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io.deephaven : SuanShu

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Apr 17, 2021
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io.deephaven:SuanShu · Extension of original open-sourced math library, SuanShu.

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Version Vulnerabilities Size Updated
0.1.x
SuanShu-0.1.0.jar

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  1. Download JD-GUI to open JAR file and explore Java source code file (.class .java)
  2. Click menu "File → Open File..." or just drag-and-drop the JAR file in the JD-GUI window SuanShu-0.1.0.jar file.
    Once you open a JAR file, all the java classes in the JAR file will be displayed.

com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.AutoCorrelation.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.AutoCovariance.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.PartialAutoCorrelation.class - [JAR]

com.numericalmethod.suanshu.stats.random.univariate.gamma

├─ com.numericalmethod.suanshu.stats.random.univariate.gamma.InverseTransformSamplingGammaRng.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.gamma.KunduGupta2007.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.gamma.MarsagliaTsang2000.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.gamma.RandomGammaGenerator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.gamma.XiTanLiu2010a.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.gamma.XiTanLiu2010b.class - [JAR]

com.numericalmethod.suanshu.analysis.function

├─ com.numericalmethod.suanshu.analysis.function.Function.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.FunctionOps.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.SubFunction.class - [JAR]

com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Binomial.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Gamma.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Gaussian.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.InverseGaussian.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Poisson.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiFamily.class - [JAR]

com.numericalmethod.suanshu.analysis.function.matrix

├─ com.numericalmethod.suanshu.analysis.function.matrix.R1toConstantMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.matrix.R1toMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.matrix.R2toMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.matrix.RntoMatrix.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.InnovationAlgorithm.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.InnovationAlgorithmImpl.class - [JAR]

com.numericalmethod.suanshu.number

├─ com.numericalmethod.suanshu.number.Counter.class - [JAR]

├─ com.numericalmethod.suanshu.number.DoubleUtils.class - [JAR]

├─ com.numericalmethod.suanshu.number.NumberUtils.class - [JAR]

├─ com.numericalmethod.suanshu.number.Real.class - [JAR]

├─ com.numericalmethod.suanshu.number.ScientificNotation.class - [JAR]

com.numericalmethod.suanshu.stats.sampling.discrete

├─ com.numericalmethod.suanshu.stats.sampling.discrete.DiscreteSampling.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.FerrisMangasarianWrightPhase2.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPCanonicalSolver.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPTwoPhaseSolver.class - [JAR]

com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Best1Bin.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Best2Bin.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptim.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptimCellFactory.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Rand1Bin.class - [JAR]

com.numericalmethod.suanshu.optimization.univariate.bracketsearch

├─ com.numericalmethod.suanshu.optimization.univariate.bracketsearch.BracketSearch.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Brent.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Fibonacci.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Golden.class - [JAR]

com.numericalmethod.suanshu.optimization.unconstrained.linesearch

├─ com.numericalmethod.suanshu.optimization.unconstrained.linesearch.Fletcher.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.linesearch.LineSearch.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.coefficients

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.coefficients.Diffusion.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.coefficients.Drift.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.CanonicalLPProblem1.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.CanonicalLPProblem2.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.LPProblem.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.LPProblemImpl1.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.StandardLPProblem.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint

├─ com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation1.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation2.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetSolverForOnlyEqualityConstraint1.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetSolverForOnlyEqualityConstraint2.class - [JAR]

com.numericalmethod.suanshu.stats.descriptive.moment

├─ com.numericalmethod.suanshu.stats.descriptive.moment.Kurtosis.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.moment.Mean.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.moment.Moments.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.moment.Skewness.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.moment.Variance.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.univariate

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.Realization.class - [JAR]

com.numericalmethod.suanshu.stats.test.distribution.pearson

├─ com.numericalmethod.suanshu.stats.test.distribution.pearson.AS159.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.pearson.ChiSquare4Independence.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.pearson.FisherExactDistribution.class - [JAR]

com.numericalmethod.suanshu.analysis.differentiation.differentiability

├─ com.numericalmethod.suanshu.analysis.differentiation.differentiability.C1.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.differentiability.C2.class - [JAR]

com.numericalmethod.suanshu.optimization.univariate

├─ com.numericalmethod.suanshu.optimization.univariate.GridSearch.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer.class - [JAR]

com.numericalmethod.suanshu.stats.random

├─ com.numericalmethod.suanshu.stats.random.RngUtils.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientStabilizedSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalErrorSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalResidualSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSquaredSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedConjugateResidualSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedMinimalResidualSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.MinimalResidualSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.QuasiMinimalResidualSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.SteepestDescentSolver.class - [JAR]

com.numericalmethod.suanshu.stats.random.univariate.uniform

├─ com.numericalmethod.suanshu.stats.random.univariate.uniform.MWC8222.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.uniform.MersenneTwister.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.uniform.SHR0.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.uniform.SHR3.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.uniform.UniformRng.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.factorization.triangle

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.Cholesky.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.Doolittle.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LDL.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LU.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LUDecomposition.class - [JAR]

com.numericalmethod.suanshu.stats.random.univariate.normal

├─ com.numericalmethod.suanshu.stats.random.univariate.normal.BoxMuller.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.normal.MarsagliaBray1964.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.normal.NormalRng.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.normal.RandomStandardNormalNumberGenerator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.normal.StandardNormalRng.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.normal.Ziggurat2000.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.normal.Zignor2005.class - [JAR]

com.numericalmethod.suanshu.stats.cointegration

├─ com.numericalmethod.suanshu.stats.cointegration.AuxiliaryRegression.class - [JAR]

