Class Hierarchy
- java.lang.Object
- dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector1 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector)
- dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector2 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector)
- dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector3 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector)
- dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector4 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector)
- dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector5 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector)
- dev.nm.misc.algorithm.iterative.tolerance.AbsoluteTolerance (implements dev.nm.misc.algorithm.iterative.tolerance.Tolerance)
- dev.nm.stat.distribution.multivariate.AbstractBivariateProbabilityDistribution (implements dev.nm.stat.distribution.multivariate.BivariateProbabilityDistribution)
- dev.nm.stat.random.rng.multivariate.mcmc.metropolis.AbstractMetropolis (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- dev.nm.analysis.function.rn2r1.AbstractRealScalarFunction (implements dev.nm.analysis.function.rn2r1.RealScalarFunction)
- dev.nm.analysis.function.rn2rm.AbstractRealVectorFunction (implements dev.nm.analysis.function.rn2rm.RealVectorFunction)
- dev.nm.stat.evt.evd.univariate.fitting.acer.ACERAnalysis
- dev.nm.stat.evt.evd.univariate.fitting.acer.ACERAnalysis.Result
- dev.nm.stat.evt.evd.univariate.fitting.acer.empirical.ACERByCounting
- dev.nm.stat.evt.evd.univariate.fitting.acer.ACERConfidenceInterval
- dev.nm.stat.evt.evd.univariate.fitting.acer.ACERFunction.ACERParameter
- dev.nm.stat.evt.evd.univariate.fitting.acer.empirical.ACERUtils
- dev.nm.misc.algorithm.ActiveSet
- dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.AdamsBashforthMoulton (implements dev.nm.analysis.differentialequation.ode.ivp.solver.ODESolver)
- dev.nm.stat.test.timeseries.adf.table.ADFDistributionTable
- dev.nm.misc.algorithm.stopcondition.AfterIterations (implements dev.nm.misc.algorithm.stopcondition.StopCondition)
- dev.nm.misc.algorithm.stopcondition.AfterNoImprovement (implements dev.nm.misc.algorithm.stopcondition.StopCondition)
- tech.nmfin.meanreversion.daspremont2008.AhatEstimation
- dev.nm.analysis.differentialequation.pde.finitedifference.parabolic.dim2.AlternatingDirectionImplicitMethod (implements dev.nm.analysis.differentialequation.pde.PDESolver)
- dev.nm.stat.test.distribution.AndersonDarlingPValue
- dev.nm.misc.algorithm.stopcondition.AndStopConditions (implements dev.nm.misc.algorithm.stopcondition.StopCondition)
- dev.nm.stat.random.variancereduction.AntitheticVariates (implements dev.nm.stat.random.MeanEstimator)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.interiorpoint.AntoniouLu2007
- dev.nm.misc.ArgumentAssertion
- dev.nm.stat.timeseries.linear.univariate.arima.ARIMAForecast
- dev.nm.stat.timeseries.linear.univariate.arima.ARIMAForecast.Forecast
- dev.nm.stat.timeseries.linear.univariate.arima.ARIMAForecastMultiStep
- dev.nm.stat.timeseries.linear.univariate.arima.ARIMASim (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.timeseries.linear.univariate.arima.ARIMAXModel
- dev.nm.stat.timeseries.linear.univariate.arima.ARIMAModel
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.arma.ARMAModel
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.arma.ARModel
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.arma.MAModel
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.arma.ARMAXModel
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.arma.ARMAForecast
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.arma.ARMAForecastMultiStep
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.arma.ARMAForecastOneStep
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.armagarch.ARMAGARCHFit
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.armagarch.ARMAGARCHModel
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.armagarch.AR1GARCH11Model
- dev.nm.misc.ArrayUtils
- dev.nm.stat.test.distribution.pearson.AS159 (implements dev.nm.stat.random.Seedable)
- dev.nm.stat.test.distribution.pearson.AS159.RandomMatrix
- dev.nm.misc.algorithm.stopcondition.AtThreshold (implements dev.nm.misc.algorithm.stopcondition.StopCondition)
- dev.nm.stat.timeseries.linear.univariate.arima.AutoARIMAFit
- dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.AutoParallelMatrixMathOperation (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation)
- dev.nm.algebra.linear.matrix.doubles.linearsystem.BackwardSubstitution
- dev.nm.stat.random.rng.univariate.BernoulliTrial (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.distribution.univariate.BetaDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.hmm.mixture.distribution.BetaMixtureDistribution (implements dev.nm.stat.hmm.mixture.distribution.MixtureDistribution)
- dev.nm.stat.hmm.mixture.distribution.BetaMixtureDistribution.Lambda
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientStabilizedSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.analysis.curvefit.interpolation.bivariate.BicubicInterpolation (implements dev.nm.analysis.curvefit.interpolation.bivariate.BivariateGridInterpolation)
- dev.nm.analysis.curvefit.interpolation.bivariate.BicubicSpline (implements dev.nm.analysis.curvefit.interpolation.bivariate.BivariateGridInterpolation)
- dev.nm.algebra.linear.matrix.doubles.factorization.diagonalization.BiDiagonalizationByGolubKahanLanczos (implements dev.nm.algebra.linear.matrix.doubles.factorization.diagonalization.BiDiagonalization)
- dev.nm.algebra.linear.matrix.doubles.factorization.diagonalization.BiDiagonalizationByHouseholder (implements dev.nm.algebra.linear.matrix.doubles.factorization.diagonalization.BiDiagonalization)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix
- dev.nm.algebra.linear.matrix.doubles.factorization.svd.mr3.BidiagonalSVDbyMR3 (implements dev.nm.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition)
- dev.nm.number.big.BigDecimalUtils
- dev.nm.number.big.BigIntegerUtils
- dev.nm.analysis.curvefit.interpolation.bivariate.BilinearInterpolation (implements dev.nm.analysis.curvefit.interpolation.bivariate.BivariateGridInterpolation)
- dev.nm.stat.distribution.univariate.BinomialDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.hmm.mixture.distribution.BinomialMixtureDistribution (implements dev.nm.stat.hmm.mixture.distribution.MixtureDistribution)
- dev.nm.stat.hmm.mixture.distribution.BinomialMixtureDistribution.Lambda
- dev.nm.stat.random.rng.univariate.BinomialRNG (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.misc.algorithm.Bins<T>
- dev.nm.analysis.root.univariate.BisectionRoot (implements dev.nm.analysis.root.univariate.Uniroot)
- dev.nm.analysis.curvefit.interpolation.bivariate.BivariateArrayGrid (implements dev.nm.analysis.curvefit.interpolation.bivariate.BivariateGrid)
- dev.nm.analysis.curvefit.interpolation.bivariate.BivariateRegularGrid (implements dev.nm.analysis.curvefit.interpolation.bivariate.BivariateGrid)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3.BlockSplitPointSearch
- dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.BlockWinogradAlgorithm (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplicationByBlock.BlockAlgorithm)
- dev.nm.stat.stochasticprocess.univariate.sde.discrete.BMSDE (implements dev.nm.stat.stochasticprocess.univariate.sde.discrete.DiscreteSDE)
- dev.nm.stat.random.sampler.resampler.BootstrapEstimator
- dev.nm.graph.algorithm.traversal.BottomUp<V> (implements dev.nm.graph.algorithm.traversal.GraphTraversal<V>)
- dev.nm.solver.multivariate.constrained.constraint.linear.BoxConstraints
- dev.nm.solver.multivariate.constrained.constraint.linear.BoxConstraints.Bound (implements java.lang.Comparable<T>)
- dev.nm.solver.multivariate.constrained.general.box.BoxGeneralizedSimulatedAnnealingMinimizer (implements dev.nm.solver.multivariate.constrained.BoxMinimizer<P,S>)
- dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.BoxGSAAcceptanceProbabilityFunction (implements dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.TemperedAcceptanceProbabilityFunction)
- dev.nm.solver.multivariate.unconstrained.annealing.annealingfunction.BoxGSAAnnealingFunction (implements dev.nm.solver.multivariate.unconstrained.annealing.annealingfunction.AnnealingFunction)
- dev.nm.stat.random.rng.univariate.normal.BoxMuller (implements dev.nm.stat.random.rng.univariate.normal.RandomStandardNormalGenerator)
- dev.nm.solver.multivariate.constrained.problem.BoxOptimProblem (implements dev.nm.solver.multivariate.constrained.problem.ConstrainedOptimProblem)
- dev.nm.solver.univariate.bracketsearch.BracketSearchMinimizer (implements dev.nm.solver.univariate.UnivariateMinimizer)
- dev.nm.solver.univariate.bracketsearch.BracketSearchMinimizer.Solution (implements dev.nm.solver.univariate.UnivariateMinimizer.Solution)
- dev.nm.misc.algorithm.bb.BranchAndBound (implements dev.nm.misc.algorithm.iterative.IterativeMethod<S>, dev.nm.solver.MinimizationSolution<T>)
- tech.nmfin.portfoliooptimization.lai2010.ceta.maximizer.BrentCetaMaximizer (implements tech.nmfin.portfoliooptimization.lai2010.ceta.maximizer.CetaMaximizer)
- dev.nm.analysis.root.univariate.BrentRoot (implements dev.nm.analysis.root.univariate.Uniroot)
- dev.nm.misc.algorithm.BruteForce<D,R>
- dev.nm.solver.multivariate.constrained.integer.bruteforce.BruteForceIPMinimizer (implements dev.nm.solver.multivariate.constrained.integer.IPMinimizer<T,S>)
- dev.nm.solver.multivariate.constrained.integer.bruteforce.BruteForceIPMinimizer.Solution (implements dev.nm.solver.MinimizationSolution<T>)
- dev.nm.solver.multivariate.constrained.integer.bruteforce.BruteForceIPProblem.IntegerDomain
- dev.nm.solver.multivariate.unconstrained.BruteForceMinimizer<R> (implements dev.nm.solver.Optimizer<P,S>)
- dev.nm.solver.multivariate.unconstrained.BruteForceMinimizer.Solution (implements dev.nm.solver.MinimizationSolution<T>)
- dev.nm.analysis.differentialequation.ode.ivp.solver.extrapolation.BurlischStoerExtrapolation (implements dev.nm.analysis.differentialequation.ode.ivp.solver.ODESolver)
- dev.nm.stat.random.rng.univariate.BurnInRNG (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.random.rng.multivariate.BurnInRVG (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- dev.nm.solver.problem.C2OptimProblemImpl (implements dev.nm.solver.problem.C2OptimProblem)
- dev.nm.misc.algorithm.CartesianProduct<T> (implements java.lang.Iterable<T>)
- dev.nm.stat.random.sampler.resampler.bootstrap.CaseResamplingReplacement (implements dev.nm.stat.random.sampler.resampler.Resampler)
- dev.nm.stat.random.sampler.resampler.bootstrap.CaseResamplingReplacementForObject<X> (implements dev.nm.stat.random.sampler.resampler.ObjectResampler<X>)
- dev.nm.solver.multivariate.constrained.convex.sdp.pathfollowing.CentralPath
- tech.nmfin.portfoliooptimization.lai2010.ceta.Ceta.PortfolioMoments
- tech.nmfin.portfoliooptimization.lai2010.ceta.maximizer.CetaMaximizer.Solution
- dev.nm.analysis.integration.univariate.riemann.ChangeOfVariable (implements dev.nm.analysis.integration.univariate.riemann.Integrator)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.CharacteristicPolynomial (implements dev.nm.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
- dev.nm.analysis.integration.univariate.riemann.gaussian.rule.ChebyshevRule (implements dev.nm.analysis.integration.univariate.riemann.gaussian.rule.GaussianQuadratureRule)
- dev.nm.stat.random.rng.univariate.beta.Cheng1978 (implements dev.nm.stat.random.rng.univariate.beta.RandomBetaGenerator)
- dev.nm.stat.distribution.univariate.ChiSquareDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Chol (implements dev.nm.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky)
- dev.nm.algebra.linear.matrix.doubles.factorization.triangle.cholesky.CholeskyBanachiewicz (implements dev.nm.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky)
- dev.nm.algebra.linear.matrix.doubles.factorization.triangle.cholesky.CholeskyBanachiewiczParallelized (implements dev.nm.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky)
- dev.nm.algebra.linear.matrix.doubles.factorization.triangle.cholesky.CholeskySparse (implements dev.nm.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky)
- dev.nm.algebra.linear.matrix.doubles.factorization.triangle.cholesky.CholeskyWang2006 (implements dev.nm.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky)
- dev.nm.stat.evt.cluster.ClusterAnalyzer
- dev.nm.stat.evt.cluster.Clusters
- dev.nm.stat.evt.cluster.Clusters.Cluster
- dev.nm.stat.cointegration.CointegrationMLE
- dev.nm.algebra.linear.matrix.doubles.operation.ColumnBindMatrix (implements dev.nm.algebra.linear.matrix.doubles.Matrix)
- tech.nmfin.portfoliooptimization.lai2010.ceta.maximizer.CombinedCetaMaximizer (implements tech.nmfin.portfoliooptimization.lai2010.ceta.maximizer.CetaMaximizer)
- dev.nm.algebra.linear.vector.doubles.CombinedVectorByRef
- dev.nm.stat.random.variancereduction.CommonRandomNumbers (implements dev.nm.stat.random.MeanEstimator)
- dev.nm.algebra.linear.matrix.generic.matrixtype.ComplexMatrix (implements dev.nm.algebra.linear.matrix.generic.GenericMatrix<T,F>)
- dev.nm.number.doublearray.CompositeDoubleArrayOperation (implements dev.nm.number.doublearray.DoubleArrayOperation)
