class in jline.api.wf: Service parameters (phase-type distributions).
Wf_pattern_updater.UpdatedWorkflow - Class in jline.api.wf: Updated workflow representation.
Wf_sequence_detector - Class in jline.api.wf: Automatic sequence structure detector for workflow networks.
WfCommonsLoader - Class in jline.io: Loader for WfCommons workflow JSON files.
WfCommonsOptions - Class in jline.io: Options for loading WfCommons workflow files.
WfCommonsOptions() - Constructor for class jline.io.WfCommonsOptions: Create options with default values.
WfCommonsOptions.DistributionType - Enum in jline.io: Distribution type to use for task service times.
why - Variable in class jline.api.lqn.LqnRefRoutes.Result: Non-empty when the layer must fall back to another interlock method.
width - Variable in class jline.lang.state.Polling.Info: Total width of the polling block.
width - Variable in class jline.lang.state.ReplyBlock.Info: Number of columns in the block.
withCutoffs(Matrix) - Static method in class jline.api.fes.FESOptions: Create options with specified cutoffs.
withoutClass(JobClass) - Method in class jline.lang.Network: Returns a copy of this model with the given job class removed, leaving this model untouched.
withSolver(String) - Static method in class jline.api.fes.FESOptions: Create options with specified solver.
withX(Matrix, Matrix, Matrix, Matrix, Matrix, int) - Static method in class jline.io.Ret.LinearizerResult
WLN - Variable in class jline.solvers.ldes.LNLDESResult: Residence/waiting time per LQN element [1 x nidx]
Wlo - Variable in class jline.api.pfqn.Pfqn_mwrbb.Result: (K x C) per-visit residence time consistent with the lower bound.
Wlo - Variable in class jline.solvers.uq.SolverUQ.Interval: Residence-time endpoints.
WM - Variable in class jline.io.Ret.pfqnSensRespt
WN - Variable in class jline.solvers.SolverResult: Mean residence times [stations x classes]
WNCI - Variable in class jline.solvers.ldes.LDESResult: Confidence interval half-widths for residence times [stations x classes]
WNCI - Variable in class jline.solvers.ssa.SSAResult: Confidence interval half-widths for residence times [stations x classes]
WNfcr - Variable in class jline.solvers.SolverResult: FCR mean residence times [regions x classes]
workerTimeout - Variable in class jline.solvers.ag.AGOptions: Seconds to wait on a worker before solving its agents locally instead.
workerTimeout(double) - Method in class jline.solvers.ag.AGOptions
Workflow - Class in jline.lang.workflow: A computational workflow that can be converted to a phase-type distribution.
Workflow(String) - Constructor for class jline.lang.workflow.Workflow
Workflow.SPNode - Class in jline.lang.workflow: A node of the series-parallel decomposition.
Workflow.SPTree - Class in jline.lang.workflow: The series-parallel decomposition of the precedence graph.
WorkflowActivity - Class in jline.lang.workflow: A computational activity in a Workflow.
WorkflowActivity(Workflow, String, double) - Constructor for class jline.lang.workflow.WorkflowActivity
WorkflowActivity(Workflow, String, Distribution) - Constructor for class jline.lang.workflow.WorkflowActivity
WorkflowAnalysis(Wf_analyzer.WorkflowRepresentation, Wf_analyzer.DetectedPatterns, Wf_pattern_updater.UpdatedWorkflow, Map<String, Object>) - Constructor for class jline.api.wf.Wf_analyzer.WorkflowAnalysis
WorkflowAnalysisResult(Wf_analyzer.WorkflowAnalysis, Wf_auto_integration.ExtendedSolverRecommendation, Map<String, Object>, Map<String, Double>) - Constructor for class jline.api.wf.WorkflowManager.WorkflowAnalysisResult
workflowFeatures - Variable in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
WorkflowManager - Class in jline.api.wf: Main facade for workflow management and optimization in LINE.
WorkflowManager(Network) - Constructor for class jline.api.wf.WorkflowManager
WorkflowManager(Network, SolverOptions) - Constructor for class jline.api.wf.WorkflowManager
WorkflowManager.WorkflowAnalysisResult - Class in jline.api.wf: Comprehensive workflow analysis result.
