Deprecated List (JMSL Numerical Library (jmsl) 2021.0.0 API)

Deprecated Interfaces
Interface and Description
com.imsl.math.MinConNonlin.Function `MinConNonlin` has been replaced by `MinConNLP`.
com.imsl.math.MinConNonlin.Gradient `MinConNonlin` has been replaced by `MinConNLP`.
com.imsl.math.ZeroFunction.Function `ZeroFunction` has been replaced by `ZerosFunction`.

Deprecated Classes
Class and Description
com.imsl.stat.ARAutoUnivariate.Formatter Use `IMSLFormatter` instead.
com.imsl.math.GenMinRes.Formatter Use `IMSLFormatter` instead.
com.imsl.math.LinearProgramming `LinearProgramming` has been replaced by `DenseLP`.
com.imsl.test.example.math.LinearProgrammingEx1 `LinearProgramming` class has been deprecated.
com.imsl.test.example.math.LinearProgrammingEx2 `LinearProgramming` class has been deprecated.
com.imsl.math.MinConNLP.Formatter Use `IMSLFormatter` instead.
com.imsl.math.MinConNonlin `MinConNonlin` has been replaced by `MinConNLP`.
com.imsl.math.ZeroFunction `ZeroFunction` has been replaced by `ZerosFunction`.
com.imsl.test.example.math.ZeroFunctionEx1 `ZeroFunction` class has been deprecated.

Deprecated Exceptions
Exceptions and Description
com.imsl.stat.ClusterKMeans.NonnegativeFreqException No longer used, replaced with an `IllegalArgumentException`.
com.imsl.stat.ClusterKMeans.NonnegativeWeightException No longer used, replaced with an `IllegalArgumentException`.
com.imsl.stat.Covariances.DiffObsDeletedException
com.imsl.stat.Covariances.MoreObsDelThanEnteredException
com.imsl.stat.Covariances.TooManyObsDeletedException
com.imsl.math.DenseLP.WrongConstraintTypeException No longer used, replaced with an `IllegalArgumentException`.
com.imsl.math.LinearProgramming.BoundsInconsistentException
com.imsl.math.LinearProgramming.NumericDifficultyException
com.imsl.math.LinearProgramming.ProblemInfeasibleException
com.imsl.math.LinearProgramming.ProblemUnboundedException
com.imsl.math.LinearProgramming.WrongConstraintTypeException No longer used, replaced with an `IllegalArgumentException`.
com.imsl.math.MinConNonlin.LineSearchException `MinConNonlin` has been replaced by `MinConNLP`.
com.imsl.math.MinConNonlin.QPConstraintsException `MinConNonlin` has been replaced by `MinConNLP`.
com.imsl.math.MinConNonlin.TooManyIterationsException `MinConNonlin` has been replaced by `MinConNLP`.
com.imsl.math.MinConNonlin.UphillSearchCalcException `MinConNonlin` has been replaced by `MinConNLP`.
com.imsl.math.MinConNonlin.ZeroSearchDirectionException `MinConNonlin` has been replaced by `MinConNLP`.

