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.posterior.SolverPosterior.PosteriorTableRow
- A - Variable in class jline.solvers.SolverAvgHandles
-
Arrival rate handles [stations x classes]
- 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.mam.Qbd_bmapbmap1.QbdBmapResult
- 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
- 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
- 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.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
- 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
- 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
- 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(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(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, 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, 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, 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, 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, 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, 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
- addSamples(SampledMetric) - Method in class jline.inference.lang.ParamEstimator
- addServerType(ServerType) - Method in class jline.lang.nodes.Queue
-
Adds a server type to this queue for heterogeneous multiserver configuration.
- addStage(int, String, String, Network) - 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.
- 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.PrecomputedCDFunction
-
Adds a pre-computed value for a specific state given as an array.
- addValue(Matrix, double) - Method in class jline.util.PrecomputedCDFunction
-
Adds a pre-computed value for a specific state.
- addVariable(String) - Method in class jline.api.mapqn.Mapqn_lpmodel
-
Register a variable and return its index
- 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
- AfterEventCache - Class in jline.lang.state
- AfterEventCache() - Constructor for class jline.lang.state.AfterEventCache
- 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
- 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
- AfterEventTransition - Class in jline.lang.state
- AfterEventTransition() - Constructor for class jline.lang.state.AfterEventTransition
- 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) - 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
-
Transform a multi-class model into an equivalent chain-aggregated model This function transforms a queueing network model with multiple classes into a stochastically equivalent model where each chain becomes a single class.
- 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.posterior.SolverPosterior
- 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.posterior.SolverPosterior
-
Aggregates results from all alternatives using prior weights.
- 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.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
- ALT - Enum constant in enum jline.io.tikz.SequenceDiagramTraverser.Fragment.FragmentType
- alternativeIdx - Variable in class jline.solvers.posterior.SolverPosterior.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]
- 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.posterior.SolverPosterior
- 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
- 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
- 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(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 function to the given state.
- 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
- 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
- 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
- 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
- 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
- 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.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
- 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
- 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
- BASBlockingDebugTest - Class in jline.examples.java.advanced
-
Debug test for BAS blocking in closed queueing networks.
- BASBlockingDebugTest() - Constructor for class jline.examples.java.advanced.BASBlockingDebugTest
- 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
- 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.
- 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
- 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
- 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().
- 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
- 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
- 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
- BranchPattern(List<Integer>, List<Double>, Integer, Integer) - Constructor for class jline.api.wf.Wf_branch_detector.BranchPattern
- 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
- Buffer - Class in jline.lang.sections
-
Input buffer of a station
- Buffer(List<JobClass>) - Constructor for class jline.lang.sections.Buffer
- build() - Method in class jline.gen.Cluster
-
Builds the
Networkmodel from the current configuration. - 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.
- buildLayers() - Method in class jline.solvers.ln.SolverLN
- buildLayersRecursive(int, List<Integer>, boolean) - Method in class jline.solvers.ln.SolverLN
- 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.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
- 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_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_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
-
Computes the characteristic time of each list in the TTL approximation of h-LRU.
- Cache_t_hlru - Class in jline.api.cache
- cache_t_hlru_aux(double[], Matrix, Matrix, int, int) - Static method in class jline.api.cache.Cache_t_hlru
-
Auxiliary function for cache_t_hlru inner optimization.
- cache_t_lrum(Matrix, Matrix) - Static method in class jline.api.cache.Cache_t_lrum
-
Computes the characteristic time of each list in the TTL approximation of LRU(m).
- Cache_t_lrum - Class in jline.api.cache
- cache_t_lrum_aux(double[], Matrix, Matrix, int, int) - Static method in class jline.api.cache.Cache_t_lrum
-
Auxiliary function for cache_t_lrum inner optimization.
- 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
-
Solve hierarchical least-recently-used caches h-LRU using the TTL approximation.
- 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 arbitrary replacement policy caches LRU(A) using the TTL tree approximation.
- Cache_ttl_lrua - Class in jline.api.cache
- cache_ttl_lrum(Matrix[], Matrix) - Static method in class jline.api.cache.Cache_ttl_lrum
-
Solve multi-list least-recently-used caches LRU(m) using the TTL approximation.
- Cache_ttl_lrum - Class in jline.api.cache
- cache_ttl_lrum_map(MatrixCell[], MatrixCell[], Matrix) - Static method in class jline.api.cache.Cache_ttl_lrum_map
- Cache_ttl_lrum_map - Class in jline.api.cache
- 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.
- 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.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
- 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.
- cacheIs(double, double) - Constructor for class jline.io.Ret.cacheIs
-
Constructor for initializing the cacheIs object.
- 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
- 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
- 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.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.
- 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.
- 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
- cacheTN - Variable in class jline.solvers.jmt.JMTResult
-
Cache node throughputs [nnodes x nclasses].
- 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
- 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
- cdf - Variable in class jline.solvers.posterior.SolverPosterior.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
- cdscaling - 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.
- 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
- 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
- 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
- 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).
- 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.posterior.SolverPosterior.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
- classprio - Variable in class jline.lang.NetworkStruct
- 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
- clearBackgroundImage(VisualizationViewer<?, ?>) - Static method in class jline.io.ModelVisualizer
-
Clears the background image from the visualization viewer.
- clearCaches() - Method in class jline.lang.Network
- 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
- clo - Variable in class jline.lib.butools.mam.FluidSolve.FluidSolution
- 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
- ClosingAndStateDepMethodsODE - Class in jline.solvers.fluid.handlers
- ClosingAndStateDepMethodsODE(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.ClosingAndStateDepMethodsODE
- ClosingAndStateDepMethodsODE(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.ClosingAndStateDepMethodsODE
- 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.
- CMAESObjectiveFunction - Class in jline.solvers.fluid.handlers
- CMAESObjectiveFunction(Matrix, Network, boolean) - Constructor for class jline.solvers.fluid.handlers.CMAESObjectiveFunction
- 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.SolverCTMC.AnalyzerResult
- CN - Variable in class jline.solvers.mam.handlers.MetricsResult
- CN - Variable in class jline.solvers.SolverResult
-
Mean system response times [1 x chains]
- CN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
- 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
- coefficients - Variable in class jline.api.rl.RlTdAgentGeneral.ApproximationResult
- coeffnplus1 - Static variable in class jline.lib.lti.laguerre
- 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
- 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
- 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(Matrix, NetworkStruct) - Method in interface jline.lang.reward.RewardFunction
-
Compute the reward value for a given state.
- 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.
- computeDerivatives(double, double[], double[]) - Method in class jline.solvers.fluid.handlers.ClosingAndStateDepMethodsODE
- 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
- 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
- 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
- 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
- constraintBuilder() - Method in class jline.api.mapqn.Mapqn_lpmodel
-
Create a linear constraint builder
- constraintBuilder(int) - Method in class jline.api.mapqn.Mapqn_lpmodel
- ConstraintSet(List<double[]>, List<Double>, List<double[]>, List<Double>) - Constructor for class jline.api.mapqn.Mapqn_qrf_noblo_mmi.ConstraintSet
- 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.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.posterior.SolverPosterior
- convergenceBatches - Variable in class jline.solvers.ldes.LDESResult
-
Number of batches used for final confidence interval estimation
- 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.
- 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
- 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.posterior.SolverPosterior.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.
- 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 - 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_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_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_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 - 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
- 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
- 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.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
- 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_iter - Variable in class jline.solvers.SolverOptions.Config
-
Number of iterations for iterative decomposition/aggregation methods (kms, takahashi).
- dag - Variable in class jline.lang.layered.LayeredNetworkStruct
- data - Variable in class jline.inference.lang.SampledMetric
- data - Variable in class jline.lang.processes.EmpiricalCDF
- Dchain - Variable in class jline.io.Ret.snGetDemands
- 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
- Decision Algorithms - Search tag in package jline.solvers.auto
- Section
- decorate(Matrix, Matrix) - Static method in class jline.util.matrix.Matrix
- 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.posterior.SolverPosterior
-
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_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.jmt.SolverJMT
- 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.lqns.SolverLQNS
-
Returns the default solver options for the LQNS solver.
- 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.posterior.SolverPosterior
-
Returns default solver options.
- defaultOptions() - Static method in class jline.solvers.qns.SolverQNS
-
Get the default options for the QNS solver
- 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.
- 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
- delayofftime - Variable in class jline.lang.layered.LayeredNetworkStruct
-
Deprecated.
- 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
- 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(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.
- DEP - Enum constant in enum jline.lang.constant.EventType
- 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
- 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.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.posterior.SolverPosterior
-
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.
- diag(double...) - Static method in class jline.util.matrix.Matrix
-
Creates a square diagonal matrix from the given values.
- 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
- 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(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.
- 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
- 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
- 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
- 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).
- 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
- 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
E
- 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.pfqnMVALDMXEC
- 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
- EC - Variable in class jline.io.Ret.pfqnMVALDMXEC
- 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)
- 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
- 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.posterior.SolverPosterior.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, 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.ResetEnvRatesFunction - Interface in jline.lang
- Environment.ResetQueueLengthsFunction - Interface in jline.lang
- EnvOptions - Class in jline.solvers.env
- EnvOptions() - Constructor for class jline.solvers.env.EnvOptions
- Eprime - Variable in class jline.io.Ret.pfqnMVALDMXEC
- 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
- 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.
- equilibrium - Variable in class jline.solvers.mam.MAMResult
- equilibriumDistribution - Variable in class jline.lib.kpctoolbox.mc.CTMC.CTMCSolveResult
- 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.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
- 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.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.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.posterior.SolverPosterior.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.
- 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.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.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.Geometric
- 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, 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
- 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.
- 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
- 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
- EventFiltration - Variable in class jline.solvers.ctmc.SolverCTMC.AnalyzerResult
- EventFiltration - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
- EventHandleResult(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.jmt.SolverJMT.EventInfo
- eventList - Variable in class jline.lang.processes.MarkedMarkovProcess
- EventResult(Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.EventResult
- EventType - Enum in jline.lang.constant
-
Constants for specifying events
- 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.
- 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
- 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.
- 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.
- 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.
- 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.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.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.
- 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
- 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
- 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
- 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
- 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
- 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.ReplacementStrategy
- FILE_FORMAT - Static variable in class jline.solvers.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
- 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
- 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>, FindMarkovianRepresentation.TransFun, FindMarkovianRepresentation.EvalFun, double) - Static method in class jline.lib.butools.reptrans.FindMarkovianRepresentation
-
Overload accepting Java functional-interface flavors of the arguments.