├─ com.numericalmethod.suanshu.stats.cointegration.AuxiliaryRegression1.class - [JAR]

├─ com.numericalmethod.suanshu.stats.cointegration.AuxiliaryRegression2.class - [JAR]

├─ com.numericalmethod.suanshu.stats.cointegration.CointegrationMLE.class - [JAR]

├─ com.numericalmethod.suanshu.stats.cointegration.F_CONSTANT.class - [JAR]

├─ com.numericalmethod.suanshu.stats.cointegration.F_CONSTANT_RESTRICTED_TIME.class - [JAR]

├─ com.numericalmethod.suanshu.stats.cointegration.F_CONSTANT_TIME.class - [JAR]

├─ com.numericalmethod.suanshu.stats.cointegration.F_NO_CONSTANT.class - [JAR]

├─ com.numericalmethod.suanshu.stats.cointegration.F_RESTRICTED_CONSTANT.class - [JAR]

├─ com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.cointegration.JohansenTest.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint.PrimalDualInteriorPoint.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint.PrimalDualSolution.class - [JAR]

com.numericalmethod.suanshu.algorithm.iterative.tolerance

├─ com.numericalmethod.suanshu.algorithm.iterative.tolerance.AbsoluteTolerance.class - [JAR]

├─ com.numericalmethod.suanshu.algorithm.iterative.tolerance.RelativeTolerance.class - [JAR]

├─ com.numericalmethod.suanshu.algorithm.iterative.tolerance.Tolerance.class - [JAR]

com.numericalmethod.suanshu.stats.random.univariate.beta

├─ com.numericalmethod.suanshu.stats.random.univariate.beta.Cheng1978.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.beta.RandomBetaGenerator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.beta.VanDerWaerden1969.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.GaussSeidelSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.JacobiSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SORSweep.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SuccessiveOverrelaxationSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SymmetricSuccessiveOverrelaxationSolver.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMAModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMASim.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMAXModel.class - [JAR]

com.numericalmethod.suanshu.stats.regression.linear.modelselection

├─ com.numericalmethod.suanshu.stats.regression.linear.modelselection.Backward.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.modelselection.Forward.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.modelselection.SingleFactorSelection.class - [JAR]

com.numericalmethod.suanshu.stats.random.univariate

├─ com.numericalmethod.suanshu.stats.random.univariate.BinomialRng.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.InverseTransformSampling.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.LogNormalRng.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.RandomLongGenerator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.RandomNumberGenerator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.RayleighRng.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.WeibullRng.class - [JAR]

com.numericalmethod.suanshu.vector.doubles.dense

├─ com.numericalmethod.suanshu.vector.doubles.dense.DenseVector.class - [JAR]

├─ com.numericalmethod.suanshu.vector.doubles.dense.VectorMathOperation.class - [JAR]

com.numericalmethod.suanshu.stats.regression.linear.glm.quasi

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.Beta.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.GeneralizedLinearModelQuasiFamily.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.NewtonRaphson.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.QuasiGlmProblem.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.Residuals.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles

├─ com.numericalmethod.suanshu.matrix.doubles.AreMatrices.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.ImmutableMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.IsMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.Matrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.MatrixAccess.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.MatrixRing.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.MatrixTable.class - [JAR]

com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.DoubleExponential.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.DoubleExponential4HalfRealLine.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.DoubleExponential4RealLine.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.Exponential.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.InvertingVariable.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.MixedRule.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.NoChangeOfVariable.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.PowerLawSingularity.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.StandardInterval.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.factorization.qr

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.qr.GramSchmidt.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.qr.HouseholderReflection.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QR.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QRDecomposition.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.LPMinimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.LPSolution.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.LPSolver.class - [JAR]

com.numericalmethod.suanshu.algorithm.iterative.monitor

├─ com.numericalmethod.suanshu.algorithm.iterative.monitor.CountMonitor.class - [JAR]

├─ com.numericalmethod.suanshu.algorithm.iterative.monitor.IteratesMonitor.class - [JAR]

├─ com.numericalmethod.suanshu.algorithm.iterative.monitor.IterationMonitor.class - [JAR]

├─ com.numericalmethod.suanshu.algorithm.iterative.monitor.NullMonitor.class - [JAR]

├─ com.numericalmethod.suanshu.algorithm.iterative.monitor.VectorMonitor.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.AdditiveModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.InnovationAlgorithm.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.MADecomposition.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.MultiplicativeModel.class - [JAR]

com.numericalmethod.suanshu.interval

├─ com.numericalmethod.suanshu.interval.Interval.class - [JAR]

├─ com.numericalmethod.suanshu.interval.IntervalRelation.class - [JAR]

├─ com.numericalmethod.suanshu.interval.Intervals.class - [JAR]