- dev.nm.stat.random.rng.univariate.uniform.linear.CompositeLinearCongruentialGenerator (implements dev.nm.stat.random.rng.univariate.uniform.linear.LinearCongruentialGenerator)
- dev.nm.stat.random.rng.concurrent.cache.ConcurrentCachedGenerator<T> (implements dev.nm.stat.random.Seedable)
- dev.nm.stat.random.rng.concurrent.cache.ConcurrentCachedRLG (implements dev.nm.stat.random.rng.univariate.RandomLongGenerator)
- dev.nm.stat.random.rng.concurrent.cache.ConcurrentCachedRNG (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.random.rng.concurrent.cache.ConcurrentCachedRVG (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- dev.nm.stat.random.rng.univariate.normal.ConcurrentStandardNormalRNG (implements dev.nm.stat.random.rng.univariate.normal.RandomStandardNormalGenerator)
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.arma.ConditionalSumOfSquares (implements dev.nm.stat.timeseries.linear.univariate.stationaryprocess.arma.ARMAFit)
- dev.nm.stat.evt.evd.univariate.fitting.ConfidenceInterval
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalErrorSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalResidualSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSquaredSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.stat.stochasticprocess.multivariate.sde.coefficients.ConstantDriftVector (implements dev.nm.stat.stochasticprocess.multivariate.sde.coefficients.DriftVector)
- dev.nm.misc.Constants
- dev.nm.stat.random.rng.ConstantSeeder<T> (implements java.lang.Iterable<T>)
- dev.nm.stat.stochasticprocess.multivariate.sde.coefficients.ConstantSigma1 (implements dev.nm.stat.stochasticprocess.multivariate.sde.coefficients.DiffusionMatrix)
- dev.nm.stat.regression.linear.lasso.ConstrainedLASSObyLARS (implements dev.nm.stat.regression.linear.LinearModel)
- dev.nm.stat.regression.linear.lasso.ConstrainedLASSObyQP (implements dev.nm.stat.regression.linear.LinearModel)
- dev.nm.solver.multivariate.constrained.problem.ConstrainedOptimProblemImpl1 (implements dev.nm.solver.multivariate.constrained.problem.ConstrainedOptimProblem)
- dev.nm.solver.multivariate.constrained.convex.sdp.problem.SDPDualProblem
- dev.nm.solver.multivariate.constrained.constraint.ConstraintsUtils
- dev.nm.stat.random.rng.concurrent.context.ContextRNG<T> (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.random.variancereduction.ControlVariates (implements dev.nm.stat.random.MeanEstimator)
- dev.nm.analysis.differentialequation.pde.finitedifference.parabolic.dim1.convectiondiffusionequation.ConvectionDiffusionEquation1D (implements dev.nm.analysis.differentialequation.pde.PDE)
- tech.nmfin.meanreversion.cointegration.check.CorrelationCheck (implements tech.nmfin.meanreversion.cointegration.check.PairingCheck)
- tech.nmfin.portfoliooptimization.corvalan2005.Corvalan2005
- dev.nm.combinatorics.Counter
- dev.nm.misc.algorithm.iterative.monitor.CountMonitor<S> (implements dev.nm.misc.algorithm.iterative.monitor.IterationMonitor<S>)
- dev.nm.stat.descriptive.covariance.Covariance (implements dev.nm.stat.descriptive.Statistic)
- tech.nmfin.meanreversion.daspremont2008.CovarianceEstimation
- dev.nm.stat.covariance.covarianceselection.lasso.CovarianceSelectionGLASSOFAST (implements dev.nm.stat.covariance.covarianceselection.CovarianceSelectionSolver)
- dev.nm.stat.covariance.covarianceselection.lasso.CovarianceSelectionLASSO (implements dev.nm.stat.covariance.covarianceselection.CovarianceSelectionSolver)
- dev.nm.stat.covariance.covarianceselection.CovarianceSelectionProblem
- dev.nm.analysis.differentialequation.pde.finitedifference.parabolic.dim1.convectiondiffusionequation.CrankNicolsonConvectionDiffusionEquation1D (implements dev.nm.analysis.differentialequation.pde.PDESolver)
- dev.nm.analysis.differentialequation.pde.finitedifference.parabolic.dim1.convectiondiffusionequation.CrankNicolsonConvectionDiffusionEquation1D.Coefficients
- dev.nm.analysis.differentialequation.pde.finitedifference.parabolic.dim1.heatequation.CrankNicolsonHeatEquation1D (implements dev.nm.analysis.differentialequation.pde.PDESolver)
- dev.nm.analysis.differentialequation.pde.finitedifference.parabolic.dim1.heatequation.CrankNicolsonHeatEquation1D.Coefficients
- dev.nm.solver.multivariate.constrained.convex.sdp.pathfollowing.CSDPMinimizer (implements dev.nm.solver.multivariate.constrained.ConstrainedMinimizer<P,S>)
- dev.nm.solver.multivariate.constrained.convex.sdp.pathfollowing.CSDPMinimizer.Solution (implements dev.nm.solver.IterativeSolution<S>)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.CSRSparseMatrix (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix)
- dev.nm.analysis.curvefit.interpolation.univariate.CubicHermite (implements dev.nm.analysis.curvefit.interpolation.univariate.Interpolation)
- dev.nm.analysis.function.polynomial.root.CubicRoot (implements dev.nm.analysis.function.polynomial.root.PolyRootSolver)
- dev.nm.analysis.curvefit.interpolation.univariate.CubicSpline (implements dev.nm.analysis.curvefit.interpolation.univariate.Interpolation)
- tech.nmfin.trend.dai2011.Dai2011HMM
- tech.nmfin.trend.dai2011.Dai2011HMM.ModelParam
- tech.nmfin.trend.dai2011.Dai2011Solver
- tech.nmfin.trend.dai2011.Dai2011Solver.Boundaries
- tech.nmfin.trend.dai2011.Dai2011Solver.Builder
- dev.nm.stat.timeseries.datastructure.DateTimeGenericTimeSeries<V> (implements dev.nm.stat.timeseries.datastructure.TimeSeries<T,V,E>)
- dev.nm.stat.timeseries.datastructure.DateTimeGenericTimeSeries.Entry<V> (implements dev.nm.stat.timeseries.datastructure.TimeSeries.Entry<T,V>)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr.DefaultDeflationCriterion (implements dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr.DeflationCriterion)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.DefaultMatrixStorage (implements dev.nm.algebra.linear.matrix.doubles.MatrixAccess)
- dev.nm.solver.multivariate.initialization.DefaultSimplex (implements dev.nm.solver.multivariate.initialization.InitialsFactory)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr.Deflation
- dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.DenseData (implements dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixAccess)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.DenseMatrix (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplicationByBlock (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplication)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplicationByIjk (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplication)
- dev.nm.algebra.linear.vector.doubles.dense.DenseVector (implements dev.nm.algebra.linear.vector.doubles.Vector)
- dev.nm.analysis.differentiation.multivariate.Gradient
- dev.nm.algebra.linear.matrix.doubles.operation.SVEC
- dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.diagonal.DiagonalMatrix
- dev.nm.algebra.linear.matrix.doubles.operation.DiagonalSum (implements dev.nm.algebra.linear.matrix.doubles.Matrix)
- dev.nm.stat.timeseries.datastructure.univariate.realtime.inttime.DifferencedIntTimeTimeSeries (implements dev.nm.stat.timeseries.datastructure.univariate.realtime.inttime.IntTimeTimeSeries)
- dev.nm.stat.stochasticprocess.multivariate.sde.coefficients.DiffusionSigma (implements dev.nm.stat.stochasticprocess.multivariate.sde.coefficients.DiffusionMatrix)
- dev.nm.stat.stochasticprocess.multivariate.sde.coefficients.ConstantSigma2
- dev.nm.graph.algorithm.shortestpath.Dijkstra<V> (implements dev.nm.graph.algorithm.shortestpath.ShortestPath<V>)
- dev.nm.misc.datastructure.DimensionCheck
- dev.nm.stat.distribution.multivariate.DirichletDistribution (implements dev.nm.stat.distribution.multivariate.MultivariateProbabilityDistribution)
- dev.nm.analysis.curvefit.interpolation.univariate.DividedDifferences
- dev.nm.stat.dlm.univariate.DLM
- dev.nm.stat.dlm.univariate.DLMSeries (implements dev.nm.stat.timeseries.datastructure.TimeSeries<T,V,E>)
- dev.nm.stat.dlm.univariate.DLMSeries.Entry (implements dev.nm.stat.timeseries.datastructure.TimeSeries.Entry<T,V>)
- dev.nm.stat.dlm.univariate.DLMSim
- dev.nm.stat.dlm.univariate.DLMSim.Innovation
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.DOKSparseMatrix (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix)
- dev.nm.algebra.linear.matrix.doubles.factorization.triangle.Doolittle (implements dev.nm.algebra.linear.matrix.doubles.factorization.triangle.LUDecomposition)
- dev.nm.number.doublearray.DoubleArrayMath
- dev.nm.solver.multivariate.unconstrained.DoubleBruteForceMinimizer (implements dev.nm.solver.multivariate.unconstrained.MultivariateMinimizer<P,S>)
- dev.nm.analysis.integration.univariate.riemann.substitution.DoubleExponential (implements dev.nm.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
- dev.nm.number.DoubleUtils
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.dqds.DQDS
- dev.nm.stat.random.rng.univariate.uniform.mersennetwister.dynamiccreation.DynamicCreator (implements java.lang.Iterable<T>)
- dev.nm.graph.community.EdgeBetweeness<V>
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.Eigen (implements dev.nm.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3.EigenBoundUtils
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3.EigenCount
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3.EigenCountInRange
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.EigenDecomposition
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.EigenProperty
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.dqds.EigenvalueByDQDS
- dev.nm.number.complex.ElementaryFunction
- dev.nm.algebra.linear.matrix.doubles.operation.ElementaryOperation (implements dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.stat.regression.linear.glm.modelselection.EliminationByAIC (implements dev.nm.stat.regression.linear.glm.modelselection.BackwardElimination.Step)
- dev.nm.stat.regression.linear.glm.modelselection.EliminationByZValue (implements dev.nm.stat.regression.linear.glm.modelselection.BackwardElimination.Step)
- dev.nm.stat.evt.evd.univariate.fitting.acer.empirical.EmpiricalACER
- dev.nm.stat.evt.evd.univariate.fitting.acer.empirical.EmpiricalACEREstimation
- dev.nm.stat.evt.evd.univariate.fitting.acer.empirical.EmpiricalACERStatistics
- dev.nm.stat.distribution.univariate.EmpiricalDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.evt.evd.univariate.fitting.acer.empirical.EpsilonStatisticsCalculator
- dev.nm.stat.random.rng.multivariate.mcmc.hybrid.ErgodicHybridMCMC (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- dev.nm.stat.evt.evd.univariate.fitting.EstimateByLogLikelihood
- dev.nm.stat.stochasticprocess.univariate.sde.discrete.EulerSDE (implements dev.nm.stat.stochasticprocess.univariate.sde.discrete.DiscreteSDE)
- dev.nm.stat.stochasticprocess.timegrid.EvenlySpacedGrid (implements dev.nm.stat.stochasticprocess.timegrid.TimeGrid)
- dev.nm.misc.ExceptionUtils
- dev.nm.stat.stochasticprocess.univariate.random.ExpectationAtEndTime
- dev.nm.analysis.differentialequation.pde.finitedifference.hyperbolic.dim1.ExplicitCentralDifference1D (implements dev.nm.analysis.differentialequation.pde.PDESolver)
- dev.nm.analysis.differentialequation.pde.finitedifference.hyperbolic.dim2.ExplicitCentralDifference2D (implements dev.nm.analysis.differentialequation.pde.PDESolver)
- dev.nm.stat.factor.implicitmodelpca.ExplicitImplicitModelPCA
- dev.nm.stat.factor.implicitmodelpca.ExplicitImplicitModelPCA.Result
- dev.nm.analysis.integration.univariate.riemann.substitution.Exponential (implements dev.nm.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
- dev.nm.stat.distribution.univariate.ExponentialDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.distribution.univariate.exponentialfamily.ExponentialFamily
- dev.nm.stat.hmm.mixture.distribution.ExponentialMixtureDistribution (implements dev.nm.stat.hmm.mixture.distribution.MixtureDistribution)
- tech.nmfin.meanreversion.daspremont2008.ExtremalGeneralizedEigenvalueByGreedySearch (implements tech.nmfin.meanreversion.daspremont2008.ExtremalGeneralizedEigenvalueSolver)
- tech.nmfin.meanreversion.daspremont2008.ExtremalGeneralizedEigenvalueBySDP (implements tech.nmfin.meanreversion.daspremont2008.ExtremalGeneralizedEigenvalueSolver)
- dev.nm.stat.evt.exi.ExtremalIndexByClusterSizeReciprocal (implements dev.nm.stat.evt.exi.ExtremalIndexEstimation)
- dev.nm.stat.evt.exi.ExtremalIndexByFerroSeegers (implements dev.nm.stat.evt.exi.ExtremalIndexEstimation)
- dev.nm.stat.evt.markovchain.ExtremeValueMC (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.factor.factoranalysis.FactorAnalysis
- dev.nm.algebra.linear.matrix.doubles.operation.FastKroneckerProduct (implements dev.nm.algebra.linear.matrix.doubles.Matrix)
- dev.nm.stat.distribution.univariate.FDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.FerrisMangasarianWrightPhase1
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.FerrisMangasarianWrightPhase2 (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPCanonicalSolver
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.FerrisMangasarianWrightScheme2
- dev.nm.analysis.sequence.Fibonacci (implements dev.nm.analysis.sequence.Sequence)
- dev.nm.stat.stochasticprocess.univariate.filtration.Filtration
- dev.nm.stat.regression.linear.panel.FixedEffectsModel (implements dev.nm.stat.regression.linear.panel.PanelRegression)
