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D

D(int) - function in jline.lang.processes.MAP

Gets the i-th matrix of the Markovian arrival process representation.

D(int) - function in jline.lang.processes.MMPP2

Gets the i-th matrix of the Markovian arrival process representation.

D(int) - function in jline.lang.processes.Marked

Gets the i-th matrix of the Markovian arrival process representation.

D(int) - function in jline.lang.processes.Marked

Gets the i-th matrix of the Markovian arrival process representation.

D(int,int) - function in jline.lang.processes.Marked

 

D(int,int) - function in jline.lang.processes.Marked

 

D(int) - function in jline.lang.processes.Markovian

Gets the i-th matrix of the Markovian arrival process representation.

D(int) - function in jline.lang.processes.Markovian

Gets the i-th matrix of the Markovian arrival process representation.

DEBUG - enum entry in jline.VerboseLevel

Verbose debugging output with detailed trace information

decorate(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix

 

deepcopy(java.util.ArrayList) - function in jline.lib.lti.cme

 

deepCopy() - function in jline.solvers.LayeredSolverResult

Creates a deep copy of this layered solver result.

deepCopy() - function in jline.solvers.SolverResult

Creates a deep copy of this SolverResult instance.

deepCopy() - function in jline.solvers.SolverResult

Creates a deep copy of this SolverResult instance.

deepCopyNetwork(jline.lang.Network) - function in jline.solvers.posterior.SolverPosterior

Deep copies a Network using serialization.

defaultOptions() - function in jline.solvers.EnsembleSolver

 

defaultOptions() - function in jline.solvers.Solver

Returns a new SolverOptions instance with default settings.

defaultOptions() - function in jline.solvers.Solver

Returns a new SolverOptions instance with default settings.

defaultOptions() - function in jline.solvers.ctmc.SolverCTMC

 

defaultOptions() - function in jline.solvers.ctmc.SolverCTMC

 

defaultOptions() - function in jline.solvers.des.SolverDES

Returns the default solver options for the DES solver.

defaultOptions() - function in jline.solvers.des.SolverDES

Returns the default solver options for the DES solver.

defaultOptions() - function in jline.solvers.env.SolverENV

 

defaultOptions() - function in jline.solvers.env.SolverENV

 

defaultOptions() - function in jline.solvers.fluid.SolverFluid

Returns the default solver options for the Fluid solver.

defaultOptions() - function in jline.solvers.fluid.SolverFluid

Returns the default solver options for the Fluid solver.

defaultOptions() - function in jline.solvers.jmt.SolverJMT

 

defaultOptions() - function in jline.solvers.jmt.SolverJMT

 

defaultOptions() - function in jline.solvers.ln.SolverLN

 

defaultOptions() - function in jline.solvers.ln.SolverLN

 

defaultOptions() - function in jline.solvers.lqns.SolverLQNS

Returns the default solver options for the LQNS solver.

defaultOptions() - function in jline.solvers.lqns.SolverLQNS

Returns the default solver options for the LQNS solver.

defaultOptions() - function in jline.solvers.mam.SolverMAM

 

defaultOptions() - function in jline.solvers.mam.SolverMAM

 

defaultOptions() - function in jline.solvers.mva.SolverMVA

Returns the default solver options for the MVA solver.

defaultOptions() - function in jline.solvers.mva.SolverMVA

Returns the default solver options for the MVA solver.

defaultOptions() - function in jline.solvers.nc.SolverNC

 

defaultOptions() - function in jline.solvers.nc.SolverNC

 

defaultOptions() - function in jline.solvers.posterior.SolverPosterior

Returns default solver options.

defaultOptions() - function in jline.solvers.qns.SolverQNS

Get the default options for the QNS solver

defaultOptions() - function in jline.solvers.qns.SolverQNS

Get the default options for the QNS solver

defaultOptions() - function in jline.solvers.ssa.SolverSSA

Returns the default solver options for the SSA solver.

defaultOptions() - function in jline.solvers.ssa.SolverSSA

Returns the default solver options for the SSA solver.

Delay - enum entry in jline.lang.constant.NodeType

Delay station - infinite servers with no queueing

Delay - class in jline.lang.nodes

An infinite server station, i.e.

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.

