Uses of Class
jline.util.Pair

Packages that use Pair

Package	Description
jline.api.cache	Cache modeling algorithms and performance analysis methods.
jline.api.fj
jline.api.mam	Matrix Analytic Methods (MAM) for structured Markov chains.
jline.api.mam.m3pp	Marked Markov-Modulated Poisson Process (M3PP) manipulation and fitting.
jline.api.mc	Markov Chain analysis algorithms.
jline.api.qsys	Queueing system analysis algorithms.
jline.api.sn	Stochastic network analysis utilities.
jline.api.trace	Trace analysis algorithms for empirical data.
jline.api.wf	Workflow analysis algorithms.
jline.inference.lang
jline.inference.util
jline.lang	Abstractions to declare basic elements of a model.
jline.lang.processes	This package contains processes and statistical distributions used to specify arrival rates, service rates, and item popularities
jline.lang.workflow
jline.lib.butools.dmap
jline.lib.butools.mam	Package containing Matrix-Analytic Methods (MAM) solvers.
jline.lib.butools.map	Package containing Markovian Arrival Process (MAP) functions.
jline.lib.butools.ph	Package containing phase-type distribution functions.
jline.lib.butools.reptrans	Package containing representation transformation functions.
jline.lib.kpctoolbox	Port of the KPC-Toolbox library for Markovian process fitting and manipulation.
jline.lib.kpctoolbox.aph
jline.lib.kpctoolbox.mc
jline.lib.kpctoolbox.trace
jline.lib.perm	Port of permanent computation algorithms for matrix permanents.
jline.lib.qmam
jline.solvers.env	This package provides an implementation of SolverENV (ENV).
jline.solvers.mva.handlers	Handlers for SolverMVA.
jline.solvers.ssa.handlers	Handlers for SolverSSA.
jline.util	Fundamental data structures and utilities

Uses of Pair in jline.api.cache

Methods in jline.api.cache that return Pair

Modifier and Type	Method	Description
static Pair<Double,Matrix>	Cache_mva_miss.cache_mva_miss(Matrix p, Matrix m, Matrix R)	Compute cache miss probabilities using Mean Value Analysis approach.

Uses of Pair in jline.api.fj

Methods in jline.api.fj that return Pair

Modifier and Type	Method	Description
static Pair<List<FJArrival>,List<FJService>>	FJConvert.extractFJParams(NetworkStruct sn, FJInfo fjInfo)	Extract Fork-Join parameters from network structure
static Pair<Boolean,FJInfo>	FJValidation.isFJ(NetworkStruct sn)	Check if network has Fork-Join topology suitable for FJ_codes

Uses of Pair in jline.api.mam

Methods in jline.api.mam that return Pair

Modifier and Type	Method	Description
static Pair<MatrixCell,List<MatrixCell>>	Amap2_fit_gamma.amap2_fit_gamma(double M1, double M2, double M3, double GAMMA)	Finds an AMAP(2) fitting the given characteristics.
static Pair<MatrixCell,List<MatrixCell>>	Amap2_fit_gamma_map.amap2_fit_gamma_map(MatrixCell map)	Performs approximate fitting of a given MAP, yielding a second-order AMAP in canonical form.
static Pair<MatrixCell,List<MatrixCell>>	Amap2_fit_gamma_trace.amap2_fit_gamma_trace(double[] T)	Performs approximate fitting of a given trace, yielding a second-order AMAP in canonical form.
static Pair<Matrix,Matrix>	Aph_bernstein.aph_bernstein(DoubleUnaryOperator f, int order)	Fits an Acyclic Phase-type distribution using Bernstein's approximation.
static Pair<Matrix,Matrix>	Aph_convseq.aph_convseq(List<Pair<Matrix,Matrix>> aphParams)	Performs sequential convolution of multiple APH distributions.
static Pair<Matrix,Matrix>	Aph_simplify.aph_simplify(Matrix a1, Matrix T1, Matrix a2, Matrix T2, double p1, double p2, int pattern)	Simplifies and combines two APH distributions using different structural patterns.
static Pair<Matrix,Matrix>	Map_pntquad.map_pntquad(Matrix[] MAP, int na, double t)	Compute MAP point process probabilities using ODE quadrature method.
static Pair<Matrix,Matrix>	Map2mmpp.map2mmpp(Matrix[] MAP)	Convert a MAP to MMPP format by extracting generator matrix Q and rate matrix LAMBDA.
static Pair<MatrixCell,double[]>	Mmap_mixture_order2.mmap_mixture_order2_optimal(List<MatrixCell> mmaps, double[] targetCharacteristics)	Creates a second-order MMAP mixture with automatic weight selection.

