Hierarchy For All Packages

Package Hierarchies:

• com.numericalmethod.suanshu.algebra.linear.matrix,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.diagonalization,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.dqds,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3.getvec,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.gaussianelimination,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.qr,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.mr3,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.diagonal,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.triangle,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.stationary,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householder,
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.positivedefinite,
• com.numericalmethod.suanshu.algebra.linear.matrix.generic,
• com.numericalmethod.suanshu.algebra.linear.matrix.generic.matrixtype,
• com.numericalmethod.suanshu.algebra.linear.vector,
• com.numericalmethod.suanshu.algebra.linear.vector.doubles,
• com.numericalmethod.suanshu.algebra.linear.vector.doubles.dense,
• com.numericalmethod.suanshu.algebra.linear.vector.doubles.operation,
• com.numericalmethod.suanshu.algebra.structure,
• com.numericalmethod.suanshu.analysis.curvefit,
• com.numericalmethod.suanshu.analysis.curvefit.interpolation,
• com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate,
• com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate,
• com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate,
• com.numericalmethod.suanshu.analysis.differentialequation,
• com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.problem,
• com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver,
• com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.extrapolation,
• com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton,
• com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta,
• com.numericalmethod.suanshu.analysis.differentialequation.pde,
• com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference,
• com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.elliptic.dim2,
• com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.hyperbolic.dim1,
• com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.hyperbolic.dim2,
• com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.parabolic.dim1.convectiondiffusionequation,
• com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.parabolic.dim1.heatequation,
• com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.parabolic.dim2,
• 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,
• 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.gaussian,
• com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule,
• com.numericalmethod.suanshu.analysis.integration.univariate.riemann.newtoncotes,
• com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution,
• com.numericalmethod.suanshu.analysis.root.multivariate,
• com.numericalmethod.suanshu.analysis.root.univariate,
• com.numericalmethod.suanshu.analysis.sequence,
• com.numericalmethod.suanshu.combinatorics,
• com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles,
• com.numericalmethod.suanshu.finance.trading.infantino2010,
• com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration,
• com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.check,
• com.numericalmethod.suanshu.finance.trading.meanreversion.daspremont2008,
• com.numericalmethod.suanshu.finance.trading.meanreversion.elliott2005,
• com.numericalmethod.suanshu.finance.trading.meanreversion.hvolatility,
• com.numericalmethod.suanshu.finance.trading.meanreversion.volarb,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.constraint,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.diversification,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.maximizer,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb.resampler,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.fit,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.optimizer,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.nmsaam,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.socp.constraints,
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.socp.constraints.ybar,
• com.numericalmethod.suanshu.finance.trading.returns,
• com.numericalmethod.suanshu.finance.trading.returns.moments,
• com.numericalmethod.suanshu.finance.trading.trend.dai2011,
• com.numericalmethod.suanshu.finance.trading.trend.kst1995,
• com.numericalmethod.suanshu.geometry,
• com.numericalmethod.suanshu.geometry.polyline,
• com.numericalmethod.suanshu.graph,
• com.numericalmethod.suanshu.graph.algorithm.shortestpath,
• com.numericalmethod.suanshu.graph.algorithm.traversal,
• com.numericalmethod.suanshu.graph.community,
• com.numericalmethod.suanshu.graph.type,
• com.numericalmethod.suanshu.interval,
• com.numericalmethod.suanshu.misc,
• com.numericalmethod.suanshu.misc.algorithm,
• com.numericalmethod.suanshu.misc.algorithm.bb,
• com.numericalmethod.suanshu.misc.algorithm.iterative,
• com.numericalmethod.suanshu.misc.algorithm.iterative.monitor,
• com.numericalmethod.suanshu.misc.algorithm.iterative.tolerance,
• com.numericalmethod.suanshu.misc.algorithm.stopcondition,
• com.numericalmethod.suanshu.misc.datastructure,
• com.numericalmethod.suanshu.misc.datastructure.time,
• com.numericalmethod.suanshu.misc.license,
• com.numericalmethod.suanshu.misc.parallel,
• 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.multivariate.constrained,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.general,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.linear,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.pathfollowing,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.problem,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.interiorpoint,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.exception,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.pivoting,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.problem,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.activeset,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.socp,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.general.box,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.equalityconstraint,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.integer,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.bruteforce,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.bb,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.cuttingplane,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.problem,
• com.numericalmethod.suanshu.optimization.multivariate.constrained.problem,
• com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm,
• com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim,
• com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.constrained,
• com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.local,
• com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid,
• com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.firstgeneration,
• com.numericalmethod.suanshu.optimization.multivariate.initialization,
• com.numericalmethod.suanshu.optimization.multivariate.minmax,
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained,
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing,
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.acceptanceprobabilityfunction,
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.annealingfunction,
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.temperaturefunction,
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2,
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.conjugatedirection,
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.linesearch,
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton,
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescent,
• com.numericalmethod.suanshu.optimization.problem,
• com.numericalmethod.suanshu.optimization.univariate,
• com.numericalmethod.suanshu.optimization.univariate.bracketsearch,
• com.numericalmethod.suanshu.stats.cointegration,
• com.numericalmethod.suanshu.stats.covariance.covarianceselection,
• com.numericalmethod.suanshu.stats.covariance.covarianceselection.lasso,
• com.numericalmethod.suanshu.stats.covariance.nlshrink,
• com.numericalmethod.suanshu.stats.covariance.nlshrink.quest,
• com.numericalmethod.suanshu.stats.descriptive,
• com.numericalmethod.suanshu.stats.descriptive.correlation,
• com.numericalmethod.suanshu.stats.descriptive.covariance,
• com.numericalmethod.suanshu.stats.descriptive.moment,
• com.numericalmethod.suanshu.stats.descriptive.moment.weighted,
• com.numericalmethod.suanshu.stats.descriptive.rank,
• com.numericalmethod.suanshu.stats.distribution.discrete,
• com.numericalmethod.suanshu.stats.distribution.multivariate,
• com.numericalmethod.suanshu.stats.distribution.multivariate.exponentialfamily,
• com.numericalmethod.suanshu.stats.distribution.univariate,
• com.numericalmethod.suanshu.stats.distribution.univariate.exponentialfamily,
• com.numericalmethod.suanshu.stats.dlm.multivariate,
• com.numericalmethod.suanshu.stats.dlm.univariate,
• com.numericalmethod.suanshu.stats.evt.cluster,
• com.numericalmethod.suanshu.stats.evt.evd.bivariate,
• com.numericalmethod.suanshu.stats.evt.evd.univariate,
• com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting,
• com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer,
• com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.empirical,
• com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.pot,
• com.numericalmethod.suanshu.stats.evt.evd.univariate.rng,
• com.numericalmethod.suanshu.stats.evt.exi,
• com.numericalmethod.suanshu.stats.evt.function,
• com.numericalmethod.suanshu.stats.evt.markovchain,
• com.numericalmethod.suanshu.stats.evt.timeseries,
• com.numericalmethod.suanshu.stats.factor.factoranalysis,
• com.numericalmethod.suanshu.stats.factor.implicitmodelpca,
• com.numericalmethod.suanshu.stats.factor.pca,
• com.numericalmethod.suanshu.stats.hmm,
• com.numericalmethod.suanshu.stats.hmm.discrete,
• com.numericalmethod.suanshu.stats.hmm.mixture,
• com.numericalmethod.suanshu.stats.hmm.mixture.distribution,
• com.numericalmethod.suanshu.stats.markovchain,
• com.numericalmethod.suanshu.stats.random,
• com.numericalmethod.suanshu.stats.random.rng,
• com.numericalmethod.suanshu.stats.random.rng.concurrent.cache,
• com.numericalmethod.suanshu.stats.random.rng.concurrent.context,
• com.numericalmethod.suanshu.stats.random.rng.multivariate,
• com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid,
• com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis,
• com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.proposalfunction,
• com.numericalmethod.suanshu.stats.random.rng.univariate,
• com.numericalmethod.suanshu.stats.random.rng.univariate.beta,
• com.numericalmethod.suanshu.stats.random.rng.univariate.exp,
• com.numericalmethod.suanshu.stats.random.rng.univariate.gamma,
• com.numericalmethod.suanshu.stats.random.rng.univariate.normal,
• com.numericalmethod.suanshu.stats.random.rng.univariate.normal.truncated,
• com.numericalmethod.suanshu.stats.random.rng.univariate.poisson,
• com.numericalmethod.suanshu.stats.random.rng.univariate.uniform,
• com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear,
• com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.mersennetwister,
• com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.mersennetwister.dynamiccreation,
• com.numericalmethod.suanshu.stats.random.sampler.resampler,
• com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap,
• com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block,
• com.numericalmethod.suanshu.stats.random.sampler.resampler.multivariate,
• com.numericalmethod.suanshu.stats.random.variancereduction,
• com.numericalmethod.suanshu.stats.regression,
• 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.modelselection,
• com.numericalmethod.suanshu.stats.regression.linear.glm.quasi,
• com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family,
• com.numericalmethod.suanshu.stats.regression.linear.lasso,
• com.numericalmethod.suanshu.stats.regression.linear.lasso.lars,
• com.numericalmethod.suanshu.stats.regression.linear.logistic,
• com.numericalmethod.suanshu.stats.regression.linear.ols,
• com.numericalmethod.suanshu.stats.regression.linear.panel,
• com.numericalmethod.suanshu.stats.regression.linear.residualanalysis,
• com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.random,
• com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde,
• com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients,
• com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.discrete,
• com.numericalmethod.suanshu.stats.stochasticprocess.timegrid,
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.filtration,
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration,
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.random,
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde,
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.coefficients,
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.discrete,
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process,
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process.ou,
• com.numericalmethod.suanshu.stats.test,
• com.numericalmethod.suanshu.stats.test.distribution,
• com.numericalmethod.suanshu.stats.test.distribution.kolmogorov,
• com.numericalmethod.suanshu.stats.test.distribution.normality,
• com.numericalmethod.suanshu.stats.test.distribution.pearson,
• com.numericalmethod.suanshu.stats.test.mean,
• com.numericalmethod.suanshu.stats.test.rank,
• com.numericalmethod.suanshu.stats.test.rank.wilcoxon,
• com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity,
• com.numericalmethod.suanshu.stats.test.timeseries.adf,
• com.numericalmethod.suanshu.stats.test.timeseries.adf.table,
• com.numericalmethod.suanshu.stats.test.timeseries.portmanteau,
• com.numericalmethod.suanshu.stats.test.variance,
• com.numericalmethod.suanshu.stats.timeseries.datastructure,
• com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate,
• com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime,
• com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.inttime,
• com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate,
• com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime,
• com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.inttime,
• 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.armagarch,
• com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch

Class Hierarchy

• java.lang.Object
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector1 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector2 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector3 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector4 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector5 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector)
  • com.numericalmethod.suanshu.misc.algorithm.iterative.tolerance.AbsoluteTolerance (implements com.numericalmethod.suanshu.misc.algorithm.iterative.tolerance.Tolerance)
  • com.numericalmethod.suanshu.stats.distribution.multivariate.AbstractBivariateProbabilityDistribution (implements com.numericalmethod.suanshu.stats.distribution.multivariate.BivariateProbabilityDistribution)
    • com.numericalmethod.suanshu.stats.evt.evd.bivariate.AbstractBivariateEVD (implements com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVD)
      • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVDAsymmetricLogistic
      • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVDAsymmetricMixed
      • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVDAsymmetricNegativeLogistic
      • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVDBilogistic
      • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVDColesTawn
      • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVDHuslerReiss
      • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVDLogistic
      • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVDNegativeBilogistic
      • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVDNegativeLogistic
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis.AbstractMetropolis (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
    • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid.AbstractHybridMCMC
      • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid.HybridMCMC
      • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid.MultipointHybridMCMC
    • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis.Metropolis
    • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis.MetropolisHastings
    • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis.RobustAdaptiveMetropolis
  • com.numericalmethod.suanshu.analysis.function.rn2r1.AbstractRealScalarFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
    • com.numericalmethod.suanshu.analysis.function.rn2r1.AbstractBivariateRealFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.BivariateRealFunction)
      • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.AutoCorrelationFunction
        • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.AutoCorrelation
        • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.SampleAutoCorrelation
        • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.SamplePartialAutoCorrelation
      • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.AutoCovarianceFunction
        • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.AutoCovariance
        • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.SampleAutoCovariance
      • 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.analysis.function.rn2r1.AbstractTrivariateRealFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.TrivariateRealFunction)
    • com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.AbstractUnivariateRealFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.UnivariateRealFunction)
      • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.ACERFunction
      • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.ACERInverseFunction
      • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.ACERLogFunction
      • com.numericalmethod.suanshu.analysis.function.special.beta.BetaRegularized
      • com.numericalmethod.suanshu.analysis.function.special.beta.BetaRegularizedInverse
      • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.Ceta
      • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.maximizer.CetaMaximizer.NegCetaFunction
      • 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.filtration.FiltrationFunction
        • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.filtration.Bt
        • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.filtration.F_Sum_BtDt
        • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.filtration.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.curvefit.interpolation.LinearInterpolator (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.OnlineInterpolator)
      • com.numericalmethod.suanshu.analysis.function.special.gamma.LogGamma
      • com.numericalmethod.suanshu.analysis.curvefit.interpolation.NevilleTable (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.OnlineInterpolator)
      • com.numericalmethod.suanshu.analysis.function.polynomial.Polynomial (implements com.numericalmethod.suanshu.algebra.structure.Ring<R>, com.numericalmethod.suanshu.algebra.structure.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.stats.evt.function.ReturnLevel
        • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.ACERReturnLevel
      • com.numericalmethod.suanshu.stats.evt.function.ReturnPeriod
      • 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.analysis.function.special.beta.MultinomialBetaFunction
    • com.numericalmethod.suanshu.analysis.differentiation.multivariate.MultivariateFiniteDifference
    • com.numericalmethod.suanshu.analysis.function.rn2r1.QuadraticFunction
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.problem.QPProblemOnlyEqualityConstraints
    • com.numericalmethod.suanshu.analysis.function.rn2r1.R1Projection
    • com.numericalmethod.suanshu.analysis.function.special.Rastrigin
