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- tagChain(jline.lang.Network,jline.lang.Chain) - function in jline.lang.ModelAdapter
- Convenience method with default parameters
- tagChain(jline.lang.Network,jline.lang.Chain,jline.lang.JobClass) - function in jline.lang.ModelAdapter
- Convenience method with default parameters
- tagChain(jline.lang.Network,jline.lang.Chain,jline.lang.JobClass,java.lang.String) - function in jline.lang.ModelAdapter
- Create a tagged version of a job chain for response time analysis
- talbot - class in jline.lib.lti
- tandem(jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.Array,jline.util.matrix.Matrix) - function in jline.lang.Network
- Creates a tandem queueing network with specified arrival rates and service demands.
- tandemFcfs(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network
- tandemFcfsInf(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network
- Creates a tandem network with FCFS infinite servers.
- tandemFcfsInf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network
- Creates a tandem network with FCFS infinite servers and delay centers.
- tandemFcfsInf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network
- Creates a tandem network with FCFS infinite servers, delays, and specified server counts.
- tandemOpen() - function in jline.examples.java.advanced.AgentModel
- Creates an open tandem queue model (M/M/1 -> M/M/1).
- tandemPs(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network
- tandemPsInf(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network
- Creates a tandem network with processor sharing infinite servers.
- tandemPsInf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network
- Creates a tandem network with processor sharing infinite servers and delays.
- tandemPsInf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network
- Tard - enum entry in jline.lang.constant.MetricType
- TASK - enum entry in jline.io.ModelVisualizer.NodeType
- Task - class in jline.lang.layered
- A Task represents a software component or process in a layered queueing network that can host services (Entry objects) and runs on a Processor (Host).
- test_forkJoinCS_1() - function in jline.examples.java.basic.ForkJoinModel
- testAllModels() - function in jline.unified.UnifiedTestSuite
- Dynamic test factory that generates a test for each model definition.
- testDefinitionsMatchSchema() - function in jline.unified.UnifiedTestSuite
- Test that definitions conform to schema structure.
- testDefinitionsValidJson() - function in jline.unified.UnifiedTestSuite
- Test that all definition files are valid JSON.
- testRegistryCanBuildModels() - function in jline.unified.UnifiedTestSuite
- Test that basic models can be built from the registry.
- testRegistryHasModels() - function in jline.unified.UnifiedTestSuite
- Test that the ModelRegistry has models registered.
- TestResults - class in jline.unified
- Data class representing test results
- TEX - enum entry in jline.io.LQN2UML.Format
- tget(java.lang.String,java.lang.String) - function in jline.solvers.NetworkAvgChainTable
- tget(jline.lang.nodes.Station,jline.lang.JobClass) - function in jline.solvers.NetworkAvgChainTable
- tget(java.lang.String,java.lang.String) - function in jline.solvers.NetworkAvgNodeChainTable
- tget(jline.lang.nodes.Node,jline.lang.JobClass) - function in jline.solvers.NetworkAvgNodeChainTable
- tget(java.lang.String) - function in jline.solvers.NetworkAvgNodeTable
- tget(java.lang.String,java.lang.String) - function in jline.solvers.NetworkAvgNodeTable
- tget(jline.lang.nodes.Node,jline.lang.JobClass) - function in jline.solvers.NetworkAvgNodeTable
- tget(jline.solvers.NetworkAvgNodeTable,java.lang.String) - function in jline.solvers.NetworkAvgNodeTable
- tget(jline.solvers.NetworkAvgNodeTable,java.lang.String,java.lang.String) - function in jline.solvers.NetworkAvgNodeTable
- tget(java.lang.String) - function in jline.solvers.NetworkAvgSysTable
- tget(jline.lang.Chain) - function in jline.solvers.NetworkAvgSysTable
- tget(jline.solvers.NetworkAvgSysTable,java.lang.String) - function in jline.solvers.NetworkAvgSysTable
- tget(java.lang.String) - function in jline.solvers.NetworkAvgTable
- tget(java.lang.String,java.lang.String) - function in jline.solvers.NetworkAvgTable
- tget(jline.lang.nodes.Station,jline.lang.JobClass) - function in jline.solvers.NetworkAvgTable
- tget(jline.solvers.NetworkAvgTable,java.lang.String) - function in jline.solvers.NetworkAvgTable
- Extracts rows from the table matching the specified name (station or class).
