Index
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form
A
- A - Variable in class jline.api.pfqn.nc.Pfqn_comom.GenMatrixResult
- 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.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_jump - Variable in class jline.lib.fjcodes.ComputeT.ComputeTResult
- 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
- a0IdcFun - Variable in class jline.api.npfqn.Npfqn_traffic_idc
- A1 - Variable in class jline.api.mam.Qbd_bmapbmap1.QbdBmapResult
- 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
- 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.
- absorbingStations - Variable in class jline.lang.Network.RoutingErgodicityResult
- AC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.TraceData
- 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
-
Kotlin-style 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() - 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).
- ActionInfo - Class in jline.solvers.mam.handlers
-
Information about an action in an RCAT model.
- ActionInfo(int, int, int, int, double) - Constructor for class jline.solvers.mam.handlers.ActionInfo
- ActionInfo(int, int, int, int, double, boolean) - Constructor for class jline.solvers.mam.handlers.ActionInfo
- ActionInfo(int, int, int, int, double, boolean, boolean, DiscreteDistribution) - Constructor for class jline.solvers.mam.handlers.ActionInfo
- actionMap - Variable in class jline.io.Ret.snToAG
- actionMap - Variable in class jline.solvers.mam.handlers.RCATModel
- ActionMapEntry(int, int, int, int, double, boolean) - Constructor for class jline.io.Ret.ActionMapEntry
- actionRates - Variable in class jline.solvers.mam.MAMResult
- actionSize - Variable in class jline.api.rl.RlEnv
- actionSpace - Variable in class jline.api.rl.RlEnvGeneral
-
Action space map: for each action node index, stores the array of downstream node indices reachable from that node.
- active - Variable in class jline.lang.FJSync
- active - Variable in class jline.lang.GlobalSync
- active - Variable in class jline.lang.Sync
- 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
- 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
- actphase - Variable in class jline.lang.layered.LayeredNetworkStruct
- actposttype - Variable in class jline.lang.layered.LayeredNetworkStruct
- actpretype - 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
- 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
- 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
- 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 * matrixto 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(String, String, String, double) - Method in class jline.opt.results.SensitivityData
- add(UnaryOperator<Apcomplex>...) - Static method in class jline.lib.lti.function_wrapper
- 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. - 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(Constraint) - Method in class jline.opt.OptimizationProblem
- addConstraint(LinearConstraint) - Method in class jline.api.mapqn.Mapqn_lpmodel
-
Add a constraint to the model
- 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 * matrixto 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. - 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.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.
- 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
- Advanced Features - Search tag in package jline.examples.java.advanced
- Section
- 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)forState.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
- 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.
- 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_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.
- AgentModel - Class in jline.examples.java.advanced
-
Model factory for MAM (RCAT/INAP method) examples.
- AgentModel() - Constructor for class jline.examples.java.advanced.AgentModel
- AgentModelExamples - Class in jline.examples.java.advanced
-
Examples demonstrating MAM with RCAT/INAP method for agent-based analysis.
- AgentModelExamples() - Constructor for class jline.examples.java.advanced.AgentModelExamples
- AggregateChainResult(Network, Matrix, ModelAdapter.DeaggInfo) - Constructor for class jline.lang.ModelAdapter.AggregateChainResult
- 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.
- ahat - Variable in class jline.api.infer.InferLqnResult
- 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.
- 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
- ALN - Variable in class jline.solvers.ldes.LNLDESResult
-
Arrival rate per LQN element [1 x nidx]
- 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.retrieval.Cache_retrieval_inputs.Inputs
- alpha - Variable in class jline.io.Ret.snGetDemands
- alpha - Variable in class jline.lang.ModelAdapter.DeaggInfo
- 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
- 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 (ported from Kotlin).
- 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
- AN - Variable in class jline.solvers.SolverResult
-
Mean arrival rates [stations x classes]
- 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 interface jline.solvers.fluid.analyzers.FluidAnalyzer
- 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.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.QsysRetrialResult
- AnalyzerResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, MatrixCell, double, String, NetworkStruct) - 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
- 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 for 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 for 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 for 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 for 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
- AP - Variable in class jline.io.Ret.snToAG
- AP - Variable in class jline.solvers.mam.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
- Applications - Search tag in package jline.bench.fj
- Section
- Applications - Search tag in package jline.util.graph
- Section
- 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, 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, 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.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(Matrix) - Method in class jline.api.fes.FesBetaFunction
- apply(Matrix) - Method in interface jline.api.pfqn.mva.Pfqn_qd.BetaFunction
- apply(Matrix) - Method in interface jline.api.pfqn.mva.Pfqn_qd.GammaFunction
- 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.
- 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
- ApproximationResult(Matrix, Matrix, Matrix) - Constructor for class jline.api.rl.RlTdAgentGeneral.ApproximationResult
- arate - Variable in class jline.solvers.fluid.analyzers.CacheTranResult
-
Per-cache per-class arrival rate (ncaches x K).
- arrival - Variable in class jline.lang.layered.LayeredNetworkStruct
-
Deprecated.
- 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
- arrivalIsLost(NetworkStruct, int, int) - Static method in class jline.lang.state.State
-
True when an arrival of class
jobClassthat finds no room at stationistis LOST, and false when it must BLOCK the upstream instead. - arrivalProcess - Variable in class jline.lang.nodes.Source
- 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.
- ARV - Enum constant in enum jline.lang.constant.EventType
- arvNode - Variable in class jline.api.rl.GeneralSampleEvent
- 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
- 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).
- 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(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.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
- 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.
- 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
- autoAdded - Variable in class jline.lang.nodes.ClassSwitch
- autocov(double[]) - Static method in class jline.lib.kpctoolbox.trace.TraceAnalysis
- autocov(Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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
- 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
- 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.
- 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.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.mam.Qbd_rg.QbdRgResult
- B - Variable in class jline.api.pfqn.nc.Pfqn_comom.GenMatrixResult
- 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.mam.Qbd_bmapbmap1.QbdBmapResult
- 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
- badc - Variable in class jline.lang.nodes.Queue.PermCheckResult
- 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
- 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
- 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.
- 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
- 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
- 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
- Benchmark Categories - Search tag in package jline.bench
- Section
- Benchmark Features - Search tag in package jline.bench.lqn
- Section
- BenchmarkFormatter - Class in jline.bench
-
Formats benchmark results in MATLAB-style tables
- BenchmarkFormatter() - Constructor for class jline.bench.BenchmarkFormatter
- Benchmark Models - Search tag in package jline.bench.cqn
- Section
- 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
- Benchmark Scenarios - Search tag in package jline.bench.fj
- Section
- 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
- bestPerGen - Variable in class jline.opt.solver.de.DifferentialEvolution.Result
- beta - Variable in class jline.lib.butools.dph.CanonicalFromDPH2.DPH2Representation
- beta - Variable in class jline.lib.butools.dph.CanonicalFromDPH3.DPH3Representation
- 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
- binaryCheck(long, int) - Static method in class jline.lib.lti.cme
- bindingCapacityReason(Network, NetworkStruct, String) - Static method in class jline.solvers.NetworkSolver
-
Shared structural gate for finite station capacity (setCapacity) and finite per-class buffers (setClassCap), used by the product-form solvers (MVA, NC).
- 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 - 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
- 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]].
- 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
- 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.
- 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.
- 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
- 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_TO - Enum constant in enum jline.io.ModelVisualizer.EdgeType
- boundary - Variable in class jline.lib.smc.GIM1PiOptions
- 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
- 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
- BranchPattern(List<Integer>, List<Double>, Integer, Integer) - Constructor for class jline.api.wf.Wf_branch_detector.BranchPattern
- breakdown - Variable in class jline.lang.Environment.NodeFailure
-
Distribution of the time until breakdown (UP -> DOWN).
- 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
- bufferStates - Variable in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.NrmSpaceResult
- build() - Method in class jline.gen.Cluster
-
Builds the
Networkmodel from the current configuration. - build() - Method in class jline.solvers.NetworkSolver.SolverConfigurator
- 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_index(int, int) - Static method in class jline.lib.fjcodes.FjCodesUtilsKt
-
Build combinatorial index patterns: enumerate all ways to distribute
critems intombins. - 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
- 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
- buildLayersRecursive(int, List<Integer>, 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
C
- c - Variable in class jline.io.Ret.pfqnFnc
- 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.lib.mom.solver.LinearSystemMatrices
- C - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
- C - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
- C1 - Variable in class jline.api.trace.Mtrace_summary.MtraceSummary
- 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
- 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_erec(Matrix, Matrix) - Static method in class jline.api.cache.Cache_erec
-
Computes the cache miss rate using an exact recursive method.
- 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 - Class in jline.api.cache
- 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 - 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_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 - 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 - 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_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_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 - 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 - 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_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_lru() - Static method in class jline.examples.java.basic.CacheModel
-
Closed cache model with LRU replacement strategy.
- 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_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_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].
- 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
- 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
- cacheGamma(Matrix, int, int, int) - Constructor for class jline.io.Ret.cacheGamma
-
Constructor for initializing the cacheGammaLpReturn object.
- 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)
- 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
- 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.
- 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
- 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.
- 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.
- caches - Variable in class jline.solvers.fluid.analyzers.CacheTranResult
-
Cache node indices (rows ordered as found by nodetype==Cache).
- 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
- CacheTtlTreeAlgo() - Constructor for class jline.api.cache.Cache_ttl_tree.CacheTtlTreeAlgo
- 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
- 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.
- 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
- callhashnames - Variable in class jline.lang.layered.LayeredNetworkStruct
- 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
- callPython(String) - Static method in class jline.util.PythonCaller
-
Execute a Python script and return its output
- 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
- 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_JMT - 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
- 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
- cap - Variable in class jline.lang.NetworkStruct
- cap - Variable in class jline.lang.nodes.Router
- cap - Variable in class jline.lang.nodes.Station
- capacityc - Variable in class jline.lang.state.State.spaceGeneratorNodesResult
- cardinality - Variable in class jline.lang.layered.ItemEntry
- 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
- 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
- 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
- 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
- CdfResult(double[], double[]) - Constructor for class jline.lib.butools.trace.CdfFromTrace.CdfResult
- CdPeakScaling - Class in jline.api.pfqn.ld
-
Peak of a class-dependence handle over the population lattice.
- 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.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_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.
- Cg - Variable in class jline.lib.mom.solver.LinearSystemMatrices
- Cgamma - Variable in class jline.io.Ret.pfqnRd
- 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
- 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
- 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
- chooseBooleanValue(double) - Method in class jline.gen.LayeredNetworkGenerator
-
Chooses a boolean value for a given probability
- 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.
- 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_heterogeneous() - Static method in class jline.examples.java.basic.ClusterModel
-
Heterogeneous open cluster: each of three FCFS servers has a different service time.
- cl_multiclass() - Static method in class jline.examples.java.basic.ClusterModel
-
Two-class open cluster (e.g., interactive vs batch traffic).
- clampPositive - Variable in class jline.api.infer.InferLqnOptions
- 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.lang.Chain
- classes - Variable in class jline.lang.Region
- classIdx - Variable in class jline.solvers.uq.SolverUQ.PriorInfo
- classIndexMap - Variable in class jline.lang.Chain
- classMaxJobs - Variable in class jline.lang.Region
- classMaxJobs - Variable in class jline.lang.RegionStruct
- classMaxMemory - Variable in class jline.lang.Region
- classMaxMemory - Variable in class jline.lang.RegionStruct
- classnames - Variable in class jline.lang.Chain
- classnames - Variable in class jline.lang.NetworkStruct
- classNames - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
- 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
- classSize - Variable in class jline.lang.RegionStruct
- 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 Kotlin 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
- 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() - 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
- 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
- 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
- cloF - Variable in class jline.lib.butools.mam.LevelDependentFluidSolution
- CLOSED - Enum constant in enum jline.lang.constant.JobClassType
-
Closed class - fixed population of jobs circulating in the network
- 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 Kotlin 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.
- 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).
- 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.
- 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*TheClusterbuilder 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.
- 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.
- cme - Class in jline.lib.lti
- 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.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.SolverResult
-
Mean system response times [1 x chains]
- CN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
- 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)
- coeff - Static variable in class jline.lib.lti.laguerre
- coeff - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
- coefficients - Variable in class jline.api.rl.RlTdAgentGeneral.ApproximationResult
- coeffnplus1 - Static variable in class jline.lib.lti.laguerre
- 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.
- colon() - Method in class jline.util.matrix.Matrix
-
Returns the matrix in column-major order.
- 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.
- 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
- compatibility() - Static method in class jline.examples.java.advanced.PassAndSwapExample
-
Five-class compatibility model solved by CTMC.
- 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).
- compatibleSizesAdd(Matrix) - Method in class jline.util.matrix.Matrix
-
Performs element-wise addition with shape broadcasting where applicable.
- complementIndices - Variable in class jline.api.fes.FESDeaggInfo
- completes - Variable in class jline.lang.Chain
- completes - Variable in class jline.lang.JobClass
- 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.
- 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.api.rl.GeneralSampleEvent
- component1() - Method in class jline.api.rl.SampleEvent
- 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.mom.solver.LinearSystemMatrices
- 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.mam.handlers.BMAPMAP1Result
- component1() - Method in class jline.solvers.mam.handlers.INAPResult
- 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.api.rl.GeneralSampleEvent
- component2() - Method in class jline.api.rl.SampleEvent
- 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.mom.solver.LinearSystemMatrices
- 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.mam.handlers.BMAPMAP1Result
- component2() - Method in class jline.solvers.mam.handlers.INAPResult
- 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.api.rl.GeneralSampleEvent
- 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.mom.solver.LinearSystemMatrices
- 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.mam.handlers.BMAPMAP1Result
- component3() - Method in class jline.solvers.mam.handlers.INAPResult
- 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.api.rl.GeneralSampleEvent
- component4() - Method in class jline.lib.fjcodes.ComputeT.ComputeTResult
- component4() - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
- component4() - Method in class jline.lib.mom.solver.LinearSystemMatrices
- component4() - Method in class jline.lib.qmam.MAPMAP1Result
- component4() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
- component4() - Method in class jline.solvers.mam.handlers.INAPResult
- 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
- 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
- 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.
- 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(LayeredNetworkStruct) - Static method in class jline.api.lqn.Lqn_boxbounds
- compute(Network) - Static method in class jline.opt.sensitivity.SensitivityTable
-
Analytic sensitivities for the model, or
nullwhen 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_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.
- 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.
- 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
- 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
- Configuration Classes - Search tag in package jline.lang.nodeparam
- Section
- Configuration Features - Search tag in package jline.solvers.auto
- Section
- 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.
- 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
- ConstantGen(RandomStream, double) - Constructor for class jline.solvers.ldes.handlers.Solver_ssj.ConstantGen
- 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
- 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).
- 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
- 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
- converged - Variable in class jline.api.da.Da_fpi.Result
- converged - Variable in class jline.opt.results.WorkflowResult
- converged - Variable in class jline.solvers.ldes.LDESResult
-
Flag indicating whether the simulation converged before reaching max events/time
- 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
- 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(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.
- 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.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.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(Matrix, Matrix) - Method in class jline.lib.butools.ph.PHRepresentation
- copy(RealMatrix, RealMatrix, RealMatrix, RealMatrix) - Method in class jline.lib.mom.solver.LinearSystemMatrices
- 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.
- copyModel() - Method in class jline.opt.LineEvaluator
- Core Algorithms - Search tag in package jline.util.graph
- Section
- Core Packages - Search tag in package jline
- Section
- 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.
- countNonZeros(int[]) - Static method in class jline.lib.mom.util.MomUtils
-
Count non-zero elements in an array.
- CountStatistics - Class in jline.api.trace
-
Data class for count statistics
- CountStatistics(double, int, SingleClassCountStats[], double) - Constructor for class jline.api.trace.CountStatistics
- 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.
- 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)]. - 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
- 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() - Static method in class jline.examples.java.basic.ClosedExamples
-
Two queues with reducible routing (cqn_twoqueues.ipynb).
- cqn_twoqueues() - Static method in class jline.examples.java.basic.ClosedModel
-
Single-class closed network with reducible routing matrix.
- 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 - 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
- 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
- createGreedyPolicy(double[], double, int) - Static method in class jline.api.rl.RlTdAgent
- 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
-
Creates a new empty matrix with the same shape and internal structure as the given 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_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.
- 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_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_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_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_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_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.
- ctmc_solve(Matrix) - Static method in class jline.lib.kpctoolbox.mc.CTMC
-
Computes the equilibrium distribution of a continuous-time Markov chain.
- 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
- 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_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_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.
- 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
- 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
- ctmcSimulation() - Constructor for class jline.io.Ret.ctmcSimulation
- 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
- ctmcSteadyState(Matrix) - Static method in class jline.lib.kpctoolbox.MarkovChain
- ctmcTransient(Matrix, double) - Static method in class jline.lib.kpctoolbox.MarkovChain
- 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.
- curClass - Variable in class jline.solvers.ln.SolverLN.recurActGraphReturnType
- curClassC - Variable in class jline.solvers.ln.SolverLN
- 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
- cvA - Variable in class jline.api.infer.InferLqnOptions
- 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.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.io.Ret.snGetDemands
- D - Variable in class jline.io.Ret.snGetProductFormParams
- D - Variable in class jline.lib.mom.solver.LinearSystemMatrices
- 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.lib.butools.fitting.MAPFitResult
- D1 - Variable in class jline.api.mapqn.Mapqn_bnd_qr_delay.QuadraticDelayParameters
- D1 - Variable in class jline.lib.butools.fitting.MAPFitResult
- 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).
- dag - Variable in class jline.lang.layered.LayeredNetworkStruct
- 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
- 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
- Decision Algorithms - Search tag in package jline.solvers.auto
- Section
- DecisionVariable - Class in jline.opt.variables
-
Abstract base for line-opt decision variables.
- DecisionVariable(String) - Constructor for class jline.opt.variables.DecisionVariable
- 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.JobPopulation
- 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
- 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.
- 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_MSER_BATCH - Static variable in class jline.solvers.ldes.LDESOptions
-
Default MSER batch size (MSER-5 standard)
- DEFAULT_OBM_OVERLAP - Static variable in class jline.solvers.ldes.LDESOptions
-
Default OBM overlap fraction (50% overlap)
- DEFAULT_REPLICATIONS - Static variable in class jline.solvers.ldes.LDESOptions
-
Default number of replications (1 = single run, backward compatible)
- 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_SPECTRAL_LOW_FREQ_FRAC - Static variable in class jline.solvers.ldes.LDESOptions
-
Default fraction of lowest frequencies used for spectral regression
- DEFAULT_TOL - Static variable in class jline.unified.UnifiedTestRunner
- DEFAULT_WARMUP_FRAC - Static variable in class jline.solvers.ldes.LDESOptions
-
Default warmup fraction when using fixed method
- 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.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.
- defaultOptions() - Static method in class jline.solvers.wrappers.qns.SolverQNS
-
Get the default options for the QNS solver
- defaults() - Static method in class jline.api.fes.FESOptions
-
Create default options.
- DefaultSolverFactory() - Constructor for class jline.bench.lqn.BenchLQN_Default.DefaultSolverFactory
- 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
- 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
-
Delay-off time distributions for function tasks (teardown time).
- delayOffTimeSCV - Variable in class jline.lang.layered.Task
- delayRate - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
- 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.
- DEP - Enum constant in enum jline.lang.constant.EventType
- 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).
- depClass - Variable in class jline.lang.state.AfterEventStation.PasSwap
- depNode - Variable in class jline.api.rl.GeneralSampleEvent
- depNode - Variable in class jline.api.rl.SampleEvent
- 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
- destination - Variable in class jline.lang.Graph.Edge
- destNode - Variable in class jline.lang.nodes.Cache.RetrievalRoutingEntry
- 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, - Class in jline.lib.kpctoolbox.smpC> - 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
- 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.
- detectStiffnessUsingOstrowski(NetworkStruct, Matrix) - Method in class jline.solvers.fluid.analyzers.ClosingAndStateDepMethodsAnalyzer
- 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.
- Dfilt - Variable in class jline.solvers.ctmc.handlers.Solver_ctmc_fcr_waitq.Result
- 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
- DifferentialEvolution - Class in jline.opt.solver.de
-
Self-contained port of scipy's
differential_evolutionthat reproduces its trajectory bit-for-bit for a given integer seed, usingNumpyRandomStatefor 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
- 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
- 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
- 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
- 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.