    • com.numericalmethod.suanshu.analysis.differentiation.Ridders
  • com.numericalmethod.suanshu.analysis.function.rn2rm.AbstractRealVectorFunction (implements com.numericalmethod.suanshu.analysis.function.rn2rm.RealVectorFunction)
    • com.numericalmethod.suanshu.analysis.function.rn2rm.AbstractR1RnFunction
    • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.proposalfunction.ProposalFunction
      • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.proposalfunction.GaussianProposalFunction
        • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.proposalfunction.HybridMCMCProposalFunction
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.ACERAnalysis
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.ACERAnalysis.Result
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.empirical.ACERByCounting
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.ACERConfidenceInterval
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.ACERFunction.ACERParameter
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.empirical.ACERUtils
  • com.numericalmethod.suanshu.misc.algorithm.ActiveSet
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.AdamsBashforthMoulton (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.ODESolver)
  • com.numericalmethod.suanshu.stats.test.timeseries.adf.table.ADFDistributionTable
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.table.ADFDistributionTable_CONSTANT_lag0
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.table.ADFDistributionTable_CONSTANT_TIME_lag0
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.table.ADFDistributionTable_NO_CONSTANT_lag0
  • com.numericalmethod.suanshu.misc.algorithm.stopcondition.AfterIterations (implements com.numericalmethod.suanshu.misc.algorithm.stopcondition.StopCondition)
  • com.numericalmethod.suanshu.misc.algorithm.stopcondition.AfterNoImprovement (implements com.numericalmethod.suanshu.misc.algorithm.stopcondition.StopCondition)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.daspremont2008.AhatEstimation
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.parabolic.dim2.AlternatingDirectionImplicitMethod (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDESolver)
  • com.numericalmethod.suanshu.stats.test.distribution.AndersonDarlingPValue
  • com.numericalmethod.suanshu.misc.algorithm.stopcondition.AndStopConditions (implements com.numericalmethod.suanshu.misc.algorithm.stopcondition.StopCondition)
  • com.numericalmethod.suanshu.stats.random.variancereduction.AntitheticVariates (implements com.numericalmethod.suanshu.stats.random.MeanEstimator)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.interiorpoint.AntoniouLu2007
  • com.numericalmethod.suanshu.misc.ArgumentAssertion
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMAForecast
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMAForecast.Forecast
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMAForecastMultiStep
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMASim (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMAXModel
    • 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.LinearRepresentation
        • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.MAModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAXModel
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAForecast
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAForecastMultiStep
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAForecastOneStep
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.armagarch.ARMAGARCHFit
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.armagarch.ARMAGARCHModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.armagarch.AR1GARCH11Model
  • com.numericalmethod.suanshu.misc.ArrayUtils
  • com.numericalmethod.suanshu.stats.test.distribution.pearson.AS159 (implements com.numericalmethod.suanshu.stats.random.Seedable)
  • com.numericalmethod.suanshu.stats.test.distribution.pearson.AS159.RandomMatrix
  • com.numericalmethod.suanshu.misc.algorithm.stopcondition.AtThreshold (implements com.numericalmethod.suanshu.misc.algorithm.stopcondition.StopCondition)
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.AutoARIMAFit
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.AutoParallelMatrixMathOperation (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.BackwardSubstitution
  • com.numericalmethod.suanshu.stats.random.rng.univariate.BernoulliTrial (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.distribution.univariate.BetaDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BetaMixtureDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.MixtureDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BetaMixtureDistribution.Lambda
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientStabilizedSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BicubicInterpolation (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BivariateGridInterpolation)
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BicubicSpline (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BivariateGridInterpolation)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.diagonalization.BiDiagonalizationByGolubKahanLanczos (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.diagonalization.BiDiagonalization)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.diagonalization.BiDiagonalizationByHouseholder (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.diagonalization.BiDiagonalization)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.mr3.BidiagonalSVDbyMR3 (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition)
  • com.numericalmethod.suanshu.number.big.BigDecimalUtils
  • com.numericalmethod.suanshu.number.big.BigIntegerUtils
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BilinearInterpolation (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BivariateGridInterpolation)
  • com.numericalmethod.suanshu.stats.distribution.univariate.BinomialDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BinomialMixtureDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.MixtureDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BinomialMixtureDistribution.Lambda
  • com.numericalmethod.suanshu.stats.random.rng.univariate.BinomialRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.misc.algorithm.Bins<T>
  • com.numericalmethod.suanshu.analysis.root.univariate.BisectionRoot (implements com.numericalmethod.suanshu.analysis.root.univariate.Uniroot)
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BivariateArrayGrid (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BivariateGrid)
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BivariateRegularGrid (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BivariateGrid)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3.BlockSplitPointSearch
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.BlockWinogradAlgorithm (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplicationByBlock.BlockAlgorithm)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.discrete.BMSDE (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.discrete.DiscreteSDE)
  • com.numericalmethod.suanshu.stats.random.sampler.resampler.BootstrapEstimator
  • com.numericalmethod.suanshu.graph.algorithm.traversal.BottomUp<V> (implements com.numericalmethod.suanshu.graph.algorithm.traversal.GraphTraversal<V>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.linear.BoxConstraints
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.linear.BoxConstraints.Bound (implements java.lang.Comparable<T>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.box.BoxGeneralizedSimulatedAnnealingMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.BoxMinimizer<P,S>)
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.BoxGSAAcceptanceProbabilityFunction (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.TemperedAcceptanceProbabilityFunction)
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.annealingfunction.BoxGSAAnnealingFunction (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.annealingfunction.AnnealingFunction)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.normal.BoxMuller (implements com.numericalmethod.suanshu.stats.random.rng.univariate.normal.RandomStandardNormalGenerator)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.problem.BoxOptimProblem (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.problem.ConstrainedOptimProblem)
  • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.BracketSearchMinimizer (implements com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer)
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.BrentMinimizer
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.FibonaccMinimizer
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.GoldenMinimizer
  • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.BracketSearchMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer.Solution)
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.BrentMinimizer.Solution
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.FibonaccMinimizer.Solution
    • com.numericalmethod.suanshu.optimization.univariate.bracketsearch.GoldenMinimizer.Solution
  • com.numericalmethod.suanshu.misc.algorithm.bb.BranchAndBound (implements com.numericalmethod.suanshu.misc.algorithm.iterative.IterativeMethod<S>, com.numericalmethod.suanshu.optimization.MinimizationSolution<T>)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.maximizer.BrentCetaMaximizer (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.maximizer.CetaMaximizer)
  • com.numericalmethod.suanshu.analysis.root.univariate.BrentRoot (implements com.numericalmethod.suanshu.analysis.root.univariate.Uniroot)
  • com.numericalmethod.suanshu.misc.algorithm.BruteForce<D,R>
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.bruteforce.BruteForceIPMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPMinimizer<T,S>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.bruteforce.BruteForceIPMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.MinimizationSolution<T>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.bruteforce.BruteForceIPProblem.IntegerDomain
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.BruteForceMinimizer<R> (implements com.numericalmethod.suanshu.optimization.Optimizer<P,S>)
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.BruteForceMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.MinimizationSolution<T>)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.extrapolation.BurlischStoerExtrapolation (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.ODESolver)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.BurnInRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.BurnInRVG (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.optimization.problem.C2OptimProblemImpl (implements com.numericalmethod.suanshu.optimization.problem.C2OptimProblem)
  • com.numericalmethod.suanshu.misc.algorithm.CartesianProduct<T> (implements java.lang.Iterable<T>)
  • com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.CaseResamplingReplacement (implements com.numericalmethod.suanshu.stats.random.sampler.resampler.Resampler)
  • com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.CaseResamplingReplacementForObject<X> (implements com.numericalmethod.suanshu.stats.random.sampler.resampler.ObjectResampler<X>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.pathfollowing.CentralPath
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.Ceta.PortfolioMoments
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.maximizer.CetaMaximizer.Solution
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.ChangeOfVariable (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Integrator)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.CharacteristicPolynomial (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.ChebyshevRule (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.GaussianQuadratureRule)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.beta.Cheng1978 (implements com.numericalmethod.suanshu.stats.random.rng.univariate.beta.RandomBetaGenerator)
  • com.numericalmethod.suanshu.stats.distribution.univariate.ChiSquareDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Chol (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky.CholeskyBanachiewicz (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky.CholeskyBanachiewiczParallelized (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky.CholeskySparse (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky.CholeskyWang2006 (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky)
  • com.numericalmethod.suanshu.stats.evt.cluster.ClusterAnalyzer
  • com.numericalmethod.suanshu.stats.evt.cluster.Clusters
  • com.numericalmethod.suanshu.stats.evt.cluster.Clusters.Cluster
  • com.numericalmethod.suanshu.stats.cointegration.CointegrationMLE
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.ColumnBindMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.maximizer.CombinedCetaMaximizer (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.maximizer.CetaMaximizer)
  • com.numericalmethod.suanshu.algebra.linear.vector.doubles.CombinedVectorByRef
  • com.numericalmethod.suanshu.stats.random.variancereduction.CommonRandomNumbers (implements com.numericalmethod.suanshu.stats.random.MeanEstimator)
  • com.numericalmethod.suanshu.algebra.linear.matrix.generic.matrixtype.ComplexMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrix<T,F>)
  • com.numericalmethod.suanshu.number.doublearray.CompositeDoubleArrayOperation (implements com.numericalmethod.suanshu.number.doublearray.DoubleArrayOperation)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.CompositeLinearCongruentialGenerator (implements com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.concurrent.cache.ConcurrentCachedGenerator<T> (implements com.numericalmethod.suanshu.stats.random.Seedable)
  • com.numericalmethod.suanshu.stats.random.rng.concurrent.cache.ConcurrentCachedRLG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomLongGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.concurrent.cache.ConcurrentCachedRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.concurrent.cache.ConcurrentCachedRVG (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.normal.ConcurrentStandardNormalRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.normal.RandomStandardNormalGenerator)
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ConditionalSumOfSquares (implements com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAFit)
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.ConfidenceInterval
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalErrorSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalResidualSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSquaredSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantDriftVector (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.DriftVector)
  • com.numericalmethod.suanshu.misc.Constants
  • com.numericalmethod.suanshu.stats.random.rng.ConstantSeeder<T> (implements java.lang.Iterable<T>)
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantSigma1 (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.DiffusionMatrix)
  • com.numericalmethod.suanshu.stats.regression.linear.lasso.ConstrainedLASSObyLARS (implements com.numericalmethod.suanshu.stats.regression.linear.LinearModel)
  • com.numericalmethod.suanshu.stats.regression.linear.lasso.ConstrainedLASSObyQP (implements com.numericalmethod.suanshu.stats.regression.linear.LinearModel)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.problem.ConstrainedOptimProblemImpl1 (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.problem.ConstrainedOptimProblem)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.problem.SDPDualProblem
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.ConstraintsUtils
  • com.numericalmethod.suanshu.stats.random.rng.concurrent.context.ContextRNG<T> (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
    • com.numericalmethod.suanshu.stats.random.rng.concurrent.context.ThreadIDRNG
      • com.numericalmethod.suanshu.stats.random.rng.concurrent.context.ThreadIDRLG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomLongGenerator)
  • com.numericalmethod.suanshu.stats.random.variancereduction.ControlVariates (implements com.numericalmethod.suanshu.stats.random.MeanEstimator)
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.parabolic.dim1.convectiondiffusionequation.ConvectionDiffusionEquation1D (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDE)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.check.CorrelationCheck (implements com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.check.PairingCheck)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.Corvalan2005
  • com.numericalmethod.suanshu.combinatorics.Counter
  • com.numericalmethod.suanshu.misc.algorithm.iterative.monitor.CountMonitor<S> (implements com.numericalmethod.suanshu.misc.algorithm.iterative.monitor.IterationMonitor<S>)
  • com.numericalmethod.suanshu.stats.descriptive.covariance.Covariance (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.daspremont2008.CovarianceEstimation
  • com.numericalmethod.suanshu.stats.covariance.covarianceselection.lasso.CovarianceSelectionGLASSOFAST (implements com.numericalmethod.suanshu.stats.covariance.covarianceselection.CovarianceSelectionSolver)
  • com.numericalmethod.suanshu.stats.covariance.covarianceselection.lasso.CovarianceSelectionLASSO (implements com.numericalmethod.suanshu.stats.covariance.covarianceselection.CovarianceSelectionSolver)
  • com.numericalmethod.suanshu.stats.covariance.covarianceselection.CovarianceSelectionProblem
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.parabolic.dim1.convectiondiffusionequation.CrankNicolsonConvectionDiffusionEquation1D (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDESolver)
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.parabolic.dim1.convectiondiffusionequation.CrankNicolsonConvectionDiffusionEquation1D.Coefficients
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.parabolic.dim1.heatequation.CrankNicolsonHeatEquation1D (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDESolver)
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.parabolic.dim1.heatequation.CrankNicolsonHeatEquation1D.Coefficients
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.pathfollowing.CSDPMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedMinimizer<P,S>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.pathfollowing.CSDPMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.IterativeSolution<S>)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.CSRSparseMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix)
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.CubicHermite (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.Interpolation)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.CubicRoot (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver)
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.CubicSpline (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.Interpolation)
  • com.numericalmethod.suanshu.finance.trading.trend.dai2011.Dai2011HMM
  • com.numericalmethod.suanshu.finance.trading.trend.dai2011.Dai2011HMM.ModelParam
    • com.numericalmethod.suanshu.finance.trading.trend.dai2011.Dai2011HMM.CalibrationParam
  • com.numericalmethod.suanshu.finance.trading.trend.dai2011.Dai2011Solver
  • com.numericalmethod.suanshu.finance.trading.trend.dai2011.Dai2011Solver.Boundaries
  • com.numericalmethod.suanshu.finance.trading.trend.dai2011.Dai2011Solver.Builder
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.DateTimeGenericTimeSeries<V> (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.TimeSeries<T,V,E>)
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.DateTimeGenericTimeSeries.Entry<V> (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.TimeSeries.Entry<T,V>)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.DefaultDeflationCriterion (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.DeflationCriterion)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.DefaultMatrixStorage (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixAccess)
