Hierarchy For All Packages

Package Hierarchies:

com.numericalmethod.suanshu, com.numericalmethod.suanshu.algorithm, com.numericalmethod.suanshu.analysis.differentiation, com.numericalmethod.suanshu.analysis.differentiation.multivariate, com.numericalmethod.suanshu.analysis.differentiation.univariate, com.numericalmethod.suanshu.analysis.function, com.numericalmethod.suanshu.analysis.function.matrix, com.numericalmethod.suanshu.analysis.function.polynomial, com.numericalmethod.suanshu.analysis.function.polynomial.root, com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub, com.numericalmethod.suanshu.analysis.function.rn2r1, com.numericalmethod.suanshu.analysis.function.rn2rm, com.numericalmethod.suanshu.analysis.function.special, com.numericalmethod.suanshu.analysis.integration.univariate, com.numericalmethod.suanshu.analysis.integration.univariate.riemann, com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution, com.numericalmethod.suanshu.analysis.interpolation, com.numericalmethod.suanshu.analysis.sequence, com.numericalmethod.suanshu.analysis.uniroot, com.numericalmethod.suanshu.datastructure, com.numericalmethod.suanshu.datastructure.list, com.numericalmethod.suanshu.interval, com.numericalmethod.suanshu.license, com.numericalmethod.suanshu.mathstructure, com.numericalmethod.suanshu.matrix, com.numericalmethod.suanshu.matrix.doubles, com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization, com.numericalmethod.suanshu.matrix.doubles.factorization.eigen, com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination, com.numericalmethod.suanshu.matrix.doubles.factorization.qr, com.numericalmethod.suanshu.matrix.doubles.factorization.svd, com.numericalmethod.suanshu.matrix.doubles.factorization.triangle, com.numericalmethod.suanshu.matrix.doubles.linearsystem, com.numericalmethod.suanshu.matrix.doubles.matrixtype, com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense, com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal, com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle, com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary, com.numericalmethod.suanshu.matrix.doubles.operation, com.numericalmethod.suanshu.matrix.generic, com.numericalmethod.suanshu.matrix.generic.matrixtype, com.numericalmethod.suanshu.misc, com.numericalmethod.suanshu.number, com.numericalmethod.suanshu.number.big, com.numericalmethod.suanshu.number.complex, com.numericalmethod.suanshu.optimization, com.numericalmethod.suanshu.optimization.constrained.general, com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod, com.numericalmethod.suanshu.optimization.constrained.integer, com.numericalmethod.suanshu.optimization.constrained.linearprogramming, com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem, com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex, com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.pivoting, com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.standard, com.numericalmethod.suanshu.optimization.minmax, com.numericalmethod.suanshu.optimization.unconstrained, com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection, com.numericalmethod.suanshu.optimization.unconstrained.hessian, com.numericalmethod.suanshu.optimization.unconstrained.linesearch, com.numericalmethod.suanshu.optimization.unconstrained.quasinewton, com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent, com.numericalmethod.suanshu.optimization.univariate, com.numericalmethod.suanshu.parallel, com.numericalmethod.suanshu.signalprocessing, com.numericalmethod.suanshu.signalprocessing.filter, com.numericalmethod.suanshu.stats.cointegration, com.numericalmethod.suanshu.stats.descriptive, com.numericalmethod.suanshu.stats.descriptive.moment, com.numericalmethod.suanshu.stats.descriptive.rank, com.numericalmethod.suanshu.stats.distribution, com.numericalmethod.suanshu.stats.distribution.univariate, com.numericalmethod.suanshu.stats.dlm, com.numericalmethod.suanshu.stats.hmm, com.numericalmethod.suanshu.stats.random, com.numericalmethod.suanshu.stats.random.distribution, com.numericalmethod.suanshu.stats.random.multivariate, com.numericalmethod.suanshu.stats.random.pseudorandom, com.numericalmethod.suanshu.stats.random.pseudorandom.linear, com.numericalmethod.suanshu.stats.regression.linear, com.numericalmethod.suanshu.stats.regression.linear.glm, com.numericalmethod.suanshu.stats.regression.linear.glm.distribution, com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link, com.numericalmethod.suanshu.stats.regression.linear.glm.quasi, com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family, com.numericalmethod.suanshu.stats.regression.linear.logistic, com.numericalmethod.suanshu.stats.regression.linear.modelselection, com.numericalmethod.suanshu.stats.regression.linear.ols, com.numericalmethod.suanshu.stats.sampling.discrete, com.numericalmethod.suanshu.stats.stochasticprocess, com.numericalmethod.suanshu.stats.stochasticprocess.multivariate, com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.brownian, com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde, com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde, com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients, com.numericalmethod.suanshu.stats.stochasticprocess.timepoints, com.numericalmethod.suanshu.stats.stochasticprocess.univariate, com.numericalmethod.suanshu.stats.stochasticprocess.univariate.brownian, com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration, com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde, com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde, com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.coefficients, com.numericalmethod.suanshu.stats.test, com.numericalmethod.suanshu.stats.test.distribution, com.numericalmethod.suanshu.stats.test.distribution.kolmogorov, com.numericalmethod.suanshu.stats.test.distribution.normality, com.numericalmethod.suanshu.stats.test.distribution.pearson, com.numericalmethod.suanshu.stats.test.mean, com.numericalmethod.suanshu.stats.test.rank, com.numericalmethod.suanshu.stats.test.rank.wilcoxon, com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity, com.numericalmethod.suanshu.stats.test.timeseries.adf, com.numericalmethod.suanshu.stats.test.timeseries.portmanteau, com.numericalmethod.suanshu.stats.test.variance, com.numericalmethod.suanshu.stats.timeseries, com.numericalmethod.suanshu.stats.timeseries.linear.multivariate, com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess, com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima, com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma, com.numericalmethod.suanshu.stats.timeseries.linear.univariate, com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample, com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess, com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima, com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma, com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch, com.numericalmethod.suanshu.stats.timeseries.multivariate, com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime, com.numericalmethod.suanshu.stats.timeseries.univariate, com.numericalmethod.suanshu.stats.timeseries.univariate.realtime, com.numericalmethod.suanshu.time, com.numericalmethod.suanshu.vector.doubles, com.numericalmethod.suanshu.vector.doubles.dense, com.numericalmethod.suanshu.vector.doubles.dense.operation

Class Hierarchy

• java.lang.Object
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.AbsoluteTolerance (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.Tolerance)
  • java.util.AbstractCollection<E> (implements java.util.Collection<E>)
    • java.util.AbstractList<E> (implements java.util.List<E>)
      • java.util.ArrayList<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
        • com.numericalmethod.suanshu.datastructure.list.MatrixList (implements com.numericalmethod.suanshu.DeepCopyable)
        • com.numericalmethod.suanshu.datastructure.list.NumberList
        • com.numericalmethod.suanshu.datastructure.list.VectorList (implements com.numericalmethod.suanshu.DeepCopyable)
  • com.numericalmethod.suanshu.matrix.doubles.AreMatrices
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.ArimaxModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.ArimaModel
      • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.ArmaModel
        • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.ArModel
        • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.MaModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.ArmaxModel
      • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VarxModel
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.ArimaxModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.ArimaModel
      • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.ArmaModel
        • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.ArModel
        • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.MaModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.ArmaxModel
  • com.numericalmethod.suanshu.stats.test.distribution.pearson.AS159
  • com.numericalmethod.suanshu.stats.test.distribution.pearson.AS159.RandomMatrix
  • com.numericalmethod.suanshu.stats.regression.linear.modelselection.Backward
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.BackwardSubstitution
  • com.numericalmethod.suanshu.stats.regression.linear.Beta
    • com.numericalmethod.suanshu.stats.regression.linear.glm.Beta
      • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.Beta
    • com.numericalmethod.suanshu.stats.regression.linear.ols.Beta
      • com.numericalmethod.suanshu.stats.regression.linear.logistic.Beta
  • com.numericalmethod.suanshu.stats.distribution.univariate.BetaDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientStabilizedSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization.Bidiagonalization
  • com.numericalmethod.suanshu.number.big.BigDecimalUtils
  • com.numericalmethod.suanshu.number.big.BigIntegerUtils
  • com.numericalmethod.suanshu.analysis.function.rn2r1.BivariateRealFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.AutoCorrelationFunction
      • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.AutoCorrelation
      • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.AutoCorrelation
      • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.PartialAutoCorrelation
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.AutoCovarianceFunction
      • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.AutoCovariance
      • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.AutoCovariance
    • com.numericalmethod.suanshu.analysis.function.special.Beta
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.DBeta
    • com.numericalmethod.suanshu.analysis.function.special.GammaLowerIncomplete
    • com.numericalmethod.suanshu.analysis.function.special.GammaRegularizedP
    • com.numericalmethod.suanshu.analysis.function.special.GammaRegularizedPInverse
    • com.numericalmethod.suanshu.analysis.function.special.GammaRegularizedQ
    • com.numericalmethod.suanshu.analysis.function.special.GammaUpperIncomplete
    • com.numericalmethod.suanshu.analysis.function.special.LogBeta
  • com.numericalmethod.suanshu.optimization.univariate.BracketSearch
    • com.numericalmethod.suanshu.optimization.univariate.Brent
    • com.numericalmethod.suanshu.optimization.univariate.Fibonacci
    • com.numericalmethod.suanshu.optimization.univariate.Golden
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.brownian.Brownian (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.DiscretizedSDE)
    • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.brownian.RandomWalk (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.Construction)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.brownian.Brownian (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.DiscretizedSDE)
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.brownian.RandomWalk (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Construction)
  • com.numericalmethod.suanshu.optimization.constrained.integer.BruteForce (implements com.numericalmethod.suanshu.optimization.constrained.integer.IntegerConstrainedMinimizer)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.ChangeOfVariable (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Integrator)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.CharacteristicPolynomial
  • com.numericalmethod.suanshu.stats.distribution.univariate.ChiSquareDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.Cholesky
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Cloglog (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.cointegration.CointegrationMle
  • com.numericalmethod.suanshu.algorithm.Combination<T> (implements java.lang.Iterable<T>)
  • com.numericalmethod.suanshu.stats.random.pseudorandom.linear.CombinedLinearCongruentialGenerator (implements com.numericalmethod.suanshu.stats.random.pseudorandom.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.time.ComparableDateTime (implements java.lang.Comparable<T>)
  • com.numericalmethod.suanshu.matrix.generic.matrixtype.ComplexMatrix (implements com.numericalmethod.suanshu.matrix.generic.Matrix<T,F>)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.CompositeDoubleArrayOperation (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.DoubleArrayOperation)
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.ConditionalSumOfSquares (implements com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.ArmaFitting)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalErrorSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalResidualSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSquaredSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.Constant
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantDrift (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.Drift)
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantSigma1 (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.Diffusion)
  • com.numericalmethod.suanshu.optimization.constrained.general.Constraints
    • com.numericalmethod.suanshu.optimization.constrained.general.EqualityConstraints
    • com.numericalmethod.suanshu.optimization.constrained.general.InequalityConstraints
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.Coordinates
  • com.numericalmethod.suanshu.number.Counter
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.CountMonitor (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterationMonitor)
  • com.numericalmethod.suanshu.stats.descriptive.Covariance (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.matrix.doubles.operation.CreateMatrix
  • com.numericalmethod.suanshu.vector.doubles.dense.operation.CreateVector
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.CsrSparseMatrix
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.Cubic (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.Solver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseData (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.MatrixData)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseMatrixUtils
  • com.numericalmethod.suanshu.vector.doubles.dense.DenseVector
    • com.numericalmethod.suanshu.vector.doubles.dense.operation.Basis
  • com.numericalmethod.suanshu.stats.regression.linear.ols.Diagnostics
  • com.numericalmethod.suanshu.matrix.DimensionCheck
  • com.numericalmethod.suanshu.stats.sampling.discrete.DiscreteSampling<X>
  • com.numericalmethod.suanshu.stats.dlm.Dlm
  • com.numericalmethod.suanshu.stats.dlm.DlmSim
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.DokSparseMatrix
  • com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.Doolittle (implements com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LUDecomposition)
  • com.numericalmethod.suanshu.number.DoubleUtils
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Eigen (implements com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.EigenDecomposition)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Eigen.Property
  • com.numericalmethod.suanshu.number.complex.ElementaryFunction
  • com.numericalmethod.suanshu.matrix.doubles.operation.ElementaryOperation
  • com.numericalmethod.suanshu.stats.distribution.univariate.EmpiricalDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.AdfAsymptoticDistribution
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.AdfAsymptoticDistribution1
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.AdfDistribution
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.AdfFiniteSampleDistribution
    • com.numericalmethod.suanshu.stats.test.distribution.pearson.FisherExactDistribution
    • com.numericalmethod.suanshu.stats.test.distribution.normality.JarqueBeraDistribution
    • com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.Euler (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.DiscretizedSDE)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Euler (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.DiscretizedSDE)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.EulerMaclaurin (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.IterativeIntegrator)
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Midpoint
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Trapezoidal
  • com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.EvenlySpacedGrid (implements com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.TimeGrid)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Expectation
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Expectation
  • com.numericalmethod.suanshu.stats.distribution.univariate.ExponentialDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Family (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.ExponentialDistribution)
    • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Binomial
      • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Binomial (implements com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiFamily)
    • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Gamma
      • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Gamma (implements com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiFamily)
    • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Gaussian
      • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Gaussian (implements com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiFamily)
    • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.InverseGaussian
      • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.InverseGaussian (implements com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiFamily)
    • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Poisson
      • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Poisson (implements com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiFamily)
  • com.numericalmethod.suanshu.stats.distribution.univariate.FDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.analysis.sequence.Fibonacci (implements com.numericalmethod.suanshu.analysis.sequence.Sequence)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Filtration
  • com.numericalmethod.suanshu.analysis.differentiation.multivariate.FiniteDifference (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
  • com.numericalmethod.suanshu.optimization.unconstrained.linesearch.Fletcher
  • com.numericalmethod.suanshu.stats.regression.linear.modelselection.Forward
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.ForwardSubstitution
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.Ft (implements com.numericalmethod.suanshu.DeepCopyable)
    • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.FtWt
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Ft (implements com.numericalmethod.suanshu.DeepCopyable)
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.FtWt
  • com.numericalmethod.suanshu.analysis.function.FunctionOps
  • com.numericalmethod.suanshu.stats.distribution.univariate.GammaDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.Garch
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GarchModel
  • com.numericalmethod.suanshu.stats.random.distribution.Gaussian (implements com.numericalmethod.suanshu.stats.random.RandomNumberGenerator)
    • com.numericalmethod.suanshu.stats.random.distribution.StandardGaussian
  • com.numericalmethod.suanshu.stats.random.multivariate.Gaussian (implements com.numericalmethod.suanshu.stats.random.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussianElimination
  • com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussianElimination4SquareMatrix (implements com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LUDecomposition)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussJordanElimination
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.GaussSeidelSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedConjugateResidualSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.GeneralizedLinearModel
  • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.GeneralizedLinearModelQuasiFamily
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedMinimalResidualSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.matrix.generic.matrixtype.GenericMatrix<F> (implements com.numericalmethod.suanshu.matrix.generic.Matrix<T,F>)
  • com.numericalmethod.suanshu.stats.timeseries.multivariate.GenericTimeTimeSeries<T> (implements com.numericalmethod.suanshu.stats.timeseries.multivariate.MultiVariateTimeSeries<T>)
  • com.numericalmethod.suanshu.stats.timeseries.univariate.GenericTimeTimeSeries<T> (implements com.numericalmethod.suanshu.stats.timeseries.univariate.TimeSeries<T>)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.svd.GloubKahanSVD (implements com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVDDecomposition)
  • com.numericalmethod.suanshu.analysis.differentiation.multivariate.GradientFunction (implements com.numericalmethod.suanshu.analysis.function.rn2rm.RealVectorFunction)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.qr.GramSchmidt (implements com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QRDecomposition)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Hessenberg
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Hessenberg.DefaultDeflationCriterion (implements com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Hessenberg.DeflationCriterion)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Hessenberg.Deflation
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.HessenbergDecomposition
  • com.numericalmethod.suanshu.analysis.differentiation.multivariate.HessianFunction (implements com.numericalmethod.suanshu.analysis.function.matrix.RntoMatrix)
  • com.numericalmethod.suanshu.stats.hmm.HiddenMarkovModel
  • com.numericalmethod.suanshu.stats.hmm.HmmSim
  • com.numericalmethod.suanshu.stats.hmm.HmmTrainByEM
  • com.numericalmethod.suanshu.analysis.function.polynomial.HornerScheme
  • com.numericalmethod.suanshu.matrix.doubles.operation.Householder
  • com.numericalmethod.suanshu.matrix.doubles.operation.Householder.Context
  • com.numericalmethod.suanshu.matrix.doubles.factorization.qr.HouseholderReflection (implements com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QRDecomposition)
  • com.numericalmethod.suanshu.stats.test.HypothesisTest
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.AugmentedDickeyFuller
    • com.numericalmethod.suanshu.stats.test.variance.Bartlett
    • com.numericalmethod.suanshu.stats.test.timeseries.portmanteau.BoxPierce
      • com.numericalmethod.suanshu.stats.test.timeseries.portmanteau.LjungBox
    • com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.BreuschPagan
    • com.numericalmethod.suanshu.stats.test.variance.BrownForsythe
    • com.numericalmethod.suanshu.stats.test.distribution.pearson.ChiSquare4Independence
    • com.numericalmethod.suanshu.stats.test.distribution.normality.DAgostino
    • com.numericalmethod.suanshu.stats.test.variance.F
    • com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.Glejser
    • com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.HarveyGodfrey
    • com.numericalmethod.suanshu.stats.test.distribution.normality.JarqueBera
    • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov
      • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov1Sample
      • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov2Samples
    • com.numericalmethod.suanshu.stats.test.rank.KruskalWallis
    • com.numericalmethod.suanshu.stats.test.variance.Levene
    • com.numericalmethod.suanshu.stats.test.distribution.normality.Lilliefors
    • com.numericalmethod.suanshu.stats.test.mean.OneWayANOVA
    • com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilk
    • com.numericalmethod.suanshu.stats.test.rank.SiegelTukey
    • com.numericalmethod.suanshu.stats.test.mean.T
    • com.numericalmethod.suanshu.stats.test.rank.VanDerWaerden
    • com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.White
    • com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSum
    • com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRank
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Identity (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.IdentityPreconditioner (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner)
  • com.numericalmethod.suanshu.stats.random.multivariate.IID (implements com.numericalmethod.suanshu.stats.random.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.matrix.doubles.operation.ImmutableKroneckerProduct (implements com.numericalmethod.suanshu.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.matrix.doubles.ImmutableMatrix (implements com.numericalmethod.suanshu.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.vector.doubles.ImmutableVector (implements com.numericalmethod.suanshu.vector.doubles.Vector)
  • com.numericalmethod.suanshu.stats.regression.linear.ols.InformationCriteria
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.InnovationAlgorithm
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.InnovationAlgorithmImpl
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.InnovationAlgorithm
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.InnovationAlgorithm
  • com.numericalmethod.suanshu.signalprocessing.Innovations
  • com.numericalmethod.suanshu.optimization.constrained.integer.IntegerConstrainedProblem.IntegralConstraint
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Integrator
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.IntegralDB
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.IntegralDt
  • com.numericalmethod.suanshu.interval.Interval<T>
    • com.numericalmethod.suanshu.time.TimeInterval