- 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
- distributionType - Variable in class jline.io.Ret.DistributionResult
-
Type of distribution (e.g., "response_time", "passage_time").
- 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.
- 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.
- 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_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_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
- 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
- DocumentSectionPair - Class in jline.io
- DocumentSectionPair(Document, Element) - Constructor for class jline.io.DocumentSectionPair
- 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.
- DOWNSTREAM - Enum constant in enum jline.api.npfqn.Npfqn_sqd.NeighborMode
- dp - Static variable in class jline.lib.lti.customromberg
- 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
- 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
- dR - Variable in class jline.io.Ret.pfqnSens
- Dr - Variable in class jline.lib.mom.solver.LinearSystemMatrices
- 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(double[]) - Method in class jline.lib.rmf.CacheRMF
-
Compute the mean field drift F(x).
- 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.
- Drop - Enum constant in enum jline.lang.constant.DropStrategy
- DropRate - Enum constant in enum jline.lang.constant.MetricType
- droprule - Variable in class jline.lang.NetworkStruct
- dropRule - Variable in class jline.lang.nodes.Station
- dropRule - Variable in class jline.lang.Region
- dropRule - Variable in class jline.lang.RegionStruct
- 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).
- dt - Variable in class jline.api.rl.GeneralSampleEvent
- DTMC - Class in jline.lib.kpctoolbox.mc
-
Discrete-Time Markov Chain (DTMC) analysis functions.
- 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_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_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
- DtmcUniformizationResult(Matrix, int) - Constructor for class jline.api.mc.Dtmc_uniformization.DtmcUniformizationResult
- dU - Variable in class jline.io.Ret.pfqnSens
- DummyMode - Static variable in class jline.GlobalConstants
-
Debug mode flag
- DUNIFORM - Enum constant in enum jline.lang.constant.ProcessType
- duration - Variable in class jline.solvers.env.SolverENV.SamplePathResult.SamplePathSegment
- 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.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
- E1j - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.BcfitResult
- E3j - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.BcfitResult
- Ea - Variable in class jline.api.infer.InferLqnResult
- EC - Variable in class jline.io.Ret.pfqnLDMXEC
- EC - Variable in class jline.io.Ret.pfqnSensLdmxEc
- 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
- 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 in-place element-wise multiplication with another matrix.
- 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
- 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 immediate transitions from ODE system
- EliminationResult(Matrix, Matrix, Matrix, int[]) - Constructor for class jline.solvers.fluid.handlers.ImmediateElimination.EliminationResult
- embedded() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getEmbedded()
- embeddedProb() - Method in class jline.lang.processes.Markovian
-
Kotlin-style 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
- 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.
- En1 - Variable in class jline.lib.fjcodes.PiResult
- ENABLE - Enum constant in enum jline.lang.constant.EventType
- enableChecks - Variable in class jline.solvers.Solver
-
Flag controlling whether to perform validation checks
- 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
- 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(String) - Method in class jline.streaming.StreamingOptions
-
Set the OTLP receiver endpoint.
- 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.lang.layered.LayeredNetwork
- entries - Variable in class jline.lang.layered.Task
- entriesof - Variable in class jline.lang.layered.LayeredNetworkStruct
- 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
- entryproc - Variable in class jline.solvers.ln.SolverLN
- entryproc - Variable in class jline.solvers.ln.SolverLN.LNState
- env - Variable in class jline.lang.Environment
- Env - Class in jline.lang
-
Deprecated.
- 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
- 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').
- 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
- epsDecay - Variable in class jline.api.rl.RlTdAgent
- epsDecay - Variable in class jline.api.rl.RlTdAgentGeneral
- epsilon - Variable in class jline.api.rl.RlTdAgent
- epsilon - Variable in class jline.api.rl.RlTdAgentGeneral
- epsilon - Variable in class jline.opt.pareto.ParetoPoint
- epsMAX - Variable in class jline.api.mc.Ctmc_multi.CtmcMultiResult
- eq(double) - Method in class jline.api.mapqn.Mapqn_lpmodel.LinearConstraintBuilder
- 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.mc.Dtmc_uniformization.DtmcUniformizationResult
- 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.rl.GeneralSampleEvent
- equals(Object) - Method in class jline.api.rl.SampleEvent
- 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.mom.solver.LinearSystemMatrices
- equals(Object) - Method in class jline.lib.mom.solver.MomSolverResult
- equals(Object) - Method in class jline.lib.ode.RKF45Result
- 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.ctmc.analyzers.RewardResult
- equals(Object) - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
- equals(Object) - Method in class jline.solvers.mam.handlers.INAPResult
- 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.Triple
- 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
- 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
- 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
- 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
- eshift - Variable in class jline.lang.layered.LayeredNetworkStruct
- estimateAt(List<Station>) - Method in class jline.inference.lang.ParamEstimator
- EstimatorOptions - Class in jline.inference.lang
-
Options for ParamEstimator.
- EstimatorOptions() - Constructor for class jline.inference.lang.EstimatorOptions
- eta - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
- eta - Variable in class jline.io.Ret.npfqnNonexpApprox
- ETAQAResult(Matrix, Matrix) - Constructor for class jline.lib.smc.MG1_ETAQA.ETAQAResult
- euler - Class in jline.lib.lti
- 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(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
- 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.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 a Sirio 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.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.MMPP2
-
Evaluates the cumulative distribution function (CDF) at time t.
- 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.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.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 a Sirio 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.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.MMPP2
-
Evaluates the Laplace-Stieltjes Transform (LST) at parameter s.
- 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.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.
- 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.
- 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(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
- 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
- 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
- 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
- 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
- ex1_basic() - Static method in class jline.examples.java.basic.ClusterExamples
-
Solves a four-PS-server open cluster with random dispatching.
- ex2_compare_dispatching() - Static method in class jline.examples.java.basic.ClusterExamples
-
Compares random vs round-robin vs JSQ dispatching with the builder API.
- 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.
- ex5_multiclass() - Static method in class jline.examples.java.basic.ClusterExamples
-
Two-class open cluster (interactive + batch) on two PS servers.
- ex6_sweep() - Static method in class jline.examples.java.basic.ClusterExamples
-
Sweeps the arrival rate to see how response time grows toward saturation.
- exact - Variable in class jline.solvers.NetworkMomentStationResult
-
The exact result, non-null when the method was
"exact". - example_random_env_basics() - Static method in class jline.examples.java.advanced.RandomEnvExamples
-
Demonstrates a basic random environment model (example_random_env_basics).
- 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.
- example5_solveEnvironment() - Static method in class jline.examples.java.advanced.EnvBreakdownExample
-
Example 5: Solve the environment model and display results.
- Example Categories - Search tag in package jline.examples
- Section
- Example Categories - Search tag in package jline.examples.java
- Section
- Example Types - Search tag in package jline.examples.java.basic
- Section
- exceeded() - Static method in class jline.util.LineTimeout
-
True if a deadline is armed and has passed.
- EXHAUSTIVE - Enum constant in enum jline.lang.constant.PollingType
- 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
- 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.
- 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.
- 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.
- 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.
- 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(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
- extractRows(int, int) - Method in class jline.util.matrix.Matrix
-
Extracts rows from this matrix (instance method).
- 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.lib.kpctoolbox.Kpctoolbox
- 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.lib.kpctoolbox.kpcfit.KPCFit.BcfitResult
- 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_rsrd_parameters
- F - Variable in class jline.api.qsys.QsysWorkloadResult
-
F[j] = Pr{psi <= t[j]}, the workload CDF.
- F - Variable in class jline.io.Ret.pfqnProcomom2
- 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
- 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.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.
- factorC0 - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
- factorClass - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
- 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
- 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.
- FAIRNESS - Enum constant in enum jline.lang.constant.HeteroSchedPolicy
-
Fair distribution across compatible server types.
- 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.
- fanOutMap - Variable in class jline.lang.layered.Task
- 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
- 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
- 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=2).
- 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
- fdStep - Variable in class jline.api.infer.InferLqnOptions
- fdStep - Variable in class jline.opt.solver.LineOptSolverOptions
- 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
- featSupported - Variable in class jline.solvers.ctmc.SolverCTMC.SupportResult
- Featured Models - Search tag in package jline.examples.java.basic
- Section
- featureNames() - Method in class jline.lang.FeatureSet
-
Returns the canonical registry of feature names (all features, enabled or not).
- Features - Search tag in package jline.bench
- Section
- 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
- FESAggregator - Class in jline.api.fes
-
Deprecated.Use jline.lang.ModelAdapter.aggregateFES() for public API
- 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
- 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
- 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
- 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
schedargument. - 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.
- findCC(int, boolean[], Set<Integer>) - Method in class jline.util.graph.UndirectedGraph
- 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.
- 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
- 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
- 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.
- 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.
- 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.
- 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
-
MVA-specific finite-capacity gate: Blocking-After-Service models are exempt because MVA offers the Smith queue-decomposition method "sqd", and Solver_mva_analyzer routes a BAS model to Solver_sqd under the default method too, so the finite buffers ARE honoured on every MVA path.
- 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
- 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
- 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.
- fit(double, double, double) - Static method in class jline.lang.processes.APH
- 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.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
-
Fit distribution with given mean and squared coefficient of variation (SCV=variance/mean^2)
- fitMeanAndSCV(double, double) - Static method in class jline.lang.processes.Lognormal
- 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
- 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.CacheRMF
-
Compute mean field fixed point with default tmax=10000.
- fixedPoint(double) - Method in class jline.lib.rmf.CacheRMF
-
Compute mean field fixed point by ODE integration.
- fixedValues - Variable in class jline.opt.decomposition.SubProblem
- fj - Variable in class jline.lang.NetworkStruct
- 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
-
Simple closed fork-join network with symmetric service rates.
- 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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_hyperexp(int, double, double, double) - Static method in class jline.api.fj.FJ_xmax
-
Expected maximum of K i.i.d.
- 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.
- 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
- 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
- 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
- FjCodesUtilsKt - Class in jline.lib.fjcodes
-
FJ_codes utility helpers translated from FJUtils.kt's top-level functions.
- FJConvert - Class in jline.api.fj
- 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
- 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
- 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
- FJPercentileResult(int, double[], double[]) - Constructor for class jline.lib.fjcodes.MainFJ.FJPercentileResult
- 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
- 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
- FJsortForks(Matrix, Matrix) - Constructor for class jline.io.Ret.FJsortForks
- FJStateSpace - Class in jline.lib.fjcodes
- 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
- FJUtils - Class in jline.lib.fjcodes
- fjValidate(NetworkStruct) - Static method in class jline.lang.ModelAdapter
-
Validate that a fork-join model is within the supported feature set of the native CTMC/SSA fork-join implementation: closed chains only, non-nested fork-join pairs, standard join strategy, integer tasksPerLink.
- FJValidation - Class in jline.api.fj
- 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.lib.ode.RKF45Result
- Flat() - Constructor for class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Flat
- 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
- 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
- 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.
- FluidFundamentalMatrices - Class in jline.lib.butools
- FluidFundamentalMatrices(Matrix, Matrix, Matrix, Matrix, Double, Integer, String) - Static method in class jline.lib.butools.FluidFundamentalMatrices
- 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
- 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
- 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).
- 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.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", "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
- forkIdx - Variable in class jline.api.fj.FJInfo
- forKind(String) - Method in class jline.opt.results.SensitivityData
- Fork-Join Architectures - Search tag in package jline.bench.fj
- Section
- ForkJoinExamples - Class in jline.examples.java.basic
-
Fork-join network examples mirroring the Kotlin 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).
- 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.
- 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.mam.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
- 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]
- 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
- fromMarginalBounds(NetworkStruct, int, Matrix, double, SolverOptions) - Static method in class jline.lang.state.FromMarginal
- 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
- fromStation - Variable in class jline.io.Ret.ActionMapEntry
- fromStation - Variable in class jline.solvers.mam.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 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
- 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.
- FSF - Enum constant in enum jline.lang.constant.HeteroSchedPolicy
-
Fastest Server First.
- 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 Task directly with setSetupTime() and setDelayOffTime() methods.
- 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.io.Ret.pfqnMom
- 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.nc.Pfqn_pas_is.Result
- G - Variable in class jline.io.Ret.pfqnComomrmMs
- G - Variable in class jline.io.Ret.pfqnMom
- 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.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.mom.solver.MomSolverResult
- 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
- g_1 - Variable in class jline.io.Ret.pfqnMom
- 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_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
- gamma - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
- gamma - Variable in class jline.api.rl.RlEnv
- gamma - Variable in class jline.api.rl.RlEnvGeneral
- gamma - Variable in class jline.io.Ret.cacheGamma
- gamma - Variable in class jline.io.Ret.npfqnNonexpApprox
- 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.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
- 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
- GeneralSampleEvent - Class in jline.api.rl
-
Container for a sampled event from the general RL environment.
- GeneralSampleEvent(double, int, int, Ret.SampleResult) - Constructor for class jline.api.rl.GeneralSampleEvent
- 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
- 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(). - generatorResult(Matrix, MatrixCell, Map<Integer, Sync>) - Constructor for class jline.solvers.ctmc.SolverCTMC.generatorResult
- 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
- Geometric - Class in jline.lang.processes
-
A Geometric distribution.
- Geometric(double) - Constructor for class jline.lang.processes.Geometric
- GEOMETRIC - Enum constant in enum jline.lang.constant.ProcessType
- geq(double) - Method in class jline.api.mapqn.Mapqn_lpmodel.LinearConstraintBuilder
- 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.NetworkAvgSysTable
- get(int) - Method in class jline.solvers.NetworkAvgTable
-
Returns the values from the specified column.
- 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, 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, int, int) - Method in class jline.lang.RoutingMatrix
- 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(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
- 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
- getActionSize() - Method in class jline.api.rl.RlEnv
- getActionSpace() - Method in class jline.api.rl.RlEnvGeneral
- 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(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
- 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.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
- 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.QsysMapPhResult
- 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.
- getArrivalDistribution(JobClass) - Method in class jline.lang.nodes.Source
-
Gets the arrival distribution for a specific job class.
- 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.trace.Mtrace_bootstrap.TraceStatistics
- getArrivalType() - Method in class jline.api.aoi.AoiParams
- getArvNode() - Method in class jline.api.rl.GeneralSampleEvent
- 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(Node, JobClass) - Method in class jline.inference.lang.ParamEstimator
- getArvRates() - Method in class jline.solvers.ctmc.ResultCTMC
- 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.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.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
- 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.
- 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.
- 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.
- 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.
- getAvgJobsPerChain() - Method in class jline.solvers.auto.ModelAnalyzer
-
Get average jobs per chain
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.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.env.SolverENV
- 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
- 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
- getAvgTput() - Method in class jline.solvers.auto.SolverAUTO
-
Get average throughputs at steady-state
- getAvgTput() - Method in class jline.solvers.NetworkSolver
-
Computes and returns average throughputs at steady-state.
- 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
- 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).
- getBatchMatrix(int) - Method in class jline.lang.processes.BMAP
-
Get the D_k matrix for batch size k
- 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.
- 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
- getBounds() - Method in class jline.opt.LineEvaluator
-
Concatenated per-dimension bounds for the full optimization vector.
- 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.JobPopulation
- 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
- 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
- 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
- getBudget() - Method in class jline.opt.objectives.BudgetConstraint
- getC() - Method in class jline.lib.m3a.MTrace
- getC() - Method in class jline.lib.mom.solver.LinearSystemMatrices
- getCa() - Method in class jline.api.nc.MeCqnResult
- 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.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.fluid.SolverFluid
-
Get CDF of Age of Information with automatic time range.
- getCdfAoI(Matrix) - Method in class jline.solvers.fluid.SolverFluid
-
Get CDF of Age of Information.
- 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() - Method in class jline.solvers.wrappers.qns.SolverQNS
- 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.
- getCdfPassT(AvgHandle) - Method in class jline.solvers.wrappers.qns.SolverQNS
- getCdfRespT() - Method in class jline.solvers.auto.SolverAUTO
- getCdfRespT() - Method in class jline.solvers.fluid.SolverFluid
- 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 cumulative distribution function of response times with default parameters
- getCdfRespT() - Method in class jline.solvers.NetworkSolver
-
Returns cumulative distribution functions of response times at steady-state.
- getCdfRespT() - Method in class jline.solvers.wrappers.jmt.SolverJMT
- getCdfRespT() - Method in class jline.solvers.wrappers.qns.SolverQNS
- 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.NetworkSolver
-
Returns cumulative distribution functions of response times at steady-state.
- getCdfRespT(AvgHandle) - Method in class jline.solvers.wrappers.jmt.SolverJMT
- getCdfRespT(AvgHandle) - Method in class jline.solvers.wrappers.qns.SolverQNS
- getCdfRespT(AvgHandle...) - Method in class jline.solvers.nc.SolverNC
-
Get cumulative distribution function of response times at FCFS and delay nodes
- getCdfRespT(Matrix) - Method in class jline.solvers.ctmc.SolverCTMC
-
Get the cumulative distribution function of response times using tagged job methodology
- getCdfSysRespT() - Method in class jline.solvers.ctmc.SolverCTMC
-
Get the cumulative distribution function of system response times
- getCg() - Method in class jline.lib.mom.solver.LinearSystemMatrices
- 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
-
Returns the list of job chains in 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
- 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.NetworkAvgCacheTable
- getClassNames() - Method in class jline.solvers.NetworkAvgNodeTable
- getClassNames() - Method in class jline.solvers.NetworkAvgTable
-
Returns the list of job class names.
- getClassNames() - Method in class jline.solvers.NetworkMomentTable
- 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 * numColsfor 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.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.
- 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
- 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
- getCorrelation() - Method in class jline.lang.processes.MultivariateNormal
-
Gets the correlation matrix from the covariance matrix.
- 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
- 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).
- getD() - Method in class jline.lib.mom.solver.LinearSystemMatrices
- getD0() - Method in class jline.lib.butools.map.MAPRepresentation
- getD1() - Method in class jline.lib.butools.map.MAPRepresentation
- getD1k(int) - Method in class jline.lang.processes.Marked
- 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
- 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
- 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 Sirio format.
- getDepartureDiscipline(JobClass) - Method in class jline.lang.nodes.Place
- getDepNode() - Method in class jline.api.rl.GeneralSampleEvent
- getDepNode() - Method in class jline.api.rl.SampleEvent
- 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.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.
- getDpi() - Method in class jline.io.LQN2UML.Options
- getDQLen() - Method in class jline.solvers.NetworkSensitivityTable
- getDr() - Method in class jline.lib.mom.solver.LinearSystemMatrices
- 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.
- getDt() - Method in class jline.api.rl.GeneralSampleEvent
- getDTput() - Method in class jline.solvers.NetworkSensitivityTable
- 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
- 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.MockHttpReceiver
-
Gets the endpoint string for this receiver.
- 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
- 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
NetworkStructfor 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 class 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
- 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
- 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.
- 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
- 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
-
Returns the feature set supported by the LQNS solver
- getFeatureSet() - Static method in class jline.solvers.wrappers.qns.SolverQNS
-
Get the feature set supported by this solver
- 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
- 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
-
Kotlin-style alias for
Pair.getLeft(). - getFirst() - Method in class jline.util.Triple
- getFixedVariables() - Method in class jline.opt.LineEvaluator
- getFixedVariables() - Method in class jline.opt.OptimizationProblem
- 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
- 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
- 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.pfqn.lcfs.LcfsqnCaResult
- getG() - Method in class jline.lib.mom.solver.MomSolverResult
- 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() - Method in class jline.api.rl.RlEnv
- getGamma() - Method in class jline.api.rl.RlEnvGeneral
- 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.ctmc.SolverCTMC
- getGenerator() - Method in class jline.solvers.env.SolverENV
- getGenerator(SolverOptions) - Method in class jline.solvers.ctmc.SolverCTMC
- 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
- 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
- getIdx() - Method in class jline.lang.NodeAttribute
- getIdxhash() - Method in class jline.solvers.ln.SolverLN
- getIdxOfActionNodes() - Method in class jline.api.rl.RlEnvGeneral
- getIdxOfQueueInNodes() - Method in class jline.api.rl.RlEnv
- getIdxOfQueueInNodes() - Method in class jline.api.rl.RlEnvGeneral
- getIdxOfSourceInNodes() - Method in class jline.api.rl.RlEnv
- 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
- 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.