- findMarkovianRepresentation(List<Matrix>, Function2<List<Matrix>, Matrix, List<Matrix>>, Function2<List<Matrix>, Integer, Double>) - Static method in class jline.lib.butools.reptrans.FindMarkovianRepresentation
- findMarkovianRepresentation(List<Matrix>, Function2<List<Matrix>, Matrix, List<Matrix>>, Function2<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 - 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
- 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
- findPStarValues(Network, Matrix) - Method in class jline.solvers.fluid.handlers.PStarSearcher
- 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.posterior.SolverPosterior
- 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.
- 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
- FJBoundsResult(double, double) - Constructor for class jline.api.fj.FJ_bounds.FJBoundsResult
- fjclassmap - Variable in class jline.io.Ret.FJApprox
- FjCodesUtilsKt - Class in jline.lib.fjcodes
-
FJ_codes utility helpers translated from FJUtils.kt's top-level functions.
- FJConvert - Class in jline.api.fj
- 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
- FJPercentileResult(int, double[], double[]) - Constructor for class jline.lib.fjcodes.MainFJ.FJPercentileResult
- FJQLen - Enum constant in enum jline.lang.constant.MetricType
- 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
- FJsortForks(Matrix, Matrix) - Constructor for class jline.io.Ret.FJsortForks
- FJStateSpace - Class in jline.lib.fjcodes
- FJUtils - Class in jline.lib.fjcodes
- 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
- 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
- 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
- FluidFundamentalMatrices - Class in jline.lib.butools
- FluidFundamentalMatrices(Matrix, Matrix, Matrix, Matrix, Double, Integer, String) - Static method in class jline.lib.butools.FluidFundamentalMatrices
- FluidOptions - Class in jline.solvers.fluid
- FluidOptions() - Constructor for class jline.solvers.fluid.FluidOptions
- 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
- 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
- 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).
- 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 - 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
- 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
- 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
- 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
- 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.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.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(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, 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, 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.
- FULL - Enum constant in enum jline.api.sn.ValidationLevel
-
Full validation of all constraints and consistency checks.
- 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.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.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.pfqnNcXQ
- G - Variable in class jline.io.Ret.pfqnProcomom2
- 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_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_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_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_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_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_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_parm1() - 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.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.
- GATED - Enum constant in enum jline.lang.constant.PollingType
- 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, 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
- 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
- generateTargetQueueLengths(Network) - Method in class jline.solvers.fluid.handlers.PStarSearcher
- generateTikZ() - Method in class jline.io.tikz.TikZExporter
-
Generates TikZ code for the network.
- generator - Variable in class jline.lib.kpctoolbox.mc.CTMC.CTMCSolveResult
- 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.NetworkAvgChainTable
- 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.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
- 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(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
- 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.
- 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.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.
- 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.lqns.SolverLQNS
- getAvg() - Method in class jline.solvers.NetworkSolver
-
Computes and returns average station metrics at steady-state.
- 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
- 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.
- 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.jmt.SolverJMT
-
Computes average performance metrics at steady-state for all nodes.
- getAvgNode() - Method in class jline.solvers.NetworkSolver
-
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(String) - Method in class jline.solvers.ctmc.SolverCTMC
-
Get steady-state expected reward for a specific reward.
- 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.lqns.SolverLQNS
- getAvgTable() - Method in class jline.solvers.NetworkSolver
-
Returns a table of average station metrics organized by job classes.
- getAvgTable() - Method in class jline.solvers.posterior.SolverPosterior
-
Returns the prior-weighted average results.
- 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
- 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
- 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
- getC() - Method in class jline.lib.m3a.MTrace
- getC() - Method in class jline.lib.mom.solver.LinearSystemMatrices
- 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.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.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.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.qns.SolverQNS
- getCdfRespT() - Method in class jline.solvers.auto.SolverAUTO
- getCdfRespT() - Method in class jline.solvers.fluid.SolverFluid
- getCdfRespT() - Method in class jline.solvers.jmt.SolverJMT
- 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.qns.SolverQNS
- getCdfRespT(AvgHandle) - Method in class jline.solvers.jmt.SolverJMT
- 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.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
- 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.NetworkAvgNodeTable
- getClassNames() - Method in class jline.solvers.NetworkAvgTable
-
Returns the list of job class names.
- 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
-
Returns internal column index array from the sparse matrix structure.
- 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.
- 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
- getConstraintA() - Method in class jline.lang.Region
-
Gets the linear constraint matrix A.
- getConstraintB() - Method in class jline.lang.Region
-
Gets the linear constraint vector b.
- getConstraints() - Method in class jline.api.mapqn.Mapqn_lpmodel
-
Get all constraints
- getCorrelation() - Method in class jline.lang.processes.MultivariateNormal
-
Gets the correlation matrix from the covariance matrix.
- 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
- 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.
- 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
- getDemands() - Method in class jline.lang.Network
- getDemandsChain() - Method in class jline.lang.Network
- 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.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.solvers.fluid.handlers.ClosingAndStateDepMethodsODE
- 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
- getDr() - Method in class jline.lib.mom.solver.LinearSystemMatrices
- 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
- getEdgePaintTransformer() - Method in class jline.io.ModelVisualizer
-
Returns a transformer for edge colors.
- getEdgeStrokeTransformer() - Method in class jline.io.ModelVisualizer
-
Returns a transformer for edge strokes based on edge type.
- 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
- 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.lqns.SolverLQNS
- getEnsembleAvg() - Method in class jline.solvers.posterior.SolverPosterior
- 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
- 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
- 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
- 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
- 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.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.jmt.SolverJMT
- 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.lqns.SolverLQNS
-
Returns the feature set supported by the LQNS 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.qns.SolverQNS
-
Get the feature set supported by this solver
- getFeatureSet() - Static method in class jline.solvers.ssa.SolverSSA
-
Returns the feature set supported by the SSA 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.jmt.SolverJMT
- getFilePath() - Method in class jline.lang.nodes.Logger
- getFilePath() - Method in class jline.solvers.jmt.SolverJMT
- 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(). - 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.
- 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.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.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
- getHitRatio() - Method in class jline.lang.nodes.Cache
-
Gets the actual hit probability/ratio for each job class.
- 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
- 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.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
- getItemLevelCap() - Method in class jline.lang.layered.CacheTask
- getItemLevelCap() - Method in class jline.lang.nodes.Cache
-
Gets the capacity configuration for each cache level.
- 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.
- getIter() - Method in class jline.solvers.mam.handlers.INAPResult
- getJmtJarPath() - Method in class jline.solvers.jmt.SolverJMT
- getJMVATempPath() - Method in class jline.solvers.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.nodes.Logger
- getJobClass() - Method in class jline.lang.OutputStrategy
- getJobClass() - Method in class jline.lang.ServiceBinding
- getJobClasses() - Method in class jline.lang.Network
- getJobClasses() - Method in class jline.lang.sections.StatelessClassSwitcher
- 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.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
- getL() - Method in class jline.api.mam.QbdRapRap1Result
- 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.MeOqnResult
- 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
- getLifelineSpacing() - Method in class jline.io.tikz.SequenceDiagramOptions
- getLifelineX(Task) - Method in class jline.io.tikz.SequenceDiagramLayoutEngine
- getLimitedClassDependence() - Method in class jline.lang.Network
- getLimitedClassDependence() - Method in class jline.lang.nodes.Station
-
Gets the limited class-dependent scaling function for this station.
- getLimitedJointClassDependence() - Method in class jline.lang.Network
-
Gets the limited joint-class-dependent scaling tables and cutoffs for all stations.
- getLimitedJointClassDependence() - Method in class jline.lang.nodes.Station
-
Gets the limited joint-class-dependent scaling tables for this station.
- getLimitedJointClassDependenceCutoffs() - Method in class jline.lang.nodes.Station
-
Gets the per-class cutoffs for joint class dependence.
- getLimitedJointDependence() - Method in class jline.lang.Network
-
Gets the limited joint-dependent scaling tables and cutoffs for all stations.
- getLimitedJointDependence() - Method in class jline.lang.nodes.Station
-
Gets the limited joint-dependent scaling matrix for this station.
- getLimitedJointDependenceCutoffs() - Method in class jline.lang.nodes.Station
-
Gets the per-class cutoffs for joint dependence.
- 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.
- 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
- 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.
- 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
- 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.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.jmt.SolverJMT
- getMaxSimulatedTime() - Method in class jline.solvers.jmt.SolverJMT
- 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.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.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.posterior.SolverPosterior.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
- 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
- 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
- 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
- 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
- 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.Signal
-
Gets the network model this signal belongs to.
- getModel() - Method in class jline.solvers.jmt.io.JMTIO
- getModel() - Method in class jline.solvers.NetworkSolver
-
Returns the queueing network model being solved.
- 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
- 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.
- 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.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
- 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).
- 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.NetworkAvgNodeChainTable
- getNodeNames() - Method in class jline.solvers.NetworkAvgNodeTable
- 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
-
Returns the number of non-zero values in the matrix.
- 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
-
Returns array of row indices of non-zero entries.
- 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
-
Returns array of non-zero values in the matrix.
- 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.posterior.SolverPosterior
-
Returns the number of alternatives in the Prior.
- getNumberOfChains() - Method in class jline.lang.Network
- 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.posterior.SolverPosterior
- 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.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.Network
- getNumberOfStations() - Method in class jline.lang.Network
-
Returns the total number of stations in this network.
- 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.PrecomputedCDFunction
-
Gets the number of classes.
- 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.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
- 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
- getObjectiveValue() - Method in class jline.api.mapqn.Mapqn_solution
- 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.
- 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.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
- 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
- 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.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
- getPhase1Utilization() - Method in class jline.solvers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
- getPhase2ServiceTime() - Method in class jline.solvers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
- getPhase2Utilization() - Method in class jline.solvers.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
- 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.
- 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.
- 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.posterior.SolverPosterior
-
Returns the posterior distribution for a specific metric at a station/class.
- getPosteriorTable() - Method in class jline.solvers.posterior.SolverPosterior
-
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(int) - Method in class jline.solvers.NetworkSolver
-
Returns marginal state probabilities for a specific node (all states).
- getProb(int) - Method in class jline.solvers.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.qns.SolverQNS
- getProb(int, Matrix) - Method in class jline.solvers.ssa.SolverSSA
-
Get marginal probability for a specific node state (by node index).