├─ com.numericalmethod.suanshu.interval.RealInterval.class - [JAR]

com.numericalmethod.suanshu.algorithm

├─ com.numericalmethod.suanshu.algorithm.Combination.class - [JAR]

com.numericalmethod.suanshu.stats.distribution

├─ com.numericalmethod.suanshu.stats.distribution.ProbabilityMassFunction.class - [JAR]

com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.RealScalarFunctionChromosome.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer.class - [JAR]

com.numericalmethod.suanshu.stats.regression.linear.glm

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.Beta.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.Fitting.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.GLMProblem.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.GeneralizedLinearModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.IWLS.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.Residuals.class - [JAR]

com.numericalmethod.suanshu.matrix

├─ com.numericalmethod.suanshu.matrix.MatrixAccessException.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.MatrixMismatchException.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.MatrixSingularityException.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.constraint

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.Constraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.ConstraintsUtils.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.EqualityConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.GreaterThanConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.LessThanConstraints.class - [JAR]

com.numericalmethod.suanshu.stats.markovchain

├─ com.numericalmethod.suanshu.stats.markovchain.MCUtils.class - [JAR]

├─ com.numericalmethod.suanshu.stats.markovchain.SimpleMC.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.ParallelMatrixMathOperation.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.SimpleMatrixMathOperation.class - [JAR]

com.numericalmethod.suanshu.analysis.function.tuple

├─ com.numericalmethod.suanshu.analysis.function.tuple.BinaryRelation.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.tuple.OrderedPairs.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.tuple.Pair.class - [JAR]

com.numericalmethod.suanshu.optimization.initialization

├─ com.numericalmethod.suanshu.optimization.initialization.BuildInitials.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.initialization.DefaultSimplex.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.initialization.UniformDistributionOverBox1.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.initialization.UniformDistributionOverBox2.class - [JAR]

com.numericalmethod.suanshu.matrix.generic

├─ com.numericalmethod.suanshu.matrix.generic.Matrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.generic.MatrixAccess.class - [JAR]

com.numericalmethod.suanshu.stats.test.variance

├─ com.numericalmethod.suanshu.stats.test.variance.Bartlett.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.variance.BrownForsythe.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.variance.F.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.variance.Levene.class - [JAR]

com.numericalmethod.suanshu.stats.random.concurrent

├─ com.numericalmethod.suanshu.stats.random.concurrent.AtomicIndexedList.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedGenerator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedRLG.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedRNG.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedRVG.class - [JAR]

com.numericalmethod.suanshu.analysis.function.special.gamma

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.Digamma.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.Gamma.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.GammaGergoNemes.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.GammaLanczos.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.GammaLanczosQuick.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.GammaLowerIncomplete.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.GammaRegularizedP.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.GammaRegularizedPInverse.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.GammaRegularizedQ.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.GammaUpperIncomplete.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.Lanczos.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.LogGamma.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gamma.Trigamma.class - [JAR]

com.numericalmethod.suanshu.stats.regression.linear

├─ com.numericalmethod.suanshu.stats.regression.linear.Beta.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.LMProblem.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.Residuals.class - [JAR]

com.numericalmethod.suanshu.parallel

├─ com.numericalmethod.suanshu.parallel.IterationBody.class - [JAR]

├─ com.numericalmethod.suanshu.parallel.LoopBody.class - [JAR]

├─ com.numericalmethod.suanshu.parallel.MultipleExecutionException.class - [JAR]

├─ com.numericalmethod.suanshu.parallel.Mutex.class - [JAR]

├─ com.numericalmethod.suanshu.parallel.ParallelExecutor.class - [JAR]

├─ com.numericalmethod.suanshu.parallel.Reference.class - [JAR]

├─ com.numericalmethod.suanshu.parallel.SynchronizedIterator.class - [JAR]

com.numericalmethod.suanshu.stats.test.rank.wilcoxon

├─ com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSum.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRank.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution.class - [JAR]

com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity

├─ com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.BreuschPagan.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.Glejser.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.HarveyGodfrey.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.Heteroskedasticity.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.White.class - [JAR]

com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JTFixedShift.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JTFixedShiftStep.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JTNoShift.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JTRemoveOriginZeros.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JTStep.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JTUtils.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JTVariableShiftLinear.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JTVariableShiftQuadratic.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JenkinsTraubReal.class - [JAR]

com.numericalmethod.suanshu.analysis.sequence

├─ com.numericalmethod.suanshu.analysis.sequence.Fibonacci.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.sequence.Sequence.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.sequence.Summation.class - [JAR]

com.numericalmethod.suanshu.stats.distribution.univariate

├─ com.numericalmethod.suanshu.stats.distribution.univariate.BetaDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.BinomialDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.ChiSquareDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.EmpiricalDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.ExponentialDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.FDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.GammaDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.LogNormalDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.NormalDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.PoissonDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.RayleighDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.TDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.distribution.univariate.WeibullDistribution.class - [JAR]

com.numericalmethod.suanshu.analysis.integration.univariate

├─ com.numericalmethod.suanshu.analysis.integration.univariate.Lebesgue.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime

├─ com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateRealization.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateTimeSeries.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.SimpleMultiVariateTimeSeries.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries

├─ com.numericalmethod.suanshu.stats.timeseries.DateTimeGenericTimeSeries.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.TimeSeries.class - [JAR]

com.numericalmethod.suanshu.analysis.differentiation.univariate

├─ com.numericalmethod.suanshu.analysis.differentiation.univariate.DBeta.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.univariate.DBetaRegularized.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.univariate.DErf.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.univariate.DGamma.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.univariate.DGaussian.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.univariate.DPolynomial.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.univariate.Dfdx.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.univariate.FiniteDifference.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.brownian