- 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)
- getInteractions() - Method in class jline.io.tikz.SequenceDiagramTraverser
-
Gets all interactions sorted by level.
- getInterarrivalTime() - Method in class jline.api.mam.BmapSample
- 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.
- 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
- getIter() - Method in class jline.api.nc.MeCqnResult
- getIter() - Method in class jline.api.nc.MeOqnResult
- getIter() - Method in class jline.solvers.mam.handlers.INAPResult
- getJmtJarPath() - Method in class jline.solvers.wrappers.jmt.SolverJMT
- 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.lib.butools.mam.GeneralFluidSolution
- getKc() - Method in class jline.lib.fjcodes.SRKResult
- getKchoicesK() - Method in class jline.lang.OutputStrategy
- 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.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.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
- getLastPushTime() - Method in class jline.streaming.Collector
-
Get the last push time.
- 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.
- getLayerSpacing() - Method in class jline.io.tikz.TikZOptions
- getlE() - Method in class jline.io.Ret.cacheMissSpm
- getLeft() - Method in class jline.util.Pair
- getLft() - Method in class jline.lang.processes.Expolynomial
-
Returns the latest firing time, i.e.
- 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.
- 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.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
- getLNAvgTable() - Method in class jline.solvers.ldes.SolverLDES
-
Returns average metrics for a LayeredNetwork model as a table.
- 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).
- getLoggerName() - Method in class jline.lang.nodes.Logger
- getLogLikelihood() - Method in class jline.lib.kpctoolbox.erchmm.ERCHMMFitResult
- getLogPath() - Method in class jline.lang.Network
- 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
- getLowerLimit() - Method in class jline.lang.Metric
- 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
- 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
- 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
- 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.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.Markovian
-
Gets the mean of this Markovian distribution.
- getMean() - Method in class jline.lang.processes.MMDP
- getMean() - Method in class jline.lang.processes.MMPP2
- 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.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.solvers.mam.handlers.BMAPMAP1Result
- getMeanHostDemand(String) - Method in class jline.lang.layered.Task
- 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.QsysMapPhResult
- 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
- 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.QsysMapPhResult
- 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.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.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.QsysMapPhResult
- 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
- getMethodFeatureSet(String) - Method in class jline.solvers.mva.SolverMVA
- 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).
- 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
- 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.solvers.NetworkAvgCacheTable
- 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.api.rl.RlEnv
- getModel() - Method in class jline.api.rl.RlEnvGeneral
- 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
- 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
- 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.
- 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.
- 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.
- 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.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.
- 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
- getNqueues() - Method in class jline.api.rl.RlEnvGeneral
- 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.
- 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.
- 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.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.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.MMDP
- getNumberOfPhases() - Method in class jline.lang.processes.MMDP2
- getNumberOfPhases() - Method in class jline.lang.processes.MMPP2
- getNumberOfPhases() - Method in class jline.lang.processes.PH
- 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.MarkedMAP
-
Number of arrival types (marks) K under the M3A layout.
- 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.
- 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.
- 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.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.
- getNumRowsInternal() - Method in class jline.util.matrix.SparseMatrix
- getNumSegments() - Method in class jline.lang.processes.NHPP
-
Returns the number of segments in the schedule.
- 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.
- 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).
- getOrders() - Method in class jline.lib.kpctoolbox.erchmm.ERCHMMFitResult
- getOriginal() - Method in class jline.api.trace.Mtrace_bootstrap.BootstrapResults
- 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.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 (Kotlin extension fn 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
Randomadapter wrapping the parallelMersenneTwisterfor 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
- 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
- getPeakAoI() - Method in class jline.api.aoi.AoiLstResult
- getPeakAoI() - Method in class jline.api.aoi.AoiResult
- getPercentileResults() - Method in class jline.solvers.mam.MAMFJResult
- 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
- getPerformanceMetrics() - Method in class jline.api.wf.WorkflowManager.WorkflowAnalysisResult
- getPeriod() - Method in class jline.lang.processes.NHPP
-
Returns the 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
- 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.ctmc.ResultCTMCMargAggr
-
Get the steady-state distribution
- getPi() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
- getPi() - Method in class jline.solvers.mam.handlers.INAPResult
- getPi0() - Method in class jline.api.cache.CacheMissFpiResult
- 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
- 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.MockHttpReceiver
-
Gets the port this receiver is listening on.
- 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
- 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
- getPreemption() - Method in class jline.api.aoi.AoiMfqResult
- 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.qns.SolverQNS
- 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.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.qns.SolverQNS
- 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(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.qns.SolverQNS
- getProbAggr(int, Matrix) - Method in class jline.solvers.ctmc.SolverCTMC
- 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.wrappers.qns.SolverQNS
- 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
-
Get marginal queue-length probability distribution for a job class.
- 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.qns.SolverQNS
- 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.qns.SolverQNS
- 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.qns.SolverQNS
- getProcess() - Method in class jline.lang.processes.Bernoulli
- getProcess() - Method in class jline.lang.processes.Binomial
- 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.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.MMDP
- 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.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.pfqn.lcfs.LcfsqnMvaResult
- getQ() - Method in class jline.lib.mom.solver.MomSolverResult
- getQ() - Method in class jline.solvers.ctmc.ResultCTMC
- getQ() - Method in class jline.solvers.mam.handlers.INAPResult
- getQFunction() - Method in class jline.api.rl.RlTdAgent
- 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.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
- 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
- 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.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.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.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
- 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.qsys.RetrialInfo
- getR0() - Method in class jline.lib.fjcodes.SRKResult
- 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.MarkedMMPP
- getRate() - Method in class jline.lang.processes.Markovian
- getRate() - Method in class jline.lang.processes.MMDP
- getRate() - Method in class jline.lang.processes.MMPP2
- getRate() - Method in class jline.lang.processes.Pareto
- getRate() - Method in class jline.lang.processes.PH
- getRate() - Method in class jline.lang.processes.Poisson
- 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.NHPP
-
The rate in force at wall-clock time
t; zero past a non-cyclic horizon. - 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.NHPP
-
Returns the rate schedule.
- getRawAvgTables() - Method in class jline.solvers.wrappers.lqns.SolverLQNS
-
Get raw average tables with detailed metrics for nodes and calls.
- getReasoning() - Method in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
- getReceivedMetricNames() - Method in class jline.streaming.MockHttpReceiver
-
Gets all metric names received.
- getReceivedMetricNames() - Method in class jline.streaming.MockOtlpReceiver
-
Gets all metric names received.
- getReceivedPayloads() - Method in class jline.streaming.MockHttpReceiver
-
Gets all received JSON payloads.
- getReceivedRequests() - Method in class jline.streaming.MockOtlpReceiver
-
Gets all received export requests.
- getRecommendedSolver() - Method in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
- 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.MockHttpReceiver
-
Gets the total number of POST requests received.
- 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
- 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).
- 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
- getRlNodesNeedAction() - Method in class jline.lang.OutputStrategy
-
Returns the node indices that consult the RL value function.
- getRlStateSize() - Method in class jline.lang.OutputStrategy
-
Returns the RL state-size hint.
- getRlValueFunction() - Method in class jline.lang.OutputStrategy
-
Returns the RL value function, or null when RL routing is not configured.
- getRlValueFunctionShape() - Method in class jline.lang.OutputStrategy
-
Returns the per-axis shape of the tabular RL value function.
- 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
- 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.FjCodesUtilsKt
-
Extract row
rowofmatrixas adouble[]. - 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.
- getSampleResult() - Method in class jline.api.rl.GeneralSampleEvent
- getSamples() - Method in class jline.io.Ret.mamMMAPSample
- getSampleTime() - Method in class jline.lib.perm.HuberLawSampler
- 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.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.MarkedMMPP
- getSCV() - Method in class jline.lang.processes.Markovian
- 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.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.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
-
Kotlin-style 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
- 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
getSensitivityTablereturns alongside the table. - getSensitivityTable() - Method in class jline.solvers.NetworkSolver
-
Exact analytic performance sensitivities.
- 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
- 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.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 theattached to the given station, or null if the station has no nodeparam entry or its entry is not a ServiceNodeParam.
invalid reference
ServiceNodeParam - getServiceParameters() - Method in class jline.api.wf.Wf_analyzer.WorkflowRepresentation
- getServiceParameters() - Method in class jline.api.wf.Wf_pattern_updater.UpdatedWorkflow
- 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
-
Gets the service rates configured for all job classes at this 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.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.MarkedMMPP
- getSkewness() - Method in class jline.lang.processes.Markovian
- getSkewness() - Method in class jline.lang.processes.MMPP2
- 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.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
- 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(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
- getSpectrum() - Method in class jline.lib.kpctoolbox.basic.SpectralDecomposition
- getSpeedFactor() - Method in class jline.lang.layered.Host
- 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
SolverResultfor sub-modele, as held by its child solver (ornullif 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.
- 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.
- getStateFromLoc(int[], int[]) - Static method in class jline.api.rl.RlTdAgent
- getStateFromLocs(int[], int[][]) - Static method in class jline.api.rl.RlTdAgent
- 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
- getStateSize() - Method in class jline.api.rl.RlEnv
- getStateSize() - Method in class jline.api.rl.RlEnvGeneral
- 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.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.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 rowiof space is the aggregated state (CTMCstateSpaceAggrlayout) attime[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.NetworkAvgChainTable
- getStationNames() - Method in class jline.solvers.NetworkAvgTable
-
Returns the list of station names.
- 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.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
- 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.lang.layered.LayeredNetwork
-
Gets the structural representation of the layered network.
- getStruct() - Method in class jline.lang.Network
- 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.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.
- 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.
- 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.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.ctmc.SolverCTMC
-
Symbolic infinitesimal generator.
- getSyncCallDests() - 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.pfqn.lcfs.LcfsqnMvaResult
- getT() - Method in class jline.api.rl.SampleEvent
- 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
- 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.
- getThinkt_classes_updmap() - Method in class jline.solvers.ln.SolverLN
- getThinkTime() - Method in class jline.lang.layered.Activity
- 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.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
- getTimeAverageRate() - Method in class jline.lang.processes.NHPP
-
Returns the time-average rate over the horizon,
sum(rates[i]*width[i]) / sum(width[i]). - 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
- 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.MockHttpReceiver
-
Gets the total number of metrics received across all requests.
- 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(Node, JobClass) - Method in class jline.inference.lang.ParamEstimator
- getTranAvg() - Method in class jline.solvers.auto.SolverAUTO
- 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.
- 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() - Method in class jline.solvers.wrappers.qns.SolverQNS
- 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
- getTranCdfPassT(AvgHandle) - Method in class jline.solvers.wrappers.qns.SolverQNS
- 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() - Method in class jline.solvers.wrappers.qns.SolverQNS
- 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
- getTranCdfRespT(AvgHandle) - Method in class jline.solvers.wrappers.qns.SolverQNS
- 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
-
Gets transient probability for a specific node's aggregated state.
- 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
- 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
- getTruncLevel() - Method in class jline.api.qsys.QsysRetrialResult
- getTt() - Method in class jline.solvers.mam.handlers.TransientResult
- 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.
- 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.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
- getUsedLangFeatures() - Method in class jline.lang.layered.LayeredNetwork
-
Get the used language features by analyzing the layered network structure
- 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.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.QsysMapPhResult
- getUtilization() - Method in class jline.api.qsys.QsysRetrialResult
- getUtilization() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
- getUtilization(int, int) - Method in class jline.api.mapqn.Mapqn_solution
-
Get utilization for queue i, phase k (1-based indices).
- 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_knaming convention (seeMapqn_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.api.rl.RlTdAgent
- getValueFunction() - Method in class jline.api.rl.RlTdAgentGeneral
- 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.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.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.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.JobPopulation
- 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
- 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.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
- getWaitingTime() - Method in class jline.lib.qmam.MAPDcResult
- getWaitingTimeDist() - Method in class jline.api.qsys.QsysMapDcResult
- 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
-
Determines the appropriate workspace directory based on the runtime context
- getX() - Method in class jline.api.nc.MeCqnResult
- getX() - Method in class jline.lib.butools.trace.CdfFromTrace.CdfResult
- getX() - Method in class jline.lib.mom.solver.MomSolverResult
- getX() - Method in class jline.solvers.mam.handlers.INAPResult
- getX0() - Method in class jline.lib.rmf.CacheRMF
- 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
- getXVecIt() - Method in class jline.solvers.fluid.analyzers.ClosingAndStateDepMethodsAnalyzer
- getXVecIt() - Method in interface jline.solvers.fluid.analyzers.FluidAnalyzer
- 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.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
- 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_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_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.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
- globalMaxJobs - Variable in class jline.lang.RegionStruct
- globalMaxMemory - Variable in class jline.lang.RegionStruct
- 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.
- 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
- 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
Networktopology, returned byNetwork.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.
- Graph Representations - Search tag in package jline.util.graph
- Section
- grnmol(Function<double[], Double>, double[][], int, double) - Static method in class jline.util.Maths
-
Grundmann-Moeller simplex integration
- 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
- Guard - Enum constant in enum jline.lang.constant.JoinStrategy
H
- h - Variable in class jline.io.Ret.cacheGamma
- 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.
- 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.
- 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
- 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.
- 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.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.
- 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).
- 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.mc.Dtmc_uniformization.DtmcUniformizationResult
- 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.rl.GeneralSampleEvent
- hashCode() - Method in class jline.api.rl.SampleEvent
- 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.mom.solver.LinearSystemMatrices
- hashCode() - Method in class jline.lib.mom.solver.MomSolverResult
- hashCode() - Method in class jline.lib.ode.RKF45Result
- 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.ctmc.analyzers.RewardResult
- hashCode() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
- hashCode() - Method in class jline.solvers.mam.handlers.INAPResult
- 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.Triple
- hashid - Variable in class jline.io.Ret.getHashOrAddResult
- HashmapResult(Matrix, Matrix) - Constructor for class jline.api.rl.RlTdAgentGeneral.HashmapResult
- 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.
- hashPop(int[], int[]) - Static method in class jline.lib.mom.util.MomUtils
-
Hash a population vector to a unique index.
- 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
- hasJoin() - Method in class jline.lang.Network
- 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.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
- 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.
- 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.
- 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.
- hasReceivedMetric(String) - Method in class jline.streaming.MockHttpReceiver
-
Checks if a specific metric type was received.
- hasReceivedMetric(String) - Method in class jline.streaming.MockOtlpReceiver
-
Checks if a specific metric type was received.
- 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
- 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
- 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.
- 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, andA = V*H*V'(equivalentlyV'*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 = LBARis upper Hessenberg andW*B*V = NBARis 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
- 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.
- 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.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
- 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.
- HLRU - Enum constant in enum jline.lang.constant.ReplacementStrategy
- 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
- holdTime - Variable in class jline.lang.Environment
- 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.
- hostDemandMean - Variable in class jline.lang.layered.Activity
- hostDemandSCV - Variable in class jline.lang.layered.Activity
- hostLayerIndices - Variable in class jline.solvers.ln.SolverLN
- 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
- 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
I
- 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.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
- idc() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getIDC()
- IdcFunction - Interface in jline.api.npfqn
- 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
- idi() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getIDI()
- idx - Variable in class jline.util.graph.DirectedGraph.SCCAuxResult
- idxhash - Variable in class jline.solvers.ln.SolverLN
- idxOfActionNodes - Variable in class jline.api.rl.RlEnvGeneral
- idxOfQueueInNodes - Variable in class jline.api.rl.RlEnv
- idxOfQueueInNodes - Variable in class jline.api.rl.RlEnvGeneral
- idxOfSourceInNodes - Variable in class jline.api.rl.RlEnv
- ignore - Variable in class jline.solvers.ln.SolverLN
- 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[], 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
-
Compute the inverse Laplace transform of fun at time points T.
- iltcme - Class in jline.lib.lti
- 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.
- im - Variable in class jline.util.matrix.ComplexMatrix
-
The imaginary component of the complex matrix
- immediate - Variable in class jline.lang.processes.Distribution
- 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
- ImmediateElimination - Class in jline.solvers.fluid.handlers
-
Eliminates immediate transitions from Fluid ODE system using stochastic complementation to reduce stiffness and improve performance
- ImmediateElimination() - Constructor for class jline.solvers.fluid.handlers.ImmediateElimination
- ImmediateElimination.EliminationResult - Class in jline.solvers.fluid.handlers
-
Result of immediate elimination containing reduced system and state mapping
- 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
- 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.
- INAPResult - Class in jline.solvers.mam.handlers
-
Result of the INAP/INAPplus fixed-point iteration.
- INAPResult(Matrix, List<Matrix>, List<Matrix>, int) - Constructor for class jline.solvers.mam.handlers.INAPResult
- INAPResult(Matrix, List<Matrix>, List<Matrix>, int, double[], boolean[], double) - Constructor for class jline.solvers.mam.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, 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
- 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_minps_setup(double[][][], int, int, int, Network, Queue) - Static method in class jline.inference.api.Infer_minps_setup
-
Setup function for MINPS with legacy cell-based data format.
- Infer_minps_setup - 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_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, List<SchedStrategy>, double[][]) - Static method in class jline.inference.api.Infer_quick_model
- infer_quick_model(boolean, List<SchedStrategy>, double[][], int[], int[], double[][]) - Static method in class jline.inference.api.Infer_quick_model
-
Generate a simple queueing network based on given parameters.
- Infer_quick_model - Class in jline.inference.api
- 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
- 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
- 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)
- 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(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() - Constructor for class jline.lang.state.Polling.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
- inhibiting - Variable in class jline.lang.nodeparam.TransitionNodeParam
- inhibitingConditions - Variable in class jline.lang.nodes.Transition
- 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() - 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_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.
- 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
- initProb() - Method in class jline.lang.processes.APH
-
Kotlin-style property alias for getInitProb()
- initProb() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getInitProb()
- initProb() - Method in class jline.lang.processes.PH
-
Kotlin-style 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
- InitStateModel - Class in jline.examples.java.advanced
-
Examples of model initialization
- InitStateModel() - Constructor for class jline.examples.java.advanced.InitStateModel
- initUsedFeatures() - Method in class jline.lang.layered.LayeredNetwork
-
Initialize the used features for each model in the ensemble
- 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
- 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
ServiceTunnelpass-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(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
- 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
- interlocking - Variable in class jline.solvers.SolverOptions.Config
-
Enable interlocking optimization
- 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.
- 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.
- 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
- 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
- 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.
- isAvailable() - Static method in class jline.solvers.wrappers.lqns.SolverLQNS
- isAvailable() - Static method in class jline.solvers.wrappers.qns.SolverQNS
-
Check if the solver is available Checks for the qnsolver command which is the actual executable used
- 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).
- 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_sqdapproximation handles but exact/AMVA MVA does not. - 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.mam.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.
- isClosedModel() - Method in class jline.solvers.auto.ModelAnalyzer
-
Check if model is closed (only closed classes)
- 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
- 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
- isDAG(Matrix) - Static method in class jline.util.graph.DirectedGraph
-
Tests if the given adjacency matrix represents a Directed Acyclic Graph (DAG).
- 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.
- 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.
- isEnabled() - Method in class jline.lang.state.EventCache
- 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
- 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
- isFJ(NetworkStruct) - Static method in class jline.api.fj.FJValidation
-
Check if network has Fork-Join topology suitable for FJ_codes
- isfjaugmented - Variable in class jline.lang.NetworkStruct
- isFJAugmented - Variable in class jline.lang.Network
- isfunction - Variable in class jline.lang.layered.LayeredNetworkStruct
- isfunction - Variable in class jline.lang.NetworkStruct
-
Station-indexed mask of queue stations carrying setup/delay-off times (function stations), as in MATLAB refreshStruct.m.
- isGeomProc - Variable in class jline.solvers.mam.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
- 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.
- isInActionSpace(int[]) - Method in class jline.api.rl.RlEnvGeneral
-
Checks if actions can be taken from the given state.
- isInActionSpace(List<Node>) - Method in class jline.api.rl.RlEnv
- isInf(double) - Static method in class jline.util.Utils
-
Checks if a value represents infinity.
- isInitializeStates() - Method in class jline.gen.NetworkGenerator
- isInStateSpace(int[]) - Method in class jline.api.rl.RlEnvGeneral
-
Checks if the given state vector is within the defined state space.