WorkflowRepresentation(Matrix, List<Integer>, List<Integer>, List<Integer>, List<Integer>, Map<Integer, Wf_pattern_updater.ServiceParameters>) - Constructor for class jline.api.wf.Wf_analyzer.WorkflowRepresentation
WorkflowResult - Class in jline.opt.results: Result from a decomposed workflow optimization: results from each subproblem and overall fixed-point convergence info.
WorkflowResult() - Constructor for class jline.opt.results.WorkflowResult
WorkflowTwins - Class in jline.examples.parity: The wf_* twins: a workflow reduced to one phase-type law.
worst - Variable in class jline.api.pfqn.sens.Pfqn_hst.Result: The (P1) optimum per unit d.
wpos - Variable in class jline.lang.state.Polling.Info: Whether the pos/swk/ctr columns are materialized.
Wresid - Variable in class jline.io.Ret.pfqnSensRespt
write - Variable in class odesolver.LSODA
write(Object) - Static method in class jline.io.LINE2JAVA: Writes the generated source to standard output.
write(Object) - Static method in class jline.io.LINE2MATLAB: Writes the generated script to standard output.
write(Object, PrintStream) - Static method in class jline.io.LINE2JAVA: Writes the generated source to a stream, which is flushed but not closed.
write(Object, PrintStream) - Static method in class jline.io.LINE2MATLAB: Writes the generated script to a stream, which is flushed but not closed.
write(Object, String) - Static method in class jline.io.LINE2JAVA: Writes the generated source to filename, overwriting it.
write(Object, String) - Static method in class jline.io.LINE2MATLAB: Writes the generated script to filename, overwriting it.
write(LayeredNetwork, String, PrintStream) - Static method in class jline.io.LQN2JAVA: Writes the generated program to a stream (e.g.
write(LayeredNetwork, String, PrintStream) - Static method in class jline.io.LQN2MATLAB: Writes the generated script to a stream (e.g.
write(LayeredNetwork, String, Writer) - Static method in class jline.io.LQN2JAVA: Writes the generated program to a writer, which is flushed but not closed.
write(LayeredNetwork, String, Writer) - Static method in class jline.io.LQN2MATLAB: Writes the generated script to a writer, which is flushed but not closed.
write(LayeredNetwork, String, String) - Static method in class jline.io.LQN2JAVA: Writes the generated program to filename, overwriting it.
write(LayeredNetwork, String, String) - Static method in class jline.io.LQN2MATLAB: Writes the generated script to filename, overwriting it.
write(Network, String, PrintStream) - Static method in class jline.io.QN2JAVA: Writes the generated method, with headers, to a stream (e.g.
write(Network, String, PrintStream) - Static method in class jline.io.QN2MATLAB: Writes the generated script to a stream (e.g.
write(Network, String, PrintStream, boolean) - Static method in class jline.io.QN2JAVA: Writes the generated code to a stream, which is flushed but not closed.
write(Network, String, Writer) - Static method in class jline.io.QN2JAVA: Writes the generated method, with headers, to a writer.
write(Network, String, Writer) - Static method in class jline.io.QN2MATLAB: Writes the generated script to a writer, which is flushed but not closed.
write(Network, String, Writer, boolean) - Static method in class jline.io.QN2JAVA: Writes the generated code to a writer, which is flushed but not closed.
write(Network, String, String) - Static method in class jline.io.QN2JAVA: Writes the generated method, with headers, to filename.
write(Network, String, String) - Static method in class jline.io.QN2MATLAB: Writes the generated script to filename, overwriting it.
write(Network, String, String, boolean) - Static method in class jline.io.QN2JAVA: Writes the generated code to filename, overwriting it.
writeJLQN(String) - Method in class jline.lang.layered.LayeredNetwork: Writes the layered network to a JLQN file with default naming.
writeJLQN(String, boolean) - Method in class jline.lang.layered.LayeredNetwork: Writes the layered network to a JLQN file.
writeJMVA(NetworkStruct, String, SolverOptions) - Static method in class jline.solvers.wrappers.jmt.SolverJMT
writeJSIM(Network) - Static method in class jline.io.QN2JSIMG: Writes a Network model to JSIMG format at a temporary location.