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.brownian.Brownian.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.brownian.RandomWalk.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima.ARIMAModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima.ARIMASim.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima.ARIMAXModel.class - [JAR]

com.numericalmethod.suanshu.optimization.problem

├─ com.numericalmethod.suanshu.optimization.problem.C2OptimProblem.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.problem.C2OptimProblemImpl.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.problem.IterativeMinimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.problem.MinimizationSolution.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.problem.OptimProblem.class - [JAR]

com.numericalmethod.suanshu.optimization.unconstrained

├─ com.numericalmethod.suanshu.optimization.unconstrained.MultivariateMaximizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.MultivariateMinimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.NelderMead.class - [JAR]

com.numericalmethod.suanshu.stats.test.timeseries.adf

├─ com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFAsymptoticDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFAsymptoticDistribution1.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFDistributionSupport.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFDistributionSupport_CONSTANT_TIME_lag0.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFDistributionSupport_CONSTANT_lag0.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFDistributionSupport_NO_CONSTANT_lag0.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFFiniteSampleDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.timeseries.adf.AugmentedDickeyFuller.class - [JAR]

com.numericalmethod.suanshu.optimization

├─ com.numericalmethod.suanshu.optimization.Minimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.Optimizer.class - [JAR]

com.numericalmethod.suanshu.stats.sampling.resampling

├─ com.numericalmethod.suanshu.stats.sampling.resampling.Resampling.class - [JAR]

com.numericalmethod.suanshu.analysis.function.special.gaussian

├─ com.numericalmethod.suanshu.analysis.function.special.gaussian.CumulativeNormalHastings.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gaussian.CumulativeNormalInverse.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gaussian.CumulativeNormalMarsaglia.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gaussian.Erf.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gaussian.ErfInverse.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gaussian.Erfc.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gaussian.Gaussian.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.gaussian.StandardCumulativeNormal.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.CentralPath.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.HomogeneousPathFollowing.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.Hp.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.PrimalDualPathFollowing.class - [JAR]

com.numericalmethod.suanshu.analysis.uniroot

├─ com.numericalmethod.suanshu.analysis.uniroot.Brent.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.uniroot.Halley.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.uniroot.Newton.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.uniroot.NoRootFoundException.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.uniroot.Uniroot.class - [JAR]

com.numericalmethod.suanshu.datastructure

├─ com.numericalmethod.suanshu.datastructure.DimensionCheck.class - [JAR]

├─ com.numericalmethod.suanshu.datastructure.FlexibleTable.class - [JAR]

├─ com.numericalmethod.suanshu.datastructure.MathTable.class - [JAR]

├─ com.numericalmethod.suanshu.datastructure.Table.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite

├─ com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.CholeskyWang2006.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.GoldfeldQuandtTrotter.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.MatthewsDavies.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.PositiveDefiniteMatrixByPositiveDiagonal.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.PositiveSemiDefiniteMatrixNonNegativeDiagonal.class - [JAR]

com.numericalmethod.suanshu.mathstructure

├─ com.numericalmethod.suanshu.mathstructure.AbelianGroup.class - [JAR]

├─ com.numericalmethod.suanshu.mathstructure.BanachSpace.class - [JAR]

├─ com.numericalmethod.suanshu.mathstructure.Field.class - [JAR]

├─ com.numericalmethod.suanshu.mathstructure.HilbertSpace.class - [JAR]

├─ com.numericalmethod.suanshu.mathstructure.Monoid.class - [JAR]

├─ com.numericalmethod.suanshu.mathstructure.Ring.class - [JAR]

├─ com.numericalmethod.suanshu.mathstructure.VectorSpace.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAFitting.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAXModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.AutoCorrelation.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.AutoCovariance.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ConditionalSumOfSquares.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.LinearRepresentation.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.MAModel.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod

├─ com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.AbsoluteError.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.Courant.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.Fletcher.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.MultiplierPenalty.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.PenaltyFunction.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.PenaltyMethodMinimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.SumOfPenalties.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.ZERO.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.problem

├─ com.numericalmethod.suanshu.optimization.constrained.problem.ConstrainedOptimProblem.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.problem.ConstrainedOptimProblemImpl1.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.problem.NonNegativityConstraintOptimProblem.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.problem

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.problem.SOCPDualProblem.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.problem.SOCPGeneralProblem.class - [JAR]

com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles

├─ com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.Filter.class - [JAR]

├─ com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.MovingAverage.class - [JAR]

├─ com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.MovingAverageByExtension.class - [JAR]

com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Cloglog.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Identity.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Inverse.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.InverseSquared.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Log.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Logit.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Probit.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Sqrt.class - [JAR]

com.numericalmethod.suanshu.stats.test.distribution.kolmogorov

├─ com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov1Sample.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov2Samples.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.problem

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.problem.SDPDualProblem.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.problem.SDPPrimalProblem.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.matrixtype

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.GivensMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.HilbertMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.MatrixStorageImpl.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.PermutationMatrix.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussJordanElimination.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussianElimination.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussianElimination4SquareMatrix.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane

├─ com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.GomoryMixedCut.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.GomoryPureCut.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.SimplexCuttingPlane.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.IdentityPreconditioner.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.JacobiPreconditioner.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.PreconditionerFactory.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.SSORPreconditioner.class - [JAR]

com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection

├─ com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.ConjugateGradient.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.FletcherReeves.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.Powell.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.Zangwill.class - [JAR]

com.numericalmethod.suanshu.misc

├─ com.numericalmethod.suanshu.misc.R.class - [JAR]

├─ com.numericalmethod.suanshu.misc.Singleton.class - [JAR]

├─ com.numericalmethod.suanshu.misc.SuanShuUtils.class - [JAR]

com.numericalmethod.suanshu.stats.test.timeseries.portmanteau

├─ com.numericalmethod.suanshu.stats.test.timeseries.portmanteau.BoxPierce.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.timeseries.portmanteau.LjungBox.class - [JAR]

com.numericalmethod.suanshu.stats.hmm.mixture.distribution

├─ com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BetaDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BinomialDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.mixture.distribution.ExponentialDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.mixture.distribution.GammaDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.mixture.distribution.HMMDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.mixture.distribution.LogNormalDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.mixture.distribution.NormalDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.mixture.distribution.PoissonDistribution.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPBoundedMinimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexMinimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexSolution.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPUnboundedMinimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPUnboundedMinimizerScheme2.class - [JAR]

com.numericalmethod.suanshu.stats.test.mean

├─ com.numericalmethod.suanshu.stats.test.mean.OneWayANOVA.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.mean.T.class - [JAR]

com.numericalmethod.suanshu.number.complex

├─ com.numericalmethod.suanshu.number.complex.Complex.class - [JAR]

├─ com.numericalmethod.suanshu.number.complex.ElementaryFunction.class - [JAR]

com.numericalmethod.suanshu.analysis.function.polynomial.root

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.CubicRoot.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.LinearRoot.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRoot.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.QuadraticRoot.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRoot.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRootFerrari.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRootFormula.class - [JAR]

com.numericalmethod.suanshu.stats.random.univariate.poisson

├─ com.numericalmethod.suanshu.stats.random.univariate.poisson.Knuth1969.class - [JAR]

com.numericalmethod.suanshu.vector.doubles

├─ com.numericalmethod.suanshu.vector.doubles.ImmutableVector.class - [JAR]

├─ com.numericalmethod.suanshu.vector.doubles.IsVector.class - [JAR]

├─ com.numericalmethod.suanshu.vector.doubles.Vector.class - [JAR]

com.numericalmethod.suanshu

├─ com.numericalmethod.suanshu.Constant.class - [JAR]

├─ com.numericalmethod.suanshu.DeepCopyable.class - [JAR]

com.numericalmethod.suanshu.analysis.differentiation

├─ com.numericalmethod.suanshu.analysis.differentiation.Ridders.class - [JAR]

com.numericalmethod.suanshu.analysis.interpolation

├─ com.numericalmethod.suanshu.analysis.interpolation.DuplicatedAbscissae.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.interpolation.Interpolation.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.interpolation.LinearInterpolator.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.interpolation.NevilleTable.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.interpolation.OnlineInterpolator.class - [JAR]

com.numericalmethod.suanshu.stats.dlm.multivariate

├─ com.numericalmethod.suanshu.stats.dlm.multivariate.DLM.class - [JAR]

├─ com.numericalmethod.suanshu.stats.dlm.multivariate.DLMSeries.class - [JAR]

├─ com.numericalmethod.suanshu.stats.dlm.multivariate.DLMSim.class - [JAR]

├─ com.numericalmethod.suanshu.stats.dlm.multivariate.LinearKalmanFilter.class - [JAR]

├─ com.numericalmethod.suanshu.stats.dlm.multivariate.ObservationEquation.class - [JAR]

├─ com.numericalmethod.suanshu.stats.dlm.multivariate.StateEquation.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.constraint.general

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralEqualityConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralGreaterThanConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralLessThanConstraints.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.DiagonalData.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.DiagonalDataMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.DiagonalMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.TridiagonalMatrix.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.constraint.linear

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.linear.BoxConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearEqualityConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearGreaterThanConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearLessThanConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LowerBoundConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.linear.NonNegativityConstraints.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.constraint.linear.UpperBoundConstraints.class - [JAR]

com.numericalmethod.suanshu.analysis.function.rn2r1

├─ com.numericalmethod.suanshu.analysis.function.rn2r1.BivariateRealFunction.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.rn2r1.Projection.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.rn2r1.QuadraticFunction.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarSubFunction.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce

├─ com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce.BruteForceIPMinimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce.BruteForceIPProblem.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.univariate.realtime

├─ com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.OneDimensionTimeSeries.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.Realization.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.SimpleTimeSeries.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.TimeSeries.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.factorization.eigen