Method parameters in jline.api.mam with type arguments of type Pair

Modifier and Type	Method	Description
static Pair<Matrix,Matrix>	Aph_convseq.aph_convseq(List<Pair<Matrix,Matrix>> aphParams)	Performs sequential convolution of multiple APH distributions.

Uses of Pair in jline.api.mam.m3pp

Methods in jline.api.mam.m3pp that return Pair

Modifier and Type	Method	Description
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc.m3pp_interleave_fitc(double[] av, double[] btv, double[] binfv, double[][] acc, double[][] gtcc, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc.m3pp_interleave_fitc(double[] av, double[] btv, double[] binfv, double[][] acc, double[][] gtcc, double t, double tinf, int[] mapping, boolean reorder)	Fits k second-order M3PP[m_j] and interleaves them into a M3PP[m] of order k+1.
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap, double t, double tinf, boolean[][] mapping)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_trace.m3pp_interleave_fitc_trace(double[] interArrivalTimes, int[] classLabels)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_trace.m3pp_interleave_fitc_trace(double[] interArrivalTimes, int[] classLabels, Double t, Double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_trace.m3pp_interleave_fitc_trace(double[] interArrivalTimes, int[] classLabels, Double t, Double tinf, boolean[][] mapping)	Interleaves k M3PP to fit a multi-class trace with m classes.
static Pair<Matrix[],List<Matrix[]>>	M3pp_superpos_fitc_trace.m3pp_superpos_fitc(double[] av, double[] btv, double[] binfv, double[] m3tv, double t, double tinf)	Superposes k individual M3PP processes.
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc.m3pp_superpos_fitc(double[] av, double[] btv, double[] binfv, double m3tv, double t, double tinf)	Fits k second-order M3PP[m_j] and superposes them into a M3PP[m] of order k+1.
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap, int numComponents)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap, int numComponents, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_trace(double[] traceData, int[] classLabels)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_trace(double[] traceData, int[] classLabels, int numComponents)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_trace(double[] traceData, int[] classLabels, int numComponents, double t, double tinf)
static Pair<Matrix[],List<Matrix[]>>	M3pp_superpos_fitc_trace.m3pp_superpos_fitc_trace(double[] T, int[] A)
static Pair<Matrix[],List<Matrix[]>>	M3pp_superpos_fitc_trace.m3pp_superpos_fitc_trace(double[] T, int[] A, Double t, Double tinf)	Superposes k M3PP processes to fit a multi-class trace with m classes.
static Pair<Matrix[],List<Matrix[]>>	M3pp_superpos_fitc_trace.m3pp_superpos_fitc_trace(Matrix T, Matrix A)
static Pair<Matrix[],List<Matrix[]>>	M3pp_superpos_fitc_trace.m3pp_superpos_fitc_trace(Matrix T, Matrix A, Double t, Double tinf)	Superposes k M3PP processes to fit a multi-class trace from Matrix inputs.
static Pair<MatrixCell,List<MatrixCell>>	M3pp22_interleave_fitc.m3pp22_interleave_fitc(double[][] av, double[] btv, double[] binfv, double[] stv, double t)	Fits L pairs of classes into a single MMAP.

