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E

e(java.lang.Integer) - function in jline.lib.kpctoolbox.basic.BasicUtilsKt

Creates a vector e(n) = 1, 1, ...

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

Earliest Due Date - jobs with earliest deadline served first (non-preemptive)

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

Earliest Deadline First - jobs with earliest deadline served first (preemptive)

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

Computes the eigenvalues of this square matrix, including complex eigenvalues.

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

Computes the eigenvalues of this square matrix.

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

Computes the eigenvalues and eigenvectors of this square matrix.

Element - class in jline.lang

Superclass for model elements

elementAdd(kotlin.Array,int) - function in jline.util.Maths

Helper method that adds an integer to every element of an integer array.

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

Performs element-wise division of this matrix by another matrix.

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

Performs element-wise division with another matrix.

ElementDocumentPair - class in jline.io

 

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

Increases each element of the matrix by a constant value.

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

 

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

 

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

Returns the maximum value among all elements in the matrix.

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

 

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

 

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

 

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

Returns the maximum absolute value among all elements in the matrix.

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

 

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

 

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

 

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

Returns the minimum value among all elements in the matrix.

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

 

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

Returns the smallest non-zero positive element in the given matrix.

elementMult(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.BaseMatrix

 

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

 

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

Computes the product of the elements of a row or column vector.

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

Performs in-place element-wise multiplication with another matrix.

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

Performs element-wise multiplication with another matrix, storing the result in the given output matrix.

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

 

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

 

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

 

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

Performs element-wise multiplication between this matrix and a row vector.

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

Raises each non-zero element of the matrix to the specified power.

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

Raises each element of the matrix to the given power.

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

 

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

 

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

Computes the sum of all elements in the matrix.

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

 

eliminateImmediate(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.lang.NetworkStruct,jline.solvers.SolverOptions) - function in jline.solvers.fluid.handlers.ImmediateElimination

Eliminate immediate transitions from ODE system

embedded() - function in jline.lang.processes.Markovian

Kotlin-style property alias for getEmbedded()

embedded() - function in jline.lang.processes.Markovian

Kotlin-style property alias for getEmbedded()

embeddedProb() - function in jline.lang.processes.Markovian

Kotlin-style property alias for getEmbeddedProb()

embeddedProb() - function in jline.lang.processes.Markovian

Kotlin-style property alias for getEmbeddedProb()

embeddedSolve() - function in jline.lang.processes.MarkedMarkovProcess

Solve for embedded probabilities for all events

embeddedSolve(kotlin.Array) - function in jline.lang.processes.MarkedMarkovProcess

Solve for embedded probabilities for specified event set

EmpiricalCDF - class in jline.lang.processes

Empirical CDF for a distribution

empiricalRelativeEntropy(kotlin.DoubleArray,kotlin.DoubleArray) - function in jline.lib.butools.fitting.RelativeEntropyKt

Returns the empirical relative entropy using trace data.

empiricalSquaredDifference(kotlin.DoubleArray,kotlin.DoubleArray) - function in jline.lib.butools.fitting.SquaredDifferenceKt

Returns the empirical squared difference using trace data.

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

 

Enabling - class in jline.lang.sections

A section that models enabling conditions in a stochastic Petri net transition

endpoint(java.lang.String) - function in jline.streaming.StreamingOptions

Set the OTLP receiver endpoint.

enforceConstraints(kotlin.DoubleArray) - function in jline.api.mam.Maph2m_fitc_theoreticalKt

Enforce parameter constraints

Ensemble - class in jline.lang

A model defined by a collection of sub-models

ensembleAvg() - function in jline.solvers.EnsembleSolver

 

ensembleAvg() - function in jline.solvers.EnsembleSolver

 

EnsembleSolver - class in jline.solvers

 

ensureDirectoryExists(java.lang.String) - function in jline.util.MatFileUtils

Ensures the directory exists for the given filename

ensureWorkspaceDirectoryExists() - function in jline.util.MatFileUtils

Ensures the appropriate workspace directory exists

Entry - class in jline.lang.layered

An Entry represents a service interface exposed by a Task in a layered queueing network.

Env - class in jline.lang

An environment model defined by a collection of network sub-models coupled with an environment transition rule that selects the active sub-model.

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

 

ENV - class in jline.solvers.env

ENV is an alias for SolverENV (Ensemble environment solver).

EnvBreakdownExample - class in jline.examples.java.advanced

Example demonstrating the node breakdown/repair API for random environments.

Environment - class in jline.lang

An environment model defined by a collection of network sub-models coupled with an environment transition rule that selects the active sub-model.

