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

V

V() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization.Bidiagonalization

Get a copy of V, where V' = Vk %*% ... %*% V1 where k = A.nCols() - 2.

V() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.svd.GloubKahanSVD

V() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVD

V() - Method in interface com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVDDecomposition

Get a copy of V as in U' %*% A %*% V = D U %*% D %*% V' = A

v() - Method in class com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.standard.LpUnboundedSolution

When the problem is unbounded, the direction of arbitrarily negative can be computed by adjusting λ.

v - Variable in class com.numericalmethod.suanshu.stats.distribution.univariate.TDistribution

the degree of freedom

V(int) - Method in class com.numericalmethod.suanshu.stats.dlm.ObservationEquation

Get V(t), the covariance matrix of v_t.

validate() - Method in class com.numericalmethod.suanshu.license.Package

Check if this package is valid under the license.

validate() - Method in class com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.StandardLpProblem1

validate() - Method in class com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.StandardLpProblem2

validate(Matrix) - Method in class com.numericalmethod.suanshu.stats.test.distribution.pearson.AS159

Check whether a matrix satisfies the row and column sums.

validIndex(Vector, int) - Static method in class com.numericalmethod.suanshu.vector.doubles.IsVector

Check if the input index is a valid index Vector v.

value - Variable in class com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunctionFixedVariables.Value

the value fixed for this variable

value() - Method in class com.numericalmethod.suanshu.analysis.integration.univariate.Lebesgue

Compute the integral value.

value - Variable in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseElement

the value of this element

value() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseVector.Entry

Get the value of this entry.

value() - Method in class com.numericalmethod.suanshu.number.ScientificNotation

Get the value of the specified number as a BigDecimal.

value() - Method in class com.numericalmethod.suanshu.stats.descriptive.Covariance

value() - Method in class com.numericalmethod.suanshu.stats.descriptive.moment.Kurtosis

value() - Method in class com.numericalmethod.suanshu.stats.descriptive.moment.Mean

value() - Method in class com.numericalmethod.suanshu.stats.descriptive.moment.Moments

value() - Method in class com.numericalmethod.suanshu.stats.descriptive.moment.Skewness

value() - Method in class com.numericalmethod.suanshu.stats.descriptive.moment.Variance

value() - Method in class com.numericalmethod.suanshu.stats.descriptive.rank.Max

value() - Method in class com.numericalmethod.suanshu.stats.descriptive.rank.Min

value() - Method in class com.numericalmethod.suanshu.stats.descriptive.rank.Quantile

value(double) - Method in class com.numericalmethod.suanshu.stats.descriptive.rank.Quantile

Compute the sample value corresponding to a probability.

value() - Method in interface com.numericalmethod.suanshu.stats.descriptive.Statistic

Get the value of the statistic.

value() - Method in class com.numericalmethod.suanshu.stats.descriptive.SynchronizedStatistic

value - Variable in class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Expectation

the value of the integral

value() - Method in class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Expectation

Get the integral value.

value - Variable in class com.numericalmethod.suanshu.stats.timeseries.TimeSeries.Entry

the value

valueOf(String) - Static method in enum com.numericalmethod.suanshu.analysis.differentiation.univariate.Dfdx.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.analysis.differentiation.univariate.FiniteDifference.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.analysis.function.polynomial.root.Solver.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.analysis.function.special.CumulativeNormal.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.analysis.function.special.Gamma.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.analysis.function.special.LogGamma.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.analysis.integration.univariate.riemann.EulerMaclaurin.NewtonCotesType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.PowerLawSingularity.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.interval.Algebra.Relation

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Eigen.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QR.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVD.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LU.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.matrix.doubles.linearsystem.Kernel.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolver.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver.ConvergenceFailure.Reason

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseElement.TopLeftFirstComparator

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.number.DoubleUtils.RoundingScheme

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.Tableau.LabelType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.FirstOrder.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.signalprocessing.filter.MovingAverage.Side

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.Test

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.TrendType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.descriptive.rank.Quantile.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.random.distribution.Gaussian.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.random.distribution.Uniform.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov.Side

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.Side

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.test.distribution.pearson.ChiSquare4Independence.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.test.timeseries.adf.AdfAsymptoticDistribution1.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.test.timeseries.adf.AugmentedDickeyFuller.TrendType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.test.variance.Levene.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.AutoCovariance.Type

Returns the enum constant of this type with the specified name.