Uses of Pair in jline.api.mc

Methods in jline.api.mc that return Pair

Modifier and Type	Method	Description
static Pair<Matrix,Double>	Ctmc_randomization.ctmc_randomization(Matrix Q)
static Pair<Matrix,Double>	Ctmc_randomization.ctmc_randomization(Matrix Q, Double q)	Convert a CTMC to a DTMC using randomization technique
static Pair<Matrix,List<List<Integer>>>	Ctmc_solve_reducible.ctmc_solve_reducible(Matrix Q)
static Pair<Matrix,List<List<Integer>>>	Ctmc_solve_reducible.ctmc_solve_reducible(Matrix Q, Matrix pi0)
static Pair<Matrix,List<List<Integer>>>	Ctmc_solve_reducible.ctmc_solve_reducible(Matrix Q, Matrix pi0, Map<String,Object> options)	Solve reducible CTMCs by converting to DTMC via randomization.
static Pair<Matrix,List<List<Integer>>>	Ctmc_solve_reducible_blkdecomp.ctmc_solve_reducible_blkdecomp(Matrix Q)
static Pair<Matrix,List<List<Integer>>>	Ctmc_solve_reducible_blkdecomp.ctmc_solve_reducible_blkdecomp(Matrix Q, Matrix pi0)
static Pair<Matrix,List<List<Integer>>>	Ctmc_solve_reducible_blkdecomp.ctmc_solve_reducible_blkdecomp(Matrix Q, Matrix pi0, Map<String,Object> options)
static Pair<double[],List<double[]>>	Ctmc_transient.ctmc_transient(Matrix Q, double t1)
static Pair<double[],List<double[]>>	Ctmc_transient.ctmc_transient(Matrix Q, Matrix pi0, double t1)
static Pair<double[],List<double[]>>	Ctmc_transient.ctmc_transient(Matrix Q, Matrix pi0, double t0, double t1)
static Pair<double[],List<double[]>>	Ctmc_transient.ctmc_transient(Matrix Q, Matrix pi0, double t0, double t1, Double timestep)
static Pair<Matrix,List<List<Integer>>>	Dtmc_solve_reducible.dtmc_solve_reducible(Matrix P)
static Pair<Matrix,List<List<Integer>>>	Dtmc_solve_reducible.dtmc_solve_reducible(Matrix P, Matrix pin)
static Pair<Matrix,List<List<Integer>>>	Dtmc_solve_reducible.dtmc_solve_reducible(Matrix P, Matrix pin, Map<String,Object> options)	Estimate limiting distribution for a DTMC that may have reducible components.

Uses of Pair in jline.api.qsys

Methods in jline.api.qsys that return Pair

Modifier and Type	Method	Description
static Pair<double[],double[][]>	Qsys_phm1.extractPhPairForPhm1(NetworkStruct sn, int stationIdx)
static Pair<double[],double[][]>	Qsys_phm1.extractPhPairForPhm1(NetworkStruct sn, int stationIdx, int classIdx)	Extract a (alpha, T) PH representation for the qsys_phm1 sigma-root from the sn.proc map at a given station/class.

Uses of Pair in jline.api.sn

Methods in jline.api.sn that return Pair

Modifier and Type	Method	Description
static Pair<List<List<Matrix>>,Matrix>	SnRtnodesToRtorig.snRtnodesToRtorig(NetworkStruct sn)	Converts routing matrices from nodes to original format, specifically handling class switching nodes.

Uses of Pair in jline.api.trace

Methods in jline.api.trace that return Pair

Modifier and Type	Method	Description
static Pair<double[],int[]>	Mtrace_merge.mtrace_merge(double[] t1, double[] t2)	Merges two traces in a single marked (multiclass) trace.
static Pair<double[],int[][]>	Trace_var.trace_bicov(double[] S, int[] GRID)	Computes the bicovariance of the trace.
static Pair<int[],int[]>	Trace_var.trace_iat2bins(double[] S, double scale)	Computes the counts in each bin with specified timescale.
static Pair<double[],int[]>	Trace_var.trace_idi(double[] S, int[] kset)
static Pair<double[],int[]>	Trace_var.trace_idi(double[] S, int[] kset, String option, int n)	Computes the Index of Dispersion for Intervals of a trace.
static Pair<double[],int[]>	Trace_var.trace_pmf(int[] X)	Computes the probability mass function of discrete data.

