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F

fact(double) - function in jline.util.Maths

Computes the factorial of a double value using the gamma function.

fact(int) - function in jline.util.Maths

Computes the factorial of an integer.

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

Computes the factorial of each element in the matrix.

factln(double) - function in jline.util.Maths

Computes the natural logarithm of the factorial for a double value.

factln(int) - function in jline.util.Maths

Computes the natural logarithm of the factorial.

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

Computes the natural logarithm of the factorial for each element.

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

Computes the natural logarithm of the factorial (log(x!)) for each element in the input matrix.

factorial(java.lang.Integer) - function in jline.lib.lti.abatewhitt

 

factorialMomsFromMoms(jline.util.matrix.Matrix) - function in jline.lib.butools.FactorialMomsFromMomsKt

Returns the factorial moments given the raw moments.

FactorialMomsFromMomsKt - class in jline.lib.butools

 

failOnConnectionError(boolean) - function in jline.streaming.StreamingOptions

Set whether to fail on connection error or fall back to dry-run mode.

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

Feedback / Least Attained Service - priority based on attained service (age)

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

First Come First Serve - jobs served in order of arrival

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

First Come First Serve Preemptive Independent - higher priority job preempts, preempted job restarts

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

First Come First Served Preemptive Independent with Priority - FCFSPI with priority classes

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

First Come First Serve Preemptive Resume - higher priority job preempts, preempted job resumes

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

First Come First Served with Priority - alias for HOL

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

First Come First Served Preemptive Resume with Priority - FCFSPR with priority classes

fcr_constraints() - function in jline.examples.java.advanced.FCRegionExamples

Demonstrate FCR with multiple constraint types.

fcr_constraints() - function in jline.examples.java.advanced.FCRegionModel

FCR with multiple constraint types demonstration.

fcr_lossn() - function in jline.examples.java.advanced.FCRegionExamples

Demonstrate loss network analysis with NC solver.

fcr_lossn() - function in jline.examples.java.advanced.FCRegionModel

Loss network with FCR (for NC solver lossn method).

fcr_mm1kdrop() - function in jline.examples.java.advanced.FCRegionExamples

Compare FCR dropping with M/M/1/K.

fcr_mm1kdrop() - function in jline.examples.java.advanced.FCRegionModel

M/M/1/K with FCR dropping (K=2).

fcr_mm1waitq() - function in jline.examples.java.advanced.FCRegionExamples

Compare FCR blocking with standard M/M/1.

fcr_mm1waitq() - function in jline.examples.java.advanced.FCRegionModel

Simple M/M/1 with FCR blocking.

fcr_oqndrop() - function in jline.examples.java.advanced.FCRegionExamples

Run the multiclass FCR dropping example.

fcr_oqndrop() - function in jline.examples.java.advanced.FCRegionModel

Multiclass open network with FCR dropping.

fcr_oqnwaitq() - function in jline.examples.java.advanced.FCRegionExamples

Run the multiclass FCR blocking example.

fcr_oqnwaitq() - function in 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.

FCRegionModel - class in jline.examples.java.advanced

Examples of models with Finite Capacity Regions (FCR).

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

 

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

 

FeatureSet - class in jline.lang

Class representing the features of a particular solver

FI - enum entry in jline.lib.butools.mam.GM1Method

 

FI - enum entry in jline.lib.butools.mam.MG1Method

 

FIFO - enum entry in jline.lang.constant.ReplacementStrategy

 

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

Fills all entries in the matrix with the given value.

fillInStackTrace() - function in kotlin.Throwable

 

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

Fills the matrix with the specified value.

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

Fills the matrix with the specified value.

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

Fills the matrix with the specified value.