- dev.nm.solver.multivariate.unconstrained.c2.linesearch.FletcherLineSearch (implements dev.nm.solver.multivariate.unconstrained.c2.linesearch.LineSearch)
- dev.nm.misc.datastructure.FlexibleTable (implements dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.misc.license.FloatingLicenseServer
- dev.nm.stat.hmm.ForwardBackwardProcedure
- dev.nm.algebra.linear.matrix.doubles.linearsystem.ForwardSubstitution
- dev.nm.stat.stochasticprocess.univariate.sde.Ft (implements dev.nm.misc.DeepCopyable)
- dev.nm.stat.stochasticprocess.univariate.sde.FtWt
- dev.nm.analysis.function.FunctionOps
- dev.nm.stat.distribution.univariate.GammaDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.hmm.mixture.distribution.GammaMixtureDistribution (implements dev.nm.stat.hmm.mixture.distribution.MixtureDistribution)
- dev.nm.stat.hmm.mixture.distribution.GammaMixtureDistribution.Lambda
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.garch.GARCHFit
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.garch.GARCHModel
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.garch.GARCH11Model
- tech.nmfin.portfoliooptimization.lai2010.ceta.npeb.resampler.GARCHResamplerFactory2 (implements tech.nmfin.portfoliooptimization.lai2010.ceta.npeb.resampler.ReturnsResamplerFactory)
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.garch.GARCHSim (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.algebra.linear.matrix.doubles.factorization.gaussianelimination.GaussianElimination
- dev.nm.algebra.linear.matrix.doubles.factorization.gaussianelimination.GaussianElimination4SquareMatrix (implements dev.nm.algebra.linear.matrix.doubles.factorization.triangle.LUDecomposition)
- dev.nm.analysis.integration.univariate.riemann.gaussian.GaussianQuadrature (implements dev.nm.analysis.integration.univariate.riemann.Integrator)
- dev.nm.algebra.linear.matrix.doubles.factorization.gaussianelimination.GaussJordanElimination
- dev.nm.solver.multivariate.unconstrained.c2.steepestdescent.GaussNewtonMinimizer
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.GaussSeidelSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.solver.multivariate.constrained.constraint.general.GeneralConstraints (implements dev.nm.solver.multivariate.constrained.constraint.Constraints)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedConjugateResidualSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.stat.evt.evd.univariate.GeneralizedEVD (implements dev.nm.stat.evt.evd.univariate.UnivariateEVD)
- dev.nm.stat.regression.linear.glm.GeneralizedLinearModel (implements dev.nm.stat.regression.linear.LinearModel)
- dev.nm.stat.regression.linear.glm.quasi.GeneralizedLinearModelQuasiFamily (implements dev.nm.stat.regression.linear.LinearModel)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedMinimalResidualSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.stat.evt.evd.univariate.GeneralizedParetoDistribution (implements dev.nm.stat.evt.evd.univariate.UnivariateEVD)
- dev.nm.algebra.linear.matrix.generic.matrixtype.GenericFieldMatrix<F> (implements dev.nm.algebra.linear.matrix.generic.GenericMatrix<T,F>)
- dev.nm.stat.timeseries.datastructure.univariate.GenericTimeTimeSeries<T> (implements dev.nm.stat.timeseries.datastructure.univariate.UnivariateTimeSeries<T,E>)
- dev.nm.solver.multivariate.geneticalgorithm.GeneticAlgorithm
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3.getvec.Getvec
- dev.nm.stat.evt.evd.univariate.fitting.GEVFittingByMaximumLikelihood (implements dev.nm.stat.evt.evd.univariate.fitting.MaximumLikelihoodFitting)
- dev.nm.graph.community.GirvanNewman<V,E,G>
- dev.nm.algebra.linear.matrix.doubles.matrixtype.GivensMatrix (implements dev.nm.algebra.linear.matrix.doubles.Matrix)
- dev.nm.stat.regression.linear.glm.distribution.GLMBinomial (implements dev.nm.stat.regression.linear.glm.distribution.GLMExponentialDistribution)
- dev.nm.stat.regression.linear.glm.distribution.GLMFamily
- dev.nm.stat.regression.linear.glm.quasi.family.QuasiFamily
- dev.nm.stat.regression.linear.glm.distribution.GLMGamma (implements dev.nm.stat.regression.linear.glm.distribution.GLMExponentialDistribution)
- dev.nm.stat.regression.linear.glm.quasi.family.QuasiGamma (implements dev.nm.stat.regression.linear.glm.quasi.family.QuasiDistribution)
- dev.nm.stat.regression.linear.glm.distribution.GLMGaussian (implements dev.nm.stat.regression.linear.glm.distribution.GLMExponentialDistribution)
- dev.nm.stat.regression.linear.glm.distribution.GLMInverseGaussian (implements dev.nm.stat.regression.linear.glm.distribution.GLMExponentialDistribution)
- dev.nm.stat.regression.linear.glm.modelselection.GLMModelSelection
- dev.nm.stat.regression.linear.glm.distribution.GLMPoisson (implements dev.nm.stat.regression.linear.glm.distribution.GLMExponentialDistribution)
- dev.nm.algebra.linear.matrix.doubles.factorization.svd.GolubKahanSVD (implements dev.nm.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition)
- dev.nm.solver.multivariate.constrained.integer.linear.cuttingplane.GomoryMixedCutMinimizer.MyCutter (implements dev.nm.solver.multivariate.constrained.integer.linear.cuttingplane.SimplexCuttingPlaneMinimizer.CutterFactory.Cutter)
- dev.nm.solver.multivariate.constrained.integer.linear.cuttingplane.GomoryPureCutMinimizer.MyCutter (implements dev.nm.solver.multivariate.constrained.integer.linear.cuttingplane.SimplexCuttingPlaneMinimizer.CutterFactory.Cutter)
- dev.nm.analysis.differentiation.multivariate.GradientFunction (implements dev.nm.analysis.function.rn2rm.RealVectorFunction)
- dev.nm.algebra.linear.matrix.doubles.factorization.qr.GramSchmidt (implements dev.nm.algebra.linear.matrix.doubles.factorization.qr.QRDecomposition)
- dev.nm.graph.algorithm.traversal.GraphTraversal.Node<V> (implements java.lang.Comparable<T>)
- dev.nm.graph.algorithm.traversal.BFS.Node<V>
- dev.nm.graph.algorithm.traversal.DFS.Node<V>
- dev.nm.graph.GraphUtils
- tech.nmfin.portfoliooptimization.lai2010.ceta.maximizer.GridSearchCetaMaximizer (implements tech.nmfin.portfoliooptimization.lai2010.ceta.maximizer.CetaMaximizer)
- dev.nm.solver.univariate.GridSearchMinimizer (implements dev.nm.solver.univariate.UnivariateMinimizer)
- dev.nm.solver.univariate.GridSearchMinimizer.Solution (implements dev.nm.solver.univariate.UnivariateMinimizer.Solution)
- dev.nm.stat.random.sampler.resampler.multivariate.GroupResampler (implements dev.nm.stat.random.sampler.resampler.multivariate.MultivariateResampler)
- tech.nmfin.portfoliooptimization.lai2010.ceta.npeb.resampler.GroupResamplerFactory (implements tech.nmfin.portfoliooptimization.lai2010.ceta.npeb.resampler.ReturnsResamplerFactory, dev.nm.stat.random.Seedable)
- dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.GSAAcceptanceProbabilityFunction (implements dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.TemperedAcceptanceProbabilityFunction)
- dev.nm.solver.multivariate.unconstrained.annealing.annealingfunction.GSAAnnealingFunction (implements dev.nm.solver.multivariate.unconstrained.annealing.annealingfunction.AnnealingFunction)
- dev.nm.solver.multivariate.unconstrained.annealing.temperaturefunction.GSATemperatureFunction (implements dev.nm.solver.multivariate.unconstrained.annealing.temperaturefunction.TemperatureFunction)
- dev.nm.analysis.root.univariate.HalleyRoot (implements dev.nm.analysis.root.univariate.Uniroot)
- tech.nmfin.meanreversion.hvolatility.HConstruction<T>
- dev.nm.analysis.differentialequation.pde.finitedifference.parabolic.dim1.heatequation.HeatEquation1D (implements dev.nm.analysis.differentialequation.pde.PDE)
- dev.nm.analysis.differentialequation.pde.finitedifference.parabolic.dim2.HeatEquation2D (implements dev.nm.analysis.differentialequation.pde.PDE)
- dev.nm.analysis.integration.univariate.riemann.gaussian.rule.HermitePolynomials (implements dev.nm.analysis.integration.univariate.riemann.gaussian.rule.OrthogonalPolynomialFamily)
- dev.nm.analysis.integration.univariate.riemann.gaussian.rule.HermiteRule (implements dev.nm.analysis.integration.univariate.riemann.gaussian.rule.GaussianQuadratureRule)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr.Hessenberg
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr.HessenbergDecomposition
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr.HessenbergDeflationSearch
- dev.nm.analysis.differentiation.multivariate.HessianFunction (implements dev.nm.analysis.function.matrix.RntoMatrix)
- dev.nm.stat.hmm.HmmInnovation
- dev.nm.solver.multivariate.constrained.convex.sdp.pathfollowing.HomogeneousPathFollowingMinimizer (implements dev.nm.solver.multivariate.constrained.ConstrainedMinimizer<P,S>)
- dev.nm.analysis.function.polynomial.HornerScheme
- dev.nm.algebra.linear.matrix.doubles.operation.householder.HouseholderContext
- dev.nm.algebra.linear.matrix.doubles.operation.householder.HouseholderInPlace
- dev.nm.algebra.linear.matrix.doubles.operation.householder.HouseholderInPlace.Householder
- dev.nm.algebra.linear.matrix.doubles.factorization.qr.HouseholderQR (implements dev.nm.algebra.linear.matrix.doubles.factorization.qr.QRDecomposition)
- dev.nm.algebra.linear.matrix.doubles.operation.householder.HouseholderReflection
- dev.nm.solver.multivariate.constrained.convex.sdp.pathfollowing.Hp
- dev.nm.stat.random.rng.multivariate.HypersphereRVG (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- dev.nm.stat.test.HypothesisTest
- dev.nm.misc.datastructure.IdentityHashSet<T> (implements java.util.Set<E>)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.IdentityPreconditioner (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner)
- dev.nm.stat.random.rng.multivariate.IID (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- dev.nm.solver.multivariate.constrained.integer.linear.bb.ILPBranchAndBoundMinimizer (implements dev.nm.solver.multivariate.constrained.integer.IPMinimizer<T,S>)
- dev.nm.solver.multivariate.constrained.integer.linear.bb.ILPNode (implements dev.nm.misc.algorithm.bb.BBNode, dev.nm.solver.multivariate.constrained.problem.ConstrainedOptimProblem)
- dev.nm.solver.multivariate.constrained.integer.linear.problem.ILPProblemImpl1 (implements dev.nm.solver.multivariate.constrained.integer.linear.problem.ILPProblem)
- dev.nm.solver.multivariate.constrained.integer.linear.problem.PureILPProblem
- dev.nm.algebra.linear.matrix.doubles.ImmutableMatrix (implements dev.nm.algebra.linear.matrix.doubles.Matrix)
- dev.nm.algebra.linear.vector.doubles.ImmutableVector (implements dev.nm.algebra.linear.vector.doubles.Vector)
- dev.nm.stat.factor.implicitmodelpca.ImplicitModelPCA
- dev.nm.stat.factor.implicitmodelpca.ImplicitModelPCA.Result
- dev.nm.stat.random.variancereduction.ImportanceSampling (implements dev.nm.stat.random.MeanEstimator)
- tech.nmfin.meanreversion.daspremont2008.IndependentCoVAR
- tech.nmfin.infantino2010.Infantino2010PCA
- tech.nmfin.infantino2010.Infantino2010PCA.Signal
- tech.nmfin.infantino2010.Infantino2010Regime
- dev.nm.algebra.linear.matrix.doubles.operation.InnerProduct
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.InnovationsAlgorithm
- dev.nm.stat.stochasticprocess.univariate.integration.Integral
- dev.nm.stat.stochasticprocess.univariate.integration.IntegralDB
- dev.nm.stat.stochasticprocess.univariate.integration.IntegralDt
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.AllIntegers (implements dev.nm.solver.multivariate.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.IntegerConstraint)
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.SomeIntegers (implements dev.nm.solver.multivariate.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.IntegerConstraint)
- dev.nm.stat.stochasticprocess.univariate.integration.IntegralExpectation
- dev.nm.interval.Interval<T>
- dev.nm.interval.Intervals<T>
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.InverseIteration
- dev.nm.stat.random.rng.univariate.InverseTransformSampling (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.evt.evd.univariate.rng.InverseTransformSamplingEVDRNG (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.random.rng.univariate.normal.truncated.InverseTransformSamplingTruncatedNormalRNG (implements dev.nm.stat.random.rng.univariate.gamma.RandomGammaGenerator)
- dev.nm.analysis.integration.univariate.riemann.substitution.InvertingVariable (implements dev.nm.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
- dev.nm.solver.multivariate.constrained.integer.IPProblemImpl1 (implements dev.nm.solver.multivariate.constrained.integer.IPProblem)
- dev.nm.misc.algorithm.iterative.monitor.IteratesMonitor<S> (implements dev.nm.misc.algorithm.iterative.monitor.IterationMonitor<S>)
- dev.nm.solver.multivariate.unconstrained.c2.IterativeC2Maximizer (implements dev.nm.solver.Optimizer<P,S>)
- dev.nm.analysis.differentialequation.pde.finitedifference.elliptic.dim2.IterativeCentralDifference (implements dev.nm.analysis.differentialequation.pde.PDESolver)
- dev.nm.stat.regression.linear.glm.IWLS (implements dev.nm.stat.regression.linear.glm.GLMFitting)
- dev.nm.analysis.differentiation.multivariate.JacobianFunction (implements dev.nm.analysis.function.matrix.RntoMatrix)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.JacobiPreconditioner (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.JacobiSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.analysis.function.polynomial.root.jenkinstraub.JenkinsTraubReal
- dev.nm.misc.datastructure.time.JodaTimeUtils