- isInStateSpace(List<Node>) - Method in class jline.api.rl.RlEnv
- 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.
- isKchoicesWithMemory() - Method in class jline.lang.OutputStrategy
- isLibraryAttributionShown() - Static method in class jline.lang.GlobalConstants
-
Check if library attribution message has been shown.
- isLimitedLoadDependent() - Method in class jline.lang.Network
- isMarkovian() - Method in class jline.lang.processes.Distribution
-
Check if this distribution is Markovian (has a matrix process representation)
- isMatlabNative() - Method in class jline.lang.Network
-
Checks if this network is a MATLAB native (MNetwork) implementation.
- 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.
- isNegative - Variable in class jline.io.Ret.ActionMapEntry
- isNegative - Variable in class jline.solvers.mam.handlers.ActionInfo
- isNumStable - Variable in class jline.io.Ret.pfqnMVALD
- isolatedModel - Variable in class jline.api.fes.FESDeaggInfo
- 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)
- 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.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
- isPhysicalCapacity(NetworkStruct, int, int) - Static method in class jline.lang.state.State
-
True when the capacity bound at station
istforjobClassis a PHYSICAL finite capacity (setCapacity/setClassCapacity), as opposed to a state-space CUTOFF imposed on an open class only to bound enumeration. - isPrior() - Method in class jline.lang.processes.Prior
-
Returns true indicating this is a Prior distribution.
- isPriorDistribution(Distribution) - Static method in class jline.lang.processes.Prior
-
Static method to check if a distribution is a Prior.
- isQNSolverAvailable() - Static method in class jline.solvers.wrappers.qns.analyzers.Solver_qns_analyzer
-
Check if the external qnsolver tool is available.
- 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
- 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.
- isRetrial() - Method in class jline.api.qsys.RetrialInfo
- 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).
- 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
- isslc - Variable in class jline.lang.NetworkStruct
- 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.
- 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.
- isStateValid() - Method in class jline.lang.Network
- isstation - Variable in class jline.lang.NetworkStruct
- 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, replication) 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
- isSuccessful() - Method in class jline.lang.Metric
- isSupported - Variable in class jline.solvers.mam.handlers.PriorityAnalysis
- 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.
- 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
- 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
- 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.solvers.nc.NCResult
- it - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
- it - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
- 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
- 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.pfqnQd
- 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.mam.handlers.INAPResult
- iter - Variable in class jline.solvers.mam.MAMResult
- iter - Variable in class jline.solvers.mva.MVAResult
-
Number of iterations performed by the MVA algorithm (used by runAnalyzer method)
- iter - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
- iter - Variable in class jline.solvers.SolverResult
-
Number of iterations performed by iterative solvers
- iter_max - Variable in class jline.solvers.SolverOptions
-
Maximum number of iterations for iterative algorithms
- iter_tol - Variable in class jline.solvers.SolverOptions
-
Tolerance for iteration convergence
- iterate() - Method in class jline.solvers.EnsembleSolver
- 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.opt.results.OptimizationResult
- iterMax - Variable in class jline.api.da.Da_fpi.Options
- iterMax - Variable in class jline.inference.lang.EstimatorOptions
- iterTol - Variable in class jline.api.da.Da_fpi.Options
J
- jacksonNetwork() - Static method in class jline.examples.java.advanced.AgentModel
-
Creates a Jackson network with probabilistic routing.
- jacobian(double[]) - Method in class jline.lib.rmf.CacheRMF
-
Compute Jacobian dF/dx at state x.
- jacobian(Function<Matrix, Matrix>, Matrix, double, double) - Static method in class jline.api.infer.InferLqn
-
Forward finite-difference sensitivity matrix of h at a.
- JacobianResult(Matrix, Matrix) - Constructor for class jline.api.infer.InferLqn.JacobianResult
- JD - Enum constant in enum jline.lang.constant.ServiceStrategy
- 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.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.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.measures - package jline.api.measures
-
Statistical measures and distance metrics.
- 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.rl - package jline.api.rl
- jline.api.sn - package jline.api.sn
-
Stochastic network analysis utilities.
- jline.api.sum - package jline.api.sum
- 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.models - package jline.examples.java.models
-
Pre-built queueing network model templates and generators.
- jline.examples.opt - package jline.examples.opt
- 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.mom - package jline.lib.mom
- jline.lib.mom.solver - package jline.lib.mom.solver
- jline.lib.mom.util - package jline.lib.mom.util
- 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.auto - package jline.solvers.auto
-
Automatic solver selection and configuration for queueing networks.
- 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.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.ldes - package jline.solvers.ldes
-
LINE Discrete Event Simulator (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.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.qns - package jline.solvers.wrappers.qns
-
This package provides an implementation of SolverQNS.
- jline.solvers.wrappers.qns.analyzers - package jline.solvers.wrappers.qns.analyzers
-
Analyzers for SolverQNS.
- jline.solvers.wrappers.qns.handlers - package jline.solvers.wrappers.qns.handlers
-
Handlers for SolverQNS.
- 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.
- 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.
- jmtGetPath() - Static method in class jline.io.SysUtils
- 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.
- 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.
- 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.
- 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.
- 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.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.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.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(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.lang.NodeParam
-
Integer parameters by job class - for discrete configuration values
- 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_rsrd_parameters
- K - Variable in class jline.api.mapqn.MVAVersionParameters
- 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
- 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
- KCHOICES - Enum constant in enum jline.lang.constant.RoutingStrategy
-
Power of K choices - select best among K randomly chosen destinations
- Ke - Variable in class jline.lib.fjcodes.SRKResult
- 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.util.IndexedMinHeap
- Key Features - Search tag in package jline
- Section
- Key Features: - Search tag in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
- Section
- Key Features Demonstrated - Search tag in package jline.examples.java
- Section
- 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
- kir - Variable in class jline.lang.state.State.StateMarginalStatistics
- KLIMITED - Enum constant in enum jline.lang.constant.PollingType
- kmax - Variable in class jline.api.mc.Dtmc_uniformization.DtmcUniformizationResult
- 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
- Kpctoolbox - Class in jline.lib.kpctoolbox
- 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.FjCodesUtilsKt
-
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
L
- L - Variable in class jline.api.mam.Qbd_rg.QbdRgResult
- 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
- labels - Variable in class jline.streaming.SSAMetricPoint
-
Labels for this metric (station, class, etc.)
- 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_ji - Variable in class jline.api.npfqn.Npfqn_traffic_idc
- lambda - Variable in class jline.api.npfqn.Npfqn_traffic_idc
- lambda - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
- 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
- lambdaChain - Variable in class jline.lang.ModelAdapter.DeaggInfo
- 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_result(double) - Static method in class jline.lib.lti.gaverstehfest
- laplace_result(Apcomplex) - Static method in class jline.lib.lti.abatewhitt
- 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
- layer_init - Variable in class jline.solvers.SolverOptions.Config
-
SolverLN layer initialization strategy.
- 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 Kotlin 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
- 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
- LayeredNetwork models (LQN): - Search tag in class jline.io.ModelVisualizer
- Section
- LayeredNetworkStruct - Class in jline.lang.layered
-
Class summarizing the characteristics of a LayeredNetwork
- LayeredNetworkStruct() - Constructor for class jline.lang.layered.LayeredNetworkStruct
- 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
- LB - Variable in class jline.io.Ret.pfqnHarelBounds
-
Lower bound on throughput
- lcdScaling - Variable in class jline.lang.nodes.Station
- 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_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.
- 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_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.
- LDES - Class in jline.solvers.ldes
-
LDES is an alias for SolverLDES (Discrete Event Simulation solver).
- 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
- LdesCLI - Class in jline.cli
-
CLI for the standalone ldes.jar (LINE Discrete Event Simulator).
- LdesCLI() - Constructor for class jline.cli.LdesCLI
- LDESOptions - Class in jline.solvers.ldes
-
Configuration options for LINE Discrete Event Simulator (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
- 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.
- 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
- lE - Variable in class jline.io.Ret.cacheIs
- Learning Objectives - Search tag in package jline.examples.java.basic
- Section
- 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.
- 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
- level - Variable in class jline.io.tikz.SequenceDiagramTraverser.Interaction
- 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
- levelOf - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Flat
- lG - Variable in class jline.api.pfqn.nc.Pfqn_pas_is.Result
- 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.pfqnMom
- 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.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
- lGbasis - Variable in class jline.io.Ret.pfqnComomrm
- lGN - Variable in class jline.io.Ret.pfqnMVA
- lGopen - Variable in class jline.io.Ret.pfqnNcldmx
- lGremaind - Variable in class jline.io.Ret.pfqnNcSanitize
- LI - Enum constant in enum jline.lang.constant.ServiceStrategy
- 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.
- LINE - Class in jline.solvers.auto
-
LINE solver - Java/Kotlin 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_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
- line_warning(String, String, Object...) - Static method in class jline.io.InputOutput
- 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.
- 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
- LinearSolver - Class in jline.lib.mom.solver
- LinearSolver() - Constructor for class jline.lib.mom.solver.LinearSolver
- LinearSystemMatrices - Class in jline.lib.mom.solver
-
Container for the linear system matrices used in MOM solver
- LinearSystemMatrices(RealMatrix, RealMatrix, RealMatrix, RealMatrix) - Constructor for class jline.lib.mom.solver.LinearSystemMatrices
- Linear System Solvers - Search tag in package jline.util.matrix
- Section
- 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.
- 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(Network, List<DecisionVariable>, List<Pair<DecisionVariable, Object>>) - Constructor for class jline.opt.LineEvaluator
- 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/andmatlab/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-PythonLineOptSolver.defaultOptions(). - LineOptSolverOptions() - Constructor for class jline.opt.solver.LineOptSolverOptions
- lineTempName() - Static method in class jline.io.SysUtils
- lineTempName(String) - Static method in class jline.io.SysUtils
- 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(RoutingMatrix) - Method in class jline.lang.Network
- 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
- 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
-
List all valid solution methods supported by this solver
- listValidMethods() - Method in class jline.solvers.ldes.SolverLDES
-
Returns the list of valid solution methods for LDES.
- 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.wrappers.jmt.SolverJMT
- listValidMethods() - Method in class jline.solvers.wrappers.lqns.SolverLQNS
- listValidMethods() - Method in class jline.solvers.wrappers.qns.SolverQNS
-
List valid methods for this solver
- 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
- 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_linearize(Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Ljd
-
Convert per-class population vector to linearized index (0-indexed).
- 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.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.lang.nodes.Station
- 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, SolverOptions) - Constructor for class jline.solvers.ln.LN
- LNLDESResult - Class in jline.solvers.ldes
-
Result container for LayeredNetwork LDES simulation.
- LNLDESResult() - Constructor for class jline.solvers.ldes.LNLDESResult
- LNOptions - Class in jline.solvers.ln
- LNOptions() - Constructor for class jline.solvers.ln.LNOptions
- lNormConst - Variable in class jline.solvers.nc.SolverNC.NormalizingConstantResult
- 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.io.Ret.pfqnLDMXEC
- Lo - Variable in class jline.io.Ret.pfqnSensLdmxEc
- load(String) - Static method in class jline.io.LDESResultIO
-
Loads an
LDESResultfrom 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.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, 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
- 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).
- 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
- 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
- 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
- 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, 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
- lossCI - Variable in class jline.io.Ret.lossnMCI
- 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_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.
- lossnErlangFP(Matrix, Matrix, Matrix, int) - Constructor for class jline.io.Ret.lossnErlangFP
- lossnMCI(Matrix, Matrix, double, Matrix, Matrix, int) - Constructor for class jline.io.Ret.lossnMCI
- lossProb - Variable in class jline.io.Ret.lossnErlangFP
- 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.
- lowerBoundViolation(double, double) - Static method in class jline.opt.objectives.Constraint
-
Violation for a lower-bound constraint (actual >= bound).
- 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
-
Basic layered network (lqn_basic.ipynb).
- 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_function() - Static method in class jline.examples.java.basic.LayeredExamples
-
Function-oriented layered network (lqn_function.ipynb).
- lqn_function() - Static method in class jline.examples.java.basic.LayeredModel
-
Layered network with function task demonstrating FaaS/serverless.
- 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
-
Large enterprise layered network model (ofbizExample substitute).
- 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_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_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.
- 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.
- LQN2QN - Class in jline.io
-
Converts a LayeredNetwork (LQN) to a Network (QN).
- LQN2QN() - Constructor for class jline.io.LQN2QN
- 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.
- LQN Model Types - Search tag in package jline.bench.lqn
- Section
- 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
- 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
- lr - Variable in class jline.api.rl.RlTdAgent
- lr - Variable in class jline.api.rl.RlTdAgentGeneral
- 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.
- 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
- 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.lang.NetworkStruct
- LstFunction - Interface in jline.api.aoi
-
Functional interface for Laplace-Stieltjes Transform evaluation.
- 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.retrieval.Cache_retrieval_inputs.Inputs
- 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.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_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.mam.handlers.Solver_mam_ldqbd_statevec.Ld
- 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].
- 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.
- 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
- 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 a 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[]) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc
-
Simple wrapper function for m3pp2m_fitc
- 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(double[], double[], double[]) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc
- m3pp2m_fitc_approx_ag_multiclass(double[], double[], double[], double[]) - Static method in class jline.api.mam.m3pp.M3pp2m_fitc
-
Wrapper function for m3pp2m_fitc_approx_ag_multiclass
- 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.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.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.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.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.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.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.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.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.OpenExamples
-
Main method demonstrating all open queueing network examples.
- 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.GettingStarted
-
Main method for testing and demonstrating getting started examples.
- 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.NetworkGeneratorExample
- main(String[]) - Static method in class jline.examples.opt.LineOptExamples
- 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.mom.Main
- main(String[]) - Static method in class jline.lib.mom.SimpleExample
- main(String[]) - Static method in class jline.lib.perm.PermExample
- main(String[]) - Static method in class jline.unified.UnifiedTestRunner
- Main - Class in jline.lib.mom
- Main Classes - Search tag in package jline.io.tikz
- Section
- 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
- makeIntegerVector(int, int) - Method in class jline.gen.LayeredNetworkGenerator
-
Makes a vector of positive integers with given length and sum
- 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_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_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 invalid input: '<' 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
- 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_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
- 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
- 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.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_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_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_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
- 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
- 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
- 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 (ported from Kotlin).
- maph2m_fit(double, double, double, Matrix, Matrix) - Static method in class jline.api.mam.Maph2m_fit
-
Computes the second-order MAPH[m] fitting given moments, class probs, and 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
-
Fits MAPH(2,m) for multiple classes given underlying APH(2), class probabilities, and backward moments.
- 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_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.
- 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
- Mapqn_nlp_solver.ObjectiveFn - Interface in jline.api.mapqn
- 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
- 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_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_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
-
Transform a queueing network with MMPP2 service into a random environment model.
- MAPQN2RENV - Class in jline.io
-
Transforms a queueing network with MMPP2 service into a random environment model.
- MAPQN2RENV() - Constructor for class jline.io.MAPQN2RENV
- 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
- marginal - Variable in class jline.solvers.ctmc.CTMCResult.Prob
- 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
- 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 - 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
- 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 Kotlin Array
type. - 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
- Matrix Operations - Search tag in package jline.util.matrix
- Section
- 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.
- 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)).
- 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)
- 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
- 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.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.lib.kpctoolbox.Kpctoolbox
- 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.
- maxResAC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
- 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.mam.MAMOptions
- 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.
- 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
- 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
- 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_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_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_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.
- me_sample(Matrix, Matrix, long, Random) - Static method in class jline.api.mam.Me_sample
-
Generates random samples from a Matrix Exponential (ME) distribution using inverse CDF interpolation.
- Me_sample - Class in jline.api.mam
-
ME sampling algorithms using inverse CDF interpolation.
- 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.
- mean - Variable in class jline.lang.processes.Distribution
- mean - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
- mean() - Method in class jline.lang.processes.Coxian
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.Det
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.Distribution
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.Erlang
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.Exp
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.Gamma
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.HyperExp
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.Lognormal
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.Pareto
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.PH
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.Uniform
-
Kotlin-style property alias for getMean()
- mean() - Method in class jline.lang.processes.Weibull
-
Kotlin-style 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.
- 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.
- 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.qsys.Qsys_mmck.Result
-
Mean number of jobs in the system, L.
- 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.
- meanSojournTime - Variable in class jline.api.qsys.Qsys_mmck.Result
-
Mean sojourn time, W.
- meanWaitingTime - Variable in class jline.api.qsys.Qsys_mmck.Result
-
Mean waiting time in queue, Wq (Little's law on the effective rate).
- 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
- 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
- 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.
- 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) - 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) - 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) - 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.
- 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.
- 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
- 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.pfqnNcXQ
- method - Variable in class jline.io.Ret.pfqnSchmidt
-
Method identifier
- 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(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_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
- methodFeatureSet(String) - Static method in class jline.solvers.mva.SolverMVA
-
Per-method feature deltas applied to the base MVA envelope.
- MethodStepHandler - Class in jline.solvers.fluid.handlers
- MethodStepHandler(int) - Constructor for class jline.solvers.fluid.handlers.MethodStepHandler
- 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
- 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.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
- 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_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
- 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 queue length using ETAQA.
- 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.
- 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
- 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.lib.kpctoolbox.Kpctoolbox
- 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
- missprob - Variable in class jline.api.da.Da_cacheqn_retrieval.Result
- 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
- MixedExamples - Class in jline.examples.java.basic
-
Mixed queueing network examples mirroring the Kotlin 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.CharMaxResult
- MK - Variable in class jline.api.fj.FJ_xmax.FJXmaxParetoResult
- MM - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
- 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
- mm1k() - Static method in class jline.examples.java.advanced.FCRegionModel
-
M/M/1/K using queue capacity (K=2, for comparison).
- mmap - Variable in class jline.api.mam.Mamap2m_fit_fb_multiclass.FitResult
- 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
- 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 (ported from Kotlin).
- 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
- 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.
- mmk() - Static method in class jline.examples.java.advanced.PassAndSwapExample
-
M/M/K order-independent queue solved by CTMC.
- 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 Markovian Arrival Process (MMPP2) to match the given first three moments and a fourth parameter G2.
- 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
- mmpp2_fit_mu11(double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fit
- mmpp2_fit_q01(double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fit
- mmpp2_fit_q10(double, double, double, double) - Static method in class jline.api.mam.Mmpp2_fit
- 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
- 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.
- MockHttpReceiver - Class in jline.streaming
-
Mock HTTP receiver for testing streaming functionality.
- MockHttpReceiver() - Constructor for class jline.streaming.MockHttpReceiver
-
Creates a mock HTTP receiver on a random available port.
- 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.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.streaming.StreamingOptions
-
Streaming mode: SAMPLED or TIME_WINDOW
- 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
- model - Variable in class jline.api.rl.RlEnv
- model - Variable in class jline.api.rl.RlEnvGeneral
- 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.
- 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
- Model Complexity Levels - Search tag in package jline.examples
- Section
- ModelEdge(String, ModelVisualizer.EdgeType) - Constructor for class jline.io.ModelVisualizer.ModelEdge
- modelEvaluations - Variable in class jline.opt.results.OptimizationResult
- 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.
- Model Templates - Search tag in package jline.examples.java.models
- Section
- Model Types - Search tag in package jline.examples.java
- Section
- 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
- modified_nrm_direct(Matrix, List<Integer>[], BiFunction<Matrix, ArrayDeque<Integer>[], Double>[], Matrix, ArrayDeque<Integer>[], int, SolverOptions, 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.
- 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_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_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_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_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_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_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_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_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.
- moments() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getMoments()
- 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.
- 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
- MomSolver - Class in jline.lib.mom.solver
- MomSolver() - Constructor for class jline.lib.mom.solver.MomSolver
- MomSolverResult - Class in jline.lib.mom.solver
-
Result container for MOM solver computations.
- MomSolverResult(RealMatrix, RealMatrix, double[]) - Constructor for class jline.lib.mom.solver.MomSolverResult
- MomUtils - Class in jline.lib.mom.util
-
MOM-specific utility functions for combinatorial operations Complements the existing jline.util.Maths class
- 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
- 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
- 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
- ms_additivesymmetricchisquared(Matrix, Matrix) - Static method in class jline.api.measures.Ms_additivesymmetricchisquared
-
Additive symmetric chi-squared distance between two probability distributions.
