Hierarchy For All Packages

Package Hierarchies:

• com.numericalmethod.suanshu,
• com.numericalmethod.suanshu.algorithm,
• com.numericalmethod.suanshu.algorithm.bb,
• com.numericalmethod.suanshu.algorithm.iterative,
• com.numericalmethod.suanshu.algorithm.iterative.monitor,
• com.numericalmethod.suanshu.algorithm.iterative.tolerance,
• com.numericalmethod.suanshu.analysis.differentiation,
• com.numericalmethod.suanshu.analysis.differentiation.differentiability,
• 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.rn2r1.univariate,
• com.numericalmethod.suanshu.analysis.function.rn2rm,
• com.numericalmethod.suanshu.analysis.function.special.beta,
• com.numericalmethod.suanshu.analysis.function.special.gamma,
• com.numericalmethod.suanshu.analysis.function.special.gaussian,
• com.numericalmethod.suanshu.analysis.function.tuple,
• 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.dsp.univariate.operation.system.doubles,
• com.numericalmethod.suanshu.interval,
• 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.eigen.qr,
• 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.doubles.operation.positivedefinite,
• 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.number.doublearray,
• com.numericalmethod.suanshu.optimization,
• com.numericalmethod.suanshu.optimization.constrained,
• com.numericalmethod.suanshu.optimization.constrained.constraint,
• com.numericalmethod.suanshu.optimization.constrained.constraint.general,
• com.numericalmethod.suanshu.optimization.constrained.constraint.linear,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.problem,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.problem,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.activeset,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver,
• com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.problem,
• com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod,
• com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset,
• com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint,
• com.numericalmethod.suanshu.optimization.constrained.integer,
• com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce,
• com.numericalmethod.suanshu.optimization.constrained.integer.linear.bb,
• com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane,
• com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem,
• com.numericalmethod.suanshu.optimization.constrained.problem,
• com.numericalmethod.suanshu.optimization.geneticalgorithm,
• com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim,
• com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained,
• com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local,
• com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid,
• com.numericalmethod.suanshu.optimization.initialization,
• com.numericalmethod.suanshu.optimization.minmax,
• com.numericalmethod.suanshu.optimization.problem,
• com.numericalmethod.suanshu.optimization.unconstrained,
• com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection,
• 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.optimization.univariate.bracketsearch,
• com.numericalmethod.suanshu.parallel,
• 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.multivariate,
• com.numericalmethod.suanshu.stats.dlm.univariate,
• com.numericalmethod.suanshu.stats.factoranalysis,
• com.numericalmethod.suanshu.stats.hmm,
• com.numericalmethod.suanshu.stats.hmm.mixture,
• com.numericalmethod.suanshu.stats.hmm.mixture.distribution,
• com.numericalmethod.suanshu.stats.hmm.rabiner,
• com.numericalmethod.suanshu.stats.markovchain,
• com.numericalmethod.suanshu.stats.pca,
• com.numericalmethod.suanshu.stats.random,
• com.numericalmethod.suanshu.stats.random.concurrent,
• com.numericalmethod.suanshu.stats.random.multivariate,
• com.numericalmethod.suanshu.stats.random.univariate,
• com.numericalmethod.suanshu.stats.random.univariate.beta,
• com.numericalmethod.suanshu.stats.random.univariate.exp,
• com.numericalmethod.suanshu.stats.random.univariate.gamma,
• com.numericalmethod.suanshu.stats.random.univariate.normal,
• com.numericalmethod.suanshu.stats.random.univariate.poisson,
• com.numericalmethod.suanshu.stats.random.univariate.uniform,
• com.numericalmethod.suanshu.stats.random.univariate.uniform.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.regression.panel,
• com.numericalmethod.suanshu.stats.sampling.discrete,
• com.numericalmethod.suanshu.stats.sampling.resampling,
• com.numericalmethod.suanshu.stats.sampling.resampling.bootstrap,
• 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.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.arima,
• com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess,
• com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma,
• com.numericalmethod.suanshu.stats.timeseries.linear.univariate,
• com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima,
• com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample,
• com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess,
• com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.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,
• com.numericalmethod.suanshu.vector.doubles.operation

Class Hierarchy

• java.lang.Object
  • com.numericalmethod.suanshu.algorithm.iterative.tolerance.AbsoluteTolerance (implements com.numericalmethod.suanshu.algorithm.iterative.tolerance.Tolerance)
  • java.util.AbstractCollection<E> (implements java.util.Collection<E>)
    • java.util.AbstractSet<E> (implements java.util.Set<E>)
      • java.util.TreeSet<E> (implements java.lang.Cloneable, java.util.NavigableSet<E>, java.io.Serializable)
        • com.numericalmethod.suanshu.analysis.function.tuple.BinaryRelation (implements com.numericalmethod.suanshu.analysis.function.tuple.OrderedPairs)
  • com.numericalmethod.suanshu.matrix.doubles.AreMatrices
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima.ARIMAXModel (implements java.io.Serializable)
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima.ARIMAModel
      • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.ARMAModel
        • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.ARModel
        • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.MAModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.ARMAXModel
      • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARXModel
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMAXModel (implements java.io.Serializable)
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMAModel
      • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAModel
        • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARModel
        • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.MAModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAXModel
  • com.numericalmethod.suanshu.stats.test.distribution.pearson.AS159 (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.test.distribution.pearson.AS159.RandomMatrix (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.regression.linear.modelselection.Backward
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.BackwardSubstitution
  • com.numericalmethod.suanshu.stats.regression.linear.Beta (implements java.io.Serializable)
    • 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.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BetaDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.HMMDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BetaDistribution.Lambda (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientStabilizedSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization.BiDiagonalization (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix
  • com.numericalmethod.suanshu.number.big.BigDecimalUtils
  • com.numericalmethod.suanshu.number.big.BigIntegerUtils
  • com.numericalmethod.suanshu.stats.distribution.univariate.BinomialDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BinomialDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.HMMDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BinomialDistribution.Lambda (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.random.univariate.BinomialRng (implements com.numericalmethod.suanshu.stats.random.univariate.RandomNumberGenerator)
  • 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.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.arma.AutoCovariance
    • com.numericalmethod.suanshu.analysis.function.special.beta.Beta
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.DBeta
    • com.numericalmethod.suanshu.analysis.function.special.gamma.GammaLowerIncomplete
    • com.numericalmethod.suanshu.analysis.function.special.gamma.GammaRegularizedP
    • com.numericalmethod.suanshu.analysis.function.special.gamma.GammaRegularizedPInverse
    • com.numericalmethod.suanshu.analysis.function.special.gamma.GammaRegularizedQ
    • com.numericalmethod.suanshu.analysis.function.special.gamma.GammaUpperIncomplete
    • com.numericalmethod.suanshu.analysis.function.special.beta.LogBeta
  • com.numericalmethod.suanshu.stats.sampling.resampling.bootstrap.BootstrapEstimator (implements java.io.Serializable)
  • com.numericalmethod.suanshu.optimization.constrained.constraint.linear.BoxConstraints (implements java.io.Serializable)
  • com.numericalmethod.suanshu.optimization.constrained.constraint.linear.BoxConstraints.Bound (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.random.univariate.normal.BoxMuller (implements com.numericalmethod.suanshu.stats.random.univariate.normal.RandomStandardNormalNumberGenerator)
  • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.BracketSearch (implements com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer)
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Brent
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Fibonacci
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Golden
  • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.BracketSearch.Solution (implements com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer.Solution)
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Brent.Solution