- dev.nm.stat.cointegration.JohansenTest
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.JordanExchange
- tech.nmfin.meanreversion.hvolatility.Kagi<T>
- tech.nmfin.meanreversion.hvolatility.KagiModel
- dev.nm.stat.descriptive.correlation.KendallRankCorrelation (implements dev.nm.stat.descriptive.Statistic)
- dev.nm.algebra.linear.matrix.doubles.linearsystem.Kernel
- tech.nmfin.trend.kst1995.KnightSatchellTran1995MLE
- dev.nm.stat.random.rng.univariate.poisson.Knuth1969 (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.test.distribution.kolmogorov.KolmogorovDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.test.distribution.kolmogorov.KolmogorovOneSidedDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.random.rng.univariate.gamma.KunduGupta2007 (implements dev.nm.stat.random.rng.univariate.gamma.RandomGammaGenerator)
- dev.nm.stat.descriptive.moment.Kurtosis (implements dev.nm.stat.descriptive.Statistic)
- dev.nm.analysis.integration.univariate.riemann.gaussian.rule.LaguerrePolynomials (implements dev.nm.analysis.integration.univariate.riemann.gaussian.rule.OrthogonalPolynomialFamily)
- dev.nm.analysis.integration.univariate.riemann.gaussian.rule.LaguerreRule (implements dev.nm.analysis.integration.univariate.riemann.gaussian.rule.GaussianQuadratureRule)
- tech.nmfin.portfoliooptimization.lai2010.Lai2010NPEBModel
- tech.nmfin.portfoliooptimization.lai2010.Lai2010NPEBModel.OptimalWeights
- tech.nmfin.portfoliooptimization.Lai2010OptimizationAlgorithm (implements tech.nmfin.portfoliooptimization.PortfolioOptimizationAlgorithm)
- dev.nm.analysis.function.special.gamma.Lanczos
- dev.nm.stat.regression.linear.lasso.lars.LARSFitting
- dev.nm.stat.regression.linear.lasso.lars.LARSFitting.Estimators
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3.LDDecomposition
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3.LDFactorizationFromRoot
- dev.nm.algebra.linear.matrix.doubles.factorization.triangle.LDLt
- dev.nm.stat.random.rng.multivariate.mcmc.hybrid.LeapFrogging
- dev.nm.stat.random.rng.multivariate.mcmc.hybrid.LeapFrogging.DynamicsState
- dev.nm.solver.multivariate.minmax.LeastPth<T> (implements dev.nm.solver.multivariate.minmax.MinMaxMinimizer<T>)
- dev.nm.analysis.curvefit.LeastSquares (implements dev.nm.analysis.curvefit.CurveFitting)
- dev.nm.analysis.integration.univariate.Lebesgue
- dev.nm.stat.random.rng.univariate.uniform.linear.LEcuyer (implements dev.nm.stat.random.rng.univariate.uniform.linear.LinearCongruentialGenerator)
- dev.nm.stat.covariance.LedoitWolf2004
- dev.nm.stat.covariance.LedoitWolf2004.Result
- dev.nm.stat.covariance.nlshrink.LedoitWolf2016
- dev.nm.stat.covariance.nlshrink.LedoitWolf2016.Result
- dev.nm.analysis.integration.univariate.riemann.gaussian.rule.LegendrePolynomials (implements dev.nm.analysis.integration.univariate.riemann.gaussian.rule.OrthogonalPolynomialFamily)
- dev.nm.analysis.integration.univariate.riemann.gaussian.rule.LegendreRule (implements dev.nm.analysis.integration.univariate.riemann.gaussian.rule.GaussianQuadratureRule)
- dev.nm.stat.random.rng.univariate.uniform.linear.Lehmer (implements dev.nm.stat.random.rng.univariate.uniform.linear.LinearCongruentialGenerator)
- dev.nm.misc.license.License
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.LILSparseMatrix (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix)
- dev.nm.solver.multivariate.constrained.constraint.linear.LinearConstraints (implements dev.nm.solver.multivariate.constrained.constraint.Constraints)
- dev.nm.stat.evt.evd.univariate.fitting.acer.LinearFit
- dev.nm.analysis.curvefit.interpolation.univariate.LinearInterpolation (implements dev.nm.analysis.curvefit.interpolation.univariate.Interpolation)
- dev.nm.stat.dlm.univariate.LinearKalmanFilter
- dev.nm.analysis.function.polynomial.root.LinearRoot (implements dev.nm.analysis.function.polynomial.root.PolyRootSolver)
- dev.nm.algebra.linear.matrix.doubles.linearsystem.LinearSystemSolver
- dev.nm.geometry.LineSegment
- dev.nm.stat.regression.linear.glm.distribution.link.LinkCloglog (implements dev.nm.stat.regression.linear.glm.distribution.link.LinkFunction)
- dev.nm.stat.regression.linear.glm.distribution.link.LinkIdentity (implements dev.nm.stat.regression.linear.glm.distribution.link.LinkFunction)
- dev.nm.stat.regression.linear.glm.distribution.link.LinkInverse (implements dev.nm.stat.regression.linear.glm.distribution.link.LinkFunction)
- dev.nm.stat.regression.linear.glm.distribution.link.LinkInverseSquared (implements dev.nm.stat.regression.linear.glm.distribution.link.LinkFunction)
- dev.nm.stat.regression.linear.glm.distribution.link.LinkLog (implements dev.nm.stat.regression.linear.glm.distribution.link.LinkFunction)
- dev.nm.stat.regression.linear.glm.distribution.link.LinkLogit (implements dev.nm.stat.regression.linear.glm.distribution.link.LinkFunction)
- dev.nm.stat.regression.linear.glm.distribution.link.LinkProbit (implements dev.nm.stat.regression.linear.glm.distribution.link.LinkFunction)
- dev.nm.stat.regression.linear.glm.distribution.link.LinkSqrt (implements dev.nm.stat.regression.linear.glm.distribution.link.LinkFunction)
- dev.nm.stat.regression.linear.LMBeta
- dev.nm.stat.regression.linear.glm.GLMBeta
- dev.nm.stat.regression.linear.logistic.LogisticBeta
- dev.nm.stat.regression.linear.ols.OLSBeta
- dev.nm.stat.regression.linear.residualanalysis.LMDiagnostics
- dev.nm.stat.regression.linear.residualanalysis.LMInformationCriteria
- dev.nm.stat.regression.linear.LMProblem
- dev.nm.stat.regression.linear.residualanalysis.LMResiduals
- dev.nm.stat.regression.linear.logistic.LogisticRegression (implements dev.nm.stat.regression.linear.LinearModel)
- dev.nm.stat.distribution.univariate.LogNormalDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.hmm.mixture.distribution.LogNormalMixtureDistribution (implements dev.nm.stat.hmm.mixture.distribution.MixtureDistribution)
- dev.nm.stat.hmm.mixture.distribution.LogNormalMixtureDistribution.Lambda
- dev.nm.stat.random.rng.univariate.LogNormalRNG (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.triangle.LowerTriangularMatrix (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPBoundedMinimizer (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexMinimizer)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblemImpl1 (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPRevisedSimplexSolver (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPRevisedSimplexSolver.Problem (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPTwoPhaseSolver (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPUnboundedMinimizer (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPSimplexMinimizer)
- dev.nm.algebra.linear.matrix.doubles.linearsystem.LSProblem
- dev.nm.algebra.linear.matrix.doubles.factorization.triangle.LU (implements dev.nm.algebra.linear.matrix.doubles.factorization.triangle.LUDecomposition)
- dev.nm.algebra.linear.matrix.doubles.linearsystem.LUSolver
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.MADecomposition
- tech.nmfin.portfoliooptimization.markowitz.MarkowitzByQP
- dev.nm.stat.evt.timeseries.MARMAModel
- dev.nm.stat.evt.timeseries.MARMASim (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.random.rng.univariate.normal.MarsagliaBray1964 (implements dev.nm.stat.random.rng.univariate.normal.RandomStandardNormalGenerator)
- dev.nm.stat.random.rng.univariate.gamma.MarsagliaTsang2000 (implements dev.nm.stat.random.rng.univariate.gamma.RandomGammaGenerator)
- dev.nm.misc.datastructure.MathTable
- dev.nm.misc.datastructure.MathTable.Row
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.MatrixCoordinate
- dev.nm.algebra.linear.matrix.doubles.operation.MatrixFactory
- dev.nm.algebra.linear.matrix.doubles.operation.MatrixMeasure
- dev.nm.algebra.linear.matrix.doubles.MatrixPropertyUtils
- dev.nm.algebra.linear.matrix.doubles.operation.MatrixUtils
- dev.nm.stat.descriptive.rank.Max (implements dev.nm.stat.descriptive.Statistic)
- dev.nm.stat.evt.evd.univariate.MaximaDistribution (implements dev.nm.stat.evt.evd.univariate.UnivariateEVD)
- tech.nmfin.portfoliooptimization.clm.MCLNiedermayer (implements tech.nmfin.portfoliooptimization.clm.MarkowitzCriticalLine)
- dev.nm.stat.markovchain.MCUtils
- dev.nm.stat.descriptive.moment.Mean (implements dev.nm.stat.descriptive.Statistic)
- tech.nmfin.meanreversion.volarb.MeanEstimatorMaxLevelShift (implements tech.nmfin.meanreversion.volarb.MeanEstimator)
- dev.nm.stat.random.rng.univariate.uniform.mersennetwister.MersenneTwister (implements dev.nm.stat.random.rng.univariate.RandomLongGenerator)
- dev.nm.stat.random.rng.univariate.uniform.mersennetwister.MersenneTwisterParam
- dev.nm.stat.random.rng.univariate.uniform.mersennetwister.dynamiccreation.MersenneTwisterParamSearcher
- dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.MetropolisAcceptanceProbabilityFunction (implements dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.TemperedAcceptanceProbabilityFunction)
- dev.nm.stat.random.rng.multivariate.mcmc.metropolis.MetropolisUtils
- dev.nm.stat.stochasticprocess.univariate.sde.discrete.MilsteinSDE (implements dev.nm.stat.stochasticprocess.univariate.sde.discrete.DiscreteSDE)
- dev.nm.stat.descriptive.rank.Min (implements dev.nm.stat.descriptive.Statistic)
- dev.nm.stat.evt.evd.univariate.MinimaDistribution (implements dev.nm.stat.evt.evd.univariate.UnivariateEVD)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.MinimalResidualSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- tech.nmfin.portfoliooptimization.corvalan2005.constraint.MinimumWeights (implements tech.nmfin.portfoliooptimization.corvalan2005.Corvalan2005.WeightsConstraint)
- dev.nm.stat.hmm.mixture.MixtureHMMEM.TrainedModel
- tech.nmfin.portfoliooptimization.lai2010.ceta.npeb.resampler.ModelResamplerFactory (implements tech.nmfin.portfoliooptimization.lai2010.ceta.npeb.resampler.ReturnsResamplerFactory)
- dev.nm.stat.descriptive.moment.Moments (implements dev.nm.stat.descriptive.Statistic)
- tech.nmfin.returns.moments.MomentsEstimatorLedoitWolf (implements tech.nmfin.returns.moments.ReturnsMoments.Estimator)
- dev.nm.dsp.univariate.operation.system.doubles.MovingAverage (implements dev.nm.dsp.univariate.operation.system.doubles.Filter)
- dev.nm.dsp.univariate.operation.system.doubles.MovingAverageByExtension (implements dev.nm.dsp.univariate.operation.system.doubles.Filter)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3.MR3 (implements dev.nm.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
- dev.nm.stat.random.rng.univariate.uniform.linear.MRG (implements dev.nm.stat.random.rng.univariate.uniform.linear.LinearCongruentialGenerator)
- tech.nmfin.meanreversion.volarb.MRModelRanged (implements tech.nmfin.meanreversion.volarb.MRModel)
- dev.nm.misc.datastructure.MultiDimensionalArray<T> (implements dev.nm.misc.datastructure.MultiDimensionalCollection<T>)
- dev.nm.misc.datastructure.MultiDimensionalGrid (implements java.lang.Iterable<T>)
- dev.nm.misc.datastructure.MultiDimensionalGrid.Discretization
- dev.nm.stat.distribution.multivariate.MultinomialDistribution (implements dev.nm.stat.distribution.multivariate.MultivariateProbabilityDistribution)
- dev.nm.stat.random.rng.multivariate.MultinomialRVG (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- dev.nm.analysis.curvefit.interpolation.multivariate.MultivariateArrayGrid (implements dev.nm.analysis.curvefit.interpolation.multivariate.MultivariateGrid)
- dev.nm.stat.stochasticprocess.multivariate.random.MultivariateBrownianRRG (implements dev.nm.stat.stochasticprocess.multivariate.random.MultivariateRandomRealizationGenerator)
- dev.nm.stat.stochasticprocess.multivariate.sde.discrete.MultivariateBrownianSDE (implements dev.nm.stat.stochasticprocess.multivariate.sde.discrete.MultivariateDiscreteSDE)
- dev.nm.stat.dlm.multivariate.MultivariateDLM
- dev.nm.stat.dlm.multivariate.MultivariateDLMSeries (implements dev.nm.stat.timeseries.datastructure.TimeSeries<T,V,E>)
- dev.nm.stat.dlm.multivariate.MultivariateDLMSeries.Entry (implements dev.nm.stat.timeseries.datastructure.TimeSeries.Entry<T,V>)
- dev.nm.stat.dlm.multivariate.MultivariateDLMSim
- dev.nm.stat.dlm.multivariate.MultivariateDLMSim.Innovation
- dev.nm.stat.stochasticprocess.multivariate.sde.discrete.MultivariateEulerSDE (implements dev.nm.stat.stochasticprocess.multivariate.sde.discrete.MultivariateDiscreteSDE)
- dev.nm.stat.distribution.multivariate.exponentialfamily.MultivariateExponentialFamily
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.MultivariateForecastOneStep
- dev.nm.stat.stochasticprocess.multivariate.sde.MultivariateFt (implements dev.nm.misc.DeepCopyable)
- dev.nm.stat.timeseries.datastructure.multivariate.MultivariateGenericTimeTimeSeries<T> (implements dev.nm.stat.timeseries.datastructure.multivariate.MultivariateTimeSeries<T,E>)
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.MultivariateInnovationAlgorithm
- dev.nm.stat.dlm.multivariate.MultivariateLinearKalmanFilter
- dev.nm.stat.distribution.multivariate.MultivariateNormalDistribution (implements dev.nm.stat.distribution.multivariate.MultivariateProbabilityDistribution)
- dev.nm.stat.dlm.multivariate.MultivariateObservationEquation