Uses of Pair in jline.api.wf

Methods in jline.api.wf that return Pair

Modifier and Type	Method	Description
static Pair<Integer,Double>	Wf_branch_detector.findLeastProbableBranch(Wf_branch_detector.BranchPattern pattern)
static Pair<Integer,Double>	Wf_branch_detector.findMostProbableBranch(Wf_branch_detector.BranchPattern pattern)

Uses of Pair in jline.inference.lang

Methods in jline.inference.lang that return Pair

Modifier and Type	Method	Description
Pair<Network,Queue>	ParamEstimator.buildClosedEquivalentForPS(Queue node)

Uses of Pair in jline.inference.util

Methods in jline.inference.util that return Pair

Modifier and Type	Method	Description
static Pair<double[],Double>	OptimUtils.fmincon(Function<double[],Double> objFun, double[] x0, double[] lb, double[] ub)
static Pair<double[],Double>	OptimUtils.fmincon(Function<double[],Double> objFun, double[] x0, double[] lb, double[] ub, int maxIter)	Bound-constrained minimization using BOBYQA (derivative-free).
static Pair<Matrix,Double>	OptimUtils.quadprog(Matrix H, Matrix f, Matrix lb)	Quadratic program solver with non-negative constraints.

Uses of Pair in jline.lang

Fields in jline.lang with type parameters of type Pair

Modifier and Type	Field	Description
protected SerializableFunction<Pair<Map<Node,Matrix>,Map<Node,Matrix>>,Double>	Event.probFun

Methods in jline.lang that return Pair

Modifier and Type	Method	Description
Pair<Map<Station,Map<JobClass,Matrix>>,Map<Station,Matrix>>	Network.getLimitedJointClassDependence()	Gets the limited joint-class-dependent scaling tables and cutoffs for all stations.
Pair<Map<Station,Matrix>,Map<Station,Matrix>>	Network.getLimitedJointDependence()	Gets the limited joint-dependent scaling tables and cutoffs for all stations.

Methods in jline.lang that return types with arguments of type Pair

Modifier and Type	Method	Description
SerializableFunction<Pair<Map<Node,Matrix>,Map<Node,Matrix>>,Double>	Event.getProbFun()	Gets the probability function used to dynamically compute event probability.

Methods in jline.lang with parameters of type Pair

Modifier and Type	Method	Description
double	Event.getProb(Pair<Map<Node,Matrix>,Map<Node,Matrix>> state)	Computes the probability of this event using the probability function and current system state.

Method parameters in jline.lang with type arguments of type Pair

Modifier and Type	Method	Description
void	Event.setProbFun(SerializableFunction<Pair<Map<Node,Matrix>,Map<Node,Matrix>>,Double> probFun)	Sets the probability function to dynamically compute event probability based on system state.

Constructor parameters in jline.lang with type arguments of type Pair

Modifier	Constructor	Description
	Event(EventType event, int node, int jobclass, SerializableFunction<Pair<Map<Node,Matrix>,Map<Node,Matrix>>,Double> probFun, Matrix state, double t, double job)	Creates a new Event where probability is determined by a function of system state.

Uses of Pair in jline.lang.processes

Fields in jline.lang.processes declared as Pair

Modifier and Type	Field	Description
protected Pair<Double,Double>	Distribution.support

Methods in jline.lang.processes that return Pair

Modifier and Type	Method	Description
Pair<Double,Double>	Distribution.getSupport()	Gets the support range of this distribution.
Pair<Double,Double>	Distribution.support()	Kotlin-style property alias for getSupport()

Constructors in jline.lang.processes with parameters of type Pair

Modifier	Constructor	Description
	ContinuousDistribution(String name, int numParam, Pair<Double,Double> support)
	DiscreteDistribution(String name, int numParam, Pair<Double,Double> support)
	Distribution(String name, int numParam, Pair<Double,Double> support)	Creates a new distribution with the specified characteristics.