  • com.numericalmethod.suanshu.optimization.multivariate.initialization.DefaultSimplex (implements com.numericalmethod.suanshu.optimization.multivariate.initialization.InitialsFactory)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.Deflation
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.DenseData (implements com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixAccess)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.DenseMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.CongruentMatrix
    • com.numericalmethod.suanshu.stats.descriptive.correlation.CorrelationMatrix
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.positivedefinite.GoldfeldQuandtTrotter
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.Inverse
    • com.numericalmethod.suanshu.analysis.differentiation.multivariate.Jacobian
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.KroneckerProduct
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.MAT
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.MatrixRootByDiagonalization
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.positivedefinite.MatthewsDavies
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.OuterProduct
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.positivedefinite.PositiveDefiniteMatrixByPositiveDiagonal
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.positivedefinite.PositiveSemiDefiniteMatrixNonNegativeDiagonal
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.Pow
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.PseudoInverse
    • com.numericalmethod.suanshu.finance.trading.returns.ReturnsMatrix
    • com.numericalmethod.suanshu.stats.descriptive.covariance.SampleCovariance
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.SimilarMatrix
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.SymmetricKronecker
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplicationByBlock (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplication)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplicationByIjk (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplication)
  • com.numericalmethod.suanshu.algebra.linear.vector.doubles.dense.DenseVector (implements com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector)
    • com.numericalmethod.suanshu.analysis.differentiation.multivariate.Gradient
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.SVEC
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.diagonal.DiagonalMatrix
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.DiagonalSum (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.inttime.DifferencedIntTimeTimeSeries (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.inttime.IntTimeTimeSeries)
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.DiffusionSigma (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.DiffusionMatrix)
    • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantSigma2
  • com.numericalmethod.suanshu.graph.algorithm.shortestpath.Dijkstra<V> (implements com.numericalmethod.suanshu.graph.algorithm.shortestpath.ShortestPath<V>)
  • com.numericalmethod.suanshu.misc.datastructure.DimensionCheck
  • com.numericalmethod.suanshu.stats.distribution.multivariate.DirichletDistribution (implements com.numericalmethod.suanshu.stats.distribution.multivariate.MultivariateProbabilityDistribution)
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.DividedDifferences
  • com.numericalmethod.suanshu.stats.dlm.univariate.DLM
    • com.numericalmethod.suanshu.finance.trading.meanreversion.elliott2005.Elliott2005DLM
      • com.numericalmethod.suanshu.finance.trading.meanreversion.elliott2005.ElliottOnlineFilter
  • com.numericalmethod.suanshu.stats.dlm.univariate.DLMSeries (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.TimeSeries<T,V,E>)
  • com.numericalmethod.suanshu.stats.dlm.univariate.DLMSeries.Entry (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.TimeSeries.Entry<T,V>)
  • com.numericalmethod.suanshu.stats.dlm.univariate.DLMSim
  • com.numericalmethod.suanshu.stats.dlm.univariate.DLMSim.Innovation
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.DOKSparseMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.Doolittle (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.LUDecomposition)
  • com.numericalmethod.suanshu.number.doublearray.DoubleArrayMath
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.DoubleBruteForceMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.MultivariateMinimizer<P,S>)
  • 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.algebra.linear.matrix.doubles.factorization.eigen.dqds.DQDS
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.mersennetwister.dynamiccreation.DynamicCreator (implements java.lang.Iterable<T>)
  • com.numericalmethod.suanshu.graph.community.EdgeBetweeness<V>
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.Eigen (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3.EigenBoundUtils
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3.EigenCount
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3.EigenCountInRange
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.EigenDecomposition
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.EigenProperty
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.dqds.EigenvalueByDQDS
  • com.numericalmethod.suanshu.number.complex.ElementaryFunction
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.ElementaryOperation (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.EliminationByAIC (implements com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.BackwardElimination.Step)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.EliminationByZValue (implements com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.BackwardElimination.Step)
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.empirical.EmpiricalACER
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.empirical.EmpiricalACEREstimation
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.empirical.EmpiricalACERStatistics
  • 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.evt.evd.univariate.fitting.acer.empirical.EpsilonStatisticsCalculator
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid.ErgodicHybridMCMC (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.EstimateByLogLikelihood
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.discrete.EulerSDE (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.discrete.DiscreteSDE)
  • com.numericalmethod.suanshu.stats.stochasticprocess.timegrid.EvenlySpacedGrid (implements com.numericalmethod.suanshu.stats.stochasticprocess.timegrid.TimeGrid)
  • com.numericalmethod.suanshu.misc.ExceptionUtils
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.random.ExpectationAtEndTime
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.hyperbolic.dim1.ExplicitCentralDifference1D (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDESolver)
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.hyperbolic.dim2.ExplicitCentralDifference2D (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDESolver)
  • com.numericalmethod.suanshu.stats.factor.implicitmodelpca.ExplicitImplicitModelPCA
    • com.numericalmethod.suanshu.stats.factor.implicitmodelpca.AverageImplicitModelPCA
  • com.numericalmethod.suanshu.stats.factor.implicitmodelpca.ExplicitImplicitModelPCA.Result
  • 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.distribution.univariate.exponentialfamily.ExponentialFamily
    • com.numericalmethod.suanshu.stats.distribution.univariate.exponentialfamily.NormalOfExpFamily1
    • com.numericalmethod.suanshu.stats.distribution.univariate.exponentialfamily.NormalOfExpFamily2
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.ExponentialMixtureDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.MixtureDistribution)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.daspremont2008.ExtremalGeneralizedEigenvalueByGreedySearch (implements com.numericalmethod.suanshu.finance.trading.meanreversion.daspremont2008.ExtremalGeneralizedEigenvalueSolver)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.daspremont2008.ExtremalGeneralizedEigenvalueBySDP (implements com.numericalmethod.suanshu.finance.trading.meanreversion.daspremont2008.ExtremalGeneralizedEigenvalueSolver)
  • com.numericalmethod.suanshu.stats.evt.exi.ExtremalIndexByClusterSizeReciprocal (implements com.numericalmethod.suanshu.stats.evt.exi.ExtremalIndexEstimation)
  • com.numericalmethod.suanshu.stats.evt.exi.ExtremalIndexByFerroSeegers (implements com.numericalmethod.suanshu.stats.evt.exi.ExtremalIndexEstimation)
  • com.numericalmethod.suanshu.stats.evt.markovchain.ExtremeValueMC (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.factor.factoranalysis.FactorAnalysis
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.FastKroneckerProduct (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.stats.distribution.univariate.FDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.FerrisMangasarianWrightPhase1
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.FerrisMangasarianWrightPhase2 (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPCanonicalSolver
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.FerrisMangasarianWrightScheme2
  • com.numericalmethod.suanshu.analysis.sequence.Fibonacci (implements com.numericalmethod.suanshu.analysis.sequence.Sequence)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.filtration.Filtration
  • com.numericalmethod.suanshu.stats.regression.linear.panel.FixedEffectsModel (implements com.numericalmethod.suanshu.stats.regression.linear.panel.PanelRegression)
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.linesearch.FletcherLineSearch (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.linesearch.LineSearch)
  • com.numericalmethod.suanshu.misc.datastructure.FlexibleTable (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.SimplexTable (implements com.numericalmethod.suanshu.optimization.MinimizationSolution<T>)
  • com.numericalmethod.suanshu.misc.license.FloatingLicenseServer
  • com.numericalmethod.suanshu.stats.hmm.ForwardBackwardProcedure
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.ForwardSubstitution
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Ft (implements com.numericalmethod.suanshu.misc.DeepCopyable)
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.FtWt
  • com.numericalmethod.suanshu.analysis.function.FunctionOps
  • com.numericalmethod.suanshu.stats.distribution.univariate.GammaDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.GammaMixtureDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.MixtureDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.GammaMixtureDistribution.Lambda
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCHFit
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCHModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCH11Model
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb.resampler.GARCHResamplerFactory2 (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb.resampler.ReturnsResamplerFactory)
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCHSim (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.gaussianelimination.GaussianElimination
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.gaussianelimination.GaussianElimination4SquareMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.LUDecomposition)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.GaussianQuadrature (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Integrator)
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.GaussChebyshevQuadrature
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.GaussHermiteQuadrature
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.GaussLaguerreQuadrature
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.GaussLegendreQuadrature
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.gaussianelimination.GaussJordanElimination
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescent.GaussNewtonMinimizer
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.GaussSeidelSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.general.GeneralConstraints (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.Constraints)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.general.GeneralEqualityConstraints (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.EqualityConstraints)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.general.GeneralGreaterThanConstraints (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.GreaterThanConstraints)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.general.GeneralLessThanConstraints (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.LessThanConstraints)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedConjugateResidualSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.GeneralizedEVD (implements com.numericalmethod.suanshu.stats.evt.evd.univariate.UnivariateEVD)
    • com.numericalmethod.suanshu.stats.evt.evd.univariate.FrechetDistribution
    • com.numericalmethod.suanshu.stats.evt.evd.univariate.GumbelDistribution
    • com.numericalmethod.suanshu.stats.evt.evd.univariate.ReversedWeibullDistribution
  • com.numericalmethod.suanshu.stats.regression.linear.glm.GeneralizedLinearModel (implements com.numericalmethod.suanshu.stats.regression.linear.LinearModel)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.GeneralizedLinearModelQuasiFamily (implements com.numericalmethod.suanshu.stats.regression.linear.LinearModel)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedMinimalResidualSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.GeneralizedParetoDistribution (implements com.numericalmethod.suanshu.stats.evt.evd.univariate.UnivariateEVD)
  • com.numericalmethod.suanshu.algebra.linear.matrix.generic.matrixtype.GenericFieldMatrix<F> (implements com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrix<T,F>)
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.GenericTimeTimeSeries<T> (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.UnivariateTimeSeries<T,E>)
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.DateTimeTimeSeries
  • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.GeneticAlgorithm
    • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.IterativeSolution<S>)
      • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.DEOptim.Solution
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3.getvec.Getvec
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.GEVFittingByMaximumLikelihood (implements com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.MaximumLikelihoodFitting)
  • com.numericalmethod.suanshu.graph.community.GirvanNewman<V,E,G>
    • com.numericalmethod.suanshu.graph.community.GirvanNewmanUnDiGraph<V,E>
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.GivensMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMBinomial (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMExponentialDistribution)
    • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiBinomial (implements com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiDistribution)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMFamily
    • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiFamily
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMGamma (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMExponentialDistribution)
    • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiGamma (implements com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiDistribution)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMGaussian (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMExponentialDistribution)
    • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiGaussian (implements com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiDistribution)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMInverseGaussian (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMExponentialDistribution)
    • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiInverseGaussian (implements com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiDistribution)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.GLMModelSelection
    • com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.BackwardElimination
    • com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.ForwardSelection
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMPoisson (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMExponentialDistribution)
    • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiPoisson (implements com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiDistribution)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.GolubKahanSVD (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.cuttingplane.GomoryMixedCutMinimizer.MyCutter (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.cuttingplane.SimplexCuttingPlaneMinimizer.CutterFactory.Cutter)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.cuttingplane.GomoryPureCutMinimizer.MyCutter (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.cuttingplane.SimplexCuttingPlaneMinimizer.CutterFactory.Cutter)
  • com.numericalmethod.suanshu.analysis.differentiation.multivariate.GradientFunction (implements com.numericalmethod.suanshu.analysis.function.rn2rm.RealVectorFunction)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.qr.GramSchmidt (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.qr.QRDecomposition)
  • com.numericalmethod.suanshu.graph.algorithm.traversal.GraphTraversal.Node<V> (implements java.lang.Comparable<T>)
    • com.numericalmethod.suanshu.graph.algorithm.traversal.BFS.Node<V>
      • com.numericalmethod.suanshu.graph.algorithm.traversal.DFS.Node<V>
  • com.numericalmethod.suanshu.graph.GraphUtils
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.maximizer.GridSearchCetaMaximizer (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.maximizer.CetaMaximizer)
  • com.numericalmethod.suanshu.optimization.univariate.GridSearchMinimizer (implements com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer)
  • com.numericalmethod.suanshu.optimization.univariate.GridSearchMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer.Solution)
  • com.numericalmethod.suanshu.stats.random.sampler.resampler.multivariate.GroupResampler (implements com.numericalmethod.suanshu.stats.random.sampler.resampler.multivariate.MultivariateResampler)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb.resampler.GroupResamplerFactory (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb.resampler.ReturnsResamplerFactory)
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.GSAAcceptanceProbabilityFunction (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.TemperedAcceptanceProbabilityFunction)
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.annealingfunction.GSAAnnealingFunction (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.annealingfunction.AnnealingFunction)
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.temperaturefunction.GSATemperatureFunction (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.temperaturefunction.TemperatureFunction)
  • com.numericalmethod.suanshu.analysis.root.univariate.HalleyRoot (implements com.numericalmethod.suanshu.analysis.root.univariate.Uniroot)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.hvolatility.HConstruction<T>
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.parabolic.dim1.heatequation.HeatEquation1D (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDE)
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.parabolic.dim2.HeatEquation2D (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDE)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.HermitePolynomials (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.OrthogonalPolynomialFamily)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.HermiteRule (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.GaussianQuadratureRule)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.Hessenberg
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.HessenbergDecomposition
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.HessenbergDeflationSearch