- dev.nm.stat.stochasticprocess.multivariate.random.MultivariateRandomProcess (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- dev.nm.stat.stochasticprocess.multivariate.random.MultivariateRandomRealizationOfRandomProcess (implements dev.nm.stat.stochasticprocess.multivariate.random.MultivariateRandomRealizationGenerator)
- dev.nm.analysis.curvefit.interpolation.multivariate.MultivariateRegularGrid (implements dev.nm.analysis.curvefit.interpolation.multivariate.MultivariateGrid)
- dev.nm.analysis.curvefit.interpolation.multivariate.MultivariateRegularGrid.EquallySpacedVariable
- dev.nm.stat.stochasticprocess.multivariate.sde.MultivariateSDE
- dev.nm.stat.timeseries.datastructure.multivariate.realtime.inttime.MultivariateSimpleTimeSeries (implements dev.nm.stat.timeseries.datastructure.multivariate.realtime.inttime.MultivariateIntTimeTimeSeries)
- dev.nm.stat.dlm.multivariate.MultivariateStateEquation
- dev.nm.stat.distribution.multivariate.MultivariateTDistribution (implements dev.nm.stat.distribution.multivariate.MultivariateProbabilityDistribution)
- dev.nm.stat.timeseries.datastructure.multivariate.MultivariateTimeSeries.Entry<T> (implements dev.nm.stat.timeseries.datastructure.TimeSeries.Entry<T,V>)
- dev.nm.misc.parallel.Mutex
- tech.nmfin.portfoliooptimization.lai2010.optimizer.MVOptimizerMinWeights (implements tech.nmfin.portfoliooptimization.lai2010.optimizer.MVOptimizer)
- tech.nmfin.portfoliooptimization.lai2010.optimizer.MVOptimizerNoConstraint (implements tech.nmfin.portfoliooptimization.lai2010.optimizer.MVOptimizer)
- tech.nmfin.portfoliooptimization.lai2010.optimizer.MVOptimizerShrankMean (implements tech.nmfin.portfoliooptimization.lai2010.optimizer.MVOptimizer)
- dev.nm.stat.random.rng.univariate.uniform.MWC8222 (implements dev.nm.stat.random.rng.univariate.RandomLongGenerator)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.NaiveRule (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SimplexPivoting)
- dev.nm.solver.multivariate.unconstrained.c2.NelderMeadMinimizer (implements dev.nm.solver.multivariate.unconstrained.c2.IterativeC2Minimizer)
- dev.nm.solver.multivariate.unconstrained.c2.NelderMeadMinimizer.Solution (implements dev.nm.solver.IterativeSolution<S>)
- dev.nm.analysis.integration.univariate.riemann.newtoncotes.NewtonCotes (implements dev.nm.analysis.integration.univariate.riemann.IterativeIntegrator)
- dev.nm.analysis.integration.univariate.riemann.newtoncotes.Midpoint
- dev.nm.analysis.integration.univariate.riemann.newtoncotes.Trapezoidal
- dev.nm.analysis.curvefit.interpolation.univariate.NewtonPolynomial (implements dev.nm.analysis.curvefit.interpolation.univariate.Interpolation)
- dev.nm.analysis.root.univariate.NewtonRoot (implements dev.nm.analysis.root.univariate.Uniroot)
- dev.nm.analysis.root.multivariate.NewtonSystemRoot
- tech.nmfin.portfoliooptimization.nmsaam.NMSAAM (implements tech.nmfin.portfoliooptimization.PortfolioOptimizationAlgorithm)
- dev.nm.analysis.integration.univariate.riemann.substitution.NoChangeOfVariable (implements dev.nm.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
- tech.nmfin.portfoliooptimization.corvalan2005.constraint.NoConstraints (implements tech.nmfin.portfoliooptimization.corvalan2005.Corvalan2005.WeightsConstraint)
- dev.nm.stat.evt.evd.univariate.fitting.acer.NonlinearFit
- dev.nm.stat.evt.evd.univariate.fitting.acer.NonlinearFit.Result
- dev.nm.stat.covariance.nlshrink.NonlinearShrinkageEstimator
- dev.nm.solver.multivariate.constrained.problem.NonNegativityConstraintOptimProblem (implements dev.nm.solver.multivariate.constrained.problem.ConstrainedOptimProblem)
- dev.nm.stat.distribution.univariate.NormalDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.hmm.mixture.distribution.NormalMixtureDistribution (implements dev.nm.stat.hmm.mixture.distribution.MixtureDistribution)
- dev.nm.stat.hmm.mixture.distribution.NormalMixtureDistribution.Lambda
- dev.nm.stat.random.rng.univariate.normal.NormalRNG (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.random.rng.multivariate.NormalRVG (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- tech.nmfin.portfoliooptimization.corvalan2005.constraint.NoShortSelling (implements tech.nmfin.portfoliooptimization.corvalan2005.Corvalan2005.WeightsConstraint)
- tech.nmfin.portfoliooptimization.lai2010.ceta.npeb.NPEBPortfolioMomentsEstimator (implements tech.nmfin.portfoliooptimization.lai2010.ceta.Ceta.PortfolioMomentsEstimator)
- dev.nm.misc.algorithm.iterative.monitor.NullMonitor<S> (implements dev.nm.misc.algorithm.iterative.monitor.IterationMonitor<S>)
- java.lang.Number (implements java.io.Serializable)
- dev.nm.number.NumberUtils
- dev.nm.stat.dlm.univariate.ObservationEquation
- dev.nm.analysis.differentialequation.ode.ivp.problem.ODE
- dev.nm.analysis.differentialequation.ode.ivp.problem.ODE1stOrder
- dev.nm.analysis.differentialequation.ode.ivp.solver.ODESolution
- dev.nm.stat.regression.linear.ols.OLSRegression (implements dev.nm.stat.regression.linear.LinearModel)
- dev.nm.algebra.linear.matrix.doubles.linearsystem.OLSSolverByQR
- dev.nm.algebra.linear.matrix.doubles.linearsystem.OLSSolver
- dev.nm.algebra.linear.matrix.doubles.linearsystem.OLSSolverBySVD
- dev.nm.stat.timeseries.datastructure.univariate.realtime.OneDimensionTimeSeries<T> (implements dev.nm.stat.timeseries.datastructure.univariate.UnivariateTimeSeries<T,E>)
- dev.nm.stat.evt.evd.univariate.OrderStatisticsDistribution (implements dev.nm.stat.evt.evd.univariate.UnivariateEVD)
- dev.nm.misc.algorithm.stopcondition.OrStopConditions (implements dev.nm.misc.algorithm.stopcondition.StopCondition)
- dev.nm.stat.stochasticprocess.univariate.sde.process.ou.OUFittingMLE (implements dev.nm.stat.stochasticprocess.univariate.sde.process.ou.OUFitting)
- dev.nm.stat.stochasticprocess.univariate.sde.process.ou.OUFittingOLS (implements dev.nm.stat.stochasticprocess.univariate.sde.process.ou.OUFitting)
- dev.nm.stat.stochasticprocess.univariate.sde.process.ou.OUSim (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.misc.license.Package
- dev.nm.analysis.function.tuple.Pair (implements java.lang.Comparable<T>)
- dev.nm.analysis.function.tuple.PairComparatorByAbscissaFirst (implements java.util.Comparator<T>)
- dev.nm.analysis.function.tuple.PairComparatorByAbscissaOnly (implements java.util.Comparator<T>)
- tech.nmfin.meanreversion.cointegration.PairingModel1 (implements tech.nmfin.meanreversion.cointegration.PairingModel)
- tech.nmfin.meanreversion.cointegration.PairingModel2 (implements tech.nmfin.meanreversion.cointegration.PairingModel)
- tech.nmfin.meanreversion.cointegration.PairingModel3 (implements tech.nmfin.meanreversion.cointegration.PairingModel)
- tech.nmfin.meanreversion.cointegration.PairingModel4 (implements tech.nmfin.meanreversion.cointegration.PairingModel)
- tech.nmfin.meanreversion.cointegration.PairingModel5 (implements tech.nmfin.meanreversion.cointegration.PairingModel)
- tech.nmfin.meanreversion.cointegration.PairingModelUtils
- dev.nm.stat.regression.linear.panel.PanelData<S>
- dev.nm.stat.regression.linear.panel.PanelData.Row (implements java.lang.Comparable<T>)
- dev.nm.number.doublearray.ParallelDoubleArrayOperation (implements dev.nm.number.doublearray.DoubleArrayOperation)
- dev.nm.misc.parallel.ParallelExecutor
- dev.nm.analysis.curvefit.interpolation.bivariate.PartialDerivativesByCenteredDifferencing (implements dev.nm.analysis.curvefit.interpolation.bivariate.BicubicInterpolation.PartialDerivatives)
- dev.nm.analysis.function.tuple.PartialFunction (implements dev.nm.analysis.function.tuple.OrderedPairs)
- dev.nm.stat.random.sampler.resampler.bootstrap.block.PattonPolitisWhite2009 (implements dev.nm.stat.random.sampler.resampler.Resampler)
- dev.nm.stat.random.sampler.resampler.bootstrap.block.PattonPolitisWhite2009ForObject<X> (implements dev.nm.stat.random.sampler.resampler.ObjectResampler<X>)
- dev.nm.stat.factor.pca.PCAbyEigen
- dev.nm.stat.factor.pca.PCAbySVD
- dev.nm.analysis.differentialequation.pde.finitedifference.PDETimeSpaceGrid1D
- dev.nm.stat.evt.evd.univariate.fitting.pot.PeaksOverThreshold (implements dev.nm.stat.evt.evd.univariate.fitting.MaximumLikelihoodFitting)
- dev.nm.stat.evt.evd.univariate.fitting.pot.PeaksOverThresholdOnClusters (implements dev.nm.stat.evt.evd.univariate.fitting.MaximumLikelihoodFitting)
- dev.nm.solver.multivariate.constrained.general.penaltymethod.PenaltyFunction (implements dev.nm.analysis.function.rn2r1.RealScalarFunction)
- dev.nm.solver.multivariate.constrained.general.penaltymethod.MultiplierPenalty
- dev.nm.solver.multivariate.constrained.general.penaltymethod.SumOfPenalties
- dev.nm.solver.multivariate.constrained.general.penaltymethod.ZeroPenalty
- dev.nm.solver.multivariate.constrained.general.penaltymethod.PenaltyMethodMinimizer (implements dev.nm.solver.multivariate.constrained.ConstrainedMinimizer<P,S>)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.PermutationMatrix (implements dev.nm.algebra.linear.matrix.doubles.Matrix)
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.simplegrid.firstgeneration.PerturbationAroundPoint (implements dev.nm.solver.multivariate.geneticalgorithm.minimizer.simplegrid.firstgeneration.FirstGeneration)
- dev.nm.misc.PhysicalConstants
- dev.nm.geometry.Point
- dev.nm.stat.distribution.univariate.PoissonDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.analysis.differentialequation.pde.finitedifference.elliptic.dim2.PoissonEquation2D (implements dev.nm.analysis.differentialequation.pde.PDE)
- dev.nm.stat.hmm.mixture.distribution.PoissonMixtureDistribution (implements dev.nm.stat.hmm.mixture.distribution.MixtureDistribution)
- dev.nm.geometry.polyline.PolygonalChainByArray (implements dev.nm.geometry.polyline.PolygonalChain)
- dev.nm.analysis.function.polynomial.root.PolyRoot (implements dev.nm.analysis.function.polynomial.root.PolyRootSolver)
- tech.nmfin.portfoliooptimization.PortfolioOptimizationAlgorithm.SampleCovarianceEstimator (implements tech.nmfin.portfoliooptimization.PortfolioOptimizationAlgorithm.CovarianceEstimator)
- tech.nmfin.portfoliooptimization.PortfolioOptimizationAlgorithm.SampleMeanEstimator (implements tech.nmfin.portfoliooptimization.PortfolioOptimizationAlgorithm.MeanEstimator)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.PortfolioRiskExactSigma.DefaultRoot (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.PortfolioRiskExactSigma.MatrixRoot)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.PortfolioRiskExactSigma.Diagonalization (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.PortfolioRiskExactSigma.MatrixRoot)
- tech.nmfin.portfoliooptimization.PortfolioUtils
- dev.nm.analysis.integration.univariate.riemann.substitution.PowerLawSingularity (implements dev.nm.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
- dev.nm.misc.PrecisionUtils
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.interiorpoint.PrimalDualInteriorPointMinimizer (implements dev.nm.solver.multivariate.constrained.ConstrainedMinimizer<P,S>)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.interiorpoint.PrimalDualInteriorPointMinimizer.Solution (implements dev.nm.solver.IterativeSolution<S>)
- dev.nm.solver.multivariate.constrained.convex.sdp.pathfollowing.PrimalDualPathFollowingMinimizer (implements dev.nm.solver.multivariate.constrained.ConstrainedMinimizer<P,S>)
- dev.nm.solver.multivariate.constrained.convex.sdp.pathfollowing.PrimalDualPathFollowingMinimizer.Solution (implements dev.nm.solver.IterativeSolution<S>)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.interiorpoint.PrimalDualSolution
- dev.nm.stat.distribution.discrete.ProbabilityMassFunction.Mass<X>
- dev.nm.stat.distribution.discrete.ProbabilityMassQuantile<X>
- dev.nm.stat.distribution.discrete.ProbabilityMassSampler<X> (implements dev.nm.stat.random.Seedable)
- tech.nmfin.portfoliooptimization.corvalan2005.diversification.ProductOfWeights (implements tech.nmfin.portfoliooptimization.corvalan2005.diversification.DiversificationMeasure)
- dev.nm.algebra.linear.vector.doubles.operation.Projection
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.socp.QPbySOCPMinimizer (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.socp.QPbySOCPMinimizer.Solution (implements dev.nm.solver.IterativeSolution<S>)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.activeset.QPDualActiveSetMinimizer (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.activeset.QPDualActiveSetMinimizer.Solution (implements dev.nm.solver.IterativeSolution<S>)
- tech.nmfin.portfoliooptimization.markowitz.constraints.QPMinWeights (implements tech.nmfin.portfoliooptimization.markowitz.constraints.QPConstraint)
- tech.nmfin.portfoliooptimization.markowitz.constraints.QPNoConstraint (implements tech.nmfin.portfoliooptimization.markowitz.constraints.QPConstraint)
- tech.nmfin.portfoliooptimization.markowitz.constraints.QPNoShortSelling (implements tech.nmfin.portfoliooptimization.markowitz.constraints.QPConstraint)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.activeset.QPPrimalActiveSetMinimizer (implements dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.activeset.QPPrimalActiveSetMinimizer.Solution (implements dev.nm.solver.IterativeSolution<S>)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.problem.QPProblem (implements dev.nm.solver.multivariate.constrained.problem.ConstrainedOptimProblem)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.QPSimpleMinimizer
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.socp.QPtoSOCPTransformer
