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.optimization.wrap.CachedGradientLineFunction (implements org.ddogleg.optimization.functions.GradientLineFunction)
- org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction (implements org.ddogleg.optimization.functions.GradientLineFunction)
- org.ddogleg.struct.CircularArray<T>
- org.ddogleg.struct.CircularArray_F32
- org.ddogleg.struct.CircularArray_F64
- org.ddogleg.struct.CircularArray_I32
- org.ddogleg.combinatorics.Combinations<T>
- pabeles.concurrency.ConcurrencyOps
- org.ddogleg.optimization.ConfigGaussNewton
- org.ddogleg.clustering.ConfigKMeans
- org.ddogleg.nn.ConfigNearestNeighborSearch
- org.ddogleg.nn.ConfigNearestNeighborSearch.KDTree
- org.ddogleg.nn.ConfigNearestNeighborSearch.RandomForest
- org.ddogleg.optimization.quasinewton.ConfigQuasiNewton
- org.ddogleg.optimization.ConvergeOptParam (implements java.io.Serializable)
- org.ddogleg.sorting.CountingSort
- 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.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.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>
- org.ddogleg.graph.GraphDataManager<N,E>
- org.ddogleg.optimization.math.HessianMath_DDRM (implements org.ddogleg.optimization.math.HessianMath)
- org.ddogleg.optimization.math.HessianMath_DSCC (implements org.ddogleg.optimization.math.HessianMath)
- org.ddogleg.optimization.math.HessianSchurComplement_Base<S> (implements org.ddogleg.optimization.math.HessianSchurComplement<S>)
- 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.InitializeStandard<P> (implements org.ddogleg.clustering.kmeans.InitializeKMeans<P>)
- 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.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.TrialHelper
- 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.wrap.LsToNonLinear (implements org.ddogleg.optimization.functions.FunctionNtoS)
- org.ddogleg.optimization.wrap.LsToNonLinearDeriv<S> (implements org.ddogleg.optimization.functions.FunctionNtoN)
- 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>)
- 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
- 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.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.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.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
- java.lang.Throwable (implements java.io.Serializable)
- 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.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)