Hierarchy For All Packages

Package Hierarchies:

• org.ddogleg,
• org.ddogleg.chainrule,
• org.ddogleg.chainrule.grid,
• org.ddogleg.chainrule.ops,
• org.ddogleg.chainrule.sym,
• org.ddogleg.clustering,
• org.ddogleg.clustering.gmm,
• org.ddogleg.clustering.kmeans,
• org.ddogleg.clustering.misc,
• org.ddogleg.combinatorics,
• org.ddogleg.fitting.modelset,
• org.ddogleg.fitting.modelset.distance,
• org.ddogleg.fitting.modelset.lmeds,
• org.ddogleg.fitting.modelset.ransac,
• org.ddogleg.graph,
• org.ddogleg.nn,
• org.ddogleg.nn.alg,
• org.ddogleg.nn.alg.distance,
• org.ddogleg.nn.alg.searches,
• org.ddogleg.nn.wrap,
• org.ddogleg.optimization,
• org.ddogleg.optimization.derivative,
• org.ddogleg.optimization.functions,
• org.ddogleg.optimization.lm,
• org.ddogleg.optimization.loss,
• org.ddogleg.optimization.math,
• org.ddogleg.optimization.quasinewton,
• org.ddogleg.optimization.trustregion,
• org.ddogleg.optimization.wrap,
• org.ddogleg.rand,
• org.ddogleg.solver,
• org.ddogleg.solver.impl,
• org.ddogleg.sorting,
• org.ddogleg.stats,
• org.ddogleg.struct,
• org.ddogleg.util

Class Hierarchy

• java.lang.Object
  • org.ddogleg.sorting.ApproximateSort_F32
  • org.ddogleg.sorting.ApproximateSort_F64
  • org.ddogleg.clustering.gmm.AssignGmm_F64 (implements org.ddogleg.clustering.AssignCluster<D>)
  • org.ddogleg.clustering.kmeans.AssignKMeans<P> (implements org.ddogleg.clustering.AssignCluster<D>, java.io.Serializable)
  • org.ddogleg.nn.alg.AxisSplitRuleMax (implements org.ddogleg.nn.alg.AxisSplitRule)
  • org.ddogleg.nn.alg.AxisSplitRuleRandomK (implements org.ddogleg.nn.alg.AxisSplitRule)
  • org.ddogleg.nn.alg.AxisSplitterMedian<P> (implements org.ddogleg.nn.alg.AxisSplitter<P>)
  • org.ddogleg.struct.BigDogArrayBase<Array>
    • org.ddogleg.struct.BigDogArray<T>
    • org.ddogleg.struct.BigDogArray_B
    • org.ddogleg.struct.BigDogArray_F32
    • org.ddogleg.struct.BigDogArray_F64
    • org.ddogleg.struct.BigDogArray_I32
    • org.ddogleg.struct.BigDogArray_I64
    • org.ddogleg.struct.BigDogArray_I8
  • org.ddogleg.optimization.wrap.CachedGradientLineFunction (implements org.ddogleg.optimization.functions.GradientLineFunction)
  • org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction (implements org.ddogleg.optimization.functions.GradientLineFunction)
  • org.ddogleg.struct.CircularArrayBase
    • org.ddogleg.struct.CircularArray<T>
    • org.ddogleg.struct.CircularArray_F32
    • org.ddogleg.struct.CircularArray_F64
    • org.ddogleg.struct.CircularArray_I32
    • org.ddogleg.struct.CircularArray_I64
    • org.ddogleg.struct.CircularArray_I8
  • org.ddogleg.combinatorics.Combinations<T>
  • pabeles.concurrency.ConcurrencyOps
    • org.ddogleg.DDoglegConcurrency
  • org.ddogleg.optimization.ConfigGaussNewton
    • org.ddogleg.optimization.lm.ConfigLevenbergMarquardt
    • org.ddogleg.optimization.trustregion.ConfigTrustRegion
  • org.ddogleg.chainrule.grid.ConfigGridCoefND (implements org.ejml.MapFormattable)
  • org.ddogleg.chainrule.grid.ConfigGridSplineND (implements org.ejml.MapFormattable)
  • org.ddogleg.clustering.ConfigKMeans
  • org.ddogleg.optimization.ConfigLoss
  • org.ddogleg.nn.ConfigNearestNeighborSearch
  • org.ddogleg.nn.ConfigNearestNeighborSearch.KDTree
  • org.ddogleg.nn.ConfigNearestNeighborSearch.RandomForest
  • org.ddogleg.optimization.ConfigNonLinearLeastSquares
  • org.ddogleg.optimization.quasinewton.ConfigQuasiNewton
  • org.ddogleg.optimization.ConvergeOptParam (implements java.io.Serializable)
  • org.ddogleg.sorting.CountingSort
  • org.ddogleg.chainrule.CRArray<A>