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Fibonacci.Solution
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Golden.Solution
  • com.numericalmethod.suanshu.algorithm.bb.BranchAndBound (implements com.numericalmethod.suanshu.algorithm.iterative.IterativeMethod<S>, com.numericalmethod.suanshu.optimization.problem.MinimizationSolution<T>)
  • com.numericalmethod.suanshu.analysis.uniroot.Brent (implements com.numericalmethod.suanshu.analysis.uniroot.Uniroot)
  • 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.BruteForceIPMinimizer (implements com.numericalmethod.suanshu.optimization.constrained.integer.IPMinimizer<T,S>)
  • com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce.BruteForceIPMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.problem.MinimizationSolution<T>)
  • com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce.BruteForceIPProblem.IntegerDomain (implements java.io.Serializable)
  • com.numericalmethod.suanshu.optimization.problem.C2OptimProblemImpl (implements com.numericalmethod.suanshu.optimization.problem.C2OptimProblem)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.CentralPath (implements java.io.Serializable)
  • 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 (implements com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Spectrum)
  • com.numericalmethod.suanshu.stats.random.univariate.beta.Cheng1978 (implements com.numericalmethod.suanshu.stats.random.univariate.beta.RandomBetaGenerator)
  • com.numericalmethod.suanshu.stats.distribution.univariate.ChiSquareDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.Cholesky (implements java.io.Serializable)
  • 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 (implements java.io.Serializable)
  • com.numericalmethod.suanshu.algorithm.Combination<T> (implements java.lang.Iterable<T>)
  • com.numericalmethod.suanshu.matrix.generic.matrixtype.ComplexMatrix (implements com.numericalmethod.suanshu.matrix.generic.Matrix<T,F>)
  • com.numericalmethod.suanshu.number.doublearray.CompositeDoubleArrayOperation (implements com.numericalmethod.suanshu.number.doublearray.DoubleArrayOperation)
  • com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.CompositeLinearCongruentialGenerator (implements com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedGenerator<T> (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedRLG (implements com.numericalmethod.suanshu.stats.random.univariate.RandomLongGenerator)
  • com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedRNG (implements com.numericalmethod.suanshu.stats.random.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedRVG (implements com.numericalmethod.suanshu.stats.random.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ConditionalSumOfSquares (implements com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAFitting)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalErrorSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalResidualSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSquaredSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • 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.problem.ConstrainedOptimProblemImpl1 (implements com.numericalmethod.suanshu.optimization.constrained.problem.ConstrainedOptimProblem)
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.problem.SDPDualProblem
  • com.numericalmethod.suanshu.optimization.constrained.constraint.ConstraintsUtils
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.Coordinates (implements java.io.Serializable)
  • com.numericalmethod.suanshu.number.Counter (implements java.io.Serializable)
  • com.numericalmethod.suanshu.algorithm.iterative.monitor.CountMonitor<S> (implements com.numericalmethod.suanshu.algorithm.iterative.monitor.IterationMonitor<S>)
  • 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 (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.CubicRoot (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver)
  • com.numericalmethod.suanshu.stats.timeseries.DateTimeGenericTimeSeries<V> (implements com.numericalmethod.suanshu.stats.timeseries.TimeSeries<T,V,E>)
  • com.numericalmethod.suanshu.stats.timeseries.DateTimeGenericTimeSeries.Entry<V> (implements com.numericalmethod.suanshu.stats.timeseries.TimeSeries.Entry<T,V>)
  • com.numericalmethod.suanshu.optimization.initialization.DefaultSimplex (implements com.numericalmethod.suanshu.optimization.initialization.BuildInitials)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseData (implements com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixAccess)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseMatrix (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix)
    • com.numericalmethod.suanshu.matrix.doubles.operation.CongruentMatrix
    • com.numericalmethod.suanshu.stats.descriptive.CorrelationMatrix
    • com.numericalmethod.suanshu.stats.descriptive.CovarianceMatrix
    • com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.GoldfeldQuandtTrotter
    • com.numericalmethod.suanshu.matrix.doubles.operation.Inverse
    • com.numericalmethod.suanshu.analysis.differentiation.multivariate.Jacobian
    • com.numericalmethod.suanshu.matrix.doubles.operation.KroneckerProduct
    • com.numericalmethod.suanshu.matrix.doubles.operation.MAT
    • com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.MatthewsDavies
    • com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.PositiveDefiniteMatrixByPositiveDiagonal
      • com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.PositiveSemiDefiniteMatrixNonNegativeDiagonal
    • com.numericalmethod.suanshu.matrix.doubles.operation.Pow
    • com.numericalmethod.suanshu.matrix.doubles.operation.PseudoInverse
    • com.numericalmethod.suanshu.matrix.doubles.operation.SimilarMatrix
    • com.numericalmethod.suanshu.matrix.doubles.operation.SymmetricKronecker
  • com.numericalmethod.suanshu.vector.doubles.dense.DenseVector (implements com.numericalmethod.suanshu.vector.doubles.Vector)
    • com.numericalmethod.suanshu.analysis.differentiation.multivariate.Gradient
    • com.numericalmethod.suanshu.matrix.doubles.operation.SVEC
  • com.numericalmethod.suanshu.stats.regression.linear.ols.Diagnostics (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.DiagonalMatrix
  • com.numericalmethod.suanshu.datastructure.DimensionCheck
  • com.numericalmethod.suanshu.stats.sampling.discrete.DiscreteSampling<X>
  • com.numericalmethod.suanshu.stats.dlm.multivariate.DLM (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.dlm.univariate.DLM (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.dlm.multivariate.DLMSeries (implements com.numericalmethod.suanshu.stats.timeseries.TimeSeries<T,V,E>)
  • com.numericalmethod.suanshu.stats.dlm.univariate.DLMSeries (implements com.numericalmethod.suanshu.stats.timeseries.TimeSeries<T,V,E>)
  • com.numericalmethod.suanshu.stats.dlm.multivariate.DLMSeries.Entry (implements com.numericalmethod.suanshu.stats.timeseries.TimeSeries.Entry<T,V>)
  • com.numericalmethod.suanshu.stats.dlm.univariate.DLMSeries.Entry (implements com.numericalmethod.suanshu.stats.timeseries.TimeSeries.Entry<T,V>)
  • com.numericalmethod.suanshu.stats.dlm.multivariate.DLMSim (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.dlm.univariate.DLMSim
  • com.numericalmethod.suanshu.stats.dlm.multivariate.DLMSim.Innovation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.dlm.univariate.DLMSim.Innovation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.DOKSparseMatrix (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.Doolittle (implements com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LUDecomposition)
  • com.numericalmethod.suanshu.number.doublearray.DoubleArrayMath
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.DoubleExponential (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
    • 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.number.DoubleUtils
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Eigen (implements com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Spectrum)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.EigenDecomposition (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.EigenProperty (implements java.io.Serializable)
  • com.numericalmethod.suanshu.number.complex.ElementaryFunction
  • com.numericalmethod.suanshu.matrix.doubles.operation.ElementaryOperation (implements com.numericalmethod.suanshu.matrix.doubles.MatrixTable)
  • com.numericalmethod.suanshu.stats.distribution.univariate.EmpiricalDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
    • 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.stats.stochasticprocess.timepoints.EvenlySpacedGrid (implements com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.TimeGrid)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Expectation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Expectation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.Exponential (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
  • com.numericalmethod.suanshu.stats.distribution.univariate.ExponentialDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.ExponentialDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.HMMDistribution)
  • com.numericalmethod.suanshu.stats.factoranalysis.FactorAnalysis (implements java.io.Serializable)
  • 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.matrix.doubles.operation.FastKroneckerProduct (implements com.numericalmethod.suanshu.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.stats.distribution.univariate.FDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.FerrisMangasarianWrightPhase1 (implements java.io.Serializable)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.FerrisMangasarianWrightPhase2 (implements com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>)
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPCanonicalSolver
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.FerrisMangasarianWrightScheme2 (implements java.io.Serializable)