Deprecated Methods
Method and Description
com.imsl.stat.Cdf.betaProb(double, double, double) Use `Pdf.beta(double, double, double)` instead.
com.imsl.stat.Cdf.binomialProb(int, int, double) Use `Pdf.binomial(int, int, double)` instead.
com.imsl.stat.Random.canonicalCorrelationSTC(double, double[][], double[][])
com.imsl.math.ComplexMatrix.CheckMatrix(Complex[][]) Use `ComplexMatrix.checkMatrix(Complex[][])` instead.
com.imsl.math.Matrix.CheckMatrix(double[][]) Use `Matrix.checkMatrix(double[][])` instead.
com.imsl.math.ComplexMatrix.CheckSquareMatrix(Complex[][]) Use `ComplexMatrix.checkSquareMatrix(Complex[][])` instead.
com.imsl.math.Matrix.CheckSquareMatrix(double[][]) Use `Matrix.checkSquareMatrix(double[][])` instead.
com.imsl.stat.Cdf.chiProb(double, double) Use `Pdf.chi(double, double)` instead.
com.imsl.stat.Cdf.discreteUniformProb(int, int) Use `Pdf.discreteUniform(int, int)` instead.
com.imsl.stat.Cdf.exponentialProb(double, double) Use `Pdf.exponential(double, double)` instead.
com.imsl.stat.Cdf.extremeValueProb(double, double, double) Use `Pdf.extremeValue(double, double, double)` instead.
com.imsl.stat.Cdf.FProb(double, double, double) Use `Pdf.F(double, double, double)` instead.
com.imsl.stat.Cdf.gammaProb(double, double, double) Use `Pdf.gamma(double, double, double)` instead.
com.imsl.stat.Cdf.geometricProb(int, double) Use `Pdf.geometric(int, double)` instead.
com.imsl.stat.GARCH.getAR() Use `GARCH.getGARCH()` instead.
com.imsl.io.AbstractFlatFile.getArray(int)
com.imsl.io.AbstractFlatFile.getBigDecimal(int, int)
com.imsl.io.AbstractFlatFile.getBigDecimal(String, int)
com.imsl.stat.LinearRegression.CaseStatistics.getCaseStatistics() Recommend using specific getter methods.
com.imsl.finance.BasisPart.getDaysInYear(GregorianCalendar, GregorianCalendar) Use `BasisPart.getDaysInYear(GregorianCalendar)` instead.
com.imsl.stat.ANOVA.getDunnSidak(int, int) Use `ANOVA.getConfidenceInterval(double, int, int, int)` instead.
com.imsl.math.MinConGenLin.getLagrangeMultiplerEst() Method name misspelled. Use `MinConGenLin.getLagrangeMultiplierEst()` instead.
com.imsl.stat.GARCH.getMA() Use `GARCH.getARCH()` instead.
com.imsl.stat.ARMA.getMeanEstimate() Use `ARMA.getMean()` instead.
com.imsl.datamining.BootstrapAggregation.getMeanSquaredPredictionError() Renamed to `BootstrapAggregation.getPredictionError()`.
com.imsl.stat.distributions.NormalPD.getMLEs(double[]) Use `NormalPD.getClosedFormMLE(double[])` instead.
com.imsl.stat.DiscriminantAnalysis.getNRowsMissing() Use `DiscriminantAnalysis.getNumberOfRowsMissing()` instead.
com.imsl.io.AbstractFlatFile.getUnicodeStream(int) Use `AbstractFlatFile.getCharacterStream(int)` instead.
com.imsl.io.AbstractFlatFile.getUnicodeStream(String) Use `AbstractFlatFile.getCharacterStream(String)` instead.
com.imsl.stat.Cdf.hypergeometricProb(int, int, int, int) Use `Pdf.hypergeometric(int, int, int, int)` instead.
com.imsl.math.SVD.inverse() Method name does not adhere to the Java naming conventions. Use `SVD.getInverse()` instead.
com.imsl.stat.Cdf.inverseBeta(double, double, double) Use `InvCdf.beta(double, double, double)` instead.
com.imsl.stat.Cdf.inverseChi(double, double) Use `InvCdf.chi(double, double)` instead.
com.imsl.stat.Cdf.inverseDiscreteUniform(double, int) Use `InvCdf.discreteUniform(double, int)` instead.
com.imsl.stat.Cdf.inverseExponential(double, double) Use `InvCdf.exponential(double, double)` instead.
com.imsl.stat.Cdf.inverseExtremeValue(double, double, double) Use `InvCdf.extremeValue(double, double, double)` instead.
com.imsl.stat.Cdf.inverseF(double, double, double) Use `InvCdf.F(double, double, double)` instead.
com.imsl.stat.Cdf.inverseGamma(double, double) Use `InvCdf.gamma(double, double)` instead.
com.imsl.stat.Cdf.inverseGeometric(double, double) Use `InvCdf.geometric(double, double)` instead.
com.imsl.stat.Cdf.inverseLogNormal(double, double, double) Use `InvCdf.logNormal(double, double, double)` instead.
com.imsl.stat.Cdf.inverseNoncentralchi(double, double, double) Use `InvCdf.noncentralchi(double, double, double)` instead.
com.imsl.stat.Cdf.inverseNoncentralstudentsT(double, int, double) Use `InvCdf.noncentralstudentsT(double, int, double)` instead.
com.imsl.stat.Cdf.inverseNormal(double) Use `InvCdf.normal(double)` instead.
com.imsl.stat.Cdf.inverseRayleigh(double, double) Use `InvCdf.Rayleigh(double, double)` instead.
com.imsl.stat.Cdf.inverseStudentsT(double, double) Use `InvCdf.studentsT(double, double)` instead.
com.imsl.stat.Cdf.inverseUniform(double, double, double) Use `InvCdf.uniform(double, double, double)` instead.
com.imsl.stat.Cdf.inverseWeibull(double, double, double) Use `InvCdf.Weibull(double, double, double)` instead.
com.imsl.math.Sfun.logGammaCorrection(double)
com.imsl.stat.Cdf.logNormalProb(double, double, double) Use `Pdf.logNormal(double, double, double)` instead.
com.imsl.stat.Random.nextGaussianCopula(int, Cholesky) Use `Random.nextGaussianCopula(Cholesky)` instead.
com.imsl.stat.Random.nextMultivariateNormal(int, Cholesky) Use `Random.nextMultivariateNormal(Cholesky)` instead.
com.imsl.stat.Random.nextNormalAR()
com.imsl.stat.Random.nextStudentsTCopula(int, double, Cholesky) Use `Random.nextStudentsTCopula(double, Cholesky)` instead.
com.imsl.stat.Cdf.poissonProb(int, double) Use `Pdf.poisson(int, double)` instead.
com.imsl.math.Sfun.r9lgmc(double)
com.imsl.stat.Cdf.RayleighProb(double, double) Use `Pdf.Rayleigh(double, double)` instead.
com.imsl.stat.distributions.MaximumLikelihoodEstimation.setExact(boolean) use `MaximumLikelihoodEstimation.setUseAnalytic(boolean)` instead
com.imsl.stat.ARMA.setMeanEstimate(double) Use `ARMA.setMean(double)` instead.
com.imsl.stat.InvCdf.uniform(double, double, double) use `InvCdf.continuousUniform(double, double, double)` instead
com.imsl.stat.Cdf.uniform(double, double, double) use `Cdf.continuousUniform(double, double, double)` instead
com.imsl.stat.DiscriminantAnalysis.update(double[][]) Use `DiscriminantAnalysis.update(double[][], int[])` instead.
com.imsl.stat.DiscriminantAnalysis.update(double[][], double[], double[]) Use `DiscriminantAnalysis.update(double[][], int[], int[], double[])` instead.
com.imsl.stat.DiscriminantAnalysis.update(double[][], int) Use `DiscriminantAnalysis.update(double[][], int[])` instead.
com.imsl.stat.DiscriminantAnalysis.update(double[][], int[], double[], double[]) Use `DiscriminantAnalysis.update(double[][], int[], int[], int[], double[])` instead.
com.imsl.stat.DiscriminantAnalysis.update(double[][], int, double[], double[]) Use `DiscriminantAnalysis.update(double[][], int[], int[], double[])` instead.
com.imsl.stat.DiscriminantAnalysis.update(double[][], int, int[]) Use `DiscriminantAnalysis.update(double[][], int[], int[])` instead.
com.imsl.stat.DiscriminantAnalysis.update(double[][], int, int[], double[], double[]) Use `DiscriminantAnalysis.update(double [][], int[], int[], int[], double[])` instead.
com.imsl.stat.Cdf.WeibullProb(double, double, double) Use `Pdf.Weibull(double, double, double)` instead.