- tech.nmfin.portfoliooptimization.markowitz.constraints.QPUnity (implements tech.nmfin.portfoliooptimization.markowitz.constraints.QPConstraint)
- tech.nmfin.portfoliooptimization.markowitz.constraints.QPWeightsLimit (implements tech.nmfin.portfoliooptimization.markowitz.constraints.QPConstraint)
- dev.nm.algebra.linear.matrix.doubles.factorization.qr.QR (implements dev.nm.algebra.linear.matrix.doubles.factorization.qr.QRDecomposition)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr.QRAlgorithm (implements dev.nm.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
- dev.nm.analysis.function.polynomial.root.QuadraticRoot (implements dev.nm.analysis.function.polynomial.root.PolyRootSolver)
- dev.nm.analysis.function.polynomial.QuadraticSyntheticDivision
- dev.nm.stat.descriptive.rank.Quantile (implements dev.nm.stat.descriptive.Statistic)
- dev.nm.analysis.function.polynomial.root.QuarticRoot (implements dev.nm.analysis.function.polynomial.root.PolyRootSolver)
- dev.nm.analysis.function.polynomial.root.QuarticRootFerrari (implements dev.nm.analysis.function.polynomial.root.QuarticRoot.QuarticSolver)
- dev.nm.analysis.function.polynomial.root.QuarticRootFormula (implements dev.nm.analysis.function.polynomial.root.QuarticRoot.QuarticSolver)
- dev.nm.stat.regression.linear.glm.quasi.QuasiGLMNewtonRaphson (implements dev.nm.stat.regression.linear.glm.GLMFitting)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.QuasiMinimalResidualSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.stat.covariance.nlshrink.quest.QuEST
- dev.nm.stat.covariance.nlshrink.quest.QuEST.Result
- dev.nm.analysis.function.matrix.R1toMatrix (implements dev.nm.analysis.function.matrix.RntoMatrix)
- dev.nm.analysis.function.matrix.R2toMatrix (implements dev.nm.analysis.function.matrix.RntoMatrix)
- dev.nm.geometry.polyline.RamerDouglasPeucker
- dev.nm.stat.stochasticprocess.univariate.random.RandomProcess (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.stochasticprocess.univariate.random.RandomWalk
- dev.nm.stat.stochasticprocess.univariate.random.RandomRealizationOfRandomProcess (implements dev.nm.stat.stochasticprocess.univariate.random.RandomRealizationGenerator)
- dev.nm.stat.descriptive.rank.Rank
- dev.nm.stat.distribution.univariate.RayleighDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.algebra.linear.matrix.generic.matrixtype.RealMatrix (implements dev.nm.algebra.linear.matrix.generic.GenericMatrix<T,F>)
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.simplegrid.RealScalarFunctionChromosome (implements dev.nm.solver.multivariate.geneticalgorithm.Chromosome)
- dev.nm.algebra.linear.vector.doubles.operation.RealVectorSpace
- dev.nm.analysis.curvefit.interpolation.multivariate.RecursiveGridInterpolation (implements dev.nm.analysis.curvefit.interpolation.multivariate.MultivariateGridInterpolation)
- dev.nm.misc.parallel.Reference<T>
- dev.nm.misc.algorithm.iterative.tolerance.RelativeTolerance (implements dev.nm.misc.algorithm.iterative.tolerance.Tolerance)
- tech.nmfin.returns.Returns
- tech.nmfin.returns.moments.ReturnsMoments
- dev.nm.analysis.integration.univariate.riemann.Riemann (implements dev.nm.analysis.integration.univariate.riemann.Integrator)
- dev.nm.stat.random.rng.RNGUtils
- tech.nmfin.meanreversion.cointegration.RobustCointegration
- dev.nm.analysis.integration.univariate.riemann.newtoncotes.Romberg (implements dev.nm.analysis.integration.univariate.riemann.Integrator)
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta (implements dev.nm.analysis.differentialequation.ode.ivp.solver.ODESolver)
- dev.nm.analysis.differentialequation.ode.ivp.solver.EulerMethod
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta1 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta10 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta2 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta3 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta4 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta5 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta6 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta7 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKutta8 (implements dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper)
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaFehlberg (implements dev.nm.analysis.differentialequation.ode.ivp.solver.ODESolver)
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaIntegrator (implements dev.nm.analysis.differentialequation.ode.ivp.solver.ODEIntegrator)
- dev.nm.stat.stochasticprocess.univariate.sde.SDE
- dev.nm.stat.stochasticprocess.univariate.sde.process.GBMProcess
- dev.nm.stat.stochasticprocess.univariate.sde.process.ou.OrnsteinUhlenbeckProcess (implements dev.nm.stat.stochasticprocess.univariate.sde.process.ou.OUProcess)
- dev.nm.solver.multivariate.constrained.convex.sdp.problem.SDPDualProblem.EqualityConstraints (implements dev.nm.solver.multivariate.constrained.constraint.EqualityConstraints)
- dev.nm.solver.multivariate.constrained.convex.sdp.problem.SDPPrimalProblem
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.interiorpoint.SDPT3v4
- dev.nm.stat.regression.linear.glm.modelselection.SelectionByAIC (implements dev.nm.stat.regression.linear.glm.modelselection.ForwardSelection.Step)
- dev.nm.stat.regression.linear.glm.modelselection.SelectionByZValue (implements dev.nm.stat.regression.linear.glm.modelselection.ForwardSelection.Step)
- dev.nm.analysis.differentialequation.ode.ivp.solver.extrapolation.SemiImplicitExtrapolation (implements dev.nm.analysis.differentialequation.ode.ivp.solver.ODESolver)
- dev.nm.stat.test.distribution.normality.ShapiroWilkDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.random.rng.univariate.uniform.SHR0 (implements dev.nm.stat.random.rng.univariate.RandomLongGenerator)
- dev.nm.stat.random.rng.univariate.uniform.SHR3 (implements dev.nm.stat.random.rng.univariate.RandomLongGenerator)
- dev.nm.solver.multivariate.unconstrained.annealing.annealingfunction.SimpleAnnealingFunction (implements dev.nm.solver.multivariate.unconstrained.annealing.annealingfunction.AnnealingFunction)
- tech.nmfin.portfoliooptimization.lai2010.fit.SimpleAR1Moments (implements tech.nmfin.returns.moments.ReturnsMoments.Estimator)
- dev.nm.graph.type.SimpleArc<V> (implements dev.nm.graph.WeightedArc<V>)
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.deoptim.DEOptimCellFactory
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.deoptim.constrained.ConstrainedCellFactory
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.deoptim.Rand1Bin
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.deoptim.Best1Bin
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.deoptim.Best2Bin
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.local.LocalSearchCellFactory<P,T>
- dev.nm.number.doublearray.SimpleDoubleArrayOperation (implements dev.nm.number.doublearray.DoubleArrayOperation)
- dev.nm.graph.type.SimpleEdge<V> (implements dev.nm.graph.UndirectedEdge<V>, dev.nm.graph.WeightedEdge<V>)
- tech.nmfin.portfoliooptimization.lai2010.fit.SimpleGARCHFit (implements tech.nmfin.portfoliooptimization.lai2010.fit.ResamplerModel)
- tech.nmfin.portfoliooptimization.lai2010.fit.SimpleGARCHMoments1 (implements tech.nmfin.returns.moments.ReturnsMoments.Estimator)
- tech.nmfin.portfoliooptimization.lai2010.fit.SimpleGARCHMoments2 (implements tech.nmfin.returns.moments.ReturnsMoments.Estimator)
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer (implements dev.nm.solver.multivariate.unconstrained.IterativeMinimizer<P>)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.SimpleMatrixMathOperation (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation)
- dev.nm.stat.markovchain.SimpleMC (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.solver.multivariate.unconstrained.annealing.temperaturefunction.SimpleTemperatureFunction (implements dev.nm.solver.multivariate.unconstrained.annealing.temperaturefunction.TemperatureFunction)
- dev.nm.stat.timeseries.datastructure.univariate.realtime.inttime.SimpleTimeSeries (implements dev.nm.stat.timeseries.datastructure.univariate.realtime.inttime.IntTimeTimeSeries)
- dev.nm.solver.multivariate.constrained.integer.linear.cuttingplane.SimplexCuttingPlaneMinimizer (implements dev.nm.solver.multivariate.constrained.ConstrainedMinimizer<P,S>)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SimplexPivoting.Pivot
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.SimplexTable.Label
- dev.nm.analysis.integration.univariate.riemann.newtoncotes.Simpson (implements dev.nm.analysis.integration.univariate.riemann.IterativeIntegrator)
- dev.nm.solver.multivariate.unconstrained.annealing.SimulatedAnnealingMinimizer (implements dev.nm.solver.multivariate.unconstrained.IterativeMinimizer<P>)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.dqds.SingularValueByDQDS
- dev.nm.stat.descriptive.moment.Skewness (implements dev.nm.stat.descriptive.Statistic)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.SOCPDualProblem (implements dev.nm.solver.multivariate.constrained.problem.ConstrainedOptimProblem)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.SOCPDualProblem.EqualityConstraints (implements dev.nm.solver.multivariate.constrained.constraint.EqualityConstraints)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.SOCPGeneralConstraint
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.SOCPGeneralConstraints (implements java.lang.Iterable<T>)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.SOCPPortfolioConstraint (implements java.lang.Iterable<T>, dev.nm.analysis.function.rn2r1.RealScalarFunction)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.SOCPPortfolioConstraint.Variable
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.SOCPPortfolioObjectiveFunction (implements dev.nm.analysis.function.rn2r1.RealScalarFunction)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SORSweep
- dev.nm.misc.datastructure.SortableArray (implements java.lang.Comparable<T>)
- dev.nm.analysis.function.tuple.SortedOrderedPairs (implements dev.nm.analysis.function.tuple.OrderedPairs)
- dev.nm.graph.type.SparseGraph<V,E> (implements dev.nm.graph.Graph<V,E>)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix.Entry
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix.ValueArray
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrixUtils
- dev.nm.graph.type.SparseTree<V> (implements dev.nm.graph.RootedTree<V,E>)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseVector (implements java.lang.Iterable<T>, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure, dev.nm.algebra.linear.vector.doubles.Vector)
- dev.nm.algebra.linear.vector.doubles.operation.Basis
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseVector.Entry
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseVector.Iterator (implements java.util.Iterator<E>)
- dev.nm.stat.descriptive.correlation.SpearmanRankCorrelation (implements dev.nm.stat.descriptive.Statistic)
- dev.nm.solver.multivariate.constrained.general.sqp.activeset.SQPActiveSetMinimizer (implements dev.nm.solver.multivariate.constrained.ConstrainedMinimizer<P,S>)
- dev.nm.solver.multivariate.constrained.general.sqp.activeset.SQPActiveSetMinimizer.Solution (implements dev.nm.solver.IterativeSolution<S>)
- dev.nm.solver.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetOnlyEqualityConstraint1Minimizer (implements dev.nm.solver.multivariate.constrained.ConstrainedMinimizer<P,S>)
- dev.nm.solver.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation1 (implements dev.nm.solver.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation)
- dev.nm.solver.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation2
- dev.nm.solver.multivariate.constrained.general.sqp.activeset.SQPASVariation1 (implements dev.nm.solver.multivariate.constrained.general.sqp.activeset.SQPASVariation)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.SSORPreconditioner (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner)
- dev.nm.analysis.integration.univariate.riemann.substitution.StandardInterval (implements dev.nm.analysis.integration.univariate.riemann.substitution.SubstitutionRule)
- dev.nm.stat.dlm.univariate.StateEquation
- dev.nm.solver.multivariate.unconstrained.c2.steepestdescent.SteepestDescentMinimizer (implements dev.nm.solver.multivariate.unconstrained.c2.IterativeC2Minimizer)
- dev.nm.solver.multivariate.unconstrained.c2.steepestdescent.SteepestDescentMinimizer.SteepestDescentImpl (implements dev.nm.solver.IterativeSolution<S>)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.SteepestDescentSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.misc.StringUtils
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3.SturmCount
- dev.nm.analysis.function.SubFunction<R> (implements dev.nm.analysis.function.Function<D,R>)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.SubMatrixBlock
- dev.nm.algebra.linear.matrix.doubles.operation.SubMatrixRef (implements dev.nm.algebra.linear.matrix.doubles.Matrix)
- dev.nm.solver.multivariate.constrained.SubProblemMinimizer (implements dev.nm.solver.multivariate.constrained.ConstrainedMinimizer<P,S>)
- dev.nm.algebra.linear.vector.doubles.SubVectorRef
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SuccessiveOverrelaxationSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.analysis.sequence.Summation