  • com.numericalmethod.suanshu.interval.Intervals<T>
    • com.numericalmethod.suanshu.time.TimeIntervals
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Inverse (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.InverseSquared (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.random.distribution.InverseTransformSampling (implements com.numericalmethod.suanshu.stats.random.RandomNumberGenerator)
    • com.numericalmethod.suanshu.stats.random.distribution.Exponential
    • com.numericalmethod.suanshu.stats.random.distribution.Rayleigh
    • com.numericalmethod.suanshu.stats.random.distribution.Weibull
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.Invertibility
  • com.numericalmethod.suanshu.matrix.doubles.IsMatrix
  • com.numericalmethod.suanshu.vector.doubles.IsVector
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IteratesMonitor (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterationMonitor)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver.Problem
  • com.numericalmethod.suanshu.stats.regression.linear.glm.IWLS (implements com.numericalmethod.suanshu.stats.regression.linear.glm.Fitting)
  • com.numericalmethod.suanshu.analysis.differentiation.multivariate.JacobianFunction (implements com.numericalmethod.suanshu.analysis.function.matrix.RntoMatrix)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.JacobiPreconditioner (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.JacobiSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JenkinsTraubReal (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.Solver)
  • com.numericalmethod.suanshu.time.JodaTimeUtils
  • com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistributionSimulation
  • com.numericalmethod.suanshu.stats.cointegration.JohansenTest
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.Kernel
  • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.stats.descriptive.moment.Kurtosis (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LDL
  • com.numericalmethod.suanshu.optimization.minmax.LeastPth
  • com.numericalmethod.suanshu.analysis.integration.univariate.Lebesgue
  • com.numericalmethod.suanshu.stats.random.pseudorandom.linear.LEcuyer (implements com.numericalmethod.suanshu.stats.random.pseudorandom.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.stats.random.pseudorandom.linear.Lehmer (implements com.numericalmethod.suanshu.stats.random.pseudorandom.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.license.License
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.LilSparseMatrix
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.Linear (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.Solver)
  • com.numericalmethod.suanshu.stats.dlm.LinearKalmanFilter
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.LinearRepresentation
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.LinearRepresentation
  • com.numericalmethod.suanshu.stats.regression.linear.LmProblem
    • com.numericalmethod.suanshu.stats.regression.linear.glm.GlmProblem
      • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.QuasiGlmProblem
    • com.numericalmethod.suanshu.stats.regression.linear.logistic.LogisticProblem
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Log (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.regression.linear.logistic.Logistic
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Logit (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.standard.LpBoundedSolution (implements com.numericalmethod.suanshu.optimization.constrained.linearprogramming.LpSolution)
  • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.standard.LpUnboundedSolution (implements com.numericalmethod.suanshu.optimization.constrained.linearprogramming.LpSolution)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LU (implements com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LUDecomposition)
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.LU
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.MADecomposition
  • com.numericalmethod.suanshu.datastructure.MathTable
  • com.numericalmethod.suanshu.datastructure.MathTable.Row
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.MatrixMathImpl<T> (implements com.numericalmethod.suanshu.matrix.doubles.Matrix)
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.GivensMatrix
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.MatrixStorageImpl<T>
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseMatrix (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable)
        • com.numericalmethod.suanshu.stats.descriptive.CovarianceMatrix
        • com.numericalmethod.suanshu.optimization.unconstrained.hessian.GoldfeldQuandtTrotter
        • com.numericalmethod.suanshu.analysis.differentiation.multivariate.Gradient
        • com.numericalmethod.suanshu.matrix.doubles.operation.Inverse
        • com.numericalmethod.suanshu.analysis.differentiation.multivariate.Jacobian
        • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.JordanExchange
        • com.numericalmethod.suanshu.matrix.doubles.operation.KroneckerProduct
        • com.numericalmethod.suanshu.optimization.unconstrained.hessian.MatthewsDavies
        • com.numericalmethod.suanshu.matrix.doubles.operation.Pow
        • com.numericalmethod.suanshu.matrix.doubles.operation.PseudoInverse
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.DiagonalMatrix
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.SymmetricMatrix (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable)
        • com.numericalmethod.suanshu.analysis.differentiation.multivariate.BorderedHessian
        • com.numericalmethod.suanshu.analysis.differentiation.multivariate.Hessian
        • com.numericalmethod.suanshu.matrix.doubles.matrixtype.HilbertMatrix
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.TriangularMatrix<T>
        • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.LowerTriangularMatrix (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable)
        • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable)
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.TridiagonalMatrix
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.PermutationMatrix
  • com.numericalmethod.suanshu.matrix.doubles.operation.MatrixUtils
  • com.numericalmethod.suanshu.stats.descriptive.rank.Max (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.stats.descriptive.moment.Mean (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.matrix.doubles.operation.Measure
  • com.numericalmethod.suanshu.stats.random.pseudorandom.MersenneTwister (implements com.numericalmethod.suanshu.stats.random.RandomLongGenerator)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Milstein (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.DiscretizedSDE)
  • com.numericalmethod.suanshu.stats.descriptive.rank.Min (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.MinimalResidualSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.optimization.univariate.Minimizer (implements com.numericalmethod.suanshu.optimization.Minimizer)
  • com.numericalmethod.suanshu.optimization.minmax.MinMaxProblem
  • com.numericalmethod.suanshu.stats.descriptive.moment.Moments (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.signalprocessing.filter.MovingAverage (implements com.numericalmethod.suanshu.signalprocessing.filter.Filter)
  • com.numericalmethod.suanshu.signalprocessing.filter.MovingAverageByExtension (implements com.numericalmethod.suanshu.signalprocessing.filter.Filter)
  • com.numericalmethod.suanshu.stats.random.pseudorandom.linear.MRG (implements com.numericalmethod.suanshu.stats.random.pseudorandom.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.stats.random.multivariate.Multinomial (implements com.numericalmethod.suanshu.stats.random.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.parallel.Mutex
  • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.pivoting.NaiveRule (implements com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.pivoting.SimplexPivoting)
    • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.pivoting.SmallestSubscriptRule
  • com.numericalmethod.suanshu.optimization.unconstrained.NelderMead (implements com.numericalmethod.suanshu.optimization.unconstrained.UnconstrainedMinimizer)
  • com.numericalmethod.suanshu.stats.distribution.univariate.NormalDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.NullMonitor (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterationMonitor)
  • java.lang.Number (implements java.io.Serializable)
    • com.numericalmethod.suanshu.number.complex.Complex (implements com.numericalmethod.suanshu.mathstructure.Field<F>, com.numericalmethod.suanshu.number.NumberUtils.Comparable<T>)
    • com.numericalmethod.suanshu.number.Real (implements java.lang.Comparable<T>, com.numericalmethod.suanshu.mathstructure.Field<F>)
    • com.numericalmethod.suanshu.number.ScientificNotation
