Index (ddogleg 0.23 API)

A B C D E F G H I J K L M N O P Q R S T U V W X Z _
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

a - Variable in class org.ddogleg.combinatorics.Combinations
acceptNewState(boolean, double) - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64
add(boolean) - Method in class org.ddogleg.struct.BigDogArray_B: Appends a single value to the end of the array.
add(boolean) - Method in class org.ddogleg.struct.DogArray_B
add(byte) - Method in class org.ddogleg.struct.BigDogArray_I8: Appends a single value to the end of the array.
add(double) - Method in class org.ddogleg.struct.BigDogArray_F64: Appends a single value to the end of the array.
add(double) - Method in class org.ddogleg.struct.CircularArray_F64: Adds a new element to the queue, but if the queue is full write over the oldest element.
add(double) - Method in class org.ddogleg.struct.DogArray_F64
add(double, double, double) - Method in class org.ddogleg.solver.FitQuadratic2D
add(double, DMatrixRMaj, double, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DDRM
add(double, DMatrixSparseCSC, double, DMatrixSparseCSC, DMatrixSparseCSC) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DSCC
add(double, S, double, S, S) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
add(float) - Method in class org.ddogleg.struct.BigDogArray_F32: Appends a single value to the end of the array.
add(float) - Method in class org.ddogleg.struct.CircularArray_F32: Adds a new element to the queue, but if the queue is full write over the oldest element.
add(float) - Method in class org.ddogleg.struct.DogArray_F32
add(int) - Method in class org.ddogleg.struct.BigDogArray_I32: Appends a single value to the end of the array.
add(int) - Method in class org.ddogleg.struct.CircularArray_I32: Adds a new element to the queue.
add(int) - Method in class org.ddogleg.struct.DogArray_I16
add(int) - Method in class org.ddogleg.struct.DogArray_I32
add(int) - Method in class org.ddogleg.struct.DogArray_I8
add(int, T) - Method in class org.ddogleg.struct.DogArrayList
add(int, T) - Method in class org.ddogleg.struct.FastArrayList
add(long) - Method in class org.ddogleg.struct.BigDogArray_I64: Appends a single value to the end of the array.
add(long) - Method in class org.ddogleg.struct.DogArray_I64
add(Polynomial, Polynomial, Polynomial) - Static method in class org.ddogleg.solver.PolynomialOps: Adds two polynomials together.
add(T) - Method in class org.ddogleg.struct.CircularArray: Adds a new element to the queue.
add(T) - Method in class org.ddogleg.struct.DogArrayList
add(T) - Method in class org.ddogleg.struct.DogArrayList.MyIterator
add(T) - Method in class org.ddogleg.struct.FastArray
add(T) - Method in class org.ddogleg.struct.FastArrayList
add(T) - Method in class org.ddogleg.struct.FastArrayList.MyIterator
add(T[], int, int) - Method in class org.ddogleg.struct.FastArray
addAll(boolean[], int, int) - Method in class org.ddogleg.struct.DogArray_B
addAll(byte[], int, int) - Method in class org.ddogleg.struct.DogArray_I8
addAll(double[], int, int) - Method in class org.ddogleg.struct.DogArray_F64
addAll(float[], int, int) - Method in class org.ddogleg.struct.DogArray_F32
addAll(int[], int, int) - Method in class org.ddogleg.struct.DogArray_I32
addAll(int, Collection<? extends T>) - Method in class org.ddogleg.struct.DogArrayList
addAll(int, Collection<? extends T>) - Method in class org.ddogleg.struct.FastArrayList
addAll(long[], int, int) - Method in class org.ddogleg.struct.DogArray_I64
addAll(short[], int, int) - Method in class org.ddogleg.struct.DogArray_I16
addAll(Collection<? extends T>) - Method in class org.ddogleg.struct.DogArrayList
addAll(Collection<? extends T>) - Method in class org.ddogleg.struct.FastArrayList
addAll(List<T>) - Method in class org.ddogleg.struct.DogLinkedList: Add all elements in list into this linked list
addAll(List<T>) - Method in class org.ddogleg.struct.FastArray
addAll(DogArray_B) - Method in class org.ddogleg.struct.DogArray_B
addAll(DogArray_F32) - Method in class org.ddogleg.struct.DogArray_F32
addAll(DogArray_F64) - Method in class org.ddogleg.struct.DogArray_F64
addAll(DogArray_I16) - Method in class org.ddogleg.struct.DogArray_I16
addAll(DogArray_I32) - Method in class org.ddogleg.struct.DogArray_I32
addAll(DogArray_I64) - Method in class org.ddogleg.struct.DogArray_I64
addAll(DogArray_I8) - Method in class org.ddogleg.struct.DogArray_I8
addAll(FastAccess<T>) - Method in class org.ddogleg.struct.FastArray
addAll(T[], int, int) - Method in class org.ddogleg.struct.DogLinkedList: Adds the specified elements from array into this list
addCovariance(double[], double) - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64: Helper function for computing Gaussian parameters.
addMean(double[], double) - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64: Helper function for computing Gaussian parameters.
addSelect(DogArray_I32, int, List<T>, List<T>) - Static method in class org.ddogleg.fitting.modelset.ransac.Ransac: Adds the selected elements to the initialSample list and undoes the shuffling.
addToQueue(double, KdTree.Node, P) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst: Adds a node to the priority queue.
addW(int) - Method in class org.ddogleg.struct.CircularArray_I32: Adds a new element to the queue, but if the queue is full write over the oldest element.
addW(T) - Method in class org.ddogleg.struct.CircularArray: Adds a new element to the queue, but if the queue is full write over the oldest element.
allocate(int, boolean, boolean) - Method in class org.ddogleg.struct.BigDogArrayBase: Allocate more memory so that an array of the specified desiredSize can be stored.
allPoints - Variable in class org.ddogleg.fitting.modelset.distance.FitByMeanStatistics
append(boolean) - Method in class org.ddogleg.struct.BigDogArray_B: Appends a single value to the end of the array
append(byte) - Method in class org.ddogleg.struct.BigDogArray_I8: Appends a single value to the end of the array
append(double) - Method in class org.ddogleg.struct.BigDogArray_F64: Appends a single value to the end of the array
append(float) - Method in class org.ddogleg.struct.BigDogArray_F32: Appends a single value to the end of the array
append(int) - Method in class org.ddogleg.struct.BigDogArray_I32: Appends a single value to the end of the array
append(long) - Method in class org.ddogleg.struct.BigDogArray_I64: Appends a single value to the end of the array
append(Array, int, int) - Method in class org.ddogleg.struct.BigDogArrayBase: Adds the input array to the end of this array.
applyHessianScaling() - Method in class org.ddogleg.optimization.GaussNewtonBase_F64: Apply scaling to gradient and Hessian
applyIdx(int, int, DogArray_B.FunctionApplyIdx) - Method in class org.ddogleg.struct.BigDogArray_B: Simulates a for-each loop.
applyIdx(int, int, DogArray_F32.FunctionApplyIdx) - Method in class org.ddogleg.struct.BigDogArray_F32: Simulates a for-each loop.
applyIdx(int, int, DogArray_F64.FunctionApplyIdx) - Method in class org.ddogleg.struct.BigDogArray_F64: Simulates a for-each loop.
applyIdx(int, int, DogArray_I32.FunctionApplyIdx) - Method in class org.ddogleg.struct.BigDogArray_I32: Simulates a for-each loop.
applyIdx(int, int, DogArray_I64.FunctionApplyIdx) - Method in class org.ddogleg.struct.BigDogArray_I64: Simulates a for-each loop.
applyIdx(int, int, DogArray_I8.FunctionApplyIdx) - Method in class org.ddogleg.struct.BigDogArray_I8: Simulates a for-each loop.
applyIdx(DogArray_B.FunctionApplyIdx) - Method in class org.ddogleg.struct.DogArray_B
applyIdx(DogArray_F32.FunctionApplyIdx) - Method in class org.ddogleg.struct.DogArray_F32
applyIdx(DogArray_F64.FunctionApplyIdx) - Method in class org.ddogleg.struct.DogArray_F64
applyIdx(DogArray_I16.FunctionApplyIdx) - Method in class org.ddogleg.struct.DogArray_I16
applyIdx(DogArray_I32.FunctionApplyIdx) - Method in class org.ddogleg.struct.DogArray_I32
applyIdx(DogArray_I64.FunctionApplyIdx) - Method in class org.ddogleg.struct.DogArray_I64
applyIdx(DogArray_I8.FunctionApplyIdx) - Method in class org.ddogleg.struct.DogArray_I8
ApproximateSort_F32 - Class in org.ddogleg.sorting: Counting sort for floating point numbers.
ApproximateSort_F32(int) - Constructor for class org.ddogleg.sorting.ApproximateSort_F32
ApproximateSort_F32(int, int, int) - Constructor for class org.ddogleg.sorting.ApproximateSort_F32
ApproximateSort_F64 - Class in org.ddogleg.sorting: Counting sort for floating point numbers.
ApproximateSort_F64(double, double, int) - Constructor for class org.ddogleg.sorting.ApproximateSort_F64
ApproximateSort_F64(int) - Constructor for class org.ddogleg.sorting.ApproximateSort_F64
array(boolean...) - Static method in class org.ddogleg.struct.DogArray_B
array(byte...) - Static method in class org.ddogleg.struct.DogArray_I8
array(double...) - Static method in class org.ddogleg.struct.DogArray_F64
array(float...) - Static method in class org.ddogleg.struct.DogArray_F32
array(int...) - Static method in class org.ddogleg.struct.DogArray_B: Non-zero values are set to true
array(int...) - Static method in class org.ddogleg.struct.DogArray_I16
array(int...) - Static method in class org.ddogleg.struct.DogArray_I32
array(int...) - Static method in class org.ddogleg.struct.DogArray_I8
array(long...) - Static method in class org.ddogleg.struct.DogArray_I64
array(short...) - Static method in class org.ddogleg.struct.DogArray_I16
arrayLength(boolean[]) - Method in class org.ddogleg.struct.BigDogArray_B
arrayLength(byte[]) - Method in class org.ddogleg.struct.BigDogArray_I8
arrayLength(double[]) - Method in class org.ddogleg.struct.BigDogArray_F64
arrayLength(float[]) - Method in class org.ddogleg.struct.BigDogArray_F32
arrayLength(int[]) - Method in class org.ddogleg.struct.BigDogArray_I32
arrayLength(long[]) - Method in class org.ddogleg.struct.BigDogArray_I64
arrayLength(Array) - Method in class org.ddogleg.struct.BigDogArrayBase
arrayLength(T[]) - Method in class org.ddogleg.struct.BigDogArray
assign(double[]) - Method in class org.ddogleg.clustering.gmm.AssignGmm_F64
assign(double[], double[]) - Method in class org.ddogleg.clustering.gmm.AssignGmm_F64
assign(int) - Method in interface org.ddogleg.struct.DogLambdas.AssignIdx_B
assign(int) - Method in interface org.ddogleg.struct.DogLambdas.AssignIdx_F32
assign(int) - Method in interface org.ddogleg.struct.DogLambdas.AssignIdx_F64
assign(int) - Method in interface org.ddogleg.struct.DogLambdas.AssignIdx_I16
assign(int) - Method in interface org.ddogleg.struct.DogLambdas.AssignIdx_I32
assign(int) - Method in interface org.ddogleg.struct.DogLambdas.AssignIdx_I64
assign(int) - Method in interface org.ddogleg.struct.DogLambdas.AssignIdx_I8
assign(D) - Method in interface org.ddogleg.clustering.AssignCluster: Assigns the point to cluster which is the best fit.
assign(D, double[]) - Method in interface org.ddogleg.clustering.AssignCluster: Performs a soft assignment of a point to all the clusters.
assign(P) - Method in class org.ddogleg.clustering.kmeans.AssignKMeans
assign(P, double[]) - Method in class org.ddogleg.clustering.kmeans.AssignKMeans: Soft assignment is done by summing the total distance of the point from each cluster.
AssignCluster<D> - Interface in org.ddogleg.clustering: Used to assign a point to set of clusters.
AssignGmm_F64 - Class in org.ddogleg.clustering.gmm: Given a mixture model it will compute the hard and soft assignment of a point to Gaussians in the cluster.
AssignGmm_F64(List<GaussianGmm_F64>) - Constructor for class org.ddogleg.clustering.gmm.AssignGmm_F64: Use reference to provided mixtures
AssignGmm_F64(AssignGmm_F64) - Constructor for class org.ddogleg.clustering.gmm.AssignGmm_F64: Copy constructor
AssignKMeans - Class in org.ddogleg.clustering.kmeans: Implementation of AssignCluster for K-Means.
AssignKMeans(List, PointDistance) - Constructor for class org.ddogleg.clustering.kmeans.AssignKMeans
assignMean(DMatrixRMaj) - Method in class org.ddogleg.rand.MultivariateGaussianDraw: Uses the referenced variable as the internal mean.
available - Variable in class org.ddogleg.struct.DogLinkedList
AxisSplitRule - Interface in org.ddogleg.nn.alg: Selects which axis the data should be split along when given a list of variances.
AxisSplitRuleMax - Class in org.ddogleg.nn.alg: Selects the axis with the largest variance to split.
AxisSplitRuleMax() - Constructor for class org.ddogleg.nn.alg.AxisSplitRuleMax
AxisSplitRuleRandomK - Class in org.ddogleg.nn.alg: Randomly selects the larger variances.
AxisSplitRuleRandomK(Random, int) - Constructor for class org.ddogleg.nn.alg.AxisSplitRuleRandomK
AxisSplitter - Interface in org.ddogleg.nn.alg: Selects which dimension the set of points should be split by, which point is used to split the lists, and splits the lists into two sets.
AxisSplitterMedian - Class in org.ddogleg.nn.alg: Splits the points in K-D Tree node by selecting the axis with the largest variance.
AxisSplitterMedian(KdTreeDistance) - Constructor for class org.ddogleg.nn.alg.AxisSplitterMedian: Defaults to selecting the split axis with maximum variance
AxisSplitterMedian(KdTreeDistance, AxisSplitRule) - Constructor for class org.ddogleg.nn.alg.AxisSplitterMedian

B

bestDistanceSq - Variable in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst
bestFitModelIndex - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
bestFitParam - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
bestFitPoints - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
bestMatchToInput - Variable in class org.ddogleg.fitting.modelset.ransac.Ransac.TrialHelper
bestMatchToInput - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
bestMedian - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
BigDogArray<T> - Class in org.ddogleg.struct: Implementation of BigDogArrayBase for any Object[].
BigDogArray(int, int, BigDogGrowth, Factory<T>, DProcess<T>) - Constructor for class org.ddogleg.struct.BigDogArray
BigDogArray(Factory<T>) - Constructor for class org.ddogleg.struct.BigDogArray
BigDogArray(Factory<T>, DProcess<T>) - Constructor for class org.ddogleg.struct.BigDogArray
BigDogArray_B - Class in org.ddogleg.struct: Implementation of BigDogArrayBase for boolean[].
BigDogArray_B() - Constructor for class org.ddogleg.struct.BigDogArray_B
BigDogArray_B(int) - Constructor for class org.ddogleg.struct.BigDogArray_B
BigDogArray_B(int, int, BigDogGrowth) - Constructor for class org.ddogleg.struct.BigDogArray_B
BigDogArray_F32 - Class in org.ddogleg.struct: Implementation of BigDogArrayBase for float[].
BigDogArray_F32() - Constructor for class org.ddogleg.struct.BigDogArray_F32
BigDogArray_F32(int) - Constructor for class org.ddogleg.struct.BigDogArray_F32
BigDogArray_F32(int, int, BigDogGrowth) - Constructor for class org.ddogleg.struct.BigDogArray_F32
BigDogArray_F64 - Class in org.ddogleg.struct: Implementation of BigDogArrayBase for double[].
BigDogArray_F64() - Constructor for class org.ddogleg.struct.BigDogArray_F64
BigDogArray_F64(int) - Constructor for class org.ddogleg.struct.BigDogArray_F64
BigDogArray_F64(int, int, BigDogGrowth) - Constructor for class org.ddogleg.struct.BigDogArray_F64
BigDogArray_I32 - Class in org.ddogleg.struct: Implementation of BigDogArrayBase for int[].
BigDogArray_I32() - Constructor for class org.ddogleg.struct.BigDogArray_I32
BigDogArray_I32(int) - Constructor for class org.ddogleg.struct.BigDogArray_I32
BigDogArray_I32(int, int, BigDogGrowth) - Constructor for class org.ddogleg.struct.BigDogArray_I32
BigDogArray_I64 - Class in org.ddogleg.struct: Implementation of BigDogArrayBase for long[].
BigDogArray_I64() - Constructor for class org.ddogleg.struct.BigDogArray_I64
BigDogArray_I64(int) - Constructor for class org.ddogleg.struct.BigDogArray_I64
BigDogArray_I64(int, int, BigDogGrowth) - Constructor for class org.ddogleg.struct.BigDogArray_I64
BigDogArray_I8 - Class in org.ddogleg.struct: Implementation of BigDogArrayBase for byte[].
BigDogArray_I8() - Constructor for class org.ddogleg.struct.BigDogArray_I8
BigDogArray_I8(int) - Constructor for class org.ddogleg.struct.BigDogArray_I8
BigDogArray_I8(int, int, BigDogGrowth) - Constructor for class org.ddogleg.struct.BigDogArray_I8
BigDogArrayBase<Array> - Class in org.ddogleg.struct: A growable array that is composed of internal blocks.
BigDogArrayBase(int, int, BigDogGrowth, BigDogArrayBase.NewArray<Array>, BigDogArrayBase.AssignNewArrayElements<Array>) - Constructor for class org.ddogleg.struct.BigDogArrayBase
BigDogArrayBase.AssignNewArrayElements<Array> - Interface in org.ddogleg.struct: Assigns values to elements in a newly constructed array
BigDogArrayBase.FunctionEachRange<Array> - Interface in org.ddogleg.struct
BigDogArrayBase.NewArray<Array> - Interface in org.ddogleg.struct
BigDogGrowth - Enum Class in org.ddogleg.struct: Specifies which strategy is used to select internal array size when adding new blocks.
bins - Variable in class org.ddogleg.combinatorics.Combinations
blockArrayLength(int) - Method in class org.ddogleg.struct.BigDogArrayBase
blocks - Variable in class org.ddogleg.struct.BigDogArrayBase: Storage for blocks.
blockSize - Variable in class org.ddogleg.struct.BigDogArrayBase: Number of elements in a full block
bracket() - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86: Searches for an upper bound.
BUILD_DATE - Static variable in class org.ddogleg.DDoglegVersion
BUILD_UNIX_TIME - Static variable in class org.ddogleg.DDoglegVersion