- tech.nmfin.portfoliooptimization.corvalan2005.diversification.SumOfPoweredWeights (implements tech.nmfin.portfoliooptimization.corvalan2005.diversification.DiversificationMeasure)
- tech.nmfin.portfoliooptimization.corvalan2005.diversification.SumOfSquaredWeights (implements tech.nmfin.portfoliooptimization.corvalan2005.diversification.DiversificationMeasure)
- tech.nmfin.portfoliooptimization.corvalan2005.diversification.SumOfWLogW (implements tech.nmfin.portfoliooptimization.corvalan2005.diversification.DiversificationMeasure)
- dev.nm.algebra.linear.matrix.doubles.factorization.svd.SVD (implements dev.nm.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition)
- dev.nm.algebra.linear.matrix.doubles.factorization.svd.mr3.SVDbyMR3 (implements dev.nm.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3.SymmetricEigenByMR3 (implements dev.nm.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3.SymmetricEigenFor2x2Matrix (implements dev.nm.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.triangle.SymmetricMatrix (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix)
- dev.nm.analysis.differentiation.multivariate.BorderedHessian
- dev.nm.analysis.differentiation.multivariate.Hessian
- dev.nm.algebra.linear.matrix.doubles.matrixtype.HilbertMatrix
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr.SymmetricQRAlgorithm (implements dev.nm.algebra.linear.matrix.doubles.factorization.eigen.Spectrum)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SymmetricSuccessiveOverrelaxationSolver (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver)
- dev.nm.algebra.linear.matrix.doubles.factorization.svd.SymmetricSVD (implements dev.nm.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition)
- dev.nm.algebra.linear.matrix.doubles.factorization.diagonalization.SymmetricTridiagonalDecomposition
- dev.nm.stat.descriptive.SynchronizedStatistic (implements dev.nm.stat.descriptive.Statistic)
- dev.nm.stat.covariance.nlshrink.TauEstimator
- dev.nm.stat.distribution.univariate.TDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.random.rng.univariate.ThinRNG (implements dev.nm.stat.random.rng.univariate.RandomNumberGenerator)
- dev.nm.stat.random.rng.multivariate.ThinRVG (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- dev.nm.algebra.linear.matrix.doubles.linearsystem.ThomasAlgorithm
- java.lang.Throwable (implements java.io.Serializable)
- dev.nm.combinatorics.Ties<T>
- tech.nmfin.portfoliooptimization.TopNOptimizationAlgorithm (implements tech.nmfin.portfoliooptimization.PortfolioOptimizationAlgorithm)
- tech.nmfin.meanreversion.cointegration.TradingPair
- dev.nm.graph.algorithm.traversal.TraversalFromRoots<V> (implements dev.nm.graph.algorithm.traversal.GraphTraversal<V>)
- dev.nm.graph.algorithm.traversal.BFS<V> (implements dev.nm.graph.algorithm.traversal.GraphTraversal<V>)
- dev.nm.graph.algorithm.traversal.DFS<V> (implements dev.nm.graph.algorithm.traversal.GraphTraversal<V>)
- dev.nm.stat.distribution.univariate.TriangularDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr.TridiagonalDeflationSearch
- dev.nm.algebra.linear.matrix.doubles.factorization.diagonalization.TriDiagonalization
- dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.diagonal.TridiagonalMatrix
- dev.nm.geometry.TrigMath
- dev.nm.analysis.function.tuple.Triple
- dev.nm.stat.distribution.univariate.TruncatedNormalDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- tech.nmfin.portfoliooptimization.clm.TurningPoint
- dev.nm.combinatorics.Twiddle<T> (implements java.lang.Iterable<T>)
- dev.nm.stat.regression.linear.lasso.UnconstrainedLASSObyCoordinateDescent (implements dev.nm.stat.regression.linear.LinearModel)
- dev.nm.stat.regression.linear.lasso.UnconstrainedLASSObyQP (implements dev.nm.stat.regression.linear.LinearModel)
- dev.nm.stat.random.rng.multivariate.UniformDistributionOverBox (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- dev.nm.solver.multivariate.initialization.UniformDistributionOverBox1 (implements dev.nm.solver.multivariate.initialization.InitialsFactory)
- dev.nm.solver.multivariate.initialization.UniformDistributionOverBox2 (implements dev.nm.solver.multivariate.initialization.InitialsFactory)
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.simplegrid.firstgeneration.UniformMeshOverRegion (implements dev.nm.solver.multivariate.geneticalgorithm.minimizer.simplegrid.firstgeneration.FirstGeneration)
- dev.nm.stat.random.rng.univariate.uniform.UniformRNG (implements dev.nm.stat.random.rng.univariate.RandomLongGenerator)
- dev.nm.stat.stochasticprocess.timegrid.UnitGrid (implements dev.nm.stat.stochasticprocess.timegrid.TimeGrid)
- dev.nm.stat.timeseries.datastructure.univariate.UnivariateTimeSeries.Entry<T> (implements dev.nm.stat.timeseries.datastructure.TimeSeries.Entry<T,V>)
- dev.nm.stat.timeseries.datastructure.univariate.UnivariateTimeSeriesUtils
- dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix (implements dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix)
- dev.nm.stat.random.rng.univariate.beta.VanDerWaerden1969 (implements dev.nm.stat.random.rng.univariate.beta.RandomBetaGenerator)
- dev.nm.stat.descriptive.moment.Variance (implements dev.nm.stat.descriptive.Statistic)
- dev.nm.stat.timeseries.linear.multivariate.arima.VARIMASim (implements dev.nm.stat.random.rng.multivariate.RandomVectorGenerator)
- dev.nm.stat.timeseries.linear.multivariate.arima.VARIMAXModel
- dev.nm.stat.timeseries.linear.multivariate.arima.VARIMAModel
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VARMAModel
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VARModel
- tech.nmfin.portfoliooptimization.lai2010.fit.SimpleAR1Fit (implements tech.nmfin.portfoliooptimization.lai2010.fit.ResamplerModel)
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VARFit
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VARLinearRepresentation
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VMAModel
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VARMAXModel
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VARXModel
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VARMAForecastOneStep
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VECM
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VECMLongrun
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VECMTransitory
- dev.nm.algebra.linear.vector.doubles.operation.VectorFactory
- dev.nm.algebra.linear.vector.doubles.dense.VectorMathOperation
- dev.nm.graph.type.VertexTree<T> (implements dev.nm.graph.RootedTree<V,E>)
- dev.nm.stat.hmm.Viterbi
- dev.nm.stat.timeseries.linear.multivariate.stationaryprocess.arma.VMAInvertibility
- dev.nm.analysis.differentialequation.pde.finitedifference.hyperbolic.dim1.WaveEquation1D (implements dev.nm.analysis.differentialequation.pde.PDE)
- dev.nm.analysis.differentialequation.pde.finitedifference.hyperbolic.dim2.WaveEquation2D (implements dev.nm.analysis.differentialequation.pde.PDE)
- dev.nm.stat.distribution.univariate.WeibullDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.descriptive.moment.weighted.WeightedMean (implements dev.nm.stat.descriptive.Statistic)
- dev.nm.stat.regression.WeightedRSS
- dev.nm.stat.descriptive.moment.weighted.WeightedVariance (implements dev.nm.stat.descriptive.Statistic)
- dev.nm.stat.test.rank.wilcoxon.WilcoxonRankSumDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.test.rank.wilcoxon.WilcoxonSignedRankDistribution (implements dev.nm.stat.distribution.univariate.ProbabilityDistribution)
- dev.nm.stat.random.rng.univariate.gamma.XiTanLiu2010a (implements dev.nm.stat.random.rng.univariate.gamma.RandomGammaGenerator)
- dev.nm.stat.random.rng.univariate.gamma.XiTanLiu2010b (implements dev.nm.stat.random.rng.univariate.gamma.RandomGammaGenerator)
- dev.nm.stat.stochasticprocess.univariate.sde.XtAdaptedFunction (implements dev.nm.stat.stochasticprocess.univariate.sde.FtAdaptedFunction)
- dev.nm.stat.stochasticprocess.multivariate.sde.coefficients.ZeroDriftVector (implements dev.nm.stat.stochasticprocess.multivariate.sde.coefficients.DriftVector)
- dev.nm.stat.random.rng.univariate.normal.Ziggurat2000 (implements dev.nm.stat.random.rng.univariate.normal.RandomStandardNormalGenerator)
- dev.nm.stat.random.rng.univariate.exp.Ziggurat2000Exp (implements dev.nm.stat.random.rng.univariate.exp.RandomExpGenerator)
- dev.nm.stat.random.rng.univariate.normal.Zignor2005 (implements dev.nm.stat.random.rng.univariate.normal.RandomStandardNormalGenerator)
Interface Hierarchy
- dev.nm.algebra.structure.AbelianGroup<G>
- dev.nm.algebra.structure.BanachSpace<B,F>
- dev.nm.algebra.structure.Field<F>
- dev.nm.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends dev.nm.algebra.linear.matrix.generic.GenericMatrixAccess<F>, dev.nm.algebra.structure.Ring<R>, dev.nm.misc.datastructure.Table, dev.nm.algebra.structure.VectorSpace<V,F>)
- dev.nm.algebra.structure.HilbertSpace<H,F>
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixRing, dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.MatrixRing
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.structure.Ring<R> (also extends dev.nm.algebra.structure.Monoid<G>)
- dev.nm.algebra.structure.Field<F>
- dev.nm.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends dev.nm.algebra.linear.matrix.generic.GenericMatrixAccess<F>, dev.nm.misc.datastructure.Table, dev.nm.algebra.structure.VectorSpace<V,F>)
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixRing, dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.MatrixRing
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.vector.doubles.Vector (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.structure.HilbertSpace<H,F>)
- dev.nm.algebra.structure.VectorSpace<V,F>
- dev.nm.analysis.differentialequation.ode.ivp.solver.multistep.adamsbashforthmoulton.ABMPredictorCorrector
- dev.nm.misc.algorithm.bb.ActiveList
- dev.nm.solver.multivariate.unconstrained.annealing.annealingfunction.AnnealingFunction
- dev.nm.stat.timeseries.linear.univariate.stationaryprocess.arma.ARMAFit
- dev.nm.stat.regression.linear.glm.modelselection.BackwardElimination.Step
- dev.nm.misc.algorithm.bb.BBNode
- dev.nm.analysis.curvefit.interpolation.bivariate.BicubicInterpolation.PartialDerivatives
- dev.nm.algebra.linear.matrix.doubles.factorization.diagonalization.BiDiagonalization
- dev.nm.analysis.curvefit.interpolation.bivariate.BivariateGrid
- dev.nm.analysis.curvefit.interpolation.bivariate.BivariateGridInterpolation
- dev.nm.analysis.differentiation.differentiability.C1
- dev.nm.analysis.differentiation.differentiability.C2
- dev.nm.solver.problem.C2OptimProblem (also extends dev.nm.analysis.differentiation.differentiability.C2, dev.nm.solver.problem.OptimProblem)
- tech.nmfin.portfoliooptimization.lai2010.ceta.Ceta.PortfolioMomentsEstimator
- dev.nm.algebra.linear.matrix.doubles.factorization.triangle.cholesky.Cholesky
- java.lang.Comparable<T>
- dev.nm.solver.multivariate.geneticalgorithm.Chromosome
- dev.nm.number.doublearray.CompositeDoubleArrayOperation.ImplementationChooser
- dev.nm.solver.multivariate.constrained.constraint.Constraints
- dev.nm.analysis.function.rn2r1.univariate.ContinuedFraction.Partials
- tech.nmfin.portfoliooptimization.corvalan2005.Corvalan2005.WeightsConstraint
- dev.nm.stat.covariance.covarianceselection.CovarianceSelectionSolver
- dev.nm.analysis.curvefit.interpolation.univariate.CubicHermite.Tangent
- dev.nm.analysis.curvefit.CurveFitting
- dev.nm.misc.DeepCopyable
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.algebra.linear.matrix.doubles.MatrixRing, dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.vector.doubles.Vector (also extends dev.nm.algebra.structure.HilbertSpace<H,F>)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr.DefaultDeflationCriterion.MatrixNorm
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr.DeflationCriterion
- dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplication
- dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.multiplication.DenseMatrixMultiplicationByBlock.BlockAlgorithm
- dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.analysis.differentialequation.ode.ivp.problem.DerivativeFunction
- dev.nm.stat.stochasticprocess.multivariate.sde.coefficients.DiffusionMatrix
- dev.nm.stat.stochasticprocess.univariate.sde.discrete.DiscreteSDE
- tech.nmfin.portfoliooptimization.corvalan2005.diversification.DiversificationMeasure
- dev.nm.number.doublearray.DoubleArrayOperation
- dev.nm.number.DoubleUtils.ifelse
- dev.nm.number.DoubleUtils.which
- dev.nm.stat.random.Estimator
- tech.nmfin.meanreversion.daspremont2008.ExtremalGeneralizedEigenvalueSolver
- dev.nm.stat.evt.exi.ExtremalIndexEstimation
- dev.nm.dsp.univariate.operation.system.doubles.Filter
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.simplegrid.firstgeneration.FirstGeneration
- dev.nm.stat.regression.linear.glm.modelselection.ForwardSelection.Step
- dev.nm.stat.stochasticprocess.univariate.sde.FtAdaptedFunction
- dev.nm.stat.stochasticprocess.univariate.sde.coefficients.Diffusion
- dev.nm.stat.stochasticprocess.univariate.sde.coefficients.Drift
- dev.nm.stat.stochasticprocess.multivariate.sde.FtAdaptedRealFunction
- dev.nm.stat.stochasticprocess.multivariate.sde.FtAdaptedVectorFunction