writeJSIM(Network, String) - Static method in class jline.io.QN2JSIMG: Writes a Network model to JSIMG format at the specified location.
writeJSIM(Network, NetworkStruct, String) - Static method in class jline.io.QN2JSIMG: Writes a Network model with a specific structure to JSIMG format.
writeJSIM(Network, NetworkStruct, String, SaveHandlers) - Static method in class jline.io.QN2JSIMG: Core implementation: Writes a Network model to JSIMG format using custom SaveHandlers.
writeJSIM(NetworkStruct) - Method in class jline.solvers.wrappers.jmt.SolverJMT
writeJSIM(NetworkStruct, String) - Method in class jline.solvers.wrappers.jmt.SolverJMT
writes() - Static method in class jline.io.LineConsole
writeXML(String) - Method in class jline.lang.layered.LayeredNetwork: Writes the layered network to an XML file with default naming.
writeXML(String, boolean) - Method in class jline.lang.layered.LayeredNetwork: Writes the layered network to an XML file.
writeXML(String, Document) - Static method in class jline.io.InputOutput: Writes the given XML Document object to a specified output file.
WRROBIN - Enum constant in enum jline.lang.constant.RoutingStrategy: Weighted Round Robin - cyclic routing with weighted visits
WSkew - Variable in class jline.io.Ret.pfqnSensRespt
wswk - Variable in class jline.lang.state.Polling.Info: Whether the pos/swk/ctr columns are materialized.
wtot - Variable in class jline.api.cache.CacheSojourn.Result
Wup - Variable in class jline.solvers.uq.SolverUQ.Interval: Residence-time endpoints.
WVar - Variable in class jline.io.Ret.pfqnSensRespt

X

x - Variable in class jline.api.cache.CacheRrmMeanfieldResult: (n x (1+h)) occupancy; column 0 is the probability of being out of cache.
x - Variable in class jline.api.da.Da_fpi.Result
x - Variable in class jline.api.mc.Ctmc_bicgstab.BicgstabResult
x - Variable in class jline.api.mc.Ctmc_gmres.GmresResult
x - Variable in class jline.api.npfqn.Npfqn_bnd_bpt.Result: The x block of the LP optimizer, length K.
x - Variable in class jline.api.pfqn.mva.Pfqn_mvasjn.Profile: Job size grid.
x - Variable in class jline.api.qsys.QsysMg1PsResult: Requested service requirements.
x - Variable in class jline.io.Ret.cacheMVA
x - Variable in class jline.lib.butools.trace.CdfFromTrace.CdfResult
x - Variable in class jline.lib.butools.trace.PdfFromTrace.PdfResult
x - Variable in class jline.opt.solver.de.DifferentialEvolution.Result
x - Variable in class jline.solvers.ag.handlers.INAPResult
x - Variable in class jline.solvers.fluid.petri.PetriSolver.Result
x - Variable in class jline.util.ode.Rodas.Result
X - Variable in class jline.api.fes.FesMapDeaggregateResult: Throughput per station.
X - Variable in class jline.api.fes.FesMapSolveResult: System throughput.
X - Variable in class jline.api.fj.FJ_closed.FJAmvaResult
X - Variable in class jline.api.mapqn.Mapqn_amva.Result
X - Variable in class jline.api.mdd.MddClosedQnResult: Per-station throughput.
X - Variable in class jline.api.mdd.MddMcdResult: Per-station throughput; null when the descriptor carries no queueing parameters.
X - Variable in class jline.api.npfqn.Npfqn_dps_morrison.Result: Per-class throughput, 1 x K.
X - Variable in class jline.api.pfqn.ld.Pfqn_qdamva.Result: (1 x R) per-class throughputs.
X - Variable in class jline.api.pfqn.ld.Pfqn_qdlin.Result: (1 x R) per-class throughputs.
X - Variable in class jline.api.pfqn.mva.Pfqn_momlin.MomlinResult
X - Variable in class jline.api.pfqn.mva.Pfqn_mva_interval.Result: Throughput interval (1 x 2).
X - Variable in class jline.api.pfqn.mva.Pfqn_mvaoi.Result
X - Variable in class jline.api.pfqn.mva.Pfqn_mvasjn.Result: Throughputs (1 x R).