C

c - Variable in class org.ddogleg.combinatorics.Combinations
c - Variable in class org.ddogleg.solver.Polynomial
cachedDerivative - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
cachedFunction - Variable in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
cachedFunction - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
cachedGradient - Variable in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
cachedGradient - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
CachedGradientLineFunction - Class in org.ddogleg.optimization.wrap: From separate classes for the function and gradient computations implements GradientLineFunction.
CachedGradientLineFunction(FunctionNtoS, FunctionNtoN) - Constructor for class org.ddogleg.optimization.wrap.CachedGradientLineFunction
CachedNumericalGradientLineFunction - Class in org.ddogleg.optimization.wrap: Numerically computes the gradient and line derivative.
CachedNumericalGradientLineFunction(FunctionNtoS) - Constructor for class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
candidatePoints - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
canImprove(double) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearch1Bbf
canImprove(double) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst: Checks to see if it is possible for this distance to improve upon the current best
canImprove(double) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchNBbf
cauchy(ConfigTrustRegion) - Static method in class org.ddogleg.optimization.FactoryOptimization: Creates a dense trust region least-squares optimization using cauchy steps.
cauchy(ConfigTrustRegion) - Static method in class org.ddogleg.optimization.FactoryOptimizationSparse: Creates a sparse trust region optimization using cauchy steps.
cauchyStep(double, DMatrixRMaj) - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64: Computes the Cauchy step, This is only called if the Cauchy point lies after or on the trust region
centerError - Variable in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
checkBestDistance(KdTree.Node, P) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearch1Bbf: Checks to see if the current node's point is the closet point found so far
checkBestDistance(KdTree.Node, P) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst: Checks to see if the current node's point is the closet point found so far
checkBestDistance(KdTree.Node, P) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchNBbf: Checks to see if the current node's point is the closet point found so far
checkConvergenceFTest(double, double) - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Checks for convergence using f-test.
checkConvergenceFTest(double, double) - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64: Checks for convergence using f-test:
checkConvergenceGTest(DMatrixRMaj) - Method in class org.ddogleg.optimization.GaussNewtonBase_F64: Checks for convergence using f-test:
checkExitIteration() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti: Checks to see if it should stop the RANSAC iterations.
checkSmallStep() - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86: Checks to see if alpha is changing by a significant amount.
checkTrialGenerators() - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: If the maximum number of iterations has changed then re-generate the RNG for each trial
checkTrialGenerators() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac: If the maximum number of iterations has changed then re-generate the RNG for each trial
checkValidity() - Method in class org.ddogleg.clustering.ConfigKMeans
checkValidity() - Method in class org.ddogleg.nn.ConfigNearestNeighborSearch
checkValidity() - Method in class org.ddogleg.nn.ConfigNearestNeighborSearch.KDTree
checkValidity() - Method in class org.ddogleg.nn.ConfigNearestNeighborSearch.RandomForest
chisq - Variable in class org.ddogleg.clustering.gmm.GaussianLikelihoodManager.Likelihood
CircularArray<T> - Class in org.ddogleg.struct: A circular queue which can grow as needed.
CircularArray(Class<T>) - Constructor for class org.ddogleg.struct.CircularArray
CircularArray(Class<T>, int) - Constructor for class org.ddogleg.struct.CircularArray
CircularArray_F32 - Class in org.ddogleg.struct: A circular queue which can grow as needed.
CircularArray_F32() - Constructor for class org.ddogleg.struct.CircularArray_F32
CircularArray_F32(int) - Constructor for class org.ddogleg.struct.CircularArray_F32
CircularArray_F64 - Class in org.ddogleg.struct: A circular queue which can grow as needed.
CircularArray_F64() - Constructor for class org.ddogleg.struct.CircularArray_F64
CircularArray_F64(int) - Constructor for class org.ddogleg.struct.CircularArray_F64
CircularArray_I32 - Class in org.ddogleg.struct: A circular queue which can grow as needed.
CircularArray_I32() - Constructor for class org.ddogleg.struct.CircularArray_I32
CircularArray_I32(int) - Constructor for class org.ddogleg.struct.CircularArray_I32
clear() - Method in class org.ddogleg.struct.DogArrayList
clear() - Method in class org.ddogleg.struct.DogLinkedList.Element
clear() - Method in class org.ddogleg.struct.FastArray: Sets the size of the list to zero and removes all internal references inside the current array.
clear() - Method in class org.ddogleg.struct.FastArrayList
Combinations<T> - Class in org.ddogleg.combinatorics: Computes the combinations of size k given a set S of size N.
Combinations() - Constructor for class org.ddogleg.combinatorics.Combinations
Combinations(List<T>, int) - Constructor for class org.ddogleg.combinatorics.Combinations: Constructor where the list and combinations is specified
combinedStep(double, DMatrixRMaj) - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
compareTo(KdTreeSearchBestBinFirst.Helper) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst.Helper
COMPUTE_DERIVATIVES - Enum constant in enum class org.ddogleg.optimization.GaussNewtonBase_F64.Mode
computeBranch(List, DogArray_I32) - Method in class org.ddogleg.nn.alg.KdTreeConstructor: Given the data inside this particular node, select a point for the node and compute the node's children
computeChild(List, DogArray_I32) - Method in class org.ddogleg.nn.alg.KdTreeConstructor: Creates a child by checking to see if it is a leaf or branch.
ComputeClusters - Interface in org.ddogleg.clustering: Given a set of points in N-dimensional space, compute a set of unique assignment for each point to a cluster.
computeDegree() - Method in class org.ddogleg.solver.Polynomial: Finds the power of the largest non-zero coefficient in the polynomial.
computeDerivative() - Method in interface org.ddogleg.optimization.functions.CoupledDerivative
computeDerivative() - Method in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
computeDerivative() - Method in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
computeDerivative() - Method in class org.ddogleg.optimization.wrap.Individual_to_CoupledDerivative
computeDerivative(State, double[][]) - Method in interface org.ddogleg.optimization.OptimizationDerivative: Computes the gradient for each function with respect to model parameters.
computeDiff(Model, Model) - Method in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher: Computes the difference between the two parameters.
computeFunction() - Method in interface org.ddogleg.optimization.functions.CoupledDerivative
computeFunction() - Method in interface org.ddogleg.optimization.functions.CoupledGradient
computeFunction() - Method in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
computeFunction() - Method in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
computeFunction() - Method in class org.ddogleg.optimization.wrap.Individual_to_CoupledDerivative
computeFunctions(double) - Method in class org.ddogleg.solver.impl.SturmSequence: Computes the values for each function in the sequence iterative starting at the end and working its way towards the beginning..
computeFunctions(double[]) - Method in interface org.ddogleg.optimization.functions.CoupledJacobian
computeFunctions(double[]) - Method in class org.ddogleg.optimization.wrap.Individual_to_CoupledJacobian
computeGradient(double[]) - Method in interface org.ddogleg.optimization.functions.CoupledGradient
computeGradient(double[]) - Method in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
computeGradient(double[]) - Method in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
computeGradient(S, S, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base: Computes the gradient using Schur complement
computeGradient(S, S, DMatrixRMaj, DMatrixRMaj) - Method in interface org.ddogleg.optimization.math.HessianSchurComplement: Computes the gradient given the Jacobian and the residuals.
computeHessian(DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DDRM: Compuets the Hessian in block form
computeHessian(DMatrixSparseCSC, DMatrixSparseCSC) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DSCC: Compuets the Hessian in block form
computeHessian(S, S) - Method in interface org.ddogleg.optimization.math.HessianSchurComplement: Given the left and right hand side of the Jacobian compute the Hessian.
computeHessianScaling() - Method in class org.ddogleg.optimization.GaussNewtonBase_F64: Sets scaling to the sqrt() of the diagonal elements in the Hessian matrix
computeHessianScaling(DMatrixRMaj) - Method in class org.ddogleg.optimization.GaussNewtonBase_F64: Applies the standard formula for computing scaling.
computeInlierSet(List<Point>, int, LeastMedianOfSquares.TrialHelper) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
computeJacobian(S) - Method in interface org.ddogleg.optimization.functions.CoupledJacobian: Processes the input parameters into the 2D Jacobian matrix.
computeJacobian(S) - Method in class org.ddogleg.optimization.wrap.Individual_to_CoupledJacobian
computeLikelihoodP() - Method in class org.ddogleg.rand.MultivariateGaussianDraw
ComputeMeanClusters - Interface in org.ddogleg.clustering: Abstract way to update the cluster mean values from a set of points which have been assigned to a single cluster.
computePDF(double, double, double) - Static method in class org.ddogleg.stats.UtilGaussian
computePredictedReduction(DMatrixRMaj) - Method in class org.ddogleg.optimization.GaussNewtonBase_F64: Computes predicted reduction for step 'p'
computeRange(double[], int, int) - Method in class org.ddogleg.sorting.ApproximateSort_F64: Examines the list and computes the range from it
computeRange(float[], int, int) - Method in class org.ddogleg.sorting.ApproximateSort_F32: Examines the list and computes the range from it
computeRange(SortableParameter_F32[], int, int) - Method in class org.ddogleg.sorting.ApproximateSort_F32: Examines the list and computes the range from it
computeRange(SortableParameter_F64[], int, int) - Method in class org.ddogleg.sorting.ApproximateSort_F64: Examines the list and computes the range from it
computeResiduals(DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Computes the residuals at state 'x'
computeResiduals(DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
computeResiduals(DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
computeStatistics() - Method in class org.ddogleg.fitting.modelset.distance.FitByMeanStatistics
computeStatistics() - Method in class org.ddogleg.fitting.modelset.distance.FitByMedianStatistics
computeStatistics() - Method in interface org.ddogleg.fitting.modelset.distance.StatisticalFit: Computes the statistic error of the model to the data points.
computeStep() - Method in class org.ddogleg.optimization.GaussNewtonBase_F64: Selects the next step
computeStep() - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Compute a new possible state and determine if it should be accepted or not.
computeStep() - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64: Changes the trust region's size and attempts to do a step again
computeStep(double, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Adjusts the Hessian's diagonal elements value and computes the next step
computeTotalCombinations() - Method in class org.ddogleg.combinatorics.Combinations: The number of combinations is, n!/(k!*(n-k)!, where n is number of elements, k is the number of bins, and ! is factorial.
computeTotalCombinations(int, int) - Static method in class org.ddogleg.combinatorics.Combinations
computeUpdate(DMatrixRMaj, double) - Method in interface org.ddogleg.optimization.trustregion.TrustRegionBase_F64.ParameterUpdate: Compute the value of p given a new parameter state x and the region radius.
computeUpdate(DMatrixRMaj, double) - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateCauchy_F64
computeUpdate(DMatrixRMaj, double) - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
config - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
ConfigGaussNewton - Class in org.ddogleg.optimization: Configuration for GaussNewtonBase_F64.
ConfigGaussNewton() - Constructor for class org.ddogleg.optimization.ConfigGaussNewton
ConfigKMeans - Class in org.ddogleg.clustering: Configuration for K-Means clustering
ConfigKMeans() - Constructor for class org.ddogleg.clustering.ConfigKMeans
ConfigLevenbergMarquardt - Class in org.ddogleg.optimization.lm: Configuration for LevenbergMarquardt_F64
ConfigLevenbergMarquardt() - Constructor for class org.ddogleg.optimization.lm.ConfigLevenbergMarquardt
ConfigNearestNeighborSearch - Class in org.ddogleg.nn: Generic configuration for all NearestNeighbor algorithms.
ConfigNearestNeighborSearch() - Constructor for class org.ddogleg.nn.ConfigNearestNeighborSearch
ConfigNearestNeighborSearch.KDTree - Class in org.ddogleg.nn
ConfigNearestNeighborSearch.RandomForest - Class in org.ddogleg.nn
ConfigNearestNeighborSearch.Type - Enum Class in org.ddogleg.nn
ConfigQuasiNewton - Class in org.ddogleg.optimization.quasinewton: Configuration for QuasiNewtonBFGS
ConfigQuasiNewton() - Constructor for class org.ddogleg.optimization.quasinewton.ConfigQuasiNewton
ConfigQuasiNewton.LineSearch - Enum Class in org.ddogleg.optimization.quasinewton
ConfigTrustRegion - Class in org.ddogleg.optimization.trustregion: Configuration parameters for Trust Region
ConfigTrustRegion() - Constructor for class org.ddogleg.optimization.trustregion.ConfigTrustRegion
configure(ConfigLevenbergMarquardt) - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Changes the optimization's configuration
configure(ConfigTrustRegion) - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64
conjugateUpdateC(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj, double, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ddogleg.optimization.quasinewton.EquationsBFGS: [1] D.
conjugateUpdateD(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj, double, DMatrixRMaj) - Static method in class org.ddogleg.optimization.quasinewton.EquationsBFGS: [1] D.
considerCandidate(double, double, double, double) - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64: Consider updating the system with the change in state p.
construct(List, boolean) - Method in class org.ddogleg.nn.alg.KdTreeConstructor: Creates a new KdTree from the provided points.
contains(boolean) - Method in class org.ddogleg.struct.DogArray_B
contains(byte) - Method in class org.ddogleg.struct.DogArray_I8
contains(double) - Method in class org.ddogleg.struct.DogArray_F64
contains(float) - Method in class org.ddogleg.struct.DogArray_F32
contains(int) - Method in class org.ddogleg.struct.DogArray_I32
contains(long) - Method in class org.ddogleg.struct.DogArray_I64
contains(short) - Method in class org.ddogleg.struct.DogArray_I16
contains(Object) - Method in class org.ddogleg.struct.DogArrayList
contains(Object) - Method in class org.ddogleg.struct.FastAccess: Returns true if an object 'a' in the array returns true for 'a.equals(o)'
contains(Object) - Method in class org.ddogleg.struct.FastArrayList
containsAll(Collection<?>) - Method in class org.ddogleg.struct.DogArrayList
containsAll(Collection<?>) - Method in class org.ddogleg.struct.FastArrayList
CONVERGED - Enum constant in enum class org.ddogleg.optimization.GaussNewtonBase_F64.Mode
ConvergeOptParam - Class in org.ddogleg.optimization: Convergence paramters for UnconstrainedMinimization and UnconstrainedLeastSquares.
ConvergeOptParam() - Constructor for class org.ddogleg.optimization.ConvergeOptParam
ConvergeOptParam(int, double, double) - Constructor for class org.ddogleg.optimization.ConvergeOptParam
ConvergeOptParam(ConvergeOptParam) - Constructor for class org.ddogleg.optimization.ConvergeOptParam
convergeTol - Variable in class org.ddogleg.clustering.ConfigKMeans: Change in distance criteria when testing for convergence
convergeTol - Variable in class org.ddogleg.clustering.kmeans.StandardKMeans: It is considered to be converged when the change in sum score is <= than this amount.
copy() - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64
copy() - Method in interface org.ddogleg.nn.alg.KdTreeSearch1: Creates a copy of this search with the same configuration.
copy() - Method in interface org.ddogleg.nn.alg.KdTreeSearchN: Creates a copy of this search with the same configuration.
copy() - Method in class org.ddogleg.nn.alg.searches.KdTreeSearch1Bbf
copy() - Method in class org.ddogleg.nn.alg.searches.KdTreeSearch1Standard
copy() - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchNBbf
copy() - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchNStandard
copy() - Method in class org.ddogleg.optimization.lm.ConfigLevenbergMarquardt
copy() - Method in class org.ddogleg.optimization.trustregion.ConfigTrustRegion
copy() - Method in class org.ddogleg.struct.CircularArray_F32
copy() - Method in class org.ddogleg.struct.CircularArray_F64
copy() - Method in class org.ddogleg.struct.DogArray_B
copy() - Method in class org.ddogleg.struct.DogArray_F32
copy() - Method in class org.ddogleg.struct.DogArray_F64
copy() - Method in class org.ddogleg.struct.DogArray_I16
copy() - Method in class org.ddogleg.struct.DogArray_I32
copy() - Method in class org.ddogleg.struct.DogArray_I64
copy() - Method in class org.ddogleg.struct.DogArray_I8
copy() - Method in interface org.ddogleg.struct.DogArrayPrimitive
copy(P, P) - Method in class org.ddogleg.clustering.misc.ListAccessor
copy(P, P) - Method in interface org.ddogleg.struct.DogLambdas.Copy
copy(P, P) - Method in interface org.ddogleg.struct.LArrayAccessor: Copies src into dst
copyAll(List<S>, DogArray.Set<S, T>) - Method in class org.ddogleg.struct.DogArray: Grows the array and adds all the items in list.
copyIntoList(List<T>) - Method in class org.ddogleg.struct.DogArray
copyModel(Model, Model) - Method in interface org.ddogleg.fitting.modelset.ModelManager: Turns 'dst' into an exact copy of 'src'.
copyModel(T, T) - Method in class org.ddogleg.fitting.modelset.ModelManagerDefault
cost(DMatrixRMaj) - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64: Computes the function's value at x
cost(DMatrixRMaj) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
cost(DMatrixRMaj) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
cost(DMatrixRMaj) - Method in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64
costFromResiduals(DMatrixRMaj) - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Given the residuals compute the cost
count(boolean) - Method in class org.ddogleg.struct.DogArray_B: Counts the number of times the specified value occurs in the list
count(double) - Method in class org.ddogleg.struct.DogArray_F64: Counts the number of times the specified value occurs in the list
count(float) - Method in class org.ddogleg.struct.DogArray_F32: Counts the number of times the specified value occurs in the list
count(int) - Method in class org.ddogleg.struct.DogArray_I16: Counts the number of times the specified value occurs in the list
count(int) - Method in class org.ddogleg.struct.DogArray_I32: Counts the number of times the specified value occurs in the list
count(int) - Method in class org.ddogleg.struct.DogArray_I8: Counts the number of times the specified value occurs in the list
count(long) - Method in class org.ddogleg.struct.DogArray_I64: Counts the number of times the specified value occurs in the list
count(DogArray_F32.Filter) - Method in class org.ddogleg.struct.DogArray_F32
count(DogArray_F64.Filter) - Method in class org.ddogleg.struct.DogArray_F64
count(DogArray_I16.Filter) - Method in class org.ddogleg.struct.DogArray_I16
count(DogArray_I32.Filter) - Method in class org.ddogleg.struct.DogArray_I32
count(DogArray_I64.Filter) - Method in class org.ddogleg.struct.DogArray_I64
count(DogArray_I8.Filter) - Method in class org.ddogleg.struct.DogArray_I8
count(FastAccess.FunctionMatches<T>) - Method in class org.ddogleg.struct.FastAccess: Counts the number of times an element returns true when passed into 'test'
CountingSort - Class in org.ddogleg.sorting: A O(N) sorting routine for integer valued elements with a known upper and lower bound.
CountingSort() - Constructor for class org.ddogleg.sorting.CountingSort
CountingSort(int, int) - Constructor for class org.ddogleg.sorting.CountingSort
countRealRoots(double, double) - Method in class org.ddogleg.solver.impl.SturmSequence: Determines the number of real roots there are in the polynomial within the specified bounds.
countRealRoots(Polynomial) - Static method in class org.ddogleg.solver.PolynomialOps
countSignChanges() - Method in class org.ddogleg.solver.impl.SturmSequence: Looks at the value of each function in the sequence and counts the number of sign changes.
CoupledDerivative - Interface in org.ddogleg.optimization.functions
CoupledGradient - Interface in org.ddogleg.optimization.functions
CoupledJacobian<S extends DMatrix> - Interface in org.ddogleg.optimization.functions
covariance - Variable in class org.ddogleg.clustering.gmm.GaussianGmm_F64
create(int) - Method in interface org.ddogleg.struct.BigDogArrayBase.NewArray
createEdge() - Method in class org.ddogleg.graph.GraphDataManager
createInstance() - Method in class org.ddogleg.struct.CircularArray
createInstance() - Method in class org.ddogleg.struct.DogArray: Creates a new instance of elements stored in this array
createInstance() - Method in class org.ddogleg.struct.RecycleManager: Creates a new instance using the class.
createMatrix() - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DDRM
createMatrix() - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DSCC
createMatrix() - Method in interface org.ddogleg.optimization.math.HessianSchurComplement: Creates a matrix of the same type that this interface can process
createMatrix() - Method in class org.ddogleg.optimization.math.MatrixMath_DDRM
createMatrix() - Method in class org.ddogleg.optimization.math.MatrixMath_DSCC
createMatrix() - Method in interface org.ddogleg.optimization.math.MatrixMath
createModelInstance() - Method in interface org.ddogleg.fitting.modelset.ModelManager: Creates a new instance of the model
createModelInstance() - Method in class org.ddogleg.fitting.modelset.ModelManagerDefault
createNode() - Method in class org.ddogleg.graph.GraphDataManager
createRootFinder(int, RootFinderType) - Static method in class org.ddogleg.solver.PolynomialOps: Creates different polynomial root finders.
createRootFinder(RootFinderType, int) - Static method in class org.ddogleg.solver.PolynomialSolver: Creates a generic polynomial root finding class which will return all real or all real and complex roots depending on the algorithm selected.
createSearch() - Method in class org.ddogleg.nn.alg.VpTree
createSearch() - Method in interface org.ddogleg.nn.NearestNeighbor: Creates a new search for this data structure.
createSearch() - Method in class org.ddogleg.nn.wrap.KdForestBbfNearestNeighbor
createSearch() - Method in class org.ddogleg.nn.wrap.KdTreeNearestNeighbor
createSearch() - Method in class org.ddogleg.nn.wrap.WrapExhaustiveNeighbor
cubic(double, double, double, double, double, double) - Static method in class org.ddogleg.optimization.quasinewton.SearchInterpolate: Interpolates the next step using a cubic model.
cubic2(double, double, double, double, double, double) - Static method in class org.ddogleg.optimization.quasinewton.SearchInterpolate: Cubic interpolation using the function and derivative computed at two different points.
cubicDiscriminant(double, double, double, double) - Static method in class org.ddogleg.solver.PolynomialSolver: The cubic discriminant is used to determine the type of roots.
cubicRealRoot(double, double, double, double) - Static method in class org.ddogleg.solver.PolynomialOps: Returns a real root to the cubic polynomial: 0 = c0 + c1*x + c2*x^2 + c3*c^3.
cubicRootReal(double, double, double, double) - Static method in class org.ddogleg.solver.PolynomialSolver: A cubic polynomial of the form "f(x) = a + b*x + c*x² + d*x³" has three roots.
cubicSafe(double, double, double, double, double, double, double, double) - Static method in class org.ddogleg.optimization.quasinewton.SearchInterpolate: Use cubic interpolation only if the cubic tends to infinity in the direction of the step or if the minim of the cubic is beyond x1.
currentDerivative - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
currentGradient - Variable in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
currentGradient - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
currentInput - Variable in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
currentInput - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
currentOutput - Variable in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
currentOutput - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
currentStep - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
currParam - Variable in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher

D

d0 - Variable in class org.ddogleg.struct.Tuple2
d0 - Variable in class org.ddogleg.struct.Tuple3
d0 - Variable in class org.ddogleg.struct.Tuple4
d1 - Variable in class org.ddogleg.struct.Tuple2
d1 - Variable in class org.ddogleg.struct.Tuple3
d1 - Variable in class org.ddogleg.struct.Tuple4
d2 - Variable in class org.ddogleg.struct.Tuple3
d2 - Variable in class org.ddogleg.struct.Tuple4
d3 - Variable in class org.ddogleg.struct.Tuple4
dampeningInitial - Variable in class org.ddogleg.optimization.lm.ConfigLevenbergMarquardt: Initial value for the dampening parameter.
data - Variable in class org.ddogleg.fitting.modelset.distance.PointIndex
data - Variable in class org.ddogleg.struct.CircularArray_F32
data - Variable in class org.ddogleg.struct.CircularArray_F64
data - Variable in class org.ddogleg.struct.CircularArray_I32
data - Variable in class org.ddogleg.struct.CircularArray
data - Variable in class org.ddogleg.struct.DogArray_B
data - Variable in class org.ddogleg.struct.DogArray_F32
data - Variable in class org.ddogleg.struct.DogArray_F64
data - Variable in class org.ddogleg.struct.DogArray_I16
data - Variable in class org.ddogleg.struct.DogArray_I32
data - Variable in class org.ddogleg.struct.DogArray_I64
data - Variable in class org.ddogleg.struct.DogArray_I8
data - Variable in class org.ddogleg.struct.FastAccess
dataSet - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
DDoglegConcurrency - Class in org.ddogleg: Used to turn on and off functions/classes which can automatically switch between concurrent operations
DDoglegConcurrency() - Constructor for class org.ddogleg.DDoglegConcurrency
DDoglegVersion - Class in org.ddogleg: Automatically generated file containing build version information.
DDRM(SchurJacobian<DMatrixRMaj>) - Constructor for class org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN.DDRM
declareMatrixMxN() - Method in class org.ddogleg.optimization.derivative.NumericalJacobianFB
declareMatrixMxN() - Method in class org.ddogleg.optimization.derivative.NumericalJacobianForward_DDRM
declareMatrixMxN() - Method in class org.ddogleg.optimization.derivative.NumericalJacobianForward_DSCC
declareMatrixMxN() - Method in interface org.ddogleg.optimization.functions.FunctionNtoMxN: Creates a matrix which can store the jacobian.
declareMatrixMxN() - Method in class org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN.DDRM
declareMatrixMxN() - Method in class org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN.DSCC
decode(double[], T) - Method in interface org.ddogleg.fitting.modelset.ModelCodec: Converts the parameter array into a model.
DEFAULT_BLOCK_SIZE - Static variable in class org.ddogleg.struct.BigDogArrayBase: Default block size.
derivative(Polynomial, Polynomial) - Static method in class org.ddogleg.solver.PolynomialOps
derivative1(double, double, double) - Static method in class org.ddogleg.stats.UtilGaussian
derivative2(double, double, double) - Static method in class org.ddogleg.stats.UtilGaussian
derivative3(double, double, double) - Static method in class org.ddogleg.stats.UtilGaussian
derivative4(double, double, double) - Static method in class org.ddogleg.stats.UtilGaussian
DerivativeChecker - Class in org.ddogleg.optimization: Used to validate an algebraic Jacobian numerically.
DerivativeChecker() - Constructor for class org.ddogleg.optimization.DerivativeChecker
derivZero - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
DETERMINE_STEP - Enum constant in enum class org.ddogleg.optimization.GaussNewtonBase_F64.Mode
diagonal_max - Variable in class org.ddogleg.optimization.lm.ConfigLevenbergMarquardt: Clamps the diagonal values of J'*J when constructing the LM formula.
diagonal_min - Variable in class org.ddogleg.optimization.lm.ConfigLevenbergMarquardt: Clamps the diagonal values of J'*J when constructing the LM formula.
diagOrig - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
diagStep - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
direction - Variable in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
direction - Variable in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
direction - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
DIRTY - Static variable in class org.ddogleg.DDoglegVersion
distance - Variable in class org.ddogleg.nn.alg.KdTreeResult
distance - Variable in class org.ddogleg.nn.NnData
distance(byte[], byte[]) - Method in class org.ddogleg.nn.alg.distance.KdTreeEuclideanSq_U8
distance(double[], double[]) - Method in class org.ddogleg.clustering.misc.EuclideanSqArrayF64
distance(double[], double[]) - Method in class org.ddogleg.nn.alg.distance.KdTreeEuclideanSq_F64
distance(Point) - Method in interface org.ddogleg.fitting.modelset.DistanceFromModel: Computes the distance the point is from the model.
distance(P, P) - Method in interface org.ddogleg.clustering.PointDistance: Computes the distance between the two input points
distance(P, P) - Method in interface org.ddogleg.nn.alg.KdTreeDistance: Computes the distance between the two input points
DistanceFromModel<Model,Point> - Interface in org.ddogleg.fitting.modelset: Computes the distance a sample point is from the provided model.
distanceGN - Variable in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
distances(List<Point>, double[]) - Method in interface org.ddogleg.fitting.modelset.DistanceFromModel: Computes the distance a set of points is from the model and saves the results in the provided array.
divide(Polynomial, Polynomial, Polynomial, Polynomial) - Static method in class org.ddogleg.solver.PolynomialOps: Polynomial division.
divideColumns(DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.MatrixMath_DDRM
divideColumns(DMatrixRMaj, DMatrixSparseCSC) - Method in class org.ddogleg.optimization.math.MatrixMath_DSCC
divideColumns(DMatrixRMaj, S) - Method in interface org.ddogleg.optimization.math.MatrixMath
divideRowsCols(double[], int, DMatrixRMaj, double[], int) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DDRM
divideRowsCols(double[], int, DMatrixSparseCSC, double[], int) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DSCC
divideRowsCols(double[], int, S, double[], int) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
divideRowsCols(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianBFGS_DDRM
divideRowsCols(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianMath_DDRM
divideRowsCols(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianMath_DSCC
divideRowsCols(DMatrixRMaj) - Method in interface org.ddogleg.optimization.math.HessianMath: Applies row and column division using the scaling vector.
divideRowsCols(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
DogArray<T> - Class in org.ddogleg.struct: Growable array which automatically creates, recycles, and resets its elements.
DogArray(int, Factory<T>) - Constructor for class org.ddogleg.struct.DogArray: Constructor which allows new instances to be created using a lambda
DogArray(Class<T>, Factory<T>) - Constructor for class org.ddogleg.struct.DogArray: Constructor which allows new instances to be created using a lambda
DogArray(Factory<T>) - Constructor for class org.ddogleg.struct.DogArray: Constructor which allows new instances to be created using a lambda and determines the class by creating a new instance.
DogArray(Factory<T>, DProcess<T>) - Constructor for class org.ddogleg.struct.DogArray: User provided factory function and reset function.
DogArray(Factory<T>, DProcess<T>, DProcess<T>) - Constructor for class org.ddogleg.struct.DogArray: User provided factory function and reset function.
DogArray_B - Class in org.ddogleg.struct: Growable array composed of booleans.
DogArray_B() - Constructor for class org.ddogleg.struct.DogArray_B
DogArray_B(int) - Constructor for class org.ddogleg.struct.DogArray_B
DogArray_B.FunctionApplyIdx - Interface in org.ddogleg.struct
DogArray_B.FunctionEach - Interface in org.ddogleg.struct
DogArray_B.FunctionEachIdx - Interface in org.ddogleg.struct
DogArray_F32 - Class in org.ddogleg.struct: Growable array composed of floats.
DogArray_F32() - Constructor for class org.ddogleg.struct.DogArray_F32
DogArray_F32(int) - Constructor for class org.ddogleg.struct.DogArray_F32
DogArray_F32.Filter - Interface in org.ddogleg.struct
DogArray_F32.FunctionApplyIdx - Interface in org.ddogleg.struct
DogArray_F32.FunctionEach - Interface in org.ddogleg.struct
DogArray_F32.FunctionEachIdx - Interface in org.ddogleg.struct
DogArray_F64 - Class in org.ddogleg.struct: Growable array composed of doubles.
DogArray_F64() - Constructor for class org.ddogleg.struct.DogArray_F64
DogArray_F64(int) - Constructor for class org.ddogleg.struct.DogArray_F64
DogArray_F64.Filter - Interface in org.ddogleg.struct
DogArray_F64.FunctionApplyIdx - Interface in org.ddogleg.struct
DogArray_F64.FunctionEach - Interface in org.ddogleg.struct
DogArray_F64.FunctionEachIdx - Interface in org.ddogleg.struct
DogArray_I16 - Class in org.ddogleg.struct: Growable array composed of short.
DogArray_I16() - Constructor for class org.ddogleg.struct.DogArray_I16
DogArray_I16(int) - Constructor for class org.ddogleg.struct.DogArray_I16
DogArray_I16.Filter - Interface in org.ddogleg.struct
DogArray_I16.FunctionApplyIdx - Interface in org.ddogleg.struct
DogArray_I16.FunctionEach - Interface in org.ddogleg.struct
DogArray_I16.FunctionEachIdx - Interface in org.ddogleg.struct
DogArray_I32 - Class in org.ddogleg.struct: Growable array composed of ints.
DogArray_I32() - Constructor for class org.ddogleg.struct.DogArray_I32
DogArray_I32(int) - Constructor for class org.ddogleg.struct.DogArray_I32
DogArray_I32.Filter - Interface in org.ddogleg.struct
DogArray_I32.FunctionApplyIdx - Interface in org.ddogleg.struct
DogArray_I32.FunctionEach - Interface in org.ddogleg.struct
DogArray_I32.FunctionEachIdx - Interface in org.ddogleg.struct
DogArray_I64 - Class in org.ddogleg.struct: Growable array composed of longs.
DogArray_I64() - Constructor for class org.ddogleg.struct.DogArray_I64
DogArray_I64(int) - Constructor for class org.ddogleg.struct.DogArray_I64
DogArray_I64.Filter - Interface in org.ddogleg.struct
DogArray_I64.FunctionApplyIdx - Interface in org.ddogleg.struct
DogArray_I64.FunctionEach - Interface in org.ddogleg.struct
DogArray_I64.FunctionEachIdx - Interface in org.ddogleg.struct
DogArray_I8 - Class in org.ddogleg.struct: Growable array composed of bytes.
DogArray_I8() - Constructor for class org.ddogleg.struct.DogArray_I8
DogArray_I8(int) - Constructor for class org.ddogleg.struct.DogArray_I8
DogArray_I8.Filter - Interface in org.ddogleg.struct
DogArray_I8.FunctionApplyIdx - Interface in org.ddogleg.struct
DogArray_I8.FunctionEach - Interface in org.ddogleg.struct
DogArray_I8.FunctionEachIdx - Interface in org.ddogleg.struct
DogArray.Set<S,D> - Interface in org.ddogleg.struct
DogArrayList<T> - Class in org.ddogleg.struct: Wrapper around queue which allows it to act as a List.
DogArrayList(DogArray<T>) - Constructor for class org.ddogleg.struct.DogArrayList
DogArrayList.MyIterator - Class in org.ddogleg.struct
DogArrayPrimitive<T extends DogArrayPrimitive<T>> - Interface in org.ddogleg.struct: Interface for growable queues of primitive types
DogLambdas - Interface in org.ddogleg.struct: Common lambdas used in DDogleg
DogLambdas.AssignIdx_B - Interface in org.ddogleg.struct
DogLambdas.AssignIdx_F32 - Interface in org.ddogleg.struct
DogLambdas.AssignIdx_F64 - Interface in org.ddogleg.struct
DogLambdas.AssignIdx_I16 - Interface in org.ddogleg.struct
DogLambdas.AssignIdx_I32 - Interface in org.ddogleg.struct
DogLambdas.AssignIdx_I64 - Interface in org.ddogleg.struct
DogLambdas.AssignIdx_I8 - Interface in org.ddogleg.struct
DogLambdas.Copy - Interface in org.ddogleg.struct
DogLambdas.NewInstance - Interface in org.ddogleg.struct
dogleg(ConfigTrustRegion) - Static method in class org.ddogleg.optimization.FactoryOptimizationSparse: Creates a sparse trust region optimization using dogleg steps.
dogleg(ConfigTrustRegion, boolean) - Static method in class org.ddogleg.optimization.FactoryOptimization: Creates a dense trust region least-squares optimization using dogleg steps.
doglegBFGS(ConfigTrustRegion) - Static method in class org.ddogleg.optimization.FactoryOptimization: Dense trust-region unconstrained minimization using Dogleg steps and BFGS to estimate the Hessian.
doglegSchur(boolean, ConfigTrustRegion) - Static method in class org.ddogleg.optimization.FactoryOptimization: Creates a sparse Schur Complement trust region optimization using dogleg steps.
doglegSchur(ConfigTrustRegion) - Static method in class org.ddogleg.optimization.FactoryOptimizationSparse: Creates a sparse Schur Complement trust region optimization using dogleg steps.
DogLinkedList<T> - Class in org.ddogleg.struct: A double linked list.
DogLinkedList() - Constructor for class org.ddogleg.struct.DogLinkedList
DogLinkedList.Element<T> - Class in org.ddogleg.struct
DoNothing() - Constructor for class org.ddogleg.struct.DProcess.DoNothing
DoNothing() - Constructor for class org.ddogleg.struct.DProcessIdx.DoNothing
DProcess<T> - Interface in org.ddogleg.struct: Function which processes an object
DProcess.DoNothing<T> - Class in org.ddogleg.struct: Default implementation which does nothing
DProcessIdx<T> - Interface in org.ddogleg.struct: Function which processes an object and passes in an integer that represents the index
DProcessIdx.DoNothing<T> - Class in org.ddogleg.struct: Default implementation which does nothing
DSCC(SchurJacobian<DMatrixSparseCSC>) - Constructor for class org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN.DSCC

E

Edge<N,E> - Class in org.ddogleg.graph
Edge() - Constructor for class org.ddogleg.graph.Edge
Element() - Constructor for class org.ddogleg.struct.DogLinkedList.Element
encode(T, double[]) - Method in interface org.ddogleg.fitting.modelset.ModelCodec: Converts the provided model into the array format.
EquationsBFGS - Class in org.ddogleg.optimization.quasinewton: Equations for updating the approximate Hessian matrix using BFGS equations.
EquationsBFGS() - Constructor for class org.ddogleg.optimization.quasinewton.EquationsBFGS
errorFraction - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
errors - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares.TrialHelper
EuclideanSqArrayF64 - Class in org.ddogleg.clustering.misc: Returns Euclidean distance squared for double[] points.
EuclideanSqArrayF64(int) - Constructor for class org.ddogleg.clustering.misc.EuclideanSqArrayF64
evaluate(double) - Method in class org.ddogleg.solver.Polynomial: Computes the polynomials output given the variable value Can handle infinite numbers
EVD - Enum constant in enum class org.ddogleg.solver.RootFinderType: Eigenvalue decomposition based.
exhaustive(KdTreeDistance) - Static method in class org.ddogleg.nn.FactoryNearestNeighbor: Performs an optimal NearestNeighbor by exhaustively consider all possible solutions.
EXHAUSTIVE - Enum constant in enum class org.ddogleg.nn.ConfigNearestNeighborSearch.Type
ExhaustiveNeighbor - Class in org.ddogleg.nn.alg: Exhaustively finds the nearest-neighbor to a n-dimensional point by considering every possibility.
ExhaustiveNeighbor(KdTreeDistance) - Constructor for class org.ddogleg.nn.alg.ExhaustiveNeighbor
expectation() - Method in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64: For each point compute the "responsibility" for each Gaussian
ExpectationMaximizationGmm_F64 - Class in org.ddogleg.clustering.gmm: Standard expectation maximization based approach to fitting mixture-of-Gaussian models to a set of data.
ExpectationMaximizationGmm_F64(int, double, int, InitializeGmm_F64) - Constructor for class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64: Configures EM parameters
ExpectationMaximizationGmm_F64.PointInfo - Class in org.ddogleg.clustering.gmm
extend(int) - Method in class org.ddogleg.struct.DogArray_B
extend(int) - Method in class org.ddogleg.struct.DogArray_F32
extend(int) - Method in class org.ddogleg.struct.DogArray_F64
extend(int) - Method in class org.ddogleg.struct.DogArray_I16
extend(int) - Method in class org.ddogleg.struct.DogArray_I32
extend(int) - Method in class org.ddogleg.struct.DogArray_I64
extend(int) - Method in class org.ddogleg.struct.DogArray_I8
extend(int) - Method in interface org.ddogleg.struct.DogArrayPrimitive: Changes the array to the specified size.
extractDiag(DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DDRM
extractDiag(DMatrixSparseCSC, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DSCC
extractDiag(S, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
extractDiagonals(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianMath_DDRM
extractDiagonals(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianMath_DSCC
extractDiagonals(DMatrixRMaj) - Method in interface org.ddogleg.optimization.math.HessianMath: Extracts diagonal elements from the hessian and stores them in the vector diag
extractDiagonals(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base

