R-index

A B C D E F G H I J K L M N O P Q R S T U V W X Z

R

R() - function in jline.lang.processes.MMDP: Returns the rate matrix R (diagonal).
r() - function in jline.lang.processes.MMDP: Returns the rate vector (diagonal of R).
RAND - enum entry in jline.lang.constant.RoutingStrategy: Random routing - destination selected uniformly at random
rand() - function in jline.lang.processes.MAP
rand(int) - function in jline.lang.processes.MAP
rand() - function in jline.lang.processes.MMPP2
rand(int) - function in jline.lang.processes.MarkovChain: Create a random DTMC
rand(int) - function in jline.lang.processes.MarkovProcess: Create a random CTMC
rand(int) - function in jline.lang.processes.MarkovProcess: Create a random CTMC
rand() - function in jline.util.Maths
randGallery(int,int,int) - function in jline.bench.BenchmarkUtils: Generate random gallery matrix (similar to MATLAB's randgallery) This creates a random matrix with values in [0,1]
randGraph(int) - function in jline.lang.NetworkGenerator: Generate a random strongly connected graph topology This implements the algorithm from MATLAB's randGraph function
randMatrix(int) - function in jline.util.matrix.Matrix: Fills the matrix with random values between 0 and 1.
randn() - function in jline.lang.processes.MAP
randn(int,double,double) - function in jline.lang.processes.MAP
randn() - function in jline.util.Maths
random() - function in jline.util.ThreadLocalRandom: Generates a random double value in [0.0, 1.0) using the thread-specific MersenneTwister.
randomDMAP(java.lang.Integer,java.lang.Double,java.lang.Integer,java.lang.Integer,java.lang.Double,java.util.Random) - function in jline.lib.butools.dmap.RandomDMAPKt: Returns a random discrete Markovian arrival process.
RandomDMAPKt - class in jline.lib.butools.dmap
randomDMMAP(java.lang.Integer,java.lang.Integer,java.lang.Double,java.lang.Integer,java.lang.Integer,java.lang.Double,java.util.Random) - function in jline.lib.butools.dmap.RandomDMMAPKt: Returns a random discrete marked Markovian arrival process.
RandomDMMAPKt - class in jline.lib.butools.dmap
randomDPH(java.lang.Integer,java.lang.Double,java.lang.Integer,java.lang.Integer,java.lang.Double,java.util.Random) - function in jline.lib.butools.dph.RandomDPHKt: Returns a random discrete phase-type distribution with a given mean value.
RandomDPHKt - class in jline.lib.butools.dph
RandomEnvExamples - class in jline.examples.java.advanced: Examples demonstrating queueing networks in random environments.
RandomEnvironmentModel - class in jline.examples.java.advanced: Examples of models evolving in a random environment
RandomManager - class in jline.util: Centralized random number generator management for reproducible, thread-safe random number generation.
randomMAP(java.lang.Integer,java.lang.Double,java.lang.Integer,java.lang.Integer,java.lang.Double,java.util.Random) - function in jline.lib.butools.map.RandomMAPKt: Returns a random Markovian arrival process with given mean value.
RandomMAPKt - class in jline.lib.butools.map
randomMatlabStyle() - function in jline.util.Maths
randomPH(java.lang.Integer,java.lang.Double,java.lang.Integer,java.lang.Integer,java.lang.Double,java.util.Random) - function in jline.lib.butools.ph.RandomPHKt: Returns a random phase-type distribution with a given order.
RandomPHKt - class in jline.lib.butools.ph
RandomSource - class in jline.lang.sections: Input buffer of a Source
Randp - class in jline.api.mam: Randp algorithms
randp(jline.util.matrix.Matrix) - function in jline.api.mam.RandpKt: Generate a single random sample with relative probability (Matrix version).
randp(jline.util.matrix.Matrix,java.lang.Integer,java.lang.Integer) - function in jline.api.mam.RandpKt: Pick random values with relative probability (Matrix version).
randp(kotlin.DoubleArray) - function in jline.api.mam.RandpKt: Generate a single random sample with relative probability.
randp(kotlin.DoubleArray,java.lang.Integer,java.lang.Integer) - function in jline.api.mam.RandpKt: Pick random values with relative probability.
RandpKt - class in jline.api.mam
rank() - function in jline.util.matrix.Matrix: Computes the rank of the matrix.
RAP - enum entry in jline.lang.constant.ProcessType
RAP - class in jline.lang.processes: A Rational Arrival Process (RAP) distribution.
RAPRAP1Options - class in jline.lib.qmam: Options for RAP/RAP/1 queue analysis
RAPRAP1Result - class in jline.lib.qmam: Result of RAP/RAP/1 queue analysis
rate() - function in jline.lang.processes.Coxian: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Coxian: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Det: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Distribution: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Distribution: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Erlang: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Exp: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Gamma: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.HyperExp: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Lognormal: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Markovian: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Markovian: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.PH: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Pareto: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Uniform: Kotlin-style property alias for getRate()
rate() - function in jline.lang.processes.Weibull: Kotlin-style property alias for getRate()
RCATModel - class in jline.solvers.mam.handlers
reachableSpaceGenerator(jline.lang.NetworkStruct,jline.solvers.SolverOptions) - function in jline.lang.state.State: Generates state space restricted to states reachable from initial state Migrated from MATLAB reachableSpaceGenerator.
READ - enum entry in jline.lang.constant.EventType
readFromFile(java.lang.String) - function in jline.util.matrix.Matrix: Reads a CSV-formatted matrix from a file.
readXML(java.lang.String) - function in jline.lang.layered.LayeredNetwork: Reads a layered queueing network from an XML file with default verbose setting.
readXML(java.lang.String,boolean) - function in jline.lang.layered.LayeredNetwork: Reads a layered queueing network from an XML file.
rechenberg(java.util.ArrayList) - function in jline.lib.lti.cme
reciprocal() - function in jline.util.matrix.Matrix: Computes the element-wise reciprocal (1/x) of the matrix.
recommendSolverWithWorkflowAnalysis() - function in jline.api.wf.Wf_auto_integration: Perform workflow-aware solver selection.
reconnect() - function in org.java_websocket.client.WebSocketClient
reconnectBlocking() - function in org.java_websocket.client.WebSocketClient
reconstructDiscreteDistribution(jline.lang.constant.ProcessType,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lang.layered.LayeredNetwork: Reconstruct a DiscreteDistribution object from primitive parameters.
reconstructDistribution(jline.lang.constant.ProcessType,jline.util.matrix.Matrix,java.lang.Double,java.lang.Double,jline.util.matrix.MatrixCell) - function in jline.lang.layered.LayeredNetwork: Reconstruct a Distribution object from primitive parameters.
recordState(double,double,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.streaming.Collector: Record state observation from simulation loop.