Environment.ResetEnvRatesFunction - class in jline.lang.Environment

 

Environment.ResetQueueLengthsFunction - class in jline.lang.Environment

 

EnvOptions - class in jline.solvers.env

 

eq(java.lang.Double) - function in jline.api.mapqn.Mapqn_lpmodel.LinearConstraintBuilder

 

equals(Object) - function in jline.io.Ret.FJAuxClassKey

 

equals(Object) - function in jline.io.Ret.pfqnGldIndex

 

equals(Object) - function in jline.lang.nodes.Cache.PopularityKey

 

equals(Object) - function in jline.lang.processes.MAP

Checks if this MAP is equal to another object.

equals(Object) - function in jline.lang.processes.MMPP2

Checks if this MMPP2 is equal to another object.

equals(Object) - function in jline.lang.state.EventCacheKey

 

equals(java.lang.Object) - function in jline.lib.kpctoolbox.basic.SpectralDecomposition

 

equals(java.lang.Object) - function in jline.lib.kpctoolbox.kpcfit.TraceData

 

equals(java.lang.Object) - function in jline.lib.kpctoolbox.mc.CTMCSolveResult

 

equals(java.lang.Object) - function in jline.lib.kpctoolbox.mc.ConnectedComponents

 

equals(java.lang.Object) - function in jline.lib.kpctoolbox.trace.TraceSummary

 

equals(java.lang.Object) - function in jline.lib.m3a.MTrace

 

equals(java.lang.Object) - function in jline.lib.mom.solver.MomSolverResult

 

equals(Object) - function in jline.util.matrix.BaseMatrix

Indicates whether some other object is "equal to" this matrix.

equals(Object) - function in jline.util.matrix.DenseMatrix

Indicates whether some other object is "equal to" this dense matrix.

equals(Object) - function in jline.util.matrix.Matrix

Checks for matrix equality.

equals(Object) - function in jline.util.matrix.SparseMatrix

Indicates whether some other object is "equal to" this sparse matrix.

erchmm_emfit(kotlin.DoubleArray,kotlin.IntArray,java.lang.Integer,java.lang.Double,java.lang.Boolean) - function in jline.lib.kpctoolbox.erchmm.ERCHMMKt

Fits an Extended Renewal Continuous-time Hidden Markov Model to a trace using EM algorithm.

erchmm_emfit_simple(kotlin.DoubleArray,kotlin.IntArray,java.lang.Integer,java.lang.Double) - function in jline.lib.kpctoolbox.erchmm.ERCHMMKt

Simplified version of erchmm_emfit that returns only the MAP.

ERCHMMFitResult - class in jline.lib.kpctoolbox.erchmm

Result class for ER-CHMM EM fitting.

ERCHMMKt - class in jline.lib.kpctoolbox.erchmm

 

ERLANG - enum entry in jline.lang.constant.ProcessType

 

Erlang - class in jline.lang.processes

An Erlang-n distribution with n phases.

erlang_example() - function in jline.lib.kpctoolbox.MAPCatalog

Erlang Example Source: erlang_example.

ErlangC(java.lang.Double,java.lang.Integer) - function in jline.api.qsys.Qsys_mmkKt

Calculates the probability that an arriving customer is forced to join the queue (i.e., all servers are occupied) in an M/M/k system.

errOnSum(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.bench.BenchmarkUtils

Calculate mean error on sum for queue length metrics Returns mean absolute error relative to sum of each column Similar to MATLAB: mean(abs(exact-approx))/sum(exact)

euler - class in jline.lib.lti

 

evalACFT(kotlin.Array,double) - function in jline.lang.processes.MAP

Evaluates the autocorrelation function at given lags and timescale.

evalACFT(kotlin.Array,double) - function in jline.lang.processes.MMPP2

 

evalACFT(kotlin.Array,double) - function in jline.lang.processes.MarkovModulated

 

evalACFT(kotlin.Array,double) - function in jline.lang.processes.MarkovModulated

 

evalCDF(double) - function in jline.lang.processes.Bernoulli

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(int) - function in jline.lang.processes.Bernoulli

 

evalCDF(double) - function in jline.lang.processes.Binomial

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(int) - function in jline.lang.processes.Binomial

 

evalCDF(double) - function in jline.lang.processes.Coxian

Evaluates the cumulative distribution function at the given point.

evalCDF(double) - function in jline.lang.processes.Coxian

Evaluates the cumulative distribution function at the given point.

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

Evaluates the cumulative distribution function at the given point.

evalCDF(double) - function in jline.lang.processes.Disabled

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.DiscreteSampler

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.DiscreteUniform

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.Distribution

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.Distribution

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.EmpiricalCDF

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.Erlang

Evaluates the cumulative distribution function at the given point.