- tget(jline.solvers.NetworkAvgTable,java.lang.String,java.lang.String) - function in jline.solvers.NetworkAvgTable
- Extracts rows from the table matching both station and class names.
- ThreadLocalRandom - class in jline.util
- A class for random number generation in separate threads.
- throughput(int,int,double,long) - function in jline.streaming.SSAMetricPoint
- Create a throughput metric point.
- throughput(int,int,java.lang.String,java.lang.String,double,long) - function in jline.streaming.SSAMetricPoint
- Create a throughput metric point with station/class names.
- TikZEdgeRouter - class in jline.io.tikz
- Routes edges around nodes to achieve a planar graph layout.
- TikZExporter - class in jline.io.tikz
- Exports a queueing network model as a TikZ diagram.
- tikzExportPNG(java.lang.String) - function in jline.lang.Network
- Exports this network to a PNG file using TikZ.
- tikzExportPNG(java.lang.String,int) - function in jline.lang.Network
- Exports this network to a PNG file using TikZ with custom DPI.
- TikZLayoutEngine - class in jline.io.tikz
- Computes automatic layout for queueing network visualization.
- TikZNodeRenderer - class in jline.io.tikz
- Renders queueing network nodes as TikZ code.
- TikZOptions - class in jline.io.tikz
- Configuration options for TikZ network visualization.
- tikzView() - function in jline.lang.Network
- Displays this network as a TikZ diagram in a PDF viewer.
- tikzView(jline.io.tikz.TikZOptions) - function in jline.lang.Network
- Displays this network as a TikZ diagram with custom options.
- TikZViewer - class in jline.io.tikz
- Displays PDF files generated from TikZ diagrams using external viewers.
- TIME_WINDOW - enum entry in jline.streaming.StreamingOptions.StreamMode
Push time-averaged metrics over windows
- TIMED - enum entry in jline.lang.constant.TimingStrategy
- timeWindowSeconds(double) - function in jline.streaming.StreamingOptions
- Set the time window duration for TIME_WINDOW mode.
- Timing - class in jline.lang.sections
- A service section of a Transition in a stochastic Petri net model
- TimingStrategy - class in jline.lang.constant
- Constants for specifying timing strategies at Petri net transitions
- toArray1D() - function in jline.util.matrix.Matrix
- Converts the matrix to a flat 1D array in row-major order.
- toArray2D() - function in jline.lang.ClassSwitchMatrix
- toArray2D() - function in jline.util.matrix.Matrix
- Converts the matrix to a 2D array representation.
- toCTMC() - function in jline.lang.processes.MarkovChain
- Convert to CTMC by subtracting identity matrix
- toDMatrixSparseCSC() - function in jline.util.matrix.Matrix
- Converts this matrix to a copy of its underlying DMatrixSparseCSC structure.
- toDMatrixSparseCSC(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix
- Converts a specified matrix to a copy of its underlying DMatrixSparseCSC structure.
- toDouble() - function in jline.util.matrix.Matrix
- Converts this matrix to a single
Doublevalue. - toDoubleList() - function in jline.util.matrix.Matrix
- Converts the matrix to a nested list of
Doublevalues. - toDTMC() - function in jline.lang.processes.MarkovProcess
- Convert to DTMC using uniformization
- toDTMC() - function in jline.lang.processes.MarkovProcess
- Convert to DTMC using uniformization
- toDTMC(double) - function in jline.lang.processes.MarkovProcess
- toDTMC(double) - function in jline.lang.processes.MarkovProcess
- toFeature(jline.lang.constant.ActivityPrecedenceType) - function in jline.lang.constant.ActivityPrecedenceType
- toFeature(jline.lang.constant.ReplacementStrategy) - function in jline.lang.constant.ReplacementStrategy
- toFeature(jline.lang.constant.RoutingStrategy) - function in jline.lang.constant.RoutingStrategy
- Converts a RoutingStrategy enum value to a feature string for analysis.
- toFeature(jline.lang.constant.SchedStrategy) - function in jline.lang.constant.SchedStrategy
- Converts a SchedStrategy enum value to a feature string for analysis.