ReducedMomsFromMoms(kotlin.DoubleArray) - function in jline.lib.butools.ReducedMomsFromMomsKt: Returns the reduced moments given the raw moments (DoubleArray version).
reducedMomsFromMoms(jline.util.matrix.Matrix) - function in jline.lib.butools.ReducedMomsFromMomsKt: Returns the reduced moments given the raw moments.
ReducedMomsFromMomsKt - class in jline.lib.butools
REF - enum entry in jline.lang.constant.SchedStrategy: Reference station - used for closed classes
refreshCapacity() - function in jline.lang.Network
refreshChains(boolean) - function in jline.lang.Network
refreshDeadlines() - function in jline.lang.Network: Refreshes the deadline configuration for all job classes in the network structure.
refreshGlobalSync() - function in jline.lang.Network
refreshImpatience() - function in jline.lang.Network
refreshJobs() - function in jline.lang.Network
refreshLocalVars() - function in jline.lang.Network
refreshLST(java.util.List,java.util.List) - function in jline.lang.Network
refreshPetriNetNodes() - function in jline.lang.Network
refreshPriorities() - function in jline.lang.Network
refreshProcesses() - function in jline.lang.Network
refreshProcesses(java.util.List,java.util.List) - function in jline.lang.Network
refreshProcessPhases(java.util.List,java.util.List) - function in jline.lang.Network
refreshProcessRepresentations() - function in jline.lang.Network
refreshProcessTypes(java.util.List,java.util.List) - function in jline.lang.Network
refreshRates(java.util.List,java.util.List) - function in jline.lang.Network
refreshRegions() - function in jline.lang.Network: Populate finite capacity region information in sn struct.
refreshRoutingMatrix(jline.util.matrix.Matrix) - function in jline.lang.Network
refreshScheduling() - function in jline.lang.Network
refreshStruct() - function in jline.lang.Network
refreshStruct(boolean) - function in jline.lang.Network
refreshSync() - function in jline.lang.Network
RegionStruct - class in jline.lang: Data structure representing a finite capacity region with all its constraints and properties.
RelatentropyAlgo - class in jline.api.measures: Relatentropy algorithms
relativeEntropy(kotlin.DoubleArray,kotlin.DoubleArray) - function in jline.lib.butools.fitting.RelativeEntropyKt: Returns the relative entropy (aka Kullback-Leibler divergence) of two vectors.
RelativeEntropyKt - class in jline.lib.butools.fitting
releaseBuffers(org.java_websocket.WebSocket) - function in org.java_websocket.server.WebSocketServer
relink(jline.lang.RoutingMatrix) - function in jline.lang.Network
relT() - function in jline.lang.Environment: Short alias for getReliabilityTable.
relT() - function in jline.lang.Environment: Short alias for getReliabilityTable.
relTable() - function in jline.lang.Environment: Short alias for getReliabilityTable.
relTable() - function in jline.lang.Environment: Short alias for getReliabilityTable.
remove(jline.lang.nodes.Station,jline.lang.JobClass) - function in jline.solvers.AvgHandle: Removes the metric for a specific station and job class.
remove(int,int) - function in jline.util.matrix.Matrix: Removes a specific element from the matrix at the given row and column.
remove(int) - function in jline.util.matrix.MatrixCell: Removes the matrix at the specified index.
removeActivity(int) - function in jline.lang.layered.Task
removeActivity(int) - function in jline.lang.layered.Task
removeArrivalProcess(jline.lang.JobClass) - function in jline.lang.nodes.Source: Removes the arrival process for a specific job class.
removeCols(java.util.Collection) - function in jline.util.matrix.Matrix: Removes the specified columns from the matrix.
removeConnection(org.java_websocket.WebSocket) - function in org.java_websocket.server.WebSocketServer
removeDirectory(java.nio.file.Path) - function in jline.io.SysUtilsKt: Recursively deletes a directory and its contents.
removeHeader(java.lang.String) - function in org.java_websocket.client.WebSocketClient
removeInfinite() - function in jline.util.matrix.Matrix: Replaces all infinite values (positive or negative) in the matrix with 0.
removeInfinity() - function in jline.util.matrix.Matrix: Removes all infinite values (positive or negative) from the sparse matrix structure.
removeNaN() - function in jline.util.matrix.Matrix: Removes all NaN values from the matrix structure.
removeNegative() - function in jline.util.matrix.Matrix: Removes all negative values from the matrix structure.
removeNull() - function in jline.util.matrix.MatrixCell: Removes all null matrices from the collection.
removeRows(kotlin.Array,jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix
removeRows(java.util.Collection) - function in jline.util.matrix.Matrix: Removes the specified rows from the matrix.
removeServiceProcess(jline.lang.JobClass) - function in jline.lang.sections.RandomSource
removeServiceProcess(jline.lang.JobClass) - function in jline.lang.sections.ServiceSection
removeServiceProcess(jline.lang.JobClass) - function in jline.lang.sections.ServiceSection
removeTask(jline.lang.layered.Task) - function in jline.lang.layered.Host
removeTask(jline.lang.layered.Task) - function in jline.lang.layered.Host
removeTrailingNewLine(java.lang.String) - function in jline.util.matrix.Matrix
removeZeros() - function in jline.util.matrix.BaseMatrix: Removes zero-valued elements from the matrix with default tolerance.
removeZeros() - function in jline.util.matrix.DenseMatrix: Removes zero-valued elements from the matrix with default tolerance.
removeZeros(double) - function in jline.util.matrix.Matrix: Removes values from the matrix that are equal to the specified value.
removeZeros() - function in jline.util.matrix.SparseMatrix: Removes zero-valued elements from the sparse matrix with default tolerance.
removeZerosWithTol(double) - function in jline.util.matrix.BaseMatrix: Removes zero-valued elements from the matrix with specified tolerance.
removeZerosWithTol(double) - function in jline.util.matrix.DenseMatrix: Removes zero-valued elements from the matrix with specified tolerance.
removeZerosWithTol(double) - function in jline.util.matrix.SparseMatrix: Removes zero-valued elements from the matrix with specified tolerance.
removeZerosWithTolStatic(org.ejml.data.DMatrix,double) - function in jline.util.matrix.SparseMatrix
RENEGING - enum entry in jline.lang.constant.PatienceType: Reneging - customer abandons the queue after waiting too long. This is the standard "impatience" where a job joins the queue but leaves before service if its patience time expires. Currently supported by JMT solver.
renv_fourstages_repairmen() - function in jline.examples.java.advanced.RandomEnvExamples: Demonstrates a random environment model with four stages (renv_fourstages_repairmen.ipynb).
renv_fourstages_repairmen() - function in jline.examples.java.advanced.RandomEnvironmentModel: Complex random environment model with 4 stages and 3 stations.
renv_threestages_repairmen() - function in jline.examples.java.advanced.RandomEnvExamples: Demonstrates a random environment model with three stages (renv_threestages_repairmen.ipynb).
renv_threestages_repairmen() - function in jline.examples.java.advanced.RandomEnvironmentModel: Random environment model with circular transition structure.
renv_twostages_repairmen() - function in jline.examples.java.advanced.RandomEnvExamples: Demonstrates a random environment model with two stages (renv_twostages_repairmen.ipynb).
renv_twostages_repairmen() - function in jline.examples.java.advanced.RandomEnvironmentModel: Basic random environment model with 2 stages and 2 stations.
