Deprecated API

Contents

• Deprecated Classes
• Deprecated Methods
• Deprecated Constructors

Deprecated Classes

Class and Description
com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFAsymptoticDistribution1 use instead ADFAsymptoticDistribution
com.numericalmethod.suanshu.stats.test.timeseries.portmanteau.BoxPierce use LjungBox
com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantSigma2 This implementation is slow. Use ConstantSigma1 instead.
com.numericalmethod.suanshu.stats.random.rng.univariate.gamma.InverseTransformSamplingGammaRNG There exist much more efficient algorithms.
com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.McCormickMinimizer the McCormick algorithm does not seem to work well; need further investigation; don't use it. TODO. Use BFGSMinimizer instead.
com.numericalmethod.suanshu.stats.random.rng.univariate.beta.VanDerWaerden1969 Cheng1978 is a much better algorithm.

Deprecated Methods

Method and Description
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution.density(double)
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution.density(double)
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.density(double)
com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution.density(double)
com.numericalmethod.suanshu.stats.distribution.univariate.EmpiricalDistribution.entropy() Not supported yet.
com.numericalmethod.suanshu.stats.distribution.univariate.GammaDistribution.entropy() Not supported yet.
com.numericalmethod.suanshu.stats.distribution.univariate.FDistribution.entropy() Not supported yet.
com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution.entropy()
com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution.entropy()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution.entropy()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution.entropy()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.entropy()
com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution.entropy()
com.numericalmethod.suanshu.algebra.linear.vector.doubles.operation.RealVectorSpace.getLinearSpan(double...) Not supported yet.
com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.linear.LinearEqualityConstraints.getReducedLinearEqualityConstraints() Not supported yet.
com.numericalmethod.suanshu.misc.algorithm.BruteForce.getResultsSerially(List<D>)
com.numericalmethod.suanshu.number.complex.Complex.intValue() Invalid operation.
com.numericalmethod.suanshu.algebra.linear.vector.doubles.operation.RealVectorSpace.isInKernel(Vector) Not supported yet.
com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixPropertyUtils.isMagicSquare(Matrix) Not supported yet.
com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixPropertyUtils.isScalar(Matrix, double) Not supported yet.
com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution.kurtosis()
com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution.kurtosis()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution.kurtosis()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution.kurtosis()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.kurtosis()
com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution.kurtosis()
com.numericalmethod.suanshu.number.complex.Complex.longValue() Invalid operation.
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution.mean()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution.mean()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.mean()
com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution.mean()
com.numericalmethod.suanshu.stats.distribution.univariate.FDistribution.median() Not supported yet.
com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution.median()
com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution.median()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution.median()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution.median()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.median()
com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution.median()
com.numericalmethod.suanshu.optimization.multivariate.unconstrained.BruteForceMinimizer.Solution.minimum()
com.numericalmethod.suanshu.stats.distribution.univariate.BetaDistribution.moment(double) Not supported yet.
com.numericalmethod.suanshu.stats.distribution.univariate.EmpiricalDistribution.moment(double) Not supported yet.
com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution.moment(double)
com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution.moment(double)
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution.moment(double)
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution.moment(double)
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.moment(double)
com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution.moment(double)
com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.MatrixMeasure.nullity(Matrix) Not supported yet.
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution.quantile(double)
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.quantile(double)
com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution.quantile(double)
com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.Hessenberg.reduce(Matrix) Not supported yet.
com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.GivensMatrix.rotate(Vector) Not supported yet.
com.numericalmethod.suanshu.algebra.linear.vector.doubles.SubVectorRef.set(int, double)
com.numericalmethod.suanshu.algebra.linear.vector.doubles.CombinedVectorByRef.set(int, double)
com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.GivensMatrix.set(int, int, double) GivensMatrix is immutable
com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.PermutationMatrix.set(int, int, double) use the swap functions instead
com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.ElementaryOperation.set(int, int, double)
com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.SubMatrixRef.set(int, int, double) SubMatrixRef is immutable
com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution.skew()
com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution.skew()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution.skew()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution.skew()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.skew()
com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution.skew()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution.variance()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution.variance()
com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.variance()
com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution.variance()
com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.GivensMatrix.ZERO() no zero matrix for GivensMatrix

Deprecated Constructors

Constructor and Description
com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.McCormickMinimizer(double, int) the McCormick algorithm does not seem to work well; need further investigation; don't use it. TODO. Use BFGSMinimizer instead.