Deprecated Constructors
Constructor and Description
com.imsl.stat.LinearRegression.CaseStatistics(double[], double) The `CaseStatistics` constructors have been deprecated in favor of getter methods in `LinearRegression`.
com.imsl.stat.LinearRegression.CaseStatistics(double[], double, double) The `CaseStatistics` constructors have been deprecated in favor of getter methods in `LinearRegression`.
com.imsl.stat.LinearRegression.CaseStatistics(double[], double, double, int) The `CaseStatistics` constructors have been deprecated in favor of getter methods in `LinearRegression`.
com.imsl.stat.LinearRegression.CaseStatistics(double[], double, int) The `CaseStatistics` constructors have been deprecated in favor of getter methods in `LinearRegression`.
com.imsl.stat.ClusterHierarchical(double[][], int, int) Use `ClusterHierarchical.ClusterHierarchical(double[][])` instead.
com.imsl.stat.Dissimilarities(double[][], int, int, int) Use `Dissimilarities.Dissimilarities(double[][])` instead.
com.imsl.stat.Dissimilarities(double[][], int, int, int, int[]) Use `Dissimilarities.Dissimilarities(double[][])` instead.
com.imsl.math.Eigen(double[][]) Use `Eigen.Eigen()` instead.
com.imsl.math.Eigen(double[][], boolean) Use `Eigen.Eigen()` instead.
com.imsl.stat.KalmanFilter(double[], double[], int, double, double) Use `KalmanFilter.KalmanFilter(double[], double[][], int, double, double)` instead.

Deprecated API

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