RenvEvent - class in jline.solvers.env
REPL - class in jline.io: REPL (Read-Eval-Print Loop) for LINE solver Provides an interactive environment to define models and execute solvers
replace(double,double) - function in jline.util.matrix.Matrix: Replaces all occurrences of a specific value with a new value in the matrix.
ReplacementStrategy - class in jline.lang.constant: Constants for specifying a cache replacement strategy
REPLAYER - enum entry in jline.lang.constant.ProcessType
Replayer - class in jline.lang.processes: A distribution that replays empirical data values from trace files.
ReplayerNodeParam - class in jline.lang.nodeparam: Parameter container for replayer nodes in queueing networks.
repliesTo(jline.lang.layered.Entry) - function in jline.lang.layered.Activity
REPLY - enum entry in jline.lang.constant.SignalType
repmat(int,int) - function in jline.util.matrix.Matrix: Repeats the matrix to match the specified row and column replication.
ReServiceOnRejection - enum entry in jline.lang.constant.DropStrategy
reset(jline.lang.processes.Markovian,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Environment.ResetEnvRatesFunction
reset(jline.util.matrix.Matrix) - function in jline.lang.Environment.ResetQueueLengthsFunction
reset() - function in jline.lang.Network
reset(boolean) - function in jline.lang.Network
reset(boolean) - function in jline.lang.layered.LayeredNetwork: Resets the layered network to its initial state.
reset() - function in jline.lang.nodes.Cache: Resets the internal data structures when the network model is reset.
reset() - function in jline.lang.nodes.Node: Resets the internal state of this node.
reset() - function in jline.lang.nodes.Node: Resets the internal state of this node.
reset() - function in jline.solvers.Solver: Clears previously stored results and resets the random number generator.
reset() - function in jline.solvers.Solver: Clears previously stored results and resets the random number generator.
reset() - function in jline.solvers.SolverResult: Resets all stored results to null and runtime to zero.
reset() - function in jline.solvers.SolverResult: Resets all stored results to null and runtime to zero.
reset() - function in jline.streaming.MockOtlpReceiver: Clears all received data.
reset() - function in jline.util.RandomManager: Resets all random number generators to use the current master seed.
resetHandles() - function in jline.lang.Network
resetModel(boolean) - function in jline.lang.Network
resetNetwork() - function in jline.lang.Network
resetNetwork(boolean) - function in jline.lang.Network: Resets the topology of the current network
resetRandomGeneratorSeed(long) - function in jline.solvers.Solver: Assigns a new seed to the random number generator.
resetRandomGeneratorSeed(long) - function in jline.solvers.Solver: Assigns a new seed to the random number generator.
resetRouting() - function in jline.lang.nodes.Node: Resets all routing configurations for this node.
resetRouting() - function in jline.lang.nodes.Node: Resets all routing configurations for this node.
resetRouting() - function in jline.lang.sections.OutputSection
resetRouting() - function in jline.lang.sections.OutputSection
resetStateSpace() - function in jline.lang.nodes.StatefulNode
resetStateSpace() - function in jline.lang.nodes.StatefulNode
resetStruct() - function in jline.lang.Network: Resets the struct of a given network
reshape(int,int) - function in jline.util.matrix.BaseMatrix: Reshapes the matrix to the specified dimensions.
reshape(int,int) - function in jline.util.matrix.DenseMatrix: Reshapes the matrix to the specified dimensions.
reshape(int,int) - function in jline.util.matrix.Matrix: Reshapes the matrix to the specified number of rows and columns.
reshape(int,int,int) - function in jline.util.matrix.Matrix: Reshapes the matrix with new dimensions and internal storage length.
reshape(int,int) - function in jline.util.matrix.SparseMatrix: Reshapes the matrix to the specified dimensions.
ResidT - enum entry in jline.lang.constant.MetricType
resolveClassSwitches() - function in jline.lang.RoutingMatrix
resolveUnappliedConnections() - function in jline.lang.RoutingMatrix
responseTime(int,int,double,long) - function in jline.streaming.SSAMetricPoint: Create a response time metric point.
responseTime(int,int,java.lang.String,java.lang.String,double,long) - function in jline.streaming.SSAMetricPoint: Create a response time metric point with station/class names.
RespT - enum entry in jline.lang.constant.MetricType
RespTSink - enum entry in jline.lang.constant.MetricType
ResultCTMC - class in jline.solvers.ctmc
ResultCTMCMargAggr - class in jline.solvers.ctmc: Result class for CTMC Marginal Aggregated solver.
Ret - class in jline.io: Container class for return types used throughout the LINE queueing network solver library.
Ret.ActionMapEntry - class in jline.io.Ret: Entry for the action map in snToAG.
Ret.afterEventHashedOrAddResult - class in jline.io.Ret: Result class for afterEventHashedOrAdd method
Ret.cacheGamma - class in jline.io.Ret: Represents the return type for the cache gamma linear program computations.
Ret.cacheIs - class in jline.io.Ret: Represents the return type for cache importance sampling method.
Ret.cacheMissRayInt - class in jline.io.Ret
Ret.cacheMissSpm - class in jline.io.Ret: Represents the return type for cache miss rate computations with the SPM method.
Ret.cacheMVA - class in jline.io.Ret: Represents the return type for the cache MVA (Mean Value Analysis) computations.
Ret.cacheRayInt - class in jline.io.Ret
Ret.cacheSpm - class in jline.io.Ret: Represents the return type for cache ray method.
Ret.cacheXiFp - class in jline.io.Ret: Result type for the cache characteristic time (xi) fixed-point algorithm.
Ret.ctmcSimulation - class in jline.io.Ret
Ret.DistributionResult - class in jline.io.Ret: Unified result type for distribution computations in queueing network solvers.
Ret.Eigs - class in jline.io.Ret
Ret.EventResult - class in jline.io.Ret: Result type for event-based state space exploration functions.
Ret.FJApprox - class in jline.io.Ret
Ret.FJAuxClassKey - class in jline.io.Ret
Ret.FJsortForks - class in jline.io.Ret
Ret.getHashOrAddResult - class in jline.io.Ret: Result class for getHashOrAdd method
Ret.LinearizerResult - class in jline.io.Ret: Unified result type for linearizer approximation methods.