- 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.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.qns.SolverQNS
- getProbAggr(Node) - Method in class jline.solvers.ctmc.SolverCTMC
- getProbAggr(Node) - Method in class jline.solvers.jmt.SolverJMT
- 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, 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.jmt.SolverJMT
- 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(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.
- 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.NetworkSolver
-
Probability distribution for queue length of a SINGLE class at a station.
- getProbMarg(Node) - Method in class jline.solvers.nc.SolverNC
-
Get marginal queue-length probability distribution at a node.
- 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.jmt.SolverJMT
- 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.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.qns.SolverQNS
- getProbSys() - Method in class jline.solvers.ssa.SolverSSA
-
Get system-wide probability for the current system state
- getProbSysAggr() - Method in class jline.solvers.auto.SolverAUTO
- getProbSysAggr() - Method in class jline.solvers.ctmc.SolverCTMC
- getProbSysAggr() - Method in class jline.solvers.jmt.SolverJMT
-
Gets probability of the current system state in aggregated form.
- 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.qns.SolverQNS
- getProbSysAggr() - Method in class jline.solvers.ssa.SolverSSA
-
Get aggregated system-wide probability for the current system state
- 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.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.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
- getProcUtilization() - Method in class jline.solvers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
- getProcWaiting() - Method in class jline.solvers.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
- 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(Node, JobClass) - Method in class jline.inference.lang.ParamEstimator
- getQLen(Node, JobClass, ConditionEvent) - Method in class jline.inference.lang.ParamEstimator
- 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).
- 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
- getRawAvgTables() - Method in class jline.solvers.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.solvers.LayeredNetworkAvgTable
- 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.
- 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(Node, JobClass) - Method in class jline.inference.lang.ParamEstimator
- getResult(ArrayList<Apcomplex>, ArrayList<Apcomplex>) - Static method in class jline.lib.lti.abatewhitt
- getResults() - Method in class jline.solvers.jmt.SolverJMT
- getResults() - Method in class jline.solvers.Solver
-
Returns the results from the most recent solver execution.
- getResults() - Method in class jline.unified.UnifiedTestRunner
- getResultsJMVA() - Method in class jline.solvers.jmt.SolverJMT
- getResultsJSIM() - Method in class jline.solvers.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).
- 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.
- 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.
- getRewardValueFunction(String) - Method in class jline.solvers.ctmc.SolverCTMC
-
Get the value function for a specific reward.
- getRho() - Method in class jline.api.nc.MeOqnResult
- getRight() - Method in class jline.util.Pair
- getRmax() - Method in class jline.api.fj.FJ_bounds.FJBoundsResult
- getRmin() - Method in class jline.api.fj.FJ_bounds.FJBoundsResult
- getRN() - Method in class jline.solvers.mam.handlers.MetricsResult
- getRN() - Method in class jline.solvers.mam.MAMFJResult
- getRN() - Method in class jline.solvers.ssa.handlers.SolverSSAResultNRM
- 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.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
- 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.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.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(). - 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.jmt.io.JMTIO
- getSeed() - Method in class jline.solvers.jmt.SolverJMT
- getSelectedSolverName() - Method in class jline.solvers.auto.SolverAUTO
-
Get the name of the selected solver
- 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.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
- 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
- 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.jmt.io.JMTIO
- getSimConfInt() - Method in class jline.solvers.jmt.SolverJMT
- getSimDoc() - Method in class jline.io.ElementDocumentPair
- getSimElem() - Method in class jline.io.ElementDocumentPair
- getSimMaxRelErr() - Method in class jline.solvers.jmt.io.JMTIO
- getSimMaxRelErr() - Method in class jline.solvers.jmt.SolverJMT
- getSimulationSolver(Network) - Static method in class jline.bench.BenchmarkSolvers
- getSimulationTimeoutSeconds() - Method in class jline.solvers.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.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.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
- 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.Network
- 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.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
- getStageName(int) - Method in class jline.lang.Environment
-
Gets the name of the stage at the given index.
- 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
- 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
- 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.
- 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.
- 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
- 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.jmt.SolverJMT
- getStruct() - Method in class jline.solvers.ldes.SolverLDES
-
Returns the network structure for this solver.
- getStruct() - Method in class jline.solvers.lqns.SolverLQNS
- 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(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.
- getSubsetIndices() - Method in class jline.api.fes.FESDeaggInfo
- getSupport() - Method in class jline.lang.processes.Distribution
-
Gets the support range of this distribution.
- 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.
- getSyncCallDests() - Method in class jline.lang.layered.Activity
- getSyncCallMeans() - Method in class jline.lang.layered.Activity
- 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.
- getSystemStateList() - Method in class jline.io.Ret.SampleResult
-
Gets the system state trajectories as a list of matrices (for system-wide sampling).
- 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.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
- getTaskForEntry(String) - Method in class jline.io.tikz.SequenceDiagramLayoutEngine
- 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
- 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
- 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
- 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
- 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
- getTotalCapacity() - Method in class jline.lang.layered.CacheTask
- 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
- 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.jmt.SolverJMT
-
Computes transient average station metrics over the specified time interval.
- 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.mam.SolverMAM
- getTranAvg() - Method in class jline.solvers.NetworkSolver
-
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.jmt.SolverJMT
- 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.qns.SolverQNS
- getTranCdfPassT(AvgHandle) - Method in class jline.solvers.jmt.SolverJMT
- getTranCdfPassT(AvgHandle) - Method in class jline.solvers.ldes.SolverLDES
-
Returns cumulative distribution functions of passage times during transient analysis.
- getTranCdfPassT(AvgHandle) - Method in class jline.solvers.mam.SolverMAM
-
Returns cumulative distribution functions of passage times during transient analysis.
- getTranCdfPassT(AvgHandle) - Method in class jline.solvers.NetworkSolver
-
Returns cumulative distribution functions of passage times during transient analysis.
- getTranCdfPassT(AvgHandle) - Method in class jline.solvers.qns.SolverQNS
- getTranCdfRespT() - Method in class jline.solvers.auto.SolverAUTO
- getTranCdfRespT() - Method in class jline.solvers.jmt.SolverJMT
- 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.qns.SolverQNS
- getTranCdfRespT(AvgHandle) - Method in class jline.solvers.jmt.SolverJMT
- getTranCdfRespT(AvgHandle) - Method in class jline.solvers.ldes.SolverLDES
-
Returns cumulative distribution functions of response times during transient analysis.
- getTranCdfRespT(AvgHandle) - Method in class jline.solvers.NetworkSolver
-
Returns cumulative distribution functions of response times during transient analysis.
- getTranCdfRespT(AvgHandle) - Method in class jline.solvers.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.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.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(String) - Method in class jline.solvers.ctmc.SolverCTMC
-
Get transient expected reward E[r(X(t))] over time.
- 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.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.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).
- 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
- getVariables() - Method in class jline.api.mapqn.Mapqn_solution
- 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.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.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.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
- graph - Variable in class jline.lang.layered.LayeredNetworkStruct
- 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.util.Maths.laplaceApproxComplexReturn
- H - Variable in class jline.util.Maths.laplaceApproxReturn
- 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) - Static method in class jline.lang.state.State
-
Handles FIRE events for transitions in Stochastic Petri Net (SPN) event processing.
- 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.jmt.SolverJMT
- hasAvgResults() - Method in class jline.solvers.NetworkSolver
-
Checks if the solver has computed steady-state average metrics.
- 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
- 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.
- 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.
- 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
- 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
- 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.posterior.SolverPosterior
-
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
- 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.
- 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
- 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.
- hessian(double[]) - Method in class jline.lib.rmf.CacheRMF
-
Compute Hessian d^2F/dx^2.
- heteroproc - Variable in class jline.lang.NetworkStruct
-
Heterogeneous service process parameters per station, server type, and class.
- heteroprocid - Variable in class jline.lang.NetworkStruct
-
Heterogeneous service process type per station, server type, and class.
- heterorates - Variable in class jline.lang.NetworkStruct
-
Heterogeneous service rates per station, server type, and class.
- heteroschedpolicy - Variable in class jline.lang.NetworkStruct
-
Heterogeneous scheduling policy per 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.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.
- hlruTime(double[], Matrix, Matrix, int, int) - Static method in class jline.api.cache.Cache_t_hlru
- 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_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
- 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
- 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
- HyperExp(double, double, double) - Constructor for class jline.lang.processes.HyperExp
- 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
- 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()
- 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
- 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
- immfeed - 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
- 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.
- 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
- 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
- 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.
- 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
- 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.posterior.SolverPosterior
- 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.
- 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
- 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.Network
- initFromMarginalAndRunning(Matrix, Matrix) - Method in class jline.lang.Network
- initFromMarginalAndStarted(Matrix, Matrix) - Method in class jline.lang.Network
- 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
- 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
- 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
- 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
- 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.SolverMAMFJ
-
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
- 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
- isAvailable() - Static method in class jline.solvers.lqns.SolverLQNS
- isAvailable() - Static method in class jline.solvers.qns.SolverQNS
-
Check if the solver is available Checks for the qnsolver command which is the actual executable used
- 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).
- 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.
- 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.
- 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.
- 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.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(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
- isfunction - Variable in class jline.lang.layered.LayeredNetworkStruct
- 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.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.
- isMixedModel() - Method in class jline.solvers.auto.ModelAnalyzer
-
Check if model is mixed (has both open and closed classes)
- 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
- 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.
- 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.qns.analyzers.Solver_qns_analyzer
-
Check if the external qnsolver tool is available.
- 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).
- 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
- 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
- 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(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.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.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.nc.NCResult
- 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
- iterMax - Variable in class jline.inference.lang.EstimatorOptions
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.
- 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.fes - package jline.api.fes
- jline.api.fj - package jline.api.fj
- jline.api.lossn - package jline.api.lossn
-
APIs for stochastic models of loss networks and blocking systems.
- 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.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.polling - package jline.api.polling
-
Polling system analysis algorithms.
- jline.api.qsys - package jline.api.qsys
-
Queueing system analysis algorithms.
- jline.api.rl - package jline.api.rl
- jline.api.sn - package jline.api.sn
-
Stochastic network analysis utilities.
- 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.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.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.jmt - package jline.solvers.jmt
-
This package provides an implementation of SolverJMT.
- jline.solvers.jmt.handlers - package jline.solvers.jmt.handlers
-
Handlers for SolverJMT.