values() - Static method in enum com.numericalmethod.suanshu.analysis.differentiation.univariate.Dfdx.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.analysis.differentiation.univariate.FiniteDifference.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.analysis.function.polynomial.root.Solver.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.analysis.function.special.CumulativeNormal.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.analysis.function.special.Gamma.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.analysis.function.special.LogGamma.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.analysis.integration.univariate.riemann.EulerMaclaurin.NewtonCotesType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.PowerLawSingularity.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.interval.Algebra.Relation

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Eigen.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QR.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVD.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LU.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.matrix.doubles.linearsystem.Kernel.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolver.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver.ConvergenceFailure.Reason

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseElement.TopLeftFirstComparator

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.number.DoubleUtils.RoundingScheme

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.Tableau.LabelType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.FirstOrder.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.signalprocessing.filter.MovingAverage.Side

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.Test

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.TrendType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.descriptive.rank.Quantile.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.random.distribution.Gaussian.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.random.distribution.Uniform.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov.Side

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.Side

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.test.distribution.pearson.ChiSquare4Independence.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.test.timeseries.adf.AdfAsymptoticDistribution1.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.test.timeseries.adf.AugmentedDickeyFuller.TrendType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.test.variance.Levene.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.AutoCovariance.Type

Returns an array containing the constants of this enum type, in the order they are declared.

VanDerWaerden - Class in com.numericalmethod.suanshu.stats.test.rank

The Van der Waerden test tests for the equality of all population distribution functions.

VanDerWaerden(double[]...) - Constructor for class com.numericalmethod.suanshu.stats.test.rank.VanDerWaerden

Perform the Van Der Waerden test to test for the equality of all population distribution functions.

var() - Method in class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Expectation

Compute the variance of the integral.

var() - Method in interface com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.ArmaFitting

Get the variance of the white noise.

var() - Method in class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.ConditionalSumOfSquares

var() - Method in class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GarchModel

Compute the unconditional variance of the GARCH model.

var(int) - Method in class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.InnovationAlgorithm

Get the mean squared error for prediction errors at time t for X^t+1, i.e., E(X_(t+1) - X^_(t+1))

var1 - Variable in class com.numericalmethod.suanshu.stats.test.mean.T

variance for sample 1

var2 - Variable in class com.numericalmethod.suanshu.stats.test.mean.T

variance for sample 2

VarFitting - Class in com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma

This class estimates the coefficients for a VAR model.

VarFitting(MultiVariateTimeSeries, int) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VarFitting

Variance - Class in com.numericalmethod.suanshu.stats.descriptive.moment

The variance of a sample is the average squared deviations from the sample mean.

Variance() - Constructor for class com.numericalmethod.suanshu.stats.descriptive.moment.Variance

Construct an empty Variance calculator.

Variance(double[], boolean) - Constructor for class com.numericalmethod.suanshu.stats.descriptive.moment.Variance

Construct a Variance calculator, initialized with a sample.

Variance(double[]) - Constructor for class com.numericalmethod.suanshu.stats.descriptive.moment.Variance

Construct an unbiased Variance calculator.

Variance(Variance) - Constructor for class com.numericalmethod.suanshu.stats.descriptive.moment.Variance

Copy constructor.

variance() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.BetaDistribution

variance() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.ChiSquareDistribution

variance() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.EmpiricalDistribution

variance() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.ExponentialDistribution

variance() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.FDistribution

Get the variance of this distribution.

variance() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.GammaDistribution

variance() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.NormalDistribution

variance() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.RayleighDistribution

variance() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.TDistribution

Get the variance of this distribution.

variance() - Method in interface com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution

Get the variance of this distribution.

variance() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.WeibullDistribution

variance(double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Binomial

variance(double) - Method in interface com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.ExponentialDistribution

The variance function of the distribution in terms of the mean μ.

variance(double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Gamma

variance(double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Gaussian

variance(double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.InverseGaussian

variance(double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Poisson

variance - Variable in class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Expectation

the variance of the integral

variance() - Method in class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Expectation

Get the integral variance.

variance() - Method in class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution

Deprecated. Not supported yet.

variance() - Method in class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution

Deprecated. Not supported yet.

variance() - Method in class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution

Deprecated. Not supported yet.

variance() - Method in class com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution

Deprecated. Not supported yet.

variance() - Method in class com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution

variance() - Method in class com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution

VarxModel - Class in com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma

This class represents a VARX (VAR model with eXogenous inputs) model.