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.CharacteristicPolynomial.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Eigen.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.EigenDecomposition.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.EigenProperty.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.InverseIteration.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Spectrum.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.DiscretizedSDE.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Euler.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Ft.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.FtAdaptedFunction.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.FtWt.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.GeometricBrownian.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Milstein.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.SDE.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.XtAdaptedFunction.class - [JAR]

com.numericalmethod.suanshu.analysis.integration.univariate.riemann

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.ChangeOfVariable.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Integrator.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.IterativeIntegrator.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Midpoint.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.NewtonCotes.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Riemann.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Romberg.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Simpson.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Trapezoidal.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.QPException.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.QPInfeasible.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.QPSimpleSolver.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.QPSolution.class - [JAR]

com.numericalmethod.suanshu.stats.random.univariate.uniform.linear

├─ com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.CompositeLinearCongruentialGenerator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.LEcuyer.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.Lehmer.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.LinearCongruentialGenerator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.MRG.class - [JAR]

com.numericalmethod.suanshu.analysis.function.polynomial

├─ com.numericalmethod.suanshu.analysis.function.polynomial.CauchyPolynomial.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.HornerScheme.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.Polynomial.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.QuadraticMonomial.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.QuadraticSyntheticDivision.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.polynomial.ScaledPolynomial.class - [JAR]

com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.ConstrainedCellFactory.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.linear.univariate

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.AutoCorrelationFunction.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.AutoCovarianceFunction.class - [JAR]

com.numericalmethod.suanshu.vector.doubles.operation

├─ com.numericalmethod.suanshu.vector.doubles.operation.Projection.class - [JAR]

├─ com.numericalmethod.suanshu.vector.doubles.operation.VectorSpace.class - [JAR]

com.numericalmethod.suanshu.vector.doubles.dense.operation

├─ com.numericalmethod.suanshu.vector.doubles.dense.operation.Basis.class - [JAR]

├─ com.numericalmethod.suanshu.vector.doubles.dense.operation.CreateVector.class - [JAR]

com.numericalmethod.suanshu.stats.regression.linear.ols

├─ com.numericalmethod.suanshu.stats.regression.linear.ols.Beta.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.ols.Diagnostics.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.ols.InformationCriteria.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.ols.OLSRegression.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.ols.Residuals.class - [JAR]

com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local.GlobalSearchByLocalMinimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local.LocalSearchCellFactory.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.problem

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.problem.QPProblem.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.problem.QPProblemOnlyEqualityConstraints.class - [JAR]

com.numericalmethod.suanshu.stats.hmm.rabiner

├─ com.numericalmethod.suanshu.stats.hmm.rabiner.HiddenMarkovModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.rabiner.HmmForwardBackward.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.rabiner.HmmGamma.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.rabiner.HmmTrainByEM.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.rabiner.HmmXi.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.factorization.svd

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.svd.GloubKahanSVD.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.svd.GloubKahanSVDStep.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVD.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVDDecomposition.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.multivariate

├─ com.numericalmethod.suanshu.stats.timeseries.multivariate.GenericTimeTimeSeries.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.multivariate.MultiVariateTimeSeries.class - [JAR]

com.numericalmethod.suanshu.stats.random.multivariate

├─ com.numericalmethod.suanshu.stats.random.multivariate.IID.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.multivariate.MultinomialRvg.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.multivariate.NormalRvg.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.multivariate.RandomVectorGenerator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.multivariate.UniformDistributionOverBox.class - [JAR]

com.numericalmethod.suanshu.analysis.function.rn2r1.univariate

├─ com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.ContinuedFraction.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.StepFunction.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.UnivariateRealFunction.class - [JAR]

com.numericalmethod.suanshu.optimization.geneticalgorithm

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.Chromosome.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.geneticalgorithm.GeneticAlgorithm.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.integer

├─ com.numericalmethod.suanshu.optimization.constrained.integer.IPMinimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.integer.IPProblem.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.integer.IPProblemImpl1.class - [JAR]

com.numericalmethod.suanshu.stats.dlm.univariate

├─ com.numericalmethod.suanshu.stats.dlm.univariate.DLM.class - [JAR]

├─ com.numericalmethod.suanshu.stats.dlm.univariate.DLMSeries.class - [JAR]

├─ com.numericalmethod.suanshu.stats.dlm.univariate.DLMSim.class - [JAR]

├─ com.numericalmethod.suanshu.stats.dlm.univariate.LinearKalmanFilter.class - [JAR]

├─ com.numericalmethod.suanshu.stats.dlm.univariate.ObservationEquation.class - [JAR]

├─ com.numericalmethod.suanshu.stats.dlm.univariate.StateEquation.class - [JAR]

com.numericalmethod.suanshu.stats.hmm.mixture

├─ com.numericalmethod.suanshu.stats.hmm.mixture.HiddenMarkovModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.mixture.HmmBaumWelch.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.mixture.HmmForwardBackward.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.mixture.HmmViterbi.class - [JAR]

com.numericalmethod.suanshu.algorithm.bb

├─ com.numericalmethod.suanshu.algorithm.bb.ActiveList.class - [JAR]

├─ com.numericalmethod.suanshu.algorithm.bb.BBNode.class - [JAR]

├─ com.numericalmethod.suanshu.algorithm.bb.BranchAndBound.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCH.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCHModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCHSim.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.multivariate

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.MultiVariateRealization.class - [JAR]

com.numericalmethod.suanshu.stats.test

├─ com.numericalmethod.suanshu.stats.test.HypothesisTest.class - [JAR]

com.numericalmethod.suanshu.time

├─ com.numericalmethod.suanshu.time.JodaTimeUtils.class - [JAR]

├─ com.numericalmethod.suanshu.time.TimeInterval.class - [JAR]

├─ com.numericalmethod.suanshu.time.TimeIntervals.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.operation