- jline.solvers.jmt.io - package jline.solvers.jmt.io
- 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.lqns - package jline.solvers.lqns
-
This package provides an implementation of SolverLQNS.
- 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.posterior - package jline.solvers.posterior
- jline.solvers.qns - package jline.solvers.qns
-
This package provides an implementation of SolverQNS.
- jline.solvers.qns.analyzers - package jline.solvers.qns.analyzers
-
Analyzers for SolverQNS.
- jline.solvers.qns.handlers - package jline.solvers.qns.handlers
-
Handlers for SolverQNS.
- 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.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.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.jmt.JMT
- JMT(Network, Object...) - Constructor for class jline.solvers.jmt.JMT
- JMT(Network, String) - Constructor for class jline.solvers.jmt.JMT
- JMT(Network, SolverOptions) - Constructor for class jline.solvers.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.jmt.io
-
Unified I/O handler for JMT (Java Modelling Tools) files.
- JMTIO(Network) - Constructor for class jline.solvers.jmt.io.JMTIO
-
Creates a new JMTIO instance with default settings.
- JMTIO(Network, double, double, long, long, double, long) - Constructor for class jline.solvers.jmt.io.JMTIO
-
Creates a new JMTIO instance with full parameter control.
- JMTOptions - Class in jline.solvers.jmt
-
Configuration options for Java Modelling Tools (JMT) solver integration.
- JMTOptions() - Constructor for class jline.solvers.jmt.JMTOptions
-
Constructs a new JMTOptions instance with default JMT solver configuration.
- JMTResult - Class in jline.solvers.jmt
- JMTResult() - Constructor for class jline.solvers.jmt.JMTResult
- JMTResult.TransientProbabilityResult - Class in jline.solvers.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.solvers.ctmc.SolverCTMC.EventInfo
- jobclass - Variable in class jline.solvers.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.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.posterior.SolverPosterior.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
- jobPos - Variable in class jline.solvers.ln.SolverLN.recurActGraphReturnType
- 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
- 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.jmt.SolverJMT.ViewMode
- JSIMG_PATH - Static variable in class jline.solvers.jmt.SolverJMT
- jsimgView() - Method in class jline.lang.Network
- jsimgView() - Method in class jline.solvers.jmt.SolverJMT
- jsimgView(String) - Method in class jline.solvers.jmt.SolverJMT
- jsimgView(String, SolverOptions) - Method in class jline.solvers.jmt.SolverJMT
- jsimgView(SolverOptions) - Method in class jline.solvers.jmt.SolverJMT
- JSIMW - Enum constant in enum jline.solvers.jmt.SolverJMT.ViewMode
- jsimwView() - Method in class jline.lang.Network
- jsimwView() - Method in class jline.solvers.jmt.SolverJMT
- jsimwView(String) - Method in class jline.solvers.jmt.SolverJMT
- jsimwView(String, SolverOptions) - Method in class jline.solvers.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.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.
- 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.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.
- keepRows(Collection<Integer>) - Method in class jline.util.matrix.Matrix
-
Keeps only the specified rows in the matrix.
- Key Features - Search tag in package jline
- Section
- Key Features: - Search tag in class jline.solvers.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.
- 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.
- 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.
- 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
- lambda - Variable in class jline.io.Ret.pfqnNcSanitize
- lambda - Variable in class jline.io.Ret.snGetProductFormParams
- lambda - Variable in class jline.lib.fjcodes.FJArrival
- lambda0 - Variable in class jline.lib.fjcodes.FJArrival
- lambda1 - Variable in class jline.lib.fjcodes.FJArrival
- lambdaChain - Variable in class jline.lang.ModelAdapter.DeaggInfo
- 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
- 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
- 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
- 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 - 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
- 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
- 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
- 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.pfqnNcXQ
- 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.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
- 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
- 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
- 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
- lineTempName() - Static method in class jline.io.SysUtils
- lineTempName(String) - Static method in class jline.io.SysUtils
- 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
- 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.jmt.SolverJMT
- listValidMethods() - Method in class jline.solvers.ldes.SolverLDES
-
Returns the list of valid solution methods for LDES.
- listValidMethods() - Method in class jline.solvers.lqns.SolverLQNS
- 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.qns.SolverQNS
-
List valid methods for this solver
- listValidMethods() - Method in class jline.solvers.ssa.SolverSSA
- listValidMethods(Network) - Method in class jline.solvers.jmt.SolverJMT
- 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.lqns.SolverLQNS
- listValidMethods(Network) - Method in class jline.solvers.mam.SolverMAM
- listValidMethods(Network) - Method in class jline.solvers.ssa.SolverSSA
- listValidOptions() - Static method in class jline.solvers.Solver
-
Returns lists of valid options and methods supported by solvers.
- ljcd_interpolate(Matrix, Matrix, Matrix, int) - Static method in class jline.api.pfqn.ld.Pfqn_ljdfun
-
Multi-linear interpolation for LJCD scaling tables.
- ljcdcutoffs - Variable in class jline.lang.NetworkStruct
- ljcdCutoffs - Variable in class jline.lang.nodes.Station
- ljcdscaling - Variable in class jline.lang.NetworkStruct
- ljcdScaling - Variable in class jline.lang.nodes.Station
- ljd_delinearize(int, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_ljdfun
-
Convert linearized index back to per-class population vector
- ljd_linearize(Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_ljdfun
-
Convert per-class population vector to linearized index (0-indexed)
- ljdcutoffs - Variable in class jline.lang.NetworkStruct
- ljdCutoffs - Variable in class jline.lang.nodes.Station
- ljdscaling - Variable in class jline.lang.NetworkStruct
- ljdScaling - Variable in class jline.lang.nodes.Station
- LJF - Enum constant in enum jline.lang.constant.SchedStrategy
-
Longest Job First - jobs with largest service requirement served first
- lldscaling - Variable in class jline.lang.NetworkStruct
- 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
- Lo - Variable in class jline.io.Ret.pfqnMVALDMXEC
- 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
- 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.jmt.JMTResult
- logNormConstAggr - Variable in class jline.solvers.mva.MVAResult
-
Logarithm of the aggregate normalizing constant
- 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
- lookupSimple(String) - Method in class jline.util.matrix.MatrixEquation
-
Retrieves a matrix result from the equation context by variable name.
- 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
- 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
- lossnErlangFP(Matrix, Matrix, Matrix, int) - Constructor for class jline.io.Ret.lossnErlangFP
- lossProb - Variable in class jline.io.Ret.lossnErlangFP
- 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_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.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.lqns.LQNS
- LQNS(LayeredNetwork, SolverOptions) - Constructor for class jline.solvers.lqns.LQNS
- LQNSOptions - Class in jline.solvers.lqns
- LQNSOptions() - Constructor for class jline.solvers.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
- 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
-
Computes the solution to the continuous-time Lyapunov equation AX + XAáµ€ + Q = 0.
- lZ - Variable in class jline.io.Ret.cacheSpm
M
- 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
- 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.
- 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_trace
-
Superposes k individual M3PP processes.
- 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.
- 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
- m3pp_superpos_fitc_theoretical(MatrixCell, int) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_theoretical
- m3pp_superpos_fitc_theoretical(MatrixCell, int, double, double) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_theoretical
- 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_theoretical
- m3pp_superpos_fitc_trace(double[], int[]) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_trace
- m3pp_superpos_fitc_trace(double[], int[], int) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_theoretical
- m3pp_superpos_fitc_trace(double[], int[], int, double, double) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_theoretical
- m3pp_superpos_fitc_trace(double[], int[], Double, Double) - Static method in class jline.api.mam.m3pp.M3pp_superpos_fitc_trace
-
Superposes k M3PP 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
-
Superposes k M3PP processes to fit a multi-class trace from Matrix inputs.
- 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.BASBlockingDebugTest
- 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.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.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.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.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.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.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
- 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
- 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_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 for MAPs.
- Map_feastol - Class in jline.api.mam
- map_gamma(MatrixCell) - Static method in class jline.api.mam.Map_gamma
- map_gamma(Matrix, Matrix) - Static method in class jline.api.mam.Map_gamma
-
Computes the gamma parameter for a MAP, which is the autocorrelation decay rate.
- 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_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
- 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
- Marked - Class in jline.lang.processes
-
An abstract class for marked point processes
- Marked(String, int) - Constructor for class jline.lang.processes.Marked
- 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
- 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
- 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
- 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.
- 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(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)
- MaxInt - Static variable in class jline.GlobalConstants
-
Maximum integer value
- maxIterAC - Variable in class jline.lib.kpctoolbox.kpcfit.KPCFit.KPCFitOptions
- 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
- 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_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_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
-
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()
- 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.
- meanQueueLength - Variable in class jline.solvers.mam.handlers.BMAPMAP1Result
-
Mean queue length E[N]
- meanQueueLength - Variable in class jline.solvers.mam.handlers.MAPBMAP1Result
- 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.
- 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
- memory - Variable in class jline.lib.perm.NetworkNoThink.MarginalResult
- memory - Variable in class jline.lib.perm.PermSolver
- 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
- 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.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.pfqnNcXQ
- method - Variable in class jline.io.Ret.pfqnSchmidt
-
Method identifier
- method - Variable in class jline.solvers.nc.NCResult
- 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.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
- MethodStepHandler - Class in jline.solvers.fluid.handlers
- MethodStepHandler(int) - Constructor for class jline.solvers.fluid.handlers.MethodStepHandler
- 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
- metricName - Variable in class jline.streaming.SSAMetricPoint
-
Metric name (e.g., "queue_length", "throughput")
- metrics - Variable in class jline.solvers.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
- 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.
- 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
- 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.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 containing {D0, D1, D2, ..., Dk}
- MMAP(Matrix, Matrix...) - Constructor for class jline.lang.processes.MMAP
-
Construct an MMAP from D0 and variable number of Dk 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_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) - Static method in class jline.api.mam.Mmap_max
-
Computes the element-wise maximum of two MMAPs.
- Mmap_max - Class in jline.api.mam
- mmap_max_multiple(List<MatrixCell>) - Static method in class jline.api.mam.Mmap_max
-
Computes the element-wise maximum of multiple MMAPs.
- 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, Function1<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, Function1<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_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, MatrixCell) - Static method in class jline.api.mam.Mmap_sum
-
Computes the sum of two MMAPs, creating a superposition process.
- Mmap_sum - Class in jline.api.mam
- mmap_sum_multiple(List<MatrixCell>) - Static method in class jline.api.mam.Mmap_sum
-
Computes the sum of multiple MMAPs.