  • org.ddogleg.chainrule.ops.CRErrorHuberNorm (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CRErrorVectorSW (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CRLossHuber (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.CRMatrix<A>
  • org.ddogleg.chainrule.ops.CROperatorBilinearND (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
    • org.ddogleg.chainrule.ops.CROperatorBilinearPolyND
    • org.ddogleg.chainrule.ops.CROperatorBilinearSplineND
  • org.ddogleg.chainrule.ops.CROperatorClampLower (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CROperatorConcat (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CROperatorDivide (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CROperatorDivideVS (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CROperatorDivideVSDamped (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CROperatorMeanVector (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CROperatorMult (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CROperatorMultVS (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CROperatorPlus (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CROperatorPlusAB (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CROperatorRemapParams (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.chainrule.ops.CRPenaltyL2 (implements org.ddogleg.chainrule.CROperatorBackwardsJac<T>)
  • org.ddogleg.DDoglegVersion
  • org.ddogleg.optimization.DerivativeChecker
  • org.ddogleg.struct.DogArray_B (implements org.ddogleg.struct.DogArrayPrimitive<T>)
  • org.ddogleg.struct.DogArray_F32 (implements org.ddogleg.struct.DogArrayPrimitive<T>)
  • org.ddogleg.struct.DogArray_F64 (implements org.ddogleg.struct.DogArrayPrimitive<T>)
  • org.ddogleg.struct.DogArray_I16 (implements org.ddogleg.struct.DogArrayPrimitive<T>)
  • org.ddogleg.struct.DogArray_I32 (implements org.ddogleg.struct.DogArrayPrimitive<T>)
  • org.ddogleg.struct.DogArray_I64 (implements org.ddogleg.struct.DogArrayPrimitive<T>)
  • org.ddogleg.struct.DogArray_I8 (implements org.ddogleg.struct.DogArrayPrimitive<T>)
  • org.ddogleg.struct.DogArrayList<T> (implements java.util.List<E>, java.io.Serializable)
  • org.ddogleg.struct.DogArrayList.MyIterator (implements java.util.ListIterator<E>)
  • org.ddogleg.struct.DogLinkedList<T>
  • org.ddogleg.struct.DogLinkedList.Element<T>
  • org.ddogleg.struct.DProcess.DoNothing<T> (implements org.ddogleg.struct.DProcess<T>, java.io.Serializable)
  • org.ddogleg.struct.DProcessIdx.DoNothing<T> (implements org.ddogleg.struct.DProcessIdx<T>, java.io.Serializable)
  • org.ddogleg.graph.Edge<N,E>
  • org.ddogleg.optimization.quasinewton.EquationsBFGS
  • org.ddogleg.clustering.misc.EuclideanSqArrayF64 (implements org.ddogleg.clustering.PointDistance<P>, java.io.Serializable)
  • org.ddogleg.nn.alg.ExhaustiveNeighbor<P>
  • org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64 (implements org.ddogleg.clustering.ComputeClusters<P>)
  • org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64.PointInfo
  • org.ddogleg.clustering.FactoryClustering
  • org.ddogleg.chainrule.FactoryCRArray
  • org.ddogleg.optimization.FactoryLossFunctions
  • org.ddogleg.optimization.FactoryLossFunctions.Funcs
  • org.ddogleg.nn.FactoryNearestNeighbor
  • org.ddogleg.optimization.FactoryNumericalDerivative
  • org.ddogleg.optimization.FactoryOptimization
  • org.ddogleg.optimization.FactoryOptimizationSparse
  • org.ddogleg.struct.FastAccess<T> (implements java.io.Serializable)
    • org.ddogleg.struct.DogArray<T>
    • org.ddogleg.struct.FastArray<T>
  • org.ddogleg.struct.FastArrayList<T> (implements java.util.List<E>, java.io.Serializable)
  • org.ddogleg.struct.FastArrayList.MyIterator (implements java.util.ListIterator<E>)
  • org.ddogleg.solver.impl.FindRealRootsSturm