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

 

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

 

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

Returns the linear indices of all non-zero elements in the matrix.

findCC(int,kotlin.Array,java.util.Set) - function in jline.util.graph.UndirectedGraph

 

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

Finds the indices of all rows or columns in a matrix that have a sum of zero.

findLeastProbableBranch(jline.api.wf.Wf_branch_detector.BranchPattern) - function in jline.api.wf.Wf_branch_detector

Find the least probable branch in a pattern.

findMarginalProbs(java.lang.Double,java.lang.Integer,jline.util.matrix.Matrix,java.lang.Integer,java.lang.String) - function in jline.api.pfqn.mva.Pfqn_ab_amvaKt

Finds marginal probabilities using specified method.

findMarkovianRepresentation(java.util.List,kotlin.jvm.functions.Function2,kotlin.jvm.functions.Function2,java.lang.Double) - function in jline.lib.butools.reptrans.FindMarkovianRepresentationKt

Obtains a Markovian representation from a non-Markovian one while keeping the size the same, by applying a series of elementary transformations.

FindMarkovianRepresentationKt - class in jline.lib.butools.reptrans

 

findMostProbableBranch(jline.api.wf.Wf_branch_detector.BranchPattern) - function in jline.api.wf.Wf_branch_detector

Find the most probable branch in a pattern.

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

Returns a matrix containing indices of all non-negative elements.

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

Returns a matrix containing indices of all non-negative elements.

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

Returns the linear indices of all elements that are non-negative (≥ 0).

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

Returns a matrix containing indices of all non-negative elements.

findNonZeroRowsInColumn(int) - function in jline.util.matrix.Matrix

Finds all row indices in a given column where the value is non-zero.

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

Finds all linear indices where the matrix has a specific value.

findPaths(jline.lang.NetworkStruct,jline.util.matrix.Matrix,int,int,int,java.util.ArrayList,jline.util.matrix.Matrix,jline.util.matrix.Matrix,double,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.lang.Network) - function in jline.lang.ModelAdapter

Finds the response times along each path leading out of startNode up to (and not including) endNode

findPathsCS(jline.lang.NetworkStruct,jline.util.matrix.Matrix,int,int,int,java.util.ArrayList,jline.util.matrix.Matrix,jline.util.matrix.Matrix,double,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.lang.Network) - function in 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(jline.lang.Network,jline.util.matrix.Matrix) - function in jline.solvers.fluid.handlers.PStarSearcher

 

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

Finds the indices of all rows in a matrix that exactly match a given row vector.

findString(java.util.Map,java.lang.String) - function in jline.util.Utils

Finds the key corresponding to a target string value in a map.

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

Finds all linear indices where the matrix value is zero.

finish() - function in jline.solvers.EnsembleSolver

 

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

 

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

 

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

 

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

 

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

 

FiniteCapacityRegion - class in jline.lang

Collection of stations with constraints on the number of admitted jobs

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

Finite Capacity Region - virtual node representing a blocking region

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

 

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

Firing routing - used for transitions in Petri net models

Firing - class in jline.lang.sections

Output section that models the process of firing for a transition in a Stochastic Petri net model

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

Computes the 1-norm (maximum absolute column sum) of the matrix.

fit(double,double,double) - function in jline.lang.processes.APH

 

fitAPH() - function in jline.lang.processes.Replayer

 

fitAPH() - function in jline.lang.processes.Replayer

 

fitCentral(double,double,double) - function in jline.lang.processes.APH

 

fitCentral(double,double,double) - function in jline.lang.processes.Cox2

 

fitCentral(double,double,double) - function in jline.lang.processes.Coxian

 

fitCentral(double,double,double) - function in jline.lang.processes.Coxian

 

fitCentralAndACFDecay(double,double,double,double) - function in jline.lang.processes.MAP

Fit MAP from central moments and autocorrelation function decay.

fitCentralAndACFDecay(double,double,double,double) - function in jline.lang.processes.MMPP2

 

fitCentralAndACFLag1(double,double,double,double) - function in jline.lang.processes.MMPP2

 

fitCentralAndIDC(double,double,double,double) - function in jline.lang.processes.MMPP2