  • com.numericalmethod.suanshu.analysis.sequence.Fibonacci (implements com.numericalmethod.suanshu.analysis.sequence.Sequence)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Filtration (implements java.io.Serializable)
  • com.numericalmethod.suanshu.analysis.differentiation.multivariate.FiniteDifference (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
  • com.numericalmethod.suanshu.optimization.unconstrained.linesearch.Fletcher (implements com.numericalmethod.suanshu.optimization.unconstrained.linesearch.LineSearch)
  • com.numericalmethod.suanshu.datastructure.FlexibleTable (implements com.numericalmethod.suanshu.matrix.doubles.MatrixTable)
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.JordanExchange
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.SimplexTable (implements com.numericalmethod.suanshu.optimization.problem.MinimizationSolution<T>)
  • 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, java.io.Serializable)
    • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.FtWt
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Ft (implements com.numericalmethod.suanshu.DeepCopyable, java.io.Serializable)
    • 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.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.GammaDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.HMMDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.GammaDistribution.Lambda (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCH (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCHModel (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussianElimination (implements java.io.Serializable)
  • 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 (implements java.io.Serializable)
  • com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.GaussNewton
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.GaussSeidelSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralConstraints (implements com.numericalmethod.suanshu.optimization.constrained.constraint.Constraints)
    • com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralEqualityConstraints (implements com.numericalmethod.suanshu.optimization.constrained.constraint.EqualityConstraints)
    • com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralGreaterThanConstraints (implements com.numericalmethod.suanshu.optimization.constrained.constraint.GreaterThanConstraints)
    • com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralLessThanConstraints (implements com.numericalmethod.suanshu.optimization.constrained.constraint.LessThanConstraints)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedConjugateResidualSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.GeneralizedLinearModel (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.GeneralizedLinearModelQuasiFamily (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedMinimalResidualSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • 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,E>)
  • com.numericalmethod.suanshu.stats.timeseries.univariate.GenericTimeTimeSeries<T> (implements com.numericalmethod.suanshu.stats.timeseries.univariate.TimeSeries<T,E>)
    • com.numericalmethod.suanshu.stats.timeseries.univariate.DateTimeTimeSeries
  • com.numericalmethod.suanshu.optimization.geneticalgorithm.GeneticAlgorithm (implements java.io.Serializable)
    • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.problem.IterativeMinimizer<S>)
      • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptim.Solution
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.GivensMatrix (implements com.numericalmethod.suanshu.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.svd.GloubKahanSVD (implements com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVDDecomposition)
  • com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.GomoryMixedCut.MyCutter (implements com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.SimplexCuttingPlane.CutterFactory.Cutter)
  • com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.GomoryPureCut.MyCutter (implements com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.SimplexCuttingPlane.CutterFactory.Cutter)
  • 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.optimization.univariate.GridSearch (implements com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer)
  • com.numericalmethod.suanshu.optimization.univariate.GridSearch.Solution (implements com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer.Solution)
  • com.numericalmethod.suanshu.analysis.uniroot.Halley (implements com.numericalmethod.suanshu.analysis.uniroot.Uniroot)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.Hessenberg (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.Hessenberg.DefaultDeflationCriterion (implements com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.Hessenberg.DeflationCriterion)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.Hessenberg.Deflation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.HessenbergDecomposition (implements java.io.Serializable)
  • com.numericalmethod.suanshu.analysis.differentiation.multivariate.HessianFunction (implements com.numericalmethod.suanshu.analysis.function.matrix.RntoMatrix)
  • com.numericalmethod.suanshu.stats.hmm.mixture.HmmBaumWelch.TrainedModel (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.hmm.mixture.HmmForwardBackward
  • com.numericalmethod.suanshu.stats.hmm.rabiner.HmmForwardBackward (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.hmm.rabiner.HmmGamma (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.hmm.HmmInnovation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.hmm.mixture.HmmViterbi (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.hmm.rabiner.HmmXi (implements java.io.Serializable)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.HomogeneousPathFollowing (implements com.numericalmethod.suanshu.optimization.constrained.ConstrainedMinimizer<P,S>)
  • com.numericalmethod.suanshu.analysis.function.polynomial.HornerScheme (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.operation.Householder (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.operation.Householder.Context (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.qr.HouseholderReflection (implements com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QRDecomposition)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.Hp (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.test.HypothesisTest (implements java.io.Serializable)
    • 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.factoranalysis.FAEstimator
    • 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.optimization.constrained.integer.linear.bb.ILPBranchAndBound (implements com.numericalmethod.suanshu.optimization.constrained.integer.IPMinimizer<T,S>)
  • com.numericalmethod.suanshu.optimization.constrained.integer.linear.bb.ILPNode (implements com.numericalmethod.suanshu.algorithm.bb.BBNode)
  • com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.ILPProblemImpl1 (implements com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.ILPProblem)
    • com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.PureILPProblem
  • 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 (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.operation.InnerProduct (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.InnovationAlgorithm (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.InnovationAlgorithmImpl (implements java.io.Serializable)
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.InnovationAlgorithm
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.InnovationAlgorithm
  • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.AllIntegers (implements com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.IntegerConstraint)
  • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.SomeIntegers (implements com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.IntegerConstraint)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Integrator (implements java.io.Serializable)
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.IntegralDB
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.IntegralDt
  • com.numericalmethod.suanshu.interval.Interval<T> (implements java.io.Serializable)
    • com.numericalmethod.suanshu.interval.RealInterval
    • com.numericalmethod.suanshu.time.TimeInterval
  • com.numericalmethod.suanshu.interval.Intervals<T> (implements java.io.Serializable)
    • 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.matrix.doubles.factorization.eigen.InverseIteration (implements java.io.Serializable)
  • 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.univariate.InverseTransformSampling (implements com.numericalmethod.suanshu.stats.random.univariate.RandomNumberGenerator)
    • com.numericalmethod.suanshu.stats.random.univariate.exp.InverseTransformSamplingExpRng (implements com.numericalmethod.suanshu.stats.random.univariate.exp.RandomExpGenerator)
    • com.numericalmethod.suanshu.stats.random.univariate.gamma.InverseTransformSamplingGammaRng (implements com.numericalmethod.suanshu.stats.random.univariate.gamma.RandomGammaGenerator)
    • com.numericalmethod.suanshu.stats.random.univariate.RayleighRng
    • com.numericalmethod.suanshu.stats.random.univariate.WeibullRng
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.Invertibility (implements java.io.Serializable)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.InvertingVariable (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
  • com.numericalmethod.suanshu.optimization.constrained.integer.IPProblemImpl1 (implements com.numericalmethod.suanshu.optimization.constrained.integer.IPProblem)
    • com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce.BruteForceIPProblem
  • com.numericalmethod.suanshu.matrix.doubles.IsMatrix
  • com.numericalmethod.suanshu.vector.doubles.IsVector
  • com.numericalmethod.suanshu.algorithm.iterative.monitor.IteratesMonitor<S> (implements com.numericalmethod.suanshu.algorithm.iterative.monitor.IterationMonitor<S>)