DEP - enum entry in jline.lang.constant.EventType

 

DES - enum entry in jline.lang.constant.SolverType

 

DES - class in jline.solvers.des

DES is an alias for SolverDES (Discrete Event Simulation solver).

DESOptions - class in jline.solvers.des

Configuration options for Discrete Event Simulation (DES) solver.

DESResult - class in jline.solvers.des

 

DET - enum entry in jline.io.WfCommonsOptions.DistributionType

Deterministic (fixed) service time

DET - enum entry in jline.lang.constant.ProcessType

 

Det - class in jline.lang.processes

A Deterministic distribution taking a single constant value.

det() - function in jline.util.matrix.ComplexMatrix

Computes the determinant of this complex matrix using LU decomposition.

det() - function in jline.util.matrix.Matrix

Computes the determinant of the matrix.

det_acf(jline.util.matrix.MatrixCell,kotlin.IntArray) - function in jline.lib.kpctoolbox.smp.DETKt

Computes the autocorrelation function for a deterministic process.

det_embedded(jline.util.matrix.MatrixCell) - function in jline.lib.kpctoolbox.smp.DETKt

Computes the embedded DTMC of a deterministic MAP.

det_moment(jline.util.matrix.MatrixCell,kotlin.IntArray) - function in jline.lib.kpctoolbox.smp.DETKt

Computes the k-th moment of a deterministic process.

det_sample(jline.util.matrix.MatrixCell,java.lang.Integer,java.lang.Integer) - function in jline.lib.kpctoolbox.smp.DETKt

Generates samples from a deterministic MAP.

det_scv(jline.util.matrix.MatrixCell) - function in jline.lib.kpctoolbox.smp.DETKt

Computes the squared coefficient of variation for a deterministic process.

det_sum(jline.util.matrix.MatrixCell,jline.util.matrix.MatrixCell) - function in jline.lib.kpctoolbox.smp.DETKt

Computes the sum of two deterministic processes.

detectBranches(jline.util.matrix.Matrix,java.util.List,java.util.List) - function in jline.api.wf.Wf_branch_detector

Detect branch patterns in a workflow network.

detectLoops(jline.util.matrix.Matrix,java.util.List,java.util.List,java.util.List) - function in jline.api.wf.Wf_loop_detector

Detect loop patterns in a workflow network.

detectParallel(jline.util.matrix.Matrix,java.util.List,java.util.List,java.util.List) - function in jline.api.wf.Wf_parallel_detector

Detect parallel patterns in a workflow network.

detectPrior() - function in jline.solvers.posterior.SolverPosterior

Detects Prior distributions in the model.

detectSequences(jline.util.matrix.Matrix,java.util.List) - function in jline.api.wf.Wf_sequence_detector

Detect sequence patterns in a workflow network.

detectStiffnessUsingOstrowski(jline.lang.NetworkStruct,jline.util.matrix.Matrix) - function in jline.solvers.fluid.analyzers.ClosingAndStateDepMethodsAnalyzer

 

determinant() - function in jline.util.matrix.BaseMatrix

 

determinant() - function in jline.util.matrix.DenseMatrix

 

determinant() - function in jline.util.matrix.SparseMatrix

 

determinantStatic(org.ejml.data.DMatrix) - function in jline.util.matrix.DenseMatrix

 

determinantStatic(org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

deterministic() - function in jline.io.WfCommonsOptions

Create options with deterministic service times.

DETKt - class in jline.lib.kpctoolbox.smp

 

diag(kotlin.Array) - function in jline.util.matrix.Matrix

Creates a square diagonal matrix from the given values.

diagMatrix(kotlin.Array) - function in jline.util.matrix.Matrix

Creates a square diagonal matrix from a given array of values.

diagMatrix(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix

Creates a square diagonal matrix from the elements of a column or row vector matrix.

diagMatrix(jline.util.matrix.Matrix,kotlin.Array,int,int) - function in jline.util.matrix.Matrix

Creates or fills a square diagonal matrix with the specified values.

diagStatic(kotlin.Array) - function in jline.util.matrix.SparseMatrix

 

diagWithMatrixStatic(org.ejml.data.DMatrixSparseCSC,kotlin.Array,int,int) - function in jline.util.matrix.SparseMatrix

 

diagWithRetStatic(org.ejml.data.DMatrixSparseCSC,kotlin.Array,int,int) - function in jline.util.matrix.SparseMatrix

 

DirectedGraph - class in jline.util.graph

A directed graph data structure with weighted edges represented as an adjacency matrix.