  • org.ddogleg.fitting.modelset.distance.FitByMeanStatistics<Model,Point> (implements org.ddogleg.fitting.modelset.distance.StatisticalFit<Model,Point>)
  • org.ddogleg.fitting.modelset.distance.FitByMedianStatistics<Model,Point> (implements org.ddogleg.fitting.modelset.distance.StatisticalFit<Model,Point>)
  • org.ddogleg.solver.FitQuadratic1D
  • org.ddogleg.solver.FitQuadratic2D
  • org.ddogleg.solver.FitQuadratic3by3
  • org.ddogleg.clustering.gmm.GaussianGmm_F64 (implements java.io.Serializable)
  • org.ddogleg.clustering.gmm.GaussianLikelihoodManager
  • org.ddogleg.clustering.gmm.GaussianLikelihoodManager.Likelihood
  • org.ddogleg.optimization.GaussNewtonBase_F64<C,HM> (implements org.ddogleg.struct.VerbosePrint)
    • org.ddogleg.optimization.lm.LevenbergMarquardt_F64<S,HM>
      • org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64<S> (implements org.ddogleg.optimization.UnconstrainedLeastSquares<S>)
      • org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64<S> (implements org.ddogleg.optimization.UnconstrainedLeastSquaresSchur<S>)
    • org.ddogleg.optimization.trustregion.TrustRegionBase_F64<S,HM>
      • org.ddogleg.optimization.trustregion.TrustRegionLeastSqBase_F64<S,HM>
        • org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64<S> (implements org.ddogleg.optimization.UnconstrainedLeastSquares<S>)
        • org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64<S> (implements org.ddogleg.optimization.UnconstrainedLeastSquaresSchur<S>)
      • org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64 (implements org.ddogleg.optimization.UnconstrainedMinimization)
  • org.ddogleg.chainrule.GradientNumerical_F64 (implements org.ddogleg.chainrule.GradientNumerical<T>)
  • org.ddogleg.graph.GraphDataManager<N,E>
  • org.ddogleg.chainrule.grid.GridCoefND
  • org.ddogleg.chainrule.grid.GridNdHelper
  • org.ddogleg.optimization.math.HessianMath_DDRM (implements org.ddogleg.optimization.math.HessianMath)
    • org.ddogleg.optimization.math.HessianBFGS_DDRM (implements org.ddogleg.optimization.math.HessianBFGS)
    • org.ddogleg.optimization.math.HessianLeastSquares_DDRM (implements org.ddogleg.optimization.math.HessianLeastSquares<S>)
  • org.ddogleg.optimization.math.HessianMath_DSCC (implements org.ddogleg.optimization.math.HessianMath)
    • org.ddogleg.optimization.math.HessianLeastSquares_DSCC (implements org.ddogleg.optimization.math.HessianLeastSquares<S>)
  • org.ddogleg.optimization.math.HessianSchurComplement_Base<S> (implements org.ddogleg.optimization.math.HessianSchurComplement<S>)
    • org.ddogleg.optimization.math.HessianSchurComplement_DDRM
    • org.ddogleg.optimization.math.HessianSchurComplement_DSCC
  • org.ddogleg.optimization.wrap.Individual_to_CoupledDerivative (implements org.ddogleg.optimization.functions.CoupledDerivative)
  • org.ddogleg.optimization.wrap.Individual_to_CoupledJacobian<S> (implements org.ddogleg.optimization.functions.CoupledJacobian<S>)
  • org.ddogleg.clustering.kmeans.InitializePlusPlus<P> (implements org.ddogleg.clustering.kmeans.InitializeKMeans<P>)
    • org.ddogleg.clustering.kmeans.InitializePlusPlus_MT<P>
  • org.ddogleg.clustering.kmeans.InitializeStandard<P> (implements org.ddogleg.clustering.kmeans.InitializeKMeans<P>)
  • org.ddogleg.chainrule.JacobianChainGraph<T> (implements org.ddogleg.struct.VerbosePrint)
  • org.ddogleg.chainrule.JacobianChainGraph.Forward
  • org.ddogleg.chainrule.JacobianChainGraph.GraphConstructor
  • org.ddogleg.chainrule.JacobianNumerical_F64 (implements org.ddogleg.chainrule.JacobianNumerical<T>)
  • org.ddogleg.chainrule.JacobianSerialChain<T> (implements org.ddogleg.struct.VerbosePrint)