- toId(jline.lang.constant.ActivityPrecedenceType) - function in jline.lang.constant.ActivityPrecedenceType
- toId(jline.lang.constant.PollingType) - function in jline.lang.constant.PollingType
- Gets the ID (numeric value) of the polling type.
- toIntArray1D() - function in jline.util.matrix.Matrix
- Converts the matrix to a 1D array of
int, flattening in row-major order. - toList1D() - function in jline.util.matrix.Matrix
- Converts the matrix into a 1D List of
Doublevalues in row-major order. - toMAP(jline.lang.Event) - function in jline.lang.processes.MarkedMarkovProcess
- Convert to MAP for a specific event
- toMAP(jline.lang.constant.EventType,int,int) - function in jline.lang.processes.MarkedMarkovProcess
- Convert to MAP for a specific event type, node, and class
- toMap() - function in jline.util.matrix.MatrixCell
- Creates a copy of the internal mapping from indices to matrices.
- ToMarginal - class in jline.lang.state
- toMarginal(jline.lang.NetworkStruct,int,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.state.ToMarginal
- Computes marginal statistics for a stateful node in a Stochastic Petri Net.
- toMarginalAggr(jline.lang.NetworkStruct,int,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.state.ToMarginal
- Computes aggregated marginal statistics for a stateful node using specified aggregation weights.
- toMatrix() - function in jline.lang.processes.GMM
- Converts this GMM to a simplified matrix representation.
- toMatrix() - function in jline.solvers.AvgTable
- Returns the table data as a Matrix after sanitizing numerical values.
- toMatrix() - function in jline.solvers.AvgTable
- Returns the table data as a Matrix after sanitizing numerical values.
- toMatrix() - function in jline.util.graph.DirectedGraph
- toMatrix() - function in jline.util.graph.UndirectedGraph
- toMetricType(java.lang.String) - function in jline.lang.constant.MetricType
- toNetwork(jline.lang.Ensemble) - function in jline.lang.Ensemble
- Alias for merge - creates a union Network from this ensemble.
- toNetwork(jline.lang.Ensemble) - function in jline.lang.Ensemble
- Alias for merge - creates a union Network from this ensemble.
- toPH() - function in jline.lang.workflow.Workflow
- toString() - function in jline.io.ModelVisualizer.ModelEdge
- toString() - function in jline.io.ModelVisualizer.ModelVertex
- toString() - function in jline.lang.constant.BalkingThreshold
- toString() - function in jline.lang.constant.ServerType
- toString() - function in jline.lang.processes.BMAP
- toString() - function in jline.lang.processes.Exp
- toString() - function in jline.lang.processes.GMM
- toString() - function in jline.lang.processes.HyperExp
- toString() - function in jline.lang.processes.MAP
- Returns a string representation of this MAP process.
- toString() - function in jline.lang.processes.MMAP
- toString() - function in jline.lang.processes.MMDP
- toString() - function in jline.lang.processes.MMPP2
- Returns a string representation of this MMPP2 process.
- toString() - function in jline.lang.processes.MultivariateNormal
- toString() - function in jline.lang.processes.Normal
- toString() - function in jline.streaming.SSAMetricPoint
- toString() - function in jline.util.PrecomputedCDFunction
- toString() - function in jline.util.matrix.BaseMatrix
- Returns a string representation of the matrix.
- toString() - function in jline.util.matrix.DenseMatrix
- Returns a string representation of the matrix.
- toString() - function in jline.util.matrix.Matrix
- Returns a formatted string representation of the matrix.
- toString() - function in jline.util.matrix.SparseMatrix
- Returns a string representation of the matrix.
- toString() - function in umontreal.ssj.randvar.RandomVariateGen
- toText(jline.lang.constant.BalkingStrategy) - function in jline.lang.constant.BalkingStrategy
- Convert BalkingStrategy to human-readable text.
- toText(jline.lang.constant.DropStrategy) - function in jline.lang.constant.DropStrategy
- toText() - function in jline.lang.constant.HeteroSchedPolicy
- Converts this policy to its text representation.
- toText(jline.lang.constant.HeteroSchedPolicy) - function in jline.lang.constant.HeteroSchedPolicy
- Converts a HeteroSchedPolicy to its text representation.