 

fitMean(double) - function in jline.lang.processes.Cox2

 

fitMean(double) - function in jline.lang.processes.Det

Creates a deterministic distribution with the specified mean value.

fitMean(double) - function in jline.lang.processes.Exp

Creates an exponential distribution fitted to the specified mean.

fitMean(double) - function in jline.lang.processes.Normal

 

fitMeanAndOrder(double,long) - function in jline.lang.processes.Erlang

Creates an Erlang distribution fitted to the specified mean and number of phases.

fitMeanAndSCV(double,double) - function in jline.lang.processes.APH

 

fitMeanAndSCV(double,double) - function in jline.lang.processes.Cox2

 

fitMeanAndSCV(double,double) - function in jline.lang.processes.Coxian

 

fitMeanAndSCV(double,double) - function in jline.lang.processes.Coxian

 

fitMeanAndSCV(double,double,double) - function in jline.lang.processes.Coxian

 

fitMeanAndSCV(double,double,double) - function in jline.lang.processes.Coxian

 

fitMeanAndSCV(double,double) - function in jline.lang.processes.Erlang

Creates an Erlang distribution fitted to the specified mean and squared coefficient of variation.

fitMeanAndSCV(double,double) - function in jline.lang.processes.Gamma

 

fitMeanAndSCV(double,double) - function in jline.lang.processes.HyperExp

Fit distribution with given mean and squared coefficient of variation (SCV=variance/mean^2)

fitMeanAndSCV(double,double) - function in jline.lang.processes.Lognormal

 

fitMeanAndSCV(double,double) - function in jline.lang.processes.Pareto

 

fitMeanAndSCV(double,double) - function in jline.lang.processes.RAP

Creates a RAP by fitting the given mean and squared coefficient of variation (SCV).

fitMeanAndSCV(double,double) - function in jline.lang.processes.Weibull

 

fitMeanAndSCVBalanced(double,double) - function in jline.lang.processes.HyperExp

Fit distribution with given squared coefficient of variation and balanced means i.e.

fitMeanAndStd(double,double) - function in jline.lang.processes.Normal

 

fitMeanAndStdDev(double,double) - function in jline.lang.processes.Erlang

Creates an Erlang distribution fitted to the specified mean and standard deviation.

fitMeanAndVar(double,double) - function in jline.lang.processes.Normal

 

fitMoments(kotlin.Array) - function in jline.lang.processes.ME

Creates an ME distribution by fitting the given moments.

fitMoments(kotlin.Array) - function in jline.lang.processes.RAP

Creates a RAP by fitting the given moments.

fitMomentsAndCorrelations(kotlin.Array,kotlin.Array) - function in jline.lang.processes.RAP

Creates a RAP by fitting the given moments and correlations.

fitRate(double) - function in jline.lang.processes.Exp

Creates an exponential distribution fitted to the specified rate.

fitRawMoments(double,double,double) - function in jline.lang.processes.APH

Fits an APH distribution from the first three raw moments.

fitRawMomentsAndACFDecay(double,double,double,double) - function in jline.lang.processes.MAP

Fit MAP from raw moments and autocorrelation function decay.

fitRawMomentsAndACFDecay(double,double,double,double) - function in jline.lang.processes.MMPP2

 

fitRawMomentsAndACFLag1(double,double,double,double) - function in jline.lang.processes.MMPP2

 

fitRawMomentsAndIDC(double,double,double,double) - function in jline.lang.processes.MMPP2

 

fj_asymm() - function in jline.examples.java.basic.ForkJoinExamples

Asymmetric fork-join network (fj_asymm.ipynb).

fj_asymm() - function in jline.examples.java.basic.ForkJoinModel

Asymmetric closed fork-join network with serial queues.

fj_basic_closed() - function in jline.examples.java.basic.ForkJoinExamples

Basic closed fork-join network (fj_basic_closed.ipynb).