- mmap_sum_selective(List<MatrixCell>, List<int[]>) - Static method in class jline.api.mam.Mmap_sum
-
Selective sum - only sum specific classes from each MMAP.
- mmap_sum_weighted(List<MatrixCell>, double[]) - Static method in class jline.api.mam.Mmap_sum
-
Weighted sum of MMAPs with scaling factors.
- 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
- 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.
- 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
- 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() - 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.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
- 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
- ModifyMode - Enum in jline.api.sn
-
Modification mode for SN setter methods.
- mol_host_outer_tol - Variable in class jline.solvers.SolverOptions.Config
-
Host layer convergence tolerance (utilization delta).
- mol_min_steps - Variable in class jline.solvers.SolverOptions.Config
-
Minimum outer iterations before checking host convergence.
- mol_task_inner_max - Variable in class jline.solvers.SolverOptions.Config
-
Maximum task inner iterations per host outer iteration.
- mol_task_inner_tol - Variable in class jline.solvers.SolverOptions.Config
-
Task layer convergence tolerance (utilization delta).
- molItHostOuter - Variable in class jline.solvers.ln.SolverLN
- molItTaskInner - Variable in class jline.solvers.ln.SolverLN
- 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.
- 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
- 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.io.Ret.pfqnFnc
- 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
- 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
- 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
- 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
- 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_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.lang.Element
- name - Variable in class jline.lang.processes.Distribution
- name - Variable in class jline.lang.processes.Process
- 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
- 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
- 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
- NetworkAvgChainTable - Class in jline.solvers
- NetworkAvgChainTable(List<Double>, List<Double>, List<Double>, List<Double>, List<Double>, List<Double>) - Constructor for class jline.solvers.NetworkAvgChainTable
- 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
- 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).
- 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.
- 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
- 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_reaction_method_direct(Matrix, List<Integer>[], Function<Matrix, Double>[], Matrix, int, SolverOptions, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, NetworkStruct, List<Integer>, List<int[]>) - Static method in class jline.solvers.ssa.handlers.Solver_ssa_nrm
- next_reaction_method_space(Matrix, List<List<Integer>>, Function1<Matrix, Double>[], Matrix, int, SolverOptions, Map<String, double[]>, Function1<Matrix, String>) - Static method in class jline.solvers.ssa.handlers.Solver_ssa_nrm_space
- 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).
- 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.
- nhosts - Variable in class jline.lang.layered.LayeredNetworkStruct
- 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
- 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
- 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.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.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
- nodeIdx - Variable in class jline.solvers.posterior.SolverPosterior.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
- 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.
- 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(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+sum(D_i) rows form a proper infinitesimal generator.
- 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_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
- NPPrio - Enum constant in enum jline.lang.constant.SchedStrategyType
- 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
- nrp_h(Matrix, Matrix, double, Matrix) - Static method in class jline.api.pfqn.nc.Pfqn_nrp
- nservers - Variable in class jline.io.Ret.npfqnNonexpApprox
- nservers - Variable in class jline.lang.NetworkStruct
- nservertypes - Variable in class jline.lang.NetworkStruct
-
Number of server types per station.
- 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
- nstations - Variable in class jline.lang.NetworkStruct
- ntasks - Variable in class jline.lang.layered.LayeredNetworkStruct
- 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()
- 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
- obmoverlap - Variable in class jline.solvers.ldes.LDESOptions
-
Overlap fraction for OBM confidence intervals (0.0 to 1.0).
- 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
- 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
- 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
- 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.
- 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() - Constructor for class jline.io.LQN2UML.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_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
- 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.
- 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.posterior.SolverPosterior
- 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.
- outerForks - Variable in class jline.io.Ret.FJsortForks
- 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.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.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.
P
- p - Variable in class jline.api.mc.Ctmc_multi.CtmcMultiResult
- 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
- 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)
- 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
- 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
- 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.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
- 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.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.jmt.io.JMTIO
-
Parses a JMVA result XML file.
- parseJSIMResult(String) - Method in class jline.solvers.jmt.io.JMTIO
-
Parses a JSIM result XML file.
- parseLogs(boolean[], MetricType) - Method in class jline.solvers.jmt.io.JMTIO
-
Parses JMT log files for the specified metric type.
- parseOptions(Object...) - Static method in class jline.solvers.qns.SolverQNS
-
Parse options from variable arguments
- parseOptions(Object...) - Static method in class jline.solvers.Solver
-
Parses option parameters into a SolverOptions data structure.
- parseOptions(SolverOptions, Object...) - Static method in class jline.solvers.Solver
-
Parses option parameters into an existing SolverOptions instance.
- ParseOptPara - Class in jline.lib.smc
-
ParseOptPara - Utility class to parse optional parameters in QBD and related solvers.
- parseSimple(Map<String, Object>, Object...) - Static method in class jline.lib.smc.ParseOptPara
- parseTranRespT(List<String[]>, List<String[]>) - Method in class jline.solvers.jmt.io.JMTIO
-
Parses transient response time data from arrival and departure logs.
- parseTranState(List<String[]>, List<String[]>, Matrix) - Method in class jline.solvers.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.lqns.SolverLQNS
- PARTIAL - Enum constant in enum jline.lang.constant.JoinStrategy
- 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
- 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
- percentile95 - Variable in class jline.lib.kpctoolbox.trace.TraceAnalysis.TraceSummary
- percentiles - Variable in class jline.lib.fjcodes.MainFJ.FJPercentileResult
- 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
- 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
- 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, 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, Double>>, 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_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[], Matrix, List<List<Matrix>>, List<Matrix>) - Static method in class jline.api.pfqn.ld.Pfqn_conv
-
Multichain convolution for LJCD networks.
- 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 - 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_egflinearizer(Matrix, Matrix, Matrix, SchedStrategy[], double, int, 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 - 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_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_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 - 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 - 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 - 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_ljdfun(Matrix, List<Matrix>, List<Matrix>, int, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_ljdfun
-
Evaluate limited joint-dependent (LJD) function
- Pfqn_ljdfun - Class in jline.api.pfqn.ld
- 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_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_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_mvaldmx_ec(Matrix, Matrix, Matrix) - Static method in class jline.api.pfqn.ld.Pfqn_mvaldmx_ec
-
Auxiliary function used by pfqn_mvaldmx to compute the EC terms.
- Pfqn_mvaldmx_ec - 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_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_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_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_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_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
- 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
- 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
- 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
- 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
- pfqnMVALDMXEC(Matrix, Matrix, Matrix, Matrix) - Constructor for class jline.io.Ret.pfqnMVALDMXEC
- 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
- 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
- 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
- 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.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()
- 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.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.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.io.Ret.cacheMVA
- pi0 - Variable in class jline.io.Ret.cacheXiFp
- pi0 - Variable in class jline.lib.fjcodes.PiResult
- 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.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
- pk - Variable in class jline.io.Ret.pfqnProcomom2
- Pl - Variable in class jline.api.mc.Dtmc_solve_reducible.DtmcSolveReducibleResult
- Place - Class in jline.lang.nodes
-
A queueing station within a Network 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
- 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
- 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
- POLLING - Enum constant in enum jline.lang.constant.SchedStrategy
-
Polling - server visits queues in cyclic order
- 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_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
- 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
- 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
- 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.posterior.SolverPosterior
- 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
- Posterior - Class in jline.solvers.posterior
-
Posterior is an alias for
SolverPosterior(Bayesian-style parameter uncertainty analysis). - Posterior(Network, SolverPosterior.SolverFactory) - Constructor for class jline.solvers.posterior.Posterior
- Posterior(Network, SolverPosterior.SolverFactory, SolverOptions) - Constructor for class jline.solvers.posterior.Posterior
- POSTERIOR - Enum constant in enum jline.lang.constant.SolverType
- PosteriorTable(List<SolverPosterior.PosteriorTableRow>) - Constructor for class jline.solvers.posterior.SolverPosterior.PosteriorTable
- PosteriorTableRow(int, double, String, String, double, double, double, double, double) - Constructor for class jline.solvers.posterior.SolverPosterior.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
- 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.posterior.SolverPosterior
- 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 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.
- PrecomputedCDFunction(int, double) - Constructor for class jline.util.PrecomputedCDFunction
-
Creates a new pre-computed class dependence function.
- 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.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
- primes(int) - Static method in class jline.util.Maths
- 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.NetworkAvgChainTable
- 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.NetworkSolver
-
Detailed print function that displays all contents of the NetworkSolver.
- print() - Method in class jline.solvers.posterior.SolverPosterior.EmpiricalCDF
- print() - Method in class jline.solvers.posterior.SolverPosterior.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.NetworkAvgChainTable
- 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, boolean) - Method in class jline.solvers.LayeredNetworkAvgTable
- print(SolverOptions, boolean) - Method in class jline.solvers.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
- 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.NetworkAvgChainTable
- 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(SolverOptions) - Method in class jline.solvers.LayeredNetworkAvgTable
- printTable(SolverOptions) - Method in class jline.solvers.NetworkAvgChainTable
- 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.posterior.SolverPosterior.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.posterior.SolverPosterior
- PriorInfo(int, int, String, Prior) - Constructor for class jline.solvers.posterior.SolverPosterior.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.ModeEvent
- 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.posterior.SolverPosterior.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.posterior.SolverPosterior.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
- 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.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
- 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
- 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.SolverOptions.Config
-
P-norm smoothing parameters for fluid solvers
- PStarOptimisationFunction - Class in jline.solvers.fluid.handlers
- PStarOptimisationFunction(Matrix, Network, boolean) - Constructor for class jline.solvers.fluid.handlers.PStarOptimisationFunction
- PStarSearcher - Class in jline.solvers.fluid.handlers
- PStarSearcher() - Constructor for class jline.solvers.fluid.handlers.PStarSearcher
- 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
- 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.pfqn.mva.Pfqn_sqni.PfqnSqniResult
- 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.pfqnMom
- Q - Variable in class jline.io.Ret.pfqnMVA
- Q - Variable in class jline.io.Ret.pfqnMVALD
- Q - Variable in class jline.io.Ret.pfqnMVALDMX
- 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.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.nc.SolverNC.SolverNCLDReturn
- Q - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
- Q - Variable in class jline.solvers.posterior.SolverPosterior.PosteriorTableRow
- Q - Variable in class jline.solvers.SolverAvgHandles
-
Queue length handles [stations x classes]
- 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
- Q11 - Variable in class jline.solvers.ctmc.SolverCTMC.StochCompResult
- Q12 - Variable in class jline.solvers.ctmc.SolverCTMC.StochCompResult
- 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
- 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
- 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.