VarxModel(Vector, Matrix[], Matrix, Matrix) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VarxModel

Construct a VARX model.

VarxModel(Vector, Matrix[], Matrix) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VarxModel

Construct a VARX model with unit variance.

VarxModel(Matrix[], Matrix, Matrix) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VarxModel

Construct a zero-mean VARX model.

VarxModel(Matrix[], Matrix) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VarxModel

Construct a zero-mean VARX model with unit variance.

VarxModel(VecmTransitory) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VarxModel

Construct a VARX(p) from a transitory VECM(p).

VarxModel(VecmLongrun) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VarxModel

Construct a VARX(p) from a long-run VECM(p).

VarxModel(VarxModel) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VarxModel

Copy constructor.

Vecm - Class in com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma

This class represents a Vector Error Correction Model (VECM).

Vecm(Vector, Matrix, Matrix[], Matrix, Matrix) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.Vecm

Construct a VECM(p) model.

Vecm(Vecm) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.Vecm

Copy constructor.

VecmLongrun - Class in com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma

This class represents a long-run Vector Error Correction Model (VECM).

VecmLongrun(Vector, Matrix, Matrix[], Matrix, Matrix) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VecmLongrun

Construct a long-run VECM(p) model.

VecmLongrun(Matrix, Matrix[], Matrix, Matrix) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VecmLongrun

Construct a zero-intercept (mu) long-run VECM(p) model.

VecmLongrun(VarxModel) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VecmLongrun

Construct a long-run VECM(p) from a VARX(p).

VecmLongrun(VecmLongrun) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VecmLongrun

Copy constructor.

VecmTransitory - Class in com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma

This class represents a transitory Vector Error Correction Model (VECM).

VecmTransitory(Vector, Matrix, Matrix[], Matrix, Matrix) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VecmTransitory

Construct a transitory VECM(p) model.

VecmTransitory(Matrix, Matrix[], Matrix, Matrix) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VecmTransitory

Construct a zero-intercept (mu) transitory VECM(p) model.

VecmTransitory(VarxModel) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VecmTransitory

VecmTransitory(VecmTransitory) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VecmTransitory

Copy constructor.

Vector - Interface in com.numericalmethod.suanshu.vector.doubles

A Euclidean vector is a geometric object that has both a magnitude/length and direction.

VectorList - Class in com.numericalmethod.suanshu.datastructure.list

This data structure represents a list of Vectors.

VectorList() - Constructor for class com.numericalmethod.suanshu.datastructure.list.VectorList

Construct an empty list of Vectors.

VectorList(VectorList) - Constructor for class com.numericalmethod.suanshu.datastructure.list.VectorList

Copy constructor to copy from another list of Vectors.

VectorList(Vector[]) - Constructor for class com.numericalmethod.suanshu.datastructure.list.VectorList

Copy constructor to copy from an array of Vectors.

VectorSpace<V,F extends Field<F>> - Interface in com.numericalmethod.suanshu.mathstructure

This interface represents a vector space.

VectorSpace - Class in com.numericalmethod.suanshu.vector.doubles.dense.operation

A vector space is a set of vectors that are closed under some operations.

VectorSpace(VectorList, double) - Constructor for class com.numericalmethod.suanshu.vector.doubles.dense.operation.VectorSpace

Construct a vector space from a list of vectors.

VectorSpace(VectorList) - Constructor for class com.numericalmethod.suanshu.vector.doubles.dense.operation.VectorSpace

Construct a vector space from a list of vectors.

VectorSpace(double, Vector...) - Constructor for class com.numericalmethod.suanshu.vector.doubles.dense.operation.VectorSpace

Construct a vector space from an array of vectors.

VectorSpace(Vector...) - Constructor for class com.numericalmethod.suanshu.vector.doubles.dense.operation.VectorSpace

Construct a vector space from an array of vectors.

VectorSpace(Matrix, double) - Constructor for class com.numericalmethod.suanshu.vector.doubles.dense.operation.VectorSpace

Construct a vector space from a matrix (a set of column vectors).

VectorSpace(Matrix) - Constructor for class com.numericalmethod.suanshu.vector.doubles.dense.operation.VectorSpace

Construct a vector space from a matrix (a set of column vectors).

version() - Static method in class com.numericalmethod.suanshu.license.License

Get the version number.