  • com.numericalmethod.suanshu.number.NumberUtils
  • com.numericalmethod.suanshu.stats.dlm.ObservationEquation
  • com.numericalmethod.suanshu.stats.regression.linear.ols.OlsRegression
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolver
  • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.OneDimensionTimeSeries<T> (implements com.numericalmethod.suanshu.stats.timeseries.univariate.TimeSeries<T>)
  • com.numericalmethod.suanshu.license.Package
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.ParallelDoubleArrayOperation (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.DoubleArrayOperation)
  • com.numericalmethod.suanshu.parallel.ParallelExecutor
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.PathByIdImpl
  • com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.PenaltyFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
    • com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.MultiplierPenalty
      • com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.AbsoluteError
      • com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.Courant
      • com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.Fletcher
    • com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.SumOfPenalties
    • com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.ZERO
  • com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.PenaltyMethod (implements com.numericalmethod.suanshu.optimization.constrained.general.ConstrainedMinimizer)
  • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.standard.Phase2ByFerrisMangasarianWright (implements com.numericalmethod.suanshu.optimization.constrained.linearprogramming.LpSolver)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.Polyroot (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.Solver)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Probit (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.analysis.function.rn2r1.Projection (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
  • com.numericalmethod.suanshu.vector.doubles.dense.operation.Projection
  • com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QR (implements com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QRDecomposition)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.QRAlgorithm
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.Quadratic (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.Solver)
  • com.numericalmethod.suanshu.analysis.function.polynomial.QuadraticSyntheticDivision
  • com.numericalmethod.suanshu.stats.descriptive.rank.Quantile (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.Quartic (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.Solver)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticByFerrari (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.Quartic.QuarticSolver)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticByFormula (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.Quartic.QuarticSolver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.QuasiMinimalResidualSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.misc.R
  • com.numericalmethod.suanshu.analysis.function.matrix.R1toMatrix (implements com.numericalmethod.suanshu.analysis.function.matrix.RntoMatrix)
    • com.numericalmethod.suanshu.analysis.function.matrix.R1toConstantMatrix
  • com.numericalmethod.suanshu.analysis.function.matrix.R2toMatrix (implements com.numericalmethod.suanshu.analysis.function.matrix.RntoMatrix)
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.AutoCorrelationFunction
      • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.AutoCorrelation
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.AutoCovarianceFunction
      • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.AutoCovariance
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.RandomWalk (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.Construction)
    • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.Euler
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.RandomWalk (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Construction)
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Euler
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Milstein
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.RandomWalk.MultiVariateRealization (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.MultiVariateRealization)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.RandomWalk.Realization (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.Realization)
  • com.numericalmethod.suanshu.stats.descriptive.rank.Rank
  • com.numericalmethod.suanshu.stats.distribution.univariate.RayleighDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.matrix.generic.matrixtype.RealMatrix (implements com.numericalmethod.suanshu.matrix.generic.Matrix<T,F>)
  • com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunctionFixedVariables (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
  • com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunctionFixedVariables.Value
  • com.numericalmethod.suanshu.parallel.Reference<T>
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.RelativeTolerance (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.Tolerance)
  • com.numericalmethod.suanshu.stats.regression.linear.Residuals
    • com.numericalmethod.suanshu.stats.regression.linear.glm.Residuals
      • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.Residuals
    • com.numericalmethod.suanshu.stats.regression.linear.logistic.Residuals
    • com.numericalmethod.suanshu.stats.regression.linear.ols.Residuals
  • com.numericalmethod.suanshu.analysis.differentiation.Ridders (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Riemann (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Integrator)
  • com.numericalmethod.suanshu.stats.random.RNG (implements com.numericalmethod.suanshu.stats.random.RandomLongGenerator)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Romberg (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Integrator)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.Roots
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.SDE
    • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.Bessel
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.SDE
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Bessel
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.GeometricBrownian
  • com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.Sigma (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.Diffusion)
    • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantSigma2
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.SimpleDoubleArrayOperation (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.DoubleArrayOperation)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.SimpleMatrixMathOperation (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation)
  • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.SimpleMultiVariateTimeSeries (implements com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateTimeSeries)
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.ArimaSim
  • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.SimpleTimeSeries (implements com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.TimeSeries)
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.AdditiveModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.ArimaSim
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GarchSim
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.MultiplicativeModel
  • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.pivoting.SimplexPivoting.Pivot
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Simpson (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.IterativeIntegrator)
  • com.numericalmethod.suanshu.stats.descriptive.moment.Skewness (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.Solver
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SorSweep
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseElement
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseVector (implements java.lang.Iterable<T>, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure, com.numericalmethod.suanshu.vector.doubles.Vector)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseVector.Entry
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseVector.Iterator (implements java.util.Iterator<E>)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Sqrt (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.SsorPreconditioner (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner)
  • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.StandardLpProblem1 (implements com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.LpProblem)
  • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.StandardLpProblem2 (implements com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.LpProblem)
  • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.standard.StandardSimplex (implements com.numericalmethod.suanshu.optimization.constrained.linearprogramming.LpSolver)
  • com.numericalmethod.suanshu.stats.dlm.StateEquation
  • com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.SteepestDescent (implements com.numericalmethod.suanshu.optimization.unconstrained.UnconstrainedMinimizer)
    • com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.ConjugateGradient
      • com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.FletcherReeves
    • com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.FirstOrder
    • com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.GaussNewton
    • com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.NewtonRaphson
    • com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.Powell
    • com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.QuasiNewton
      • com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.BFGS
      • com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.Huang
        • com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.DFP
        • com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.McCormick
        • com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.Pearson
        • com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.RankOne
    • com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.Zangwill
  • com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.SteepestDescent.LineSearch
    • com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.QuasiNewton.QuasiNewtonImpl
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.SteepestDescentSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.misc.SuanShuUtils
  • com.numericalmethod.suanshu.matrix.doubles.operation.SubMatrixRef (implements com.numericalmethod.suanshu.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.Substitution
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.DoubleExponential
      • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.DoubleExponential4HalfRealLine
      • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.DoubleExponential4RealLine
      • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.MixedRule
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.Exponential
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.InvertingVariable
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.NoChangeOfVariable
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.PowerLawSingularity
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.StandardInterval
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SuccessiveOverrelaxationSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.analysis.sequence.Summation
  • com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVD (implements com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVDDecomposition)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SymmetricSuccessiveOverrelaxationSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver)
  • com.numericalmethod.suanshu.stats.descriptive.SynchronizedStatistic (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.Tableau
  • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.Tableau.Label
  • com.numericalmethod.suanshu.stats.distribution.univariate.TDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Error
      • com.numericalmethod.suanshu.license.InvalidLicense
    • java.lang.Exception
      • com.numericalmethod.suanshu.mathstructure.Field.InverseNonExistent
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver.ConvergenceFailure
      • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.LpProblem.LpException
        • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.LpProblem.Infeasible
        • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.LpProblem.Unbounded
      • com.numericalmethod.suanshu.parallel.MultipleExecutionException
      • java.lang.RuntimeException
        • com.numericalmethod.suanshu.analysis.function.rn2r1.ContinuedFraction.MaxIterationsExceededException
        • com.numericalmethod.suanshu.analysis.function.Function.EvaluationException
        • com.numericalmethod.suanshu.vector.doubles.IsVector.SizeMismatch
        • com.numericalmethod.suanshu.vector.doubles.IsVector.VectorAccessException
        • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.LpProblem.LpRuntimeException
          • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.LpProblem.DimensionNotMatched
          • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.LpProblem.EmptyCostVector
          • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.LpProblem.NoConstraint
        • com.numericalmethod.suanshu.matrix.MatrixAccessException
        • com.numericalmethod.suanshu.matrix.MatrixMismatchException
        • com.numericalmethod.suanshu.matrix.MatrixSingularityException
        • com.numericalmethod.suanshu.analysis.interpolation.NevilleTable.DuplicatedAbscissae
        • com.numericalmethod.suanshu.matrix.doubles.linearsystem.Solver.NoSolution
        • com.numericalmethod.suanshu.analysis.function.polynomial.root.Solver.RootFindingException
      • com.numericalmethod.suanshu.analysis.uniroot.Uniroot.NoRootFoundException
  • com.numericalmethod.suanshu.stats.timeseries.TimeSeries.Entry<T,V> (implements java.util.Map.Entry<K,V>)
    • com.numericalmethod.suanshu.stats.timeseries.multivariate.MultiVariateTimeSeries.Entry<T>
      • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateRealization.Entry
      • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateTimeSeries.Entry
    • com.numericalmethod.suanshu.stats.timeseries.univariate.TimeSeries.Entry<T>
      • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.OneDimensionTimeSeries.Entry<T>
      • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.Realization.Entry
      • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.TimeSeries.Entry
  • com.numericalmethod.suanshu.stats.timeseries.TimeSeries.Iterator<E> (implements java.util.Iterator<E>)
    • com.numericalmethod.suanshu.stats.timeseries.multivariate.MultiVariateTimeSeries.Iterator<E>
      • com.numericalmethod.suanshu.stats.timeseries.multivariate.GenericTimeTimeSeries.Iterator
      • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateRealization.Iterator
        • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.MultiVariateRealization.Iterator
          • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.RandomWalk.Iterator
      • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateTimeSeries.Iterator
        • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.SimpleMultiVariateTimeSeries.Iterator
    • com.numericalmethod.suanshu.stats.timeseries.univariate.TimeSeries.Iterator<E>
      • com.numericalmethod.suanshu.stats.timeseries.univariate.GenericTimeTimeSeries.Iterator
      • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.OneDimensionTimeSeries.Iterator<T>
      • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.Realization.Iterator
        • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.Realization.Iterator
          • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.RandomWalk.Iterator
      • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.TimeSeries.Iterator
        • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.SimpleTimeSeries.Iterator
  • com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization.Tridiagonalization
  • com.numericalmethod.suanshu.optimization.unconstrained.UnconstrainedMaximizer
  • com.numericalmethod.suanshu.optimization.unconstrained.UnconstrainedProblem
    • com.numericalmethod.suanshu.optimization.constrained.general.ConstrainedProblem
      • com.numericalmethod.suanshu.optimization.constrained.integer.IntegerConstrainedProblem
  • com.numericalmethod.suanshu.stats.random.distribution.Uniform (implements com.numericalmethod.suanshu.stats.random.RandomLongGenerator)
  • com.numericalmethod.suanshu.analysis.uniroot.Uniroot
    • com.numericalmethod.suanshu.analysis.uniroot.Brent
    • com.numericalmethod.suanshu.analysis.uniroot.Halley
    • com.numericalmethod.suanshu.analysis.uniroot.Newton
  • com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.UnitGrid (implements com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.TimeGrid)
  • com.numericalmethod.suanshu.analysis.function.rn2r1.UnivariateRealFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
    • com.numericalmethod.suanshu.analysis.function.special.BetaRegularized
    • com.numericalmethod.suanshu.analysis.function.special.BetaRegularizedInverse
    • com.numericalmethod.suanshu.analysis.function.rn2r1.ContinuedFraction
    • com.numericalmethod.suanshu.analysis.function.special.CumulativeNormal
    • com.numericalmethod.suanshu.analysis.function.special.CumulativeNormalInverse