Ret.lossnErlangFP - class in jline.io.Ret: Constructs a lossnErlangFPReturn object with the specified queue-length, loss probability, blocking probability, and iteration count.
Ret.mamAPH2Fit - class in jline.io.Ret: Class representing the return type for the fitting of a 2-phase APH (Acyclic Phase-Type) distribution.
Ret.mamMAPFitReturn - class in jline.io.Ret: A class to represent the return type of the map2_fit function, holding the transition matrices and possibly other fitting results.
Ret.mamMMAPMixtureFit - class in jline.io.Ret: Class representing the return type for fitting a mixture model to a MMAP.
Ret.mamMMAPSample - class in jline.io.Ret: Constructor initializing the sample data, number of types, and type indices.
Ret.npfqnNonexpApprox - class in jline.io.Ret: Data structure to return the results of non-product-form queueing network approximation.
Ret.pfqnAB - class in jline.io.Ret: Result type for the Akyildiz-Bolch (A/B) linearizer method for load-dependent multi-server BCMP networks.
Ret.pfqnAMVA - class in jline.io.Ret: Data structure for storing results from the AMVA (Approximate Mean Value Analysis) method.
Ret.pfqnAMVAMS - class in jline.io.Ret: Data structure for storing results from the AMVA MS (Approximate Mean Value Analysis Multiservice) method.
Ret.pfqnAMVASchmidt - class in jline.io.Ret: Result type for the Schmidt AMVA algorithm.
Ret.pfqnComomrm - class in jline.io.Ret: Data structure for storing results the COMOM method.
Ret.pfqnComomrmLd - class in jline.io.Ret: Data structure for storing results from the load-dependent COMOM method.
Ret.pfqnCUB - class in jline.io.Ret: Function class for the integrand used in cubature calculations.
Ret.pfqnEstimate - class in jline.io.Ret: Data structure for storing linearizer estimtate results from a queueing network analysis.
Ret.pfqnFnc - class in jline.io.Ret: Data structure for storing results from a FNC (Fitting Normalizing Constants) calculation.
Ret.pfqnGldIndex - class in jline.io.Ret: Index key for caching intermediate results in the pfqn_gld (Generalized Local Balance) algorithm.
Ret.pfqnHarelBounds - class in jline.io.Ret: Result type for Harel et al.
Ret.pfqnLeFpi - class in jline.io.Ret: Data structure for storing results from a fixed-point iteration method.
Ret.pfqnLeFpiZ - class in jline.io.Ret: Data structure for storing results from a fixed-point iteration method with normalization.
Ret.pfqnLinearizerEstimate - class in jline.io.Ret: Data structure for storing intermediate estimates from the linearizer method.
Ret.pfqnLinearizerMSEstimate - class in jline.io.Ret: Data structure for storing estimated intermediate results from the MS linearizer method.
Ret.pfqnMom - class in jline.io.Ret: Result type for the Method of Moments (MoM) exact algorithm.
Ret.pfqnMVA - class in jline.io.Ret: Result type for the MVA (Mean Value Analysis) algorithm.
Ret.pfqnMVALD - class in jline.io.Ret: Data structure for storing results from an MVA computation using the LD method.
Ret.pfqnMVALDMX - class in jline.io.Ret: Extended result type for MVA with load-dependent stations and additional metrics.
Ret.pfqnMVALDMXEC - class in jline.io.Ret: Data structure to hold extended results from the MVA computation, particularly focusing on error corrections.
Ret.pfqnNc - class in jline.io.Ret: Result type for normalizing constant computations in product-form queueing networks.
Ret.pfqnNcComplex - class in jline.io.Ret: Data structure for storing complex results from a normalizing constant calculation.
Ret.pfqnNcSanitize - class in jline.io.Ret: Data structure for storing sanitized input parameters for a normalizing constant calculation.
Ret.pfqnNcXQ - class in jline.io.Ret: Data structure for storing results from a normalizing constant calculation involving throughputs and queue lengths.
Ret.pfqnProcomom2 - class in jline.io.Ret: Data structure for storing results from the procomom2 method.
Ret.pfqnRd - class in jline.io.Ret: Data structure for storing results from the RD method.
Ret.pfqnSchmidt - class in jline.io.Ret: Result type for the Schmidt method for load-dependent MVA with multi-server stations.
Ret.ProbabilityResult - class in jline.io.Ret: Unified result type for probability computations in queueing network solvers.
Ret.qsys - class in jline.io.Ret: A class to store the results of queueing system analysis.
Ret.qsys_prio - class in jline.io.Ret: Return type for multi-class queueing system analysis with priorities.
Ret.reachableSpaceGeneratorResult - class in jline.io.Ret: Result class for reachableSpaceGenerator method
Ret.SampleResult - class in jline.io.Ret: Unified result type for sampling and simulation in queueing network solvers.
Ret.snDeaggregateChainResults - class in jline.io.Ret: A return type for the snDeaggregateChainResults method, encapsulating multiple chain-related matrix results.
Ret.snGetDemands - class in jline.io.Ret: A unified return type for demand-related methods, supporting both simple demands (D, Z) and comprehensive chain demands with optional chain-specific parameters.
Ret.snGetProductFormParams - class in jline.io.Ret: A unified return type for methods returning product form parameters.
Ret.snToAG - class in jline.io.Ret: Result type for the snToAG conversion.
Ret.SpectralDecomposition - class in jline.io.Ret
Ret.SVD - class in jline.io.Ret: Result class for SVD (Singular Value Decomposition)
returnPer(jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.DoubleArray) - function in jline.lib.fjcodes.ReturnPerKt: Extract percentiles from a Phase-Type (PH) distributionUses uniformization-based CDF computation to find response time percentiles.
ReturnPerKt - class in jline.lib.fjcodes
returnRT1(jline.lib.fjcodes.FJArrival,jline.lib.fjcodes.FJService,kotlin.DoubleArray) - function in jline.lib.fjcodes.ReturnRT1Kt: Compute response time percentiles for K=1 Fork-Join queueFor the K=1 case, this reduces to a standard MAP/PH/1 queue.
ReturnRT1Kt - class in jline.lib.fjcodes
returnRT2(jline.lib.fjcodes.FJArrival,jline.lib.fjcodes.FJService,kotlin.DoubleArray,java.lang.Integer,java.lang.String) - function in jline.lib.fjcodes.ReturnRT2Kt: Compute response time percentiles for K=2 Fork-Join queueCombines waiting time and service time distributions to compute response time percentiles for a 2-node Fork-Join system.
ReturnRT2Kt - class in jline.lib.fjcodes
returnWait(java.lang.Double,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lib.fjcodes.ReturnWaitKt: Compute Phase-Type representation of stationary waiting timeCalculates the phase-type representation of the stationary waiting time for a K-node Fork-Join queue.