F

f - Variable in class org.ddogleg.solver.impl.SturmSequence
f_prev - Variable in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64
Factory<T> - Interface in org.ddogleg.struct: Factory for creating an object with no arguments
FactoryClustering - Class in org.ddogleg.clustering: Factory for creating clustering algorithms.
FactoryClustering() - Constructor for class org.ddogleg.clustering.FactoryClustering
FactoryNearestNeighbor - Class in org.ddogleg.nn: Factory for creating implementations of NearestNeighbor.
FactoryNearestNeighbor() - Constructor for class org.ddogleg.nn.FactoryNearestNeighbor
FactoryNumericalDerivative - Class in org.ddogleg.optimization: Functions for creating numerical derivatives
FactoryNumericalDerivative() - Constructor for class org.ddogleg.optimization.FactoryNumericalDerivative
FactoryOptimization - Class in org.ddogleg.optimization: Creates optimization algorithms using easy to use interfaces.
FactoryOptimization() - Constructor for class org.ddogleg.optimization.FactoryOptimization
FactoryOptimizationSparse - Class in org.ddogleg.optimization: Factory for sparse optimization algorithms.
FactoryOptimizationSparse() - Constructor for class org.ddogleg.optimization.FactoryOptimizationSparse
FastAccess<T> - Class in org.ddogleg.struct: Base class for FastArray and DogArray.
FastAccess(Class<T>) - Constructor for class org.ddogleg.struct.FastAccess
FastAccess.FunctionEach<T> - Interface in org.ddogleg.struct
FastAccess.FunctionEachIdx<T> - Interface in org.ddogleg.struct
FastAccess.FunctionMatches<T> - Interface in org.ddogleg.struct
FastArray<T> - Class in org.ddogleg.struct: A growable array which provides access to the raw array but does not own the elements inside of the array.
FastArray(Class<T>) - Constructor for class org.ddogleg.struct.FastArray
FastArray(Class<T>, int) - Constructor for class org.ddogleg.struct.FastArray
FastArrayList<T> - Class in org.ddogleg.struct: Wrapper around FastArray which allows it to act as a List.
FastArrayList(FastArray<T>) - Constructor for class org.ddogleg.struct.FastArrayList
FastArrayList.MyIterator - Class in org.ddogleg.struct
feedbackIdxDOp(byte[], int, int, PrimitiveArrays.FeedbackIdxD) - Static method in class org.ddogleg.util.PrimitiveArrays: Recursively computes a result from an array.
feedbackIdxDOp(double[], int, int, PrimitiveArrays.FeedbackIdxD) - Static method in class org.ddogleg.util.PrimitiveArrays: Recursively computes a result from an array.
feedbackIdxDOp(float[], int, int, PrimitiveArrays.FeedbackIdxD) - Static method in class org.ddogleg.util.PrimitiveArrays: Recursively computes a result from an array.
feedbackIdxDOp(int[], int, int, PrimitiveArrays.FeedbackIdxD) - Static method in class org.ddogleg.util.PrimitiveArrays: Recursively computes a result from an array.
feedbackIdxDOp(long[], int, int, PrimitiveArrays.FeedbackIdxD) - Static method in class org.ddogleg.util.PrimitiveArrays: Recursively computes a result from an array.
feedbackIdxDOp(short[], int, int, PrimitiveArrays.FeedbackIdxD) - Static method in class org.ddogleg.util.PrimitiveArrays: Recursively computes a result from an array.
fill(boolean) - Method in class org.ddogleg.struct.DogArray_B
fill(byte) - Method in class org.ddogleg.struct.DogArray_I8
fill(double) - Method in class org.ddogleg.struct.DogArray_F64
fill(float) - Method in class org.ddogleg.struct.DogArray_F32
fill(int) - Method in class org.ddogleg.struct.DogArray_I32
fill(int, int, boolean) - Method in class org.ddogleg.struct.BigDogArray_B: Fills the elements in the specified range with the specified value.
fill(int, int, boolean) - Method in class org.ddogleg.struct.DogArray_B
fill(int, int, byte) - Method in class org.ddogleg.struct.BigDogArray_I8: Fills the elements in the specified range with the specified value.
fill(int, int, byte) - Method in class org.ddogleg.struct.DogArray_I8
fill(int, int, double) - Method in class org.ddogleg.struct.BigDogArray_F64: Fills the elements in the specified range with the specified value.
fill(int, int, double) - Method in class org.ddogleg.struct.DogArray_F64
fill(int, int, float) - Method in class org.ddogleg.struct.BigDogArray_F32: Fills the elements in the specified range with the specified value.
fill(int, int, float) - Method in class org.ddogleg.struct.DogArray_F32
fill(int, int, int) - Method in class org.ddogleg.struct.BigDogArray_I32: Fills the elements in the specified range with the specified value.
fill(int, int, int) - Method in class org.ddogleg.struct.DogArray_I32
fill(int, int, long) - Method in class org.ddogleg.struct.BigDogArray_I64: Fills the elements in the specified range with the specified value.
fill(int, int, long) - Method in class org.ddogleg.struct.DogArray_I64
fill(int, int, short) - Method in class org.ddogleg.struct.DogArray_I16
fill(int, int, DProcess<T>) - Method in class org.ddogleg.struct.BigDogArray: Fills the elements in the specified range with the specified value.
fill(long) - Method in class org.ddogleg.struct.DogArray_I64
fill(short) - Method in class org.ddogleg.struct.DogArray_I16
fillCounting(int) - Static method in class org.ddogleg.util.PrimitiveArrays
fillCounting(int[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Sets each element within range to a number counting up
filter(FastAccess.FunctionMatches<T>) - Method in class org.ddogleg.struct.FastAccess: Same as FastAccess.findAll(java.util.List<T>, org.ddogleg.struct.FastAccess.FunctionMatches<T>) but returns a new list.
find(FastAccess.FunctionMatches<T>) - Method in class org.ddogleg.struct.FastAccess: Returns the first instance which matches the function.
find(T) - Method in class org.ddogleg.struct.DogLinkedList: Returns the first element which contains 'object' starting from the head.
findAll(List<T>, FastAccess.FunctionMatches<T>) - Method in class org.ddogleg.struct.FastAccess: Finds the indexes of all elements which match.
findAllIdx(DogArray_I32, FastAccess.FunctionMatches<T>) - Method in class org.ddogleg.struct.FastAccess: Finds the indexes of all elements which match.
findBestMatch(P, DogArray) - Method in class org.ddogleg.clustering.kmeans.StandardKMeans: Searches for this cluster which is the closest to p
findBestMatch(P, DogArray, StandardKMeans_MT.MatchData) - Method in class org.ddogleg.clustering.kmeans.StandardKMeans_MT: Searches for this cluster which is the closest to p
findClosest(P, double) - Method in class org.ddogleg.nn.alg.ExhaustiveNeighbor: Finds the index of the point which has the smallest Euclidean distance to 'p' and is < maxDistance away.
findClosestN(P, double, int, DogArray_I32, DogArray_F64) - Method in class org.ddogleg.nn.alg.ExhaustiveNeighbor: Finds the index of the point which has the smallest Euclidean distance to 'p' and is < maxDistance away.
findIdx(FastAccess.FunctionMatches<T>) - Method in class org.ddogleg.struct.FastAccess: Returns the first instance's index which matches the function.
findMaxIndex(int[]) - Static method in class org.ddogleg.stats.UtilStatisticsInt: Finds the index in 'a' with the largest value.
findNearest(P, double, int, DogArray<NnData>) - Method in interface org.ddogleg.nn.NearestNeighbor.Search: Searches for the N nearest neighbor to the specified point.
findNearest(P, double, int, DogArray<NnData>) - Method in class org.ddogleg.nn.wrap.KdTreeInternalSearch
findNearest(P, double, NnData) - Method in interface org.ddogleg.nn.NearestNeighbor.Search: Searches for the nearest neighbor to the specified point.
findNearest(P, double, NnData) - Method in class org.ddogleg.nn.wrap.KdTreeInternalSearch
findNeighbor(P) - Method in interface org.ddogleg.nn.alg.KdTreeSearch1: Searches for the nearest neighbor to the target.
findNeighbor(P) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearch1Bbf
findNeighbor(P) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearch1Standard: Finds the node which is closest to 'target'
findNeighbor(P, int, DogArray<KdTreeResult>) - Method in interface org.ddogleg.nn.alg.KdTreeSearchN: Searches for the N nearest-neighbors to the target.
findNeighbor(P, int, DogArray<KdTreeResult>) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchNBbf
findNeighbor(P, int, DogArray<KdTreeResult>) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchNStandard: Finds the nodes which are closest to 'target' and within range of the maximum distance.
FindRealRootsSturm - Class in org.ddogleg.solver.impl: Uses a Sturm sequence to bound the location of real roots in the polynomial.
FindRealRootsSturm(int, double, double, int, int) - Constructor for class org.ddogleg.solver.impl.FindRealRootsSturm: Configures search parameters.
first - Variable in class org.ddogleg.struct.DogLinkedList
FitByMeanStatistics<Model,Point> - Class in org.ddogleg.fitting.modelset.distance: Computes the mean error and prunes points based on the number of standard deviations they are away.
FitByMeanStatistics(double) - Constructor for class org.ddogleg.fitting.modelset.distance.FitByMeanStatistics
FitByMedianStatistics<Model,Point> - Class in org.ddogleg.fitting.modelset.distance: Computes the median error and prunes points if they have more than the specified percentile error.
FitByMedianStatistics(double) - Constructor for class org.ddogleg.fitting.modelset.distance.FitByMedianStatistics: Creates a new FitByMedianStatistics.
fitModel(List<Point>, Model, Model) - Method in interface org.ddogleg.fitting.modelset.ModelFitter: Fits a model to a set of points.
FitQuadratic1D - Class in org.ddogleg.solver: Fits the coefficients for a quadratic polynomial to a set of even spaced data in an array.
FitQuadratic1D() - Constructor for class org.ddogleg.solver.FitQuadratic1D
FitQuadratic2D - Class in org.ddogleg.solver: Quadratic solver for an arbitrary 2D region
FitQuadratic2D() - Constructor for class org.ddogleg.solver.FitQuadratic2D
FitQuadratic3by3 - Class in org.ddogleg.solver: Fit observations to a 2D quadratic around a 3x3 region.
FitQuadratic3by3() - Constructor for class org.ddogleg.solver.FitQuadratic3by3
FIXED - Enum constant in enum class org.ddogleg.struct.BigDogGrowth: Blocks always have a fixed size.
FLETCHER86 - Enum constant in enum class org.ddogleg.optimization.quasinewton.ConfigQuasiNewton.LineSearch: LineSearchFletcher86
flip() - Method in class org.ddogleg.struct.DogArray_B
flip() - Method in class org.ddogleg.struct.DogArray_F32
flip() - Method in class org.ddogleg.struct.DogArray_F64
flip() - Method in class org.ddogleg.struct.DogArray_I16
flip() - Method in class org.ddogleg.struct.DogArray_I32
flip() - Method in class org.ddogleg.struct.DogArray_I64
flip() - Method in class org.ddogleg.struct.DogArray_I8
flip() - Method in interface org.ddogleg.struct.DogArrayPrimitive: Flips the elements such that a[i] = a[N-i-1] where N is the number of elements.
forEach(int, int, DogArray_B.FunctionEach) - Method in class org.ddogleg.struct.BigDogArray_B: Simulates a for-each loop.
forEach(int, int, DogArray_F32.FunctionEach) - Method in class org.ddogleg.struct.BigDogArray_F32: Simulates a for-each loop.
forEach(int, int, DogArray_F64.FunctionEach) - Method in class org.ddogleg.struct.BigDogArray_F64: Simulates a for-each loop.
forEach(int, int, DogArray_I32.FunctionEach) - Method in class org.ddogleg.struct.BigDogArray_I32: Simulates a for-each loop.
forEach(int, int, DogArray_I64.FunctionEach) - Method in class org.ddogleg.struct.BigDogArray_I64: Simulates a for-each loop.
forEach(int, int, DogArray_I8.FunctionEach) - Method in class org.ddogleg.struct.BigDogArray_I8: Simulates a for-each loop.
forEach(int, int, DProcess<T>) - Method in class org.ddogleg.struct.BigDogArray: Simulates a for-each loop.
forEach(int, int, FastAccess.FunctionEach<T>) - Method in class org.ddogleg.struct.FastAccess: For each with a range of values specified
forEach(DogArray_B.FunctionEach) - Method in class org.ddogleg.struct.DogArray_B
forEach(DogArray_F32.FunctionEach) - Method in class org.ddogleg.struct.DogArray_F32
forEach(DogArray_F64.FunctionEach) - Method in class org.ddogleg.struct.DogArray_F64
forEach(DogArray_I16.FunctionEach) - Method in class org.ddogleg.struct.DogArray_I16
forEach(DogArray_I32.FunctionEach) - Method in class org.ddogleg.struct.DogArray_I32
forEach(DogArray_I64.FunctionEach) - Method in class org.ddogleg.struct.DogArray_I64
forEach(DogArray_I8.FunctionEach) - Method in class org.ddogleg.struct.DogArray_I8
forEach(FastAccess.FunctionEach<T>) - Method in class org.ddogleg.struct.FastAccess: The passed in function is called once for each element in the list
forIdx(int, int, DogArray_B.FunctionEachIdx) - Method in class org.ddogleg.struct.BigDogArray_B: Simulates a for-each loop.
forIdx(int, int, DogArray_F32.FunctionEachIdx) - Method in class org.ddogleg.struct.BigDogArray_F32: Simulates a for-each loop.
forIdx(int, int, DogArray_F64.FunctionEachIdx) - Method in class org.ddogleg.struct.BigDogArray_F64: Simulates a for-each loop.
forIdx(int, int, DogArray_I32.FunctionEachIdx) - Method in class org.ddogleg.struct.BigDogArray_I32: Simulates a for-each loop.
forIdx(int, int, DogArray_I64.FunctionEachIdx) - Method in class org.ddogleg.struct.BigDogArray_I64: Simulates a for-each loop.
forIdx(int, int, DogArray_I8.FunctionEachIdx) - Method in class org.ddogleg.struct.BigDogArray_I8: Simulates a for-each loop.
forIdx(int, int, DProcessIdx<T>) - Method in class org.ddogleg.struct.BigDogArray: Simulates a for-each loop.
forIdx(int, int, FastAccess.FunctionEachIdx<T>) - Method in class org.ddogleg.struct.FastAccess: For each with a range of values specified
forIdx(DogArray_B.FunctionEachIdx) - Method in class org.ddogleg.struct.DogArray_B
forIdx(DogArray_F32.FunctionEachIdx) - Method in class org.ddogleg.struct.DogArray_F32
forIdx(DogArray_F64.FunctionEachIdx) - Method in class org.ddogleg.struct.DogArray_F64
forIdx(DogArray_I16.FunctionEachIdx) - Method in class org.ddogleg.struct.DogArray_I16
forIdx(DogArray_I32.FunctionEachIdx) - Method in class org.ddogleg.struct.DogArray_I32
forIdx(DogArray_I64.FunctionEachIdx) - Method in class org.ddogleg.struct.DogArray_I64
forIdx(DogArray_I8.FunctionEachIdx) - Method in class org.ddogleg.struct.DogArray_I8
forIdx(FastAccess.FunctionEachIdx<T>) - Method in class org.ddogleg.struct.FastAccess: The passed in function is called once for each element in the list
fp - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
fprev - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
fraction(DogArray_F64, double) - Static method in class org.ddogleg.stats.StatisticsDogArray
ftest_val - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
ftol - Variable in class org.ddogleg.optimization.ConfigGaussNewton: tolerance for termination, change in function value.
ftol - Variable in class org.ddogleg.optimization.ConvergeOptParam
ftol - Variable in class org.ddogleg.optimization.quasinewton.ConfigQuasiNewton: ftol convergence test.
function - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
function - Variable in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
function - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
functionGradientHessian(DMatrixRMaj, boolean, DMatrixRMaj, HM) - Method in class org.ddogleg.optimization.GaussNewtonBase_F64: Computes the gradient and Hessian at 'x'.
functionGradientHessian(DMatrixRMaj, boolean, DMatrixRMaj, HessianBFGS) - Method in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64
functionGradientHessian(DMatrixRMaj, boolean, DMatrixRMaj, HessianLeastSquares<S>) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
functionGradientHessian(DMatrixRMaj, boolean, DMatrixRMaj, HessianLeastSquares<S>) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
functionGradientHessian(DMatrixRMaj, boolean, DMatrixRMaj, HessianSchurComplement<S>) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
functionGradientHessian(DMatrixRMaj, boolean, DMatrixRMaj, HessianSchurComplement<S>) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
FunctionInOut - Interface in org.ddogleg.optimization.functions: Base class for functions which take in an array of inputs and outputs
functionJacobian - Variable in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
functionJacobian - Variable in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
functionJacobian - Variable in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
functionJacobian - Variable in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
FunctionNtoM - Interface in org.ddogleg.optimization.functions: Function which takes in N parameters as input and outputs M elements.
FunctionNtoMxN<S extends DMatrix> - Interface in org.ddogleg.optimization.functions: Function that takes in a vector of length N and outputs a matrix with dimension M x N.
FunctionNtoN - Interface in org.ddogleg.optimization.functions: Function with N inputs and N outputs.
FunctionNtoS - Interface in org.ddogleg.optimization.functions: Function for non-linear optimization that has a single output and N inputs.
functionResiduals - Variable in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
functionResiduals - Variable in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
functionResiduals - Variable in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
functionResiduals - Variable in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
FunctionStoS - Interface in org.ddogleg.optimization.functions: Function with a single scalar input and a single scalar output.
fx - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64

