E-index

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

E

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
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
emIterate(java.lang.Integer,java.lang.Integer,kotlin.DoubleArray,kotlin.Array,kotlin.DoubleArray,kotlin.DoubleArray,kotlin.DoubleArray,kotlin.DoubleArray,kotlin.Array,kotlin.DoubleArray,kotlin.DoubleArray,kotlin.Array,kotlin.Array,kotlin.Array,kotlin.Array,kotlin.Array,kotlin.DoubleArray,kotlin.Array,kotlin.Array,kotlin.Array,kotlin.Array) - function in jline.lib.empht.EMpht.Companion
EMpht - class in jline.lib.empht: Kotlin port of EMpht.
EMpht.Companion - class in jline.lib.empht.EMpht
EmpiricalCDF - class in jline.lang.processes: Empirical CDF for a distribution
emStep(java.lang.Integer,java.lang.Double,kotlin.DoubleArray,kotlin.Array,kotlin.DoubleArray,kotlin.DoubleArray,kotlin.DoubleArray,kotlin.DoubleArray,kotlin.Array,kotlin.DoubleArray,kotlin.DoubleArray,kotlin.Array,kotlin.Array,kotlin.Array,kotlin.Array,kotlin.Array,kotlin.DoubleArray,kotlin.Array,kotlin.Array,kotlin.Array,kotlin.Array) - function in jline.lib.empht.EMpht.Companion
emStepMatrix(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lib.empht.EMpht.Companion: Run a single EM step with Matrix input/output
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
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.ResetEnvRatesFunction - class in jline.lang.Env
Env.ResetQueueLengthsFunction - class in jline.lang.Env
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(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.
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.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
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.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.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(int) - function in jline.lang.processes.Poisson
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
ExactQbdFitResult - class in kroqbd: Data class for exact QBD fitting result
ExampleKpcQbd - class in kroqbd: Example demonstrating KPC-QBD fitting and analysis
EXHAUSTIVE - enum entry in jline.lang.constant.PollingType
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.
expm_higham() - function in jline.util.matrix.Matrix: Computes the matrix exponential using Higham's scaling and squaring method.
exportAnalysis(java.lang.String) - function in jline.api.wkflow.WorkflowManager: Export workflow analysis to different formats.
exportToEMPHTmainPhasetype(java.lang.Integer,java.lang.Double,java.lang.Double,java.lang.Double,kotlin.DoubleArray,kotlin.Array,kotlin.DoubleArray) - function in jline.lib.empht.EMpht.Companion
exportToMatlabPhasetype(java.lang.Integer,java.lang.Double,java.lang.Double,java.lang.Double,kotlin.DoubleArray,kotlin.Array,kotlin.DoubleArray) - function in jline.lib.empht.EMpht.Companion
EXT - enum entry in jline.lang.constant.SchedStrategy: External routing - used for open classes at sources
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.
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
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(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(int) - function in jline.util.matrix.Matrix: Creates an identity matrix of given size.

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