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

Evaluates the cumulative distribution function at the given point.

evalCDF(double) - function in jline.lang.processes.GMM

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.Gamma

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.Geometric

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.HyperExp

Evaluates the cumulative distribution function at the given point.

evalCDF(double) - function in jline.lang.processes.Immediate

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.Lognormal

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.MAP

Evaluates the cumulative distribution function (CDF) at time t.

evalCDF(double) - function in jline.lang.processes.MMPP2

Evaluates the cumulative distribution function (CDF) at time t.

evalCDF(double) - function in jline.lang.processes.MarkedMMPP

Evaluates the cumulative distribution function (CDF) at time t.

evalCDF(double) - function in jline.lang.processes.Markovian

Evaluates the cumulative distribution function at the given point.

evalCDF(double) - function in jline.lang.processes.Markovian

Evaluates the cumulative distribution function at the given point.

evalCDF(kotlin.Array) - function in jline.lang.processes.Markovian

Evaluates the cumulative distribution function at multiple points.

evalCDF(kotlin.Array) - function in jline.lang.processes.Markovian

Evaluates the cumulative distribution function at multiple points.

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

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.PH

Evaluates the cumulative distribution function (CDF) at time t.

evalCDF(double) - function in jline.lang.processes.Pareto

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.Poisson

Evaluates the cumulative distribution function (CDF) at value t.

evalCDF(double) - function in jline.lang.processes.Prior

Evaluates the mixture CDF at t.

evalCDF(double) - function in jline.lang.processes.Replayer

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.Replayer

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.Uniform

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.Weibull

Evaluates the cumulative distribution function (CDF) at the given point.

evalCDF(double) - function in jline.lang.processes.Zipf

Evaluates the cumulative distribution function at t

evalCDF(double) - function in jline.solvers.posterior.SolverPosterior.EmpiricalCDF

Evaluates the CDF at point x.

evalCDFMatrix() - function in jline.lang.processes.APH

Evaluates the CDF at default time points and returns as a Matrix.

evalCDFMatrix(kotlin.Array) - function in jline.lang.processes.APH

Evaluates the CDF at specified time points and returns as a Matrix.

evalLST(double) - function in jline.lang.processes.APH

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Bernoulli

Evaluates the Laplace-Stieltjes Transform at s.

evalLST(double) - function in jline.lang.processes.Binomial

Evaluates the Laplace-Stieltjes Transform at s.

evalLST(double) - function in jline.lang.processes.ContinuousDistribution

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Coxian

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Coxian

Evaluate the Laplace-Stieltjes Transform at s

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

Evaluates the Laplace-Stieltjes transform at the given point.

evalLST(double) - function in jline.lang.processes.Disabled

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.DiscreteDistribution

Evaluate the Laplace-Stieltjes Transform at s For discrete distributions, this is the probability generating function evaluated at e^(-s)

evalLST(double) - function in jline.lang.processes.DiscreteDistribution

Evaluate the Laplace-Stieltjes Transform at s For discrete distributions, this is the probability generating function evaluated at e^(-s)

evalLST(double) - function in jline.lang.processes.DiscreteUniform

Evaluates the Laplace-Stieltjes Transform at s.

evalLST(double) - function in jline.lang.processes.Distribution

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.EmpiricalCDF

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Erlang

Evaluates the Laplace-Stieltjes transform at the given point.

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

Evaluates the Laplace-Stieltjes transform at the given point.

evalLST(double) - function in jline.lang.processes.GMM

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Gamma

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Geometric

Evaluates the Laplace-Stieltjes Transform at s.

evalLST(double) - function in jline.lang.processes.HyperExp

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Immediate

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Lognormal

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.MAP

Evaluates the Laplace-Stieltjes Transform (LST) at parameter s.

evalLST(double) - function in jline.lang.processes.MMPP2

Evaluates the Laplace-Stieltjes Transform (LST) at parameter s.

evalLST(double) - function in jline.lang.processes.MarkedMMPP

Evaluates the Laplace-Stieltjes Transform (LST) at parameter s.

evalLST(double) - function in jline.lang.processes.Markovian

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Markovian

Evaluate the Laplace-Stieltjes Transform at s

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

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.PH

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Pareto

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Poisson

Evaluates the Laplace-Stieltjes Transform at s.

evalLST(double) - function in jline.lang.processes.Prior

Evaluates the mixture Laplace-Stieltjes transform.