  • org.ddogleg.chainrule.JacobianSerialChain.Block<T>
  • org.ddogleg.chainrule.JacobianSerialChain.Chain
  • org.ddogleg.nn.wrap.KdForestBbfNearestNeighbor<P> (implements org.ddogleg.nn.NearestNeighbor<P>)
  • org.ddogleg.nn.alg.KdTree
  • org.ddogleg.nn.alg.KdTree.Node
  • org.ddogleg.nn.alg.KdTreeConstructor<P>
  • org.ddogleg.nn.alg.distance.KdTreeEuclideanSq_F64 (implements org.ddogleg.nn.alg.KdTreeDistance<P>)
  • org.ddogleg.nn.alg.distance.KdTreeEuclideanSq_U8 (implements org.ddogleg.nn.alg.KdTreeDistance<P>)
  • org.ddogleg.nn.wrap.KdTreeInternalSearch<P> (implements org.ddogleg.nn.NearestNeighbor.Search<P>)
  • org.ddogleg.nn.alg.KdTreeMemory<P>
  • org.ddogleg.nn.wrap.KdTreeNearestNeighbor<P> (implements org.ddogleg.nn.NearestNeighbor<P>)
  • org.ddogleg.nn.alg.KdTreeResult
  • org.ddogleg.nn.alg.searches.KdTreeSearch1Standard<P> (implements org.ddogleg.nn.alg.KdTreeSearch1<P>)
  • org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst<P>
    • org.ddogleg.nn.alg.searches.KdTreeSearch1Bbf<P> (implements org.ddogleg.nn.alg.KdTreeSearch1<P>)
    • org.ddogleg.nn.alg.searches.KdTreeSearchNBbf<P> (implements org.ddogleg.nn.alg.KdTreeSearchN<P>)
  • org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst.Helper (implements java.lang.Comparable<T>)
  • org.ddogleg.nn.alg.searches.KdTreeSearchNStandard<P> (implements org.ddogleg.nn.alg.KdTreeSearchN<P>)
  • org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares<Model,Point> (implements org.ddogleg.fitting.modelset.InlierFraction, org.ddogleg.fitting.modelset.ModelMatcherPost<Model,Point>)
    • org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares_MT<Model,Point>
  • org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares.TrialHelper
  • org.ddogleg.optimization.LeastSquaresSwitcher<S>
  • org.ddogleg.optimization.quasinewton.LineSearchFletcher86 (implements org.ddogleg.optimization.LineSearch)
  • org.ddogleg.optimization.quasinewton.LineSearchMore94 (implements org.ddogleg.optimization.LineSearch)
  • org.ddogleg.clustering.misc.ListAccessor<P> (implements org.ddogleg.struct.LArrayAccessor<P>)
  • org.ddogleg.optimization.loss.LossFunctionBase
    • org.ddogleg.optimization.loss.LossCauchy
      • org.ddogleg.optimization.loss.LossCauchy.Function (implements org.ddogleg.optimization.loss.LossFunction)
      • org.ddogleg.optimization.loss.LossCauchy.Gradient (implements org.ddogleg.optimization.loss.LossFunctionGradient)
    • org.ddogleg.optimization.loss.LossHuber
      • org.ddogleg.optimization.loss.LossHuber.Function (implements org.ddogleg.optimization.loss.LossFunction)
      • org.ddogleg.optimization.loss.LossHuber.Gradient (implements org.ddogleg.optimization.loss.LossFunctionGradient)
    • org.ddogleg.optimization.loss.LossHuberSmooth
      • org.ddogleg.optimization.loss.LossHuberSmooth.Function (implements org.ddogleg.optimization.loss.LossFunction)
      • org.ddogleg.optimization.loss.LossHuberSmooth.Gradient (implements org.ddogleg.optimization.loss.LossFunctionGradient)
    • org.ddogleg.optimization.loss.LossIdentity
      • org.ddogleg.optimization.loss.LossIdentity.Function (implements org.ddogleg.optimization.loss.LossFunction)
      • org.ddogleg.optimization.loss.LossIdentity.Gradient (implements org.ddogleg.optimization.loss.LossFunctionGradient)
    • org.ddogleg.optimization.loss.LossSquared
      • org.ddogleg.optimization.loss.LossSquared.Function (implements org.ddogleg.optimization.loss.LossFunction)
      • org.ddogleg.optimization.loss.LossSquared.Gradient (implements org.ddogleg.optimization.loss.LossFunctionGradient)
    • org.ddogleg.optimization.loss.LossTukey