Uses of Pair in jline.lang.workflow

Methods in jline.lang.workflow that return Pair

Modifier and Type	Method	Description
static Pair<Matrix,Matrix>	Workflow.composeParallel(Matrix alpha1, Matrix T1, Matrix alpha2, Matrix T2)
static Pair<Matrix,Matrix>	Workflow.composeRepeat(Matrix alpha, Matrix T, int count)
static Pair<Matrix,Matrix>	Workflow.composeSerial(Matrix alpha1, Matrix T1, Matrix alpha2, Matrix T2)
Pair<Matrix,Matrix>	WorkflowActivity.getPHRepresentation()
Pair<Boolean,String>	Workflow.validate()

Uses of Pair in jline.lib.butools.dmap

Methods in jline.lib.butools.dmap that return Pair

Modifier and Type	Method	Description
static Pair<Matrix,Matrix>	CanonicalFromDMAP2.canonicalFromDMAP2(Matrix D0, Matrix D1)
static Pair<Matrix,Matrix>	CanonicalFromDMAP2.canonicalFromDMAP2(Matrix D0, Matrix D1, double prec)	Returns the canonical form of an order-2 discrete Markovian arrival process.
static Pair<Matrix,Matrix>	DMAP2FromMoments.dmap2FromMoments(double[] moms, double corr1)	Returns a discrete MAP(2) which has the same 3 marginal moments and lag-1 autocorrelation as given.
static Pair<Matrix,Matrix>	DMAPFromDRAP.dmapFromDRAP(Matrix H0, Matrix H1)
static Pair<Matrix,Matrix>	DMAPFromDRAP.dmapFromDRAP(Matrix H0, Matrix H1, double prec)	Obtains a Markovian representation of a discrete rational arrival process of the same size, if possible.
static Pair<Matrix,Matrix>	DRAPFromMoments.drapFromMoments(double[] moms, Matrix Nm)	Creates a discrete rational arrival process that has the same marginal and lag-1 joint moments as given.
static Pair<Matrix,Matrix>	RandomDMAP.randomDMAP(int order)
static Pair<Matrix,Matrix>	RandomDMAP.randomDMAP(int order, double mean)
static Pair<Matrix,Matrix>	RandomDMAP.randomDMAP(int order, double mean, int zeroEntries)
static Pair<Matrix,Matrix>	RandomDMAP.randomDMAP(int order, double mean, int zeroEntries, int maxTrials)
static Pair<Matrix,Matrix>	RandomDMAP.randomDMAP(int order, double mean, int zeroEntries, int maxTrials, double prec)
static Pair<Matrix,Matrix>	RandomDMAP.randomDMAP(int order, double mean, int zeroEntries, int maxTrials, double prec, Random random)	Returns a random discrete Markovian arrival process.

Uses of Pair in jline.lib.butools.mam

Methods in jline.lib.butools.mam that return Pair

Modifier and Type	Method	Description
static Pair<Matrix,Matrix>	QBDSolve.qbdSolve(Matrix B, Matrix L, Matrix F, Matrix L0)
static Pair<Matrix,Matrix>	QBDSolve.qbdSolve(Matrix B, Matrix L, Matrix F, Matrix L0, double prec)	Returns the parameters of the matrix-geometrically distributed stationary distribution of a QBD.

Uses of Pair in jline.lib.butools.map

Methods in jline.lib.butools.map that return Pair

Modifier and Type	Method	Description
static Pair<Matrix,Matrix>	CanonicalFromMAP2.canonicalFromMAP2(Matrix D0, Matrix D1)
static Pair<Matrix,Matrix>	CanonicalFromMAP2.canonicalFromMAP2(Matrix D0, Matrix D1, double prec)	Returns the canonical form of an order-2 Markovian arrival process.
static Pair<Double,Double>	MAP2CorrelationBounds.map2CorrelationBounds(double[] moms)	Returns the upper and lower correlation bounds for a MAP(2) given the three marginal moments.
static Pair<Matrix,Matrix>	MAP2FromMoments.map2FromMoments(double[] moms, double corr1)	Returns a MAP(2) which has the same 3 marginal moments and lag-1 autocorrelation as given.
static Pair<Matrix,Matrix>	MAPFromRAP.mapFromRAP(Matrix H0, Matrix H1)
static Pair<Matrix,Matrix>	MAPFromRAP.mapFromRAP(Matrix H0, Matrix H1, double prec)	Obtains a Markovian representation of a continuous rational arrival process of the same size, if possible.
static Pair<Matrix,Matrix>	MinimalRepFromRAP.minimalRepFromRAP(Matrix H0, Matrix H1)
static Pair<Matrix,Matrix>	MinimalRepFromRAP.minimalRepFromRAP(Matrix H0, Matrix H1, String how)
static Pair<Matrix,Matrix>	MinimalRepFromRAP.minimalRepFromRAP(Matrix H0, Matrix H1, String how, double precision)	Returns the minimal representation of a rational arrival process.
static Pair<Matrix,Matrix>	MRAPFromMoments.rapFromMoments(double[] moms, Matrix Nm)	Creates a rational arrival process that has the same marginal and lag-1 joint moments as given.
static Pair<Matrix,Matrix>	RAPFromMomentsAndCorrelations.rapFromMomentsAndCorrelations(double[] moms, double[] corr)	Returns a rational arrival process that has the same moments and lag autocorrelation coefficients as given.