evalLST(double) - function in jline.lang.processes.Replayer

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Replayer

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Uniform

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Weibull

Evaluate the Laplace-Stieltjes Transform at s

evalLST(double) - function in jline.lang.processes.Zipf

Evaluates the Laplace-Stieltjes Transform at s.

evalMeanT(double) - function in jline.lang.processes.MAP

Evaluates the mean of the counting process at time t.

evalMeanT(double) - function in jline.lang.processes.MMPP2

Evaluates the mean count at time t.

evalMeanT(double) - function in jline.lang.processes.Markovian

Evaluates the mean count at time t.

evalMeanT(double) - function in jline.lang.processes.Markovian

Evaluates the mean count at time t.

evalPDF(double) - function in jline.lang.processes.GMM

 

evalPDF(double) - function in jline.lang.processes.Gamma

Evaluates the probability density function (PDF) at the given point.

evalPDF(double) - function in jline.lang.processes.Lognormal

Evaluates the probability density function (PDF) at the given point.

evalPDF(double) - function in jline.lang.processes.MAP

Evaluates the probability density function (PDF) at time t.

evalPDF(double) - function in jline.lang.processes.MMPP2

Evaluates the probability density function (PDF) at time t.

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

 

evalPDF(double) - function in jline.lang.processes.Pareto

Evaluates the probability density function (PDF) at the given point.

evalPDF(int) - function in jline.lang.processes.Poisson

 

evalPDF(double) - function in jline.lang.processes.Uniform

Evaluates the probability density function (PDF) at the given point.

evalPDF(double) - function in jline.lang.processes.Weibull

Evaluates the probability density function (PDF) at the given point.

evalPMF(int) - function in jline.lang.processes.Bernoulli

 

evalPMF(int) - function in jline.lang.processes.Binomial

 

evalPMF(double) - function in jline.lang.processes.DiscreteDistribution

 

evalPMF(double) - function in jline.lang.processes.DiscreteDistribution

 

evalPMF(kotlin.Array) - function in jline.lang.processes.DiscreteDistribution

 

evalPMF(kotlin.Array) - function in jline.lang.processes.DiscreteDistribution

 

evalPMF(java.util.List) - function in jline.lang.processes.DiscreteDistribution

 

evalPMF(java.util.List) - function in jline.lang.processes.DiscreteDistribution

 

evalPMF() - function in jline.lang.processes.DiscreteSampler

 

evalPMF(java.util.List) - function in jline.lang.processes.DiscreteSampler

 

evalPMF(double) - function in jline.lang.processes.Geometric

 

evalPMF() - function in jline.lang.processes.Zipf

 

evalPMF(java.util.List) - function in jline.lang.processes.Zipf

Evaluates the probability mass function at t

evalProbInterval(double,double) - function in jline.lang.processes.Distribution

Evaluates the probability of the distribution falling within the given interval.

evalProbInterval(double,double) - function in jline.lang.processes.Distribution

Evaluates the probability of the distribution falling within the given interval.

evalVarT(double) - function in jline.lang.processes.MAP

Evaluates the variance of the counting process at time t.

evalVarT(double) - function in jline.lang.processes.MMPP2

Evaluates the variance at time t.

evalVarT(double) - function in jline.lang.processes.Markovian

Evaluates the variance count at time t.

evalVarT(double) - function in jline.lang.processes.Markovian

Evaluates the variance count at time t.

Event - class in jline.lang

Class abstracting an event within a Network model

EventCache - class in jline.lang.state

A class storing events

EventCacheKey - class in jline.lang.state

A data structure acting as a key to the EventCache

EventType - class in jline.lang.constant

Constants for specifying events

example1_basicFailureRepair() - function in jline.examples.java.advanced.EnvBreakdownExample

Example 1: Using addNodeFailureRepair convenience method with node object (recommended).

example2_separateCalls() - function in jline.examples.java.advanced.EnvBreakdownExample

Example 2: Using separate breakdown and repair calls with node object.

example3_customResetPolicies() - function in jline.examples.java.advanced.EnvBreakdownExample

Example 3: With custom reset policies using node object.

example4_modifyResetPolicies() - function in jline.examples.java.advanced.EnvBreakdownExample

Example 4: Modifying reset policies after creation using node object.

example5_solveEnvironment() - function in jline.examples.java.advanced.EnvBreakdownExample

Example 5: Solve the environment model and display results.

EXHAUSTIVE - enum entry in jline.lang.constant.PollingType

 

EXP - enum entry in jline.io.WfCommonsOptions.DistributionType

Exponential distribution (default)

EXP - enum entry in jline.lang.constant.ProcessType

 

Exp - class in jline.lang.processes

An exponential distribution.