    • com.numericalmethod.suanshu.algorithm.iterative.monitor.VectorMonitor
  • 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.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JenkinsTraubReal (implements java.io.Serializable)
  • com.numericalmethod.suanshu.time.JodaTimeUtils
  • com.numericalmethod.suanshu.stats.cointegration.JohansenTest (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.Kernel (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.random.univariate.poisson.Knuth1969 (implements com.numericalmethod.suanshu.stats.random.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.random.univariate.gamma.KunduGupta2007 (implements com.numericalmethod.suanshu.stats.random.univariate.gamma.RandomGammaGenerator)
  • com.numericalmethod.suanshu.stats.descriptive.moment.Kurtosis (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.analysis.function.special.gamma.Lanczos (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LDL (implements java.io.Serializable)
  • com.numericalmethod.suanshu.optimization.minmax.LeastPth<T> (implements com.numericalmethod.suanshu.optimization.minmax.MinMaxMinimizer<T>)
  • com.numericalmethod.suanshu.analysis.integration.univariate.Lebesgue (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.LEcuyer (implements com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.Lehmer (implements com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.LILSparseMatrix (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseMatrix)
  • com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearConstraints (implements com.numericalmethod.suanshu.optimization.constrained.constraint.Constraints)
    • com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearEqualityConstraints (implements com.numericalmethod.suanshu.optimization.constrained.constraint.EqualityConstraints)
    • com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearGreaterThanConstraints (implements com.numericalmethod.suanshu.optimization.constrained.constraint.GreaterThanConstraints)
      • com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LowerBoundConstraints
        • com.numericalmethod.suanshu.optimization.constrained.constraint.linear.NonNegativityConstraints
    • com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearLessThanConstraints (implements com.numericalmethod.suanshu.optimization.constrained.constraint.LessThanConstraints)
      • com.numericalmethod.suanshu.optimization.constrained.constraint.linear.UpperBoundConstraints
  • com.numericalmethod.suanshu.stats.dlm.multivariate.LinearKalmanFilter (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.dlm.univariate.LinearKalmanFilter (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.LinearRepresentation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.LinearRepresentation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.LinearRoot (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver)
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.LinearSystemSolver (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.regression.linear.LMProblem (implements java.io.Serializable)
    • 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 (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Logit (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.distribution.univariate.LogNormalDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.LogNormalDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.HMMDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.LogNormalDistribution.Lambda (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.random.univariate.LogNormalRng (implements com.numericalmethod.suanshu.stats.random.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.LowerTriangularMatrix (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix)
    • com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.CholeskyWang2006
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPBoundedMinimizer (implements com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexMinimizer)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.LPProblemImpl1 (implements com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.CanonicalLPProblem1
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.CanonicalLPProblem2
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.StandardLPProblem
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPTwoPhaseSolver (implements com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPUnboundedMinimizer (implements com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexMinimizer)
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPUnboundedMinimizerScheme2
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.LSProblem (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LU (implements com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LUDecomposition)
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.LUSolver
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.MADecomposition (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.random.univariate.normal.MarsagliaBray1964 (implements com.numericalmethod.suanshu.stats.random.univariate.normal.RandomStandardNormalNumberGenerator)
  • com.numericalmethod.suanshu.stats.random.univariate.gamma.MarsagliaTsang2000 (implements com.numericalmethod.suanshu.stats.random.univariate.gamma.RandomGammaGenerator)
  • com.numericalmethod.suanshu.datastructure.MathTable (implements java.io.Serializable)
  • com.numericalmethod.suanshu.datastructure.MathTable.Row (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.operation.MatrixMeasure
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.MatrixStorageImpl (implements com.numericalmethod.suanshu.matrix.doubles.MatrixAccess, com.numericalmethod.suanshu.datastructure.Table)
  • 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.markovchain.MCUtils
  • com.numericalmethod.suanshu.stats.descriptive.moment.Mean (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.stats.random.univariate.uniform.MersenneTwister (implements com.numericalmethod.suanshu.stats.random.univariate.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.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.stats.descriptive.moment.Moments (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.MovingAverage (implements com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.Filter)
  • com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.MovingAverageByExtension (implements com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.Filter)
  • com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.MRG (implements com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.stats.random.multivariate.MultinomialRvg (implements com.numericalmethod.suanshu.stats.random.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.optimization.unconstrained.MultivariateMaximizer (implements com.numericalmethod.suanshu.optimization.Optimizer<P,S>)
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.MultiVariateRealization.Iterator (implements java.util.Iterator<E>, java.io.Serializable)
  • com.numericalmethod.suanshu.stats.timeseries.multivariate.MultiVariateTimeSeries.Entry<T> (implements com.numericalmethod.suanshu.stats.timeseries.TimeSeries.Entry<T,V>)
    • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateRealization.Entry
    • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateTimeSeries.Entry
  • com.numericalmethod.suanshu.parallel.Mutex
  • com.numericalmethod.suanshu.stats.random.univariate.uniform.MWC8222 (implements com.numericalmethod.suanshu.stats.random.univariate.RandomLongGenerator)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.NaiveRule (implements com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SimplexPivoting)
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SmallestSubscriptRule
  • com.numericalmethod.suanshu.optimization.unconstrained.NelderMead (implements com.numericalmethod.suanshu.optimization.unconstrained.MultivariateMinimizer<S>)
  • com.numericalmethod.suanshu.optimization.unconstrained.NelderMead.Solution (implements com.numericalmethod.suanshu.optimization.problem.IterativeMinimizer<S>)
  • com.numericalmethod.suanshu.analysis.uniroot.Newton (implements com.numericalmethod.suanshu.analysis.uniroot.Uniroot)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.NewtonCotes (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.analysis.integration.univariate.riemann.substitution.NoChangeOfVariable (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
  • com.numericalmethod.suanshu.optimization.constrained.problem.NonNegativityConstraintOptimProblem (implements com.numericalmethod.suanshu.optimization.constrained.problem.ConstrainedOptimProblem)
  • com.numericalmethod.suanshu.stats.sampling.resampling.bootstrap.NonParametricBootstrap (implements com.numericalmethod.suanshu.stats.sampling.resampling.Resampling)
  • com.numericalmethod.suanshu.stats.distribution.univariate.NormalDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.NormalDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.HMMDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.NormalDistribution.Lambda (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.random.univariate.normal.NormalRng (implements com.numericalmethod.suanshu.stats.random.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.random.multivariate.NormalRvg (implements com.numericalmethod.suanshu.stats.random.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.algorithm.iterative.monitor.NullMonitor<S> (implements com.numericalmethod.suanshu.algorithm.iterative.monitor.IterationMonitor<S>)
  • 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.multivariate.ObservationEquation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.dlm.univariate.ObservationEquation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.regression.panel.OLSPanelRegression (implements com.numericalmethod.suanshu.stats.regression.panel.PanelRegression)
  • com.numericalmethod.suanshu.stats.regression.linear.ols.OLSRegression (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolverByQR
    • com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolver
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolverBySVD
  • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.OneDimensionTimeSeries<T> (implements com.numericalmethod.suanshu.stats.timeseries.univariate.TimeSeries<T,E>)
  • com.numericalmethod.suanshu.analysis.function.tuple.Pair (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.regression.panel.PanelRegressionResult (implements java.io.Serializable)
  • com.numericalmethod.suanshu.number.doublearray.ParallelDoubleArrayOperation (implements com.numericalmethod.suanshu.number.doublearray.DoubleArrayOperation)
  • com.numericalmethod.suanshu.parallel.ParallelExecutor
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.ParallelMatrixMathOperation (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation)
  • com.numericalmethod.suanshu.stats.pca.PCAbyEigen
  • com.numericalmethod.suanshu.stats.pca.PCAbySVD
  • 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.PenaltyMethodMinimizer (implements com.numericalmethod.suanshu.optimization.constrained.ConstrainedMinimizer<P,S>)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.PermutationMatrix (implements com.numericalmethod.suanshu.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.stats.distribution.univariate.PoissonDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.PoissonDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.HMMDistribution)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRoot (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.PowerLawSingularity (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint.PrimalDualInteriorPoint (implements com.numericalmethod.suanshu.optimization.constrained.ConstrainedMinimizer<P,S>)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint.PrimalDualInteriorPoint.Solution (implements com.numericalmethod.suanshu.optimization.problem.IterativeMinimizer<S>)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.PrimalDualPathFollowing (implements com.numericalmethod.suanshu.optimization.constrained.ConstrainedMinimizer<P,S>)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.PrimalDualPathFollowing.Solution (implements com.numericalmethod.suanshu.optimization.problem.IterativeMinimizer<S>)
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.HomogeneousPathFollowing.Solution
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint.PrimalDualSolution (implements java.io.Serializable)
  • 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.operation.Projection (implements java.io.Serializable)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.activeset.QPPrimalActiveSetSolver (implements com.numericalmethod.suanshu.optimization.constrained.ConstrainedMinimizer<P,S>)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.activeset.QPPrimalActiveSetSolver.Solution (implements com.numericalmethod.suanshu.optimization.problem.IterativeMinimizer<S>)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.problem.QPProblem (implements com.numericalmethod.suanshu.optimization.constrained.problem.ConstrainedOptimProblem)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.QPSimpleSolver
  • com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QR (implements com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QRDecomposition)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.QRAlgorithm (implements com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Spectrum)
  • com.numericalmethod.suanshu.analysis.function.rn2r1.QuadraticFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.problem.QPProblemOnlyEqualityConstraints
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.QuadraticRoot (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver)
  • com.numericalmethod.suanshu.analysis.function.polynomial.QuadraticSyntheticDivision (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.descriptive.rank.Quantile (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRoot (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRootFerrari (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRoot.QuarticSolver)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRootFormula (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRoot.QuarticSolver)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.QuasiMinimalResidualSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • 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.arma.AutoCorrelation
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.AutoCovarianceFunction
      • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.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 (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.distribution.univariate.RayleighDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.Realization.Iterator (implements java.util.Iterator<E>, java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.generic.matrixtype.RealMatrix (implements com.numericalmethod.suanshu.matrix.generic.Matrix<T,F>)
  • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.RealScalarFunctionChromosome (implements com.numericalmethod.suanshu.optimization.geneticalgorithm.Chromosome)
    • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory.SimpleCell
      • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptimCellFactory.DeOptimCell
        • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.ConstrainedCellFactory.ConstrainedCell
        • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Rand1Bin.DeRand1BinCell
          • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Best2Bin.DeBest2BinCell
      • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local.LocalSearchCellFactory.LocalSearchCell
  • com.numericalmethod.suanshu.parallel.Reference<T>
  • com.numericalmethod.suanshu.algorithm.iterative.tolerance.RelativeTolerance (implements com.numericalmethod.suanshu.algorithm.iterative.tolerance.Tolerance)
  • com.numericalmethod.suanshu.stats.regression.linear.Residuals (implements java.io.Serializable)
    • 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.RngUtils
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Romberg (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Integrator)
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.SDE (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.SDE (implements java.io.Serializable)
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.GeometricBrownian
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.problem.SDPDualProblem.EqualityConstraints (implements com.numericalmethod.suanshu.optimization.constrained.constraint.EqualityConstraints)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.problem.SDPPrimalProblem
  • com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.random.univariate.uniform.SHR0 (implements com.numericalmethod.suanshu.stats.random.univariate.RandomLongGenerator)
  • com.numericalmethod.suanshu.stats.random.univariate.uniform.SHR3 (implements com.numericalmethod.suanshu.stats.random.univariate.RandomLongGenerator)
  • 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.optimization.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory (implements java.io.Serializable)
    • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptimCellFactory
      • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.ConstrainedCellFactory
        • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory
      • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Rand1Bin
        • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Best1Bin
          • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Best2Bin
    • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local.LocalSearchCellFactory<P,T>
  • com.numericalmethod.suanshu.number.doublearray.SimpleDoubleArrayOperation (implements com.numericalmethod.suanshu.number.doublearray.DoubleArrayOperation)
  • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer (implements com.numericalmethod.suanshu.optimization.Minimizer<P,S>)
    • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptim
    • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local.GlobalSearchByLocalMinimizer
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.SimpleMatrixMathOperation (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation, java.io.Serializable)
  • com.numericalmethod.suanshu.stats.markovchain.SimpleMC (implements com.numericalmethod.suanshu.stats.random.univariate.RandomNumberGenerator)
    • com.numericalmethod.suanshu.stats.hmm.HiddenMarkovModel
      • com.numericalmethod.suanshu.stats.hmm.mixture.HiddenMarkovModel
        • com.numericalmethod.suanshu.stats.hmm.mixture.HmmBaumWelch
      • com.numericalmethod.suanshu.stats.hmm.rabiner.HiddenMarkovModel
        • com.numericalmethod.suanshu.stats.hmm.rabiner.HmmTrainByEM
  • com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.SimpleMultiVariateTimeSeries (implements com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateTimeSeries)
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.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.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.integer.linear.cuttingplane.SimplexCuttingPlane (implements com.numericalmethod.suanshu.optimization.constrained.ConstrainedMinimizer<P,S>)
    • com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.GomoryMixedCut
    • com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.GomoryPureCut
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SimplexPivoting.Pivot (implements java.io.Serializable)
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.SimplexTable.Label (implements java.io.Serializable)
  • 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.optimization.constrained.convex.sdp.socp.problem.SOCPDualProblem (implements com.numericalmethod.suanshu.optimization.constrained.problem.ConstrainedOptimProblem)
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.problem.SOCPGeneralProblem