      • org.ddogleg.optimization.loss.LossTukey.Function (implements org.ddogleg.optimization.loss.LossFunction)
      • org.ddogleg.optimization.loss.LossTukey.Gradient (implements org.ddogleg.optimization.loss.LossFunctionGradient)
  • org.ddogleg.optimization.loss.LossWeighted (implements org.ddogleg.optimization.loss.LossFunction, org.ddogleg.optimization.loss.LossFunctionGradient)
    • org.ddogleg.optimization.loss.LossIRLS
  • org.ddogleg.optimization.wrap.LsToNonLinear (implements org.ddogleg.optimization.functions.FunctionNtoS)
  • org.ddogleg.optimization.wrap.LsToNonLinearDeriv<S> (implements org.ddogleg.optimization.functions.FunctionNtoN)
  • org.ddogleg.chainrule.MathCRMatrixD (implements org.ddogleg.chainrule.MathCRMatrix<T>)
  • org.ddogleg.optimization.math.MatrixMath_DDRM (implements org.ddogleg.optimization.math.MatrixMath<S>)
  • org.ddogleg.optimization.math.MatrixMath_DSCC (implements org.ddogleg.optimization.math.MatrixMath<S>)
  • org.ddogleg.clustering.misc.MeanArrayF64 (implements org.ddogleg.clustering.ComputeMeanClusters<P>)
  • org.ddogleg.fitting.modelset.ModelManagerDefault<T> (implements org.ddogleg.fitting.modelset.ModelManager<Model>)
  • org.ddogleg.rand.MultivariateGaussianDraw
  • org.ddogleg.nn.NnData<P>
  • org.ddogleg.graph.Node<N,E>
  • org.ddogleg.optimization.derivative.NumericalDerivativeFB (implements org.ddogleg.optimization.functions.FunctionStoS)
  • org.ddogleg.optimization.derivative.NumericalDerivativeForward (implements org.ddogleg.optimization.functions.FunctionStoS)
  • org.ddogleg.optimization.derivative.NumericalGradientFB (implements org.ddogleg.optimization.functions.FunctionNtoN)
  • org.ddogleg.optimization.derivative.NumericalGradientForward (implements org.ddogleg.optimization.functions.FunctionNtoN)
  • org.ddogleg.optimization.derivative.NumericalJacobianFB (implements org.ddogleg.optimization.functions.FunctionNtoMxN<S>)
  • org.ddogleg.optimization.derivative.NumericalJacobianForward_DDRM (implements org.ddogleg.optimization.functions.FunctionNtoMxN<S>)
  • org.ddogleg.optimization.derivative.NumericalJacobianForward_DSCC (implements org.ddogleg.optimization.functions.FunctionNtoMxN<S>)
  • java.io.OutputStream (implements java.io.Closeable, java.io.Flushable)
    • java.io.FilterOutputStream
      • java.io.PrintStream (implements java.lang.Appendable, java.io.Closeable)
        • org.ddogleg.util.PrintStreamInjectIndent
    • org.ddogleg.util.PrintStreamInjectIndent.Injector
  • org.ddogleg.combinatorics.Permute<T>
  • org.ddogleg.fitting.modelset.distance.PointIndex<Point>
  • org.ddogleg.solver.Polynomial
  • org.ddogleg.solver.PolynomialOps
  • org.ddogleg.solver.PolynomialSolver
  • org.ddogleg.util.PrimitiveArrays
  • org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS (implements org.ddogleg.struct.VerbosePrint)
  • org.ddogleg.optimization.wrap.QuasiNewtonBFGS_to_UnconstrainedMinimization (implements org.ddogleg.optimization.UnconstrainedMinimization)
  • org.ddogleg.sorting.QuickSelect
  • org.ddogleg.sorting.QuickSort_F32
  • org.ddogleg.sorting.QuickSort_F64
  • org.ddogleg.sorting.QuickSort_S32
  • org.ddogleg.sorting.QuickSortComparable<T>
  • org.ddogleg.sorting.QuickSortComparator<T>
  • org.ddogleg.sorting.QuickSortObj_F32
  • org.ddogleg.sorting.QuickSortObj_F64
  • org.ddogleg.fitting.modelset.ransac.Ransac<Model,Point> (implements org.ddogleg.fitting.modelset.InlierThreshold, org.ddogleg.fitting.modelset.ModelMatcherPost<Model,Point>)
    • org.ddogleg.fitting.modelset.ransac.Ransac_MT<Model,Point>
  • org.ddogleg.fitting.modelset.ransac.Ransac.TrialHelper
  • org.ddogleg.fitting.modelset.ransac.RansacMulti<Point> (implements org.ddogleg.fitting.modelset.ModelMatcherMulti<Point>)