- dev.nm.stat.stochasticprocess.multivariate.sde.coefficients.DriftVector
- dev.nm.analysis.function.Function<D,R>
- dev.nm.analysis.function.special.gamma.Gamma
- dev.nm.analysis.integration.univariate.riemann.gaussian.rule.GaussianQuadratureRule
- dev.nm.algebra.linear.matrix.generic.GenericMatrixAccess<F>
- dev.nm.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends dev.nm.algebra.structure.Ring<R>, dev.nm.misc.datastructure.Table, dev.nm.algebra.structure.VectorSpace<V,F>)
- dev.nm.graph.community.GirvanNewman.EdgeBetweenessCtor<V>
- dev.nm.stat.regression.linear.glm.distribution.GLMExponentialDistribution
- dev.nm.stat.regression.linear.glm.GLMFitting
- dev.nm.graph.Graph<V,E>
- dev.nm.graph.algorithm.traversal.GraphTraversal<V>
- dev.nm.graph.GraphUtils.EdgeFactory<V,N,E,X>
- dev.nm.graph.GraphUtils.GraphFactory<G>
- dev.nm.solver.univariate.GridSearchMinimizer.GridDefinition
- dev.nm.graph.HyperEdge<V>
- dev.nm.solver.multivariate.constrained.integer.linear.bb.ILPBranchAndBoundMinimizer.ActiveListFactory
- dev.nm.solver.multivariate.initialization.InitialsFactory
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.IntegerConstraint
- dev.nm.analysis.integration.univariate.riemann.Integrator
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.InverseIteration.StoppingCriterion
- java.lang.Iterable<T>
- dev.nm.misc.parallel.IterationBody<T>
- dev.nm.misc.algorithm.iterative.monitor.IterationMonitor<S>
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.IterativeLinearSystemSolver
- dev.nm.misc.algorithm.iterative.IterativeMethod<S>
- dev.nm.stat.cointegration.JohansenAsymptoticDistribution.F
- dev.nm.analysis.curvefit.LeastSquares.Weighting
- dev.nm.stat.regression.linear.LinearModel
- dev.nm.algebra.linear.matrix.doubles.linearsystem.LinearSystemSolver.Solution
- dev.nm.solver.multivariate.unconstrained.c2.linesearch.LineSearch.Solution
- dev.nm.stat.regression.linear.glm.distribution.link.LinkFunction
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.local.LocalSearchCellFactory.MinimizerFactory<U>
- dev.nm.misc.parallel.LoopBody
- dev.nm.algebra.linear.matrix.doubles.factorization.triangle.LUDecomposition
- tech.nmfin.portfoliooptimization.clm.MarkowitzCriticalLine
- dev.nm.algebra.linear.matrix.doubles.matrixtype.mathoperation.MatrixMathOperation
- dev.nm.solver.MaximizationSolution<T>
- dev.nm.stat.evt.evd.univariate.fitting.MaximumLikelihoodFitting
- dev.nm.stat.random.MeanEstimator
- tech.nmfin.meanreversion.volarb.MeanEstimator
- dev.nm.stat.random.rng.multivariate.mcmc.metropolis.MetropolisHastings.ProposalDensityFunction
- dev.nm.solver.MinimizationSolution<T>
- dev.nm.solver.multivariate.minmax.MinMaxProblem<T>
- dev.nm.stat.hmm.mixture.distribution.MixtureDistribution
- dev.nm.algebra.structure.Monoid<G>
- dev.nm.algebra.structure.Field<F>
- dev.nm.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends dev.nm.algebra.linear.matrix.generic.GenericMatrixAccess<F>, dev.nm.algebra.structure.Ring<R>, dev.nm.misc.datastructure.Table, dev.nm.algebra.structure.VectorSpace<V,F>)
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixRing, dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.MatrixRing
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.structure.Ring<R> (also extends dev.nm.algebra.structure.AbelianGroup<G>)
- dev.nm.algebra.structure.Field<F>
- dev.nm.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends dev.nm.algebra.linear.matrix.generic.GenericMatrixAccess<F>, dev.nm.misc.datastructure.Table, dev.nm.algebra.structure.VectorSpace<V,F>)
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixRing, dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.MatrixRing
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- tech.nmfin.meanreversion.volarb.MRModel
- dev.nm.misc.datastructure.MultiDimensionalCollection<T>
- dev.nm.stat.stochasticprocess.multivariate.sde.discrete.MultivariateDiscreteSDE
- dev.nm.analysis.curvefit.interpolation.multivariate.MultivariateGrid
- dev.nm.analysis.curvefit.interpolation.multivariate.MultivariateGridInterpolation
- dev.nm.stat.distribution.multivariate.MultivariateProbabilityDistribution
- tech.nmfin.portfoliooptimization.lai2010.optimizer.MVOptimizer
- dev.nm.number.NumberUtils.Comparable<T>
- dev.nm.analysis.differentialequation.ode.ivp.solver.ODEIntegrator
- dev.nm.analysis.differentialequation.ode.ivp.solver.ODESolver
- dev.nm.analysis.curvefit.interpolation.OnlineInterpolator
- dev.nm.solver.Optimizer<P,S>
- dev.nm.solver.multivariate.constrained.BoxMinimizer<P,S>
- tech.nmfin.portfoliooptimization.lai2010.ceta.maximizer.CetaMaximizer
- dev.nm.solver.multivariate.constrained.ConstrainedMinimizer<P,S>
- dev.nm.solver.multivariate.constrained.BoxMinimizer<P,S>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer
- dev.nm.solver.multivariate.constrained.integer.IPMinimizer<T,S>
- dev.nm.solver.multivariate.unconstrained.c2.IterativeC2Minimizer
- dev.nm.solver.multivariate.unconstrained.IterativeMinimizer<P>
- dev.nm.solver.multivariate.unconstrained.c2.linesearch.LineSearch
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
- dev.nm.solver.Maxmizer<P,S>
- dev.nm.solver.Minimizer<P,S>
- dev.nm.solver.multivariate.constrained.BoxMinimizer<P,S>
- dev.nm.solver.multivariate.constrained.ConstrainedMinimizer<P,S>
- dev.nm.solver.multivariate.constrained.BoxMinimizer<P,S>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer
- dev.nm.solver.multivariate.constrained.integer.IPMinimizer<T,S>
- dev.nm.solver.multivariate.unconstrained.c2.IterativeC2Minimizer
- dev.nm.solver.multivariate.unconstrained.IterativeMinimizer<P>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.LPSolver<P,S>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPSimplexSolver<P>
- dev.nm.solver.multivariate.unconstrained.MultivariateMinimizer<P,S>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer
- dev.nm.solver.univariate.UnivariateMinimizer
- dev.nm.solver.multivariate.minmax.MinMaxMinimizer<T>
- dev.nm.solver.multivariate.unconstrained.MultivariateMinimizer<P,S>
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.solver.QPMinimizer
- dev.nm.solver.univariate.UnivariateMinimizer
- dev.nm.solver.problem.OptimProblem
- dev.nm.solver.problem.C2OptimProblem (also extends dev.nm.analysis.differentiation.differentiability.C2)
- dev.nm.solver.multivariate.constrained.problem.ConstrainedOptimProblem
- dev.nm.solver.multivariate.constrained.ConstrainedOptimSubProblem
- dev.nm.solver.multivariate.constrained.integer.linear.problem.ILPProblem (also extends dev.nm.solver.multivariate.constrained.integer.IPProblem, dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
- dev.nm.solver.multivariate.constrained.integer.IPProblem
- dev.nm.solver.multivariate.constrained.integer.linear.problem.ILPProblem (also extends dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem
- dev.nm.solver.multivariate.constrained.integer.linear.problem.ILPProblem (also extends dev.nm.solver.multivariate.constrained.integer.IPProblem)
- dev.nm.solver.multivariate.constrained.ConstrainedOptimSubProblem
- dev.nm.solver.multivariate.constrained.integer.linear.problem.ILPProblem (also extends dev.nm.solver.multivariate.constrained.integer.IPProblem, dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
- dev.nm.solver.multivariate.constrained.integer.IPProblem
- dev.nm.solver.multivariate.constrained.integer.linear.problem.ILPProblem (also extends dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem)
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.problem.LPProblem
- dev.nm.solver.multivariate.constrained.integer.linear.problem.ILPProblem (also extends dev.nm.solver.multivariate.constrained.integer.IPProblem)
- dev.nm.analysis.function.tuple.OrderedPairs
- dev.nm.analysis.integration.univariate.riemann.gaussian.rule.OrthogonalPolynomialFamily
- dev.nm.stat.stochasticprocess.univariate.sde.process.ou.OUFitting
- dev.nm.stat.stochasticprocess.univariate.sde.process.ou.OUProcess
- tech.nmfin.meanreversion.cointegration.check.PairingCheck
- tech.nmfin.meanreversion.cointegration.PairingModel
- dev.nm.stat.regression.linear.panel.PanelData.Transformation
- dev.nm.stat.regression.linear.panel.PanelRegression
- dev.nm.stat.random.sampler.resampler.bootstrap.block.PattonPolitisWhite2009ForObject.AutoCorrelationForObject
- dev.nm.stat.random.sampler.resampler.bootstrap.block.PattonPolitisWhite2009ForObject.AutoCovarianceForObject
- dev.nm.stat.factor.pca.PCA
- dev.nm.analysis.differentialequation.pde.PDE
- dev.nm.analysis.differentialequation.pde.finitedifference.PDESolutionGrid2D
- dev.nm.analysis.differentialequation.pde.finitedifference.PDESolutionTimeSpaceGrid1D
- dev.nm.analysis.differentialequation.pde.finitedifference.PDESolutionTimeSpaceGrid2D
- dev.nm.analysis.differentialequation.pde.PDESolver
- dev.nm.solver.multivariate.constrained.general.penaltymethod.PenaltyMethodMinimizer.PenaltyFunctionFactory
- dev.nm.geometry.polyline.PolygonalChain
- dev.nm.analysis.function.polynomial.root.PolyRootSolver
- tech.nmfin.portfoliooptimization.PortfolioOptimizationAlgorithm
- tech.nmfin.portfoliooptimization.PortfolioOptimizationAlgorithm.CovarianceEstimator
- tech.nmfin.portfoliooptimization.PortfolioOptimizationAlgorithm.MeanEstimator
- tech.nmfin.portfoliooptimization.PortfolioOptimizationAlgorithm.SymbolLookup
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.problem.portfoliooptimization.PortfolioRiskExactSigma.MatrixRoot
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.Preconditioner
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.PreconditionerFactory
- dev.nm.stat.distribution.univariate.ProbabilityDistribution
- tech.nmfin.portfoliooptimization.markowitz.constraints.QPConstraint
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.QPSolution
- dev.nm.algebra.linear.matrix.doubles.factorization.qr.QRDecomposition
- dev.nm.analysis.function.polynomial.root.QuarticRoot.QuarticSolver
- tech.nmfin.portfoliooptimization.lai2010.fit.ResamplerModel
- tech.nmfin.returns.ReturnsCalculator
- tech.nmfin.returns.moments.ReturnsMoments.Estimator
- tech.nmfin.portfoliooptimization.lai2010.ceta.npeb.resampler.ReturnsResamplerFactory
- dev.nm.analysis.differentialequation.ode.ivp.solver.rungekutta.RungeKuttaStepper
- dev.nm.stat.random.Seedable
- dev.nm.analysis.sequence.Sequence
- dev.nm.graph.algorithm.shortestpath.ShortestPath<V>
- dev.nm.solver.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer.NewCellFactoryCtor
- dev.nm.solver.multivariate.constrained.integer.linear.cuttingplane.SimplexCuttingPlaneMinimizer.CutterFactory
- dev.nm.solver.multivariate.constrained.integer.linear.cuttingplane.SimplexCuttingPlaneMinimizer.CutterFactory.Cutter
- dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SimplexPivoting
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix)
- dev.nm.algebra.linear.matrix.doubles.factorization.eigen.Spectrum
- dev.nm.solver.multivariate.constrained.general.sqp.activeset.SQPActiveSetMinimizer.VariationFactory
- dev.nm.solver.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetOnlyEqualityConstraint1Minimizer.VariationFactory
- dev.nm.solver.multivariate.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation
- dev.nm.solver.multivariate.constrained.general.sqp.activeset.SQPASVariation
- dev.nm.analysis.function.special.gaussian.StandardCumulativeNormal
- dev.nm.stat.descriptive.Statistic
- dev.nm.stat.descriptive.StatisticFactory
- dev.nm.misc.algorithm.stopcondition.StopCondition
- dev.nm.solver.multivariate.constrained.SubProblemMinimizer.ConstrainedMinimizerFactory<U>
- dev.nm.analysis.integration.univariate.riemann.substitution.SubstitutionRule
- dev.nm.analysis.sequence.Summation.Term
- dev.nm.algebra.linear.matrix.doubles.factorization.svd.SVDDecomposition
- dev.nm.misc.datastructure.Table
- dev.nm.algebra.linear.matrix.generic.GenericMatrix<T,F> (also extends dev.nm.algebra.linear.matrix.generic.GenericMatrixAccess<F>, dev.nm.algebra.structure.Ring<R>, dev.nm.algebra.structure.VectorSpace<V,F>)
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixRing, dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.MatrixAccess
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixRing, dev.nm.algebra.linear.matrix.doubles.MatrixTable)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.MatrixTable (also extends dev.nm.misc.datastructure.Table)
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixRing)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.MatrixTable (also extends dev.nm.algebra.linear.matrix.doubles.MatrixAccess)
- dev.nm.algebra.linear.matrix.doubles.Matrix (also extends dev.nm.misc.DeepCopyable, dev.nm.algebra.linear.matrix.doubles.MatrixRing)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseMatrix (also extends dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.Densifiable, dev.nm.algebra.linear.matrix.doubles.Matrix, dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse.SparseStructure)
- dev.nm.solver.multivariate.unconstrained.annealing.temperaturefunction.TemperatureFunction
- dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.TemperedAcceptanceProbabilityFunction
- dev.nm.stat.timeseries.datastructure.TimeSeries.Entry<T,V>
- dev.nm.misc.algorithm.iterative.tolerance.Tolerance
- dev.nm.analysis.root.univariate.Uniroot
Enum Hierarchy
Copyright © 2010-2020 NM FinTech Ltd.. All Rights Reserved.