X - Variable in class jline.api.pfqn.mva.Pfqn_nintmva.Result: Throughput.
X - Variable in class jline.api.pfqn.mva.Pfqn_sqni.PfqnSqniResult
X - Variable in class jline.api.pfqn.mva.Pfqn_tay.Result: Per-class throughputs (1 x R).
X - Variable in class jline.api.pfqn.nc.Pfqn_dnc.Result: Throughput G(N-1)/G(N); NaN when the population is not positive.
X - Variable in class jline.api.pfqn.Pfqn_cftp.PfqnCftpReturn: Sampled states, one per row (nsamples x M), each row sums to N.
X - Variable in class jline.api.pfqn.Pfqn_marie.MultiResult
X - Variable in class jline.api.pfqn.Pfqn_marie.Result
X - Variable in class jline.api.pfqn.Pfqn_sdr.Result: Per-center chain throughputs.
X - Variable in class jline.api.pfqn.sens.Pfqn_hst.Result: Product-form throughput.
X - Variable in class jline.api.qsys.QsysTvFluidResult: Total fluid, B + Q.
X - Variable in class jline.io.Ret.LinearizerResult
X - Variable in class jline.io.Ret.pfqnAMVA
X - Variable in class jline.io.Ret.pfqnAMVAMS
X - Variable in class jline.io.Ret.pfqnAMVASchmidt: System throughput vector (1 x R)
X - Variable in class jline.io.Ret.pfqnBkLc
X - Variable in class jline.io.Ret.pfqnDAC
X - Variable in class jline.io.Ret.pfqnManjunath
X - Variable in class jline.io.Ret.pfqnMcmc: (1 x R) throughput estimates G(N-e_r)/G(N).
X - Variable in class jline.io.Ret.pfqnMVA
X - Variable in class jline.io.Ret.pfqnMVAC
X - Variable in class jline.io.Ret.pfqnMVACLD
X - Variable in class jline.io.Ret.pfqnMVALD
X - Variable in class jline.io.Ret.pfqnMVALDMX
X - Variable in class jline.io.Ret.pfqnNc
X - Variable in class jline.io.Ret.pfqnNcXQ
X - Variable in class jline.io.Ret.pfqnSens
X - Variable in class jline.io.Ret.pfqnSensLinearizer
X - Variable in class jline.io.Ret.pfqnSensMom
X - Variable in class jline.io.Ret.pfqnSensMva
X - Variable in class jline.io.Ret.pfqnSensMvaldmx
X - Variable in class jline.io.Ret.pfqnSensRespt
X - Variable in class jline.io.Ret.snDeaggregateChainResults
X - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
X - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
X - Variable in class jline.solvers.NetworkMomentResult: 1 x R throughput of the queue-length path, or null on the purely open branch.
X - Variable in class jline.solvers.tr.TransformSolve.Inner: The per-chain SYSTEM throughput, from getAvgSysTput.
X - Variable in class jline.solvers.tr.TransformSolve.Lifted
X - Variable in class jline.solvers.tr.TransformSolve.Result
X - Variable in class jline.solvers.uq.SolverUQ.Interval: System throughput interval (1 x 2); null off the exact path.
x0 - Variable in class jline.inference.api.VariationalSpec: (M x R) initial queue lengths.
x0 - Variable in class jline.inference.lang.EstimatorOptions
x0 - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
x0 - Variable in class jline.solvers.fluid.petri.PetriTerms
xbar - Variable in class jline.api.cache.CacheSojourn.Result
Xhi - Variable in class jline.io.Ret.pfqnMcmc: (1 x R) upper end of the two-sigma interval for X.
xi - Variable in class jline.api.cache.Cache_spm_size.Result: Saddle point xi_j, one entry per list (0 for a list of zero capacity).
xi - Variable in class jline.api.retrieval.Retrieval_rayint.Result: Saddle point xi_j, one entry per list (0 for a list of zero capacity).
xi - Variable in class jline.io.Ret.cacheSpm
xi - Variable in class jline.io.Ret.cacheXiFp
Xi - Variable in class jline.api.npfqn.Npfqn_traffic_idc
Xi - Variable in class jline.api.pfqn.ld.Pfqn_oi_insvc.Result: Xi[i][r], the sir-weighted balance function.