- toText(jline.lang.constant.ImpatienceType) - function in jline.lang.constant.ImpatienceType
- Convert ImpatienceType to human-readable text.
- toText(jline.lang.constant.PollingType) - function in jline.lang.constant.PollingType
- Converts a PollingType enum value to its text representation.
- toText(jline.lang.constant.ProcessType) - function in jline.lang.constant.ProcessType
- toText(jline.lang.constant.RemovalPolicy) - function in jline.lang.constant.RemovalPolicy
- toText(jline.lang.constant.ReplacementStrategy) - function in jline.lang.constant.ReplacementStrategy
- toText(jline.lang.constant.SchedStrategy) - function in jline.lang.constant.SchedStrategy
- Converts a SchedStrategy enum value to its text representation.
- toText(jline.lang.constant.SignalType) - function in jline.lang.constant.SignalType
- toTikZ(jline.lang.layered.LayeredNetwork) - function in jline.io.LQN2UML
- Generates the TikZ/LaTeX source code for the sequence diagram.
- toTikZ(jline.lang.layered.LayeredNetwork,jline.io.tikz.SequenceDiagramOptions) - function in jline.io.LQN2UML
- Generates the TikZ/LaTeX source code with custom diagram options.
- toTikZ() - function in jline.lang.Network
- Generates TikZ code for visualizing this network.
- toTikZ(jline.io.tikz.TikZOptions) - function in jline.lang.Network
- Generates TikZ code with custom options.
- toTimeReversed() - function in jline.lang.processes.MAP
- toTimeReversed() - function in jline.lang.processes.MMPP2
- toTimeReversed() - function in jline.lang.processes.MarkedMAP
- toTimeReversed() - function in jline.lang.processes.MarkedMAP
- toTimeReversed() - function in jline.lang.processes.MarkedMMPP
- toTimeReversed() - function in jline.lang.processes.MarkovChain
- Get time-reversed DTMC
- toTimeReversed() - function in jline.lang.processes.MarkovProcess
- Get time-reversed CTMC
- toTimeReversed() - function in jline.lang.processes.MarkovProcess
- Get time-reversed CTMC
- Tput - enum entry in jline.lang.constant.MetricType
- TputSink - enum entry in jline.lang.constant.MetricType
- TRACE - enum entry in jline.lang.constant.ProcessType
- Trace - class in jline.lang.processes
- Alias for the Replayer class
- trace_acf(kotlin.DoubleArray,kotlin.IntArray) - function in jline.api.trace.Trace_varKt
- Computes the autocorrelation function for trace S at the specified lags
- trace_acf(kotlin.DoubleArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the autocorrelation function at lag 1.
- trace_acf(kotlin.DoubleArray,kotlin.IntArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the autocorrelation function (ACF) for a trace at specified lags.
- trace_bicov(kotlin.DoubleArray,kotlin.IntArray) - function in jline.api.trace.Trace_varKt
- Computes the bicovariance of the trace
- trace_bicov(kotlin.DoubleArray,kotlin.IntArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the bicovariance of a trace for a grid of lags.
- trace_gamma(kotlin.DoubleArray) - function in jline.api.mam.Mamap2m_fit_gamma_fb_traceKt
- Computes autocorrelation decay rate (gamma) from trace.
- trace_gamma(kotlin.DoubleArray,java.lang.Integer) - function in jline.api.trace.Trace_varKt
- Estimates the auto-correlation decay rate of a trace
- trace_gamma(kotlin.DoubleArray,java.lang.Integer) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Estimates the autocorrelation decay rate of a trace.
- trace_iat2bins(kotlin.DoubleArray,java.lang.Double) - function in jline.api.trace.Trace_varKt
- Computes the counts in each bin with specified timescale
- trace_iat2bins(kotlin.DoubleArray,java.lang.Double) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes binned counts from inter-arrival times.
- trace_iat2counts(kotlin.DoubleArray,java.lang.Double) - function in jline.api.trace.Trace_varKt
- Computes the counting process of S
- trace_iat2counts(kotlin.DoubleArray,java.lang.Double) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the counting process from inter-arrival times.
- trace_idc(kotlin.DoubleArray) - function in jline.api.trace.Trace_varKt
- Computes the Index of Dispersion for Counts (asymptotically equal to IDI)
- trace_idc(kotlin.DoubleArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the index of dispersion for counts (IDC) of a trace.