DirectedGraph.SCCAuxResult - class in jline.util.graph.DirectedGraph

 

DirectedGraph.SCCResult - class in jline.util.graph.DirectedGraph

 

DISABLED - enum entry in jline.lang.constant.JobClassType

Disabled class - inactive job class not processed by the system

DISABLED - enum entry in jline.lang.constant.ProcessType

 

DISABLED - enum entry in jline.lang.constant.RoutingStrategy

Disabled routing - no routing allowed (jobs are dropped)

Disabled - class in jline.lang.processes

A special distribution to denote disabled service or arrival.

DisabledClass - class in jline.lang

Class of jobs that perpetually loop at a given station

DiscreteDistribution - class in jline.lang.processes

An abstract class for discrete distributions.

DISCRETESAMPLER - enum entry in jline.lang.constant.ProcessType

 

DiscreteSampler - class in jline.lang.processes

A class for discrete distributions specified from the probability mass function

DiscreteUniform - class in jline.lang.processes

A discrete distribution that samples uniformly among a set of elements.

Dispatcher - class in jline.lang.sections

Output section that routes jobs to nodes

Distribution - class in jline.lang.processes

An abstract class of a general distribution

div(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix

Performs element-wise division between this matrix and the provided matrix.

divEq(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix

Performs in-place element-wise division between this matrix and the provided matrix.

divide(double,jline.util.matrix.Matrix,boolean) - function in jline.util.matrix.Matrix

Divides this matrix by a scalar and stores the result in the output matrix.

divideEq(double) - function in jline.util.matrix.Matrix

Performs in-place division of this matrix by a scalar.

divideInPlace(double) - function in jline.util.matrix.BaseMatrix

 

divideInPlace(double) - function in jline.util.matrix.DenseMatrix

 

divideInPlace(double) - function in jline.util.matrix.SparseMatrix

 

divideInPlaceStatic(org.ejml.data.DMatrix,double) - function in jline.util.matrix.SparseMatrix

 

divideMatrix(double,org.ejml.data.DMatrix) - function in jline.util.matrix.BaseMatrix

 

divideMatrix(double,org.ejml.data.DMatrix) - function in jline.util.matrix.DenseMatrix

 

divideMatrix(double,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

divideMatrixStatic(org.ejml.data.DMatrix,double,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

divideRows(kotlin.Array,int) - function in jline.util.matrix.Matrix

Divides each row of this matrix by the corresponding diagonal element (with an offset).

divideRowsByArray(kotlin.Array,int) - function in jline.util.matrix.BaseMatrix

 

divideRowsByArray(kotlin.Array,int) - function in jline.util.matrix.DenseMatrix

 

divideRowsByArray(kotlin.Array,int) - function in jline.util.matrix.SparseMatrix

 

divideRowsByArrayStatic(kotlin.Array,int,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

divideScalarByMatrix(double,org.ejml.data.DMatrix) - function in jline.util.matrix.BaseMatrix

 

divideScalarByMatrix(double,org.ejml.data.DMatrix) - function in jline.util.matrix.DenseMatrix

 

divideScalarByMatrix(double,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

divideScalarByMatrixStatic(double,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

dmap2FromMoments(kotlin.DoubleArray,java.lang.Double) - function in jline.lib.butools.dmap.DMAP2FromMomentsKt

Returns a discrete MAP(2) which has the same 3 marginal moments and lag-1 autocorrelation as given.

DMAP2FromMomentsKt - class in jline.lib.butools.dmap

 

dmapFromDRAP(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dmap.DMAPFromDRAPKt

Obtains a Markovian representation of a discrete rational arrival process of the same size, if possible.

DMAPFromDRAPKt - class in jline.lib.butools.dmap

 

dmmapFromDMRAP(jline.util.matrix.MatrixCell,java.lang.Double) - function in jline.lib.butools.dmap.DMMAPFromDMRAPKt

Obtains a Markovian representation of a discrete rational arrival process of the same size, if possible.

dmmapFromDMRAP(kotlin.Array,java.lang.Double) - function in jline.lib.butools.dmap.DMMAPFromDMRAPKt

Overload for Array<Matrix>.