- qIndices - Variable in class jline.inference.api.Infer_fluid_ps_rt_likelihood.FluidPsRtResult
- qLen - Variable in class jline.io.Ret.lossnErlangFP
- QLen - Enum constant in enum jline.lang.constant.MetricType
- 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
- qlTotal - Variable in class jline.lib.qmam.MMAPKPHK1Result
- 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.SolverCTMC.AnalyzerResult
- QN - Variable in class jline.solvers.mam.handlers.MetricsResult
- 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.jmt.SolverJMT
-
Writes queueing network model to JMT JSIMG format.
- QN2JSIMG(NetworkStruct, String) - Method in class jline.solvers.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
- 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.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.qns.QNS
- QNS(Network, Object...) - Constructor for class jline.solvers.qns.QNS
- QNS(Network, String) - Constructor for class jline.solvers.qns.QNS
- QNS(Network, SolverOptions) - Constructor for class jline.solvers.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.qns
-
QNSResult class stores the results from the QNS solver.
- QNSResult() - Constructor for class jline.solvers.qns.QNSResult
-
Default constructor
- QNSResult(Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, Matrix, double, String, int) - Constructor for class jline.solvers.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.SolverResult
-
Transient queue lengths [time_points][stations x classes].
- 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(Matrix, Matrix, Matrix) - Static method in class jline.lib.qmam.Q_Sylvest
-
Solves the equation X*kron(A,I)+BX=-I using a Schur-based approach.
- 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 method.
- 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 method.
- 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 method.
- 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 enhanced Myskja's method.
- 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_ubnd_kingman(double, double, double, double) - Static method in class jline.api.qsys.Qsys_gig1_ubnd_kingman
-
Calculates an upper bound on the waiting time for a G/G/1 system using Kingman's formula.
- 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
-
G/G/k queue approximation using Cosmetatos method.
- 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
-
G/G/k queue approximation using Whitt's method.
- 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_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
-
Analyzes an M/G/1 queueing system with SRPT (Shortest Remaining Processing Time) scheduling.
- Qsys_mg1_srpt - Class in jline.api.qsys
- qsys_mg1k_loss(double, DoubleUnaryOperator, int) - Static method in class jline.api.qsys.Qsys_mg1k_loss
-
M/G/1/K loss probability calculation
- 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_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_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
- Qt - Variable in class jline.solvers.SolverAvgHandles
-
Transient queue length handles
- Qt - Variable in class jline.solvers.SolverTranHandles
- 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(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.
- queueIndices - Variable in class jline.api.fj.FJInfo
- 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.
- 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.
- 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
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.mam.Qbd_rg.QbdCrResult
- R - Variable in class jline.api.mam.Qbd_rg.QbdRgResult
- 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.pfqnMVALD
- R - Variable in class jline.io.Ret.pfqnMVALDMX
- 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.posterior.SolverPosterior.PosteriorTableRow
- R - Variable in class jline.solvers.SolverAvgHandles
-
Response time handles [stations x classes]
- 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 - 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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.
- 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.inference.api.Infer_fluid_ps_rt_likelihood.FluidPsRtResult
- refreshBalking() - Method in class jline.lang.Network
-
Refreshes balking configuration in the network structure.
- refreshCapacity() - Method in class jline.lang.Network
- refreshChains(boolean) - Method in class jline.lang.Network
- refreshDeadlines() - Method in class jline.lang.Network
-
Refreshes the deadline configuration for all job classes in the network structure.
- refreshGlobalSync() - Method in class jline.lang.Network
- refreshHeterogeneousServers() - Method in class jline.lang.Network
-
Populates heterogeneous server configuration in NetworkStruct.
- refreshImpatience() - Method in class jline.lang.Network
- refreshJobs() - Method in class jline.lang.Network
- refreshLocalVars() - Method in class jline.lang.Network
- refreshLST(List<Integer>, List<Integer>) - Method in class jline.lang.Network
- 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
- 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
- regionLinConA - Variable in class jline.lang.NetworkStruct
- regionLinConb - 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
- 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.
- 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.
- 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
- 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.
- 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
- 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.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
- 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
- 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.
- resolveClassSwitches() - Method in class jline.lang.RoutingMatrix
- 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.
- RespT - Enum constant in enum jline.lang.constant.MetricType
- 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.solvers.Solver
-
Results from the most recent solver execution
- 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.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.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.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.pfqnMVALD - Class in jline.io
-
Data structure for storing results from an MVA computation using the LD method.
- Ret.pfqnMVALDMX - Class in jline.io
-
Extended result type for MVA with load-dependent stations and additional metrics.
- Ret.pfqnMVALDMXEC - Class in jline.io
-
Data structure to hold extended results from the MVA computation, particularly focusing on error corrections.
- 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.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.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.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]
- 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
- 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.
- 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
- 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
- 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.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.SolverCTMC.AnalyzerResult
- RN - Variable in class jline.solvers.mam.handlers.MetricsResult
- 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.
- 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
- RoutingStrategy - Enum in jline.lang.constant
-
Enumeration of routing strategies that determine how jobs are dispatched to downstream stations.
- 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.solvers.posterior.SolverPosterior.PosteriorTable
- RowView - Class in jline.util.matrix
-
A lightweight view into a row of a sparse matrix that doesn't copy data.
- 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
- 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.jmt.SolverJMT
- runAnalyzer() - Method in class jline.solvers.ldes.SolverLDES
- runAnalyzer() - Method in class jline.solvers.ln.SolverLN
- runAnalyzer() - Method in class jline.solvers.lqns.SolverLQNS
- 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.posterior.SolverPosterior
-
Runs the posterior analysis.
- runAnalyzer() - Method in class jline.solvers.qns.analyzers.Solver_qns_analyzer
-
Run the QNS analyzer.
- runAnalyzer() - Method in class jline.solvers.qns.SolverQNS
-
Run the analyzer for the QNS solver
- runAnalyzer() - Method in class jline.solvers.Solver
-
Executes the solver algorithm to analyze the model.
- runAnalyzer() - Method in class jline.solvers.ssa.SolverSSA
- runAnalyzer(SolverAvgHandles) - Method in class jline.solvers.mva.handlers.MVARunner
-
runAnalyzer() method from LINE.
- runAnalyzer(SolverOptions) - Method in class jline.solvers.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.nc.SolverNC.SolverNCJointReturn
- runtime - Variable in class jline.solvers.nc.SolverNC.SolverNCLDReturn
- runtime - Variable in class jline.solvers.nc.SolverNC.SolverNCMargReturn
- runtime - Variable in class jline.solvers.nc.SolverNC.SolverNCReturn
- runtime - Variable in class jline.solvers.SolverResult
-
Computation time in seconds
- runTime - Variable in class jline.solvers.fluid.handlers.PStarSearcher
- 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.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.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.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.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.qns.SolverQNS
- sampleAggr(Node) - Method in class jline.solvers.jmt.SolverJMT
- sampleAggr(Node) - Method in class jline.solvers.ssa.SolverSSA
-
Sample aggregated node state evolution using SSA simulation using default sample count
- sampleAggr(Node, int) - Method in class jline.solvers.auto.SolverAUTO
- sampleAggr(Node, int) - Method in class jline.solvers.jmt.SolverJMT
- sampleAggr(Node, int) - Method in class jline.solvers.ssa.SolverSSA
-
Sample aggregated node state evolution using SSA simulation
- sampleAggr(Node, int, boolean) - Method in class jline.solvers.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.
- 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
- 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
-
Number of samples/operations for simulation-based methods.
- 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.qns.SolverQNS
- sampleSys(int) - Method in class jline.solvers.ssa.SolverSSA
-
Sample system-wide state evolution using SSA simulation
- sampleSysAggr() - Method in class jline.solvers.jmt.SolverJMT
- sampleSysAggr() - Method in class jline.solvers.ssa.SolverSSA
-
Sample aggregated system-wide state evolution using SSA simulation using default sample count
- 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.qns.SolverQNS
- sampleSysAggr(int) - Method in class jline.solvers.ssa.SolverSSA
-
Sample aggregated system-wide state evolution using SSA simulation
- sampleSysAggr(long) - Method in class jline.solvers.jmt.SolverJMT
- sampleSysAggr(long, boolean) - Method in class jline.solvers.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.jmt.handlers.SaveHandlers
- saveArrivalStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.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.jmt.handlers.SaveHandlers
-
Saves buffer capacity for JMT XML.
- saveBufferCapacity(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveCache(ElementDocumentPair) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveCacheStrategy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveCacheStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveClasses(ElementDocumentPair) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveClasses(SolverAvgHandles, ElementDocumentPair) - Method in class jline.solvers.jmt.io.JMTIO
-
Saves class definitions to the XML document.
- saveClassSwitchStrategy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveClassSwitchStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.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.jmt.handlers.SaveHandlers
-
Saves delay-off and setup time strategies for Queue nodes.
- saveDelayOffStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveDropRule(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveDropStrategy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveDropStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveEnablingConditions(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveFCRMetrics(ElementDocumentPair) - Method in class jline.solvers.jmt.handlers.SaveHandlers
-
Saves performance metrics for Finite Capacity Regions (blocking regions).
- saveFiringOutcomes(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveFiringPriorities(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveFiringWeights(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveForkStrategy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveForkStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveGetStrategy(DocumentSectionPair) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveGetStrategy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveGetStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- SaveHandlers - Class in jline.solvers.jmt.handlers
-
Handles the generation and serialization of JMT (Java Modelling Tools) simulation models.
- SaveHandlers(Network) - Constructor for class jline.solvers.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.jmt.handlers.SaveHandlers
-
Constructs a SaveHandlers instance with full simulation parameter control.
- saveHeterogeneousServerConfig(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
-
Saves all heterogeneous server configuration to JMT XML.
- saveHeteroSchedPolicy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
-
Saves heterogeneous scheduling policy to JMT XML.
- saveImpatience(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveImpatience(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveInhibitingConditions(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveJoinStrategy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveJoinStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveLinks(ElementDocumentPair) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveLinks(SolverAvgHandles, ElementDocumentPair) - Method in class jline.solvers.jmt.io.JMTIO
-
Saves network links to the XML document.