Uses of Pair in jline.lib.butools.ph

Methods in jline.lib.butools.ph that return Pair

Modifier and Type	Method	Description
static Pair<double[],double[]>	IntervalPdfFromPH.intervalPdfFromME(Matrix alpha, Matrix A, double[] intBounds)	Returns the approximate probability density function of a matrix-exponential distribution, based on the probability of falling into intervals.
static Pair<double[],double[]>	IntervalPdfFromPH.intervalPdfFromPH(Matrix alpha, Matrix A, double[] intBounds)	Returns the approximate probability density function of a continuous phase-type distribution, based on the probability of falling into intervals.

Uses of Pair in jline.lib.butools.reptrans

Methods in jline.lib.butools.reptrans that return Pair

Modifier and Type	Method	Description
static Pair<Matrix,Integer>	MStaircase.mStaircase(List<Matrix> Y, Matrix Z)
static Pair<Matrix,Integer>	MStaircase.mStaircase(List<Matrix> Y, Matrix Z, double precision)	Computes a smaller representation using the staircase algorithm.

Uses of Pair in jline.lib.kpctoolbox

Methods in jline.lib.kpctoolbox that return Pair

Modifier and Type	Method	Description
static Pair<Matrix,Matrix>	APH.fromMoments(Matrix moments)

Uses of Pair in jline.lib.kpctoolbox.aph

Methods in jline.lib.kpctoolbox.aph that return Pair

Modifier and Type	Method	Description
static Pair<double[],Matrix>	APH.aph_convpara(List<Pair<double[],Matrix>> distributions)
static Pair<double[],Matrix>	APH.aph_convseq(List<Pair<double[],Matrix>> distributions)
static Pair<MatrixCell,Boolean>	APH.aph_fit(double e1, double e2, double e3)
static Pair<MatrixCell,Boolean>	APH.aph_fit(double e1, double e2, double e3, int nmax)
static Pair<double[],Matrix>	APH.aph_simplify(double[] a1, Matrix T1, double[] a2, Matrix T2, double p1, double p2, APH.ConvolutionPattern pattern)
static Pair<double[],Matrix>	APH.aph_simplify(double[] a1, Matrix T1, double[] a2, Matrix T2, APH.ConvolutionPattern pattern)
static Pair<double[],double[]>	APH.ph2hyper(MatrixCell PH)

Method parameters in jline.lib.kpctoolbox.aph with type arguments of type Pair

Modifier and Type	Method	Description
static Pair<double[],Matrix>	APH.aph_convpara(List<Pair<double[],Matrix>> distributions)
static Pair<double[],Matrix>	APH.aph_convseq(List<Pair<double[],Matrix>> distributions)