DMMAPFromDMRAPKt - class in jline.lib.butools.dmap

 

dmrapFromMoments(kotlin.DoubleArray,jline.util.matrix.MatrixCell) - function in jline.lib.butools.dmap.DMRAPFromMomentsKt

Creates a discrete marked rational arrival process that has the same marginal and lag-1 joint moments as given.

dmrapFromMoments(kotlin.DoubleArray,kotlin.Array) - function in jline.lib.butools.dmap.DMRAPFromMomentsKt

Overload for Array<Matrix>.

DMRAPFromMomentsKt - class in jline.lib.butools.dmap

 

DocumentSectionPair - class in jline.io

 

dotProduct(jline.util.matrix.Matrix) - function in jline.util.matrix.RowView

Computes the dot product of this row with a column vector.

doubleArrayToString(kotlin.Array) - function in jline.util.Utils

Convert double array to string representation

dph2From3Moments(kotlin.DoubleArray) - function in jline.lib.butools.dph.DPH2From3MomentsKt

Returns an order-2 discrete phase-type distribution which has the same 3 moments as given.

DPH2From3MomentsKt - class in jline.lib.butools.dph

 

DPH2Representation - class in jline.lib.butools.dph

Result class for CanonicalFromDPH2 containing both beta and B.

dph3From5Moments(kotlin.DoubleArray,java.lang.Double) - function in jline.lib.butools.dph.DPH3From5MomentsKt

Returns an order-3 discrete phase-type distribution which has the same 5 moments as given.

DPH3From5MomentsKt - class in jline.lib.butools.dph

 

DPH3Representation - class in jline.lib.butools.dph

Result class for CanonicalFromDPH3 containing both beta and B.

dphFromMG(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dph.DPHFromMGKt

Obtains a Markovian representation of a matrix-geometric distribution of the same size, if possible.

dphFromMG(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dph.DPHFromMGKt

Overload for DoubleArray alpha.

DPHFromMGKt - class in jline.lib.butools.dph

 

DPS - enum entry in jline.lang.constant.SchedStrategy

Discriminatory Processor Sharing - jobs receive weighted shares based on class

DPSPRIO - enum entry in jline.lang.constant.SchedStrategy

Discriminatory PS with Priorities - DPS within priority levels

drapFromMoments(kotlin.DoubleArray,jline.util.matrix.Matrix) - function in jline.lib.butools.dmap.DRAPFromMomentsKt

Creates a discrete rational arrival process that has the same marginal and lag-1 joint moments as given.

DRAPFromMomentsKt - class in jline.lib.butools.dmap

 

Drop - enum entry in jline.lang.constant.DropStrategy

 

DropRate - enum entry in jline.lang.constant.MetricType

 

DropStrategy - class in jline.lang.constant

Constants for specifying drop strategies at stations.

drpSolve(jline.util.matrix.Matrix) - function in jline.lib.butools.mc.CRPSolveKt

Computes the stationary solution of a discrete time rational process (DRP).

dtmc_isfeasible(jline.util.matrix.Matrix) - function in jline.api.mc.Dtmc_isfeasibleKt

Check if a matrix represents a feasible DTMC transition matrix

dtmc_isfeasible(jline.util.matrix.Matrix) - function in jline.lib.kpctoolbox.mc.DTMCKt

Checks feasibility of a stochastic matrix.

Dtmc_isfeasibleKt - class in jline.api.mc

 

dtmc_makestochastic(jline.util.matrix.Matrix) - function in jline.api.mc.Dtmc_makestochasticKt

Normalize a given non-negative matrix into a DTMC

dtmc_makestochastic(jline.util.matrix.Matrix) - function in jline.lib.kpctoolbox.mc.DTMCKt

Normalizes a matrix to be a valid stochastic matrix.

Dtmc_makestochasticKt - class in jline.api.mc

 

dtmc_rand(java.lang.Integer) - function in jline.api.mc.Dtmc_randKt

Form a random infinitesimal generator of a DTMC

dtmc_rand(java.lang.Integer) - function in jline.lib.kpctoolbox.mc.DTMCKt

Generates a random stochastic transition matrix.