fj_basic_closed() - function in jline.examples.java.basic.ForkJoinModel

Simple closed fork-join network with symmetric service rates.

fj_basic_nesting() - function in jline.examples.java.basic.ForkJoinExamples

Basic nested fork-join network (fj_basic_nesting.ipynb).

fj_basic_nesting() - function in jline.examples.java.basic.ForkJoinModel

Complex closed fork-join network with nested fork-join structures.

fj_basic_open() - function in jline.examples.java.basic.ForkJoinExamples

Basic open fork-join network (fj_basic_open.ipynb).

fj_basic_open() - function in jline.examples.java.basic.ForkJoinModel

Basic open fork-join network with single class.

fj_complex_serial() - function in jline.examples.java.basic.ForkJoinExamples

Complex serial fork-join network (fj_complex_serial.ipynb).

fj_complex_serial() - function in jline.examples.java.basic.ForkJoinModel

Complex closed fork-join with serial processing within branches.

fj_cs_multi_visits() - function in jline.examples.java.basic.ForkJoinExamples

Fork-join with class switching and multiple visits (fj_cs_multi_visits.ipynb).

fj_cs_multi_visits() - function in jline.examples.java.basic.ForkJoinModel

Open fork-join with feedback loop and class switching.

fj_cs_postfork() - function in jline.examples.java.basic.ForkJoinExamples

Fork-join with post-fork class switching (fj_cs_postfork.ipynb).

fj_cs_postfork() - function in jline.examples.java.basic.ForkJoinModel

Closed fork-join network with class switching after fork (post-fork).

fj_cs_prefork() - function in jline.examples.java.basic.ForkJoinExamples

Fork-join with pre-fork class switching (fj_cs_prefork.ipynb).

fj_cs_prefork() - function in jline.examples.java.basic.ForkJoinModel

Fork-join network with class switching demonstration.

fj_deep_nesting() - function in jline.examples.java.basic.ForkJoinExamples

Deep nested fork-join network (fj_deep_nesting.ipynb).

fj_deep_nesting() - function in jline.examples.java.basic.ForkJoinModel

 

fj_delays() - function in jline.examples.java.basic.ForkJoinExamples

Fork-join with multiple delay stages (fj_delays.ipynb).

fj_delays() - function in jline.examples.java.basic.ForkJoinModel

Closed fork-join network with two delays and two parallel queues.

fj_nojoin() - function in jline.examples.java.basic.ForkJoinExamples

Fork without join synchronization (fj_nojoin.ipynb).

fj_nojoin() - function in jline.examples.java.basic.ForkJoinModel

Open fork-join network without explicit join node.

fj_route_overlap() - function in jline.examples.java.basic.ForkJoinExamples

Fork-join with overlapping routes (fj_route_overlap.ipynb).

fj_route_overlap() - function in jline.examples.java.basic.ForkJoinModel

Fork-join with overlapping routes (fj_route_overlap.m).

fj_serialfjs_closed() - function in jline.examples.java.basic.ForkJoinExamples

Closed serial fork-join stages (fj_serialfjs_closed.ipynb).

fj_serialfjs_closed() - function in jline.examples.java.basic.ForkJoinModel

 

fj_serialfjs_open() - function in jline.examples.java.basic.ForkJoinExamples

Open serial fork-join stages (fj_serialfjs_open.ipynb).

fj_serialfjs_open() - function in jline.examples.java.basic.ForkJoinModel

Open network with cascaded fork-join stages.

fj_threebranches() - function in jline.examples.java.basic.ForkJoinExamples

Multi-class three-branch fork-join (fj_threebranches.ipynb).

fj_threebranches() - function in jline.examples.java.basic.ForkJoinModel

Multi-class closed fork-join with asymmetric routing.

fj_twoclasses_forked() - function in jline.examples.java.basic.ForkJoinExamples

Two-class fork-join with task multiplication (fj_twoclasses_forked.ipynb).

fj_twoclasses_forked() - function in jline.examples.java.basic.ForkJoinModel

Multi-class fork-join network with different task multiplicity.