Uses of Pair in jline.lib.kpctoolbox.mc

Methods in jline.lib.kpctoolbox.mc that return Pair

Modifier and Type	Method	Description
static Pair<Matrix,Double>	CTMC.ctmc_randomization(Matrix Q)
static Pair<Matrix,Double>	CTMC.ctmc_randomization(Matrix Q, Double q)	Applies uniformization (randomization) to transform a CTMC into a DTMC.
static Pair<double[],Integer>	CTMC.ctmc_uniformization(double[] pi0, Matrix Q, double t)	Computes transient probabilities using uniformization method.
static Pair<double[],Integer>	CTMC.ctmc_uniformization(double[] pi0, Matrix Q, double t, double tol, int maxiter)
static Pair<double[],Integer>	DTMC.dtmc_uniformization(double[] pi0, Matrix P)
static Pair<double[],Integer>	DTMC.dtmc_uniformization(double[] pi0, Matrix P, double t)
static Pair<double[],Integer>	DTMC.dtmc_uniformization(double[] pi0, Matrix P, double t, double tol)
static Pair<double[],Integer>	DTMC.dtmc_uniformization(double[] pi0, Matrix P, double t, double tol, int maxiter)

Uses of Pair in jline.lib.kpctoolbox.trace

Methods in jline.lib.kpctoolbox.trace that return Pair

Modifier and Type	Method	Description
static Pair<double[],int[][]>	TraceAnalysis.trace_bicov(double[] S, int[] grid)
static Pair<int[],int[]>	TraceAnalysis.trace_iat2bins(double[] S, double scale)
static Pair<double[],double[]>	TraceAnalysis.trace_pmf(double[] X)

Uses of Pair in jline.lib.perm

Methods in jline.lib.perm that return Pair

Modifier and Type	Method	Description
static Pair<Matrix,Double>	QueueingNetwork.preprocessingDS(Matrix M)	Make a matrix doubly stochastic via the Sinkhorn algorithm.

Uses of Pair in jline.lib.qmam

Methods in jline.lib.qmam that return Pair

Modifier and Type	Method	Description
static Pair<Matrix,Matrix>	Q_Sylvest.schurDecomposition(Matrix A)	Performs Schur decomposition of a matrix.

Uses of Pair in jline.solvers.env

Constructors in jline.solvers.env with parameters of type Pair

Modifier	Constructor	Description
	RenvEvent(int nodeIdx, int jobclassIdx, double prob, Matrix state, double t, double job, Pair<Integer,Integer> envTransition)

Uses of Pair in jline.solvers.mva.handlers

Methods in jline.solvers.mva.handlers that return Pair

Modifier and Type	Method	Description
static Pair<Matrix,Matrix>	Solver_amvald.solver_amvald_forward(List<Matrix> gamma, Matrix tau, Matrix Qchain_in, Matrix Xchain_in, Matrix Uchain_in, Matrix STchain_in, Matrix Vchain_in, Matrix Nchain_in, Matrix SCVchain_in, double Nt, double delta, Matrix deltaclass, List<Integer> ocl, List<Integer> ccl, List<Integer> nnzclasses, Map<Integer,List<Integer>> nnzclasses_eprio, Map<Integer,List<Integer>> nnzclasses_hprio, Map<Integer,List<Integer>> nnzclasses_ehprio, int M, int K, Matrix nservers, Matrix schedparam, Matrix lldscaling_in, Map<Station,SerializableFunction<Matrix,Double>> cdscaling, Map<Station,Matrix> ljdscaling, Map<Station,Matrix> ljdcutoffs, List<List<Matrix>> ljcdscaling, List<Matrix> ljcdcutoffs, List<SchedStrategy> sched, List<Station> stations, SolverOptions options)

Uses of Pair in jline.solvers.ssa.handlers

Methods in jline.solvers.ssa.handlers that return Pair

Modifier and Type	Method	Description
static Pair<List<Double>,Matrix>	Solver_ssa_nrm_space.next_reaction_method_space(Matrix S, List<List<Integer>> D, kotlin.jvm.functions.Function1<Matrix,Double>[] a, Matrix nvec0, int samples, SolverOptions options, Map<String,double[]> reactcache, kotlin.jvm.functions.Function1<Matrix,String> hashfun)

Uses of Pair in jline.util

Methods in jline.util with parameters of type Pair

Modifier and Type	Method	Description
int	Pair.compareTo(Pair<T,U> other)

Constructors in jline.util with parameters of type Pair

Modifier	Constructor	Description
	Pair(Pair<T,U> other)	Copy constructor that creates a new pair with the same elements as another pair.