- saveLogTunnel(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveLogTunnel(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.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.jmt.handlers.SaveHandlers
- saveMetrics(ElementDocumentPair) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveMetrics(SolverAvgHandles, ElementDocumentPair) - Method in class jline.solvers.jmt.io.JMTIO
-
Saves metrics configuration to the XML document.
- saveModeNames(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveNumberOfServers(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveNumberOfServers(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveNumbersOfServers(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- savePlaceCapacities(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- savePreemptiveStrategy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- savePreemptiveStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- savePreemptiveWeights(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- savePreemptiveWeights(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- savePutStrategies(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- savePutStrategy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- savePutStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveRegions(ElementDocumentPair) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveRegions(SolverAvgHandles, ElementDocumentPair) - Method in class jline.solvers.jmt.io.JMTIO
-
Saves finite capacity regions to the XML document.
- saveRetrialDistributions(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveRoutingStrategy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveRoutingStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveServerCompatibilities(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
-
Saves server-class compatibility matrix to JMT XML.
- saveServersPerType(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
-
Saves the number of servers per server type to JMT XML.
- saveServerTypeNames(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
-
Saves heterogeneous server type names to JMT XML.
- saveServerVisits(DocumentSectionPair) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveServerVisits(SolverAvgHandles, DocumentSectionPair) - Method in class jline.solvers.jmt.io.JMTIO
- saveServiceStrategy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveServiceStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveSwitchoverStrategy(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveSwitchoverStrategy(SolverAvgHandles, DocumentSectionPair, int) - Method in class jline.solvers.jmt.io.JMTIO
- saveTimingStrategies(DocumentSectionPair, int) - Method in class jline.solvers.jmt.handlers.SaveHandlers
- saveTotalCapacity(DocumentSectionPair, int) - Method in class jline.solvers.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.jmt.handlers.SaveHandlers
- saveXMLHeader(SolverAvgHandles, String) - Method in class jline.solvers.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
- sched - Variable in class jline.lang.layered.LayeredNetworkStruct
- sched - Variable in class jline.lang.NetworkStruct
- schedid - Variable in class jline.lang.layered.LayeredNetworkStruct
- 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
-
Performs Schur decomposition of a matrix.
- 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
- 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.solvers.SolverOptions
-
Random number generator seed for reproducibility
- seed(int) - Method in class jline.solvers.SolverOptions
-
Sets the random number generator seed (builder pattern).
- 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
- 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.
- 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.
- 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.
- servercompat - Variable in class jline.lang.NetworkStruct
-
Server-class compatibility matrix per station.
- serverspertype - Variable in class jline.lang.NetworkStruct
-
Number of servers per server type at each station.
- 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.NetworkStruct
-
Server type names per station.
- 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.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
- ServiceSection - Class in jline.lang.sections
-
A section offering a service
- ServiceSection(String) - Constructor for class jline.lang.sections.ServiceSection
- 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(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
- 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
- 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
- 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.
- setBorderPadding(int) - Method in class jline.io.tikz.SequenceDiagramOptions
- setBorderPadding(int) - Method in class jline.io.tikz.TikZOptions
- setBreakdownResetPolicy(String, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment
-
Sets the 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.
- setCallData(List<String>, List<String>, List<String>) - Method in class jline.solvers.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
- 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, Double>) - Method in class jline.lang.nodes.Queue
-
Sets a class-dependent scaling function for service rates.
- 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.NetworkAvgNodeTable
- setClassNames(List<String>) - Method in class jline.solvers.NetworkAvgTable
-
Sets the list of job class names.
- 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.
- 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
- 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.
- 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
- setFileName(String) - Method in class jline.solvers.jmt.SolverJMT
- setFilePath(String) - Method in class jline.solvers.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
- 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(int) - Method in class jline.lang.Region
- 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
- 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
- setItems(int) - Method in class jline.lang.layered.CacheTask
- setJmtJarPath(String) - Method in class jline.solvers.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
- setJointClassDependence(Map<JobClass, Matrix>, Matrix) - Method in class jline.lang.nodes.Queue
-
Sets per-class joint class-dependent scaling for service rates.
- setJointDependence(Matrix) - Method in class jline.lang.nodes.Queue
-
Sets joint class-dependent scaling with auto-computed cutoffs.
- setJointDependence(Matrix, Matrix) - Method in class jline.lang.nodes.Queue
-
Sets joint class-dependent scaling for service rates using a lookup table.
- 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, Double>) - Method in class jline.lang.nodes.Station
-
Sets the limited class-dependent scaling function for this station.
- setLimitedJointClassDependence(Map<JobClass, Matrix>, Matrix) - Method in class jline.lang.nodes.Station
-
Sets the limited joint-class-dependent scaling for this station.
- setLimitedJointDependence(Matrix, Matrix) - Method in class jline.lang.nodes.Station
-
Sets the limited joint-dependent scaling for this station.
- 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.
- 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.jmt.SolverJMT
- setMaxSamples(long) - Method in class jline.solvers.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.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
- 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
- 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.
- 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.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.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
- 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.
- 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.NetworkAvgChainTable
- 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.
- 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
- 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.
- 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.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.
- setPopulation(double) - Method in class jline.lang.ClosedClass
-
Sets the population size for this closed class.
- 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.
- setQuantum(double) - Method in class jline.lang.layered.Host
- 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
-
Sets the read policy for a job class using a popularity distribution.
- setReadItemEntry(JobClass, Distribution, int) - Method in class jline.lang.nodes.Cache
-
Sets the read policy for a job class with explicit item cardinality.
- 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, Environment.ResetQueueLengthsFunction) - Method in class jline.lang.Environment
-
Sets the 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
- setResultHitProb(Matrix) - Method in class jline.lang.nodes.Cache
-
Sets the actual hit probabilities from simulation or analysis results.
- setResultMissProb(Matrix) - Method in class jline.lang.nodes.Cache
-
Sets the actual miss probabilities 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.
- 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
- 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
- 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
- setSeed(int) - Method in class jline.solvers.jmt.SolverJMT
- setSeed(int) - Static method in class jline.util.ThreadLocalRandom
-
Deprecated.Sets the seed for the current thread's random number generator.
- 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.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
- 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.
- 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.jmt.SolverJMT
- setSimMaxRelErr(double) - Method in class jline.solvers.jmt.SolverJMT
- setSimulationTimeoutSeconds(long) - Method in class jline.solvers.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
- 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
- setStationCounts(int[]) - Method in class jline.gen.Cluster
-
Sets per-server multiplicity (default: all 1).
- 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.
- 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.
- setStoreMetadata(boolean) - Method in class jline.io.WfCommonsOptions
-
Set whether to store WfCommons metadata in activities.
- setStrategy(JobClass, JoinStrategy) - Method in class jline.lang.nodes.Join
- setStrategy(JobClass, JoinStrategy) - Method in class jline.lang.sections.Joiner
- 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
- 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.
- 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
- 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
- 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
- setThreadPool(ExecutorService) - Method in class jline.solvers.ssa.SolverSSA
- setTimeAnyClass(boolean) - Method in class jline.lang.nodes.Logger
- 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.
- 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_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(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.
- 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.
- 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.
- 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.
- 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.
- 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.
- signalRemovalDist - Variable in class jline.lang.NetworkStruct
- signalRemovalPolicy - 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
- 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.
- 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.util.matrix.MatrixCell
-
Returns the number of matrices currently stored in this MatrixCell.
- size() - Method in class jline.util.PrecomputedCDFunction
-
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.
- 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
- Smat - Variable in class jline.lib.qmam.MAPMAP1Result
- Smat - Variable in class jline.lib.qmam.MAPMcResult
- Smat - Variable in class jline.lib.qmam.MMAPKPHK1Result
- 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_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
- 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
- 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
- snHasJointDependence(NetworkStruct) - Static method in class jline.api.sn.SnHasJointDependence
-
Checks if the network has a station with joint-dependent service process
- SnHasJointDependence - 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 - 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.
- sojAlpha - Variable in class jline.lib.qmam.MAPMAP1Result
- sojAlpha - Variable in class jline.lib.qmam.MMAPKPHK1Result
- 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.solvers.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(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, SolverOptions) - Method in interface jline.solvers.mva.handlers.MVASolverHandler
- 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
- solver - Variable in class jline.solvers.ctmc.CTMCResult
- solver - Variable in class jline.solvers.nc.NCResult
- 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, Double>>, Map<Station, Matrix>, Map<Station, Matrix>, List<List<Matrix>>, List<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_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_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
- 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_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_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_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_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_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_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_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_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_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 Joint Class Dependence (LJCD) 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 using Erlang fixed-point approximation.
- 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_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.qns.handlers
-
Core handler for the QNS solver.
- Solver_qns(NetworkStruct, SolverOptions) - Constructor for class jline.solvers.qns.handlers.Solver_qns
- Solver_qns_analyzer - Class in jline.solvers.qns.analyzers
-
Analyzer for the QNS solver.
- Solver_qns_analyzer(SolverQNS) - Constructor for class jline.solvers.qns.analyzers.Solver_qns_analyzer
- 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>, SolverSSA) - 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.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.
- 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.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, NetworkSolver[]) - Constructor for class jline.solvers.env.SolverENV
- SolverENV(Environment, NetworkSolver[], 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.posterior.SolverPosterior
- 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, SolverOptions) - Constructor for class jline.solvers.fluid.SolverFluid
-
Creates a new SolverFluid instance with specific options.
- SolverJMT - Class in jline.solvers.jmt
-
Solver interface to the Java Modelling Tools (JMT) simulation engine.
- SolverJMT(Network) - Constructor for class jline.solvers.jmt.SolverJMT
- SolverJMT(Network, Object...) - Constructor for class jline.solvers.jmt.SolverJMT
- SolverJMT(Network, String) - Constructor for class jline.solvers.jmt.SolverJMT
- SolverJMT(Network, SolverOptions) - Constructor for class jline.solvers.jmt.SolverJMT
- SolverJMT(Network, SolverOptions, String) - Constructor for class jline.solvers.jmt.SolverJMT
- SolverJMT.EventInfo - Class in jline.solvers.jmt
- SolverJMT.ViewMode - Enum in jline.solvers.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, 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.lqns
-
Solver interface to the LQNS external tool for Layered Queueing Network analysis.