G

gaussian - Variable in class org.ddogleg.clustering.gmm.GaussianLikelihoodManager.Likelihood
GaussianGmm_F64 - Class in org.ddogleg.clustering.gmm: A Gaussian in a Gaussian Mixture Model.
GaussianGmm_F64() - Constructor for class org.ddogleg.clustering.gmm.GaussianGmm_F64
GaussianGmm_F64(int) - Constructor for class org.ddogleg.clustering.gmm.GaussianGmm_F64: Declares internal data strucures
GaussianLikelihoodManager - Class in org.ddogleg.clustering.gmm: Computes the likelihood of a Gaussian distribution.
GaussianLikelihoodManager(int, List<GaussianGmm_F64>) - Constructor for class org.ddogleg.clustering.gmm.GaussianLikelihoodManager
GaussianLikelihoodManager.Likelihood - Class in org.ddogleg.clustering.gmm: Likelihood for a specific Gaussian
gaussianMixtureModelEM_F64(int, int, double, int) - Static method in class org.ddogleg.clustering.FactoryClustering: High level interface for creating GMM cluster.
GaussNewtonBase_F64<C extends ConfigGaussNewton,HM extends HessianMath> - Class in org.ddogleg.optimization: Base class for Gauss-Newton based approaches for unconstrained optimization.
GaussNewtonBase_F64(HM) - Constructor for class org.ddogleg.optimization.GaussNewtonBase_F64
GaussNewtonBase_F64.Mode - Enum Class in org.ddogleg.optimization: Optimization mode
gaussNewtonStep(DMatrixRMaj) - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
gBg - Variable in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
generate(List<Point>, Model) - Method in interface org.ddogleg.fitting.modelset.ModelGenerator: Creates a list of hypotheses from the set of sample points.
generatorArray - Variable in class org.ddogleg.struct.BigDogArrayBase
generic(ConfigNearestNeighborSearch, KdTreeDistance) - Static method in class org.ddogleg.nn.FactoryNearestNeighbor: Factory for generic NearestNeighbor.
get(int) - Method in class org.ddogleg.combinatorics.Combinations: Returns element 'i' in the bucket.
get(int) - Method in class org.ddogleg.combinatorics.Permute: Returns element 'i' in the current permutation
get(int) - Method in class org.ddogleg.solver.Polynomial
get(int) - Method in class org.ddogleg.struct.BigDogArray_B: Returns the value in the array at the specified index
get(int) - Method in class org.ddogleg.struct.BigDogArray_F32: Returns the value in the array at the specified index
get(int) - Method in class org.ddogleg.struct.BigDogArray_F64: Returns the value in the array at the specified index
get(int) - Method in class org.ddogleg.struct.BigDogArray_I32: Returns the value in the array at the specified index
get(int) - Method in class org.ddogleg.struct.BigDogArray_I64: Returns the value in the array at the specified index
get(int) - Method in class org.ddogleg.struct.BigDogArray_I8: Returns the value in the array at the specified index
get(int) - Method in class org.ddogleg.struct.BigDogArray: Returns the value in the array at the specified index
get(int) - Method in class org.ddogleg.struct.CircularArray_F32: Returns the element in the queue at index.
get(int) - Method in class org.ddogleg.struct.CircularArray_F64: Returns the element in the queue at index.
get(int) - Method in class org.ddogleg.struct.CircularArray_I32: Returns the element in the queue at index.
get(int) - Method in class org.ddogleg.struct.CircularArray: Returns the element in the queue at index.
get(int) - Method in class org.ddogleg.struct.DogArray_B
get(int) - Method in class org.ddogleg.struct.DogArray_F32
get(int) - Method in class org.ddogleg.struct.DogArray_F64
get(int) - Method in class org.ddogleg.struct.DogArray_I16
get(int) - Method in class org.ddogleg.struct.DogArray_I32
get(int) - Method in class org.ddogleg.struct.DogArray_I64
get(int) - Method in class org.ddogleg.struct.DogArray_I8
get(int) - Method in class org.ddogleg.struct.DogArrayList
get(int) - Method in class org.ddogleg.struct.FastAccess
get(int) - Method in class org.ddogleg.struct.FastArrayList
getArray() - Method in class org.ddogleg.struct.DogArrayList
getArray(int, boolean[], int, int) - Method in class org.ddogleg.struct.BigDogArray_B: Copies a sub-array into the passed in array
getArray(int, byte[], int, int) - Method in class org.ddogleg.struct.BigDogArray_I8: Copies a sub-array into the passed in array
getArray(int, double[], int, int) - Method in class org.ddogleg.struct.BigDogArray_F64: Copies a sub-array into the passed in array
getArray(int, float[], int, int) - Method in class org.ddogleg.struct.BigDogArray_F32: Copies a sub-array into the passed in array
getArray(int, int[], int, int) - Method in class org.ddogleg.struct.BigDogArray_I32: Copies a sub-array into the passed in array
getArray(int, long[], int, int) - Method in class org.ddogleg.struct.BigDogArray_I64: Copies a sub-array into the passed in array
getAssignment() - Method in interface org.ddogleg.clustering.ComputeClusters: Returns a class which is used to assign a point to a cluster.
getAssignment() - Method in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64
getAssignment() - Method in class org.ddogleg.clustering.kmeans.StandardKMeans
getBestDistance() - Method in class org.ddogleg.nn.alg.ExhaustiveNeighbor
getBucket(List<T>) - Method in class org.ddogleg.combinatorics.Combinations: Extracts the entire bucket.
getBucketSize() - Method in class org.ddogleg.combinatorics.Combinations: Returns the size of the bucket/output set
getCandidatePoints() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getCheckD0() - Method in class org.ddogleg.struct.Tuple2: Returns d0 but performs a null check first
getCheckD0() - Method in class org.ddogleg.struct.Tuple3: Returns d0 but performs a null check first
getCheckD0() - Method in class org.ddogleg.struct.Tuple4: Returns d0 but performs a null check first
getCheckD1() - Method in class org.ddogleg.struct.Tuple2: Returns d1 but performs a null check first
getCheckD1() - Method in class org.ddogleg.struct.Tuple3: Returns d1 but performs a null check first
getCheckD1() - Method in class org.ddogleg.struct.Tuple4: Returns d1 but performs a null check first
getCheckD2() - Method in class org.ddogleg.struct.Tuple3: Returns d2 but performs a null check first
getCheckD2() - Method in class org.ddogleg.struct.Tuple4: Returns d2 but performs a null check first
getCheckD3() - Method in class org.ddogleg.struct.Tuple4: Returns d3 but performs a null check first
getChisq() - Method in class org.ddogleg.clustering.gmm.GaussianLikelihoodManager.Likelihood
getCoefficients() - Method in class org.ddogleg.solver.FitQuadratic1D
getCoefficients() - Method in class org.ddogleg.solver.Polynomial
getConfig() - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64
getCopy(int, P) - Method in class org.ddogleg.clustering.misc.ListAccessor
getCopy(int, P) - Method in interface org.ddogleg.struct.LArrayAccessor: Copies the element at 'index' into 'dst'.
getCovariance() - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64
getCurrentState() - Method in interface org.ddogleg.optimization.functions.LineSearchFunction
getCurrentState() - Method in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
getCurrentState() - Method in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
getData() - Method in class org.ddogleg.struct.DogArray
getDeltaX() - Method in class org.ddogleg.solver.FitQuadratic3by3
getDeltaY() - Method in class org.ddogleg.solver.FitQuadratic3by3
getDesiredBlocks(int) - Method in class org.ddogleg.struct.BigDogArrayBase: Returns the number of blocks needed to store an array of the specified size
getDistance() - Method in interface org.ddogleg.nn.alg.KdTreeSearch1: Returns the distance of the closest node.
getDistance() - Method in class org.ddogleg.nn.alg.searches.KdTreeSearch1Bbf
getDistance() - Method in class org.ddogleg.nn.alg.searches.KdTreeSearch1Standard
getDistanceMeasure() - Method in interface org.ddogleg.clustering.ComputeClusters: Returns the sum of all the distances between each point in the set.
getDistanceMeasure() - Method in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64
getDistanceMeasure() - Method in class org.ddogleg.clustering.kmeans.StandardKMeans: Computes the potential function.
getElement(int, boolean) - Method in class org.ddogleg.struct.DogLinkedList: Returns the N'th element when counting from the from or from the back
getElementType() - Method in class org.ddogleg.clustering.misc.ListAccessor
getElementType() - Method in interface org.ddogleg.struct.LArrayAccessor: Data type of element
getErrorFraction() - Method in interface org.ddogleg.fitting.modelset.InlierFraction: Gets the inlier set's fractional value
getErrorFraction() - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
getErrorMetric() - Method in class org.ddogleg.fitting.modelset.distance.FitByMeanStatistics
getErrorMetric() - Method in class org.ddogleg.fitting.modelset.distance.FitByMedianStatistics
getErrorMetric() - Method in interface org.ddogleg.fitting.modelset.distance.StatisticalFit: Returns the computed statistical error.
getFirst() - Method in class org.ddogleg.struct.DogLinkedList: Returns the value in the head
getFitQuality() - Method in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
getFitQuality() - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Value of the best median error.
getFitQuality() - Method in interface org.ddogleg.fitting.modelset.ModelMatcher: Returns the metric used to evaluate the quality of fit.
getFitQuality() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
getFitQuality() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getFitScore() - Method in interface org.ddogleg.fitting.modelset.ModelFitter: Returns the fit score.
getFoundX() - Method in class org.ddogleg.solver.FitQuadratic2D
getFoundY() - Method in class org.ddogleg.solver.FitQuadratic2D
getFraction(double) - Method in class org.ddogleg.struct.DogArray_F32: Gets the value at the index which corresponds to the specified fraction
getFraction(double) - Method in class org.ddogleg.struct.DogArray_F64: Gets the value at the index which corresponds to the specified fraction
getFraction(double) - Method in class org.ddogleg.struct.DogArray_I16: Gets the value at the index which corresponds to the specified fraction
getFraction(double) - Method in class org.ddogleg.struct.DogArray_I32: Gets the value at the index which corresponds to the specified fraction
getFraction(double) - Method in class org.ddogleg.struct.DogArray_I64: Gets the value at the index which corresponds to the specified fraction
getFraction(double) - Method in class org.ddogleg.struct.DogArray_I8: Gets the value at the index which corresponds to the specified fraction
getFuncMinValue() - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS
getFunction() - Method in interface org.ddogleg.optimization.LineSearch: Function value at the current step
getFunction() - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
getFunction() - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94
getFunctionValue() - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
getFunctionValue() - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
getFunctionValue() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
getFunctionValue() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
getFunctionValue() - Method in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64
getFunctionValue() - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquares: Returns the value of the objective function being evaluated at the current parameters value.
getFunctionValue() - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquaresSchur: Returns the value of the objective function being evaluated at the current parameters value.
getFunctionValue() - Method in interface org.ddogleg.optimization.UnconstrainedMinimization: Returns the value of the objective function being evaluated at the current parameters value.
getFunctionValue() - Method in class org.ddogleg.optimization.wrap.QuasiNewtonBFGS_to_UnconstrainedMinimization
getFx() - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS
getGTol() - Method in interface org.ddogleg.optimization.LineSearch: from wolfe condition.
getGTol() - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
getGTol() - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94
getHead() - Method in class org.ddogleg.struct.DogLinkedList: Returns the first element in the list
getHessian() - Method in class org.ddogleg.optimization.math.HessianMath_DDRM
getInitialSample() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getInlierSize() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getInputIndex(int) - Method in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
getInputIndex(int) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
getInputIndex(int) - Method in interface org.ddogleg.fitting.modelset.ModelMatcher: For an item in the match set, return the index of the item in the original input set.
getInputIndex(int) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
getInputIndex(int) - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getIteration() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getJacobian() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
getLast() - Method in class org.ddogleg.struct.DogLinkedList: Returns the value in the trail
getLikelihood(int) - Method in class org.ddogleg.clustering.gmm.GaussianLikelihoodManager: Returns a precomputed likelihood function
getLineSearch() - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS
getMatchSet() - Method in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
getMatchSet() - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: If configured to computer the inlier set it returns the computed inliers.
getMatchSet() - Method in interface org.ddogleg.fitting.modelset.ModelMatcher: A set of points which match the provided parameters.
getMatchSet() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
getMatchSet() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getMaxIterations() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
getMaxIterations() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getMaxRoots() - Method in class org.ddogleg.solver.impl.FindRealRootsSturm
getMaxSize() - Method in class org.ddogleg.struct.FastAccess: The maximum number of elements before the 'data' array needs to grow
getMean() - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64
getMinimumPoints() - Method in interface org.ddogleg.fitting.modelset.ModelGenerator: The minimum number of points required to fit a data set
getMinimumSize() - Method in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
getMinimumSize() - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
getMinimumSize() - Method in interface org.ddogleg.fitting.modelset.ModelMatcher: This is the minimum number of observations which can be input and produce a valid model.
getMinimumSize() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
getMinimumSize() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getModelIndex() - Method in interface org.ddogleg.fitting.modelset.ModelMatcherMulti: Indicates which model was found to best fit the points.
getModelIndex() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getModelParameters() - Method in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
getModelParameters() - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
getModelParameters() - Method in interface org.ddogleg.fitting.modelset.ModelMatcher: Model for the match set
getModelParameters() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
getModelParameters() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getModelType() - Method in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
getModelType() - Method in interface org.ddogleg.fitting.modelset.DistanceFromModel: Returns a class for the input point object
getModelType() - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
getModelType() - Method in interface org.ddogleg.fitting.modelset.ModelMatcher: Returns a class for the input point object
getModelType() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
getModelType() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getN() - Method in class org.ddogleg.optimization.derivative.NumericalGradientFB
getN() - Method in class org.ddogleg.optimization.derivative.NumericalGradientForward
getN() - Method in interface org.ddogleg.optimization.functions.CoupledGradient
getN() - Method in interface org.ddogleg.optimization.functions.FunctionNtoN: Returns the number of inputs and outputs for this function.
getN() - Method in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
getN() - Method in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
getN() - Method in class org.ddogleg.optimization.wrap.LsToNonLinearDeriv
getNumberOfClusters() - Method in interface org.ddogleg.clustering.AssignCluster: Total number of clusters.
getNumberOfClusters() - Method in class org.ddogleg.clustering.gmm.AssignGmm_F64
getNumberOfClusters() - Method in class org.ddogleg.clustering.kmeans.AssignKMeans
getNumberOfRoots() - Method in class org.ddogleg.solver.impl.FindRealRootsSturm
getNumOfInputsN() - Method in class org.ddogleg.optimization.derivative.NumericalJacobianFB
getNumOfInputsN() - Method in class org.ddogleg.optimization.derivative.NumericalJacobianForward_DDRM
getNumOfInputsN() - Method in class org.ddogleg.optimization.derivative.NumericalJacobianForward_DSCC
getNumOfInputsN() - Method in interface org.ddogleg.optimization.functions.FunctionInOut: Number of input elements.
getNumOfInputsN() - Method in interface org.ddogleg.optimization.functions.FunctionNtoS: The number of inputs.
getNumOfInputsN() - Method in class org.ddogleg.optimization.wrap.Individual_to_CoupledJacobian
getNumOfInputsN() - Method in class org.ddogleg.optimization.wrap.LsToNonLinear
getNumOfInputsN() - Method in class org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN
getNumOfOutputsM() - Method in class org.ddogleg.optimization.derivative.NumericalJacobianFB
getNumOfOutputsM() - Method in class org.ddogleg.optimization.derivative.NumericalJacobianForward_DDRM
getNumOfOutputsM() - Method in class org.ddogleg.optimization.derivative.NumericalJacobianForward_DSCC
getNumOfOutputsM() - Method in interface org.ddogleg.optimization.functions.FunctionInOut: Number of output elements.
getNumOfOutputsM() - Method in class org.ddogleg.optimization.wrap.Individual_to_CoupledJacobian
getNumOfOutputsM() - Method in class org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN
getOutside(List<T>) - Method in class org.ddogleg.combinatorics.Combinations: This returns all the items that are not currently inside the bucket
getParameters() - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
getParameters() - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
getParameters() - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS
getParameters() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
getParameters() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
getParameters() - Method in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64
getParameters() - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquares: After each iteration this function can be called to get the current best set of parameters.
getParameters() - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquaresSchur: After each iteration this function can be called to get the current best set of parameters.
getParameters() - Method in interface org.ddogleg.optimization.UnconstrainedMinimization: After each iteration this function can be called to get the current best set of parameters.
getParameters() - Method in class org.ddogleg.optimization.wrap.QuasiNewtonBFGS_to_UnconstrainedMinimization
getParamLength() - Method in interface org.ddogleg.fitting.modelset.ModelCodec: Number of elements in array encoded parameters.
getPermutation(List<T>) - Method in class org.ddogleg.combinatorics.Permute: Returns a list containing the current permutation.
getPoint() - Method in class org.ddogleg.nn.alg.KdTree.Node
getPointLength() - Method in interface org.ddogleg.nn.alg.AxisSplitter: Number of elements in a point
getPointLength() - Method in class org.ddogleg.nn.alg.AxisSplitterMedian
getPointType() - Method in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
getPointType() - Method in interface org.ddogleg.fitting.modelset.DistanceFromModel: Returns a class for the input point object
getPointType() - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
getPointType() - Method in interface org.ddogleg.fitting.modelset.ModelMatcher: Returns a class for the input point object
getPointType() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
getPointType() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getPredictedReduction() - Method in interface org.ddogleg.optimization.trustregion.TrustRegionBase_F64.ParameterUpdate: Returns the predicted reduction from the quadratic model.