Xlo - Variable in class jline.api.lqn.Lqn_boxbounds.Result
Xlo - Variable in class jline.api.pfqn.mva.Pfqn_looping.Result: Pessimistic (lower) throughput bound, one entry per class.
Xlo - Variable in class jline.api.pfqn.Pfqn_mwrbb.Result: (1 x C) lower bound on class throughput (Theorem 2).
Xlo - Variable in class jline.io.Ret.pfqnMcmc: (1 x R) lower end of the two-sigma interval for X.
Xmax - Variable in class jline.api.fj.FJ_maxima.FJXmaxCoxianResult
Xmax - Variable in class jline.api.fj.FJ_xmax.FJXmaxNormalResult
Xmax - Variable in class jline.api.fj.FJ_xmax.FJXmaxParetoResult
XN - Variable in class jline.api.mam.Qbd_setupdelayoff_closed.Result: Throughput of the station.
XN - Variable in class jline.api.pfqn.mva.Pfqn_mvaoi_marg.Result
XN - Variable in class jline.api.sum.Sum_closed.Result: 1xR class throughputs
XN - Variable in class jline.api.sum.Sum_closing.Result: 1xR class throughputs (open classes approach lambda0 from below)
XN - Variable in class jline.io.Ret.pfqnAB: System throughput vector (1 x R)
XN - Variable in class jline.io.Ret.pfqnNcldmx
XN - Variable in class jline.io.Ret.pfqnSchmidt: System throughput vector (1 x R)
XN - Variable in class jline.solvers.ctmc.analyzers.Solver_ctmc_mdd_analyzer.MddResult
XN - Variable in class jline.solvers.ctmc.handlers.Ctmc_avg_from_pi.Result
XN - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
XN - Variable in class jline.solvers.mam.handlers.MetricsResult
XN - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
XN - Variable in class jline.solvers.nc.analyzers.Solver_nc_cftp_analyzer.CftpResult
XN - Variable in class jline.solvers.SolverResult: Mean system throughputs [1 x chains]
XN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
XN - Variable in class jline.solvers.tr.FJTagTransform.Lifted
xnew - Variable in class jline.api.da.Da_fpi.SweepResult
XNt - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
XNt - Variable in class jline.solvers.SolverResult: Transient system throughputs [time_points][1 x chains]
xocc - Variable in class jline.solvers.fluid.analyzers.CacheTranResult: Per-cache full DDPP occupancy trajectory (ncaches x dim x nt).
Xor(String, List<String>, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an XOR relationship.
Xor(Activity, List<Activity>, Matrix) - Static method in class jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing an XOR relationship.
xref - Variable in class jline.api.da.Da_fpi.SweepResult
Xse - Variable in class jline.io.Ret.pfqnMcmc: (1 x R) batch-means standard error of X.
XSI_NO_NAMESPACE_SCHEMA_LOCATION - Static variable in class jline.solvers.wrappers.jmt.SolverJMT
xss - Variable in class jline.api.cache.CacheMissFpiResult: Converged mean-field state, item-major over lists 0..h as a column of n*(h+1) entries, or null when the solver produced no list-resolved state.
xtraj - Variable in class jline.api.cache.CacheMissRmfTranResult: Full DDPP occupancy trajectory (dim x nt).
Xup - Variable in class jline.api.lqn.Lqn_boxbounds.Result
Xup - Variable in class jline.api.pfqn.mva.Pfqn_looping.Result: Optimistic (upper) throughput bound, one entry per class.
