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- 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.lib.empht.EMpht.Companion
- random() - function in jline.util.ThreadLocalRandom
- Generates a random double value in [0.0, 1.0) using the thread-specific MersenneTwister.
- 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.
- randomMatlabStyle() - function in jline.util.Maths
- randomPhase(java.lang.Integer,kotlin.DoubleArray,kotlin.Array,kotlin.DoubleArray,kotlin.IntArray,kotlin.Array) - function in jline.lib.empht.EMpht.Companion
- 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.
- 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()
- 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.wkflow.Wkflow_auto_integration
- Perform workflow-aware solver selection.
- reconnect() - function in org.java_websocket.client.WebSocketClient
- reconnectBlocking() - function in org.java_websocket.client.WebSocketClient
- 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
- refreshGlobalSync() - 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
- 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
- RelatentropyKt - class in jline.api.measures
- Relatentropy algorithms
- releaseBuffers(org.java_websocket.WebSocket) - function in org.java_websocket.server.WebSocketServer
- relink(jline.lang.RoutingMatrix) - function in jline.lang.Network
- 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
- 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
- repmat(int,int) - function in jline.util.matrix.Matrix
- Repeats the matrix to match the specified row and column replication.
- reset() - function in jline.api.rl.RlEnv
- Reset the environment to initial state
- reset() - function in jline.api.rl.RlEnvGeneral
- Reset the environment to initial state
- reset(jline.api.rl.RlEnv) - function in jline.api.rl.RlTDAgent
- Reset the agent and environment to initial state
- reset(jline.api.rl.RlEnvGeneral) - function in jline.api.rl.RlTDAgentGeneral
- Reset the agent and environment to initial state
- reset(jline.lang.processes.Markovian,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Env.ResetEnvRatesFunction
- reset(jline.util.matrix.Matrix) - function in jline.lang.Env.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.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
- 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.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.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.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.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.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.SpectralDecomposition - class in jline.io.Ret
- 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.
- 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
- RlEnv - class in jline.api.rl
- Reinforcement Learning Environment for Queueing Networks Provides an interface for RL agents to interact with queueing network models
- RlEnvGeneral - class in jline.api.rl
- General Reinforcement Learning Environment for Queueing Networks Provides a more general interface for RL agents with configurable action spaces
- RlEnvGeneral.SampleResult - class in jline.api.rl.RlEnvGeneral
- Data class to hold sample results
- RlTDAgent - class in jline.api.rl
- Temporal Difference Learning Agent for Queueing Network Control Implements TD learning with tabular value and Q functions
- RlTDAgent.Companion - class in jline.api.rl.RlTDAgent
- RlTDAgentGeneral - class in jline.api.rl
- General Temporal Difference Learning Agent for Queueing Network Control Supports multiple value function approximation methods:
Tabular
HashMap-based
Linear function approximation
Quadratic function approximation
- RlTDAgentGeneral.Companion - class in jline.api.rl.RlTDAgentGeneral
- 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
- RROBIN - enum entry in jline.lang.constant.RoutingStrategy
Round Robin - destinations visited in cyclic order
- run(java.lang.String,java.lang.Integer,java.lang.Integer,java.lang.Integer,kotlin.IntArray,kotlin.IntArray) - function in kroqbd.KpcqbdQueuefittingRun.Companion
- Run KPC-QBD fitting with default parameters
- 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
- 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.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.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.lqns.SolverLQNS
- Executes the solver algorithm to analyze the model.
- 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.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.nn.SolverNN
- Executes the solver algorithm to analyze the model.
- 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.
- 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
- 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
- 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
- runExact(java.lang.String,java.lang.Integer,java.lang.Integer,java.lang.Integer,kotlin.IntArray) - function in kroqbd.KpcqbdQueuefittingRun.Companion
- Run exact QBD fitting (without KPC decomposition)
- 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
- rungeKutta(java.lang.Integer,kotlin.DoubleArray,kotlin.DoubleArray,kotlin.DoubleArray,kotlin.Array,java.lang.Double,java.lang.Double,kotlin.Array,kotlin.DoubleArray,kotlin.Array,kotlin.Array,kotlin.Array,kotlin.Array) - function in jline.lib.empht.EMpht.Companion
- 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
- 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
- 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.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
- 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
- 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
- RyzerPermanent - class in jline.lib.perm
- Implementation of Ryzer's algorithm to calculate the permanent.