- SolverLQNS(LayeredNetwork) - Constructor for class jline.solvers.lqns.SolverLQNS
- SolverLQNS(LayeredNetwork, SolverOptions) - Constructor for class jline.solvers.lqns.SolverLQNS
- SolverLQNS.DetailedLayeredNetworkAvgTable - Class in jline.solvers.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
- solverMAMFJ(NetworkStruct) - Static method in class jline.solvers.mam.SolverMAMFJ
- solverMAMFJ(NetworkStruct, double[]) - Static method in class jline.solvers.mam.SolverMAMFJ
- solverMAMFJ(NetworkStruct, double[], int) - Static method in class jline.solvers.mam.SolverMAMFJ
- solverMAMFJ(NetworkStruct, double[], int, String) - Static method in class jline.solvers.mam.SolverMAMFJ
-
Solve Fork-Join network using FJ_codes algorithm.
- SolverMAMFJ - Class in jline.solvers.mam
- 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.
- 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.
- SolverPosterior - Class in jline.solvers.posterior
-
Posterior solver for Bayesian-style parameter uncertainty analysis.
- SolverPosterior(Network, SolverPosterior.SolverFactory) - Constructor for class jline.solvers.posterior.SolverPosterior
-
Creates a SolverPosterior with the given model and solver factory.
- SolverPosterior(Network, SolverPosterior.SolverFactory, SolverOptions) - Constructor for class jline.solvers.posterior.SolverPosterior
-
Creates a SolverPosterior with solver options.
- SolverPosterior.EmpiricalCDF - Class in jline.solvers.posterior
-
Empirical CDF representing a discrete posterior distribution.
- SolverPosterior.PosteriorTable - Class in jline.solvers.posterior
-
Table containing per-alternative posterior results.
- SolverPosterior.PosteriorTableRow - Class in jline.solvers.posterior
-
Row in the posterior table.
- SolverPosterior.PriorInfo - Class in jline.solvers.posterior
-
Information about a detected Prior distribution.
- SolverPosterior.SolverFactory - Interface in jline.solvers.posterior
-
Functional interface for creating solvers.
- SolverQNS - Class in jline.solvers.qns
-
SolverQNS class implements a queueing network solver that wraps the external qnsolver tool.
- SolverQNS(Network) - Constructor for class jline.solvers.qns.SolverQNS
-
Default constructor with network model
- SolverQNS(Network, Object...) - Constructor for class jline.solvers.qns.SolverQNS
-
Constructor with network model and variable arguments
- SolverQNS(Network, String) - Constructor for class jline.solvers.qns.SolverQNS
-
Constructor with network model and method string
- SolverQNS(Network, SolverOptions) - Constructor for class jline.solvers.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, 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
- solveSafe(Matrix, Matrix, Matrix) - Static method in class jline.util.matrix.Matrix
-
Solves the linear system Ax = b for x, handling singular matrices gracefully.
- solveStatic(DMatrix, DMatrix, DMatrix) - Static method in class jline.util.matrix.SparseMatrix
- 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 current matrix's non-zero values in place.
- 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
- 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_max - Variable in class jline.solvers.SolverOptions.Config
-
Maximum state space size
- spaceAggr - Variable in class jline.solvers.ctmc.CTMCResult
- spaceCachePublic(int, Matrix) - 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
- 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.
- 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
- 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.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
- 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
- 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
- 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
- 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
- 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.ResultCTMC
- stateSpace - Variable in class jline.solvers.ctmc.SolverCTMC.StateSpace
- 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.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
- station - Variable in class jline.lang.Metric
- station - Variable in class jline.solvers.posterior.SolverPosterior.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.
- stationIdx - Variable in class jline.lang.nodes.Node
- stationIndexMap - Variable in class jline.lang.Chain
- stationIndices - Variable in class jline.lang.RegionStruct
- 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
- 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
- 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
- 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
- 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", or "max_time"
- 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
- 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_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
- subsetIndices - Variable in class jline.api.fes.FESDeaggInfo
- success - Variable in class jline.api.mam.QPResult
- sum_Ajump - Variable in class jline.lib.fjcodes.ComputeT.ComputeTResult
- 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.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.jmt.SolverJMT
- supports(Network) - Method in class jline.solvers.ldes.SolverLDES
- supports(Network) - Method in class jline.solvers.lqns.SolverLQNS
- 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.posterior.SolverPosterior
- supports(Network) - Method in class jline.solvers.qns.SolverQNS
-
Check if the solver supports the given model
- 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
- supportsModel(Network) - Static method in class jline.solvers.nc.SolverNC
-
Static method to check whether the given model is supported by the NC solver.
- 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
- 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. - 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
- sylv(Matrix, Matrix, Matrix) - Static method in class jline.util.matrix.Matrix
-
Solves the Sylvester equation A·X + X·B = -C using a Schur decomposition-based method.
- 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
- 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
- SysTput - Enum constant in enum jline.lang.constant.MetricType
- SysUtils - Class in jline.io
T
- 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.jmt.SolverJMT.EventInfo
- 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.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.posterior.SolverPosterior.PosteriorTableRow
- T - Variable in class jline.solvers.SolverAvgHandles
-
Throughput handles [stations x classes]
- T_1 - Variable in class jline.io.Ret.pfqnEstimate
- T_1 - Variable in class jline.io.Ret.pfqnLinearizerEstimate
- 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
- temp_ensemble - Variable in class jline.solvers.ln.SolverLN
- 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_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.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
- 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
- timePoints - Variable in class jline.io.Ret.DistributionResult
-
Time points for transient distributions.
- 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.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.SolverCTMC.AnalyzerResult
- TN - Variable in class jline.solvers.mam.handlers.MetricsResult
- TN - Variable in class jline.solvers.SolverResult
-
Mean throughputs [stations x classes]
- TN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
- 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.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.solvers.mam.handlers.ActionInfo
- toCTMC() - Method in class jline.lang.processes.MarkovChain
-
Convert to CTMC by subtracting identity matrix
- 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.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(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
- 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
- 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.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.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.Normal
- 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.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.PrecomputedCDFunction
- totalSimulatedEvents - Variable in class jline.solvers.ldes.LDESResult
-
Total number of simulated service completion events
- 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(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 - Enum constant in enum jline.lang.constant.MetricType
- 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 - 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
- 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
- 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.jmt.JMTResult.TransientProbabilityResult
- TransientProbabilityResult(Matrix, Matrix) - Constructor for class jline.solvers.jmt.JMTResult.TransientProbabilityResult
- 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(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
- truncLevel - Variable in class jline.api.qsys.QsysRetrialResult
- tshift - Variable in class jline.lang.layered.LayeredNetworkStruct
- 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_posterior_analysis() - Static method in class jline.examples.java.GettingStarted
-
Getting started example 12: Posterior 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.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.posterior.SolverPosterior.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_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.pfqnMVA
- 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.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.posterior.SolverPosterior.PosteriorTableRow
- U - Variable in class jline.solvers.SolverAvgHandles
-
Utilization handles [stations x classes]
- 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.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.SolverCTMC.AnalyzerResult
- UN - Variable in class jline.solvers.mam.handlers.MetricsResult
- UN - Variable in class jline.solvers.SolverResult
-
Mean server utilizations [stations x classes]
- UN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
- 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 - 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.
- 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.SolverResult
-
Transient utilizations [time_points][stations x classes]
- update(int[]) - Method in class jline.api.rl.RlEnv
- 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.jmt.handlers.SaveHandlers
-
Updates the internal network structure used for model conversion.
- updateNetworkStruct(NetworkStruct) - Method in class jline.solvers.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
- 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.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 - Enum constant in enum jline.lang.constant.MetricType
- util_ph1 - Variable in class jline.solvers.ln.SolverLN
- util_ph2 - Variable in class jline.solvers.ln.SolverLN
- 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 - Variable in class jline.api.qsys.QsysRetrialResult
- utilizationError(Matrix, Matrix, Network) - Static method in class jline.bench.BenchmarkUtils
-
Calculate utilization error for benchmarks Excludes delay stations (row 0) from comparison
- 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
- 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.NamedParam
-
The parameter value
- value() - Method in class jline.util.matrix.Matrix
-
Returns the value at position (0, 0).
- value(double[]) - Method in class jline.solvers.fluid.handlers.CMAESObjectiveFunction
- value(double[]) - Method in class jline.solvers.fluid.handlers.PStarOptimisationFunction
- 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.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.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.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.posterior.SolverPosterior.EmpiricalCDF
- 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.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.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.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()
- 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
- 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.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.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.jmt.SolverJMT
- viewModel(String, String, SolverJMT.ViewMode, VerboseLevel) - Static method in class jline.solvers.jmt.SolverJMT
- viewModel(String, SolverJMT.ViewMode) - Static method in class jline.solvers.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
W
- W - Variable in class jline.io.Ret.LinearizerResult
- 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.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.
- warmupfrac - Variable in class jline.solvers.ldes.LDESOptions
-
Warmup fraction when using fixed transient filter.
- 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.ModeEvent
- 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.
- 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]
- 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
- 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.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.jmt.SolverJMT
- writeJSIM(NetworkStruct, String) - Method in class jline.solvers.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
X
- 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.solvers.mam.handlers.INAPResult
- X - Variable in class jline.api.pfqn.mva.Pfqn_sqni.PfqnSqniResult
- 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.pfqnMom
- X - Variable in class jline.io.Ret.pfqnMVA
- X - Variable in class jline.io.Ret.pfqnMVALD
- X - Variable in class jline.io.Ret.pfqnMVALDMX
- X - Variable in class jline.io.Ret.pfqnNcXQ
- X - Variable in class jline.io.Ret.pfqnQd
- 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
- x0 - Variable in class jline.inference.lang.EstimatorOptions
- xi - Variable in class jline.io.Ret.cacheSpm
- xi - Variable in class jline.io.Ret.cacheXiFp
- 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.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.SolverCTMC.AnalyzerResult
- XN - Variable in class jline.solvers.mam.handlers.MetricsResult
- XN - Variable in class jline.solvers.SolverResult
-
Mean system throughputs [1 x chains]
- XN - Variable in class jline.solvers.ssa.handlers.SolverSSAResultNRM
- XNt - Variable in class jline.solvers.ctmc.SolverCTMC.TransientResult
- XNt - Variable in class jline.solvers.SolverResult
-
Transient system throughputs [time_points][1 x chains]
- 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.
- XSI_NO_NAMESPACE_SCHEMA_LOCATION - Static variable in class jline.solvers.jmt.SolverJMT
- 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.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.
- 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
- ZZ - Variable in class jline.api.mapqn.Mapqn_qr_bounds_bas_parameters
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Environmentinstead.