FJArrival - class in jline.lib.fjcodes

Arrival representation for FJ_codes

FJConvertKt - class in jline.api.fj

 

FJInfo - class in jline.api.fj

Information about detected Fork-Join topology

FJPercentileResult - class in jline.lib.fjcodes

Result for a specific K value

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

 

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

 

FJService - class in jline.lib.fjcodes

Service representation for FJ_codes

FJServiceH - class in jline.lib.fjcodes

Service representation for 2-node FJ job

FJStateSpaceKt - class in jline.lib.fjcodes

 

FJUtilsKt - class in jline.lib.fjcodes

 

FJValidationKt - class in jline.api.fj

 

FLD - class in jline.solvers.fluid

FLD is an alias for SolverFluid (Fluid/Mean-Field Approximation solver).

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

 

Fluid - class in jline.solvers.fluid

Fluid is an alias for SolverFluid (Fluid/Mean-Field Approximation solver).

FluidAnalyzer - class in jline.solvers.fluid.analyzers

 

FluidFundamentalMatrices(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,java.lang.Integer,java.lang.String) - function in jline.lib.butools.FluidFundamentalMatricesKt

 

FluidFundamentalMatricesKt - class in jline.lib.butools

 

FluidOptions - class in jline.solvers.fluid

 

FluidResult - class in jline.solvers.fluid

Result container for Fluid solver analysis of queueing networks.

FluidSolution - class in jline.lib.butools.mam

Result class for FluidSolve containing the parameters of the matrix-exponentially distributed stationary distribution.

fluidSolve(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.mam.FluidSolveKt

Returns the parameters of the matrix-exponentially distributed stationary distribution of a canonical Markovian fluid model.

FluidSolveKt - class in jline.lib.butools.mam

 

fluidStationaryDistr(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.DoubleArray) - function in jline.lib.butools.mam.FluidStationaryDistrKt

Returns the stationary distribution of a Markovian fluid model at specific points.

FluidStationaryDistrKt - class in jline.lib.butools.mam

 

flush(double) - function in jline.streaming.Collector

Flush any pending metrics (called at end of simulation).

force(boolean) - function in jline.solvers.SolverOptions

Forces solver execution even when validation fails (builder pattern).

force(boolean) - function in jline.solvers.SolverOptions

Forces solver execution even when validation fails (builder pattern).

forJobClass(jline.lang.JobClass) - function in jline.lang.ClosedSignal

Associates this signal with a job class.

forJobClass(jline.lang.JobClass) - function in jline.lang.Signal

Associates this signal with a job class.

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

Fork node - splits jobs into parallel tasks

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

Fork node - jobs are split into parallel tasks

Fork - class in jline.lang.nodes

A node that forks an incoming job into a set of sibling tasks.

Forker - class in jline.lang.sections

Output section that forks incoming jobs into sibling tasks

ForkJoinExamples - class in jline.examples.java.basic

Fork-join network examples mirroring the Kotlin notebooks in forkJoin.

ForkJoinModel - class in jline.examples.java.basic

Examples of fork-join queueing networks

ForkNodeParam - class in jline.lang.nodeparam

Parameter container for fork nodes in queueing networks.

forward(java.lang.String) - function in jline.lang.layered.Entry

Add a forwarding call to another entry by name with probability 1.0.

forward(java.lang.String) - function in jline.lang.layered.Entry

Add a forwarding call to another entry by name with probability 1.0.

forward(java.lang.String,double) - function in jline.lang.layered.Entry

Add a forwarding call to another entry by name with a specified probability.

forward(java.lang.String,double) - function in jline.lang.layered.Entry

Add a forwarding call to another entry by name with a specified probability.

forward(jline.lang.layered.Entry) - function in jline.lang.layered.Entry

Add a forwarding call to another entry with probability 1.0.