ReturnWaitKt - class in jline.lib.fjcodes
ReturnWaitResult - class in jline.lib.fjcodes: Result of returnWait
reverse() - function in jline.util.matrix.Matrix: Reverses the elements of a vector (row or column) matrix.
reverseRows() - function in jline.util.matrix.Matrix: Reverses the order of rows in the matrix.
RewardFunction - class in jline.lang.reward: Functional interface for defining reward functions on CTMC states.
RewardResult - class in jline.solvers.ctmc.analyzers: Result class for CTMC reward computation via value iteration.
rightMatrixDivide(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix: Performs right matrix division A / B = A * inv(B)
RL - enum entry in jline.lang.constant.RoutingStrategy: Reinforcement Learning - adaptive routing based on learned policies
roots(kotlin.Array) - function in jline.util.Maths
roots(jline.util.matrix.Matrix) - function in jline.util.Maths
Router - enum entry in jline.lang.constant.NodeType: Router node - directs jobs without service time
Router - class in jline.lang.nodes: A node that routes jobs without imposing any delay
RoutingMatrix - class in jline.lang: Class representing a probabilistic routing matrix
RoutingStrategy - class in jline.lang.constant: Enumeration of routing strategies that determine how jobs are dispatched to downstream stations.
rowIncrease(int,double) - function in jline.util.matrix.Matrix: Increases all elements in the specified row by a scalar value.
RowView - class in jline.util.matrix: A lightweight view into a row of a sparse matrix that doesn't copy data.
RR - enum entry in jline.lang.constant.ReplacementStrategy
RR - enum entry in jline.lib.butools.mam.GM1Method
RR - enum entry in jline.lib.butools.mam.MG1Method
RROBIN - enum entry in jline.lang.constant.RoutingStrategy: Round Robin - destinations visited in cyclic order
run() - function in org.java_websocket.client.WebSocketClient
run() - function in org.java_websocket.server.WebSocketServer
runAll() - function in jline.bench.cqn.BenchCQN_RM: Run all repairmen benchmarks for both FCFS and PS scheduling
runAll() - function in jline.bench.fj.BenchFJ_Closed: Run all closed FJ benchmarks
runAll() - function in jline.bench.fj.BenchFJ_FCFS: Run all FCFS benchmarks
runAll() - function in jline.bench.fj.BenchFJ_Mixed: Run all mixed FJ benchmarks
runAll() - function in jline.bench.fj.BenchFJ_Nested: Run all nested FJ benchmarks
runAll() - function in jline.bench.fj.BenchFJ_Open: Run all open FJ benchmarks
runAll() - function in jline.bench.fj.BenchFJ_PS: Run all PS benchmarks
runAll() - function in jline.bench.lqn.BenchLQN_Custom: Run all LQN benchmarks with Custom solver
runAll() - function in jline.bench.lqn.BenchLQN_Default: Run all LQN benchmarks with Default solver
runAll() - function in jline.bench.lqn.BenchLQN_Fluid: Run all LQN benchmarks with Fluid solver
runAll() - function in jline.bench.lqn.BenchLQN_LQNS: Run all LQN benchmarks with LQNS solver
runAll() - function in jline.bench.lqn.BenchLQN_MVA: Run all LQN benchmarks with MVA solver
runAll() - function in jline.bench.lqn.BenchLQN_NC: Run all LQN benchmarks with NC solver
runAll() - function in jline.bench.lqn.BenchLQN_SRVN: Run all LQN benchmarks with SRVN solver
runAll() - function in jline.bench.lqn.SimpleLQNBenchmark: Run all LQN benchmarks
runAll() - function in jline.bench.mqn.BenchMQN_FCFS: Run all FCFS benchmarks
runAll() - function in jline.bench.mqn.BenchMQN_PS: Run all PS benchmarks
runAll() - function in jline.bench.oqn.BenchOQN_FCFS: Run all FCFS benchmarks
runAll() - function in jline.bench.oqn.BenchOQN_PS: Run all PS benchmarks
runAnalyzer() - function in jline.solvers.Solver: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.Solver: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.auto.SolverAUTO: Override the main run method to ensure proper delegation
runAnalyzer() - function in jline.solvers.auto.SolverAUTO: Override the main run method to ensure proper delegation
runAnalyzer() - function in jline.solvers.ctmc.SolverCTMC: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.ctmc.SolverCTMC: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.des.SolverDES: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.des.SolverDES: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.env.SolverENV: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.env.SolverENV: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.fluid.SolverFluid: Runs the fluid analyzer to solve the queueing network.
runAnalyzer() - function in jline.solvers.fluid.SolverFluid: Runs the fluid analyzer to solve the queueing network.
runAnalyzer() - function in jline.solvers.jmt.SolverJMT: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.jmt.SolverJMT: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.ln.SolverLN: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.ln.SolverLN: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.lqns.SolverLQNS: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.lqns.SolverLQNS: Executes the solver algorithm to analyze the model.
runAnalyzer(jline.solvers.SolverOptions) - function in jline.solvers.lqns.SolverLQNS
runAnalyzer(jline.solvers.SolverOptions) - function in jline.solvers.lqns.SolverLQNS
runAnalyzer() - function in jline.solvers.mam.SolverMAM: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.mam.SolverMAM: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.mva.SolverMVA: Runs the MVA analyzer to solve the queueing network.
runAnalyzer() - function in jline.solvers.mva.SolverMVA: Runs the MVA analyzer to solve the queueing network.
runAnalyzer(jline.solvers.SolverAvgHandles) - function in jline.solvers.mva.handlers.MVARunner: runAnalyzer() method from LINE.
runAnalyzer() - function in jline.solvers.nc.SolverNC: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.nc.SolverNC: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.posterior.SolverPosterior: Runs the posterior analysis.
runAnalyzer() - function in jline.solvers.qns.SolverQNS: Run the analyzer for the QNS solver
runAnalyzer() - function in jline.solvers.qns.SolverQNS: Run the analyzer for the QNS solver
runAnalyzer() - function in jline.solvers.qns.analyzers.Solver_qns_analyzer: Run the QNS analyzer
runAnalyzer() - function in jline.solvers.ssa.SolverSSA: Executes the solver algorithm to analyze the model.
runAnalyzer() - function in jline.solvers.ssa.SolverSSA: Executes the solver algorithm to analyze the model.
runAnalyzerByCTMC() - function in jline.solvers.env.SolverENV
runAnalyzerByCTMC() - function in jline.solvers.env.SolverENV
runAnalyzerChecks(jline.solvers.SolverOptions) - function in jline.solvers.NetworkSolver: Validates model compatibility and method support before analysis.
runAnalyzerChecks(jline.solvers.SolverOptions) - function in jline.solvers.NetworkSolver: Validates model compatibility and method support before analysis.
runAnalyzerChecks(jline.solvers.SolverOptions) - function in jline.solvers.Solver: Performs validation checks before running the analyzer.