├─ com.numericalmethod.suanshu.matrix.doubles.operation.CongruentMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.CreateMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.ElementaryOperation.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.FastKroneckerProduct.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.Householder.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.InnerProduct.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.Inverse.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.KroneckerProduct.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.MAT.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.MatrixMeasure.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.MatrixUtils.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.Pow.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.PseudoInverse.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.SVEC.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.SimilarMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.SubMatrixRef.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.operation.SymmetricKronecker.class - [JAR]

com.numericalmethod.suanshu.stats.pca

├─ com.numericalmethod.suanshu.stats.pca.PCA.class - [JAR]

├─ com.numericalmethod.suanshu.stats.pca.PCAImpl.class - [JAR]

├─ com.numericalmethod.suanshu.stats.pca.PCAbyEigen.class - [JAR]

├─ com.numericalmethod.suanshu.stats.pca.PCAbySVD.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Construction.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Euler.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Expectation.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Milstein.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.RandomWalk.class - [JAR]

com.numericalmethod.suanshu.analysis.function.rn2rm

├─ com.numericalmethod.suanshu.analysis.function.rn2rm.RealVectorFunction.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.rn2rm.RealVectorSubFunction.class - [JAR]

com.numericalmethod.suanshu.stats.test.distribution.normality

├─ com.numericalmethod.suanshu.stats.test.distribution.normality.DAgostino.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.normality.JarqueBera.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.normality.JarqueBeraDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.normality.Lilliefors.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilk.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.integer.linear.bb

├─ com.numericalmethod.suanshu.optimization.constrained.integer.linear.bb.ILPBranchAndBound.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.integer.linear.bb.ILPNode.class - [JAR]

com.numericalmethod.suanshu.stats.hmm

├─ com.numericalmethod.suanshu.stats.hmm.HiddenMarkovModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.hmm.HmmInnovation.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.DiscretizedSDE.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.Euler.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.Ft.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.FtAdaptedRealFunction.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.FtAdaptedVectorFunction.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.FtWt.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.SDE.class - [JAR]

com.numericalmethod.suanshu.stats.regression.linear.glm.distribution

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Binomial.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.ExponentialDistribution.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Family.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Gamma.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Gaussian.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.InverseGaussian.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Poisson.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.timepoints

├─ com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.EvenlySpacedGrid.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.TimeGrid.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.UnitGrid.class - [JAR]

com.numericalmethod.suanshu.algorithm.iterative

├─ com.numericalmethod.suanshu.algorithm.iterative.IterativeMethod.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess

├─ com.numericalmethod.suanshu.stats.stochasticprocess.RandomProcess.class - [JAR]

com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent

├─ com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.FirstOrder.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.GaussNewton.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.NewtonRaphson.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.SteepestDescent.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.FerrisMangasarianWrightPhase1.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.FerrisMangasarianWrightScheme2.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.JordanExchange.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.SimplexTable.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPDimensionNotMatched.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPEmptyCostVector.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPException.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPInfeasible.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPNoConstraint.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPRuntimeException.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPUnbounded.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseData.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.linearsystem

├─ com.numericalmethod.suanshu.matrix.doubles.linearsystem.BackwardSubstitution.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.linearsystem.ForwardSubstitution.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.linearsystem.Kernel.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.linearsystem.LSProblem.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.linearsystem.LUSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.linearsystem.LinearSystemSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolver.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolverByQR.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolverBySVD.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset

├─ com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPASVariation.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPASVariation1.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPActiveSetSolver.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPActiveSetSolverForOnlyInequalityConstraint.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.activeset

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.activeset.QPPrimalActiveSetSolver.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.activeset.WorkingActiveSet.class - [JAR]

com.numericalmethod.suanshu.matrix.generic.matrixtype

├─ com.numericalmethod.suanshu.matrix.generic.matrixtype.ComplexMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.generic.matrixtype.GenericMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.generic.matrixtype.RealMatrix.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization.BiDiagonalization.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization.TriDiagonalization.class - [JAR]

com.numericalmethod.suanshu.stats.test.rank

├─ com.numericalmethod.suanshu.stats.test.rank.KruskalWallis.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.rank.SiegelTukey.class - [JAR]

├─ com.numericalmethod.suanshu.stats.test.rank.VanDerWaerden.class - [JAR]

com.numericalmethod.suanshu.stats.regression.linear.logistic

├─ com.numericalmethod.suanshu.stats.regression.linear.logistic.Beta.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.logistic.LogLikelihood.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.logistic.Logistic.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.logistic.LogisticProblem.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.linear.logistic.Residuals.class - [JAR]

com.numericalmethod.suanshu.analysis.differentiation.multivariate

├─ com.numericalmethod.suanshu.analysis.differentiation.multivariate.BorderedHessian.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.multivariate.FiniteDifference.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.multivariate.Gradient.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.multivariate.GradientFunction.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.multivariate.Hessian.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.multivariate.HessianFunction.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.multivariate.Jacobian.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.differentiation.multivariate.JacobianFunction.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantDrift.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantSigma1.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantSigma2.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.Diffusion.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.Drift.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.Sigma.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ZeroDrift.class - [JAR]