forward(jline.lang.layered.Entry) - function in jline.lang.layered.Entry

Add a forwarding call to another entry with probability 1.0.

forward(jline.lang.layered.Entry,double) - function in jline.lang.layered.Entry

Add a forwarding call to another entry with a specified probability.

forward(jline.lang.layered.Entry,double) - function in jline.lang.layered.Entry

Add a forwarding call to another entry with a specified probability.

fromActivities(java.util.List,java.util.List) - function in jline.lang.layered.ActivityPrecedence

Creates an ActivityPrecedence with Activity objects, assuming PRE_SEQ as preType and POST_SEQ as postType.

fromActivities(java.util.List,java.util.List,java.lang.String) - function in jline.lang.layered.ActivityPrecedence

Creates an ActivityPrecedence with Activity objects, assuming POST_SEQ as postType.

fromActivities(java.util.List,java.util.List,java.lang.String,java.lang.String) - function in jline.lang.layered.ActivityPrecedence

Creates an ActivityPrecedence with Activity objects, without preParams and postParams.

fromActivities(java.util.List,java.util.List,java.lang.String,java.lang.String,jline.util.matrix.Matrix) - function in jline.lang.layered.ActivityPrecedence

Creates an ActivityPrecedence with Activity objects, without postParams.

fromActivities(java.util.List,java.util.List,java.lang.String,java.lang.String,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.layered.ActivityPrecedence

Creates an ActivityPrecedence with Activity objects.

fromArray2D(kotlin.Array) - function in jline.util.matrix.Matrix

Populates the matrix from a 2D double array.

fromArray2D(kotlin.Array) - function in jline.util.matrix.Matrix

Populates the matrix from a 2D integer array.

fromDistribution(jline.lang.processes.Distribution) - function in jline.lang.constant.ProcessType

 

fromErlang(int,double) - function in jline.lang.processes.ME

Creates an ME distribution from an Erlang distribution.

fromErlang(int,double) - function in jline.lang.processes.RAP

Creates a RAP from an Erlang renewal process.

fromExp(double) - function in jline.lang.processes.ME

Creates an ME distribution from an exponential distribution.

fromHyperExp(kotlin.Array,kotlin.Array) - function in jline.lang.processes.ME

Creates an ME distribution from a HyperExponential distribution.

fromHyperExp(double,double,double) - function in jline.lang.processes.RAP

Creates a RAP from a Hyper-exponential distribution.

fromID(int) - function in jline.lang.constant.DropStrategy

 

fromID(int) - function in jline.lang.constant.PatienceType

Convert numeric ID to PatienceType enum value.

fromID(int) - function in jline.lang.constant.SignalType

 

fromMAP(jline.lang.processes.MAP) - function in jline.lang.processes.MMDP

Converts a MAP to MMDP (deterministic representation).

fromMAP(jline.lang.processes.MAP) - function in jline.lang.processes.RAP

Creates a RAP from a Markovian Arrival Process (MAP).

fromMAPWithBatchPMF(jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.Array,kotlin.Array) - function in 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 - class in jline.lang.state

 

fromMarginal(jline.lang.NetworkStruct,int,jline.util.matrix.Matrix) - function in jline.lang.state.FromMarginal

 

fromMarginalAndRunning(jline.lang.Network,int,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.state.FromMarginal

 

fromMarginalAndRunning(jline.lang.NetworkStruct,int,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.state.FromMarginal

 

fromMarginalAndRunning(jline.lang.NetworkStruct,int,jline.util.matrix.Matrix,jline.util.matrix.Matrix,boolean) - function in jline.lang.state.FromMarginal

 

fromMarginalAndStarted(jline.lang.Network,int,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.state.FromMarginal

 

fromMarginalAndStarted(jline.lang.NetworkStruct,int,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.state.FromMarginal

 

fromMarginalAndStarted(jline.lang.NetworkStruct,int,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Boolean) - function in jline.lang.state.FromMarginal