  • com.numericalmethod.suanshu.analysis.differentiation.multivariate.HessianFunction (implements com.numericalmethod.suanshu.analysis.function.matrix.RntoMatrix)
  • com.numericalmethod.suanshu.stats.hmm.HmmInnovation
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.pathfollowing.HomogeneousPathFollowingMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedMinimizer<P,S>)
  • com.numericalmethod.suanshu.analysis.function.polynomial.HornerScheme
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householder.HouseholderContext
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householder.HouseholderInPlace
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householder.HouseholderInPlace.Householder
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.qr.HouseholderQR (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.qr.QRDecomposition)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householder.HouseholderReflection
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householder.Householder4SubVector
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householder.Householder4ZeroGenerator
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.pathfollowing.Hp
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.HypersphereRVG (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.stats.test.HypothesisTest
    • com.numericalmethod.suanshu.stats.test.distribution.AndersonDarling
    • 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.variance.BrownForsythe
    • com.numericalmethod.suanshu.stats.test.distribution.pearson.ChiSquareIndependenceTest
    • com.numericalmethod.suanshu.stats.test.distribution.CramerVonMises2Samples
    • com.numericalmethod.suanshu.stats.test.distribution.normality.DAgostino
    • com.numericalmethod.suanshu.stats.test.variance.F
    • com.numericalmethod.suanshu.stats.factor.factoranalysis.FAEstimator
    • com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.Heteroskedasticity
      • com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.BreuschPagan
      • com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.Glejser
      • com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.HarveyGodfrey
      • com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.White
    • 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.rank.wilcoxon.WilcoxonRankSum
    • com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRank
  • com.numericalmethod.suanshu.misc.datastructure.IdentityHashSet<T> (implements java.util.Set<E>)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.IdentityPreconditioner (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner)
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.IID (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.bb.ILPBranchAndBoundMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPMinimizer<T,S>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.bb.ILPNode (implements com.numericalmethod.suanshu.misc.algorithm.bb.BBNode, com.numericalmethod.suanshu.optimization.multivariate.constrained.problem.ConstrainedOptimProblem)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.problem.ILPProblemImpl1 (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.problem.ILPProblem)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.problem.PureILPProblem
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.ImmutableMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.algebra.linear.vector.doubles.ImmutableVector (implements com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector)
  • com.numericalmethod.suanshu.stats.factor.implicitmodelpca.ImplicitModelPCA
  • com.numericalmethod.suanshu.stats.factor.implicitmodelpca.ImplicitModelPCA.Result
  • com.numericalmethod.suanshu.stats.random.variancereduction.ImportanceSampling (implements com.numericalmethod.suanshu.stats.random.MeanEstimator)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.daspremont2008.IndependentCoVAR
  • com.numericalmethod.suanshu.finance.trading.infantino2010.Infantino2010PCA
  • com.numericalmethod.suanshu.finance.trading.infantino2010.Infantino2010PCA.Signal
  • com.numericalmethod.suanshu.finance.trading.infantino2010.Infantino2010Regime
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.InnerProduct
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.InnovationsAlgorithm
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Integral
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.IntegralDB
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.IntegralDt
  • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.AllIntegers (implements com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.IntegerConstraint)
  • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.SomeIntegers (implements com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.IntegerConstraint)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.IntegralExpectation
  • com.numericalmethod.suanshu.interval.Interval<T>
    • com.numericalmethod.suanshu.interval.RealInterval
    • com.numericalmethod.suanshu.misc.datastructure.time.TimeInterval
  • com.numericalmethod.suanshu.interval.Intervals<T>
    • com.numericalmethod.suanshu.misc.datastructure.time.TimeIntervals
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.InverseIteration
  • com.numericalmethod.suanshu.stats.random.rng.univariate.InverseTransformSampling (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
    • com.numericalmethod.suanshu.stats.random.rng.univariate.exp.InverseTransformSamplingExpRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.exp.RandomExpGenerator)
    • com.numericalmethod.suanshu.stats.random.rng.univariate.gamma.InverseTransformSamplingGammaRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.gamma.RandomGammaGenerator)
    • com.numericalmethod.suanshu.stats.random.rng.univariate.RayleighRNG
    • com.numericalmethod.suanshu.stats.random.rng.univariate.WeibullRNG
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.rng.InverseTransformSamplingEVDRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.normal.truncated.InverseTransformSamplingTruncatedNormalRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.gamma.RandomGammaGenerator)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.InvertingVariable (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPProblemImpl1 (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPProblem)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.bruteforce.BruteForceIPProblem
  • com.numericalmethod.suanshu.misc.algorithm.iterative.monitor.IteratesMonitor<S> (implements com.numericalmethod.suanshu.misc.algorithm.iterative.monitor.IterationMonitor<S>)
    • com.numericalmethod.suanshu.misc.algorithm.iterative.monitor.VectorMonitor
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Maximizer (implements com.numericalmethod.suanshu.optimization.Optimizer<P,S>)
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.elliptic.dim2.IterativeCentralDifference (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDESolver)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.IWLS (implements com.numericalmethod.suanshu.stats.regression.linear.glm.GLMFitting)
  • com.numericalmethod.suanshu.analysis.differentiation.multivariate.JacobianFunction (implements com.numericalmethod.suanshu.analysis.function.matrix.RntoMatrix)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.JacobiPreconditioner (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.JacobiSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JenkinsTraubReal
  • com.numericalmethod.suanshu.misc.datastructure.time.JodaTimeUtils
  • com.numericalmethod.suanshu.stats.cointegration.JohansenTest
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.JordanExchange
  • com.numericalmethod.suanshu.finance.trading.meanreversion.hvolatility.Kagi<T>
  • com.numericalmethod.suanshu.finance.trading.meanreversion.hvolatility.KagiModel
  • com.numericalmethod.suanshu.stats.descriptive.correlation.KendallRankCorrelation (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.Kernel
  • com.numericalmethod.suanshu.finance.trading.trend.kst1995.KnightSatchellTran1995MLE
  • com.numericalmethod.suanshu.stats.random.rng.univariate.poisson.Knuth1969 (implements com.numericalmethod.suanshu.stats.random.rng.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.rng.univariate.gamma.KunduGupta2007 (implements com.numericalmethod.suanshu.stats.random.rng.univariate.gamma.RandomGammaGenerator)
  • com.numericalmethod.suanshu.stats.descriptive.moment.Kurtosis (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.LaguerrePolynomials (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.OrthogonalPolynomialFamily)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.LaguerreRule (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.GaussianQuadratureRule)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.Lai2010NPEBModel
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.Lai2010NPEBModel.OptimalWeights
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.Lai2010OptimizationAlgorithm (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.PortfolioOptimizationAlgorithm)
  • com.numericalmethod.suanshu.analysis.function.special.gamma.Lanczos
  • com.numericalmethod.suanshu.stats.regression.linear.lasso.lars.LARSFitting
  • com.numericalmethod.suanshu.stats.regression.linear.lasso.lars.LARSFitting.Estimators
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3.LDDecomposition
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3.LDFactorizationFromRoot
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.LDLt
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid.LeapFrogging
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid.LeapFrogging.DynamicsState
  • com.numericalmethod.suanshu.optimization.multivariate.minmax.LeastPth<T> (implements com.numericalmethod.suanshu.optimization.multivariate.minmax.MinMaxMinimizer<T>)
  • com.numericalmethod.suanshu.analysis.curvefit.LeastSquares (implements com.numericalmethod.suanshu.analysis.curvefit.CurveFitting)
  • com.numericalmethod.suanshu.analysis.integration.univariate.Lebesgue
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.LEcuyer (implements com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.stats.descriptive.covariance.LedoitWolf2004
  • com.numericalmethod.suanshu.stats.descriptive.covariance.LedoitWolf2004.Result
  • com.numericalmethod.suanshu.stats.covariance.nlshrink.LedoitWolf2016
  • com.numericalmethod.suanshu.stats.covariance.nlshrink.LedoitWolf2016.Result
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.LegendrePolynomials (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.OrthogonalPolynomialFamily)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.LegendreRule (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.GaussianQuadratureRule)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.Lehmer (implements com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.misc.license.License
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.LILSparseMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.linear.LinearConstraints (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.Constraints)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.linear.LinearEqualityConstraints (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.EqualityConstraints)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.linear.LinearGreaterThanConstraints (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.GreaterThanConstraints)
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.linear.LowerBoundConstraints
        • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.linear.NonNegativityConstraints
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.linear.LinearLessThanConstraints (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.LessThanConstraints)
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.linear.UpperBoundConstraints
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.LinearFit
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.LinearInterpolation (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.Interpolation)
  • com.numericalmethod.suanshu.stats.dlm.univariate.LinearKalmanFilter
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.LinearRoot (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.LinearSystemSolver
  • com.numericalmethod.suanshu.geometry.LineSegment
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkCloglog (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkIdentity (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkInverse (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkInverseSquared (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkLog (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkLogit (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkProbit (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkSqrt (implements com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction)
  • com.numericalmethod.suanshu.stats.regression.linear.LMBeta
    • com.numericalmethod.suanshu.stats.regression.linear.glm.GLMBeta
      • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.QuasiGLMBeta
    • com.numericalmethod.suanshu.stats.regression.linear.logistic.LogisticBeta
    • com.numericalmethod.suanshu.stats.regression.linear.ols.OLSBeta
  • com.numericalmethod.suanshu.stats.regression.linear.residualanalysis.LMDiagnostics
  • com.numericalmethod.suanshu.stats.regression.linear.residualanalysis.LMInformationCriteria
  • com.numericalmethod.suanshu.stats.regression.linear.LMProblem
    • com.numericalmethod.suanshu.stats.regression.linear.lasso.ConstrainedLASSOProblem
    • com.numericalmethod.suanshu.stats.regression.linear.glm.GLMProblem
      • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.QuasiGLMProblem
    • com.numericalmethod.suanshu.stats.regression.linear.lasso.lars.LARSProblem
    • com.numericalmethod.suanshu.stats.regression.linear.logistic.LogisticProblem
    • com.numericalmethod.suanshu.stats.regression.linear.lasso.UnconstrainedLASSOProblem
  • com.numericalmethod.suanshu.stats.regression.linear.residualanalysis.LMResiduals
    • com.numericalmethod.suanshu.stats.regression.linear.glm.GLMResiduals
      • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.QuasiGLMResiduals
    • com.numericalmethod.suanshu.stats.regression.linear.logistic.LogisticResiduals
    • com.numericalmethod.suanshu.stats.regression.linear.ols.OLSResiduals
  • com.numericalmethod.suanshu.stats.regression.linear.logistic.LogisticRegression (implements com.numericalmethod.suanshu.stats.regression.linear.LinearModel)
  • com.numericalmethod.suanshu.stats.distribution.univariate.LogNormalDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.LogNormalMixtureDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.MixtureDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.LogNormalMixtureDistribution.Lambda
  • com.numericalmethod.suanshu.stats.random.rng.univariate.LogNormalRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.triangle.LowerTriangularMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPBoundedMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexMinimizer)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblemImpl1 (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPCanonicalProblem1
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPCanonicalProblem2
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPStandardProblem
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPTwoPhaseSolver (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPUnboundedMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexMinimizer)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPUnboundedMinimizerScheme2
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.LSProblem
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.LU (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.LUDecomposition)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.LUSolver
  • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.MADecomposition
  • com.numericalmethod.suanshu.stats.evt.timeseries.MARMAModel
    • com.numericalmethod.suanshu.stats.evt.timeseries.MARModel
    • com.numericalmethod.suanshu.stats.evt.timeseries.MMAModel
  • com.numericalmethod.suanshu.stats.evt.timeseries.MARMASim (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.normal.MarsagliaBray1964 (implements com.numericalmethod.suanshu.stats.random.rng.univariate.normal.RandomStandardNormalGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.gamma.MarsagliaTsang2000 (implements com.numericalmethod.suanshu.stats.random.rng.univariate.gamma.RandomGammaGenerator)
  • com.numericalmethod.suanshu.misc.datastructure.MathTable
  • com.numericalmethod.suanshu.misc.datastructure.MathTable.Row
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.MatrixCoordinate
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.MatrixFactory
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.MatrixMeasure
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixPropertyUtils
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.MatrixUtils
  • com.numericalmethod.suanshu.stats.descriptive.rank.Max (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.MaximaDistribution (implements com.numericalmethod.suanshu.stats.evt.evd.univariate.UnivariateEVD)
  • com.numericalmethod.suanshu.stats.markovchain.MCUtils
  • com.numericalmethod.suanshu.stats.descriptive.moment.Mean (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.volarb.MeanEstimatorMaxLevelShift (implements com.numericalmethod.suanshu.finance.trading.meanreversion.volarb.MeanEstimator)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.mersennetwister.MersenneTwister (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomLongGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.mersennetwister.MersenneTwisterParam
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.mersennetwister.dynamiccreation.MersenneTwisterParamSearcher
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.MetropolisAcceptanceProbabilityFunction (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.TemperedAcceptanceProbabilityFunction)
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis.MetropolisUtils
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.discrete.MilsteinSDE (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.discrete.DiscreteSDE)
  • com.numericalmethod.suanshu.stats.descriptive.rank.Min (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.MinimaDistribution (implements com.numericalmethod.suanshu.stats.evt.evd.univariate.UnivariateEVD)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.MinimalResidualSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.constraint.MinimumWeights (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.Corvalan2005.WeightsConstraint)
  • com.numericalmethod.suanshu.stats.hmm.mixture.MixtureHMMEM.TrainedModel
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb.resampler.ModelResamplerFactory (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb.resampler.ReturnsResamplerFactory)
    • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb.resampler.ARResamplerFactory
    • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb.resampler.GARCHResamplerFactory
  • com.numericalmethod.suanshu.stats.descriptive.moment.Moments (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.finance.trading.returns.moments.MomentsEstimatorLedoitWolf (implements com.numericalmethod.suanshu.finance.trading.returns.moments.ReturnsMoments.Estimator)
  • 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.algebra.linear.matrix.doubles.factorization.eigen.mr3.MR3 (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.MRG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.LinearCongruentialGenerator)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.volarb.MRModelRanged (implements com.numericalmethod.suanshu.finance.trading.meanreversion.volarb.MRModel)
  • com.numericalmethod.suanshu.misc.datastructure.MultiDimensionalArray<T> (implements com.numericalmethod.suanshu.misc.datastructure.MultiDimensionalCollection<T>)
