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- 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
- FCFS - enum entry in jline.lang.constant.SchedStrategy
First Come First Serve - jobs served in order of arrival
- 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
- 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.
- 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.wkflow.Wkflow_branch_detector.BranchPattern) - function in jline.api.wkflow.Wkflow_branch_detector
- Find the least probable branch in a pattern.
- findMostProbableBranch(jline.api.wkflow.Wkflow_branch_detector.BranchPattern) - function in jline.api.wkflow.Wkflow_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.ln.SolverLN
- FiniteCapacityRegion - class in jline.lang
- Collection of stations with constraints on the number of admitted jobs
- 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.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
- fitPhaseType(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Integer,java.lang.Integer) - function in jline.lib.empht.EMpht.Companion
- Fit a phase-type distribution using EM algorithm
- fitRate(double) - function in jline.lang.processes.Exp
- Creates an exponential distribution fitted to the specified rate.
- 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.
- FJQLen - enum entry in jline.lang.constant.MetricType
- FJRespT - enum entry in jline.lang.constant.MetricType
- FLUID - enum entry in jline.lang.constant.SolverType
- 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.
- 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).
- 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.
- 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
- 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.
- fromNetworkStruct(jline.lang.NetworkStruct) - function in jline.api.mapqn.Mapqn_parameters.Companion
- Creates appropriate Mapqn_parameters from a NetworkStruct.
- 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.
- fromValue(int) - function in jline.lang.constant.PollingType
- Converts a numeric value to a PollingType enum value.
- 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
- A specialized Task for modeling serverless functions and function-as-a-service (FaaS) systems.
- FWD - enum entry in jline.lang.constant.CallType