runAnalyzerChecks(jline.solvers.SolverOptions) - function in jline.solvers.Solver: Performs validation checks before running the analyzer.
runAnalyzerChecks(jline.solvers.SolverOptions) - function in jline.solvers.fluid.SolverFluid: Validates model compatibility and method support before analysis
runAnalyzerChecks(jline.solvers.SolverOptions) - function in jline.solvers.fluid.SolverFluid: Validates model compatibility and method support before analysis
runBenchmark(java.lang.String,int,int,int,int,boolean,boolean) - function in jline.bench.cqn.BenchCQNTemplate: Core benchmark implementation template
runBenchmark(java.lang.String,int,int,int,int,boolean,boolean,jline.lang.constant.SchedStrategy) - function in jline.bench.cqn.BenchCQNTemplate: Core benchmark implementation template with explicit scheduling strategy
runBenchmark(java.lang.String,int,jline.lang.constant.SchedStrategy,jline.bench.fj.BenchFJ_Template.FJConfig,boolean,int) - function in jline.bench.fj.BenchFJ_Template: Core benchmark implementation
runBenchmark(java.lang.String,int,double,int,jline.lang.constant.SchedStrategy) - function in jline.bench.mqn.BenchMQNTemplate: Run a standard MQN benchmark (1 open + 1 closed class)
runBenchmark(java.lang.String,int,double,jline.lang.constant.SchedStrategy) - function in jline.bench.oqn.BenchOQNTemplate: Run a single-class OQN benchmark
runConfiguration(int,int,int,int,java.lang.String) - function in jline.bench.lqn.BenchLQN_Custom: Run benchmarks for a specific configuration with Custom solver
runConfiguration(int,int,int,int,java.lang.String) - function in jline.bench.lqn.BenchLQN_Default: Run benchmarks for a specific configuration with Default solver
runConfiguration(int,int,int,int,java.lang.String) - function in jline.bench.lqn.BenchLQN_Fluid: Run benchmarks for a specific configuration with Fluid solver
runConfiguration(int,int,int,int,java.lang.String) - function in jline.bench.lqn.BenchLQN_LQNS: Run benchmarks for a specific configuration with LQNS solver
runConfiguration(int,int,int,int,java.lang.String) - function in jline.bench.lqn.BenchLQN_MVA: Run benchmarks for a specific configuration with MVA solver
runConfiguration(int,int,int,int,java.lang.String) - function in jline.bench.lqn.BenchLQN_NC: Run benchmarks for a specific configuration with NC solver
runConfiguration(int,int,int,int,java.lang.String) - function in jline.bench.lqn.BenchLQN_SRVN: Run benchmarks for a specific configuration with SRVN solver
runConfiguration(int,int,int,int,java.lang.String) - function in jline.bench.lqn.SimpleLQNBenchmark: Run benchmarks for a specific configuration
runFCFSBenchmarks() - function in jline.bench.cqn.BenchCQN_RM: Run only FCFS repairmen benchmarks
runFCFSOnly() - function in jline.bench.cqn.BenchCQN_RM: Run FCFS repairmen benchmarks only, with immediate formatted output
runHeterogeneousFCFS() - function in jline.bench.fj.BenchFJ_Closed: Run heterogeneous FCFS benchmarks
runHeterogeneousFCFS() - function in jline.bench.fj.BenchFJ_Mixed: Run heterogeneous FCFS benchmarks
runHeterogeneousFCFS() - function in jline.bench.fj.BenchFJ_Open: Run heterogeneous FCFS benchmarks
runHeterogeneousPS() - function in jline.bench.fj.BenchFJ_Closed: Run heterogeneous PS benchmarks
runHeterogeneousPS() - function in jline.bench.fj.BenchFJ_Mixed: Run heterogeneous PS benchmarks
runHeterogeneousPS() - function in jline.bench.fj.BenchFJ_Open: Run heterogeneous PS benchmarks
runHicvHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 High CV High Load benchmark
runHicvHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 High CV High Load benchmark
runHicvHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 High CV High Load benchmark
runHicvHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 High CV High Load benchmark
runHicvLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 High CV Light Load benchmark
runHicvLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 High CV Light Load benchmark
runHicvLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 High CV Light Load benchmark
runHicvLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 High CV Light Load benchmark
runHicvMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 High CV Mid Load benchmark
runHicvMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 High CV Mid Load benchmark
runHicvMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 High CV Mid Load benchmark
runHicvMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 High CV Mid Load benchmark
runHighLoad() - function in jline.bench.cqn.BenchCQN_FCFS
runHighLoad(int) - function in jline.bench.cqn.BenchCQN_FCFS
runHighLoad() - function in jline.bench.cqn.BenchCQN_PS
runHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS
runHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 High Load benchmark
runHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 High Load benchmark
runHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 High Load benchmark
runHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 High Load benchmark
runHighLoad() - function in jline.bench.fj.BenchFJ_FCFS
runHighLoad() - function in jline.bench.mqn.BenchMQN_FCFS
runHighLoad(int) - function in jline.bench.mqn.BenchMQN_FCFS
runHighLoad() - function in jline.bench.mqn.BenchMQN_PS
runHighLoad(int) - function in jline.bench.mqn.BenchMQN_PS
runHighLoad() - function in jline.bench.oqn.BenchOQN_FCFS
runHighLoad(int) - function in jline.bench.oqn.BenchOQN_FCFS
runHighLoad() - function in jline.bench.oqn.BenchOQN_PS
runHighLoad(int) - function in jline.bench.oqn.BenchOQN_PS
runHighPopBenchmark(java.lang.String,int,double,int,jline.lang.constant.SchedStrategy) - function in jline.bench.mqn.BenchMQNTemplate: Run MQN benchmark with higher closed population
runHipopHighLoad() - function in jline.bench.mqn.BenchMQN_FCFS
runHipopHighLoad(int) - function in jline.bench.mqn.BenchMQN_FCFS
runHipopHighLoad() - function in jline.bench.mqn.BenchMQN_PS
runHipopHighLoad(int) - function in jline.bench.mqn.BenchMQN_PS
runHipopLightLoad() - function in jline.bench.mqn.BenchMQN_FCFS
runHipopLightLoad(int) - function in jline.bench.mqn.BenchMQN_FCFS
runHipopLightLoad() - function in jline.bench.mqn.BenchMQN_PS
runHipopLightLoad(int) - function in jline.bench.mqn.BenchMQN_PS
runHipopMidLoad() - function in jline.bench.mqn.BenchMQN_FCFS
runHipopMidLoad(int) - function in jline.bench.mqn.BenchMQN_FCFS
runHipopMidLoad() - function in jline.bench.mqn.BenchMQN_PS
runHipopMidLoad(int) - function in jline.bench.mqn.BenchMQN_PS
runHomogeneousFCFS() - function in jline.bench.fj.BenchFJ_Closed: Run homogeneous FCFS benchmarks
runHomogeneousFCFS() - function in jline.bench.fj.BenchFJ_Mixed: Run homogeneous FCFS benchmarks
runHomogeneousFCFS() - function in jline.bench.fj.BenchFJ_Open: Run homogeneous FCFS benchmarks
runHomogeneousPS() - function in jline.bench.fj.BenchFJ_Closed: Run homogeneous PS benchmarks
runHomogeneousPS() - function in jline.bench.fj.BenchFJ_Mixed: Run homogeneous PS benchmarks
runHomogeneousPS() - function in jline.bench.fj.BenchFJ_Open: Run homogeneous PS benchmarks
runLightLoad() - function in jline.bench.cqn.BenchCQN_FCFS
runLightLoad(int) - function in jline.bench.cqn.BenchCQN_FCFS