- Ms_additivesymmetricchisquared - Class in jline.api.measures
- ms_anderson_darling(Matrix, Matrix) - Static method in class jline.api.measures.Ms_anderson_darling
-
Anderson-Darling distance between two empirical distributions.
- Ms_anderson_darling - Class in jline.api.measures
- ms_avgl1linfty(Matrix, Matrix) - Static method in class jline.api.measures.Ms_avgl1linfty
-
Average L1 L-infinity distance between two probability distributions.
- Ms_avgl1linfty - Class in jline.api.measures
- ms_bhattacharyya(Matrix, Matrix) - Static method in class jline.api.measures.Ms_bhattacharyya
-
Bhattacharyya distance between two probability distributions.
- Ms_bhattacharyya - Class in jline.api.measures
- ms_canberra(Matrix, Matrix) - Static method in class jline.api.measures.Ms_canberra
-
Canberra distance between two probability distributions.
- Ms_canberra - Class in jline.api.measures
- ms_chebyshev(Matrix, Matrix) - Static method in class jline.api.measures.Ms_chebyshev
-
Chebyshev distance between two probability distributions.
- Ms_chebyshev - Class in jline.api.measures
- ms_cityblock(Matrix, Matrix) - Static method in class jline.api.measures.Ms_cityblock
-
City block (Manhattan) distance between two probability distributions.
- Ms_cityblock - Class in jline.api.measures
- ms_clark(Matrix, Matrix) - Static method in class jline.api.measures.Ms_clark
-
Clark distance between two probability distributions.
- Ms_clark - Class in jline.api.measures
- ms_condentropy(Matrix, Matrix) - Static method in class jline.api.measures.Ms_condentropy
-
Compute conditional entropy z=H(x|y) of two discrete variables x and y.
- Ms_condentropy - Class in jline.api.measures
- ms_cosine(Matrix, Matrix) - Static method in class jline.api.measures.Ms_cosine
-
Cosine distance between two probability distributions.
- Ms_cosine - Class in jline.api.measures
- ms_cramer_von_mises(Matrix, Matrix) - Static method in class jline.api.measures.Ms_cramer_von_mises
-
Cramer-von Mises distance between two empirical distributions.
- Ms_cramer_von_mises - Class in jline.api.measures
- ms_czekanowski(Matrix, Matrix) - Static method in class jline.api.measures.Ms_czekanowski
-
Czekanowski distance between two probability distributions.
- Ms_czekanowski - Class in jline.api.measures
- ms_dice(Matrix, Matrix) - Static method in class jline.api.measures.Ms_dice
-
Dice distance between two probability distributions.
- Ms_dice - Class in jline.api.measures
- ms_divergence(Matrix, Matrix) - Static method in class jline.api.measures.Ms_divergence
-
Divergence distance between two probability distributions.
- Ms_divergence - Class in jline.api.measures
- ms_entropy(Matrix) - Static method in class jline.api.measures.Ms_entropy
-
Compute entropy z=H(x) of a discrete variable x.
- Ms_entropy - Class in jline.api.measures
- ms_euclidean(Matrix, Matrix) - Static method in class jline.api.measures.Ms_euclidean
-
Euclidean distance between two probability distributions.
- Ms_euclidean - Class in jline.api.measures
- ms_fidelity(Matrix, Matrix) - Static method in class jline.api.measures.Ms_fidelity
-
Fidelity distance between two probability distributions.
- Ms_fidelity - Class in jline.api.measures
- ms_gower(Matrix, Matrix) - Static method in class jline.api.measures.Ms_gower
-
Gower distance between two probability distributions.
- Ms_gower - Class in jline.api.measures
- ms_harmonicmean(Matrix, Matrix) - Static method in class jline.api.measures.Ms_harmonicmean
-
Harmonic mean distance between two probability distributions.
- Ms_harmonicmean - Class in jline.api.measures
- ms_hellinger(Matrix, Matrix) - Static method in class jline.api.measures.Ms_hellinger
-
Hellinger distance between two probability distributions.
- Ms_hellinger - Class in jline.api.measures
- ms_intersection(Matrix, Matrix) - Static method in class jline.api.measures.Ms_intersection
-
Intersection distance between two probability distributions.
- Ms_intersection - Class in jline.api.measures
- ms_jaccard(Matrix, Matrix) - Static method in class jline.api.measures.Ms_jaccard
-
Jaccard distance between two probability distributions.
- Ms_jaccard - Class in jline.api.measures
- ms_jeffreys(Matrix, Matrix) - Static method in class jline.api.measures.Ms_jeffreys
-
Jeffreys divergence between two probability distributions.
- Ms_jeffreys - Class in jline.api.measures
- ms_jensendifference(Matrix, Matrix) - Static method in class jline.api.measures.Ms_jensendifference
-
Jensen difference divergence between two probability distributions.
- Ms_jensendifference - Class in jline.api.measures
- ms_jensenshannon(Matrix, Matrix) - Static method in class jline.api.measures.Ms_jensenshannon
-
Jensen-Shannon divergence between two probability distributions.
- Ms_jensenshannon - Class in jline.api.measures
- ms_jointentropy(Matrix, Matrix) - Static method in class jline.api.measures.Ms_jointentropy
-
Compute joint entropy z=H(x,y) of two discrete variables x and y.
- Ms_jointentropy - Class in jline.api.measures
- ms_kdivergence(Matrix, Matrix) - Static method in class jline.api.measures.Ms_kdivergence
-
K-divergence between two probability distributions.
- Ms_kdivergence - Class in jline.api.measures
- ms_kolmogorov_smirnov(Matrix, Matrix) - Static method in class jline.api.measures.Ms_kolmogorov_smirnov
-
Kolmogorov-Smirnov distance between two empirical distributions.
- Ms_kolmogorov_smirnov - Class in jline.api.measures
- ms_kuiper(Matrix, Matrix) - Static method in class jline.api.measures.Ms_kuiper
-
Kuiper distance between two empirical distributions.
- Ms_kuiper - Class in jline.api.measures
- ms_kulczynskid(Matrix, Matrix) - Static method in class jline.api.measures.Ms_kulczynskid
-
Kulczynski d distance between two probability distributions.
- Ms_kulczynskid - Class in jline.api.measures
- ms_kulczynskis(Matrix, Matrix) - Static method in class jline.api.measures.Ms_kulczynskis
-
Kulczynski s distance between two probability distributions.
- Ms_kulczynskis - Class in jline.api.measures
- ms_kullbackleibler(Matrix, Matrix) - Static method in class jline.api.measures.Ms_kullbackleibler
-
Kullback-Leibler divergence between two probability distributions.
- Ms_kullbackleibler - Class in jline.api.measures
- ms_kumarhassebrook(Matrix, Matrix) - Static method in class jline.api.measures.Ms_kumarhassebrook
-
Kumar-Hassebrook distance between two probability distributions.
- Ms_kumarhassebrook - Class in jline.api.measures
- ms_kumarjohnson(Matrix, Matrix) - Static method in class jline.api.measures.Ms_kumarjohnson
-
Kumar-Johnson distance between two probability distributions.
- Ms_kumarjohnson - Class in jline.api.measures
- ms_lorentzian(Matrix, Matrix) - Static method in class jline.api.measures.Ms_lorentzian
-
Lorentzian distance between two probability distributions.
- Ms_lorentzian - Class in jline.api.measures
- ms_matusita(Matrix, Matrix) - Static method in class jline.api.measures.Ms_matusita
-
Matusita distance between two probability distributions.
- Ms_matusita - Class in jline.api.measures
- ms_minkowski(Matrix, Matrix, double) - Static method in class jline.api.measures.Ms_minkowski
-
Minkowski distance between two probability distributions.
- Ms_minkowski - Class in jline.api.measures
- ms_motyka(Matrix, Matrix) - Static method in class jline.api.measures.Ms_motyka
-
Motyka distance between two probability distributions.
- Ms_motyka - Class in jline.api.measures
- ms_mutinfo(Matrix, Matrix) - Static method in class jline.api.measures.Ms_mutinfo
-
Compute mutual information I(x,y) of two discrete variables x and y.
- Ms_mutinfo - Class in jline.api.measures
-
Mutual information for discrete variables.
- ms_neymanchisquared(Matrix, Matrix) - Static method in class jline.api.measures.Ms_neymanchisquared
-
Neyman chi-squared distance between two probability distributions.
- Ms_neymanchisquared - Class in jline.api.measures
- ms_nmi(Matrix, Matrix) - Static method in class jline.api.measures.Ms_nmi
-
Compute normalized mutual information I(x,y)/sqrt(H(x)*H(y)) of two discrete variables x and y.
- Ms_nmi - Class in jline.api.measures
- ms_nvi(Matrix, Matrix) - Static method in class jline.api.measures.Ms_nvi
-
Compute normalized variation information z=(1-I(x,y)/H(x,y)) of two discrete variables x and y.
- Ms_nvi - Class in jline.api.measures
- ms_pearsonchisquared(Matrix, Matrix) - Static method in class jline.api.measures.Ms_pearsonchisquared
-
Pearson chi-squared distance between two probability distributions.
- Ms_pearsonchisquared - Class in jline.api.measures
- ms_probsymmchisquared(Matrix, Matrix) - Static method in class jline.api.measures.Ms_probsymmchisquared
-
Probabilistic symmetry chi-squared distance between two probability distributions.
- Ms_probsymmchisquared - Class in jline.api.measures
- ms_product(Matrix, Matrix) - Static method in class jline.api.measures.Ms_product
-
Product distance between two probability distributions.
- Ms_product - Class in jline.api.measures
- ms_relatentropy(Matrix, Matrix) - Static method in class jline.api.measures.Ms_relatentropy
-
Compute relative entropy (KL divergence) z=KL(p(x)||p(y)) of two discrete variables x and y.
- Ms_relatentropy - Class in jline.api.measures
- ms_ruzicka(Matrix, Matrix) - Static method in class jline.api.measures.Ms_ruzicka
-
Ruzicka distance between two probability distributions.
- Ms_ruzicka - Class in jline.api.measures
- ms_soergel(Matrix, Matrix) - Static method in class jline.api.measures.Ms_soergel
-
Soergel distance between two probability distributions.
- Ms_soergel - Class in jline.api.measures
- ms_sorensen(Matrix, Matrix) - Static method in class jline.api.measures.Ms_sorensen
-
Sorensen distance between two probability distributions.
- Ms_sorensen - Class in jline.api.measures
- ms_squaredchisquared(Matrix, Matrix) - Static method in class jline.api.measures.Ms_squaredchisquared
-
Squared chi-squared distance between two probability distributions.
- Ms_squaredchisquared - Class in jline.api.measures
- ms_squaredchord(Matrix, Matrix) - Static method in class jline.api.measures.Ms_squaredchord
-
Squared chord distance between two probability distributions.
- Ms_squaredchord - Class in jline.api.measures
- ms_squaredeuclidean(Matrix, Matrix) - Static method in class jline.api.measures.Ms_squaredeuclidean
-
Squared Euclidean distance between two probability distributions.
- Ms_squaredeuclidean - Class in jline.api.measures
- ms_taneja(Matrix, Matrix) - Static method in class jline.api.measures.Ms_taneja
-
Taneja distance between two probability distributions.
- Ms_taneja - Class in jline.api.measures
- ms_tanimoto(Matrix, Matrix) - Static method in class jline.api.measures.Ms_tanimoto
-
Tanimoto distance between two probability distributions.
- Ms_tanimoto - Class in jline.api.measures
- ms_topsoe(Matrix, Matrix) - Static method in class jline.api.measures.Ms_topsoe
-
Topsoe distance between two probability distributions.
- Ms_topsoe - Class in jline.api.measures
- ms_wasserstein(Matrix, Matrix) - Static method in class jline.api.measures.Ms_wasserstein
-
Wasserstein distance (Earth Mover's Distance) between two empirical distributions.
- Ms_wasserstein - Class in jline.api.measures
- ms_wavehegdes(Matrix, Matrix) - Static method in class jline.api.measures.Ms_wavehegdes
-
Wave-Hedges distance between two probability distributions.
- Ms_wavehegdes - Class in jline.api.measures
- mserbatch - Variable in class jline.solvers.ldes.LDESOptions
-
Batch size for MSER transient detection algorithm.
- 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
- 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(List<Matrix>) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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.
- mtrace_var(List<Matrix>) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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.npfqn.Npfqn_traffic_idc
- 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() - Method in class jline.lang.processes.Coxian
-
Kotlin-style property alias for getMu()
- mu() - Method in class jline.lang.processes.Det
-
Kotlin-style property alias for getMu()
- mu() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getMu()
- MU - Variable in class jline.api.cache.CacheMissFpiResult
- MU_t - Variable in class jline.api.cache.CacheMissRmfTranResult
-
Per-user miss-rate trajectory (u x nt).
- muf - Variable in class jline.io.Ret.pfqnOifnc
- mulByMinusOne() - Method in class jline.util.matrix.Matrix
-
Multiplies all elements in the matrix by -1 in-place.
- 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.
- 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.
- 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, 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
- 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
- multiserver - Variable in class jline.solvers.SolverOptions.Config
-
Multi-server scheduling strategy
- 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
- 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
- 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
- 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
- MVPH - Class in jline.lib.kpctoolbox.mvph
- mvph_corr(double[], Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.mvph.MVPH
- mvph_corr(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- mvph_cov(double[], Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.mvph.MVPH
- mvph_cov(Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_joint(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- mvph_mean_x(double[], Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.mvph.MVPH
- mvph_mean_x(Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- mvph_mean_y(double[], Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.mvph.MVPH
- mvph_mean_y(Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
N
- n - Variable in class jline.io.Ret.cacheGamma
- n - Variable in class jline.lib.perm.PermSolver
- 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.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.mam.handlers.RCATModel
- N - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
- N_server - Variable in class jline.api.qsys.QsysRetrialResult
- 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.lang.Element
- 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.Solver
-
Name identifier for this solver instance
- name - Variable in class jline.util.NamedParam
-
The parameter name/identifier
- name() - Method in class jline.lang.processes.Distribution
-
Kotlin-style property alias for getName()
- name() - Method in class jline.lang.processes.Process
-
Kotlin-style 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.LayeredNetworkStruct
- nanMean - Variable in class jline.util.Utils.MapeResult
- nanstop - Variable in class jline.api.da.Da_fpi.Options
- 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_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 Pinvalid input: '&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".
- 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.lang.ModelAdapter.DeaggInfo
- nclasses - Variable in class jline.lang.NetworkStruct
- nclosedjobs - Variable in class jline.lang.NetworkStruct
- 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
- 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
- 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.RoutingErgodicityResult - Class in jline.lang
-
Result class for isRoutingErgodic method
- Network.routingMatrixReturn - Class in jline.lang
- Network Analysis - Search tag in package jline.util.graph
- Section
- 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>) - 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>) - 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
- 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.
- 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
- Network models (queueing networks): - Search tag in class jline.io.ModelVisualizer
- Section
- 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 themomstruct that MATLAB'sgetMomentTablereturns as its second output. - NetworkMomentResult() - Constructor for class jline.solvers.NetworkMomentResult
- NetworkMomentStationResult - Class in jline.solvers
-
Raw moment results behind
NetworkMomentStationTable, mirroring themomstruct that MATLAB'sgetMomentStationTablereturns 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).
- 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
- Network Topology: - Search tag in class jline.io.LQN2QN
- Section
- networkType - Variable in class jline.bench.fj.BenchFJ_Nested.BenchmarkResult
- Network Types - Search tag in package jline.examples.java.models
- Section
- 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
- 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(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.Mmap_sample.MmapSampler
-
Draws one marked inter-event time, advancing (and retaining) the phase.
- 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.
- nextDouble() - Method in class jline.solvers.ldes.handlers.Solver_ssj.ConstantGen
- nextDouble() - Static method in class jline.util.RandomManager
-
Generates a random double value in [0.0, 1.0) using the thread-specific generator.
- 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 = residualforx, walking the schedule forward and consuming the budget segment by segment. - 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).
- nfev - Variable in class jline.opt.solver.de.DifferentialEvolution.Result
- nGroups - Variable in class jline.api.sn.SnBuildFjSyncMap.FjSyncMap
-
total number of sync groups.
- nhosts - Variable in class jline.lang.layered.LayeredNetworkStruct
- 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.RateSchedule - Class in jline.lang.processes
-
A piecewise-constant rate schedule: the parameterisation shared by every schedule-bearing process.
- 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.io.Ret.lossnErlangFP
- 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.mam.handlers.Solver_mam_ldqbd_statevec.Ld
- 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.lang.NetworkStruct
- nnzcmp(int[], int[]) - Static method in class jline.util.Maths
-
Compares two arrays by number of zeros and their positions.
- 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.ctmc.CTMCResult.TranProbAggrResult
- node - Variable in class jline.solvers.ctmc.SolverCTMC.EventInfo
- 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
- 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
- Node Shapes - Search tag in package jline.io.tikz
- Section
- nodeSpace - Variable in class jline.solvers.ctmc.CTMCResult
- 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.
- NONE - Enum constant in enum jline.api.sn.ValidationLevel
-
Skip all validation for maximum performance.
- 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
- 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()).
- NormMomsFromMoms - Class in jline.lib.butools
- NormMomsFromMoms(double[]) - Static method in class jline.lib.butools.NormMomsFromMoms
- NP - Enum constant in enum jline.lang.constant.SchedStrategyType
- np_priority - Variable in class jline.solvers.SolverOptions.Config
-
Non-preemptive priority handling
- 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.nclosedjobsand 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_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
- npfqnNonexpApprox(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.npfqnNonexpApprox
- nPhases - Variable in class jline.lang.processes.Markovian
- nPhases - Variable in class jline.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
- NPPrio - Enum constant in enum jline.lang.constant.SchedStrategyType
- NPPRIO - Static variable in class jline.api.pfqn.Pfqn_mwrbb
- nqueues - Variable in class jline.api.rl.RlEnvGeneral
-
Number of queues in the network.
- nregions - Variable in class jline.lang.NetworkStruct
- 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, 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[][], 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
- NrmSpaceResult(List<Double>, Matrix, List<ArrayDeque<Integer>[]>) - Constructor for class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.NrmSpaceResult
- nrp_h(Matrix, Matrix, double, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_nrp
- nsamples - Variable in class jline.io.Ret.lossnMCI
- 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
- nstateful - Variable in class jline.lang.NetworkStruct
- nstates - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
- nstations - Variable in class jline.lang.NetworkStruct
- ntasks - Variable in class jline.lang.layered.LayeredNetworkStruct
- 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_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
-
Kotlin-style property alias for getNumberOfPhases()
- numberOfPhases() - Method in class jline.lang.processes.Exp
-
Kotlin-style property alias for getNumberOfPhases()
- numberOfPhases() - Method in class jline.lang.processes.HyperExp
-
Kotlin-style property alias for getNumberOfPhases()
- numberOfPhases() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getNumberOfPhases()
- numberOfPhases() - Method in class jline.lang.processes.PH
-
Kotlin-style 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
- numParam - Variable in class jline.lang.processes.Distribution
- numParams() - Method in class jline.lang.processes.Process
-
Kotlin-style property alias for getNumParams()
- numParams(int) - Method in class jline.lang.processes.Distribution
-
Kotlin-style property alias for getNumParams(int id)
- numPhases - Variable in class jline.lib.m3a.M3A.PhaseTypeParameters
- numPhases() - Method in class jline.lang.processes.Coxian
-
Kotlin-style property alias for getNumberOfPhases()
- numPhases() - Method in class jline.lang.processes.Exp
-
Kotlin-style property alias for getNumberOfPhases()
- numPhases() - Method in class jline.lang.processes.HyperExp
-
Kotlin-style property alias for getNumberOfPhases()
- numPhases() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getNumberOfPhases()
- numPhases() - Method in class jline.lang.processes.PH
-
Kotlin-style property alias for getNumberOfPhases()
- NumpyRandomState - Class in jline.opt.solver.de
-
Bit-exact port of the subset of
numpy.random.RandomStateconsumed by scipy'sdifferential_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
- numStates - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
- 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
- nv - Variable in class jline.util.Maths.simplexQuadResult
- nvars - Variable in class jline.lang.NetworkStruct
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).
- 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.
- ode - Variable in class jline.inference.api.Infer_fluid_ps_rt_likelihood.FluidPsRtResult
- 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
- 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
- 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.PermCheckResult
- ok - Variable in class jline.solvers.ctmc.MemoryGuard.GateResult
- on(Processor) - Method in class jline.lang.layered.FunctionTask
-
Deprecated.