  • org.ddogleg.fitting.modelset.ransac.RansacMulti.ObjectType<Model,Point>
  • org.ddogleg.struct.RecycleManager<T>
    • org.ddogleg.struct.RecycleManagerL<T>
  • org.ddogleg.solver.impl.RootFinderCompanion (implements org.ddogleg.solver.PolynomialRoots)
  • org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN<T> (implements org.ddogleg.optimization.functions.FunctionNtoMxN<S>)
    • org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN.DDRM
    • org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN.DSCC
  • org.ddogleg.optimization.quasinewton.SearchInterpolate
  • org.ddogleg.clustering.gmm.SeedFromKMeans_F64 (implements org.ddogleg.clustering.gmm.InitializeGmm_F64)
  • org.ddogleg.sorting.ShellSort
  • org.ddogleg.sorting.SortableParameter_F32
  • org.ddogleg.sorting.SortableParameter_F64
  • org.ddogleg.clustering.kmeans.StandardKMeans<P> (implements org.ddogleg.clustering.ComputeClusters<P>)
    • org.ddogleg.clustering.kmeans.StandardKMeans_MT<P>
  • org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher<Model,Point> (implements org.ddogleg.fitting.modelset.ModelMatcher<Model,Point>)
  • org.ddogleg.stats.StatisticsDogArray
  • org.ddogleg.sorting.StraightInsertionSort
  • org.ddogleg.solver.impl.SturmSequence
  • org.ddogleg.util.SwapElement
  • org.ddogleg.chainrule.sym.Sym
  • org.ddogleg.chainrule.sym.SymFunction
  • org.ddogleg.chainrule.sym.SymGraphBuilder
  • org.ddogleg.chainrule.sym.SymGrid
  • org.ddogleg.chainrule.sym.SymGrid.Read
  • org.ddogleg.chainrule.sym.SymOps
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • java.lang.RuntimeException
        • org.ddogleg.optimization.OptimizationException
        • org.ddogleg.struct.Stoppable.Stopped
  • org.ddogleg.optimization.trustregion.TrustRegionUpdateCauchy_F64<S> (implements org.ddogleg.optimization.trustregion.TrustRegionBase_F64.ParameterUpdate<S>)
  • org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64<S> (implements org.ddogleg.optimization.trustregion.TrustRegionBase_F64.ParameterUpdate<S>)
  • org.ddogleg.struct.Tuple2<A,B>
  • org.ddogleg.struct.Tuple3<A,B,C>
  • org.ddogleg.struct.Tuple4<A,B,C,D>
  • org.ddogleg.util.UtilDouble
  • org.ddogleg.stats.UtilGaussian
  • org.ddogleg.optimization.UtilOptimize
  • org.ddogleg.stats.UtilStatisticsInt
  • org.ddogleg.util.VerboseUtils
  • org.ddogleg.nn.alg.VpTree (implements org.ddogleg.nn.NearestNeighbor<P>)
  • org.ddogleg.nn.wrap.WrapExhaustiveNeighbor<P> (implements org.ddogleg.nn.NearestNeighbor<P>)
  • org.ddogleg.solver.impl.WrapRealRootsSturm (implements org.ddogleg.solver.PolynomialRoots)

Interface Hierarchy

• org.ddogleg.optimization.AdjustArray_F64
• org.ddogleg.clustering.AssignCluster<D>
• org.ddogleg.nn.alg.AxisSplitRule
• org.ddogleg.nn.alg.AxisSplitter<P>
• org.ddogleg.struct.BigDogArrayBase.AssignNewArrayElements<Array>
• org.ddogleg.struct.BigDogArrayBase.FunctionEachRange<Array>
• org.ddogleg.struct.BigDogArrayBase.NewArray<Array>
• org.ddogleg.struct.CircularArray_F32.Match
• org.ddogleg.struct.CircularArray_F64.Match
• org.ddogleg.struct.CircularArray_I32.Match
• org.ddogleg.struct.CircularArray_I64.Match
• org.ddogleg.struct.CircularArray_I8.Match
• org.ddogleg.clustering.ComputeClusters<P>
• org.ddogleg.clustering.ComputeMeanClusters<P>
• org.ddogleg.optimization.functions.CoupledDerivative
  • org.ddogleg.optimization.functions.LineSearchFunction
    • org.ddogleg.optimization.functions.GradientLineFunction (also extends org.ddogleg.optimization.functions.CoupledGradient)
• org.ddogleg.optimization.functions.CoupledGradient
  • org.ddogleg.optimization.functions.GradientLineFunction (also extends org.ddogleg.optimization.functions.LineSearchFunction)