Dtmc_randKt - class in jline.api.mc

 

dtmc_simulate(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.api.mc.Dtmc_simulateKt

Simulate a discrete-time Markov chain trajectory

dtmc_simulate(jline.util.matrix.Matrix,kotlin.DoubleArray,java.lang.Integer) - function in jline.lib.kpctoolbox.mc.DTMCKt

Simulates a trajectory of a discrete-time Markov chain.

Dtmc_simulateKt - class in jline.api.mc

 

dtmc_solve(jline.util.matrix.Matrix) - function in jline.api.mc.Dtmc_solveKt

Returns the steady-state solution of a DTMC.

dtmc_solve(jline.util.matrix.Matrix) - function in jline.lib.kpctoolbox.mc.DTMCKt

Computes the equilibrium distribution of a discrete-time Markov chain.

dtmc_solve_reducible(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.util.Map) - function in jline.api.mc.Dtmc_solve_reducibleKt

Estimate limiting distribution for a DTMC that may have reducible components

dtmc_solve_reducible_full(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.util.Map) - function in jline.api.mc.Dtmc_solve_reducibleKt

Full version that returns all computed values

Dtmc_solve_reducibleKt - class in jline.api.mc

 

Dtmc_solveKt - class in jline.api.mc

 

dtmc_stmonotone(jline.util.matrix.Matrix) - function in jline.api.mc.Ctmc_stmonotoneKt

Implementation of the dtmc_stmonotone algorithm Forneau, Pekergin - An Algorithmic Approach to Stochastic Bounds, Performance 2002 Algorithm 1

dtmc_stochcomp(jline.util.matrix.Matrix,java.util.List) - function in jline.api.mc.Dtmc_stochcompKt

Returns the stochastic complement of a DTMC

dtmc_stochcomp(jline.util.matrix.Matrix,kotlin.IntArray) - function in jline.lib.kpctoolbox.mc.DTMCKt

Computes the stochastic complement of a DTMC partition.

Dtmc_stochcompKt - class in jline.api.mc

 

dtmc_timereverse(jline.util.matrix.Matrix) - function in jline.api.mc.Dtmc_timereverseKt

Compute the infinitesimal generator of the time-reversed DTMC.

dtmc_timereverse(jline.util.matrix.Matrix) - function in jline.lib.kpctoolbox.mc.DTMCKt

Computes the time-reversed transition matrix of a DTMC.

Dtmc_timereverseKt - class in jline.api.mc

 

dtmc_uniformization(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,java.lang.Double,java.lang.Integer) - function in jline.api.mc.Dtmc_uniformizationKt

Compute the transient probability distribution of a DTMC using uniformization.

dtmc_uniformization(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Double,java.lang.Double,java.lang.Integer) - function in jline.lib.kpctoolbox.mc.DTMCKt

Computes transient probabilities for a DTMC using uniformization.

Dtmc_uniformizationKt - class in jline.api.mc

 

DtmcIsfeasibleAlgo - class in jline.api.mc

DTMC isfeasible algorithms

DTMCKt - class in jline.lib.kpctoolbox.mc

 

DtmcMakestochasticAlgo - class in jline.api.mc

DTMC makestochastic algorithms

DtmcRandAlgo - class in jline.api.mc

DTMC rand algorithms

DtmcSimulateAlgo - class in jline.api.mc

DTMC simulate algorithms

dtmcSolve(jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.mc.DTMCSolveKt

Computes the stationary solution of a discrete time Markov chain.

dtmcSolve(jline.util.matrix.Matrix) - function in jline.lib.butools.mc.DTMCSolveKt

Computes the stationary solution of a discrete time Markov chain.

DtmcSolveAlgo - class in jline.api.mc

DTMC solve algorithms

DTMCSolveKt - class in jline.lib.butools.mc

 

DtmcSolveReducibleAlgo - class in jline.api.mc

DTMC solve reducible algorithms

DtmcSolveReducibleResult - class in jline.api.mc

Result class for DTMC solve reducible

DtmcStochcompAlgo - class in jline.api.mc

DTMC stochcomp algorithms

DtmcTimereverseAlgo - class in jline.api.mc

DTMC timereverse algorithms

DtmcUniformizationAlgo - class in jline.api.mc

DTMC uniformization algorithms

DtmcUniformizationResult - class in jline.api.mc

Result class for DTMC uniformization analysis containing the probability vector and maximum iterations used.

DUNIFORM - enum entry in jline.lang.constant.ProcessType

 

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