- 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.
- 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.lib.kpctoolbox.Kpctoolbox
- 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
- 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 Kotlin notebooks in openQN.
- OpenExamples() - Constructor for class jline.examples.java.basic.OpenExamples
- 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
- 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(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.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.io.LQN2UML.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
-
Basic open queueing network (oqn_basic.ipynb).
- oqn_basic() - Static method in class jline.examples.java.basic.OpenModel
-
Simple open network with delay and queue in series.
- 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_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
- orbitImpatience - Variable in class jline.lang.NetworkStruct
- orbitImpatienceDistributions - Variable in class jline.lang.nodes.Station
- 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 - 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.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
- 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
- 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
- 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
- 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
- overtakeProb(int) - Method in class jline.solvers.ln.SolverLN
-
Compute overtaking probability using transient Markov chain.
- OWNSERVER - Enum constant in enum jline.api.npfqn.Npfqn_sqd.NeighborMode
P
- p - Variable in class jline.api.mc.Ctmc_multi.CtmcMultiResult
- 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.api.infer.InferLqnResult
- 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.infer.InferLqnOptions
- P0 - Variable in class jline.api.infer.InferLqnResult
- 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.
- PAR - Enum constant in enum jline.io.tikz.SequenceDiagramTraverser.Fragment.FragmentType
- PARALLEL - Enum constant in enum jline.lib.kpctoolbox.aph.APH.ConvolutionPattern
- parallels - Variable in class jline.api.wf.Wf_analyzer.DetectedPatterns
- param(int) - Method in class jline.lang.processes.Distribution
-
Kotlin-style property alias for getParam(int id)
- param(int) - Method in class jline.lang.processes.Process
-
Kotlin-style 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
- Parameter Types - Search tag in package jline.lang.nodeparam
- Section
- 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.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.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_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.
- 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.
- parseOptions(Object...) - Static method in class jline.solvers.Solver
-
Parses option parameters into a SolverOptions data structure.
- parseOptions(Object...) - Static method in class jline.solvers.wrappers.qns.SolverQNS
-
Parse options from variable arguments
- 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.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_placement - Class in jline.api.pfqn.nc
-
Placement-order logic of a pass-and-swap (Pinvalid input: '&S') / order-independent network with swap graph H.
- 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 (Pinvalid input: '&S') tandem 1->2->1 directly from its swap graph, for use with
Pfqn_pas_is. - 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].
- patience - Variable in class jline.lang.NodeParam
-
Patience distributions by job class for customer abandonment modeling
- patienceDistributions - Variable in class jline.lang.nodes.Station
- 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
- PDF - Enum constant in enum jline.io.LQN2UML.Format
- 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
- pdh - Variable in class jline.api.retrieval.Retrieval_fpi.Result
- pdh - Variable in class jline.api.retrieval.Retrieval_metrics.Result
- 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
- 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}). - perctRespT(double[]) - Method in class jline.solvers.auto.SolverAUTO
-
Alias for getPerctRespT()
- Performance Analysis - Search tag in package jline.bench.lqn
- Section
- Performance Features - Search tag in package jline.util.matrix
- Section
- performanceMetrics - Variable in class jline.api.wf.WorkflowManager.WorkflowAnalysisResult
- Performance Metrics - Search tag in package jline.bench.cqn
- Section
- 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.
- 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
- 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
- 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_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_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_bsfcfs(Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_bsfcfs
- pfqn_bsfcfs(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_bsfcfs
- pfqn_bsfcfs(Matrix, Matrix, Matrix, double) - Static method in class jline.api.pfqn.mva.Pfqn_bsfcfs
- pfqn_bsfcfs(Matrix, Matrix, Matrix, double, int) - Static method in class jline.api.pfqn.mva.Pfqn_bsfcfs
- pfqn_bsfcfs(Matrix, Matrix, Matrix, double, int, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_bsfcfs
- pfqn_bsfcfs(Matrix, Matrix, Matrix, double, int, Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_bsfcfs
-
Bard-Schweitzer approximate MVA for FCFS scheduling with weighted priorities.
- Pfqn_bsfcfs - Class in jline.api.pfqn.mva
- 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_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_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 - 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_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
- 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_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_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 - 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_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_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_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_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_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_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_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_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_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_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_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_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_mci(Matrix, Matrix, Matrix, int, String) - Static method in class jline.api.pfqn.nc.Pfqn_mci
- Pfqn_mci - Class in jline.api.pfqn.nc
- 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_mom(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_mom
- Pfqn_mom - Class in jline.api.pfqn.nc
-
Method of Moments (MOM) solver for product-form queueing networks.
- 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
- 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_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_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_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 - 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_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
- pfqn_nc(Matrix, Matrix, Matrix, Matrix, SolverOptions) - 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_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 for mixed open/closed networks with limited load dependence.
- Pfqn_ncldmx - Class in jline.api.pfqn.ld
- 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
- pfqn_oi_nc(double[], int[], List<ToDoubleFunction<int[]>>) - Static method in class jline.api.pfqn.nc.Pfqn_oi_nc
-
Normalizing constant of a closed OI + single-delay product-form network.
- Pfqn_oi_nc - Class in jline.api.pfqn.nc
- 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_pas_is(int[], List<ToDoubleFunction<int[]>>, int[][], long, long, boolean) - Static method in class jline.api.pfqn.nc.Pfqn_pas_is
- 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 (Pinvalid input: '&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_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_qd(Matrix, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_qd
- pfqn_qd(Matrix, Matrix, Pfqn_qd.GammaFunction) - Static method in class jline.api.pfqn.mva.Pfqn_qd
- pfqn_qd(Matrix, Matrix, Pfqn_qd.GammaFunction, Pfqn_qd.BetaFunction) - Static method in class jline.api.pfqn.mva.Pfqn_qd
- pfqn_qd(Matrix, Matrix, Pfqn_qd.GammaFunction, Pfqn_qd.BetaFunction, Matrix) - Static method in class jline.api.pfqn.mva.Pfqn_qd
-
Queue-Dependent (QD) approximate MVA solver
- Pfqn_qd - Class in jline.api.pfqn.mva
- Pfqn_qd.BetaFunction - Interface in jline.api.pfqn.mva
- Pfqn_qd.GammaFunction - Interface in jline.api.pfqn.mva
- 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_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_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_ecdoes, 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_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_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_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_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 low 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
- 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
- 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
- pfqnMom(Matrix, Matrix, BigFraction, double, BigFraction[], BigFraction[]) - Constructor for class jline.io.Ret.pfqnMom
- 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
- pfqnNcSanitize(Matrix, Matrix, Matrix, Matrix, double) - Constructor for class jline.io.Ret.pfqnNcSanitize
- 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
- 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
- pfqnQd(Matrix, Matrix, Matrix, int) - Constructor for class jline.io.Ret.pfqnQd
- pfqnRd(Double) - Constructor for class jline.io.Ret.pfqnRd
- pfqnRd(Double, Double) - Constructor for class jline.io.Ret.pfqnRd
- 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
- 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_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
- phase - Variable in class jline.lang.layered.Activity
- PHASE - Enum constant in enum jline.lang.constant.EventType
- Phase-2 Support: - Search tag in class jline.io.LQN2QN
- Section
- phases - Variable in class jline.lang.NetworkStruct
- phaseshift - Variable in class jline.lang.NetworkStruct
- phasessz - Variable in class jline.lang.NetworkStruct
- PhaseTypeParameters(int) - Constructor for class jline.lib.m3a.M3A.PhaseTypeParameters
- 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.retrieval.Retrieval_fpi_latency.Result
- phi - Variable in class jline.lang.NetworkStruct
- phi() - Method in class jline.lang.processes.Coxian
-
Kotlin-style property alias for getPhi()
- phi() - Method in class jline.lang.processes.Det
-
Kotlin-style property alias for getPhi()
- phi() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getPhi()
- Phi - Variable in class jline.api.pfqn.ld.Pfqn_oi_insvc.Result
-
Phi[i], the OI balance function.
- 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
- 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
- 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
- pi - Variable in class jline.api.mc.Ctmc_solve_reducible.CtmcSolveReducibleResult
- 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.qsys.QsysRetrialResult
- 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.mam.handlers.BMAPMAP1Result
-
Aggregated stationary probabilities [pi0, pi1, piStar]
- pi - Variable in class jline.solvers.mam.handlers.INAPResult
- pi - Variable in class jline.solvers.mam.handlers.MAPBMAP1Result
- 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.mc.Ctmc_solve_reducible.CtmcSolveReducibleResult
- pi0 - Variable in class jline.api.mc.Dtmc_solve_reducible.DtmcSolveReducibleResult
- 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_t - Variable in class jline.api.cache.CacheMissRmfTranResult
-
Per-item list-0 occupancy (miss probability) trajectory (n x nt).
- pie - Variable in class jline.lang.NetworkStruct
- 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
- pil - Variable in class jline.api.mc.Dtmc_solve_reducible.DtmcSolveReducibleResult
- 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.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.io.Ret.pfqnDAC
- pk - Variable in class jline.io.Ret.pfqnProcomom2
- pk - Variable in class jline.lang.state.Polling.Info
-
K parameter of KLIMITED polling.
- 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.
- 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.
- 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
- 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
- PNR - Enum constant in enum jline.lang.constant.SchedStrategyType
- 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.lang.constant.ProcessType
- poisson_example() - Static method in class jline.lib.kpctoolbox.MAPCatalog
-
Poisson Example Source: poisson_example.m Category: Examples
- 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
- 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
- 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).
- 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
- 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(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
- Pr - Variable in class jline.io.Ret.pfqnProcomom
- 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.
- 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.
- 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.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.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.NetworkAvgSysTable
- print() - Method in class jline.solvers.NetworkAvgTable
- 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.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.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.NetworkAvgSysTable
- print(SolverOptions) - Method in class jline.solvers.NetworkAvgTable
- 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.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_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.
- printBenchmarkSummary(String, List<BenchmarkRegression.BenchmarkResult>) - Static method in class jline.bench.BenchmarkFormatter
-
Format benchmark results as a table similar to MATLAB output
- 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
- printIterationResult(String, int, Map<String, Object>) - Static method in class jline.bench.BenchmarkFormatter
-
Print individual benchmark iteration results
- printNonZero() - Method in class jline.util.matrix.Matrix
-
Prints only non-zero values and their positions in the matrix.
- printRegressionSummary(String, boolean, double, double) - Static method in class jline.bench.BenchmarkFormatter
-
Print regression test summary
- 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.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.NetworkAvgSysTable
- printTable() - Method in class jline.solvers.NetworkAvgTable
- 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.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.NetworkAvgSysTable
- printTable(SolverOptions) - Method in class jline.solvers.NetworkAvgTable
- 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 Kotlin 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
- 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
- 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.ctmc.CTMCResult
- prob - Variable in class jline.solvers.mam.handlers.ActionInfo
- 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
- 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
- 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.
- probEnv - Variable in class jline.lang.Environment
- probFun - Variable in class jline.lang.Event
- 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
- probOrig - Variable in class jline.lang.Environment
- probs - Variable in class jline.lang.state.Polling.Landing
-
Probability of each successor row.
- 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
-
Kotlin-style property alias for getProcess()
- process() - Method in class jline.lang.processes.Gamma
-
Kotlin-style property alias for getProcess()
- process() - Method in class jline.lang.processes.Lognormal
-
Kotlin-style property alias for getProcess()
- process() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getProcess()
- process() - Method in class jline.lang.processes.Pareto
-
Kotlin-style property alias for getProcess()
- process() - Method in class jline.lang.processes.PH
-
Kotlin-style property alias for getProcess()
- process() - Method in class jline.lang.processes.Uniform
-
Kotlin-style property alias for getProcess()
- process() - Method in class jline.lang.processes.Weibull
-
Kotlin-style 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.mam.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
- ProcessType - Enum in jline.lang.constant
-
Constants for specifying a point process type
- procid - Variable in class jline.lang.NetworkStruct
- 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
- prOvertake - Variable in class jline.solvers.ln.SolverLN
- 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
- 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.
- 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
- PythonCaller - Class in jline.util
-
Utility class for calling Python scripts from Java
- PythonCaller() - Constructor for class jline.util.PythonCaller
Q
- q - Variable in class jline.api.rl.RlTdAgent
- 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.infer.InferLqnOptions
- Q - Variable in class jline.api.infer.InferLqnResult
- Q - Variable in class jline.api.pfqn.mva.Pfqn_momlin.MomlinResult
- Q - Variable in class jline.api.pfqn.mva.Pfqn_sqni.PfqnSqniResult
- 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.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.pfqnDAC
- Q - Variable in class jline.io.Ret.pfqnMom
- 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.pfqnQd
- 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.lib.mom.solver.MomSolverResult
- Q - Variable in class jline.solvers.ctmc.CTMCResult.AVG
- Q - Variable in class jline.solvers.mam.handlers.INAPResult
- 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.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_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.solvers.mam.handlers.Solver_mam_ldqbd_statevec.Ld
- 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.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
- 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_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
- 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
- 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
- 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
- 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
- QFac - Variable in class jline.api.infer.InferLqnOptions
- qIndices - Variable in class jline.inference.api.Infer_fluid_ps_rt_likelihood.FluidPsRtResult
- qLen - Variable in class jline.io.Ret.lossnErlangFP
- 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 - 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_momwithgroups = 1..R, i.e. - 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]
- 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.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.pfqnSchmidt
-
Queue length matrix (M x R)
- 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.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.SolverResult
-
Mean queue lengths [stations x classes]
- QN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
- 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
- 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. - 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]
- QNS - Class in jline.solvers.wrappers.qns
-
QNS is an alias for SolverQNS (Queueing Network Solver).
- QNS - Enum constant in enum jline.lang.constant.SolverType
- QNS(Network) - Constructor for class jline.solvers.wrappers.qns.QNS
- QNS(Network, Object...) - Constructor for class jline.solvers.wrappers.qns.QNS
- QNS(Network, String) - Constructor for class jline.solvers.wrappers.qns.QNS
- QNS(Network, SolverOptions) - Constructor for class jline.solvers.wrappers.qns.QNS
- QNSamples - Variable in class jline.solvers.ldes.LDESResult
-
Number of samples (observations) used for queue length estimation [stations x classes]
- QNSResult - Class in jline.solvers.wrappers.qns
-
QNSResult class stores the results from the QNS solver.
- QNSResult() - Constructor for class jline.solvers.wrappers.qns.QNSResult
-
Default constructor
- QNSResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, double, String, int) - Constructor for class jline.solvers.wrappers.qns.QNSResult
-
Constructor with all parameters
- 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.ln.LNTranAvgResult
-
Transient queue lengths, block-diagonal [rows][cols]; each cell Tmax x 1 or null.
- QNt - Variable in class jline.solvers.SolverResult
-
Transient queue lengths [time_points][stations x classes].
- 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
- 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.
- qSize - Variable in class jline.api.rl.RlTdAgent
- 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_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) - 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 - 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_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_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_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_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_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_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_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_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_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_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_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_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_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.
- 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
- 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
- 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, String) - Constructor for class jline.api.qsys.QsysRetrialResult
- 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
- 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, - Class in jline.lib.smcC, D> -
Helper class for returning four values.
- Quadruple(A, B, C, D) - Constructor for class jline.lib.smc.Quadruple
- quantum - Variable in class jline.lang.layered.Host
- quartiles - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
- 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.PermCheckResult - Class in jline.lang.nodes
-
Result of
Queue.checkPermInvariance(double[], double). - 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.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.
- 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.
- 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
- 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.NetworkMomentResult
-
Mq x R queue-length variance, Var[n(i,r)].
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.lang.sections.CSFunInput
-
Row index (source class)
- 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.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.pfqn.mva.Pfqn_momlin.MomlinResult
- R - Variable in class jline.api.retrieval.Cache_retrieval_inputs.Inputs
- 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.mam.handlers.MAPBMAP1Result
- R - Variable in class jline.solvers.mam.handlers.RCATModel
- 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.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() - 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 random samples from a Rational Arrival Process (RAP) distribution.
- Rap_sample - Class in jline.api.mam
-
Rational Arrival Process (RAP) sampling.
- 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
- rate - Variable in class jline.lib.m3a.M3A.ErlangParameters
- rate() - Method in class jline.lang.processes.Coxian
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.Det
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.Distribution
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.Erlang
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.Exp
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.Gamma
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.HyperExp
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.Lognormal
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.Pareto
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.PH
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.Uniform
-
Kotlin-style property alias for getRate()
- rate() - Method in class jline.lang.processes.Weibull
-
Kotlin-style property alias for getRate()
- rateBaseReduced - Variable in class jline.solvers.fluid.handlers.ImmediateElimination.EliminationResult
- rateCost(Map<Station, Double>, List<Constraint>) - Static method in class jline.opt.objectives.MinimizeCost
-
Rate-cost-only convenience constructor.
- 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
- RateSchedule(double[], double[], boolean) - Constructor for class jline.lang.processes.NHPP.RateSchedule
- 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]
- RCATModel - Class in jline.solvers.mam.handlers
-
RCAT (Reversed Compound Agent Theorem) model representation.
- RCATModel(Matrix[][], Matrix, Matrix, List<ActionInfo>, int[]) - Constructor for class jline.solvers.mam.handlers.RCATModel
- rcatRes - Variable in class jline.solvers.mam.handlers.INAPResult
- 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
- reasoning - Variable in class jline.api.wf.Wf_auto_integration.ExtendedSolverRecommendation
- 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.
- 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
- 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.
- 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
- 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.
- 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
- 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. - 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
- reftasks - Variable in class jline.lang.layered.LayeredNetwork
- 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
- regionmaxmem - Variable in class jline.lang.NetworkStruct
- regionrule - Variable in class jline.lang.NetworkStruct
- RegionStruct - Class in jline.lang
-
Data structure representing a finite capacity region with all its constraints and properties.
- RegionStruct() - Constructor for class jline.lang.RegionStruct
- regionsz - Variable in class jline.lang.NetworkStruct
- regionweight - Variable in class jline.lang.NetworkStruct
- 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
- 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.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
- 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.
- relT() - Method in class jline.lang.Environment
-
Short alias for getReliabilityTable.
- relTable() - Method in class jline.lang.Environment
-
Short alias for getReliabilityTable.
- 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.mam.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(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_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_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.
- 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.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
- replications - Variable in class jline.solvers.ldes.LDESOptions
-
Number of independent replications to run.
- 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
- replygraph - Variable in class jline.lang.layered.LayeredNetworkStruct
- REPLY Signal Semantics: - Search tag in class jline.io.LQN2QN
- Section
- repmat(int, int) - Method in class jline.util.matrix.Matrix
-
Repeats the matrix to match the specified row and column replication.
- res - Variable in class jline.api.da.Da_cacheqn_retrieval.Result
- res - Variable in class jline.solvers.mva.handlers.MVARunner
- ReServiceOnRejection - Enum constant in enum jline.lang.constant.DropStrategy
- reset() - Method in class jline.api.rl.RlEnv
- reset() - Method in class jline.api.rl.RlEnvGeneral
-
Resets the environment to its initial state.
- 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.MockHttpReceiver
-
Clears all received data.
- 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(RlEnv) - Method in class jline.api.rl.RlTdAgent
- reset(RlEnvGeneral) - Method in class jline.api.rl.RlTdAgentGeneral
- 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 theRoutingStrategy.DISABLEDdefault. - resetEnvRatesFun - Variable in class jline.lang.Environment
- resetHandles() - Method in class jline.lang.Network
- 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.NHPP
-
Restarts the
NHPP.sample(int, java.util.Random)clock at the start of the schedule. - 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.
- 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
- resolve(boolean, Station) - Method in class jline.lang.Signal
-
Resolves this Signal placeholder to OpenSignal or ClosedSignal.
- resolveClass(Network, JobClass) - Static method in class jline.opt.variables.DecisionVariable
- resolveClassSwitches() - Method in class jline.lang.RoutingMatrix
- 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.
- resolveNode(Network, Node) - Static method in class jline.opt.variables.DecisionVariable
- 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.
- 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].