  • com.numericalmethod.suanshu.misc.datastructure.MultiDimensionalGrid (implements java.lang.Iterable<T>)
  • com.numericalmethod.suanshu.misc.datastructure.MultiDimensionalGrid.Discretization
  • com.numericalmethod.suanshu.stats.distribution.multivariate.MultinomialDistribution (implements com.numericalmethod.suanshu.stats.distribution.multivariate.MultivariateProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.MultinomialRVG (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.MultivariateArrayGrid (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.MultivariateGrid)
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.random.MultivariateBrownianRRG (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.random.MultivariateRandomRealizationGenerator)
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.discrete.MultivariateBrownianSDE (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.discrete.MultivariateDiscreteSDE)
  • com.numericalmethod.suanshu.stats.dlm.multivariate.MultivariateDLM
  • com.numericalmethod.suanshu.stats.dlm.multivariate.MultivariateDLMSeries (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.TimeSeries<T,V,E>)
  • com.numericalmethod.suanshu.stats.dlm.multivariate.MultivariateDLMSeries.Entry (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.TimeSeries.Entry<T,V>)
  • com.numericalmethod.suanshu.stats.dlm.multivariate.MultivariateDLMSim
  • com.numericalmethod.suanshu.stats.dlm.multivariate.MultivariateDLMSim.Innovation
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.discrete.MultivariateEulerSDE (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.discrete.MultivariateDiscreteSDE)
  • com.numericalmethod.suanshu.stats.distribution.multivariate.exponentialfamily.MultivariateExponentialFamily
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.MultivariateForecastOneStep
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.MultivariateFt (implements com.numericalmethod.suanshu.misc.DeepCopyable)
    • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.MultivariateFtWt
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.MultivariateGenericTimeTimeSeries<T> (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.MultivariateTimeSeries<T,E>)
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.MultivariateInnovationAlgorithm
  • com.numericalmethod.suanshu.stats.dlm.multivariate.MultivariateLinearKalmanFilter
  • com.numericalmethod.suanshu.stats.distribution.multivariate.MultivariateNormalDistribution (implements com.numericalmethod.suanshu.stats.distribution.multivariate.MultivariateProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.dlm.multivariate.MultivariateObservationEquation
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.random.MultivariateRandomProcess (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
    • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.random.MultivariateRandomWalk
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.random.MultivariateRandomRealizationOfRandomProcess (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.random.MultivariateRandomRealizationGenerator)
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.MultivariateRegularGrid (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.MultivariateGrid)
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.MultivariateRegularGrid.EquallySpacedVariable
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.MultivariateSDE
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.inttime.MultivariateSimpleTimeSeries (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.inttime.MultivariateIntTimeTimeSeries)
  • com.numericalmethod.suanshu.stats.dlm.multivariate.MultivariateStateEquation
  • com.numericalmethod.suanshu.stats.distribution.multivariate.MultivariateTDistribution (implements com.numericalmethod.suanshu.stats.distribution.multivariate.MultivariateProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.MultivariateTimeSeries.Entry<T> (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.TimeSeries.Entry<T,V>)
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.inttime.MultivariateIntTimeTimeSeries.Entry
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.MultivariateRealization.Entry
  • com.numericalmethod.suanshu.misc.parallel.Mutex
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.optimizer.MVOptimizer.Result
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.optimizer.MVOptimizerMinWeights (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.optimizer.MVOptimizer)
    • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.optimizer.MVOptimizerLongOnly
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.optimizer.MVOptimizerNoConstraint (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.optimizer.MVOptimizer)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.optimizer.MVOptimizerShrankMean (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.optimizer.MVOptimizer)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.MWC8222 (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomLongGenerator)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.NaiveRule (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SimplexPivoting)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SmallestSubscriptRule
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.NelderMeadMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Minimizer)
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.NelderMeadMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.IterativeSolution<S>)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.newtoncotes.NewtonCotes (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.IterativeIntegrator)
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.newtoncotes.Midpoint
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.newtoncotes.Trapezoidal
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.NewtonPolynomial (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.Interpolation)
  • com.numericalmethod.suanshu.analysis.root.univariate.NewtonRoot (implements com.numericalmethod.suanshu.analysis.root.univariate.Uniroot)
  • com.numericalmethod.suanshu.analysis.root.multivariate.NewtonSystemRoot
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.NoChangeOfVariable (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.constraint.NoConstraints (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.Corvalan2005.WeightsConstraint)
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.NonlinearFit
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.acer.NonlinearFit.Result
  • com.numericalmethod.suanshu.stats.covariance.nlshrink.NonlinearShrinkageEstimator
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.problem.NonNegativityConstraintOptimProblem (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.problem.ConstrainedOptimProblem)
  • com.numericalmethod.suanshu.stats.distribution.univariate.NormalDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.NormalMixtureDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.MixtureDistribution)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.NormalMixtureDistribution.Lambda
  • com.numericalmethod.suanshu.stats.random.rng.univariate.normal.NormalRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.NormalRVG (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.constraint.NoShortSelling (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.Corvalan2005.WeightsConstraint)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb.NPEBPortfolioMomentsEstimator (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.Ceta.PortfolioMomentsEstimator)
  • com.numericalmethod.suanshu.misc.algorithm.iterative.monitor.NullMonitor<S> (implements com.numericalmethod.suanshu.misc.algorithm.iterative.monitor.IterationMonitor<S>)
  • java.lang.Number (implements java.io.Serializable)
    • com.numericalmethod.suanshu.number.complex.Complex (implements com.numericalmethod.suanshu.algebra.structure.Field<F>, com.numericalmethod.suanshu.number.NumberUtils.Comparable<T>)
    • com.numericalmethod.suanshu.number.Real (implements java.lang.Comparable<T>, com.numericalmethod.suanshu.algebra.structure.Field<F>)
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.VariancebtX
    • com.numericalmethod.suanshu.number.ScientificNotation
  • com.numericalmethod.suanshu.number.NumberUtils
  • com.numericalmethod.suanshu.stats.dlm.univariate.ObservationEquation
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.problem.ODE
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.problem.ODE1stOrder
    • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.problem.ODE1stOrderWith2ndDerivative
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.ODESolution
  • com.numericalmethod.suanshu.stats.regression.linear.ols.OLSRegression (implements com.numericalmethod.suanshu.stats.regression.linear.LinearModel)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.OLSSolverByQR
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.OLSSolver
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.OLSSolverBySVD
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.OneDimensionTimeSeries<T> (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.UnivariateTimeSeries<T,E>)
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.OrderStatisticsDistribution (implements com.numericalmethod.suanshu.stats.evt.evd.univariate.UnivariateEVD)
  • com.numericalmethod.suanshu.misc.algorithm.stopcondition.OrStopConditions (implements com.numericalmethod.suanshu.misc.algorithm.stopcondition.StopCondition)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process.ou.OUFittingMLE (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process.ou.OUFitting)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process.ou.OUFittingOLS (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process.ou.OUFitting)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process.ou.OUSim (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.misc.license.Package
  • com.numericalmethod.suanshu.analysis.function.tuple.Pair (implements java.lang.Comparable<T>)
  • com.numericalmethod.suanshu.analysis.function.tuple.PairComparatorByAbscissaFirst (implements java.util.Comparator<T>)
  • com.numericalmethod.suanshu.analysis.function.tuple.PairComparatorByAbscissaOnly (implements java.util.Comparator<T>)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModel1 (implements com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModel)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModel2 (implements com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModel)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModel3 (implements com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModel)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModel4 (implements com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModel)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModel5 (implements com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModel)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModelUtils
  • com.numericalmethod.suanshu.stats.regression.linear.panel.PanelData<S>
  • com.numericalmethod.suanshu.stats.regression.linear.panel.PanelData.Row (implements java.lang.Comparable<T>)
  • com.numericalmethod.suanshu.number.doublearray.ParallelDoubleArrayOperation (implements com.numericalmethod.suanshu.number.doublearray.DoubleArrayOperation)
  • com.numericalmethod.suanshu.misc.parallel.ParallelExecutor
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.PartialDerivativesByCenteredDifferencing (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BicubicInterpolation.PartialDerivatives)
  • com.numericalmethod.suanshu.analysis.function.tuple.PartialFunction (implements com.numericalmethod.suanshu.analysis.function.tuple.OrderedPairs)
  • com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block.PattonPolitisWhite2009 (implements com.numericalmethod.suanshu.stats.random.sampler.resampler.Resampler)
  • com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block.PattonPolitisWhite2009ForObject<X> (implements com.numericalmethod.suanshu.stats.random.sampler.resampler.ObjectResampler<X>)
  • com.numericalmethod.suanshu.stats.factor.pca.PCAbyEigen
  • com.numericalmethod.suanshu.stats.factor.pca.PCAbySVD
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.PDETimeSpaceGrid1D
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.pot.PeaksOverThreshold (implements com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.MaximumLikelihoodFitting)
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.pot.PeaksOverThresholdOnClusters (implements com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.MaximumLikelihoodFitting)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod.PenaltyFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod.MultiplierPenalty
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod.AbsoluteErrorPenalty
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod.CourantPenalty
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod.FletcherPenalty
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod.SumOfPenalties
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod.ZeroPenalty
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod.PenaltyMethodMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedMinimizer<P,S>)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.PermutationMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.firstgeneration.PerturbationAroundPoint (implements com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.firstgeneration.FirstGeneration)
  • com.numericalmethod.suanshu.misc.PhysicalConstants
  • com.numericalmethod.suanshu.geometry.Point
  • com.numericalmethod.suanshu.stats.distribution.univariate.PoissonDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.elliptic.dim2.PoissonEquation2D (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDE)
  • com.numericalmethod.suanshu.stats.hmm.mixture.distribution.PoissonMixtureDistribution (implements com.numericalmethod.suanshu.stats.hmm.mixture.distribution.MixtureDistribution)
  • com.numericalmethod.suanshu.geometry.polyline.PolygonalChainByArray (implements com.numericalmethod.suanshu.geometry.polyline.PolygonalChain)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRoot (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.PortfolioOptimizationAlgorithm.SampleCovarianceEstimator (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.PortfolioOptimizationAlgorithm.CovarianceEstimator)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.PortfolioOptimizationAlgorithm.SampleMeanEstimator (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.PortfolioOptimizationAlgorithm.MeanEstimator)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.PortfolioRiskExactSigma.DefaultRoot (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.PortfolioRiskExactSigma.MatrixRoot)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.PortfolioRiskExactSigma.Diagonalization (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.PortfolioRiskExactSigma.MatrixRoot)
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.PowerLawSingularity (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
  • com.numericalmethod.suanshu.misc.PrecisionUtils
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.interiorpoint.PrimalDualInteriorPointMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedMinimizer<P,S>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.interiorpoint.PrimalDualInteriorPointMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.IterativeSolution<S>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.pathfollowing.PrimalDualPathFollowingMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedMinimizer<P,S>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.pathfollowing.PrimalDualPathFollowingMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.IterativeSolution<S>)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.pathfollowing.HomogeneousPathFollowingMinimizer.Solution
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.interiorpoint.PrimalDualSolution
  • com.numericalmethod.suanshu.stats.distribution.discrete.ProbabilityMassFunction.Mass<X>
  • com.numericalmethod.suanshu.stats.distribution.discrete.ProbabilityMassQuantile<X>
  • com.numericalmethod.suanshu.stats.distribution.discrete.ProbabilityMassSampler<X> (implements com.numericalmethod.suanshu.stats.random.Seedable)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.diversification.ProductOfWeights (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.diversification.DiversificationMeasure)
  • com.numericalmethod.suanshu.algebra.linear.vector.doubles.operation.Projection
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.socp.QPbySOCPMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.socp.QPbySOCPMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.IterativeSolution<S>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.activeset.QPDualActiveSetMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.activeset.QPDualActiveSetMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.IterativeSolution<S>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.activeset.QPPrimalActiveSetMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.activeset.QPPrimalActiveSetMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.IterativeSolution<S>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.problem.QPProblem (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.problem.ConstrainedOptimProblem)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.QPSimpleMinimizer
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.socp.QPtoSOCPTransformer
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.qr.QR (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.qr.QRDecomposition)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.QRAlgorithm (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.QuadraticRoot (implements com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver)
  • com.numericalmethod.suanshu.analysis.function.polynomial.QuadraticSyntheticDivision
  • com.numericalmethod.suanshu.stats.descriptive.rank.Quantile (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.analysis.function.polynomial.root.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.stats.regression.linear.glm.quasi.QuasiGLMNewtonRaphson (implements com.numericalmethod.suanshu.stats.regression.linear.glm.GLMFitting)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.QuasiMinimalResidualSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.stats.covariance.nlshrink.quest.QuEST
  • com.numericalmethod.suanshu.stats.covariance.nlshrink.quest.QuEST.Result
  • 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.MultivariateAutoCorrelationFunction
      • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARMAAutoCorrelation
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.MultivariateAutoCovarianceFunction
      • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARMAAutoCovariance
  • com.numericalmethod.suanshu.geometry.polyline.RamerDouglasPeucker
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.random.RandomProcess (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.random.RandomWalk
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.random.RandomRealizationOfRandomProcess (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.random.RandomRealizationGenerator)
  • com.numericalmethod.suanshu.stats.descriptive.rank.Rank
  • com.numericalmethod.suanshu.stats.distribution.univariate.RayleighDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.algebra.linear.matrix.generic.matrixtype.RealMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrix<T,F>)
  • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.RealScalarFunctionChromosome (implements com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.Chromosome)
    • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory.SimpleCell
      • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.DEOptimCellFactory.DeOptimCell
        • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.constrained.ConstrainedCellFactory.ConstrainedCell
        • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.Rand1Bin.DeRand1BinCell
          • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.Best2Bin.DeBest2BinCell
      • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.local.LocalSearchCellFactory.LocalSearchCell
  • com.numericalmethod.suanshu.algebra.linear.vector.doubles.operation.RealVectorSpace
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.RecursiveGridInterpolation (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.MultivariateGridInterpolation)
    • com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.MultiCubicSpline
    • com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.MultiLinearInterpolation
  • com.numericalmethod.suanshu.misc.parallel.Reference<T>
  • com.numericalmethod.suanshu.misc.algorithm.iterative.tolerance.RelativeTolerance (implements com.numericalmethod.suanshu.misc.algorithm.iterative.tolerance.Tolerance)
  • com.numericalmethod.suanshu.finance.trading.returns.Returns
  • com.numericalmethod.suanshu.finance.trading.returns.moments.ReturnsMoments
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Riemann (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Integrator)
  • com.numericalmethod.suanshu.stats.random.rng.RNGUtils
  • com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.RobustCointegration
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.newtoncotes.Romberg (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Integrator)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.ODESolver)
    • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.EulerMethod
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta1 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta10 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta2 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta3 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta4 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta5 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta6 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta7 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta8 (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaFehlberg (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.ODESolver)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaIntegrator (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.ODEIntegrator)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.nmsaam.SAAM (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.PortfolioOptimizationAlgorithm)
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.SDE
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process.GBMProcess
    • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process.ou.OrnsteinUhlenbeckProcess (implements com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process.ou.OUProcess)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.problem.SDPDualProblem.EqualityConstraints (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.EqualityConstraints)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.problem.SDPPrimalProblem
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.interiorpoint.SDPT3v4
  • com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.SelectionByAIC (implements com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.ForwardSelection.Step)
  • com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.SelectionByZValue (implements com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.ForwardSelection.Step)
  • com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.extrapolation.SemiImplicitExtrapolation (implements com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.ODESolver)
  • com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.SHR0 (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomLongGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.SHR3 (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomLongGenerator)
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.annealingfunction.SimpleAnnealingFunction (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.annealingfunction.AnnealingFunction)
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.annealingfunction.BoltzAnnealingFunction
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.annealingfunction.FastAnnealingFunction
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.fit.SimpleAR1Moments (implements com.numericalmethod.suanshu.finance.trading.returns.moments.ReturnsMoments.Estimator)
  • com.numericalmethod.suanshu.graph.type.SimpleArc<V> (implements com.numericalmethod.suanshu.graph.WeightedArc<V>)
  • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory
    • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.DEOptimCellFactory
      • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.constrained.ConstrainedCellFactory
        • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory
      • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.Rand1Bin
        • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.Best1Bin
          • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.Best2Bin
    • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.local.LocalSearchCellFactory<P,T>
  • com.numericalmethod.suanshu.number.doublearray.SimpleDoubleArrayOperation (implements com.numericalmethod.suanshu.number.doublearray.DoubleArrayOperation)
  • com.numericalmethod.suanshu.graph.type.SimpleEdge<V> (implements com.numericalmethod.suanshu.graph.UndirectedEdge<V>, com.numericalmethod.suanshu.graph.WeightedEdge<V>)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.fit.SimpleGARCHFit (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.fit.ResamplerModel)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.fit.SimpleGARCHMoments1 (implements com.numericalmethod.suanshu.finance.trading.returns.moments.ReturnsMoments.Estimator)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.fit.SimpleGARCHMoments2 (implements com.numericalmethod.suanshu.finance.trading.returns.moments.ReturnsMoments.Estimator)
  • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.IterativeMinimizer<P>)
    • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.DEOptim
    • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.local.GlobalSearchByLocalMinimizer
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.SimpleMatrixMathOperation (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation)
  • com.numericalmethod.suanshu.stats.markovchain.SimpleMC (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
    • com.numericalmethod.suanshu.stats.hmm.HMMRNG
      • com.numericalmethod.suanshu.stats.hmm.HiddenMarkovModel
        • com.numericalmethod.suanshu.stats.hmm.discrete.DiscreteHMM
          • com.numericalmethod.suanshu.stats.hmm.discrete.BaumWelch
        • com.numericalmethod.suanshu.stats.hmm.mixture.MixtureHMM
          • com.numericalmethod.suanshu.stats.hmm.mixture.MixtureHMMEM
      • com.numericalmethod.suanshu.finance.trading.trend.kst1995.KnightSatchellTran1995
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.temperaturefunction.SimpleTemperatureFunction (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.temperaturefunction.TemperatureFunction)
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.temperaturefunction.BoltzTemperatureFunction
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.temperaturefunction.ExpTemperatureFunction
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.temperaturefunction.FastTemperatureFunction
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.inttime.SimpleTimeSeries (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.inttime.IntTimeTimeSeries)
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.AdditiveModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.MultiplicativeModel
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.cuttingplane.SimplexCuttingPlaneMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedMinimizer<P,S>)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.cuttingplane.GomoryMixedCutMinimizer
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.cuttingplane.GomoryPureCutMinimizer
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SimplexPivoting.Pivot
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.SimplexTable.Label
  • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.newtoncotes.Simpson (implements com.numericalmethod.suanshu.analysis.integration.univariate.riemann.IterativeIntegrator)
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.SimulatedAnnealingMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.IterativeMinimizer<P>)
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.GeneralizedSimulatedAnnealingMinimizer
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.dqds.SingularValueByDQDS
  • com.numericalmethod.suanshu.stats.descriptive.moment.Skewness (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.SOCPDualProblem (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.problem.ConstrainedOptimProblem)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.SOCPGeneralProblem
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.SOCPPortfolioProblem
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.SOCPDualProblem.EqualityConstraints (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.EqualityConstraints)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.SOCPGeneralConstraint
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.SOCPGeneralConstraints (implements java.lang.Iterable<T>)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.SOCPPortfolioConstraint (implements java.lang.Iterable<T>, com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.MarketImpact1
    • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.socp.constraints.SOCPMaximumLoan
    • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.socp.constraints.SOCPNoTradingList1
    • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.socp.constraints.ybar.SOCPNoTradingList2
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.SOCPRiskConstraint
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.PortfolioRiskExactSigma
    • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.socp.constraints.ybar.SOCPSectorExposure
    • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.socp.constraints.SOCPSectorNeutrality
    • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.socp.constraints.SOCPSelfFinancing
    • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.socp.constraints.SOCPZeroValue
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.SOCPPortfolioConstraint.Variable
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.SOCPPortfolioObjectiveFunction (implements com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SORSweep
  • com.numericalmethod.suanshu.misc.datastructure.SortableArray (implements java.lang.Comparable<T>)
  • com.numericalmethod.suanshu.analysis.function.tuple.SortedOrderedPairs (implements com.numericalmethod.suanshu.analysis.function.tuple.OrderedPairs)
  • com.numericalmethod.suanshu.graph.type.SparseGraph<V,E> (implements com.numericalmethod.suanshu.graph.Graph<V,E>)
    • com.numericalmethod.suanshu.graph.type.SparseDiGraph<V,E> (implements com.numericalmethod.suanshu.graph.DiGraph<V,E>)
      • com.numericalmethod.suanshu.graph.type.SparseDAGraph<V,E> (implements com.numericalmethod.suanshu.graph.DAGraph<V,E>)
    • com.numericalmethod.suanshu.graph.type.SparseUnDiGraph<V,E> (implements com.numericalmethod.suanshu.graph.UnDiGraph<V,E>)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix.Entry
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix.ValueArray
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrixUtils
  • com.numericalmethod.suanshu.graph.type.SparseTree<V> (implements com.numericalmethod.suanshu.graph.RootedTree<V,E>)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseVector (implements java.lang.Iterable<T>, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure, com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector)
    • com.numericalmethod.suanshu.algebra.linear.vector.doubles.operation.Basis
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseVector.Entry
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseVector.Iterator (implements java.util.Iterator<E>)
  • com.numericalmethod.suanshu.stats.descriptive.correlation.SpearmanRankCorrelation (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.SQPActiveSetMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedMinimizer<P,S>)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.SQPActiveSetOnlyInequalityConstraintMinimizer
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.SQPActiveSetMinimizer.Solution (implements com.numericalmethod.suanshu.optimization.IterativeSolution<S>)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.SQPActiveSetOnlyInequalityConstraintMinimizer.Solution
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetOnlyEqualityConstraint1Minimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedMinimizer<P,S>)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetOnlyEqualityConstraint2Minimizer
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation1 (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation2
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.SQPASVariation1 (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.SQPASVariation)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.SSORPreconditioner (implements com.numericalmethod.suanshu.algebra.linear.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.univariate.StateEquation
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescent.SteepestDescentMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Minimizer)
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.conjugatedirection.ConjugateGradientMinimizer
      • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.conjugatedirection.FletcherReevesMinimizer
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescent.FirstOrderMinimizer
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescent.GaussNewtonMinimizer.MySteepestDescent
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescent.NewtonRaphsonMinimizer
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.conjugatedirection.PowellMinimizer
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.QuasiNewtonMinimizer
      • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.BFGSMinimizer
      • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.HuangMinimizer
        • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.DFPMinimizer
        • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.McCormickMinimizer
        • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.PearsonMinimizer
        • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.RankOneMinimizer
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.conjugatedirection.ZangwillMinimizer
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescent.SteepestDescentMinimizer.SteepestDescentImpl (implements com.numericalmethod.suanshu.optimization.IterativeSolution<S>)
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescent.GaussNewtonMinimizer.MySteepestDescent.GaussNewtonImpl
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescent.NewtonRaphsonMinimizer.NewtonRaphsonImpl
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.conjugatedirection.PowellMinimizer.PowellImpl
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.QuasiNewtonMinimizer.QuasiNewtonImpl
      • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.BFGSMinimizer.BFGSImpl
      • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewton.HuangMinimizer.HuangImpl
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.conjugatedirection.ZangwillMinimizer.ZangwillImpl
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.SteepestDescentSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.misc.StringUtils
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3.SturmCount
  • 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.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.SubMatrixBlock
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.SubMatrixRef (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.SubProblemMinimizer (implements com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedMinimizer<P,S>)
  • com.numericalmethod.suanshu.algebra.linear.vector.doubles.SubVectorRef
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SuccessiveOverrelaxationSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.analysis.sequence.Summation
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.diversification.SumOfPoweredWeights (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.diversification.DiversificationMeasure)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.diversification.SumOfSquaredWeights (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.diversification.DiversificationMeasure)
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.diversification.SumOfWLogW (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.diversification.DiversificationMeasure)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.SVD (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.mr3.SVDbyMR3 (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3.SymmetricEigenByMR3 (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.mr3.SymmetricEigenFor2x2Matrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.triangle.SymmetricMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
    • com.numericalmethod.suanshu.analysis.differentiation.multivariate.BorderedHessian
    • com.numericalmethod.suanshu.analysis.differentiation.multivariate.Hessian
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.HilbertMatrix
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.SymmetricQRAlgorithm (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SymmetricSuccessiveOverrelaxationSolver (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.SymmetricSVD (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.diagonalization.SymmetricTridiagonalDecomposition
  • com.numericalmethod.suanshu.stats.descriptive.SynchronizedStatistic (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.stats.covariance.nlshrink.TauEstimator
  • com.numericalmethod.suanshu.stats.distribution.univariate.TDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.ThinRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.ThinRVG (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.ThomasAlgorithm
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Error
      • com.numericalmethod.suanshu.misc.license.LicenseError
        • com.numericalmethod.suanshu.misc.license.InvalidLicense
    • java.lang.Exception
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.ConvergenceFailure
      • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.mersennetwister.dynamiccreation.DynamicCreatorException
      • com.numericalmethod.suanshu.finance.trading.meanreversion.elliott2005.ElliottOnlineFilter.NoModelFitted
      • com.numericalmethod.suanshu.algebra.structure.Field.InverseNonExistent
      • com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.GLMModelSelection.ModelNotFound
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.exception.LPException
        • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.exception.LPInfeasible
        • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.exception.LPUnbounded
      • com.numericalmethod.suanshu.misc.parallel.MultipleExecutionException
      • com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.NoPairFoundException
      • com.numericalmethod.suanshu.analysis.root.univariate.NoRootFoundException
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.QPException
        • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.QPInfeasible
      • java.lang.RuntimeException
        • com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.ContinuedFraction.MaxIterationsExceededException
        • com.numericalmethod.suanshu.analysis.function.tuple.DuplicatedAbscissae
        • com.numericalmethod.suanshu.analysis.function.Function.EvaluationException
        • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.LinearSystemSolver.NoSolution
        • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.exception.LPRuntimeException
          • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.exception.LPDimensionNotMatched
          • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.exception.LPEmptyCostVector
          • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.exception.LPNoConstraint
        • com.numericalmethod.suanshu.algebra.linear.matrix.MatrixAccessException
        • com.numericalmethod.suanshu.algebra.linear.matrix.MatrixMismatchException
        • com.numericalmethod.suanshu.algebra.linear.matrix.MatrixSingularityException
        • com.numericalmethod.suanshu.analysis.differentialequation.UnsatisfiableErrorCriterionException
        • com.numericalmethod.suanshu.algebra.linear.vector.VectorAccessException
        • com.numericalmethod.suanshu.algebra.linear.vector.VectorSizeMismatch
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.SOCPPortfolioConstraint.ConstraintViolationException
  • com.numericalmethod.suanshu.combinatorics.Ties<T>
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.TopNOptimizationAlgorithm (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.PortfolioOptimizationAlgorithm)
  • com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.TradingPair
  • com.numericalmethod.suanshu.graph.algorithm.traversal.TraversalFromRoots<V> (implements com.numericalmethod.suanshu.graph.algorithm.traversal.GraphTraversal<V>)
    • com.numericalmethod.suanshu.graph.algorithm.traversal.BFS<V> (implements com.numericalmethod.suanshu.graph.algorithm.traversal.GraphTraversal<V>)
    • com.numericalmethod.suanshu.graph.algorithm.traversal.DFS<V> (implements com.numericalmethod.suanshu.graph.algorithm.traversal.GraphTraversal<V>)
  • com.numericalmethod.suanshu.stats.distribution.univariate.TriangularDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.TridiagonalDeflationSearch
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.diagonalization.TriDiagonalization
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.diagonal.TridiagonalMatrix
  • com.numericalmethod.suanshu.geometry.TrigMath
  • com.numericalmethod.suanshu.analysis.function.tuple.Triple
  • com.numericalmethod.suanshu.stats.distribution.univariate.TruncatedNormalDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.combinatorics.Twiddle<T> (implements java.lang.Iterable<T>)
  • com.numericalmethod.suanshu.stats.regression.linear.lasso.UnconstrainedLASSObyCoordinateDescent (implements com.numericalmethod.suanshu.stats.regression.linear.LinearModel)
  • com.numericalmethod.suanshu.stats.regression.linear.lasso.UnconstrainedLASSObyQP (implements com.numericalmethod.suanshu.stats.regression.linear.LinearModel)
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.UniformDistributionOverBox (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.optimization.multivariate.initialization.UniformDistributionOverBox1 (implements com.numericalmethod.suanshu.optimization.multivariate.initialization.InitialsFactory)
  • com.numericalmethod.suanshu.optimization.multivariate.initialization.UniformDistributionOverBox2 (implements com.numericalmethod.suanshu.optimization.multivariate.initialization.InitialsFactory)
  • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.firstgeneration.UniformMeshOverRegion (implements com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.firstgeneration.FirstGeneration)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.UniformRNG (implements com.numericalmethod.suanshu.stats.random.rng.univariate.RandomLongGenerator)
  • com.numericalmethod.suanshu.stats.stochasticprocess.timegrid.UnitGrid (implements com.numericalmethod.suanshu.stats.stochasticprocess.timegrid.TimeGrid)
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.UnivariateTimeSeries.Entry<T> (implements com.numericalmethod.suanshu.stats.timeseries.datastructure.TimeSeries.Entry<T,V>)
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.inttime.IntTimeTimeSeries.Entry
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.Realization.Entry
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.UnivariateTimeSeriesUtils
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix (implements com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.beta.VanDerWaerden1969 (implements com.numericalmethod.suanshu.stats.random.rng.univariate.beta.RandomBetaGenerator)
  • com.numericalmethod.suanshu.stats.descriptive.moment.Variance (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima.VARIMASim (implements com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima.VARIMAXModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima.VARIMAModel
      • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARMAModel
        • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARModel
          • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.fit.SimpleAR1Fit (implements com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.fit.ResamplerModel)
          • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARFit
          • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARLinearRepresentation
        • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VMAModel
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARMAXModel
      • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARXModel
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARMAForecastOneStep
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECM
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECMLongrun
    • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECMTransitory
  • com.numericalmethod.suanshu.algebra.linear.vector.doubles.operation.VectorFactory
  • com.numericalmethod.suanshu.algebra.linear.vector.doubles.dense.VectorMathOperation
  • com.numericalmethod.suanshu.graph.type.VertexTree<T> (implements com.numericalmethod.suanshu.graph.RootedTree<V,E>)
  • com.numericalmethod.suanshu.stats.hmm.Viterbi
  • com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VMAInvertibility
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.hyperbolic.dim1.WaveEquation1D (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDE)
  • com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.hyperbolic.dim2.WaveEquation2D (implements com.numericalmethod.suanshu.analysis.differentialequation.pde.PDE)
  • com.numericalmethod.suanshu.stats.distribution.univariate.WeibullDistribution (implements com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.descriptive.moment.weighted.WeightedMean (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • com.numericalmethod.suanshu.stats.regression.WeightedRSS
  • com.numericalmethod.suanshu.stats.descriptive.moment.weighted.WeightedVariance (implements com.numericalmethod.suanshu.stats.descriptive.Statistic)
  • 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.rng.univariate.gamma.XiTanLiu2010a (implements com.numericalmethod.suanshu.stats.random.rng.univariate.gamma.RandomGammaGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.gamma.XiTanLiu2010b (implements com.numericalmethod.suanshu.stats.random.rng.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.ZeroDriftVector (implements com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.DriftVector)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.normal.Ziggurat2000 (implements com.numericalmethod.suanshu.stats.random.rng.univariate.normal.RandomStandardNormalGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.exp.Ziggurat2000Exp (implements com.numericalmethod.suanshu.stats.random.rng.univariate.exp.RandomExpGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.univariate.normal.Zignor2005 (implements com.numericalmethod.suanshu.stats.random.rng.univariate.normal.RandomStandardNormalGenerator)
    • com.numericalmethod.suanshu.stats.random.rng.univariate.normal.StandardNormalRNG

Interface Hierarchy

• com.numericalmethod.suanshu.algebra.structure.AbelianGroup<G>
  • com.numericalmethod.suanshu.algebra.structure.BanachSpace<B,F>
    • com.numericalmethod.suanshu.algebra.structure.HilbertSpace<H,F>
      • com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector (also extends com.numericalmethod.suanshu.misc.DeepCopyable)
    • com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.structure.HilbertSpace<H,F>)
  • com.numericalmethod.suanshu.algebra.structure.Field<F>
  • com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrixAccess<F>, com.numericalmethod.suanshu.algebra.structure.Ring<R>, com.numericalmethod.suanshu.misc.datastructure.Table, com.numericalmethod.suanshu.algebra.structure.VectorSpace<V,F>)
  • com.numericalmethod.suanshu.algebra.structure.HilbertSpace<H,F>
    • com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector (also extends com.numericalmethod.suanshu.misc.DeepCopyable)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.structure.Ring<R> (also extends com.numericalmethod.suanshu.algebra.structure.Monoid<G>)
    • com.numericalmethod.suanshu.algebra.structure.Field<F>
    • com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrixAccess<F>, com.numericalmethod.suanshu.misc.datastructure.Table, com.numericalmethod.suanshu.algebra.structure.VectorSpace<V,F>)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
        • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.structure.HilbertSpace<H,F>)
  • com.numericalmethod.suanshu.algebra.structure.VectorSpace<V,F>
    • com.numericalmethod.suanshu.algebra.structure.BanachSpace<B,F>
      • com.numericalmethod.suanshu.algebra.structure.HilbertSpace<H,F>
        • com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector (also extends com.numericalmethod.suanshu.misc.DeepCopyable)
      • com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.structure.HilbertSpace<H,F>)
    • com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrixAccess<F>, com.numericalmethod.suanshu.algebra.structure.Ring<R>, com.numericalmethod.suanshu.misc.datastructure.Table)
    • com.numericalmethod.suanshu.algebra.structure.HilbertSpace<H,F>
      • com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector (also extends com.numericalmethod.suanshu.misc.DeepCopyable)
    • com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.structure.HilbertSpace<H,F>)
• com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector
• com.numericalmethod.suanshu.misc.algorithm.bb.ActiveList
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.annealingfunction.AnnealingFunction
• com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAFit
• com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.BackwardElimination.Step
• com.numericalmethod.suanshu.misc.algorithm.bb.BBNode
• com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BicubicInterpolation.PartialDerivatives
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.diagonalization.BiDiagonalization
• com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BivariateGrid
• com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.BivariateGridInterpolation
• 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)
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.Ceta.PortfolioMomentsEstimator
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky
• java.lang.Comparable<T>
  • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.Chromosome
• com.numericalmethod.suanshu.number.doublearray.CompositeDoubleArrayOperation.ImplementationChooser
• com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.Constraints
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.EqualityConstraints
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.GreaterThanConstraints
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.constraint.LessThanConstraints
• com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.ContinuedFraction.Partials
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.Corvalan2005.WeightsConstraint
• com.numericalmethod.suanshu.stats.covariance.covarianceselection.CovarianceSelectionSolver
• com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.CubicHermite.Tangent
• com.numericalmethod.suanshu.analysis.curvefit.CurveFitting
  • com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.Interpolation
• com.numericalmethod.suanshu.misc.DeepCopyable
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.linear.vector.doubles.Vector (also extends com.numericalmethod.suanshu.algebra.structure.HilbertSpace<H,F>)
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.DefaultDeflationCriterion.MatrixNorm
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.qr.DeflationCriterion
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplication
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplicationByBlock.BlockAlgorithm
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
• com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.problem.DerivativeFunction
• com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.DiffusionMatrix
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.discrete.DiscreteSDE
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.corvalan2005.diversification.DiversificationMeasure
• com.numericalmethod.suanshu.number.doublearray.DoubleArrayOperation
• com.numericalmethod.suanshu.number.DoubleUtils.ifelse
• com.numericalmethod.suanshu.number.DoubleUtils.which
• com.numericalmethod.suanshu.stats.random.Estimator
  • com.numericalmethod.suanshu.stats.random.variancereduction.ControlVariates.Estimator
• com.numericalmethod.suanshu.finance.trading.meanreversion.daspremont2008.ExtremalGeneralizedEigenvalueSolver
• com.numericalmethod.suanshu.stats.evt.exi.ExtremalIndexEstimation
• com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.Filter
• com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.firstgeneration.FirstGeneration
• com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection.ForwardSelection.Step
• 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.DriftVector
• com.numericalmethod.suanshu.analysis.function.Function<D,R>
  • com.numericalmethod.suanshu.analysis.function.rn2r1.BivariateRealFunction
  • com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarFunction
    • com.numericalmethod.suanshu.analysis.function.rn2r1.BivariateRealFunction
    • com.numericalmethod.suanshu.analysis.function.rn2r1.TrivariateRealFunction
    • com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.UnivariateRealFunction
  • com.numericalmethod.suanshu.analysis.function.rn2rm.RealVectorFunction
  • com.numericalmethod.suanshu.analysis.function.matrix.RntoMatrix
  • com.numericalmethod.suanshu.analysis.function.rn2r1.TrivariateRealFunction
  • com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.UnivariateRealFunction
• com.numericalmethod.suanshu.analysis.function.special.gamma.Gamma
• com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.GaussianQuadratureRule
• com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrixAccess<F>
  • com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends com.numericalmethod.suanshu.algebra.structure.Ring<R>, com.numericalmethod.suanshu.misc.datastructure.Table, com.numericalmethod.suanshu.algebra.structure.VectorSpace<V,F>)
• com.numericalmethod.suanshu.graph.community.GirvanNewman.EdgeBetweenessCtor<V>
• com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.GLMExponentialDistribution
  • com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiDistribution
• com.numericalmethod.suanshu.stats.regression.linear.glm.GLMFitting
• com.numericalmethod.suanshu.graph.Graph<V,E>
  • com.numericalmethod.suanshu.graph.DAGraph<V,E>
    • com.numericalmethod.suanshu.graph.RootedTree<V,E> (also extends com.numericalmethod.suanshu.graph.Tree<V,E>)
  • com.numericalmethod.suanshu.graph.DiGraph<V,E>
    • com.numericalmethod.suanshu.graph.DAGraph<V,E>
      • com.numericalmethod.suanshu.graph.RootedTree<V,E> (also extends com.numericalmethod.suanshu.graph.Tree<V,E>)
    • com.numericalmethod.suanshu.graph.RootedTree<V,E> (also extends com.numericalmethod.suanshu.graph.DAGraph<V,E>, com.numericalmethod.suanshu.graph.Tree<V,E>)
  • com.numericalmethod.suanshu.graph.Forest<V,E>
  • com.numericalmethod.suanshu.graph.RootedTree<V,E> (also extends com.numericalmethod.suanshu.graph.DAGraph<V,E>, com.numericalmethod.suanshu.graph.Tree<V,E>)
  • com.numericalmethod.suanshu.graph.Tree<V,E>
    • com.numericalmethod.suanshu.graph.Forest<V,E>
    • com.numericalmethod.suanshu.graph.RootedTree<V,E> (also extends com.numericalmethod.suanshu.graph.DAGraph<V,E>)
  • com.numericalmethod.suanshu.graph.UnDiGraph<V,E>
• com.numericalmethod.suanshu.graph.algorithm.traversal.GraphTraversal<V>
• com.numericalmethod.suanshu.graph.GraphUtils.EdgeFactory<V,N,E,X>
• com.numericalmethod.suanshu.graph.GraphUtils.GraphFactory<G>
• com.numericalmethod.suanshu.optimization.univariate.GridSearchMinimizer.GridDefinition
• com.numericalmethod.suanshu.graph.HyperEdge<V>
  • com.numericalmethod.suanshu.graph.Arc<V>
    • com.numericalmethod.suanshu.graph.WeightedArc<V> (also extends com.numericalmethod.suanshu.graph.WeightedEdge<V>)
  • com.numericalmethod.suanshu.graph.Edge<V>
    • com.numericalmethod.suanshu.graph.Arc<V>
      • com.numericalmethod.suanshu.graph.WeightedArc<V> (also extends com.numericalmethod.suanshu.graph.WeightedEdge<V>)
    • com.numericalmethod.suanshu.graph.UndirectedEdge<V>
    • com.numericalmethod.suanshu.graph.WeightedArc<V> (also extends com.numericalmethod.suanshu.graph.Arc<V>, com.numericalmethod.suanshu.graph.WeightedEdge<V>)
  • com.numericalmethod.suanshu.graph.UndirectedEdge<V>
  • com.numericalmethod.suanshu.graph.WeightedArc<V> (also extends com.numericalmethod.suanshu.graph.Arc<V>, com.numericalmethod.suanshu.graph.WeightedEdge<V>)
  • com.numericalmethod.suanshu.graph.WeightedEdge<V>
    • com.numericalmethod.suanshu.graph.WeightedArc<V> (also extends com.numericalmethod.suanshu.graph.Arc<V>)
• com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.bb.ILPBranchAndBoundMinimizer.ActiveListFactory
• com.numericalmethod.suanshu.optimization.multivariate.initialization.InitialsFactory
• com.numericalmethod.suanshu.optimization.multivariate.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.algebra.linear.matrix.doubles.factorization.eigen.InverseIteration.StoppingCriterion
• java.lang.Iterable<T>
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.inttime.IntTimeTimeSeries
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.inttime.MultivariateIntTimeTimeSeries
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.MultivariateRealization
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.MultivariateTimeSeries<T,E>
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.inttime.MultivariateIntTimeTimeSeries
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.MultivariateRealization
  • com.numericalmethod.suanshu.stats.distribution.discrete.ProbabilityMassFunction<X>
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.Realization
  • com.numericalmethod.suanshu.stats.stochasticprocess.timegrid.TimeGrid
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.TimeSeries<T,V,E>
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.inttime.IntTimeTimeSeries
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.inttime.MultivariateIntTimeTimeSeries
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.MultivariateRealization
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.MultivariateTimeSeries<T,E>
      • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.inttime.MultivariateIntTimeTimeSeries
      • com.numericalmethod.suanshu.stats.timeseries.datastructure.multivariate.realtime.MultivariateRealization
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.Realization
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.UnivariateTimeSeries<T,E>
      • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.inttime.IntTimeTimeSeries
      • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.Realization
  • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.UnivariateTimeSeries<T,E>
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.inttime.IntTimeTimeSeries
    • com.numericalmethod.suanshu.stats.timeseries.datastructure.univariate.realtime.Realization
• com.numericalmethod.suanshu.misc.parallel.IterationBody<T>
• com.numericalmethod.suanshu.misc.algorithm.iterative.monitor.IterationMonitor<S>