com.numericalmethod.suanshu.stats.random.univariate.exp

├─ com.numericalmethod.suanshu.stats.random.univariate.exp.InverseTransformSamplingExpRng.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.exp.RandomExpGenerator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.random.univariate.exp.Ziggurat2000Exp.class - [JAR]

com.numericalmethod.suanshu.stats.sampling.resampling.bootstrap

├─ com.numericalmethod.suanshu.stats.sampling.resampling.bootstrap.BootstrapEstimator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.sampling.resampling.bootstrap.NonParametricBootstrap.class - [JAR]

com.numericalmethod.suanshu.optimization.unconstrained.quasinewton

├─ com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.BFGS.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.DFP.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.Huang.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.McCormick.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.Pearson.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.QuasiNewton.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.RankOne.class - [JAR]

com.numericalmethod.suanshu.stats.factoranalysis

├─ com.numericalmethod.suanshu.stats.factoranalysis.FAEstimator.class - [JAR]

├─ com.numericalmethod.suanshu.stats.factoranalysis.FactorAnalysis.class - [JAR]

├─ com.numericalmethod.suanshu.stats.factoranalysis.FactorAnalysisMLE.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem

├─ com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.ILPProblem.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.ILPProblemImpl1.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.PureILPProblem.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Bt.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Expectation.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.F_sum_BtDt.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.F_sum_tBtDt.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Filtration.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.FiltrationFunction.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.IntegralDB.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.IntegralDt.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Integrator.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained

├─ com.numericalmethod.suanshu.optimization.constrained.ConstrainedMinimizer.class - [JAR]

com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.NaiveRule.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SimplexPivoting.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SmallestSubscriptRule.class - [JAR]

com.numericalmethod.suanshu.number.doublearray

├─ com.numericalmethod.suanshu.number.doublearray.CompositeDoubleArrayOperation.class - [JAR]

├─ com.numericalmethod.suanshu.number.doublearray.DoubleArrayMath.class - [JAR]

├─ com.numericalmethod.suanshu.number.doublearray.DoubleArrayOperation.class - [JAR]

├─ com.numericalmethod.suanshu.number.doublearray.ParallelDoubleArrayOperation.class - [JAR]

├─ com.numericalmethod.suanshu.number.doublearray.SimpleDoubleArrayOperation.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.univariate.brownian

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.brownian.Brownian.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.univariate.brownian.RandomWalk.class - [JAR]

com.numericalmethod.suanshu.stats.descriptive

├─ com.numericalmethod.suanshu.stats.descriptive.CorrelationMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.Covariance.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.CovarianceMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.Statistic.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.StatisticFactory.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.SynchronizedStatistic.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.LowerTriangularMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.SymmetricMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.TriangularData.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix.class - [JAR]

com.numericalmethod.suanshu.number.big

├─ com.numericalmethod.suanshu.number.big.BigDecimalUtils.class - [JAR]

├─ com.numericalmethod.suanshu.number.big.BigIntegerUtils.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.FrancisQRStep.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.Hessenberg.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.HessenbergDecomposition.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.QRAlgorithm.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.ConvergenceFailure.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.ARMAModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.ARMAXModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.ARModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.AutoCorrelation.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.AutoCovariance.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.InnovationAlgorithm.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.Invertibility.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.LinearRepresentation.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.MAModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARFitting.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARXModel.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECM.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECMLongrun.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECMTransitory.class - [JAR]

com.numericalmethod.suanshu.stats.regression.panel

├─ com.numericalmethod.suanshu.stats.regression.panel.OLSPanelRegression.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.panel.PanelRegression.class - [JAR]

├─ com.numericalmethod.suanshu.stats.regression.panel.PanelRegressionResult.class - [JAR]

com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.Construction.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.Euler.class - [JAR]

├─ com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.RandomWalk.class - [JAR]

com.numericalmethod.suanshu.optimization.minmax

├─ com.numericalmethod.suanshu.optimization.minmax.LeastPth.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.minmax.MinMaxMinimizer.class - [JAR]

├─ com.numericalmethod.suanshu.optimization.minmax.MinMaxProblem.class - [JAR]

com.numericalmethod.suanshu.stats.descriptive.rank

├─ com.numericalmethod.suanshu.stats.descriptive.rank.Max.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.rank.Min.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.rank.Quantile.class - [JAR]

├─ com.numericalmethod.suanshu.stats.descriptive.rank.Rank.class - [JAR]

com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.CSRSparseMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.Coordinates.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.DOKSparseMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.LILSparseMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseEntry.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrixUtils.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure.class - [JAR]

├─ com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseVector.class - [JAR]

com.numericalmethod.suanshu.analysis.function.special.beta

├─ com.numericalmethod.suanshu.analysis.function.special.beta.Beta.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.beta.BetaRegularized.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.beta.BetaRegularizedInverse.class - [JAR]

├─ com.numericalmethod.suanshu.analysis.function.special.beta.LogBeta.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.univariate

├─ com.numericalmethod.suanshu.stats.timeseries.univariate.DateTimeTimeSeries.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.univariate.GenericTimeTimeSeries.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.univariate.TimeSeries.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.univariate.UnivariateTimeSeriesUtils.class - [JAR]

com.numericalmethod.suanshu.stats.timeseries.linear.multivariate

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.AutoCorrelationFunction.class - [JAR]

├─ com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.AutoCovarianceFunction.class - [JAR]

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