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.problem.SOCPDualProblem.EqualityConstraints (implements com.numericalmethod.suanshu.optimization.constrained.constraint.EqualityConstraints)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SORSweep (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseEntry (implements java.io.Serializable)
  • 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.vector.doubles.dense.operation.Basis
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseVector.Entry (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseVector.Iterator (implements java.util.Iterator<E>)
  • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPActiveSetSolver (implements com.numericalmethod.suanshu.optimization.constrained.ConstrainedMinimizer<P,S>)
    • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPActiveSetSolverForOnlyInequalityConstraint
  • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPActiveSetSolver.Solution (implements com.numericalmethod.suanshu.optimization.problem.IterativeMinimizer<S>)
    • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPActiveSetSolverForOnlyInequalityConstraint.Solution
  • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetSolverForOnlyEqualityConstraint1 (implements com.numericalmethod.suanshu.optimization.constrained.ConstrainedMinimizer<P,S>)
    • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetSolverForOnlyEqualityConstraint2
  • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation1 (implements com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation)
    • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation2
  • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPASVariation1 (implements com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPASVariation)
  • 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.analysis.integration.univariate.riemann.substitution.StandardInterval (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
  • com.numericalmethod.suanshu.stats.dlm.multivariate.StateEquation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.dlm.univariate.StateEquation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.SteepestDescent (implements com.numericalmethod.suanshu.optimization.unconstrained.MultivariateMinimizer<S>)
    • 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.MySteepestDescent
    • 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.SteepestDescentImpl (implements com.numericalmethod.suanshu.optimization.problem.IterativeMinimizer<S>)
    • com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.GaussNewton.MySteepestDescent.GaussNewtonImpl
    • com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.NewtonRaphson.NewtonRaphsonImpl
    • com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.Powell.PowellImpl
    • com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.QuasiNewton.QuasiNewtonImpl
      • com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.BFGS.BFGSImpl
      • com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.Huang.HuangImpl
    • com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.Zangwill.ZangwillImpl
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.SteepestDescentSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.misc.SuanShuUtils
  • com.numericalmethod.suanshu.analysis.function.SubFunction<R> (implements com.numericalmethod.suanshu.analysis.function.Function<D,R>)
    • com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarSubFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
    • com.numericalmethod.suanshu.analysis.function.rn2rm.RealVectorSubFunction (implements com.numericalmethod.suanshu.analysis.function.rn2rm.RealVectorFunction)
  • com.numericalmethod.suanshu.matrix.doubles.operation.SubMatrixRef (implements com.numericalmethod.suanshu.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SuccessiveOverrelaxationSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.analysis.sequence.Summation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVD (implements com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVDDecomposition)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.SymmetricMatrix (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix)
    • 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.sparse.solver.iterative.stationary.SymmetricSuccessiveOverrelaxationSolver (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.stats.descriptive.SynchronizedStatistic (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.stats.distribution.univariate.TDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.ConvergenceFailure
      • com.numericalmethod.suanshu.mathstructure.Field.InverseNonExistent
      • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPException
        • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPInfeasible
        • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPUnbounded
      • com.numericalmethod.suanshu.parallel.MultipleExecutionException
      • com.numericalmethod.suanshu.analysis.uniroot.NoRootFoundException
      • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.QPException
        • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.QPInfeasible
      • java.lang.RuntimeException
        • com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.ContinuedFraction.MaxIterationsExceededException
        • com.numericalmethod.suanshu.analysis.interpolation.DuplicatedAbscissae
        • com.numericalmethod.suanshu.analysis.function.Function.EvaluationException
        • com.numericalmethod.suanshu.vector.doubles.IsVector.SizeMismatch
        • com.numericalmethod.suanshu.vector.doubles.IsVector.VectorAccessException
        • com.numericalmethod.suanshu.matrix.doubles.linearsystem.LinearSystemSolver.NoSolution
        • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPRuntimeException
          • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPDimensionNotMatched
          • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPEmptyCostVector
          • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPNoConstraint
        • com.numericalmethod.suanshu.matrix.MatrixAccessException
        • com.numericalmethod.suanshu.matrix.MatrixMismatchException
        • com.numericalmethod.suanshu.matrix.MatrixSingularityException
  • com.numericalmethod.suanshu.stats.timeseries.univariate.TimeSeries.Entry<T> (implements com.numericalmethod.suanshu.stats.timeseries.TimeSeries.Entry<T,V>)
    • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.Realization.Entry
    • com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.TimeSeries.Entry
  • com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization.TriDiagonalization (implements java.io.Serializable)
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.TridiagonalMatrix
  • com.numericalmethod.suanshu.stats.random.multivariate.UniformDistributionOverBox (implements com.numericalmethod.suanshu.stats.random.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.optimization.initialization.UniformDistributionOverBox1 (implements com.numericalmethod.suanshu.optimization.initialization.BuildInitials)
  • com.numericalmethod.suanshu.optimization.initialization.UniformDistributionOverBox2 (implements com.numericalmethod.suanshu.optimization.initialization.BuildInitials)
  • com.numericalmethod.suanshu.stats.random.univariate.uniform.UniformRng (implements com.numericalmethod.suanshu.stats.random.univariate.RandomLongGenerator)
  • com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.UnitGrid (implements com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.TimeGrid)
  • com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.UnivariateRealFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
    • com.numericalmethod.suanshu.analysis.function.special.beta.BetaRegularized
    • com.numericalmethod.suanshu.analysis.function.special.beta.BetaRegularizedInverse
    • com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.ContinuedFraction
    • com.numericalmethod.suanshu.analysis.function.special.gaussian.CumulativeNormalHastings (implements com.numericalmethod.suanshu.analysis.function.special.gaussian.StandardCumulativeNormal)
    • com.numericalmethod.suanshu.analysis.function.special.gaussian.CumulativeNormalInverse
    • com.numericalmethod.suanshu.analysis.function.special.gaussian.CumulativeNormalMarsaglia (implements com.numericalmethod.suanshu.analysis.function.special.gaussian.StandardCumulativeNormal)
    • 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.gamma.Digamma
    • com.numericalmethod.suanshu.analysis.function.special.gaussian.Erf
    • com.numericalmethod.suanshu.analysis.function.special.gaussian.Erfc
    • com.numericalmethod.suanshu.analysis.function.special.gaussian.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.GammaGergoNemes (implements com.numericalmethod.suanshu.analysis.function.special.gamma.Gamma)
    • com.numericalmethod.suanshu.analysis.function.special.gamma.GammaLanczos (implements com.numericalmethod.suanshu.analysis.function.special.gamma.Gamma)
    • com.numericalmethod.suanshu.analysis.function.special.gamma.GammaLanczosQuick (implements com.numericalmethod.suanshu.analysis.function.special.gamma.Gamma)
    • com.numericalmethod.suanshu.analysis.function.special.gaussian.Gaussian
    • com.numericalmethod.suanshu.analysis.interpolation.LinearInterpolator (implements com.numericalmethod.suanshu.analysis.interpolation.OnlineInterpolator)
    • com.numericalmethod.suanshu.analysis.function.special.gamma.LogGamma
    • com.numericalmethod.suanshu.analysis.interpolation.NevilleTable (implements com.numericalmethod.suanshu.analysis.interpolation.OnlineInterpolator)
    • 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.function.polynomial.CauchyPolynomial
      • com.numericalmethod.suanshu.analysis.differentiation.univariate.DPolynomial
      • com.numericalmethod.suanshu.analysis.function.polynomial.QuadraticMonomial
      • com.numericalmethod.suanshu.analysis.function.polynomial.ScaledPolynomial