• org.ddogleg.chainrule.CROperatorForward<T>
  • org.ddogleg.chainrule.CROperatorBackwardsGrad<T>
  • org.ddogleg.chainrule.CROperatorBackwardsJac<T>
• org.ddogleg.fitting.modelset.DistanceFromModel<Model,Point>
• org.ddogleg.struct.DogArray_B.Filter
• org.ddogleg.struct.DogArray_B.FunctionApplyIdx
• org.ddogleg.struct.DogArray_B.FunctionEach
• org.ddogleg.struct.DogArray_B.FunctionEachIdx
• org.ddogleg.struct.DogArray_F32.Filter
• org.ddogleg.struct.DogArray_F32.FunctionApplyIdx
• org.ddogleg.struct.DogArray_F32.FunctionEach
• org.ddogleg.struct.DogArray_F32.FunctionEachIdx
• org.ddogleg.struct.DogArray_F64.Filter
• org.ddogleg.struct.DogArray_F64.FunctionApplyIdx
• org.ddogleg.struct.DogArray_F64.FunctionEach
• org.ddogleg.struct.DogArray_F64.FunctionEachIdx
• org.ddogleg.struct.DogArray_I16.Filter
• org.ddogleg.struct.DogArray_I16.FunctionApplyIdx
• org.ddogleg.struct.DogArray_I16.FunctionEach
• org.ddogleg.struct.DogArray_I16.FunctionEachIdx
• org.ddogleg.struct.DogArray_I32.Filter
• org.ddogleg.struct.DogArray_I32.FunctionApplyIdx
• org.ddogleg.struct.DogArray_I32.FunctionEach
• org.ddogleg.struct.DogArray_I32.FunctionEachIdx
• org.ddogleg.struct.DogArray_I64.Filter
• org.ddogleg.struct.DogArray_I64.FunctionApplyIdx
• org.ddogleg.struct.DogArray_I64.FunctionEach
• org.ddogleg.struct.DogArray_I64.FunctionEachIdx
• org.ddogleg.struct.DogArray_I8.Filter
• org.ddogleg.struct.DogArray_I8.FunctionApplyIdx
• org.ddogleg.struct.DogArray_I8.FunctionEach
• org.ddogleg.struct.DogArray_I8.FunctionEachIdx
• org.ddogleg.struct.DogArray.Set<S,D>
• org.ddogleg.struct.DogLambdas
• org.ddogleg.struct.DogLambdas.AssignIdx_B
• org.ddogleg.struct.DogLambdas.AssignIdx_F32
• org.ddogleg.struct.DogLambdas.AssignIdx_F64
• org.ddogleg.struct.DogLambdas.AssignIdx_I16
• org.ddogleg.struct.DogLambdas.AssignIdx_I32
• org.ddogleg.struct.DogLambdas.AssignIdx_I64
• org.ddogleg.struct.DogLambdas.AssignIdx_I8
• org.ddogleg.struct.DogLambdas.Copy<P>
• org.ddogleg.struct.DogLambdas.NewInstance<P>
• org.ddogleg.struct.DProcess<T>
• org.ddogleg.struct.DProcessIdx<T>
• org.ddogleg.struct.Factory<T>
• org.ddogleg.struct.FastAccess.FunctionEach<T>
• org.ddogleg.struct.FastAccess.FunctionEachIdx<T>
• org.ddogleg.struct.FastAccess.FunctionMatches<T>
• org.ddogleg.optimization.functions.FunctionInOut
  • org.ddogleg.optimization.functions.CoupledJacobian<S>
  • org.ddogleg.optimization.functions.FunctionNtoM
  • org.ddogleg.optimization.functions.FunctionNtoMxN<S>
  • org.ddogleg.optimization.functions.SchurJacobian<S>
• org.ddogleg.optimization.functions.FunctionNtoN
  • org.ddogleg.optimization.loss.LossFunctionGradient
• org.ddogleg.optimization.functions.FunctionNtoS
  • org.ddogleg.optimization.loss.LossFunction
• org.ddogleg.optimization.functions.FunctionStoS
• org.ddogleg.chainrule.GradientNumerical<T>
• org.ddogleg.optimization.math.HessianMath
  • org.ddogleg.optimization.math.HessianBFGS
  • org.ddogleg.optimization.math.HessianLeastSquares<S>
  • org.ddogleg.optimization.math.HessianSchurComplement<S>
• org.ddogleg.clustering.gmm.InitializeGmm_F64
• org.ddogleg.clustering.kmeans.InitializeKMeans<P>
• org.ddogleg.fitting.modelset.InlierFraction
• org.ddogleg.fitting.modelset.InlierThreshold
• org.ddogleg.chainrule.JacobianNumerical<T>
• org.ddogleg.chainrule.JacobianSerialChain.AddToJacobian<T>
• org.ddogleg.chainrule.JacobianSerialChain.CaptureJacobian<T>
• org.ddogleg.chainrule.JacobianSerialChain.PreForward<T>
• org.ddogleg.nn.alg.KdTreeDistance<P>
• org.ddogleg.nn.alg.KdTreeSearch1<P>
• org.ddogleg.nn.alg.KdTreeSearchN<P>
• org.ddogleg.struct.LArrayAccessor<P>