 

fromMarginalBounds(jline.lang.NetworkStruct,int,jline.util.matrix.Matrix,double,jline.solvers.SolverOptions) - function in jline.lang.state.FromMarginal

 

fromMatrix(jline.util.matrix.Matrix) - function in jline.lang.processes.GMM

Creates a GMM from a simplified matrix representation.

fromMMPP2(double,double,double,double) - function in jline.lang.processes.MMDP

Creates an MMDP from MMPP2 parameters.

fromNetworkStruct(jline.lang.NetworkStruct) - function in jline.api.mapqn.Mapqn_parameters.Companion

Creates appropriate Mapqn_parameters from a NetworkStruct.

fromPoisson(double) - function in jline.lang.processes.RAP

Creates a RAP from an exponential renewal process (Poisson process).

fromSampleSysAggr(Object) - function in jline.lang.processes.MarkedMarkovProcess

Create MarkedCTMC from sample system aggregation

fromSampleSysAggr(Object) - function in jline.lang.processes.MarkovChain

Create DTMC from sample system aggregation (legacy interface)

fromSampleSysAggr(jline.util.matrix.Matrix) - function in jline.lang.processes.MarkovChain

Create DTMC from sample system aggregation

fromSampleSysAggr(jline.util.matrix.Matrix,int) - function in jline.lang.processes.MarkovChain

Create DTMC from sample system aggregation

fromSampleSysAggr(Object) - function in jline.lang.processes.MarkovProcess

Create CTMC from sample system aggregation (legacy interface)

fromSampleSysAggr(Object) - function in jline.lang.processes.MarkovProcess

Create CTMC from sample system aggregation (legacy interface)

fromSampleSysAggr(jline.util.matrix.Matrix) - function in jline.lang.processes.MarkovProcess

Create CTMC from sample system aggregation (assuming unit sojourn times)

fromSampleSysAggr(jline.util.matrix.Matrix) - function in jline.lang.processes.MarkovProcess

Create CTMC from sample system aggregation (assuming unit sojourn times)

fromSampleSysAggr(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.processes.MarkovProcess

Create CTMC from sample system aggregation

fromSampleSysAggr(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.processes.MarkovProcess

Create CTMC from sample system aggregation

fromSampleSysAggr(jline.util.matrix.Matrix,jline.util.matrix.Matrix,int) - function in jline.lang.processes.MarkovProcess

Create CTMC from sample system aggregation

fromSampleSysAggr(jline.util.matrix.Matrix,jline.util.matrix.Matrix,int) - function in jline.lang.processes.MarkovProcess

Create CTMC from sample system aggregation

fromText(java.lang.String) - function in jline.lang.constant.ProcessType

 

fromText(java.lang.String) - function in jline.lang.constant.ReplacementStrategy

 

fromText(java.lang.String) - function in jline.lang.constant.SchedStrategy

Converts a LINE string representation to a SchedStrategy enum value.

fromText(java.lang.String) - function in jline.lang.constant.SignalType

 

fromValue(int) - function in jline.lang.constant.PollingType

Converts a numeric value to a PollingType enum value.

fromWfCommons(java.lang.String) - function in jline.lang.workflow.Workflow

Load a workflow from a WfCommons JSON file.

fromWfCommons(java.lang.String,jline.io.WfCommonsOptions) - function in jline.lang.workflow.Workflow

Load a workflow from a WfCommons JSON file with options.

FULL - enum entry in jline.api.sn.ValidationLevel

Full validation of all constraints and consistency checks.

• Index bounds checking

• NaN/Inf detection

• Routing matrix stochasticity (row sums = 1.0)

• Population non-negative for closed classes

• nServers 0

• Node type verification for fork/join operations

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 Code was adapted from ...

FunctionTask - class in jline.lang.layered

FunctionTask is an alias for Task, provided for backward compatibility.

FWD - enum entry in jline.lang.constant.CallType

 

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