- trace_idi(kotlin.DoubleArray,kotlin.IntArray,java.lang.String,java.lang.Integer) - function in jline.api.trace.Trace_varKt
- Computes the Index of Dispersion for Intervals of a trace
- trace_idi(kotlin.DoubleArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the index of dispersion for intervals with default k values.
- trace_idi(kotlin.DoubleArray,kotlin.IntArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the index of dispersion for intervals (IDI) of a trace.
- trace_joint(kotlin.DoubleArray,kotlin.IntArray,kotlin.IntArray) - function in jline.api.trace.Trace_varKt
- Computes joint moments EX^{k_1}_{i} X^{k_2}_{i+j} ...
- trace_joint(kotlin.DoubleArray,kotlin.IntArray,kotlin.IntArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the joint moment EX^{k_1}_{i} X^{k_2}_{i+lag_1} ...
- trace_mean(kotlin.DoubleArray) - function in jline.api.trace.Trace_meanKt
- Computes the overall mean of the trace data.
- trace_mean(kotlin.DoubleArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the mean of a trace.
- Trace_meanKt - class in jline.api.trace
- trace_pmf(kotlin.IntArray) - function in jline.api.trace.Trace_varKt
- Computes the probability mass function of discrete data
- trace_pmf(kotlin.DoubleArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the probability mass function of discrete values in a trace.
- trace_scv(kotlin.DoubleArray) - function in jline.api.trace.Trace_varKt
- Computes the squared coefficient of variation for trace S
- trace_scv(kotlin.DoubleArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the squared coefficient of variation (SCV) of a trace.
- trace_shuffle(kotlin.DoubleArray) - function in jline.api.trace.Trace_varKt
- Shuffles the trace data randomly
- trace_shuffle(kotlin.DoubleArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Shuffles a trace randomly.
- trace_skew(kotlin.DoubleArray) - function in jline.api.trace.TraceSkewKt
- Computes the skewness of the trace data using Apache Commons Math.
- trace_skew(java.util.Collection) - function in jline.api.trace.TraceSkewKt
- Computes the skewness of the trace data using Apache Commons Math.
- trace_skew(java.util.List) - function in jline.api.trace.TraceSkewKt
- Computes the skewness of the trace data using Apache Commons Math.
- trace_skew(kotlin.DoubleArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the bias-corrected skewness of a trace.
- trace_summary(kotlin.DoubleArray) - function in jline.api.trace.Trace_varKt
- Computes comprehensive summary statistics for a trace
- trace_summary(kotlin.DoubleArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes comprehensive summary statistics for a trace.
- trace_var(kotlin.DoubleArray) - function in jline.api.trace.Trace_varKt
- Computes the variance of the trace data.
- trace_var(kotlin.DoubleArray) - function in jline.lib.kpctoolbox.trace.TraceAnalysisKt
- Computes the variance of a trace.
- Trace_varKt - class in jline.api.trace
- TraceAnalysisKt - class in jline.lib.kpctoolbox.trace
- TraceData - class in jline.lib.kpctoolbox.kpcfit
- Data class for initialized trace data.
- TraceMeanAlgo - class in jline.api.trace
- Trace Mean algorithms
- TraceSkewKt - class in jline.api.trace
- TraceStatistics - class in jline.api.trace
- TraceSummary - class in jline.lib.kpctoolbox.trace
- Summary statistics for a trace.
- TraceVarAlgo - class in jline.api.trace
- Trace Var algorithms
- tranAvg() - function in jline.solvers.NetworkSolver
- tranAvg() - function in jline.solvers.NetworkSolver
- tranCdfPassT() - function in jline.solvers.NetworkSolver
- tranCdfPassT() - function in jline.solvers.NetworkSolver
- tranCdfPassT(jline.solvers.AvgHandle) - function in jline.solvers.NetworkSolver
- tranCdfPassT(jline.solvers.AvgHandle) - function in jline.solvers.NetworkSolver
- tranCdfRespT() - function in jline.solvers.NetworkSolver
- tranCdfRespT() - function in jline.solvers.NetworkSolver
- tranCdfRespT(jline.solvers.AvgHandle) - function in jline.solvers.NetworkSolver
- tranCdfRespT(jline.solvers.AvgHandle) - function in jline.solvers.NetworkSolver
- tranHandles() - function in jline.solvers.NetworkSolver
- tranHandles() - function in jline.solvers.NetworkSolver
- TranQLen - enum entry in jline.lang.constant.MetricType
- TranRespT - enum entry in jline.lang.constant.MetricType
- transformToAcyclic(jline.util.matrix.Matrix,java.lang.Integer,java.lang.Double) - function in jline.lib.butools.reptrans.TransformToAcyclicKt
- Transforms an arbitrary matrix to a Markovian bi-diagonal matrix.