• org.ddogleg.optimization.LeastSquaresSwitcher.JacobianOut
• org.ddogleg.optimization.LeastSquaresSwitcher.ProcessJacobianOut
• org.ddogleg.optimization.loss.LossIRLS.ComputeWeights
• org.ddogleg.chainrule.MathCRMatrix<T>
• org.ejml.MatrixFormattable
  • org.ddogleg.struct.DogArrayPrimitive<T>
• org.ddogleg.optimization.math.MatrixMath<S>
• org.ddogleg.fitting.modelset.ModelCodec<T>
• org.ddogleg.fitting.modelset.ModelFitter<Model,Point>
• org.ddogleg.fitting.modelset.ModelGenerator<Model,Point>
• org.ddogleg.fitting.modelset.ModelManager<Model>
• org.ddogleg.fitting.modelset.ModelMatcher<Model,Point>
  • org.ddogleg.fitting.modelset.ModelMatcherMulti<Point>
  • org.ddogleg.fitting.modelset.ModelMatcherPost<Model,Point>
• org.ddogleg.nn.NearestNeighbor<P>
• org.ddogleg.nn.NearestNeighbor.Search<P>
• org.ddogleg.optimization.OptimizationDerivative<State>
• org.ddogleg.clustering.PointDistance<P>
• org.ddogleg.solver.PolynomialRoots
• org.ddogleg.util.PrimitiveArrays.FeedbackIdxD
• org.ddogleg.fitting.modelset.ransac.Ransac.InitializeModels<Model,Point>
• java.io.Serializable
  • org.ddogleg.optimization.IterativeOptimization (also extends org.ddogleg.struct.VerbosePrint)
    • org.ddogleg.optimization.LineSearch
    • org.ddogleg.optimization.UnconstrainedLeastSquares<S> (also extends org.ddogleg.optimization.UnconstrainedLeastSquaresBase<S, FunctionJacobian>)
    • org.ddogleg.optimization.UnconstrainedLeastSquaresBase<S, FunctionJacobian>
      • org.ddogleg.optimization.UnconstrainedLeastSquares<S> (also extends org.ddogleg.optimization.IterativeOptimization)
      • org.ddogleg.optimization.UnconstrainedLeastSquaresSchur<S> (also extends org.ddogleg.optimization.IterativeOptimization)
    • org.ddogleg.optimization.UnconstrainedLeastSquaresSchur<S> (also extends org.ddogleg.optimization.UnconstrainedLeastSquaresBase<S, FunctionJacobian>)
    • org.ddogleg.optimization.UnconstrainedMinimization
• org.ddogleg.fitting.modelset.distance.StatisticalFit<Model,Point>
• org.ddogleg.struct.Stoppable
• org.ddogleg.chainrule.sym.SymExtension
• org.ddogleg.optimization.trustregion.TrustRegionBase_F64.ParameterUpdate<S>
• org.ddogleg.struct.VerbosePrint
  • org.ddogleg.optimization.IterativeOptimization (also extends java.io.Serializable)
    • org.ddogleg.optimization.LineSearch
    • org.ddogleg.optimization.UnconstrainedLeastSquares<S> (also extends org.ddogleg.optimization.UnconstrainedLeastSquaresBase<S, FunctionJacobian>)
    • org.ddogleg.optimization.UnconstrainedLeastSquaresBase<S, FunctionJacobian>
      • org.ddogleg.optimization.UnconstrainedLeastSquares<S> (also extends org.ddogleg.optimization.IterativeOptimization)
      • org.ddogleg.optimization.UnconstrainedLeastSquaresSchur<S> (also extends org.ddogleg.optimization.IterativeOptimization)
    • org.ddogleg.optimization.UnconstrainedLeastSquaresSchur<S> (also extends org.ddogleg.optimization.UnconstrainedLeastSquaresBase<S, FunctionJacobian>)
    • org.ddogleg.optimization.UnconstrainedMinimization

Enum Class Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.lang.constant.Constable, java.io.Serializable)
    • org.ddogleg.struct.BigDogGrowth
    • org.ddogleg.optimization.ConfigLoss.Type
    • org.ddogleg.nn.ConfigNearestNeighborSearch.Type
    • org.ddogleg.optimization.ConfigNonLinearLeastSquares.Type
    • org.ddogleg.optimization.quasinewton.ConfigQuasiNewton.LineSearch
    • org.ddogleg.optimization.GaussNewtonBase_F64.Mode
    • org.ddogleg.clustering.KMeansInitializers
    • org.ddogleg.solver.RootFinderType
    • org.ddogleg.optimization.quasinewton.SearchStatus
    • org.ddogleg.fitting.modelset.distance.StatisticalDistance
    • org.ddogleg.chainrule.sym.Sym.Kind