runLightLoad() - function in jline.bench.cqn.BenchCQN_PS
runLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS
runLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 Light Load benchmark
runLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 Light Load benchmark
runLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 Light Load benchmark
runLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 Light Load benchmark
runLightLoad() - function in jline.bench.fj.BenchFJ_FCFS
runLightLoad() - function in jline.bench.mqn.BenchMQN_FCFS
runLightLoad(int) - function in jline.bench.mqn.BenchMQN_FCFS
runLightLoad() - function in jline.bench.mqn.BenchMQN_PS
runLightLoad(int) - function in jline.bench.mqn.BenchMQN_PS
runLightLoad() - function in jline.bench.oqn.BenchOQN_FCFS
runLightLoad(int) - function in jline.bench.oqn.BenchOQN_FCFS
runLightLoad() - function in jline.bench.oqn.BenchOQN_PS
runLightLoad(int) - function in jline.bench.oqn.BenchOQN_PS
runMc2HicvHighLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc2HicvHighLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc2HicvLightLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc2HicvLightLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc2HicvMidLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc2HicvMidLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc2HighLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc2HighLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc2LightLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc2LightLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc2MidLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc2MidLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc3HicvHighLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc3HicvHighLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc3HicvLightLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc3HicvLightLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc3HicvMidLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc3HicvMidLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc3HighLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc3HighLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc3LightLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc3LightLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc3MidLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc3MidLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc4HicvHighLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc4HicvHighLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc4HicvLightLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc4HicvLightLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc4HicvMidLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc4HicvMidLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc4HighLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc4HighLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc4LightLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc4LightLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMc4MidLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMc4MidLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMcHicvHighLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMcHicvHighLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMcHicvLightLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMcHicvLightLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMcHicvMidLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMcHicvMidLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMcHighLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMcHighLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMcLightLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMcLightLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMcMidLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runMcMidLoad(int) - function in jline.bench.fj.BenchFJ_PS
runMethodSpecificAnalyzer() - function in jline.solvers.des.SolverDES: Run the DES analyzer with current options including init_sol.
runMethodSpecificAnalyzer() - function in jline.solvers.des.SolverDES: Run the DES analyzer with current options including init_sol.
runMethodSpecificAnalyzer() - function in jline.solvers.fluid.SolverFluid
runMethodSpecificAnalyzer() - function in jline.solvers.fluid.SolverFluid
runMidLoad() - function in jline.bench.cqn.BenchCQN_FCFS
runMidLoad(int) - function in jline.bench.cqn.BenchCQN_FCFS
runMidLoad() - function in jline.bench.cqn.BenchCQN_PS
runMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS
runMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 Mid Load benchmark
runMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 Mid Load benchmark
runMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 Mid Load benchmark
runMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 Mid Load benchmark
runMidLoad() - function in jline.bench.fj.BenchFJ_FCFS
runMidLoad() - function in jline.bench.mqn.BenchMQN_FCFS
runMidLoad(int) - function in jline.bench.mqn.BenchMQN_FCFS
runMidLoad() - function in jline.bench.mqn.BenchMQN_PS
runMidLoad(int) - function in jline.bench.mqn.BenchMQN_PS
runMidLoad() - function in jline.bench.oqn.BenchOQN_FCFS
runMidLoad(int) - function in jline.bench.oqn.BenchOQN_FCFS
runMidLoad() - function in jline.bench.oqn.BenchOQN_PS
runMidLoad(int) - function in jline.bench.oqn.BenchOQN_PS
runModel(java.lang.String,jline.lang.constant.SolverType,double,int) - function in jline.bench.lqn.BenchLQN_Custom: Run a single LQN model with Custom solver configuration
runModel(java.lang.String) - function in jline.bench.lqn.BenchLQN_Default: Run a single LQN model with Default solver
runModel(java.lang.String) - function in jline.bench.lqn.BenchLQN_Fluid: Run a single LQN model with Fluid solver
runModel(java.lang.String) - function in jline.bench.lqn.BenchLQN_LQNS: Run a single LQN model with LQNS solver
runModel(java.lang.String) - function in jline.bench.lqn.BenchLQN_MVA: Run a single LQN model with MVA solver
runModel(java.lang.String) - function in jline.bench.lqn.BenchLQN_NC: Run a single LQN model with NC solver
runModel(java.lang.String) - function in jline.bench.lqn.BenchLQN_SRVN: Run a single LQN model with SRVN solver
runModel(java.lang.String,jline.lang.constant.SolverType) - function in jline.bench.lqn.SimpleLQNBenchmark: Run a single LQN model with a specific solver
runMulticlassBenchmark(java.lang.String,int,double,double,jline.lang.constant.SchedStrategy) - function in jline.bench.oqn.BenchOQNTemplate: Run a multiclass OQN benchmark
runMulticlassHighLoad() - function in jline.bench.oqn.BenchOQN_FCFS
runMulticlassHighLoad(int) - function in jline.bench.oqn.BenchOQN_FCFS
runMulticlassHighLoad() - function in jline.bench.oqn.BenchOQN_PS
runMulticlassHighLoad(int) - function in jline.bench.oqn.BenchOQN_PS
runMulticlassLightLoad() - function in jline.bench.oqn.BenchOQN_FCFS
runMulticlassLightLoad(int) - function in jline.bench.oqn.BenchOQN_FCFS
runMulticlassLightLoad() - function in jline.bench.oqn.BenchOQN_PS
runMulticlassLightLoad(int) - function in jline.bench.oqn.BenchOQN_PS