reduction = m(0) - m(p) = -g(0)*p - 0.5*p^T*H(0)*p
getPredictedReduction() - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateCauchy_F64
getPredictedReduction() - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
getResiduals() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
getResiduals() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
getRoots() - Method in class org.ddogleg.solver.impl.FindRealRootsSturm
getRoots() - Method in class org.ddogleg.solver.impl.RootFinderCompanion
getRoots() - Method in class org.ddogleg.solver.impl.WrapRealRootsSturm
getRoots() - Method in interface org.ddogleg.solver.PolynomialRoots: Returns all the found roots of the polynomial.
getSize() - Method in class org.ddogleg.struct.DogArray
getSplitAxis() - Method in interface org.ddogleg.nn.alg.AxisSplitter: The axis/dimension that the input list was split on
getSplitAxis() - Method in class org.ddogleg.nn.alg.AxisSplitterMedian
getSplitIndex() - Method in interface org.ddogleg.nn.alg.AxisSplitter: Index associated with the split point
getSplitIndex() - Method in class org.ddogleg.nn.alg.AxisSplitterMedian
getSplitPoint() - Method in interface org.ddogleg.nn.alg.AxisSplitter: Returns the point used to split the data
getSplitPoint() - Method in class org.ddogleg.nn.alg.AxisSplitterMedian
getStep() - Method in interface org.ddogleg.optimization.LineSearch: Returns the current approximate solution for the line search
getStep() - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
getStep() - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94
getStepLength() - Method in interface org.ddogleg.optimization.trustregion.TrustRegionBase_F64.ParameterUpdate: This function returns ||p||.
getStepLength() - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateCauchy_F64
getStepLength() - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
getTail() - Method in class org.ddogleg.struct.DogArray_B
getTail() - Method in class org.ddogleg.struct.DogArray_F32
getTail() - Method in class org.ddogleg.struct.DogArray_F64
getTail() - Method in class org.ddogleg.struct.DogArray_I16
getTail() - Method in class org.ddogleg.struct.DogArray_I32
getTail() - Method in class org.ddogleg.struct.DogArray_I64
getTail() - Method in class org.ddogleg.struct.DogArray_I8
getTail() - Method in class org.ddogleg.struct.DogLinkedList: Returns the last element in the list
getTail() - Method in class org.ddogleg.struct.FastAccess
getTail(int) - Method in class org.ddogleg.struct.BigDogArray_B: Returns the value in the array at the specified index, counting from the end of the array.
getTail(int) - Method in class org.ddogleg.struct.BigDogArray_F32: Returns the value in the array at the specified index, counting from the end of the array.
getTail(int) - Method in class org.ddogleg.struct.BigDogArray_F64: Returns the value in the array at the specified index, counting from the end of the array.
getTail(int) - Method in class org.ddogleg.struct.BigDogArray_I32: Returns the value in the array at the specified index, counting from the end of the array.
getTail(int) - Method in class org.ddogleg.struct.BigDogArray_I64: Returns the value in the array at the specified index, counting from the end of the array.
getTail(int) - Method in class org.ddogleg.struct.BigDogArray_I8: Returns the value in the array at the specified index, counting from the end of the array.
getTail(int) - Method in class org.ddogleg.struct.BigDogArray: Returns the value in the array at the specified index, counting from the end of the array.
getTail(int) - Method in class org.ddogleg.struct.DogArray_B: Returns an element starting from the end of the list.
getTail(int) - Method in class org.ddogleg.struct.DogArray_F32: Returns an element starting from the end of the list.
getTail(int) - Method in class org.ddogleg.struct.DogArray_F64: Returns an element starting from the end of the list.
getTail(int) - Method in class org.ddogleg.struct.DogArray_I16: Returns an element starting from the end of the list.
getTail(int) - Method in class org.ddogleg.struct.DogArray_I32: Returns an element starting from the end of the list.
getTail(int) - Method in class org.ddogleg.struct.DogArray_I64: Returns an element starting from the end of the list.
getTail(int) - Method in class org.ddogleg.struct.DogArray_I8: Returns an element starting from the end of the list.
getTail(int) - Method in class org.ddogleg.struct.FastAccess: Returns an element in the list relative to the tail
getTemp(int) - Method in class org.ddogleg.clustering.misc.ListAccessor
getTemp(int) - Method in interface org.ddogleg.struct.LArrayAccessor: Returns an instance of P which has the value of the element at 'index'.
getThresholdFit() - Method in interface org.ddogleg.fitting.modelset.InlierThreshold: Returns the inlier threshold
getThresholdFit() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
getTotalAllocation() - Method in class org.ddogleg.struct.BigDogArrayBase: Returns the number of elements which have been allocated.
getTotalPermutations() - Method in class org.ddogleg.combinatorics.Permute: Returns the total number of permutations
getType() - Method in class org.ddogleg.struct.DogArray
getUnused() - Method in class org.ddogleg.struct.RecycleManager: Returns the stack containing all the unused instances.
getUsed() - Method in class org.ddogleg.struct.RecycleManagerL
getWeight() - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64
GIT_BRANCH - Static variable in class org.ddogleg.DDoglegVersion
GIT_DATE - Static variable in class org.ddogleg.DDoglegVersion
GIT_REVISION - Static variable in class org.ddogleg.DDoglegVersion
GIT_SHA - Static variable in class org.ddogleg.DDoglegVersion
glm - Variable in class org.ddogleg.clustering.gmm.AssignGmm_F64
gp - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
gprev - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
gradient - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64: Storage for the gradient
gradient - Variable in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
gradient - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
gradient(FunctionNtoS, FunctionNtoN, double[], double) - Static method in class org.ddogleg.optimization.DerivativeChecker: Compares the passed in gradient function to a numerical calculation.
gradient(FunctionNtoS, FunctionNtoN, double[], double, double) - Static method in class org.ddogleg.optimization.DerivativeChecker
gradientForwards(FunctionNtoS) - Static method in class org.ddogleg.optimization.FactoryNumericalDerivative
GradientLineFunction - Interface in org.ddogleg.optimization.functions: Contains functions for optimization algorithms that perform a line search and require the function's value and its gradient.
gradientNorm - Variable in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64: F-norm of the gradient
gradientR(FunctionNtoS, FunctionNtoN, double[], double) - Static method in class org.ddogleg.optimization.DerivativeChecker: Compares the passed in gradient function to a numerical calculation.
gradientR(FunctionNtoS, FunctionNtoN, double[], double, double) - Static method in class org.ddogleg.optimization.DerivativeChecker
GraphDataManager<N,E> - Class in org.ddogleg.graph: Handles creating and recycling data in a graph.
GraphDataManager() - Constructor for class org.ddogleg.graph.GraphDataManager
grow() - Method in class org.ddogleg.struct.BigDogArray: Adds a new element to the tail and returns it.
grow() - Method in class org.ddogleg.struct.CircularArray: Adds a new element to the end of the list and returns it.
grow() - Method in class org.ddogleg.struct.DogArray: Returns a new element of data.
GROW - Enum constant in enum class org.ddogleg.struct.BigDogGrowth: Every new block will start out as small as possible.
GROW_FIRST - Enum constant in enum class org.ddogleg.struct.BigDogGrowth: The first block will grow as needed but all blocks later on are fixed.
growth - Variable in class org.ddogleg.struct.BigDogArrayBase: Approach used for growth.
growW() - Method in class org.ddogleg.struct.CircularArray: Adds a new element to the end of the list and returns it.
gtest_val - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
gtol - Variable in class org.ddogleg.optimization.ConfigGaussNewton: tolerance for termination.
gtol - Variable in class org.ddogleg.optimization.ConvergeOptParam
gtol - Variable in class org.ddogleg.optimization.quasinewton.ConfigQuasiNewton: gtol convergence test.

H

hasNext() - Method in class org.ddogleg.struct.DogArrayList.MyIterator
hasNext() - Method in class org.ddogleg.struct.FastArrayList.MyIterator
hasPrevious() - Method in class org.ddogleg.struct.DogArrayList.MyIterator
hasPrevious() - Method in class org.ddogleg.struct.FastArrayList.MyIterator
head() - Method in class org.ddogleg.struct.CircularArray_F32: Value of the first element in the queue
head() - Method in class org.ddogleg.struct.CircularArray_F64: Value of the first element in the queue
head() - Method in class org.ddogleg.struct.CircularArray_I32: Value of the first element in the queue
head() - Method in class org.ddogleg.struct.CircularArray: Value of the first element in the queue
helper - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
helper - Variable in class org.ddogleg.fitting.modelset.ransac.Ransac
Helper() - Constructor for class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst.Helper
hessian - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
hessian - Variable in class org.ddogleg.optimization.math.HessianMath_DDRM
HessianBFGS - Interface in org.ddogleg.optimization.math: Hessian update using BFGS.
HessianBFGS_DDRM - Class in org.ddogleg.optimization.math: Uses DFP to estimate the Hessian and BFGS to estimate the inverse Hessian.
HessianBFGS_DDRM(boolean) - Constructor for class org.ddogleg.optimization.math.HessianBFGS_DDRM
HessianLeastSquares<S extends DMatrix> - Interface in org.ddogleg.optimization.math
HessianLeastSquares_DDRM - Class in org.ddogleg.optimization.math
HessianLeastSquares_DDRM() - Constructor for class org.ddogleg.optimization.math.HessianLeastSquares_DDRM
HessianLeastSquares_DDRM(LinearSolverDense<DMatrixRMaj>) - Constructor for class org.ddogleg.optimization.math.HessianLeastSquares_DDRM
HessianLeastSquares_DSCC - Class in org.ddogleg.optimization.math
HessianLeastSquares_DSCC() - Constructor for class org.ddogleg.optimization.math.HessianLeastSquares_DSCC
HessianLeastSquares_DSCC(LinearSolverSparse<DMatrixSparseCSC, DMatrixRMaj>) - Constructor for class org.ddogleg.optimization.math.HessianLeastSquares_DSCC
HessianMath - Interface in org.ddogleg.optimization.math: Abstraction layer for operations related to hessian matrix.
HessianMath_DDRM - Class in org.ddogleg.optimization.math: Hessian is represented as a dense matrix.
HessianMath_DDRM() - Constructor for class org.ddogleg.optimization.math.HessianMath_DDRM
HessianMath_DDRM(LinearSolverDense<DMatrixRMaj>) - Constructor for class org.ddogleg.optimization.math.HessianMath_DDRM
HessianMath_DSCC - Class in org.ddogleg.optimization.math: Hessian is represented as a sparse compact column matrix.
HessianMath_DSCC() - Constructor for class org.ddogleg.optimization.math.HessianMath_DSCC
HessianMath_DSCC(LinearSolverSparse<DMatrixSparseCSC, DMatrixRMaj>) - Constructor for class org.ddogleg.optimization.math.HessianMath_DSCC
hessianScaling - Variable in class org.ddogleg.optimization.ConfigGaussNewton: Optional scaling of Jacobian to make the Hessian matrix better suited for decomposition by improving the matrice's condition scaling = sqrt(diag(B)) where B is the Hessian matrix.
hessianScaling - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
HessianSchurComplement<S extends DMatrix> - Interface in org.ddogleg.optimization.math: Given the already computed Jacobian (broken up into a left and right side) compute the decomposed approximate Hessian matrix, i.e.
HessianSchurComplement_Base<S extends DMatrix> - Class in org.ddogleg.optimization.math: The approximate Hessian matrix (J'*J) is assumed to have the following block triangle form: [A B;C D].
HessianSchurComplement_Base(LinearSolverSparse<S, DMatrixRMaj>, LinearSolverSparse<S, DMatrixRMaj>) - Constructor for class org.ddogleg.optimization.math.HessianSchurComplement_Base
HessianSchurComplement_DDRM - Class in org.ddogleg.optimization.math: Implementation of HessianSchurComplement_Base for DMatrixRMaj
HessianSchurComplement_DDRM() - Constructor for class org.ddogleg.optimization.math.HessianSchurComplement_DDRM
HessianSchurComplement_DDRM(LinearSolverDense<DMatrixRMaj>, LinearSolverDense<DMatrixRMaj>) - Constructor for class org.ddogleg.optimization.math.HessianSchurComplement_DDRM
HessianSchurComplement_DSCC - Class in org.ddogleg.optimization.math: Implementation of HessianSchurComplement_Base for DMatrixSparseCSC
HessianSchurComplement_DSCC() - Constructor for class org.ddogleg.optimization.math.HessianSchurComplement_DSCC
HessianSchurComplement_DSCC(LinearSolverSparse<DMatrixSparseCSC, DMatrixRMaj>, LinearSolverSparse<DMatrixSparseCSC, DMatrixRMaj>) - Constructor for class org.ddogleg.optimization.math.HessianSchurComplement_DSCC

I

include(double) - Method in interface org.ddogleg.struct.DogArray_F32.Filter
include(double) - Method in interface org.ddogleg.struct.DogArray_F64.Filter
include(int) - Method in interface org.ddogleg.struct.DogArray_I16.Filter
include(int) - Method in interface org.ddogleg.struct.DogArray_I32.Filter
include(int) - Method in interface org.ddogleg.struct.DogArray_I8.Filter
include(long) - Method in interface org.ddogleg.struct.DogArray_I64.Filter
index - Variable in class org.ddogleg.fitting.modelset.distance.PointIndex
index - Variable in class org.ddogleg.nn.alg.KdTree.Node: Optional index that can be associated with the point to an array or look up in a hash table
index - Variable in class org.ddogleg.nn.NnData
indexOf(boolean) - Method in class org.ddogleg.struct.DogArray_B: Returns the index of the first element with the specified 'value'.
indexOf(double) - Method in class org.ddogleg.struct.DogArray_F64: Returns the index of the first element with the specified 'value'.
indexOf(float) - Method in class org.ddogleg.struct.DogArray_F32: Returns the index of the first element with the specified 'value'.
indexOf(int) - Method in class org.ddogleg.struct.DogArray_I16: Returns the index of the first element with the specified 'value'.
indexOf(int) - Method in class org.ddogleg.struct.DogArray_I32: Returns the index of the first element with the specified 'value'.
indexOf(int) - Method in class org.ddogleg.struct.DogArray_I8: Returns the index of the first element with the specified 'value'.
indexOf(long) - Method in class org.ddogleg.struct.DogArray_I64: Returns the index of the first element with the specified 'value'.
indexOf(Object) - Method in class org.ddogleg.struct.DogArrayList
indexOf(Object) - Method in class org.ddogleg.struct.FastArrayList
indexOf(T) - Method in class org.ddogleg.struct.FastAccess: Returns the first index which equals() obj.
indexOfGreatest() - Method in class org.ddogleg.struct.DogArray_F32
indexOfGreatest() - Method in class org.ddogleg.struct.DogArray_F64
indexOfGreatest() - Method in class org.ddogleg.struct.DogArray_I16
indexOfGreatest() - Method in class org.ddogleg.struct.DogArray_I32
indexOfGreatest() - Method in class org.ddogleg.struct.DogArray_I64
indexOfGreatest() - Method in class org.ddogleg.struct.DogArray_I8
indexOfLeast() - Method in class org.ddogleg.struct.DogArray_F32
indexOfLeast() - Method in class org.ddogleg.struct.DogArray_F64
indexOfLeast() - Method in class org.ddogleg.struct.DogArray_I16
indexOfLeast() - Method in class org.ddogleg.struct.DogArray_I32
indexOfLeast() - Method in class org.ddogleg.struct.DogArray_I64
indexOfLeast() - Method in class org.ddogleg.struct.DogArray_I8
Individual_to_CoupledDerivative - Class in org.ddogleg.optimization.wrap: Takes two functions which independently computes the function's value and derivative and allows them to be used in a coupled function.
Individual_to_CoupledDerivative(FunctionStoS, FunctionStoS) - Constructor for class org.ddogleg.optimization.wrap.Individual_to_CoupledDerivative
Individual_to_CoupledJacobian<S extends DMatrix> - Class in org.ddogleg.optimization.wrap: Wrapper around FunctionNtoM and FunctionNtoMxN for CoupledJacobian.
Individual_to_CoupledJacobian(FunctionNtoM, FunctionNtoMxN<S>) - Constructor for class org.ddogleg.optimization.wrap.Individual_to_CoupledJacobian
init(double, double, double, double, double, double) - Method in interface org.ddogleg.optimization.LineSearch: Initializes and resets the line search.
init(double, double, double, double, double, double) - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
init(double, double, double, double, double, double) - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94
init(int) - Method in class org.ddogleg.optimization.math.HessianBFGS_DDRM
init(int) - Method in class org.ddogleg.optimization.math.HessianMath_DDRM
init(int) - Method in class org.ddogleg.optimization.math.HessianMath_DSCC
init(int) - Method in interface org.ddogleg.optimization.math.HessianMath: Initialize Hessian to be in its initial state with the specified dimensions
init(int) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
init(int, long) - Method in interface org.ddogleg.clustering.gmm.InitializeGmm_F64: Initializes internal data structures.
init(int, long) - Method in class org.ddogleg.clustering.gmm.SeedFromKMeans_F64
init(int, Factory<T>) - Method in class org.ddogleg.struct.DogArray: Data structure initialization is done here so that child classes can declay initialization until they are ready
init(List<T>, int) - Method in class org.ddogleg.combinatorics.Combinations: Initialize with a new list and bucket size
init(DistanceFromModel<Model, Point>, ArrayDeque<PointIndex<Point>>) - Method in class org.ddogleg.fitting.modelset.distance.FitByMeanStatistics
init(DistanceFromModel<Model, Point>, ArrayDeque<PointIndex<Point>>) - Method in class org.ddogleg.fitting.modelset.distance.FitByMedianStatistics
init(DistanceFromModel<Model, Point>, ArrayDeque<PointIndex<Point>>) - Method in interface org.ddogleg.fitting.modelset.distance.StatisticalFit: This is called once to provide access to internal data structures of the owner.
initialize(double[]) - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS
initialize(double[], double, double) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
initialize(double[], double, double) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
initialize(double[], double, double) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
initialize(double[], double, double) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
initialize(double[], double, double) - Method in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64
initialize(double[], double, double) - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquares: Specify the initial set of parameters from which to start from.
initialize(double[], double, double) - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquaresSchur: Specify the initial set of parameters from which to start from.
initialize(double[], double, double) - Method in interface org.ddogleg.optimization.UnconstrainedMinimization: Specify the initial set of parameters from which to start from.
initialize(double[], double, double) - Method in class org.ddogleg.optimization.wrap.QuasiNewtonBFGS_to_UnconstrainedMinimization
initialize(double[], int) - Method in class org.ddogleg.optimization.GaussNewtonBase_F64
initialize(double[], int, double) - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64: Specifies initial state of the search and completion criteria
initialize(double[], int, double) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
initialize(double[], int, double) - Method in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64: Override parent to initialize matrices
initialize(double[], int, int) - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Initializes the search.
initialize(int) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares.TrialHelper
initialize(long) - Method in interface org.ddogleg.clustering.ComputeClusters: Must be called first to initializes internal data structures.
initialize(long) - Method in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64
initialize(long) - Method in class org.ddogleg.clustering.kmeans.StandardKMeans
initialize(Array, int) - Method in interface org.ddogleg.struct.BigDogArrayBase.AssignNewArrayElements
initialize(List<Point>) - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti: Initialize internal data structures before performing RANSAC iterations
initialize(PointDistance, long) - Method in interface org.ddogleg.clustering.kmeans.InitializeKMeans: Initializes internal data structures.
initialize(PointDistance, long) - Method in class org.ddogleg.clustering.kmeans.InitializePlusPlus
initialize(PointDistance, long) - Method in class org.ddogleg.clustering.kmeans.InitializeStandard
initialize(ModelGenerator<Model, Point>, DistanceFromModel<Model, Point>) - Method in interface org.ddogleg.fitting.modelset.ransac.Ransac.InitializeModels
initialize(TrustRegionBase_F64<S, ?>, int, double) - Method in interface org.ddogleg.optimization.trustregion.TrustRegionBase_F64.ParameterUpdate: Must call this function first.
initialize(TrustRegionBase_F64<S, ?>, int, double) - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateCauchy_F64
initialize(TrustRegionBase_F64<S, ?>, int, double) - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
initialize(Polynomial) - Method in class org.ddogleg.solver.impl.SturmSequence: Compute the Sturm sequence using a more efficient iterative implementation as outlined in [1].
initializeArray - Variable in class org.ddogleg.struct.BigDogArrayBase
InitializeGmm_F64 - Interface in org.ddogleg.clustering.gmm: Selects initial Gaussians for EM algorithm.
InitializeKMeans - Interface in org.ddogleg.clustering.kmeans: Selects the initial cluster positions for k-means
initializeModels - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Optional function for initializing generator and distance functions
initializeModels - Variable in class org.ddogleg.fitting.modelset.ransac.Ransac: Optional function for initializing generator and distance functions
InitializePlusPlus - Class in org.ddogleg.clustering.kmeans: Implementation of the seeding strategy described in [1].
InitializePlusPlus() - Constructor for class org.ddogleg.clustering.kmeans.InitializePlusPlus
InitializePlusPlus_MT - Class in org.ddogleg.clustering.kmeans: Concurrent implementation of InitializePlusPlus
InitializePlusPlus_MT(DogLambdas.NewInstance) - Constructor for class org.ddogleg.clustering.kmeans.InitializePlusPlus_MT
initializer - Variable in class org.ddogleg.clustering.ConfigKMeans: Which initialization algorithm
initializeSearch(double, double, double, double) - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
initializeSolver() - Method in class org.ddogleg.optimization.math.HessianBFGS_DDRM
initializeSolver() - Method in class org.ddogleg.optimization.math.HessianMath_DDRM
initializeSolver() - Method in class org.ddogleg.optimization.math.HessianMath_DSCC
initializeSolver() - Method in interface org.ddogleg.optimization.math.HessianMath: Initializes the solver
initializeSolver() - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
InitializeStandard - Class in org.ddogleg.clustering.kmeans: Seeds are selects by randomly picking points.
InitializeStandard() - Constructor for class org.ddogleg.clustering.kmeans.InitializeStandard
initializeUpdate() - Method in interface org.ddogleg.optimization.trustregion.TrustRegionBase_F64.ParameterUpdate: Initialize the parameter update.
initializeUpdate() - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateCauchy_F64
initializeUpdate() - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
initialSample - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
inlierFrac - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
InlierFraction - Interface in org.ddogleg.fitting.modelset: Specifies inlier set as a fraction
inlierSet - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
InlierThreshold - Interface in org.ddogleg.fitting.modelset: Specifies a fit threshold for an inlier set based upon a maximum allowed error
innerProduct(double[], int, DMatrixRMaj, double[], int) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DDRM
innerProduct(double[], int, DMatrixSparseCSC, double[], int) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DSCC
innerProduct(double[], int, S, double[], int) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
innerVectorHessian(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianMath_DDRM
innerVectorHessian(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianMath_DSCC
innerVectorHessian(DMatrixRMaj) - Method in interface org.ddogleg.optimization.math.HessianMath: Returns v^T*M*v
innerVectorHessian(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base: Vector matrix inner product of Hessian in block format.
insert(int, boolean) - Method in class org.ddogleg.struct.DogArray_B: Inserts the value at the specified index and shifts all the other values down.
insert(int, double) - Method in class org.ddogleg.struct.DogArray_F64: Inserts the value at the specified index and shifts all the other values down.
insert(int, float) - Method in class org.ddogleg.struct.DogArray_F32: Inserts the value at the specified index and shifts all the other values down.
insert(int, int) - Method in class org.ddogleg.struct.DogArray_I16: Inserts the value at the specified index and shifts all the other values down.
insert(int, int) - Method in class org.ddogleg.struct.DogArray_I32: Inserts the value at the specified index and shifts all the other values down.
insert(int, int) - Method in class org.ddogleg.struct.DogArray_I8: Inserts the value at the specified index and shifts all the other values down.
insert(int, long) - Method in class org.ddogleg.struct.DogArray_I64: Inserts the value at the specified index and shifts all the other values down.
insertAfter(DogLinkedList.Element<T>, T) - Method in class org.ddogleg.struct.DogLinkedList: Inserts the object into a new element after the provided element.
insertBefore(DogLinkedList.Element<T>, T) - Method in class org.ddogleg.struct.DogLinkedList: Inserts the object into a new element before the provided element.
interpolate(double, double) - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86: Use either quadratic of cubic interpolation to guess the minimum.
intersection(int[], int, int[], int, int, int, DogArray_I32, DogArray_I8) - Static method in class org.ddogleg.util.PrimitiveArrays: Finds the intersection of two sets.
intersection(int[], int, int[], int, DogArray_I32, DogArray_I8) - Static method in class org.ddogleg.util.PrimitiveArrays: Finds the itersection of two sets.
invCov - Variable in class org.ddogleg.clustering.gmm.GaussianLikelihoodManager.Likelihood
inverseUpdate(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ddogleg.optimization.quasinewton.EquationsBFGS: BFGS inverse hessian update equation that orders the multiplications to minimize the number of operations.
isConverged() - Method in interface org.ddogleg.optimization.IterativeOptimization: Indicates if iteration stopped due to convergence or not.
isConverged() - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
isConverged() - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
isConverged() - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
isConverged() - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94
isConverged() - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS: True if the line search converged to a solution
isConverged() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
isConverged() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
isConverged() - Method in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64
isConverged() - Method in class org.ddogleg.optimization.wrap.QuasiNewtonBFGS_to_UnconstrainedMinimization
isDeclare() - Method in class org.ddogleg.struct.DogArray
isEmpty() - Method in class org.ddogleg.struct.CircularArray_F32
isEmpty() - Method in class org.ddogleg.struct.CircularArray_F64
isEmpty() - Method in class org.ddogleg.struct.CircularArray_I32
isEmpty() - Method in class org.ddogleg.struct.CircularArray
isEmpty() - Method in class org.ddogleg.struct.DogArrayList
isEmpty() - Method in interface org.ddogleg.struct.DogArrayPrimitive: True if the container has no elements
isEmpty() - Method in class org.ddogleg.struct.DogLinkedList: Checks to see if there are no elements in the list
isEmpty() - Method in class org.ddogleg.struct.FastAccess: True if the container has no elements
isEmpty() - Method in class org.ddogleg.struct.FastArrayList
isEquals(boolean...) - Method in class org.ddogleg.struct.DogArray_B
isEquals(byte...) - Method in class org.ddogleg.struct.DogArray_I8: Sees is the primitive array is equal to the values in this array
isEquals(double...) - Method in class org.ddogleg.struct.DogArray_F64: Sees is the primitive array is equal to the values in this array
isEquals(float...) - Method in class org.ddogleg.struct.DogArray_F32: Sees is the primitive array is equal to the values in this array
isEquals(int...) - Method in class org.ddogleg.struct.DogArray_B: Sees is the primitive array is equal to the values in this array
isEquals(int...) - Method in class org.ddogleg.struct.DogArray_I16
isEquals(int...) - Method in class org.ddogleg.struct.DogArray_I32: Sees is the primitive array is equal to the values in this array
isEquals(int...) - Method in class org.ddogleg.struct.DogArray_I8
isEquals(long...) - Method in class org.ddogleg.struct.DogArray_I64: Sees is the primitive array is equal to the values in this array
isEquals(short...) - Method in class org.ddogleg.struct.DogArray_I16: Sees is the primitive array is equal to the values in this array
isEquals(DogArray_B) - Method in class org.ddogleg.struct.DogArray_B
isEquals(DogArray_F32) - Method in class org.ddogleg.struct.DogArray_F32
isEquals(DogArray_F64) - Method in class org.ddogleg.struct.DogArray_F64
isEquals(DogArray_I16) - Method in class org.ddogleg.struct.DogArray_I16
isEquals(DogArray_I32) - Method in class org.ddogleg.struct.DogArray_I32
isEquals(DogArray_I64) - Method in class org.ddogleg.struct.DogArray_I64
isEquals(DogArray_I8) - Method in class org.ddogleg.struct.DogArray_I8
isFull() - Method in class org.ddogleg.struct.CircularArray_F32
isFull() - Method in class org.ddogleg.struct.CircularArray_F64
isFull() - Method in class org.ddogleg.struct.CircularArray_I32
isFull() - Method in class org.ddogleg.struct.CircularArray
isIdentical(Polynomial, double) - Method in class org.ddogleg.solver.Polynomial: Checks to see if the coefficients of two polynomials are identical to within tolerance.
isIndexOutOfBounds(int) - Method in class org.ddogleg.struct.BigDogArrayBase: Returns true if the specified array index is outside the allowed value range
isIndexOutOfBounds(int) - Method in interface org.ddogleg.struct.DogArrayPrimitive: Returns true if the specified array index is outside the allowed value range
isIndexOutOfBounds(int) - Method in class org.ddogleg.struct.FastAccess: Returns true if the specified array index is outside the allowed value range
isLeaf() - Method in class org.ddogleg.nn.alg.KdTree.Node
isStopRequested() - Method in interface org.ddogleg.struct.Stoppable: True if a request to stop has been sent.
isUnused(T) - Method in class org.ddogleg.struct.DogArray: Checks to see if the object is in the unused list.
isUpdated() - Method in interface org.ddogleg.optimization.IterativeOptimization: True if the parameter(s) being optimized have been updated
isUpdated() - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
isUpdated() - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
isUpdated() - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
isUpdated() - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94
isUpdated() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
isUpdated() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
isUpdated() - Method in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64
isUpdated() - Method in class org.ddogleg.optimization.wrap.QuasiNewtonBFGS_to_UnconstrainedMinimization
isUpdatedParameters() - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS
isUseConcurrent() - Static method in class org.ddogleg.DDoglegConcurrency
isValidStructure() - Method in class org.ddogleg.struct.BigDogArrayBase: Performs an internal check to make sure all data structures and values are internally consistent.
iterate() - Method in class org.ddogleg.optimization.GaussNewtonBase_F64: Performs one iteration
iterate() - Method in interface org.ddogleg.optimization.IterativeOptimization: Updates the search.
iterate() - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86: Updates the search.
iterate() - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94
iterate() - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS: Perform one iteration in the optimization.
iterate() - Method in class org.ddogleg.optimization.wrap.QuasiNewtonBFGS_to_UnconstrainedMinimization
iteration - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
IterativeOptimization - Interface in org.ddogleg.optimization: Interface for iterative optimization classes.
iterator() - Method in class org.ddogleg.struct.DogArrayList
iterator() - Method in class org.ddogleg.struct.FastArrayList