- RespTSink - Enum constant in enum jline.lang.constant.MetricType
- resSCV - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.AcfitResult
- 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.da.Da_cacheqn_retrieval.Result
- Result() - Constructor for class jline.api.lqn.Lqn_boxbounds.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(double[][], double[][], double[]) - Constructor for class jline.api.pfqn.ld.Pfqn_oi_insvc.Result
- Result(double[], double[][]) - Constructor for class jline.api.pfqn.mva.Pfqn_mvaoi_marg.Result
- Result(double[], double[][], double[][], double[], double[][]) - Constructor for class jline.api.pfqn.mva.Pfqn_mvaoi.Result
- Result(double, double, double[][]) - Constructor for class jline.api.pfqn.nc.Pfqn_pas_is.Result
- Result(Matrix, Matrix, Matrix) - Constructor for class jline.api.pfqn.Pfqn_mwrbb.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
- results - Variable in class jline.solvers.EnsembleSolver
- results - Variable in class jline.solvers.ln.SolverLN.LNState
- 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.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.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.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.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.pfqnMom - Class in jline.io
-
Result type for the Method of Moments (MoM) exact algorithm.
- 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
-
Result type for normalizing constant computations in product-form queueing networks.
- Ret.pfqnNcComplex - Class in jline.io
-
Data structure for storing complex results from a normalizing constant calculation.
- 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.pfqnNcXQ - Class in jline.io
-
Data structure for storing results from a normalizing constant calculation involving throughputs and queue lengths.
- 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_oi_nc: normalizing constant G(N) of a closed order-independent (OI) + 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.pfqnQd - Class in jline.io
-
Data structure for storing results from the Queue-Dependent (QD) approximate MVA method.
- 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 - 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
- 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
- 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_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_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_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).
- 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
- RetrievalRoutingEntry(JobClass, JobClass, Node, Node, double) - Constructor for class jline.lang.nodes.Cache.RetrievalRoutingEntry
- 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
RewardFunctionthat 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.
- 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. - RFac - Variable in class jline.api.infer.InferLqnOptions
- rho - Variable in class jline.api.npfqn.Npfqn_traffic_idc
- 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.mam.handlers.INAPResult
- rightMatrixDivide(Matrix) - Method in class jline.util.matrix.Matrix
-
Performs right matrix division A / B = A * inv(B)
- 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
- RL - Enum constant in enum jline.lang.constant.RoutingStrategy
-
Reinforcement Learning - adaptive routing based on learned policies
- RlEnv - Class in jline.api.rl
-
RL environment for queueing network routing decisions.
- RlEnv(Network, int[], int[], int, double) - Constructor for class jline.api.rl.RlEnv
- RlEnvGeneral - Class in jline.api.rl
-
General RL environment for queueing network control decisions.
- RlEnvGeneral(Network, int[], int[], int, double) - Constructor for class jline.api.rl.RlEnvGeneral
- 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]
- rlNodesNeedAction - Variable in class jline.lang.NodeParam
-
Per-class list of node indices that consult the RL value function.
- rlStateSize - Variable in class jline.lang.NodeParam
-
Per-class state-size hint.
- RlTdAgent - Class in jline.api.rl
-
TD learning agent for queueing network routing decisions.
- RlTdAgent() - Constructor for class jline.api.rl.RlTdAgent
- RlTdAgent(double) - Constructor for class jline.api.rl.RlTdAgent
- RlTdAgent(double, double) - Constructor for class jline.api.rl.RlTdAgent
- RlTdAgent(double, double, double) - Constructor for class jline.api.rl.RlTdAgent
- RlTdAgentGeneral - Class in jline.api.rl
-
General TD learning agent for queueing network control.
- RlTdAgentGeneral() - Constructor for class jline.api.rl.RlTdAgentGeneral
- RlTdAgentGeneral(double) - Constructor for class jline.api.rl.RlTdAgentGeneral
- RlTdAgentGeneral(double, double) - Constructor for class jline.api.rl.RlTdAgentGeneral
- RlTdAgentGeneral(double, double, double) - Constructor for class jline.api.rl.RlTdAgentGeneral
- RlTdAgentGeneral.ApproximationResult - Class in jline.api.rl
- RlTdAgentGeneral.HashmapResult - Class in jline.api.rl
- rlValueFunction - Variable in class jline.lang.NodeParam
-
RL value function by job class.
- rlValueFunctionShape - Variable in class jline.lang.NodeParam
-
Per-class shape of the tabular RL value function table.
- 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.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.handlers.Ctmc_avg_from_pi.Result
- RN - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
- 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.SolverResult
-
Mean response times [stations x classes]
- RN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
- 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.
- roots(double[]) - Static method in class jline.util.Maths
- roots(Matrix) - Static method in class jline.util.Maths
- route_prob_updmap - Variable in class jline.solvers.ln.SolverLN
- 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
- 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
- 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.
- 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.uq.SolverUQ.PosteriorTable
- 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.
- 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
- 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
- rtnodes - Variable in class jline.lang.Network.routingMatrixReturn
- rtnodes - Variable in class jline.lang.NetworkStruct
- rtNodesByClass - Variable in class jline.lang.Network.routingMatrixReturn
- rtNodesByStation - Variable in class jline.lang.Network.routingMatrixReturn
- rtorig - Variable in class jline.lang.NetworkStruct
- RTp - Variable in class jline.lib.fjcodes.MainFJ.FJPercentileResult
- 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_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.solvers.auto.SolverAUTO
-
Override the main run method to ensure proper delegation
- 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.SolverLQNS
- runAnalyzer() - Method in class jline.solvers.wrappers.qns.analyzers.Solver_qns_analyzer
-
Run the QNS analyzer.
- runAnalyzer() - Method in class jline.solvers.wrappers.qns.SolverQNS
-
Run the analyzer for the QNS solver
- 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
-
Validates model compatibility and method support before analysis
- 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
- 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
- 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
- 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.TransientResult
- runtime - Variable in class jline.solvers.mva.SolverMVAOIAnalyzer.AnalysisResults
- 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
- 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.io.Ret.SVD
- s - Variable in class jline.lang.sections.CSFunInput
-
Column index (destination class)
- s - Variable in class jline.util.PopulationLattice.sprodResult
- 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.StochCompResult
- S - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
- 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
- safeMult(Matrix) - Method in class jline.util.matrix.Matrix
- sample() - Method in class jline.api.rl.RlEnv
- sample() - Method in class jline.api.rl.RlEnvGeneral
-
Samples the next event from the environment using the SSA solver.
- 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.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.MMPP2
- 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.qns.SolverQNS
- 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.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 a Sirio 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.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.MMPP2
- 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
nsuccessive 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.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.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.qns.SolverQNS
- 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
- SampleEvent - Class in jline.api.rl
-
Container for a sampled event from the RL environment.
- SampleEvent(double, int) - Constructor for class jline.api.rl.SampleEvent
- 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.
- 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
- sampleRealValue(double[]) - Method in class jline.gen.LayeredNetworkGenerator
-
Samples a real value from a given range
- sampleResult - Variable in class jline.api.rl.GeneralSampleEvent
- 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.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.qns.SolverQNS
- 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.qns.SolverQNS
- 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
Environmentmodel to a JSON file. - save(LayeredNetwork, String) - Static method in class jline.io.LineModelIO
-
Saves a
LayeredNetworkmodel to a JSON file. - save(Network, String) - Static method in class jline.io.LineModelIO
-
Saves a
Networkmodel to a JSON file. - save(Workflow, String) - Static method in class jline.io.LineModelIO
-
Saves a
Workflowmodel to a JSON file. - save(LDESResult, NetworkStruct, String) - Static method in class jline.io.LDESResultIO
-
Saves an
LDESResultand associatedNetworkStructto a JSON file. - save(LDESResult, NetworkStruct, String, boolean) - Static method in class jline.io.LDESResultIO
-
Saves an
LDESResultand associatedNetworkStructto 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.
- 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.
- 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.
- 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
- 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.
- 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.
- 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.lang.layered.LayeredNetworkStruct
- sched - Variable in class jline.lang.NetworkStruct
- sched - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
- 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
- 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
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.Det
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.Distribution
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.Erlang
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.Exp
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.Gamma
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.HyperExp
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.Lognormal
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.Pareto
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.PH
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.Uniform
-
Kotlin-style property alias for getSCV()
- scv() - Method in class jline.lang.processes.Weibull
-
Kotlin-style 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
- 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_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
- SecondOrderLevelDependentFluidSolve - Class in jline.lib.butools.mam
- section - Variable in class jline.io.DocumentSectionPair
- 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
- Selection Criteria - Search tag in package jline.solvers.auto
- Section
- selectionMethod - Variable in class jline.solvers.auto.AUTOptions
-
Method for solver selection: - "default" or "heur": Heuristic-based selection - "ai": AI-based selection using trained classifier - "nn": Neural network-based 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).
- selfloop() - Static method in class jline.examples.java.advanced.PassAndSwapExample
-
Self-loop swapping-graph model solved by CTMC.
- 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.
- sensitivities - Variable in class jline.opt.results.EvaluationResult
-
Analytic sensitivities when product-form; null otherwise.
- 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
- SensitivityTable - Class in jline.opt.sensitivity
-
Analytic performance sensitivities for a product-form model, mirroring native-Python
compute_model_sensitivities. - 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
- 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.
- 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.
- 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).
- 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, 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.
- 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
- 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.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, Matrix) - Method in class jline.lang.RoutingMatrix
- 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.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
- 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
- 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.
- 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
- 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).
- 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
-
Stores computed average metrics at steady-state in the solver result.
- 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
- 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
- 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.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.NetworkAvgCacheTable
- setClassNames(List<String>) - Method in class jline.solvers.NetworkAvgNodeTable
- setClassNames(List<String>) - Method in class jline.solvers.NetworkAvgTable
-
Sets the list of job class names.
- 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.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
- 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.
- 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.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.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.
- 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.
- 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
- setFdStep(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
- setFiringWeights(Mode, double) - Method in class jline.lang.nodes.Transition
- setFirst(A) - Method in class jline.util.Triple
- 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
- setFormat(LQN2UML.Format) - Method in class jline.io.LQN2UML.Options
- setGamma(double) - Method in class jline.api.qsys.RetrialInfo
- 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
- 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
- setItemLevelCap(int) - Method in class jline.lang.layered.CacheTask
- setItemLevelCap(int[]) - Method in class jline.lang.layered.CacheTask
- setItemRoutingProb(JobClass, int, Node, Node, double) - Method in class jline.lang.nodes.Cache
- 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.
- 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
- setKChoices(int) - Method in class jline.gen.Cluster
-
Configures power-of-K-choices dispatching: pick the best of
krandomly chosen servers. - setKChoices(int, boolean) - Method in class jline.gen.Cluster
-
Configures power-of-K-choices dispatching with the given memory flag.
- setKchoicesK(int) - Method in class jline.lang.OutputStrategy
- setKchoicesParams(JobClass, int, boolean) - Method in class jline.lang.sections.OutputSection
-
Stores KCHOICES routing parameters (k and memory flag) for the given class.
- setKChoicesRouting(JobClass, int, boolean) - Method in class jline.lang.nodes.Node
-
Configures power-of-K-choices routing for a job class.
- setKchoicesWithMemory(boolean) - Method in class jline.lang.OutputStrategy
- setLang() - Method in class jline.solvers.NetworkSolver
-
Sets the language for solver execution.
- 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
-
Sets the limited class-dependent scaling function for this station.
- 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).
- 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.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
- 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(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.
- 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
- 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.Markovian
-
Sets the mean of this Markovian distribution by scaling the process.
- 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.
- setMinProbToShow(double) - Method in class jline.io.tikz.TikZOptions
- setMissClass(JobClass, JobClass) - Method in class jline.lang.nodes.Cache
-
Sets the output class for jobs that experience a cache miss.
- 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.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.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
- 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.
- 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.NetworkAvgSysTable
- setOptions(SolverOptions) - Method in class jline.solvers.NetworkAvgTable
-
Sets the solver options for this table.
- setOptions(SolverOptions) - Method in class jline.solvers.Solver
-
Sets new solver options.
- 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
- 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.
- 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.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
- setResponseTime(String, String, double) - Method in class jline.opt.results.EvaluationResult
- setResultDelayedHitProb(Matrix) - Method in class jline.lang.nodes.Cache
-
Sets the delayed-hit fraction per class (retrieval system).
- setResultHitProb(Matrix) - Method in class jline.lang.nodes.Cache
-
Sets the actual hit probabilities from simulation or analysis results.
- 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..
- 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
-
Initializes the retrieval system when a job of class jobinClass arrives at the cache node.
- 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
- setRlParams(Matrix, int[], int[], int) - Method in class jline.lang.OutputStrategy
-
Stores the RL routing parameters on this strategy.
- setRLParams(JobClass, Matrix, int[], int[], int) - Method in class jline.lang.sections.OutputSection
-
Stores RL routing parameters for the given class, replacing any existing entries for it with a single RL entry.
- setRLRouting(JobClass, Matrix, int[], int[], int) - Method in class jline.lang.nodes.Node
-
Configures reinforcement-learning routing for a job class.
- setRouting(JobClass, RoutingStrategy) - Method in class jline.lang.nodes.Node
-
Sets the routing strategy for a specific job class.
- 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
- 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.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.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.
- 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
- 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
- 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
- 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[][], 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.NetworkAvgChainTable
- setStationNames(List<String>) - Method in class jline.solvers.NetworkAvgTable
-
Sets the list of station names.
- 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.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).
- 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.FjCodesUtilsKt
-
Copy
sourceintotargetstarting 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
- 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.
- 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.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.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
- 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.
- 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() - Method in class jline.unified.UnifiedTestSuite
- setup(RealMatrix, int[], double[], int) - Static method in class jline.lib.mom.solver.SetupLinearSystem
-
Setup linear system matrices for a given class r.
- SetupLinearSystem - Class in jline.lib.mom.solver
-
Constructs the linear system matrices for the MOM solver.
- 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
-
Setup time distributions for function tasks (cold start 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.
- 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
- 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.
- shape - Variable in class jline.io.Ret.pfqnOifnc
- 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.
- 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.
- 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
- 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.
- 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.
- SILENT - Enum constant in enum jline.VerboseLevel
-
No output during solver execution
- 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
- SimpleExample - Class in jline.lib.mom
- 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
- 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
- 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
- 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
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.Det
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.Distribution
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.Erlang
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.Exp
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.Gamma
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.HyperExp
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.Lognormal
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.Pareto
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.PH
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.Uniform
-
Kotlin-style property alias for getSkewness()
- skewness() - Method in class jline.lang.processes.Weibull
-
Kotlin-style property alias for getSkewness()
- skipped - Variable in class jline.unified.TestResults
- slot(int, int) - Static method in class jline.io.Ret.FJApprox
-
Slot key for serviceSrc / immediateSlots.
- 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
- 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.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_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
- 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.
- sncopy - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
- 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
- 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
- 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
- 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.
- 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
- 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
- snHasProductFormNotHetFCFS(NetworkStruct) - 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
- 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
- SnHasSrpt - Class in jline.api.sn
- snIsClosedModel(NetworkStruct) - Static method in class jline.api.sn.SnIsClosedModel
-
Checks if the network model is closed.
- SnIsClosedModel - Class in jline.api.sn
- snIsMixedModel(NetworkStruct) - Static method in class jline.api.sn.SnIsMixedModel
-
Checks if the network is a mixed model.
- SnIsMixedModel - Class in jline.api.sn
- 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.
- 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
- 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 - Class in jline.api.sn
- 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.
- 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
- 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
- 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 Class in jline.api.sn
-
Exception thrown when validation fails during NetworkStruct modification.
- SnValidationException(String) - Constructor for exception class jline.api.sn.SnValidationException
- SnValidationException(String, List<String>) - Constructor for exception class jline.api.sn.SnValidationException
- softmin(double, double, double) - Static method in class jline.util.Maths
-
Softmin function.
- Soi - Variable in class jline.api.pfqn.mva.Pfqn_mvaoi.Result
-
(K x R) per-class mean number of IN-SERVICE jobs at each OI station, i.e.
- sojAlpha - Variable in class jline.lib.qmam.MAPMAP1Result
- sojAlpha - Variable in class jline.lib.qmam.MMAPKPHK1Result
- 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.
- sojournTimes - Variable in class jline.io.Ret.ctmcSimulation
- solution - Variable in class jline.api.mam.QPResult
- Solution Methods - Search tag in package jline
- Section
- Solution Methods - Search tag in package jline.lib.kpctoolbox
- Section
- 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.wrappers.qns.handlers.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(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(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_qr_delay.QuadraticDelayParameters, int, int, int) - Static method in class jline.api.mapqn.Mapqn_bnd_qr_delay
- solve(Mapqn_bnd_qr_ld.QuadraticLDParameters, int, int, int) - Static method in class jline.api.mapqn.Mapqn_bnd_qr_ld
- solve(Mapqn_nlp_solver.ObjectiveFn, int, double[][], double[], double[][], double[], double[], double[], double[]) - Static method in class jline.api.mapqn.Mapqn_nlp_solver
- solve(Mapqn_nlp_solver.ObjectiveFn, int, double[][], double[], double[][], double[], double[], double[], double[], int, int) - Static method in class jline.api.mapqn.Mapqn_nlp_solver
-
Solve a linearly-constrained NLP problem using Augmented Lagrangian + BOBYQA.
- 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(RlEnv) - Method in class jline.api.rl.RlTdAgent
- solve(RlEnvGeneral, int) - Method in class jline.api.rl.RlTdAgentGeneral
- 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, Matrix) - Static method in class jline.util.matrix.Matrix
-
Solves the sparse linear system Ax = b.
- 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(RealMatrix, int[], double[]) - Method in class jline.lib.mom.solver.LinearSolver
- solve(RealMatrix, int[], double[]) - Method in class jline.lib.mom.solver.MomSolver
- solveByHashmap(RlEnvGeneral, int) - Method in class jline.api.rl.RlTdAgentGeneral
- solveByLinear(RlEnvGeneral, int) - Method in class jline.api.rl.RlTdAgentGeneral
- solveByQuad(RlEnvGeneral, int) - Method in class jline.api.rl.RlTdAgentGeneral
- 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.
- solveForFixedPolicy(RlEnvGeneral, int) - Method in class jline.api.rl.RlTdAgentGeneral
- solveHierarchical() - Method in class jline.opt.decomposition.DecompositionWorkflow
- solver - Variable in class jline.api.infer.InferLqnOptions
-
Observation-model solver; when null a silent SolverLN is used.
- 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_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, double, double, Matrix, List<Integer>, List<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>>, List<SchedStrategy>, List<Station>, SolverOptions) - Static method in class jline.solvers.mva.handlers.Solver_amvald
- 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 plus the per-action rate filters.
- 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_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_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_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_ag(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mam_ag
- Solver_mam_ag - Class in jline.solvers.mam.handlers
-
RCAT-based solver for SolverMAM.
- 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_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_build_ag(NetworkStruct, int) - Static method in class jline.solvers.mam.handlers.Solver_mam_build_ag
- Solver_mam_build_ag - Class in jline.solvers.mam.handlers
- 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_inap(RCATModel) - Static method in class jline.solvers.mam.handlers.Solver_mam_inap
- solver_mam_inap(RCATModel, double, int) - Static method in class jline.solvers.mam.handlers.Solver_mam_inap
- solver_mam_inap(RCATModel, double, int, int) - Static method in class jline.solvers.mam.handlers.Solver_mam_inap
- solver_mam_inap(RCATModel, double, int, int, String) - Static method in class jline.solvers.mam.handlers.Solver_mam_inap
- Solver_mam_inap - Class in jline.solvers.mam.handlers
- solver_mam_inapinf(RCATModel, boolean[], double, int) - Static method in class jline.solvers.mam.handlers.Solver_mam_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_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 closed queueing networks using 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
ldstruct) 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 exposure, flattening and metric mapping for the SolverENV state-vector analyzer's MAM backend.
- 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
snis a single-class single-server open MAP/MAP/1 queue with a correlated (non-renewal) arrival or service; otherwise returnsnullso the caller falls back to decomposition. - Solver_mam_mapmap1_exact - Class in jline.solvers.mam.analyzers
- solver_mam_metrics(NetworkStruct, INAPResult, RCATModel) - Static method in class jline.solvers.mam.handlers.Solver_mam_metrics
- Solver_mam_metrics - Class in jline.solvers.mam.handlers
- 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_mna(NetworkStruct, SolverOptions) - Static method in class jline.solvers.mam.handlers.Solver_mna
- Solver_mna - Class in jline.solvers.mam.handlers
- 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_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_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_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_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_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_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_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
DoublelG(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 (Pinvalid input: '&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_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.qns.handlers
-
Core handler for the QNS solver.