runMulticlassMidLoad() - function in jline.bench.oqn.BenchOQN_FCFS
runMulticlassMidLoad(int) - function in jline.bench.oqn.BenchOQN_FCFS
runMulticlassMidLoad() - function in jline.bench.oqn.BenchOQN_PS
runMulticlassMidLoad(int) - function in jline.bench.oqn.BenchOQN_PS
runMultiserverHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 Multiserver High Load benchmark
runMultiserverHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 Multiserver High Load benchmark
runMultiserverHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 Multiserver High Load benchmark
runMultiserverHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 Multiserver High Load benchmark
runMultiserverLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 Multiserver Light Load benchmark
runMultiserverLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 Multiserver Light Load benchmark
runMultiserverLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 Multiserver Light Load benchmark
runMultiserverLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 Multiserver Light Load benchmark
runMultiserverMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 Multiserver Mid Load benchmark
runMultiserverMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 Multiserver Mid Load benchmark
runMultiserverMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 Multiserver Mid Load benchmark
runMultiserverMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 Multiserver Mid Load benchmark
runNestedClosedFCFS() - function in jline.bench.fj.BenchFJ_Nested: Run nested closed FCFS benchmarks
runNestedClosedPS() - function in jline.bench.fj.BenchFJ_Nested: Run nested closed PS benchmarks
runNestedMixedFCFS() - function in jline.bench.fj.BenchFJ_Nested: Run nested mixed FCFS benchmarks
runNestedMixedPS() - function in jline.bench.fj.BenchFJ_Nested: Run nested mixed PS benchmarks
runNestedOpenFCFS() - function in jline.bench.fj.BenchFJ_Nested: Run nested open FCFS benchmarks
runNestedOpenPS() - function in jline.bench.fj.BenchFJ_Nested: Run nested open PS benchmarks
runPSBenchmarks() - function in jline.bench.cqn.BenchCQN_RM: Run only PS repairmen benchmarks
runPSOnly() - function in jline.bench.cqn.BenchCQN_RM: Run PS repairmen benchmarks only, with immediate formatted output
runRegressionTest(java.lang.String,java.util.List) - function in jline.bench.BenchmarkRegression: Run regression test for a benchmark suite
runRMBenchmarks() - function in jline.bench.cqn.BenchCQN_FCFS: Run only the repairmen (RM) benchmarks with formatted output
runRMBenchmarks() - function in jline.bench.cqn.BenchCQN_PS: Run only the repairmen (RM) benchmarks with formatted output
runRMHighLoad() - function in jline.bench.cqn.BenchCQN_FCFS: Run only RM high load benchmarks
runRMHighLoad() - function in jline.bench.cqn.BenchCQN_PS: Run only RM high load benchmarks
runRmHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 Random Mapping High Load benchmark
runRmHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 Random Mapping High Load benchmark
runRmHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 Random Mapping High Load benchmark
runRmHighLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 Random Mapping High Load benchmark
runRMLightLoad() - function in jline.bench.cqn.BenchCQN_FCFS: Run only RM light load benchmarks
runRMLightLoad() - function in jline.bench.cqn.BenchCQN_PS: Run only RM light load benchmarks
runRmLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 Random Mapping Light Load benchmark
runRmLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 Random Mapping Light Load benchmark
runRmLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 Random Mapping Light Load benchmark
runRmLightLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 Random Mapping Light Load benchmark
runRMMidLoad() - function in jline.bench.cqn.BenchCQN_FCFS: Run only RM mid load benchmarks
runRMMidLoad() - function in jline.bench.cqn.BenchCQN_PS: Run only RM mid load benchmarks
runRmMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS1: CQN PS1 Random Mapping Mid Load benchmark
runRmMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS2: CQN PS2 Random Mapping Mid Load benchmark
runRmMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS3: CQN PS3 Random Mapping Mid Load benchmark
runRmMidLoad(int) - function in jline.bench.cqn.BenchCQN_PS4: CQN PS4 Random Mapping Mid Load benchmark
runScHicvHighLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runScHicvHighLoad(int) - function in jline.bench.fj.BenchFJ_PS
runScHicvLightLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runScHicvLightLoad(int) - function in jline.bench.fj.BenchFJ_PS
runScHicvMidLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runScHicvMidLoad(int) - function in jline.bench.fj.BenchFJ_PS
runScHighLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runScHighLoad(int) - function in jline.bench.fj.BenchFJ_PS
runScLightLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runScLightLoad(int) - function in jline.bench.fj.BenchFJ_PS
runScMidLoad(int) - function in jline.bench.fj.BenchFJ_FCFS
runScMidLoad(int) - function in jline.bench.fj.BenchFJ_PS
runTandemBenchmark(java.lang.String,int,double,int,jline.lang.constant.SchedStrategy) - function in jline.bench.mqn.BenchMQNTemplate: Run a tandem MQN benchmark (longer chain)
runTandemBenchmark(java.lang.String,int,double,jline.lang.constant.SchedStrategy) - function in jline.bench.oqn.BenchOQNTemplate: Run a tandem OQN benchmark (longer chain)
runTandemHighLoad() - function in jline.bench.mqn.BenchMQN_FCFS
runTandemHighLoad(int) - function in jline.bench.mqn.BenchMQN_FCFS
runTandemHighLoad() - function in jline.bench.mqn.BenchMQN_PS
runTandemHighLoad(int) - function in jline.bench.mqn.BenchMQN_PS
runTandemHighLoad() - function in jline.bench.oqn.BenchOQN_FCFS
runTandemHighLoad(int) - function in jline.bench.oqn.BenchOQN_FCFS
runTandemHighLoad() - function in jline.bench.oqn.BenchOQN_PS
runTandemHighLoad(int) - function in jline.bench.oqn.BenchOQN_PS
runTandemLightLoad() - function in jline.bench.mqn.BenchMQN_FCFS
runTandemLightLoad(int) - function in jline.bench.mqn.BenchMQN_FCFS
runTandemLightLoad() - function in jline.bench.mqn.BenchMQN_PS
runTandemLightLoad(int) - function in jline.bench.mqn.BenchMQN_PS
runTandemLightLoad() - function in jline.bench.oqn.BenchOQN_FCFS
runTandemLightLoad(int) - function in jline.bench.oqn.BenchOQN_FCFS
runTandemLightLoad() - function in jline.bench.oqn.BenchOQN_PS
runTandemLightLoad(int) - function in jline.bench.oqn.BenchOQN_PS
runTandemMidLoad() - function in jline.bench.mqn.BenchMQN_FCFS
runTandemMidLoad(int) - function in jline.bench.mqn.BenchMQN_FCFS
runTandemMidLoad() - function in jline.bench.mqn.BenchMQN_PS
runTandemMidLoad(int) - function in jline.bench.mqn.BenchMQN_PS
runTandemMidLoad() - function in jline.bench.oqn.BenchOQN_FCFS
runTandemMidLoad(int) - function in jline.bench.oqn.BenchOQN_FCFS
runTandemMidLoad() - function in jline.bench.oqn.BenchOQN_PS
runTandemMidLoad(int) - function in jline.bench.oqn.BenchOQN_PS
RyzerPermanent - class in jline.lib.perm: Implementation of Ryzer's algorithm to calculate the permanent.

A B C D E F G H I J K L M N O P Q R S T U V W X Z