J

jacLeft - Variable in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
jacLeft - Variable in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
jacobian - Variable in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
jacobian(FunctionNtoM, FunctionNtoMxN<S>, double[], double) - Static method in class org.ddogleg.optimization.DerivativeChecker
jacobian(FunctionNtoM, FunctionNtoMxN<S>, double[], double, double) - Static method in class org.ddogleg.optimization.DerivativeChecker
jacobianForwards(FunctionNtoM, Class<D>) - Static method in class org.ddogleg.optimization.FactoryNumericalDerivative
jacobianPrint(FunctionNtoM, FunctionNtoMxN<S>, double[], double) - Static method in class org.ddogleg.optimization.DerivativeChecker
jacobianPrint(FunctionNtoM, FunctionNtoMxN<S>, double[], double, double) - Static method in class org.ddogleg.optimization.DerivativeChecker
jacobianPrintR(FunctionNtoM, FunctionNtoMxN<S>, double[], double) - Static method in class org.ddogleg.optimization.DerivativeChecker: Prints out the difference using a relative error threshold
jacobianPrintR(FunctionNtoM, FunctionNtoMxN<S>, double[], double, double) - Static method in class org.ddogleg.optimization.DerivativeChecker
jacobianR(FunctionNtoM, FunctionNtoMxN<S>, double[], double) - Static method in class org.ddogleg.optimization.DerivativeChecker: Checks the jacobian using a relative error threshold.
jacobianR(FunctionNtoM, FunctionNtoMxN<S>, double[], double, double) - Static method in class org.ddogleg.optimization.DerivativeChecker: Checks the jacobian using a relative error threshold.
jacRight - Variable in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
jacRight - Variable in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64

K

k - Variable in class org.ddogleg.combinatorics.Combinations
KD_TREE - Enum constant in enum class org.ddogleg.nn.ConfigNearestNeighborSearch.Type
KdForestBbfNearestNeighbor - Class in org.ddogleg.nn.wrap: K-D tree search which searches through multiple trees.
KdForestBbfNearestNeighbor(int, int, KdTreeDistance, AxisSplitter) - Constructor for class org.ddogleg.nn.wrap.KdForestBbfNearestNeighbor
kdRandomForest(KdTreeDistance, int, int, int, long) - Static method in class org.ddogleg.nn.FactoryNearestNeighbor: Approximate NearestNeighbor search which uses a set of randomly generated K-D trees and a Best-Bin-First search.
kdtree - Variable in class org.ddogleg.nn.ConfigNearestNeighborSearch: Configuration for ConfigNearestNeighborSearch.Type.KD_TREE
kdtree(KdTreeDistance) - Static method in class org.ddogleg.nn.FactoryNearestNeighbor: Performs an optimal NearestNeighbor search using K-D tree.
kdtree(KdTreeDistance, int) - Static method in class org.ddogleg.nn.FactoryNearestNeighbor: Performs an approximate NearestNeighbor search using K-D tree.
KdTree - Class in org.ddogleg.nn.alg: K-D Tree is short for k-dimensional tree and is a binary tree data structure used for quickly finding the nearest-neighbor of a k-dimensional point in a set.
KdTree() - Constructor for class org.ddogleg.nn.alg.KdTree
KdTree(int) - Constructor for class org.ddogleg.nn.alg.KdTree: Specifies the type of points it can process.
KDTree() - Constructor for class org.ddogleg.nn.ConfigNearestNeighborSearch.KDTree
KdTree.Node - Class in org.ddogleg.nn.alg: Data type for each node in the binary tree.
KdTreeConstructor - Class in org.ddogleg.nn.alg: Creates a new KD-Tree from a list of points and (optional) associated data.
KdTreeConstructor(KdTreeDistance) - Constructor for class org.ddogleg.nn.alg.KdTreeConstructor: Creates canonical K-D Tree by selecting the maximum variance axis and splitting the points at the median.
KdTreeConstructor(KdTreeMemory, AxisSplitter) - Constructor for class org.ddogleg.nn.alg.KdTreeConstructor: Constructor which allows for maximum configurable.
KdTreeDistance - Interface in org.ddogleg.nn.alg: Computes the distance between two points.
KdTreeEuclideanSq_F64 - Class in org.ddogleg.nn.alg.distance: Euclidian squared distance
KdTreeEuclideanSq_F64(int) - Constructor for class org.ddogleg.nn.alg.distance.KdTreeEuclideanSq_F64
KdTreeEuclideanSq_U8 - Class in org.ddogleg.nn.alg.distance: Euclidian squared distance
KdTreeEuclideanSq_U8(int) - Constructor for class org.ddogleg.nn.alg.distance.KdTreeEuclideanSq_U8
KdTreeInternalSearch - Class in org.ddogleg.nn.wrap
KdTreeMemory - Class in org.ddogleg.nn.alg: Memory management for recycling KdTree data structures.
KdTreeMemory() - Constructor for class org.ddogleg.nn.alg.KdTreeMemory
KdTreeNearestNeighbor - Class in org.ddogleg.nn.wrap: Wrapper around KdTree for NearestNeighbor
KdTreeNearestNeighbor(KdTreeDistance) - Constructor for class org.ddogleg.nn.wrap.KdTreeNearestNeighbor
KdTreeNearestNeighbor(KdTreeSearch1, KdTreeSearchN, AxisSplitter) - Constructor for class org.ddogleg.nn.wrap.KdTreeNearestNeighbor
KdTreeResult - Class in org.ddogleg.nn.alg: Storage for the results of a K-D Tree search.
KdTreeResult() - Constructor for class org.ddogleg.nn.alg.KdTreeResult
KdTreeSearch1 - Interface in org.ddogleg.nn.alg: Interface for searching a single tree for the nearest-neighbor
KdTreeSearch1Bbf - Class in org.ddogleg.nn.alg.searches: Implementation of KdTreeSearchBestBinFirst which searches for the single best nearest-neighbor.
KdTreeSearch1Bbf(KdTreeDistance, int) - Constructor for class org.ddogleg.nn.alg.searches.KdTreeSearch1Bbf: Configures the search
KdTreeSearch1Standard - Class in org.ddogleg.nn.alg.searches: Standard algorithm for searching a KdTree for the nearest-neighbor of a search.
KdTreeSearch1Standard(KdTreeDistance) - Constructor for class org.ddogleg.nn.alg.searches.KdTreeSearch1Standard
KdTreeSearchBestBinFirst - Class in org.ddogleg.nn.alg.searches: Approximate search for K-D Trees using the best-bin-first method [1] that supports multiple trees.
KdTreeSearchBestBinFirst(KdTreeDistance, int) - Constructor for class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst: Configures the search
KdTreeSearchBestBinFirst.Helper - Class in org.ddogleg.nn.alg.searches: Contains information on a node
KdTreeSearchN - Interface in org.ddogleg.nn.alg: Interface for searching a single tree for the N nearest-neighbors.
KdTreeSearchNBbf - Class in org.ddogleg.nn.alg.searches: Implementation of KdTreeSearchBestBinFirst which searches for the N nearest-neighbors.
KdTreeSearchNBbf(KdTreeDistance, int) - Constructor for class org.ddogleg.nn.alg.searches.KdTreeSearchNBbf: Configures the search
KdTreeSearchNStandard - Class in org.ddogleg.nn.alg.searches: Standard algorithm for searching a KdTree for the nearest-neighbor of a search.
KdTreeSearchNStandard(KdTreeDistance) - Constructor for class org.ddogleg.nn.alg.searches.KdTreeSearchNStandard
kMeans(ConfigKMeans, int, Class<T>) - Static method in class org.ddogleg.clustering.FactoryClustering: K-Means using a primitive array, e.g.
kMeans(ConfigKMeans, ComputeMeanClusters, PointDistance, DogLambdas.NewInstance) - Static method in class org.ddogleg.clustering.FactoryClustering: High level interface for creating k-means cluster.
kMeans_MT(ConfigKMeans, int, int, Class<T>) - Static method in class org.ddogleg.clustering.FactoryClustering
kMeans_MT(ConfigKMeans, int, ComputeMeanClusters, PointDistance, DogLambdas.NewInstance) - Static method in class org.ddogleg.clustering.FactoryClustering
KMeansInitializers - Enum Class in org.ddogleg.clustering: List of different initialization techniques for k-means