Xup - Variable in class jline.api.pfqn.Pfqn_mwrbb.Result: (1 x C) upper bound on class throughput (eqs.
xVec - Variable in class jline.solvers.fluid.handlers.MethodStepHandler
xVec - Variable in class jline.solvers.fluid.handlers.TransientDataHandler: State vector matrix storing system state at each time point [time x dimensions]
xvec_it - Variable in class jline.solvers.fluid.analyzers.ClosingAndStateDepMethodsAnalyzer
xvec_it - Variable in class jline.solvers.fluid.analyzers.MatrixMethodAnalyzer
xvec_t - Variable in class jline.solvers.fluid.analyzers.ClosingAndStateDepMethodsAnalyzer
xvec_t - Variable in class jline.solvers.fluid.analyzers.MatrixMethodAnalyzer
xvecT - Variable in class jline.solvers.fluid.petri.PetriSolver.Result

Y

y - Variable in class jline.api.fj.FJ_closed.FJQgbResult
y - Variable in class jline.api.spn.Spn_pf.SpnPfResult: Positive vector solving complex balance.
y - Variable in class jline.lib.butools.trace.CdfFromTrace.CdfResult
y - Variable in class jline.lib.butools.trace.PdfFromTrace.PdfResult
y - Variable in class jline.lib.ode.RKF45Result
y - Variable in class jline.util.ode.Rodas.Result
y - Variable in class odesolver.LSODA
Y - Variable in class jline.inference.api.VariationalResult: (T x G x ymax+1) transition-count marginals.
ymax - Variable in class jline.inference.api.VariationalOptions
yp - Variable in class jline.lib.ode.RKF45Result

Z

Z - Variable in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
Z - Variable in class jline.api.retrieval.Retrieval_fpi_latency.Result
Z - Variable in class jline.io.Ret.cacheSpm
Z - Variable in class jline.io.Ret.pfqnNcSanitize
Z - Variable in class jline.io.Ret.snGetDemands
Z - Variable in class jline.io.Ret.snGetProductFormParams
zblk - Variable in class jline.solvers.fluid.petri.PetriMode: State coordinates of the phase block, empty for a single-phase mode.
zero() - Method in class jline.util.matrix.BaseMatrix: Sets all elements in the matrix to zero.
zero() - Method in class jline.util.matrix.ComplexMatrix: Sets all elements of this complex matrix to zero (both real and imaginary parts).
zero() - Method in class jline.util.matrix.DenseMatrix: Sets all elements in the matrix to zero.
zero() - Method in class jline.util.matrix.Matrix: Sets all entries in the matrix to zero.
zero() - Method in class jline.util.matrix.SparseMatrix: Sets all elements in the matrix to zero.
zero() - Method in class jline.util.symbolic.SymContext
Zero - Static variable in class jline.GlobalConstants: Threshold below which values are considered zero (1e-14)
ZERO - Static variable in class jline.solvers.fluid.petri.PetriImmediate
zeros(int, int) - Static method in class jline.lib.kpctoolbox.basic.BasicUtils: Creates a zero matrix.
zeros(int, int) - Static method in class jline.util.matrix.ComplexMatrix: Creates a complex zero matrix of the specified dimensions.
zeros(int, int) - Static method in class jline.util.matrix.Matrix: Creates a matrix of the specified shape filled with zeros.
zeta - Variable in class jline.api.cache.Cache_spm_size.Result: Cost tilt zeta_j on the original size lattice (1 for a slack or absent list).
zetaAll - Variable in class jline.api.npfqn.Npfqn_traffic_idc
Zipf - Class in jline.lang.processes: A Zipf-like probability distribution
Zipf(double, int) - Constructor for class jline.lang.processes.Zipf: Construct a Zipf-like distribution
ZIPF - Enum constant in enum jline.lang.constant.ProcessType
zlb - Variable in class jline.api.npfqn.Npfqn_bnd_bpt.Result: Lower bound on sum_r c_r x_r.
ZLN - Variable in class jline.solvers.ldes.LNLDESResult: Mean think time of a task, at task indices and zero elsewhere [1 x nidx].
ZM - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
ZM - Variable in class jline.api.sn.SnToQrfBlocking.Result: Maximum reachable blocking depth.
ZM - Variable in class jline.solvers.QrfParams: Maximum blocking depth, which must equal max(ZZ) and must be the REACHABLE maximum.
zpred - Variable in class jline.api.infer.InferLqnResult
zscore - Variable in class jline.api.sim.HypothesisTestResult: The standardized statistic, NaN when the null law is used exactly.
ZZ - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
ZZ - Variable in class jline.solvers.QrfParams: (MR) blocking depth of each configuration, i.e.

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