    • com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.StepFunction (implements com.numericalmethod.suanshu.analysis.function.tuple.OrderedPairs)
    • com.numericalmethod.suanshu.analysis.function.special.gamma.Trigamma
  • com.numericalmethod.suanshu.stats.timeseries.univariate.UnivariateTimeSeriesUtils
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix (implements com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.stats.random.univariate.beta.VanDerWaerden1969 (implements com.numericalmethod.suanshu.stats.random.univariate.beta.RandomBetaGenerator)
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARFitting (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.descriptive.moment.Variance (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECM (implements java.io.Serializable)
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECMLongrun
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECMTransitory
  • com.numericalmethod.suanshu.vector.doubles.dense.VectorMathOperation (implements java.io.Serializable)
  • com.numericalmethod.suanshu.vector.doubles.operation.VectorSpace (implements java.io.Serializable)
  • com.numericalmethod.suanshu.stats.distribution.univariate.WeibullDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.random.univariate.gamma.XiTanLiu2010a (implements com.numericalmethod.suanshu.stats.random.univariate.gamma.RandomGammaGenerator)
  • com.numericalmethod.suanshu.stats.random.univariate.gamma.XiTanLiu2010b (implements com.numericalmethod.suanshu.stats.random.univariate.gamma.RandomGammaGenerator)
  • 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)
  • com.numericalmethod.suanshu.stats.random.univariate.normal.Ziggurat2000 (implements com.numericalmethod.suanshu.stats.random.univariate.normal.RandomStandardNormalNumberGenerator)
  • com.numericalmethod.suanshu.stats.random.univariate.exp.Ziggurat2000Exp (implements com.numericalmethod.suanshu.stats.random.univariate.exp.RandomExpGenerator)
  • com.numericalmethod.suanshu.stats.random.univariate.normal.Zignor2005 (implements com.numericalmethod.suanshu.stats.random.univariate.normal.RandomStandardNormalNumberGenerator)
    • com.numericalmethod.suanshu.stats.random.univariate.normal.StandardNormalRng

Interface Hierarchy

• com.numericalmethod.suanshu.analysis.differentiation.differentiability.C1
  • com.numericalmethod.suanshu.analysis.differentiation.differentiability.C2
    • com.numericalmethod.suanshu.optimization.problem.C2OptimProblem (also extends com.numericalmethod.suanshu.optimization.problem.OptimProblem)
  • com.numericalmethod.suanshu.optimization.problem.C2OptimProblem (also extends com.numericalmethod.suanshu.analysis.differentiation.differentiability.C2, com.numericalmethod.suanshu.optimization.problem.OptimProblem)
• java.lang.Comparable<T>
  • com.numericalmethod.suanshu.optimization.geneticalgorithm.Chromosome (also extends java.io.Serializable)
• com.numericalmethod.suanshu.DeepCopyable
  • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.matrix.doubles.MatrixTable)
    • 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.vector.doubles.Vector (also extends com.numericalmethod.suanshu.mathstructure.HilbertSpace<H,F>)
• java.lang.Iterable<T>
  • com.numericalmethod.suanshu.stats.timeseries.TimeSeries<T,V,E> (also extends java.io.Serializable)
    • 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,E>
      • 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,E>
      • 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.parallel.IterationBody<T>
• com.numericalmethod.suanshu.parallel.LoopBody
• com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation
• com.numericalmethod.suanshu.number.NumberUtils.Comparable<T>
• com.numericalmethod.suanshu.misc.R.ifelse
• com.numericalmethod.suanshu.misc.R.which
• com.numericalmethod.suanshu.stats.stochasticprocess.RandomProcess
• java.io.Serializable
  • 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.MatrixAccess<F>, com.numericalmethod.suanshu.mathstructure.Ring<R>, com.numericalmethod.suanshu.datastructure.Table, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
    • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.matrix.doubles.MatrixTable)
      • 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.MatrixTable)
        • 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.MatrixAccess<F>, com.numericalmethod.suanshu.datastructure.Table, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
      • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.matrix.doubles.MatrixTable)
        • 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.MatrixTable)
          • 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.MatrixAccess<F>, com.numericalmethod.suanshu.mathstructure.Ring<R>, com.numericalmethod.suanshu.datastructure.Table)
      • com.numericalmethod.suanshu.vector.doubles.Vector (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.mathstructure.HilbertSpace<H,F>)
  • com.numericalmethod.suanshu.algorithm.bb.ActiveList
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAFitting
  • com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce.BruteForceIPMinimizer.ConstrainedMinimizerFactory<U>
  • com.numericalmethod.suanshu.optimization.initialization.BuildInitials
  • com.numericalmethod.suanshu.optimization.geneticalgorithm.Chromosome (also extends java.lang.Comparable<T>)
  • com.numericalmethod.suanshu.number.doublearray.CompositeDoubleArrayOperation.ImplementationChooser
  • com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedGenerator.Generator<T>
  • com.numericalmethod.suanshu.optimization.constrained.constraint.Constraints
    • com.numericalmethod.suanshu.optimization.constrained.constraint.EqualityConstraints
    • com.numericalmethod.suanshu.optimization.constrained.constraint.GreaterThanConstraints
    • com.numericalmethod.suanshu.optimization.constrained.constraint.LessThanConstraints
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.Construction
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Construction
  • com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.ContinuedFraction.Partials
  • 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.number.doublearray.DoubleArrayOperation
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.ExponentialDistribution
    • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiFamily
  • com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.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<D,R>
    • com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction
    • com.numericalmethod.suanshu.analysis.function.rn2rm.RealVectorFunction
    • com.numericalmethod.suanshu.analysis.function.matrix.RntoMatrix
  • com.numericalmethod.suanshu.analysis.function.special.gamma.Gamma
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.Hessenberg.DeflationCriterion
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.HMMDistribution
  • com.numericalmethod.suanshu.optimization.constrained.integer.linear.bb.ILPBranchAndBound.ActiveListFactory
  • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.IntegerConstraint
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Integrator
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.IterativeIntegrator
  • com.numericalmethod.suanshu.analysis.interpolation.Interpolation
  • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.InverseIteration.StoppingCriterion
  • com.numericalmethod.suanshu.algorithm.iterative.monitor.IterationMonitor<S>
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver
  • com.numericalmethod.suanshu.algorithm.iterative.IterativeMethod<S>
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver.Solution
    • com.numericalmethod.suanshu.optimization.problem.IterativeMinimizer<S> (also extends com.numericalmethod.suanshu.optimization.problem.MinimizationSolution<T>)
    • com.numericalmethod.suanshu.optimization.unconstrained.MultivariateMaximizer.Solution
  • com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.F
  • com.numericalmethod.suanshu.matrix.doubles.linearsystem.LinearSystemSolver.Solution
  • com.numericalmethod.suanshu.optimization.unconstrained.linesearch.LineSearch.Solution
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction
  • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local.LocalSearchCellFactory.MinimizerFactory<U>
  • com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LUDecomposition
  • com.numericalmethod.suanshu.matrix.generic.MatrixAccess<F>
    • com.numericalmethod.suanshu.matrix.generic.Matrix<T,F> (also extends com.numericalmethod.suanshu.mathstructure.Ring<R>, com.numericalmethod.suanshu.datastructure.Table, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
  • com.numericalmethod.suanshu.optimization.problem.MinimizationSolution<T>
    • com.numericalmethod.suanshu.optimization.problem.IterativeMinimizer<S> (also extends com.numericalmethod.suanshu.algorithm.iterative.IterativeMethod<S>)
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.LPMinimizer
      • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexMinimizer
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexMinimizer
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexSolution
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.LPSolution<T>
      • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexSolution
    • com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer.Solution
  • com.numericalmethod.suanshu.optimization.minmax.MinMaxProblem<T>
  • 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.MatrixAccess<F>, com.numericalmethod.suanshu.mathstructure.Ring<R>, com.numericalmethod.suanshu.datastructure.Table, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
    • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.matrix.doubles.MatrixTable)
      • 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.MatrixTable)
        • 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.MatrixAccess<F>, com.numericalmethod.suanshu.datastructure.Table, com.numericalmethod.suanshu.mathstructure.VectorSpace<V,F>)
      • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.matrix.doubles.MatrixTable)
        • 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.MatrixTable)
          • 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.analysis.interpolation.OnlineInterpolator
  • com.numericalmethod.suanshu.optimization.Optimizer<P,S>
    • com.numericalmethod.suanshu.optimization.constrained.ConstrainedMinimizer<P,S>
      • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
      • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
        • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
    • com.numericalmethod.suanshu.optimization.constrained.integer.IPMinimizer<T,S>
    • com.numericalmethod.suanshu.optimization.unconstrained.linesearch.LineSearch
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
      • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
    • com.numericalmethod.suanshu.optimization.Minimizer<P,S>
      • com.numericalmethod.suanshu.optimization.constrained.ConstrainedMinimizer<P,S>
        • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
        • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
          • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
      • com.numericalmethod.suanshu.optimization.constrained.integer.IPMinimizer<T,S>
      • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
      • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
        • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
      • com.numericalmethod.suanshu.optimization.unconstrained.MultivariateMinimizer<S>
      • com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer
    • com.numericalmethod.suanshu.optimization.minmax.MinMaxMinimizer<T>
    • com.numericalmethod.suanshu.optimization.unconstrained.MultivariateMinimizer<S>
    • com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer
  • com.numericalmethod.suanshu.optimization.problem.OptimProblem
    • com.numericalmethod.suanshu.algorithm.bb.BBNode
    • com.numericalmethod.suanshu.optimization.problem.C2OptimProblem (also extends com.numericalmethod.suanshu.analysis.differentiation.differentiability.C2)
    • com.numericalmethod.suanshu.optimization.constrained.problem.ConstrainedOptimProblem
      • com.numericalmethod.suanshu.algorithm.bb.BBNode
      • com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.constrained.integer.IPProblem, com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
      • com.numericalmethod.suanshu.optimization.constrained.integer.IPProblem
        • com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
      • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.LPProblem
        • com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.constrained.integer.IPProblem)
    • com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.constrained.integer.IPProblem, com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
    • com.numericalmethod.suanshu.optimization.constrained.integer.IPProblem
      • com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.LPProblem
      • com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.constrained.integer.IPProblem)
  • com.numericalmethod.suanshu.analysis.function.tuple.OrderedPairs
  • com.numericalmethod.suanshu.stats.regression.panel.PanelRegression
  • com.numericalmethod.suanshu.stats.pca.PCA
  • com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.PenaltyMethodMinimizer.PenaltyFunctionFactory
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner
  • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.PreconditionerFactory
  • com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution
  • com.numericalmethod.suanshu.stats.distribution.ProbabilityMassFunction<X>
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.QPSolution
  • com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QRDecomposition
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRoot.QuarticSolver
  • com.numericalmethod.suanshu.stats.random.univariate.RandomNumberGenerator
    • com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.LinearCongruentialGenerator
    • com.numericalmethod.suanshu.stats.random.univariate.beta.RandomBetaGenerator
    • com.numericalmethod.suanshu.stats.random.univariate.exp.RandomExpGenerator
    • com.numericalmethod.suanshu.stats.random.univariate.gamma.RandomGammaGenerator
    • com.numericalmethod.suanshu.stats.random.univariate.RandomLongGenerator
      • com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.LinearCongruentialGenerator
    • com.numericalmethod.suanshu.stats.random.univariate.normal.RandomStandardNormalNumberGenerator
  • com.numericalmethod.suanshu.stats.random.multivariate.RandomVectorGenerator
  • com.numericalmethod.suanshu.stats.sampling.resampling.Resampling
  • com.numericalmethod.suanshu.analysis.sequence.Sequence
  • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer.NewCellFactoryCtor
    • com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptim.NewCellFactory
  • com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.SimplexCuttingPlane.CutterFactory
  • com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.SimplexCuttingPlane.CutterFactory.Cutter
  • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SimplexPivoting
  • 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.factorization.eigen.Spectrum
  • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPActiveSetSolver.VariationFactory
  • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetSolverForOnlyEqualityConstraint1.VariationFactory
  • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation
  • com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPASVariation
  • com.numericalmethod.suanshu.analysis.function.special.gaussian.StandardCumulativeNormal
  • com.numericalmethod.suanshu.stats.descriptive.Statistic
  • com.numericalmethod.suanshu.stats.descriptive.StatisticFactory
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule
  • com.numericalmethod.suanshu.analysis.sequence.Summation.Term
  • com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVDDecomposition
  • com.numericalmethod.suanshu.datastructure.Table
    • com.numericalmethod.suanshu.matrix.generic.Matrix<T,F> (also extends com.numericalmethod.suanshu.matrix.generic.MatrixAccess<F>, 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.MatrixRing, com.numericalmethod.suanshu.matrix.doubles.MatrixTable)
      • 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.MatrixAccess
      • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, com.numericalmethod.suanshu.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.matrix.doubles.MatrixTable)
        • 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.MatrixTable (also extends com.numericalmethod.suanshu.datastructure.Table)
        • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, 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.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.MatrixTable (also extends com.numericalmethod.suanshu.matrix.doubles.MatrixAccess)
      • com.numericalmethod.suanshu.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.DeepCopyable, 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.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.stats.stochasticprocess.timepoints.TimeGrid
  • com.numericalmethod.suanshu.stats.timeseries.TimeSeries<T,V,E> (also extends java.lang.Iterable<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.MultiVariateTimeSeries<T,E>
      • 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,E>
      • 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.stats.timeseries.TimeSeries.Entry<T,V>
  • com.numericalmethod.suanshu.algorithm.iterative.tolerance.Tolerance
  • com.numericalmethod.suanshu.analysis.uniroot.Uniroot

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.Dfdx.Method
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.FiniteDifference.Type
    • com.numericalmethod.suanshu.analysis.function.special.gamma.LogGamma.Method
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.NewtonCotes.Type
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.PowerLawSingularity.PowerLawSingularityType
    • com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.MovingAverage.Side
    • com.numericalmethod.suanshu.interval.IntervalRelation
    • com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Eigen.Method
    • com.numericalmethod.suanshu.matrix.doubles.linearsystem.Kernel.Method
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix.BidiagonalMatrixType
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.ConvergenceFailure.Reason
    • com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseEntry.TopLeftFirstComparator (implements java.util.Comparator<T>)
    • com.numericalmethod.suanshu.number.DoubleUtils.RoundingScheme
    • com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.SimplexTable.LabelType
    • com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.FirstOrder.Method
    • com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.Test
    • com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.TrendType
    • com.numericalmethod.suanshu.stats.descriptive.rank.Quantile.QuantileType
    • com.numericalmethod.suanshu.stats.factoranalysis.FactorAnalysis.ScoringRule
    • com.numericalmethod.suanshu.stats.random.univariate.uniform.UniformRng.Method
    • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov.Type
    • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov.Side
    • com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution.Side
    • com.numericalmethod.suanshu.stats.test.distribution.pearson.ChiSquare4Independence.Type
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFAsymptoticDistribution1.Type
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.AugmentedDickeyFuller.TrendType
    • com.numericalmethod.suanshu.stats.test.variance.Levene.Type
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.AutoCovariance.Type
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCH.GRADIENT