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.DBetaRegularized
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.DErf
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.Dfdx
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.DGamma
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.DGaussian
    • com.numericalmethod.suanshu.analysis.function.special.Digamma
    • com.numericalmethod.suanshu.analysis.function.special.Erf
    • com.numericalmethod.suanshu.analysis.function.special.Erfc
    • com.numericalmethod.suanshu.analysis.function.special.ErfInverse
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.FiltrationFunction
      • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Bt
      • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.F_sum_BtDt
      • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.F_sum_tBtDt
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.FiniteDifference
    • com.numericalmethod.suanshu.analysis.function.special.Gamma
    • com.numericalmethod.suanshu.analysis.function.special.Gaussian
    • com.numericalmethod.suanshu.analysis.function.special.LogGamma
    • com.numericalmethod.suanshu.analysis.interpolation.NevilleTable (implements com.numericalmethod.suanshu.analysis.interpolation.UnivariateRealInterpolator)
    • com.numericalmethod.suanshu.analysis.function.polynomial.Polynomial (implements com.numericalmethod.suanshu.mathstructure.Ring<R>, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
      • com.numericalmethod.suanshu.analysis.differentiation.univariate.DPolynomial
  • com.numericalmethod.suanshu.stats.timeseries.univariate.Util
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VarFitting
  • com.numericalmethod.suanshu.stats.descriptive.moment.Variance (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.Vecm
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VecmLongrun
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.arma.VecmTransitory
  • com.numericalmethod.suanshu.vector.doubles.dense.operation.VectorSpace
  • com.numericalmethod.suanshu.stats.distribution.univariate.WeibullDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.XtAdaptedFunction (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.FtAdaptedFunction)
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ZeroDrift (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.Drift)

Interface Hierarchy

• com.numericalmethod.suanshu.mathstructure.AbelianGroup<G>
  • com.numericalmethod.suanshu.mathstructure.BanachSpace<B,F>
    • com.numericalmethod.suanshu.mathstructure.HilbertSpace<H,F>
      • com.numericalmethod.suanshu.vector.doubles.Vector (also extends com.numericalmethod.suanshu.DeepCopyable)
    • com.numericalmethod.suanshu.vector.doubles.Vector (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.mathstructure.HilbertSpace<H,F>)
  • com.numericalmethod.suanshu.mathstructure.Field<F>
  • com.numericalmethod.suanshu.mathstructure.HilbertSpace<H,F>
    • com.numericalmethod.suanshu.vector.doubles.Vector (also extends com.numericalmethod.suanshu.DeepCopyable)
  • com.numericalmethod.suanshu.matrix.generic.Matrix<T,F> (also extends com.numericalmethod.suanshu.matrix.generic.MatrixAccessor<F>, com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.mathstructure.Ring<R>, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
  • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixAccessor, com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.matrix.doubles.MatrixRing)
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.matrix.doubles.MatrixRing
    • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixAccessor, com.numericalmethod.suanshu.matrix.MatrixDimension)
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.mathstructure.Ring<R> (also extends com.numericalmethod.suanshu.mathstructure.Monoid<G>)
    • com.numericalmethod.suanshu.mathstructure.Field<F>
    • com.numericalmethod.suanshu.matrix.generic.Matrix<T,F> (also extends com.numericalmethod.suanshu.matrix.generic.MatrixAccessor<F>, com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
    • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixAccessor, com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.matrix.doubles.MatrixRing)
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.matrix.doubles.MatrixRing
      • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixAccessor, com.numericalmethod.suanshu.matrix.MatrixDimension)
        • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.vector.doubles.Vector (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.mathstructure.HilbertSpace<H,F>)
  • com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>
    • com.numericalmethod.suanshu.mathstructure.BanachSpace<B,F>
      • com.numericalmethod.suanshu.mathstructure.HilbertSpace<H,F>
        • com.numericalmethod.suanshu.vector.doubles.Vector (also extends com.numericalmethod.suanshu.DeepCopyable)
      • com.numericalmethod.suanshu.vector.doubles.Vector (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.mathstructure.HilbertSpace<H,F>)
    • com.numericalmethod.suanshu.mathstructure.HilbertSpace<H,F>
      • com.numericalmethod.suanshu.vector.doubles.Vector (also extends com.numericalmethod.suanshu.DeepCopyable)
    • com.numericalmethod.suanshu.matrix.generic.Matrix<T,F> (also extends com.numericalmethod.suanshu.matrix.generic.MatrixAccessor<F>, com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.mathstructure.Ring<R>)
    • com.numericalmethod.suanshu.vector.doubles.Vector (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.mathstructure.HilbertSpace<H,F>)
• com.numericalmethod.suanshu.interval.Algebra
• com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.arma.ArmaFitting
• com.numericalmethod.suanshu.optimization.constrained.general.ConstrainedMinimizerFactory
• com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.Construction
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Construction
• com.numericalmethod.suanshu.analysis.function.rn2r1.ContinuedFraction.Partials
• com.numericalmethod.suanshu.DeepCopyable
  • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.matrix.doubles.MatrixAccessor, com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.matrix.doubles.MatrixRing)
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.MatrixData
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.vector.doubles.Vector (also extends com.numericalmethod.suanshu.mathstructure.HilbertSpace<H,F>)
• com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
• com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.Diffusion
• com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.DiscretizedSDE
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.DiscretizedSDE
• com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.DoubleArrayOperation
• com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.EigenDecomposition
• com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.ExponentialDistribution
  • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiFamily
• com.numericalmethod.suanshu.signalprocessing.filter.Filter
• com.numericalmethod.suanshu.stats.regression.linear.glm.Fitting
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.FtAdaptedFunction
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.coefficients.Diffusion
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.coefficients.Drift
• com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.FtAdaptedRealFunction
• com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.FtAdaptedVectorFunction
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.Drift
• com.numericalmethod.suanshu.analysis.function.Function
  • com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction
  • com.numericalmethod.suanshu.analysis.function.rn2rm.RealVectorFunction
  • com.numericalmethod.suanshu.analysis.function.matrix.RntoMatrix
• com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Hessenberg.DeflationCriterion
• com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Integrator
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.IterativeIntegrator
• com.numericalmethod.suanshu.parallel.IterationBody<T>
• com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterationMonitor
• com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver
• com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistributionSimulation.F
• com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction
• com.numericalmethod.suanshu.parallel.LoopBody
• com.numericalmethod.suanshu.optimization.constrained.linearprogramming.problem.LpProblem
• com.numericalmethod.suanshu.optimization.constrained.linearprogramming.LpSolution
• com.numericalmethod.suanshu.optimization.constrained.linearprogramming.LpSolver
• com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LUDecomposition
• com.numericalmethod.suanshu.matrix.doubles.MatrixAccessor
  • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.matrix.doubles.MatrixRing)
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
• com.numericalmethod.suanshu.matrix.generic.MatrixAccessor<F>
  • com.numericalmethod.suanshu.matrix.generic.Matrix<T,F> (also extends com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.mathstructure.Ring<R>, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
• com.numericalmethod.suanshu.matrix.MatrixDimension
  • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixAccessor, com.numericalmethod.suanshu.matrix.doubles.MatrixRing)
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.matrix.generic.Matrix<T,F> (also extends com.numericalmethod.suanshu.matrix.generic.MatrixAccessor<F>, com.numericalmethod.suanshu.mathstructure.Ring<R>, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
• com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation
• com.numericalmethod.suanshu.optimization.Minimizer
  • com.numericalmethod.suanshu.optimization.constrained.general.ConstrainedMinimizer
  • com.numericalmethod.suanshu.optimization.constrained.integer.IntegerConstrainedMinimizer
  • com.numericalmethod.suanshu.optimization.unconstrained.UnconstrainedMinimizer
• com.numericalmethod.suanshu.optimization.minmax.MinMaxProblem.Error
• com.numericalmethod.suanshu.optimization.minmax.MinMaxProblem.Gradient
• com.numericalmethod.suanshu.mathstructure.Monoid<G>
  • com.numericalmethod.suanshu.mathstructure.Field<F>
  • com.numericalmethod.suanshu.matrix.generic.Matrix<T,F> (also extends com.numericalmethod.suanshu.matrix.generic.MatrixAccessor<F>, com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.mathstructure.Ring<R>, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
  • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixAccessor, com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.matrix.doubles.MatrixRing)
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.matrix.doubles.MatrixRing
    • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixAccessor, com.numericalmethod.suanshu.matrix.MatrixDimension)
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.mathstructure.Ring<R> (also extends com.numericalmethod.suanshu.mathstructure.AbelianGroup<G>)
    • com.numericalmethod.suanshu.mathstructure.Field<F>
    • com.numericalmethod.suanshu.matrix.generic.Matrix<T,F> (also extends com.numericalmethod.suanshu.matrix.generic.MatrixAccessor<F>, com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
    • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixAccessor, com.numericalmethod.suanshu.matrix.MatrixDimension, com.numericalmethod.suanshu.matrix.doubles.MatrixRing)
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.matrix.doubles.MatrixRing
      • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixAccessor, com.numericalmethod.suanshu.matrix.MatrixDimension)
        • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix, com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure)
• com.numericalmethod.suanshu.optimization.unconstrained.NelderMead.BuildSimplex
• com.numericalmethod.suanshu.number.NumberUtils.Comparable<T>
• com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.PenaltyMethod.PenaltyFunctionFactory
• com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner
• com.numericalmethod.suanshu.stats.distribution.ProbabilityMassFunction<X>
• com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QRDecomposition
• com.numericalmethod.suanshu.analysis.function.polynomial.root.Quartic.QuarticSolver
• com.numericalmethod.suanshu.misc.R.ifelse
• com.numericalmethod.suanshu.misc.R.which
• com.numericalmethod.suanshu.stats.random.RandomNumberGenerator
  • com.numericalmethod.suanshu.stats.random.pseudorandom.linear.LinearCongruentialGenerator
  • com.numericalmethod.suanshu.stats.random.RandomLongGenerator
    • com.numericalmethod.suanshu.stats.random.pseudorandom.linear.LinearCongruentialGenerator
• com.numericalmethod.suanshu.stats.stochasticprocess.RandomProcess
• com.numericalmethod.suanshu.stats.random.multivariate.RandomVectorGenerator
• com.numericalmethod.suanshu.analysis.sequence.Sequence
• com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.pivoting.SimplexPivoting
• com.numericalmethod.suanshu.analysis.function.polynomial.root.Solver
• com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseStructure
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix)
• com.numericalmethod.suanshu.stats.descriptive.Statistic
• com.numericalmethod.suanshu.analysis.sequence.Summation.Term
• com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVDDecomposition
• com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.TimeGrid
• com.numericalmethod.suanshu.stats.timeseries.TimeSeries<T,V>
  • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateRealization
    • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.MultiVariateRealization
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.MultiVariateRealization
  • com.numericalmethod.suanshu.stats.timeseries.multivariate.MultiVariateTimeSeries<T>
    • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateRealization
      • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.MultiVariateRealization
    • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.MultiVariateRealization
    • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateTimeSeries
  • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateTimeSeries
  • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.Realization
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.Realization
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.Realization
  • com.numericalmethod.suanshu.stats.timeseries.univariate.TimeSeries<T>
    • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.Realization
      • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.Realization
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.Realization
    • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.TimeSeries
  • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.TimeSeries
• com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.Tolerance
• com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution
• com.numericalmethod.suanshu.analysis.interpolation.UnivariateRealInterpolator

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.FiniteDifference.Type
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.Dfdx.Method
    • com.numericalmethod.suanshu.analysis.function.polynomial.root.Solver.Type
    • com.numericalmethod.suanshu.analysis.function.special.LogGamma.Method
    • com.numericalmethod.suanshu.analysis.function.special.Gamma.Method
    • com.numericalmethod.suanshu.analysis.function.special.CumulativeNormal.Method
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.EulerMaclaurin.NewtonCotesType
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.PowerLawSingularity.Type
    • com.numericalmethod.suanshu.interval.Algebra.Relation
    • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Eigen.Method
    • com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QR.Method
    • com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVD.Method
    • com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LU.Method
    • com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolver.Method
    • com.numericalmethod.suanshu.matrix.doubles.linearsystem.Kernel.Method
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix.Type
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseElement.TopLeftFirstComparator (implements java.util.Comparator<T>)
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeSolver.ConvergenceFailure.Reason
    • com.numericalmethod.suanshu.number.DoubleUtils.RoundingScheme
    • com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.FirstOrder.Method
    • com.numericalmethod.suanshu.signalprocessing.filter.MovingAverage.Side
    • com.numericalmethod.suanshu.stats.descriptive.rank.Quantile.Type
    • com.numericalmethod.suanshu.stats.random.distribution.Uniform.Method
    • com.numericalmethod.suanshu.stats.random.distribution.Gaussian.Method
    • com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.Test
    • com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.TrendType
    • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.Side
    • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov.Type
    • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov.Side
    • com.numericalmethod.suanshu.stats.test.distribution.pearson.ChiSquare4Independence.Type
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.AugmentedDickeyFuller.TrendType
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.AdfAsymptoticDistribution1.Type
    • com.numericalmethod.suanshu.stats.test.variance.Levene.Type
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.AutoCovariance.Type
    • com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.Tableau.LabelType