- Solver_qns(NetworkStruct, SolverOptions) - Constructor for class jline.solvers.wrappers.qns.handlers.Solver_qns
- Solver_qns_analyzer - Class in jline.solvers.wrappers.qns.analyzers
-
Analyzer for the QNS solver.
- Solver_qns_analyzer(SolverQNS) - Constructor for class jline.solvers.wrappers.qns.analyzers.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_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>, int, Map<Integer, Matrix>, 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
- Solver_ssa_nrm_space.SolverSSAResultNRMSpace - Class in jline.solvers.ssa.handlers
- solver_ssa_reachability(NetworkStruct, SolverOptions) - Static method in class jline.solvers.ssa.handlers.Solver_ssa_reachability
- Solver_ssa_reachability - Class in jline.solvers.ssa.handlers
-
Kotlin migration of solver_ssa_reachability.m Computes the reachable state space for SSA analysis
- 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.
- 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
- 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.
- 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.AnalyzerResult - Class in jline.solvers.ctmc
- SolverCTMC.CtmcSsgResult - Class in jline.solvers.ctmc
- SolverCTMC.EventInfo - Class in jline.solvers.ctmc
- SolverCTMC.generatorResult - Class in jline.solvers.ctmc
- SolverCTMC.SampleResult - Class in jline.solvers.ctmc
- SolverCTMC.SampleSysResult - Class in jline.solvers.ctmc
- 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
- 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.
- 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
- 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
- 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, SolverOptions) - Constructor for class jline.solvers.ln.SolverLN
- SolverLN.LNState - Class in jline.solvers.ln
-
State class for exporting/importing SolverLN solution state.
- SolverLN.recurActGraphReturnType - Class in jline.solvers.ln
- SolverLQNS - Class in jline.solvers.wrappers.lqns
-
Solver interface to the LQNS external tool for Layered Queueing Network analysis.
- SolverLQNS(LayeredNetwork) - Constructor for class jline.solvers.wrappers.lqns.SolverLQNS
- SolverLQNS(LayeredNetwork, 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
- 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.
- SolverQNS - Class in jline.solvers.wrappers.qns
-
SolverQNS class implements a queueing network solver that wraps the external qnsolver tool.
- SolverQNS(Network) - Constructor for class jline.solvers.wrappers.qns.SolverQNS
-
Default constructor with network model
- SolverQNS(Network, Object...) - Constructor for class jline.solvers.wrappers.qns.SolverQNS
-
Constructor with network model and variable arguments
- SolverQNS(Network, String) - Constructor for class jline.solvers.wrappers.qns.SolverQNS
-
Constructor with network model and method string
- SolverQNS(Network, SolverOptions) - Constructor for class jline.solvers.wrappers.qns.SolverQNS
-
Constructor with network model and solver options
- 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 - 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.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(int[][]) - Static method in class jline.lib.mom.util.MomUtils
-
Sort combinations by number of non-zeros and their positions.
- 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 - 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.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
- 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
- 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.
- Specialized Algorithms - Search tag in package jline.util.matrix
- Section
- Specialized Models - Search tag in package jline.examples.java.advanced
- Section
- 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.
- spn_basic_closed() - Static method in class jline.examples.java.basic.StochPetriNetExamples
-
Basic closed stochastic Petri net (spn_basic_closed.ipynb).
- 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_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_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.StochPetriNetModel
-
Open stochastic Petri net with Pareto service time.
- 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.
- 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
- 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
- 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
- SRVNSolverFactory() - Constructor for class jline.bench.lqn.BenchLQN_SRVN.SRVNSolverFactory
- SS - Variable in class jline.lang.state.State.StateSpaceGeneratorResult
- 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>, 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 - Variable in class jline.io.Ret.npfqnNonexpApprox
- ST - Variable in class jline.lang.state.State.StateSpaceGeneratorResult
- ST - Variable in class jline.lib.fjcodes.FJService
- 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
- start() - Method in class jline.io.REPL
-
Start the REPL
- start() - Method in class jline.streaming.MockHttpReceiver
-
Starts the mock receiver.
- start() - Method in class jline.streaming.MockOtlpReceiver
-
Starts the mock receiver.
- starter(UnivariateFunction, double, double) - Static method in class jline.lib.lti.customromberg
- startLevel - Variable in class jline.io.tikz.SequenceDiagramTraverser.Fragment
- 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
- startTime - Variable in class jline.lang.nodeparam.LoggerNodeParam
-
Whether to log simulation start time as reference
- 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.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
- 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.exportStateHistogramis 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.
- 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
- 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.api.rl.RlEnv
- stateSize - Variable in class jline.api.rl.RlEnvGeneral
- 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
- 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
- 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). - station - Variable in class jline.lang.Metric
- 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.
- 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).
- stationIdx - Variable in class jline.lang.nodes.Node
- stationIndexMap - Variable in class jline.lang.Chain
- stationIndices - Variable in class jline.lang.RegionStruct
- 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
- 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
- statistics - Variable in class jline.api.wf.Wf_analyzer.WorkflowAnalysis
- status - Variable in class jline.unified.JsonResult
- 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
- stiff - Variable in class jline.solvers.SolverOptions
-
Use stiff ODE solvers for numerical integration
- 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
- stochCompComplement - Variable in class jline.api.fes.FESDeaggInfo
- 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 Kotlin 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.MockHttpReceiver
-
Stops the mock receiver gracefully.
- stop() - Method in class jline.streaming.MockOtlpReceiver
-
Stops the mock receiver gracefully.
- 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.opt.solver.LineOptSolverOptions
- 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
- Structured Markov Chains - Search tag in package jline.lib.kpctoolbox
- Section
- 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_kchoices(int, int, int, int, Matrix, Map<Node, Matrix>, Map<Node, Matrix>) - Method in class jline.lang.Network
-
Power-of-K choices marginal routing probability.
- sub_rl(int, int, int, int, Matrix, Map<Node, Matrix>, Map<Node, Matrix>) - Method in class jline.lang.Network
-
Reinforcement-learning routing marginal probability.
- sub_rr_wrr(int, int, int, int, Matrix, Map<Node, Matrix>, Map<Node, Matrix>) - Method in class jline.lang.Network
- 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
-
Kotlin-style property alias for getSubgenerator()
- subgenerator() - Method in class jline.lang.processes.PH
-
Kotlin-style property alias for getSubgenerator()
- subMAPs - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.ComposeResult
- subMAPs - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitResult
- Subpackages - Search tag in package jline.api
- Section
- Sub-packages - Search tag in package jline.api.pfqn
- Section
- Sub-packages - Search tag in package jline.examples
- Section
- 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
- success - Variable in class jline.api.mam.QPResult
- success - Variable in class jline.opt.solver.de.DifferentialEvolution.Result
- 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.layered.LayeredNetwork
-
Prints a summary of the layered network structure to standard output.
- summary() - Method in class jline.lang.Network
- 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
-
Kotlin-style property alias for getSupport()
- Supported Model Types - Search tag in package jline
- Section
- Supported Node Types: - Search tag in class jline.solvers.wrappers.jmt.handlers.SaveHandlers
- Section
- Supported Solvers - Search tag in package jline.solvers.auto
- Section
- 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.solvers.auto.SolverAUTO
- 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
- supports(Network) - Method in class jline.solvers.wrappers.qns.SolverQNS
-
Check if the solver supports the given model
- 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.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.nc.SolverNC
-
Method-aware gate.
- supportsModelMethod(String) - Method in class jline.solvers.Solver
-
Fine, method-aware gate.
- 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. - 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(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).
- 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
- 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
- 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
- syncInfo - Variable in class jline.solvers.ctmc.SolverCTMC.symbolicGeneratorResult
- syncreply - Variable in class jline.lang.NetworkStruct
- 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.qsys.QsysWorkloadResult
-
Grid at which F is reported.
- t - Variable in class jline.api.rl.SampleEvent
- 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.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.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.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.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.uq.SolverUQ.PosteriorTableRow
- T_1 - Variable in class jline.io.Ret.pfqnEstimate
- T_1 - Variable in class jline.io.Ret.pfqnLinearizerEstimate
- 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
-
Create a tagged version of a job chain for response time analysis
- TaggedChainResult(Network, JobClass) - Constructor for class jline.lang.ModelAdapter.TaggedChainResult
- talbot - Class in jline.lib.lti
- 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).
- 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]
- targetEntry - Variable in class jline.io.tikz.SequenceDiagramTraverser.Interaction
- 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
- taskLayerIndices - Variable in class jline.solvers.ln.SolverLN
- 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
- 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.
- temp_ensemble - Variable in class jline.solvers.ln.SolverLN
- terminatedBy - Variable in class jline.opt.results.OptimizationResult
- test_forkJoinCS_1() - Static method in class jline.examples.java.basic.ForkJoinModel
- testAllModels() - Method in class jline.unified.UnifiedTestSuite
-
Dynamic test factory that generates a test for each model definition.
- testDefinitionsMatchSchema() - Method in class jline.unified.UnifiedTestSuite
-
Test that definitions conform to schema structure.
- testDefinitionsValidJson() - Method in class jline.unified.UnifiedTestSuite
-
Test that all definition files are valid JSON.
- testRegistryCanBuildModels() - Method in class jline.unified.UnifiedTestSuite
-
Test that basic models can be built from the registry.
- testRegistryHasModels() - Method in class jline.unified.UnifiedTestSuite
-
Test that the ModelRegistry has models registered.
- 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
- tget(String) - Method in class jline.solvers.NetworkAvgNodeTable
- tget(String) - Method in class jline.solvers.NetworkAvgSysTable
- tget(String) - Method in class jline.solvers.NetworkAvgTable
- 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
- 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
- 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.
- TH - Variable in class jline.io.Ret.pfqnHarelBounds
-
Exact throughput values TH(n) for n=1,2,...,maxN (used to compute UB)
- 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.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
- throughput - Variable in class jline.api.qsys.Qsys_mmck.Result
-
Effective throughput, lambda*(1 - pK).
- throughput - Variable in class jline.solvers.mam.handlers.BMAPMAP1Result
-
Throughput (total customer arrival rate)
- throughput - Variable in class jline.solvers.mam.handlers.MAPBMAP1Result
- 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
- 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
- TIMED - Enum constant in enum jline.lang.constant.TimingStrategy
- 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.
- timeLimit - Variable in class jline.opt.solver.LineOptSolverOptions
- 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.
- times - Variable in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space.NrmSpaceResult
- 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
- 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)
- 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.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
- 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]
- 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.handlers.Ctmc_avg_from_pi.Result
- TN - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
- 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.SolverResult
-
Mean throughputs [stations x classes]
- TN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
- 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.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
- 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.
- toClass - Variable in class jline.io.Ret.ActionMapEntry
- toClass - Variable in class jline.lang.nodes.Cache.RetrievalRoutingEntry
- toClass - Variable in class jline.solvers.mam.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
DMatrixSparseCSCstructure. - toDMatrixSparseCSC(Matrix) - Method in class jline.util.matrix.Matrix
-
Converts a specified matrix to a copy of its underlying
DMatrixSparseCSCstructure. - toDouble() - Method in class jline.util.matrix.Matrix
-
Converts this matrix to a single
Doublevalue. - toDoubleList() - Method in class jline.util.matrix.Matrix
-
Converts the matrix to a nested list of
Doublevalues. - toDTMC() - Method in class jline.lang.processes.MarkovProcess
-
Convert to DTMC using uniformization
- toDTMC(double) - Method in class jline.lang.processes.MarkovProcess
- toFeature(ActivityPrecedenceType) - Static method in class jline.lang.constant.ActivityPrecedenceType
- 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(ActivityPrecedenceType) - Static method in class jline.lang.constant.ActivityPrecedenceType
- 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. - 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
JsonObjectrepresentation of aLayeredNetworkmodel. - toJsonObject(Network) - Static method in class jline.io.LineModelIO
-
Builds a
JsonObjectrepresentation of aNetworkmodel. - 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
- tolerance - Variable in class jline.bench.BenchmarkRegression.RegressionComparison
- toList1D() - Method in class jline.util.matrix.Matrix
-
Converts the matrix into a 1D
ListofDoublevalues 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.
- 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
- 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.workflow.Workflow
- 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.
- 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.mam.handlers.ActionInfo
- 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.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.mam.BmapSample
- toString() - Method in class jline.api.mam.QbdMapMap1Result
- toString() - Method in class jline.api.mam.QbdRapRap1Result
- 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.QsysMapDcResult
- toString() - Method in class jline.api.qsys.QsysMapPhResult
- toString() - Method in class jline.api.qsys.RetrialInfo
- toString() - Method in class jline.api.rl.GeneralSampleEvent
- toString() - Method in class jline.api.rl.SampleEvent
- 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.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.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.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.mom.solver.LinearSystemMatrices
- toString() - Method in class jline.lib.mom.solver.MomSolverResult
- toString() - Method in class jline.lib.ode.RKF45Result
- 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.ctmc.analyzers.RewardResult
- toString() - Method in class jline.solvers.mam.handlers.BMAPMAP1Result
- toString() - Method in class jline.solvers.mam.handlers.INAPResult
- 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.PrecomputedTableFunction
- toString() - Method in class jline.util.Triple
- 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(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.io.Ret.pfqnAMVA
- totiter - Variable in class jline.io.Ret.pfqnAMVAMS
- 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 - 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_acf(Matrix, int) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_bicov(Matrix, int[]) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- trace_bicov(Matrix, Matrix, int) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_gamma(Matrix, int) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_iat2bins(Matrix, int) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_iat2counts(Matrix, int) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_idc(Matrix, double) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_idi(Matrix, int) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_joint(Matrix, Matrix, Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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(Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_pmf(Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_scv(Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_shuffle(Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_skew(Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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_summary(Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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(Matrix) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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
- 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 - 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
- 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.
- 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.
- 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.
- 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
- 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
- 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
- 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, - Class in jline.utilC> -
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.
- 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.
- truncLevel - Variable in class jline.api.qsys.QsysRetrialResult
- 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
- 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.
- 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.
- 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.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.mam.Qbd_rg.QbdCrResult
- U - Variable in class jline.api.mam.Qbd_rg.QbdRgResult
- U - Variable in class jline.api.pfqn.mva.Pfqn_momlin.MomlinResult
- U - Variable in class jline.api.pfqn.mva.Pfqn_sqni.PfqnSqniResult
- 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.pfqnDAC
- 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.pfqnQd
- 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.uq.SolverUQ.PosteriorTableRow
- UB - Variable in class jline.io.Ret.pfqnHarelBounds
-
Upper bounds UB(n) for n=2,3,...,maxN
- 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]
- 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.handlers.Ctmc_avg_from_pi.Result
- UN - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
- 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.SolverResult
-
Mean server utilizations [stations x classes]
- UN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
- 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
- UnifiedTestSuite - Class in jline.unified
-
JUnit5 test suite for unified cross-language tests.
- UnifiedTestSuite() - Constructor for class jline.unified.UnifiedTestSuite
- 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
- 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.
- uniquePerms(Matrix) - Static method in class jline.util.Maths
- 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
- 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]
- 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.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[]) - Method in class jline.api.rl.RlEnv
- update(int, double) - Method in class jline.util.IndexedMinHeap
-
Update the priority of reaction k and restore heap order.
- update(Ret.SampleResult) - Method in class jline.api.rl.RlEnvGeneral
-
Updates the model state after an event using the SSA sample result.
- 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
- 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
- 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.
- 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
- 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
- Usage - Search tag in package jline.bench
- Section
- Usage - Search tag in package jline.examples.java
- Section
- Usage Example - Search tag in package jline.io.tikz
- Section
- Usage Example: - Search tag in class jline.solvers.wrappers.jmt.io.JMTIO
- Section
- Usage Patterns - Search tag in package jline.examples
- Section
- Ut - Variable in class jline.solvers.SolverAvgHandles
-
Transient utilization handles
- Ut - Variable in class jline.solvers.SolverTranHandles
- 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 - 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.qsys.Qsys_mmck.Result
-
Per-server utilization, lambdaEff/(c*mu).
- 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(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
- 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
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.rl.RlTdAgent
- v - Variable in class jline.api.rl.RlTdAgentGeneral
- v - Variable in class jline.io.Ret.pfqnLeFpiZ
- v - Variable in class jline.io.Ret.SVD
- V - Variable in class jline.io.Ret.snGetProductFormParams
- 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
- 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.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.
- 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
- value - Variable in class jline.lib.perm.PermSolver
- 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).
- 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.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.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.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.
- var() - Method in class jline.lang.processes.Coxian
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.Det
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.Distribution
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.Erlang
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.Exp
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.Gamma
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.HyperExp
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.Lognormal
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.Markovian
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.Pareto
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.PH
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.Uniform
-
Kotlin-style property alias for getVar()
- var() - Method in class jline.lang.processes.Weibull
-
Kotlin-style property alias for getVar()
- 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].
- 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() - Method in class jline.lang.processes.Markovian
-
Kotlin-style 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.
- varsparam - Variable in class jline.lang.NetworkStruct
- 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.FjCodesUtilsKt
-
Find the 1-based index of the row in
matrixthat matchesrowelementwise (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.
- vectors - Variable in class jline.io.Ret.Eigs
- verbose - Variable in class jline.api.infer.InferLqnOptions
- 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
- 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.fj.FJ_xmax.FJXmaxNormalResult
- vSize - Variable in class jline.api.rl.RlTdAgent
- vSize - Variable in class jline.api.rl.RlTdAgentGeneral
- 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.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]
- 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
- 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.
- 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.
- 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.
- 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.
- 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.lang.FJSync
- weight - Variable in class jline.lang.Graph.Edge
- weight - Variable in class jline.lang.ModeEvent
- 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 - Static variable in class jline.lib.lti.laguerre
- 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.
- width - Variable in class jline.lang.state.Polling.Info
-
Total width of the polling block.
- withCutoffs(Matrix) - Static method in class jline.api.fes.FESOptions
-
Create options with specified cutoffs.
- withMemory - Variable in class jline.lang.NodeParam
-
Memory-dependent parameters by job class - for state-dependent behavior
- 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.
- 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]
- 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
- 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
- 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
- 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
- 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.
- WVar - Variable in class jline.io.Ret.pfqnSensRespt
X
- x - Variable in class jline.api.da.Da_fpi.Result
- 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.mam.handlers.INAPResult
- X - Variable in class jline.api.pfqn.mva.Pfqn_momlin.MomlinResult
- X - Variable in class jline.api.pfqn.mva.Pfqn_mvaoi.Result
- X - Variable in class jline.api.pfqn.mva.Pfqn_sqni.PfqnSqniResult
- 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.rl.RlTdAgentGeneral.ApproximationResult
- X - Variable in class jline.api.rl.RlTdAgentGeneral.HashmapResult
- 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.pfqnDAC
- X - Variable in class jline.io.Ret.pfqnMom
- 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.pfqnQd
- 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.lib.mom.solver.MomSolverResult
- 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.
- x0 - Variable in class jline.inference.lang.EstimatorOptions
- x0 - Variable in class jline.solvers.fluid.FluidODEsExporter.SymODEs
- 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.Pfqn_mwrbb.Result
-
(1 x C) lower bound on class throughput (Theorem 2).
- 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.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.pfqnSchmidt
-
System throughput vector (1 x R)
- 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.SolverResult
-
Mean system throughputs [1 x chains]
- XN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
- 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
- XSI_NO_NAMESPACE_SCHEMA_LOCATION - Static variable in class jline.solvers.wrappers.jmt.SolverJMT
- 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.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
Y
- 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.api.rl.RlTdAgentGeneral.ApproximationResult
- Y - Variable in class jline.api.rl.RlTdAgentGeneral.HashmapResult
- 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
- 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 - Static variable in class jline.GlobalConstants
-
Threshold below which values are considered zero (1e-14)
- zeros(int, int) - Static method in class jline.lib.kpctoolbox.basic.BasicUtils
-
Creates a zero matrix.
- zeros(int, int) - Static method in class jline.lib.kpctoolbox.Kpctoolbox
- 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.
- 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
- ZM - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
- zpred - Variable in class jline.api.infer.InferLqnResult
- ZZ - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
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Environmentinstead.