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver
• com.numericalmethod.suanshu.misc.algorithm.iterative.IterativeMethod<S>
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Maximizer.Solution (also extends com.numericalmethod.suanshu.optimization.MaximizationSolution<T>)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver.Solution
  • com.numericalmethod.suanshu.optimization.IterativeSolution<S> (also extends com.numericalmethod.suanshu.optimization.MinimizationSolution<T>)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.SubProblemMinimizer.IterativeSolution<Vector>
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.SubProblemMinimizer.IterativeSolution<Vector>
• com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.F
• com.numericalmethod.suanshu.analysis.curvefit.LeastSquares.Weighting
• com.numericalmethod.suanshu.stats.regression.linear.LinearModel
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.LinearSystemSolver.Solution
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.linesearch.LineSearch.Solution
• com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.LinkFunction
• com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.local.LocalSearchCellFactory.MinimizerFactory<U>
• com.numericalmethod.suanshu.misc.parallel.LoopBody
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.LUDecomposition
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation
• com.numericalmethod.suanshu.optimization.MaximizationSolution<T>
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Maximizer.Solution (also extends com.numericalmethod.suanshu.misc.algorithm.iterative.IterativeMethod<S>)
• com.numericalmethod.suanshu.stats.evt.evd.univariate.fitting.MaximumLikelihoodFitting
• com.numericalmethod.suanshu.stats.random.MeanEstimator
• com.numericalmethod.suanshu.finance.trading.meanreversion.volarb.MeanEstimator
• com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis.MetropolisHastings.ProposalDensityFunction
• com.numericalmethod.suanshu.optimization.MinimizationSolution<T>
  • com.numericalmethod.suanshu.optimization.IterativeSolution<S> (also extends com.numericalmethod.suanshu.misc.algorithm.iterative.IterativeMethod<S>)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.SubProblemMinimizer.IterativeSolution<Vector>
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.LPMinimizer
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexMinimizer
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexMinimizer
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexSolution
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.LPSolution<T>
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexSolution
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.SubProblemMinimizer.IterativeSolution<Vector>
  • com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer.Solution
• com.numericalmethod.suanshu.optimization.multivariate.minmax.MinMaxProblem<T>
• com.numericalmethod.suanshu.stats.hmm.mixture.distribution.MixtureDistribution
• com.numericalmethod.suanshu.algebra.structure.Monoid<G>
  • com.numericalmethod.suanshu.algebra.structure.Field<F>
  • com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrixAccess<F>, com.numericalmethod.suanshu.algebra.structure.Ring<R>, com.numericalmethod.suanshu.misc.datastructure.Table, com.numericalmethod.suanshu.algebra.structure.VectorSpace<V,F>)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.structure.Ring<R> (also extends com.numericalmethod.suanshu.algebra.structure.AbelianGroup<G>)
    • com.numericalmethod.suanshu.algebra.structure.Field<F>
    • com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrixAccess<F>, com.numericalmethod.suanshu.misc.datastructure.Table, com.numericalmethod.suanshu.algebra.structure.VectorSpace<V,F>)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
        • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
• com.numericalmethod.suanshu.finance.trading.meanreversion.volarb.MRModel
• com.numericalmethod.suanshu.misc.datastructure.MultiDimensionalCollection<T>
• com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.discrete.MultivariateDiscreteSDE
• com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.MultivariateGrid
• com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.MultivariateGridInterpolation
• com.numericalmethod.suanshu.stats.distribution.multivariate.MultivariateProbabilityDistribution
  • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVD (also extends com.numericalmethod.suanshu.stats.distribution.multivariate.BivariateProbabilityDistribution, com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.stats.distribution.multivariate.BivariateProbabilityDistribution
    • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVD (also extends com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.optimizer.MVOptimizer
• com.numericalmethod.suanshu.number.NumberUtils.Comparable<T>
• com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.ODEIntegrator
• com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.ODESolver
• com.numericalmethod.suanshu.analysis.curvefit.interpolation.OnlineInterpolator
• com.numericalmethod.suanshu.optimization.Optimizer<P,S>
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.BoxMinimizer<P,S>
  • com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.maximizer.CetaMaximizer
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedMinimizer<P,S>
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.BoxMinimizer<P,S>
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPMinimizer<T,S>
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Minimizer
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.IterativeMinimizer<P>
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Minimizer
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.linesearch.LineSearch
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
  • com.numericalmethod.suanshu.optimization.Maxmizer<P,S>
  • com.numericalmethod.suanshu.optimization.Minimizer<P,S>
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.BoxMinimizer<P,S>
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedMinimizer<P,S>
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.BoxMinimizer<P,S>
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
        • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPMinimizer<T,S>
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Minimizer
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.IterativeMinimizer<P>
      • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Minimizer
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.MultivariateMinimizer<P,S>
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPMinimizer<T,S>
      • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Minimizer
      • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.IterativeMinimizer<P>
        • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Minimizer
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer
    • com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer
  • com.numericalmethod.suanshu.optimization.multivariate.minmax.MinMaxMinimizer<T>
  • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.MultivariateMinimizer<P,S>
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPMinimizer<T,S>
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Minimizer
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.IterativeMinimizer<P>
      • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.IterativeC2Minimizer
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer
  • com.numericalmethod.suanshu.optimization.univariate.UnivariateMinimizer
• 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.multivariate.constrained.problem.ConstrainedOptimProblem
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedOptimSubProblem
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPProblem, com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPProblem
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem
      • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPProblem)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.ConstrainedOptimSubProblem
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPProblem, com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPProblem
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
  • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.problem.ILPProblem (also extends com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.IPProblem)
• com.numericalmethod.suanshu.analysis.function.tuple.OrderedPairs
• com.numericalmethod.suanshu.analysis.integration.univariate.riemann.gaussian.rule.OrthogonalPolynomialFamily
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process.ou.OUFitting
• com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.process.ou.OUProcess
• com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.check.PairingCheck
• com.numericalmethod.suanshu.finance.trading.meanreversion.cointegration.PairingModel
• com.numericalmethod.suanshu.stats.regression.linear.panel.PanelData.Transformation
• com.numericalmethod.suanshu.stats.regression.linear.panel.PanelRegression
• com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block.PattonPolitisWhite2009ForObject.AutoCorrelationForObject
• com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block.PattonPolitisWhite2009ForObject.AutoCovarianceForObject
• com.numericalmethod.suanshu.stats.factor.pca.PCA
• com.numericalmethod.suanshu.analysis.differentialequation.pde.PDE
• com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.PDESolutionGrid2D
• com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.PDESolutionTimeSpaceGrid1D
• com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.PDESolutionTimeSpaceGrid2D
• com.numericalmethod.suanshu.analysis.differentialequation.pde.PDESolver
• com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod.PenaltyMethodMinimizer.PenaltyFunctionFactory
• com.numericalmethod.suanshu.geometry.polyline.PolygonalChain
• com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRootSolver
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.PortfolioOptimizationAlgorithm
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.PortfolioOptimizationAlgorithm.CovarianceEstimator
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.PortfolioOptimizationAlgorithm.MeanEstimator
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.PortfolioOptimizationAlgorithm.SymbolLookup
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.PortfolioRiskExactSigma.MatrixRoot
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.PreconditionerFactory
• com.numericalmethod.suanshu.stats.distribution.univariate.ProbabilityDistribution
  • com.numericalmethod.suanshu.stats.evt.evd.univariate.UnivariateEVD
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.QPSolution
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.qr.QRDecomposition
• com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRoot.QuarticSolver
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.fit.ResamplerModel
• com.numericalmethod.suanshu.finance.trading.returns.ReturnsCalculator
• com.numericalmethod.suanshu.finance.trading.returns.moments.ReturnsMoments.Estimator
• com.numericalmethod.suanshu.finance.trading.portfoliooptimization.lai2010.ceta.npeb.resampler.ReturnsResamplerFactory
• com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper
• com.numericalmethod.suanshu.stats.random.Seedable
  • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVD (also extends com.numericalmethod.suanshu.stats.distribution.multivariate.BivariateProbabilityDistribution, com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator)
  • com.numericalmethod.suanshu.stats.random.rng.concurrent.cache.ConcurrentCachedGenerator.Generator<T>
  • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.LinearCongruentialGenerator
  • com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.random.MultivariateRandomRealizationGenerator
  • com.numericalmethod.suanshu.stats.random.sampler.resampler.multivariate.MultivariateResampler
  • com.numericalmethod.suanshu.stats.random.sampler.resampler.ObjectResampler<X>
  • com.numericalmethod.suanshu.stats.random.rng.univariate.beta.RandomBetaGenerator
  • com.numericalmethod.suanshu.stats.random.rng.univariate.exp.RandomExpGenerator
  • com.numericalmethod.suanshu.stats.random.rng.univariate.gamma.RandomGammaGenerator
  • com.numericalmethod.suanshu.stats.random.rng.univariate.RandomLongGenerator
    • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.LinearCongruentialGenerator
  • com.numericalmethod.suanshu.stats.random.rng.univariate.RandomNumberGenerator
    • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.LinearCongruentialGenerator
    • com.numericalmethod.suanshu.stats.random.rng.univariate.beta.RandomBetaGenerator
    • com.numericalmethod.suanshu.stats.random.rng.univariate.exp.RandomExpGenerator
    • com.numericalmethod.suanshu.stats.random.rng.univariate.gamma.RandomGammaGenerator
    • com.numericalmethod.suanshu.stats.random.rng.univariate.RandomLongGenerator
      • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.linear.LinearCongruentialGenerator
    • com.numericalmethod.suanshu.stats.random.rng.univariate.normal.RandomStandardNormalGenerator
  • com.numericalmethod.suanshu.stats.stochasticprocess.univariate.random.RandomRealizationGenerator
  • com.numericalmethod.suanshu.stats.random.rng.univariate.normal.RandomStandardNormalGenerator
  • com.numericalmethod.suanshu.stats.random.rng.multivariate.RandomVectorGenerator
    • com.numericalmethod.suanshu.stats.evt.evd.bivariate.BivariateEVD (also extends com.numericalmethod.suanshu.stats.distribution.multivariate.BivariateProbabilityDistribution)
  • com.numericalmethod.suanshu.stats.random.sampler.resampler.Resampler
• com.numericalmethod.suanshu.analysis.sequence.Sequence
• com.numericalmethod.suanshu.graph.algorithm.shortestpath.ShortestPath<V>
• com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer.NewCellFactoryCtor
  • com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.DEOptim.NewCellFactory
• com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.cuttingplane.SimplexCuttingPlaneMinimizer.CutterFactory
• com.numericalmethod.suanshu.optimization.multivariate.constrained.integer.linear.cuttingplane.SimplexCuttingPlaneMinimizer.CutterFactory.Cutter
• com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SimplexPivoting
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix)
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.Spectrum
• com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.SQPActiveSetMinimizer.VariationFactory
• com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetOnlyEqualityConstraint1Minimizer.VariationFactory
• com.numericalmethod.suanshu.optimization.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation
• com.numericalmethod.suanshu.optimization.multivariate.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.misc.algorithm.stopcondition.StopCondition
• com.numericalmethod.suanshu.optimization.multivariate.constrained.SubProblemMinimizer.ConstrainedMinimizerFactory<U>
• com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.SubstitutionRule
• com.numericalmethod.suanshu.analysis.sequence.Summation.Term
• com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition
• com.numericalmethod.suanshu.misc.datastructure.Table
  • com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends com.numericalmethod.suanshu.algebra.linear.matrix.generic.GenericMatrixAccess<F>, com.numericalmethod.suanshu.algebra.structure.Ring<R>, com.numericalmethod.suanshu.algebra.structure.VectorSpace<V,F>)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixAccess
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable)
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable (also extends com.numericalmethod.suanshu.misc.datastructure.Table)
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing)
        • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixTable (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixAccess)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix (also extends com.numericalmethod.suanshu.misc.DeepCopyable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.MatrixRing)
      • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
  • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.Matrix, com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.temperaturefunction.TemperatureFunction
• com.numericalmethod.suanshu.optimization.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.TemperedAcceptanceProbabilityFunction
• com.numericalmethod.suanshu.stats.timeseries.datastructure.TimeSeries.Entry<T,V>
• com.numericalmethod.suanshu.misc.algorithm.iterative.tolerance.Tolerance
• com.numericalmethod.suanshu.analysis.root.univariate.Uniroot

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • com.numericalmethod.suanshu.interval.IntervalRelation
    • com.numericalmethod.suanshu.stats.descriptive.rank.Quantile.QuantileType
    • com.numericalmethod.suanshu.stats.descriptive.rank.Rank.TiesMethod
    • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.UniformRNG.Method
    • com.numericalmethod.suanshu.stats.random.rng.univariate.uniform.mersennetwister.dynamiccreation.MersenneExponent
    • com.numericalmethod.suanshu.graph.algorithm.traversal.DFS.Node.Color
    • com.numericalmethod.suanshu.number.DoubleUtils.RoundingScheme
    • com.numericalmethod.suanshu.optimization.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.SimplexTable.LabelType
    • com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescent.FirstOrderMinimizer.Method
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.Dfdx.Method
    • com.numericalmethod.suanshu.analysis.differentiation.univariate.FiniteDifference.Type
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.PowerLawSingularity.PowerLawSingularityType
    • com.numericalmethod.suanshu.analysis.integration.univariate.riemann.newtoncotes.NewtonCotes.Type
    • com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.CubicHermite.Tangents (implements com.numericalmethod.suanshu.analysis.curvefit.interpolation.univariate.CubicHermite.Tangent)
    • com.numericalmethod.suanshu.analysis.function.special.gamma.LogGamma.Method
    • com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.MovingAverage.Side
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.svd.SVD.Method
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.eigen.Eigen.Method
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix.BidiagonalMatrixType
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseVector.Entry.Comparator (implements java.util.Comparator<T>)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix.Entry.TopLeftFirstComparator (implements java.util.Comparator<T>)
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.ConvergenceFailure.Reason
    • com.numericalmethod.suanshu.algebra.linear.matrix.doubles.linearsystem.Kernel.Method
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCHFit.GRADIENT
    • com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.SampleAutoCovariance.Type
    • com.numericalmethod.suanshu.stats.factor.factoranalysis.FactorAnalysis.ScoringRule
    • com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.Test
    • com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution.TrendType
    • com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block.PattonPolitisWhite2009ForObject.Type
    • com.numericalmethod.suanshu.stats.test.distribution.pearson.ChiSquareIndependenceTest.Type
    • 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.variance.Levene.Type
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFAsymptoticDistribution1.Type
    • com.numericalmethod.suanshu.stats.test.timeseries.adf.TrendType
    • com.numericalmethod.suanshu.stats.evt.markovchain.ExtremeValueMC.MarginalDistributionType
    • com.numericalmethod.suanshu.finance.trading.meanreversion.hvolatility.Kagi.Trend
    • com.numericalmethod.suanshu.finance.trading.returns.ReturnsCalculators (implements com.numericalmethod.suanshu.finance.trading.returns.ReturnsCalculator)
    • com.numericalmethod.suanshu.finance.trading.infantino2010.Infantino2010Regime.Regime