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

Applies the exponential function to each element of the matrix.

expandMatrix(int,int,int) - function in jline.util.matrix.Matrix

Expands the matrix dimensions to the specified size while preserving data.

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

Expands the matrix to be square, padding with zeros as needed.

expectsReply() - function in jline.lang.JobClass

Checks if this job class expects a reply signal after processing.

expectsReply() - function in jline.lang.JobClass

Checks if this job class expects a reply signal after processing.

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

Computes the matrix exponential.

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

Computes the matrix exponential using Higham's scaling and squaring method.

exponential() - function in jline.io.WfCommonsOptions

Create options with exponential distribution.

exportAnalysis(java.lang.String) - function in jline.api.wf.WorkflowManager

Export workflow analysis to different formats.

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

External routing - used for open classes at sources

extendToMarkovian(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Double) - function in jline.lib.butools.reptrans.ExtendToMarkovianKt

Extends a non-Markovian initial vector to a Markovian one by appending an Erlang tail.

ExtendToMarkovianKt - class in jline.lib.butools.reptrans

 

extract(jline.util.matrix.Matrix,int,int,int,int) - function in jline.util.matrix.Matrix

Extracts a rectangular submatrix from the given source matrix.

extract(jline.util.matrix.Matrix,int,int,int,int,jline.util.matrix.Matrix,int,int) - function in jline.util.matrix.Matrix

Extracts a rectangular submatrix from a source matrix and stores it in a destination matrix.

extractCols(int,int) - function in jline.util.matrix.Matrix

Extracts a range of columns from this matrix (instance method).

extractColumn(jline.util.matrix.Matrix,int,jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix

Extracts a single column from the given matrix.

extractColumn(org.ejml.data.DMatrix,int,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

extractColumnInPlace(org.ejml.data.DMatrix,int,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

extractColumnInPlaceStatic(org.ejml.data.DMatrix,int,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

extractColumns(jline.util.matrix.Matrix,int,int) - function in jline.util.matrix.Matrix

Extracts a range of columns from the matrix [col0:col1).

extractColumns(jline.util.matrix.Matrix,int,int,jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix

Extracts a range of columns from the matrix [col0:col1) into a destination matrix.

extractColumnStatic(org.ejml.data.DMatrix,int,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

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

Extracts the diagonal elements of a matrix and stores them in a destination matrix.

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

 

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

 

extractFJParams(jline.lang.NetworkStruct,jline.api.fj.FJInfo) - function in jline.api.fj.FJConvertKt

Extract Fork-Join parameters from network structureExtracts arrival and service processes for each class from the network, converting LINE distributions to FJ_codes format.

extractMatrix(org.ejml.data.DMatrix,int,int,int,int,org.ejml.data.DMatrix,int,int) - function in jline.util.matrix.BaseMatrix

 

extractMatrix(org.ejml.data.DMatrix,int,int,int,int,org.ejml.data.DMatrix,int,int) - function in jline.util.matrix.DenseMatrix

 

extractMatrix(org.ejml.data.DMatrix,int,int,int,int,org.ejml.data.DMatrix,int,int) - function in jline.util.matrix.SparseMatrix

 

extractMatrixStatic(org.ejml.data.DMatrix,int,int,int,int,org.ejml.data.DMatrix,int,int) - function in jline.util.matrix.DenseMatrix

 

extractMatrixStatic(org.ejml.data.DMatrix,int,int,int,int,org.ejml.data.DMatrix,int,int) - function in jline.util.matrix.SparseMatrix

 

extractRows(jline.util.matrix.ComplexMatrix,int,int,jline.util.matrix.ComplexMatrix) - function in jline.util.matrix.ComplexMatrix

Extracts a range of rows from a complex matrix.

extractRows(int,int) - function in jline.util.matrix.Matrix

Extracts rows from this matrix (instance method).

extractRows(jline.util.matrix.Matrix,int,int) - function in jline.util.matrix.Matrix

Extracts a range of rows from the matrix [row0:row1).

extractRows(jline.util.matrix.Matrix,int,int,jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix

Extracts a range of rows from the matrix [row0:row1) into a destination matrix.

extractRows(org.ejml.data.DMatrix,int,int,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

extractRowsInPlace(org.ejml.data.DMatrix,int,int,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

extractRowsInPlaceStatic(org.ejml.data.DMatrix,int,int,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

extractRowsStatic(org.ejml.data.DMatrix,int,int,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix

 

eye(java.lang.Integer) - function in jline.lib.kpctoolbox.basic.BasicUtilsKt

Creates an identity matrix.

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

Creates an identity matrix of given size.

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