- TransformToAcyclicKt - class in jline.lib.butools.reptrans
- transformToMonocyclic(jline.util.matrix.Matrix,java.lang.Integer,java.lang.Double) - function in jline.lib.butools.reptrans.TransformToMonocyclicKt
- Transforms an arbitrary matrix to a Markovian monocyclic matrix.
- TransformToMonocyclicKt - class in jline.lib.butools.reptrans
- TransientDataHandler - class in jline.solvers.fluid.handlers
- Step handler for capturing transient data during fluid solver ODE integration.
- Transition - enum entry in jline.lang.constant.NodeType
Transition node in Petri net models - fires when enabled
- Transition - class in jline.lang.nodes
- Transition as in a stochastic Petri net model
- TransitionNodeParam - class in jline.lang.nodeparam
- transport(jline.streaming.StreamingOptions.TransportType) - function in jline.streaming.StreamingOptions
- Set the transport type.
- transpose(kotlin.Array) - function in jline.util.Maths
- Transposes a 2D array of values.
- transpose(org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.DenseMatrix
- Computes the transpose of the input matrix.
- transpose() - function in jline.util.matrix.Matrix
- Computes the transpose of the current matrix.
- transpose(org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix
- Computes the transpose of the input matrix.
- transposeMatrix(org.ejml.data.DMatrix) - function in jline.util.matrix.BaseMatrix
- Computes the transpose of this matrix.
- transposeMatrix(org.ejml.data.DMatrix) - function in jline.util.matrix.DenseMatrix
- Computes the transpose of this matrix.
- transposeMatrix(org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix
- Computes the transpose of this matrix.
- transposeMatrixStatic(org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.DenseMatrix
- transposeMatrixStatic(org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix
- TranTput - enum entry in jline.lang.constant.MetricType
- TranUtil - enum entry in jline.lang.constant.MetricType
- tril(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix
- Returns the lower triangular part of a matrix (zeroing elements above the main diagonal).
- tril(jline.util.matrix.Matrix,int) - function in jline.util.matrix.Matrix
- Returns the elements on and below the kth diagonal of matrix A.
- tut01_mm1_basics() - function in jline.examples.java.GettingStarted
- Getting started example 1: Basic M/M/1 queue.
- tut02_mg1_multiclass_solvers() - function in jline.examples.java.GettingStarted
- Getting started example 2: M/G/1 queue with two classes.
- tut03_repairmen() - function in jline.examples.java.GettingStarted
- Getting started example 3: Machine Repair Problem (MRP).
- tut04_lb_routing() - function in jline.examples.java.GettingStarted
- Getting started example 4: Load balancing with routing strategies.
- tut05_completes_flag() - function in jline.examples.java.GettingStarted
- Getting started example 5: Class switching in single-node network.
- tut06_cache_lru_zipf() - function in jline.examples.java.GettingStarted
- Getting started example 6: Cache modeling with Zipf access pattern.
- tut07_respt_cdf() - function in jline.examples.java.GettingStarted
- Getting started example 7: Simple closed network for optimization.
- tut08_opt_load_balancing() - function in jline.examples.java.GettingStarted
- Getting started example 8: Optimization with COBYLA algorithm.
- tut09_dep_process_analysis() - function in jline.examples.java.GettingStarted
- Getting started example 9: Studying a departure process.
- tut10_lqn_basics() - function in jline.examples.java.GettingStarted
- Getting started example 10: Basic layered queueing network.
- tut11_random_env() - function in jline.examples.java.GettingStarted
- Getting started example 11: Random environments and SolverENV.