L

lambda - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Dampening parameter.
LArrayAccessor - Interface in org.ddogleg.struct: Provides access to the elements inside very large or small arrays.
last - Variable in class org.ddogleg.struct.DogLinkedList
lastIndexOf(Object) - Method in class org.ddogleg.struct.DogArrayList
lastIndexOf(Object) - Method in class org.ddogleg.struct.FastArrayList
LeastMedianOfSquares<Model,Point> - Class in org.ddogleg.fitting.modelset.lmeds: Another technique similar to RANSAC known as Least Median of Squares (LMedS).
LeastMedianOfSquares(long, int, double, double, ModelManager<Model>, Class<Point>) - Constructor for class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Configures the algorithm.
LeastMedianOfSquares(long, int, ModelManager<Model>, Class<Point>) - Constructor for class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Configures the algorithm.
LeastMedianOfSquares_MT<Model,Point> - Class in org.ddogleg.fitting.modelset.lmeds: Concurrent version of LeastMedianOfSquares
LeastMedianOfSquares_MT(long, int, double, double, ModelManager<Model>, Class<Point>) - Constructor for class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares_MT
LeastMedianOfSquares_MT(long, int, ModelManager<Model>, Class<Point>) - Constructor for class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares_MT
LeastMedianOfSquares.TrialHelper - Class in org.ddogleg.fitting.modelset.lmeds
left - Variable in class org.ddogleg.nn.alg.KdTree.Node: Branch ≤ point[split]
leftSide - Variable in class org.ddogleg.clustering.gmm.GaussianLikelihoodManager.Likelihood
length() - Method in class org.ddogleg.nn.alg.distance.KdTreeEuclideanSq_F64
length() - Method in class org.ddogleg.nn.alg.distance.KdTreeEuclideanSq_U8
length() - Method in interface org.ddogleg.nn.alg.KdTreeDistance: Number of elements in the point
levenbergMarquardt(ConfigLevenbergMarquardt) - Static method in class org.ddogleg.optimization.FactoryOptimizationSparse
levenbergMarquardt(ConfigLevenbergMarquardt, boolean) - Static method in class org.ddogleg.optimization.FactoryOptimization
LevenbergMarquardt_F64<S extends DMatrix,HM extends HessianMath> - Class in org.ddogleg.optimization.lm: Implementation of Levenberg-Marquardt non-linear least squares optimization.
LevenbergMarquardt_F64(MatrixMath<S>, HM) - Constructor for class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
levenbergMarquardtSchur(boolean, ConfigLevenbergMarquardt) - Static method in class org.ddogleg.optimization.FactoryOptimization: LM with Schur Complement
levenbergMarquardtSchur(ConfigLevenbergMarquardt) - Static method in class org.ddogleg.optimization.FactoryOptimizationSparse
likelihood(double[]) - Method in class org.ddogleg.clustering.gmm.GaussianLikelihoodManager.Likelihood: Computes p(x|mu,Sigma) where x is the point.
Likelihood(int) - Constructor for class org.ddogleg.clustering.gmm.GaussianLikelihoodManager.Likelihood
line_ftol - Variable in class org.ddogleg.optimization.quasinewton.ConfigQuasiNewton: Tolerance for sufficient decrease.
line_gtol - Variable in class org.ddogleg.optimization.quasinewton.ConfigQuasiNewton: Tolerance for curvature condition.
lineDerivative - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
lineSearch - Variable in class org.ddogleg.optimization.quasinewton.ConfigQuasiNewton: Specifies which line search algorithm to use
LineSearch - Interface in org.ddogleg.optimization: Line search for nonlinear optimization.
LineSearchFletcher86 - Class in org.ddogleg.optimization.quasinewton: Line search which meets the strong Wolfe line condition.
LineSearchFletcher86() - Constructor for class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
LineSearchFletcher86(double, double, double) - Constructor for class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
LineSearchFunction - Interface in org.ddogleg.optimization.functions
LineSearchMore94 - Class in org.ddogleg.optimization.quasinewton: Line search algorithm that provides a guaranteed sufficient decrease according to the Wolfe condition.
LineSearchMore94() - Constructor for class org.ddogleg.optimization.quasinewton.LineSearchMore94
list - Variable in class org.ddogleg.combinatorics.Permute
ListAccessor - Class in org.ddogleg.clustering.misc: Wrapper around List for LArrayAccessor.
ListAccessor(List, DogLambdas.Copy, Class) - Constructor for class org.ddogleg.clustering.misc.ListAccessor
listIterator() - Method in class org.ddogleg.struct.DogArrayList
listIterator() - Method in class org.ddogleg.struct.FastArrayList
listIterator(int) - Method in class org.ddogleg.struct.DogArrayList
listIterator(int) - Method in class org.ddogleg.struct.FastArrayList
lowerBound(byte[], int, int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Finds the first index in 'array' for which val is not ≤ val
lowerBound(double[], int, int, double) - Static method in class org.ddogleg.util.PrimitiveArrays: Finds the first index in 'array' for which val is not ≤ val
lowerBound(float[], int, int, float) - Static method in class org.ddogleg.util.PrimitiveArrays: Finds the first index in 'array' for which val is not ≤ val
lowerBound(int[], int, int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Finds the first index in 'array' for which val is not ≤ val
lowerBound(short[], int, int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Finds the first index in 'array' for which val is not ≤ val
lowerBoundU(byte[], int, int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Finds the first index in 'array' for which val is not ≤ val
LsToNonLinear - Class in org.ddogleg.optimization.wrap: Converts a least squares function into a nonlinear optimization function.
LsToNonLinear(FunctionNtoM) - Constructor for class org.ddogleg.optimization.wrap.LsToNonLinear
LsToNonLinearDeriv<S extends DMatrix> - Class in org.ddogleg.optimization.wrap: Convert the Jacobian of a least squares function into a nonlinear optimization gradient.
LsToNonLinearDeriv(FunctionNtoM, FunctionNtoMxN<S>) - Constructor for class org.ddogleg.optimization.wrap.LsToNonLinearDeriv

M

main(String[]) - Static method in class org.ddogleg.combinatorics.Permute
masterModelManager - Variable in class org.ddogleg.fitting.modelset.ransac.Ransac
matchPointsToClusters(LArrayAccessor, DogArray) - Method in class org.ddogleg.clustering.kmeans.StandardKMeans_MT: Finds the cluster which is the closest to each point.
matchPointsToClusters(LArrayAccessor, DogArray) - Method in class org.ddogleg.clustering.kmeans.StandardKMeans: Finds the cluster which is the closest to each point.
matchToInput - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
matchToInput - Variable in class org.ddogleg.fitting.modelset.ransac.Ransac.TrialHelper
matchToInput - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
math - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
math - Variable in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
MatrixMath<S extends DMatrix> - Interface in org.ddogleg.optimization.math: Operations on matrices that abstracts away the matrix type.
MatrixMath_DDRM - Class in org.ddogleg.optimization.math
MatrixMath_DDRM() - Constructor for class org.ddogleg.optimization.math.MatrixMath_DDRM
MatrixMath_DSCC - Class in org.ddogleg.optimization.math
MatrixMath_DSCC() - Constructor for class org.ddogleg.optimization.math.MatrixMath_DSCC
MAVEN_GROUP - Static variable in class org.ddogleg.DDoglegVersion
MAVEN_NAME - Static variable in class org.ddogleg.DDoglegVersion
max(byte[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the maximum value
max(double[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the maximum value
max(float[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the maximum value
max(int[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the maximum value
max(long[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the maximum value
max(short[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the maximum value
MAX_LAMBDA - Static variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Maximum allowed value of lambda
maxIdx(byte[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the maximum value
maxIdx(double[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the maximum value
maxIdx(float[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the maximum value
maxIdx(int[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the maximum value
maximization() - Method in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64: Using points responsibility information to recompute the Gaussians and their weights, maximizing the likelihood of the mixture.
maximumLambdaNu() - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: If the size of lambda or nu has grown so large it's reached a limit stop optimizing
maxIterations - Variable in class org.ddogleg.clustering.ConfigKMeans: Maximum number of iterations, across all seeds combined
maxIterations - Variable in class org.ddogleg.clustering.kmeans.StandardKMeans: maximum number of iterations
maxIterations - Variable in class org.ddogleg.fitting.modelset.ransac.Ransac
maxIterations - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
maxIterations - Variable in class org.ddogleg.optimization.ConvergeOptParam
maxMedianError - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
maxNodesSearched - Variable in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst
maxNodesSearched - Variable in class org.ddogleg.nn.ConfigNearestNeighborSearch.KDTree: Maximum number of nodes it will search.
maxNodesSearched - Variable in class org.ddogleg.nn.ConfigNearestNeighborSearch.RandomForest: Maximum number of nodes it will search.
maxReSeed - Variable in class org.ddogleg.clustering.ConfigKMeans: Maximum number of times it will reseed before stopping.
maxReSeed - Variable in class org.ddogleg.clustering.kmeans.StandardKMeans: max number of times it will re-seed
mean - Variable in class org.ddogleg.clustering.gmm.GaussianGmm_F64
mean(DogArray_F64) - Static method in class org.ddogleg.stats.StatisticsDogArray
MEAN - Enum constant in enum class org.ddogleg.fitting.modelset.distance.StatisticalDistance: Mean metric is used to evaluate goodness.
MeanArrayF64 - Class in org.ddogleg.clustering.misc: Computes the mean for points composed of double[]
MeanArrayF64(int) - Constructor for class org.ddogleg.clustering.misc.MeanArrayF64
min(byte[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the minimum value
min(double[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the minimum value
min(float[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the minimum value
min(int[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the minimum value
min(long[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the minimum value
min(short[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the value of the element with the minimum value
minIdx(byte[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the index of the element with the minimum value
minIdx(double[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the index of the element with the minimum value
minIdx(float[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the index of the element with the minimum value
minIdx(int[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Returns the index of the element with the minimum value
minimumFunctionValue - Variable in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
mixture - Variable in class org.ddogleg.clustering.gmm.AssignGmm_F64
mixture - Variable in class org.ddogleg.optimization.lm.ConfigLevenbergMarquardt: Used to switch between Levenberg's and Marquardt's forumula.
mode - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
mode() - Method in class org.ddogleg.optimization.GaussNewtonBase_F64
ModelCodec<T> - Interface in org.ddogleg.fitting.modelset: Used to convert a model to and from an array parameterized format.
modelDistance - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti.ObjectType: computes the distance a point is from the model
modelError - Variable in class org.ddogleg.fitting.modelset.distance.FitByMeanStatistics
ModelFitter<Model,Point> - Interface in org.ddogleg.fitting.modelset: Computes a model from a set of points and optionally an initial estimate.
modelGenerator - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti.ObjectType: generates an initial model given a set of points
ModelGenerator<Model,Point> - Interface in org.ddogleg.fitting.modelset: Given a set of points create a model hypothesis.
modelManager - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti.ObjectType: Used to create new models and copy models
ModelManager<Model> - Interface in org.ddogleg.fitting.modelset: Can be used to create new instances of a model and copy the value of one model into another
ModelManager - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
ModelManagerDefault<T> - Class in org.ddogleg.fitting.modelset: Default model manager.
ModelManagerDefault(Class) - Constructor for class org.ddogleg.fitting.modelset.ModelManagerDefault
ModelMatcher<Model,Point> - Interface in org.ddogleg.fitting.modelset: Given a set of points and it finds a set of model parameters which fit the data robustly.
ModelMatcherMulti<Point> - Interface in org.ddogleg.fitting.modelset: Given a set of points and a set of models, it selects which model and model parameters best fits the points robustly.
ModelMatcherPost<Model,Point> - Interface in org.ddogleg.fitting.modelset: Extension of ModelMatcher where the models are specified after construction.
MORE94 - Enum constant in enum class org.ddogleg.optimization.quasinewton.ConfigQuasiNewton.LineSearch: LineSearchMore94
mult(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DDRM
mult(DMatrixSparseCSC, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DSCC
mult(S, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
multiply(Polynomial, Polynomial, Polynomial) - Static method in class org.ddogleg.solver.PolynomialOps: Multiplies the two polynomials together.
MultivariateGaussianDraw - Class in org.ddogleg.rand: Draw a number from a multivariate Gaussian distribution.
MultivariateGaussianDraw(Random, DMatrixRMaj, DMatrixRMaj) - Constructor for class org.ddogleg.rand.MultivariateGaussianDraw: Creates a random distribution with the specified mean and covariance.
multTransA(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DDRM
multTransA(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.MatrixMath_DDRM
multTransA(DMatrixSparseCSC, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DSCC
multTransA(DMatrixSparseCSC, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.MatrixMath_DSCC
multTransA(DMatrixSparseCSC, DMatrixSparseCSC, DMatrixSparseCSC) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DSCC
multTransA(S, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
multTransA(S, DMatrixRMaj, DMatrixRMaj) - Method in interface org.ddogleg.optimization.math.MatrixMath
multTransA(S, S, S) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
MyIterator() - Constructor for class org.ddogleg.struct.DogArrayList.MyIterator
MyIterator() - Constructor for class org.ddogleg.struct.FastArrayList.MyIterator

N

N - Variable in class org.ddogleg.combinatorics.Combinations
N - Variable in class org.ddogleg.nn.alg.KdTree
N - Variable in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst
N - Variable in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
N - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
NearestNeighbor - Interface in org.ddogleg.nn: Abstract interface for finding the nearest neighbor to a user specified point inside of a set of points in K-dimensional space.
NearestNeighbor.Search - Interface in org.ddogleg.nn: An independent search instance.
newInstance() - Method in interface org.ddogleg.struct.DogLambdas.NewInstance
newInstance() - Method in interface org.ddogleg.struct.Factory
newInstanceThread() - Method in interface org.ddogleg.clustering.ComputeClusters: Creates a new instance which has the same configuration and can be run in parallel.
newInstanceThread() - Method in interface org.ddogleg.clustering.ComputeMeanClusters: Creates a new instance which has the same configuration and can be run in parallel.
newInstanceThread() - Method in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64
newInstanceThread() - Method in interface org.ddogleg.clustering.kmeans.InitializeKMeans: Creates a new instance which has the same configuration and can be run in parallel.
newInstanceThread() - Method in class org.ddogleg.clustering.kmeans.InitializePlusPlus_MT
newInstanceThread() - Method in class org.ddogleg.clustering.kmeans.InitializePlusPlus
newInstanceThread() - Method in class org.ddogleg.clustering.kmeans.InitializeStandard
newInstanceThread() - Method in class org.ddogleg.clustering.kmeans.StandardKMeans_MT
newInstanceThread() - Method in class org.ddogleg.clustering.kmeans.StandardKMeans
newInstanceThread() - Method in class org.ddogleg.clustering.misc.EuclideanSqArrayF64
newInstanceThread() - Method in class org.ddogleg.clustering.misc.MeanArrayF64
newInstanceThread() - Method in interface org.ddogleg.clustering.PointDistance: Creates a new instance which has the same configuration and can be run in parallel.
next - Variable in class org.ddogleg.solver.impl.SturmSequence
next - Variable in class org.ddogleg.struct.DogLinkedList.Element
next() - Method in class org.ddogleg.combinatorics.Combinations: This will shuffle the elements in and out of the bins.
next() - Method in class org.ddogleg.combinatorics.Permute: This will permute the list once
next() - Method in class org.ddogleg.struct.DogArrayList.MyIterator
next() - Method in class org.ddogleg.struct.FastArrayList.MyIterator
next(DMatrixRMaj) - Method in class org.ddogleg.rand.MultivariateGaussianDraw: Makes a draw on the distribution and stores the results in parameter 'x'
nextIndex() - Method in class org.ddogleg.struct.DogArrayList.MyIterator
nextIndex() - Method in class org.ddogleg.struct.FastArrayList.MyIterator
NnData - Class in org.ddogleg.nn: Results from a Nearest-Neighbor search.
NnData() - Constructor for class org.ddogleg.nn.NnData
node - Variable in class org.ddogleg.nn.alg.KdTreeResult
Node<N,E> - Class in org.ddogleg.graph
Node() - Constructor for class org.ddogleg.graph.Node
Node() - Constructor for class org.ddogleg.nn.alg.KdTree.Node
Node(double[]) - Constructor for class org.ddogleg.nn.alg.KdTree.Node
Node(double[], int) - Constructor for class org.ddogleg.nn.alg.KdTree.Node
normalize(double[]) - Static method in class org.ddogleg.util.UtilDouble
normalize(float[]) - Static method in class org.ddogleg.util.UtilDouble
nu - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
numConsiderSplit - Variable in class org.ddogleg.nn.ConfigNearestNeighborSearch.RandomForest: Number of nodes that are considered when generating a tree.
NumericalDerivativeFB - Class in org.ddogleg.optimization.derivative: Finite difference numerical derivative calculation using the forward+backwards equation.
NumericalDerivativeFB(FunctionStoS) - Constructor for class org.ddogleg.optimization.derivative.NumericalDerivativeFB
NumericalDerivativeFB(FunctionStoS, double) - Constructor for class org.ddogleg.optimization.derivative.NumericalDerivativeFB
NumericalDerivativeForward - Class in org.ddogleg.optimization.derivative: Finite difference numerical gradient calculation using forward equation.
NumericalDerivativeForward(FunctionStoS) - Constructor for class org.ddogleg.optimization.derivative.NumericalDerivativeForward
NumericalDerivativeForward(FunctionStoS, double) - Constructor for class org.ddogleg.optimization.derivative.NumericalDerivativeForward
NumericalGradientFB - Class in org.ddogleg.optimization.derivative: Finite difference numerical gradient calculation using the forward+backwards equation.
NumericalGradientFB(FunctionNtoS) - Constructor for class org.ddogleg.optimization.derivative.NumericalGradientFB
NumericalGradientFB(FunctionNtoS, double) - Constructor for class org.ddogleg.optimization.derivative.NumericalGradientFB
NumericalGradientForward - Class in org.ddogleg.optimization.derivative: Finite difference numerical gradient calculation using forward equation.
NumericalGradientForward(FunctionNtoS) - Constructor for class org.ddogleg.optimization.derivative.NumericalGradientForward
NumericalGradientForward(FunctionNtoS, double) - Constructor for class org.ddogleg.optimization.derivative.NumericalGradientForward
NumericalJacobianFB - Class in org.ddogleg.optimization.derivative: Finite difference numerical jacobian calculation using the forward+backwards equation.
NumericalJacobianFB(FunctionNtoM) - Constructor for class org.ddogleg.optimization.derivative.NumericalJacobianFB
NumericalJacobianFB(FunctionNtoM, double) - Constructor for class org.ddogleg.optimization.derivative.NumericalJacobianFB
NumericalJacobianForward_DDRM - Class in org.ddogleg.optimization.derivative: Finite difference numerical gradient calculation using forward equation.
NumericalJacobianForward_DDRM(FunctionNtoM) - Constructor for class org.ddogleg.optimization.derivative.NumericalJacobianForward_DDRM
NumericalJacobianForward_DDRM(FunctionNtoM, double) - Constructor for class org.ddogleg.optimization.derivative.NumericalJacobianForward_DDRM
NumericalJacobianForward_DSCC - Class in org.ddogleg.optimization.derivative: Finite difference numerical gradient calculation using forward equation.
NumericalJacobianForward_DSCC(FunctionNtoM) - Constructor for class org.ddogleg.optimization.derivative.NumericalJacobianForward_DSCC
NumericalJacobianForward_DSCC(FunctionNtoM, double) - Constructor for class org.ddogleg.optimization.derivative.NumericalJacobianForward_DSCC
numNodesSearched - Variable in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst
numTrees - Variable in class org.ddogleg.nn.ConfigNearestNeighborSearch.RandomForest: Number of trees that are considered.

O

object - Variable in class org.ddogleg.struct.DogLinkedList.Element
objectCandidateParam - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
objectParam - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
ObjectType() - Constructor for class org.ddogleg.fitting.modelset.ransac.RansacMulti.ObjectType
objectTypes - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
oldCenter - Variable in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
open - Variable in class org.ddogleg.nn.alg.KdTreeMemory
OptimizationDerivative<State> - Interface in org.ddogleg.optimization: Interface for computing the gradient of a set of functions given a set of model parameters.
OptimizationException - Exception in org.ddogleg.optimization: This message is thrown if something bad happens while optimizing that would be the results invalid
OptimizationException() - Constructor for exception org.ddogleg.optimization.OptimizationException
OptimizationException(String) - Constructor for exception org.ddogleg.optimization.OptimizationException
org.ddogleg - package org.ddogleg
org.ddogleg.clustering - package org.ddogleg.clustering
org.ddogleg.clustering.gmm - package org.ddogleg.clustering.gmm
org.ddogleg.clustering.kmeans - package org.ddogleg.clustering.kmeans
org.ddogleg.clustering.misc - package org.ddogleg.clustering.misc
org.ddogleg.combinatorics - package org.ddogleg.combinatorics
org.ddogleg.fitting.modelset - package org.ddogleg.fitting.modelset
org.ddogleg.fitting.modelset.distance - package org.ddogleg.fitting.modelset.distance
org.ddogleg.fitting.modelset.lmeds - package org.ddogleg.fitting.modelset.lmeds
org.ddogleg.fitting.modelset.ransac - package org.ddogleg.fitting.modelset.ransac
org.ddogleg.graph - package org.ddogleg.graph
org.ddogleg.nn - package org.ddogleg.nn
org.ddogleg.nn.alg - package org.ddogleg.nn.alg
org.ddogleg.nn.alg.distance - package org.ddogleg.nn.alg.distance
org.ddogleg.nn.alg.searches - package org.ddogleg.nn.alg.searches
org.ddogleg.nn.wrap - package org.ddogleg.nn.wrap
org.ddogleg.optimization - package org.ddogleg.optimization
org.ddogleg.optimization.derivative - package org.ddogleg.optimization.derivative
org.ddogleg.optimization.functions - package org.ddogleg.optimization.functions
org.ddogleg.optimization.lm - package org.ddogleg.optimization.lm
org.ddogleg.optimization.math - package org.ddogleg.optimization.math
org.ddogleg.optimization.quasinewton - package org.ddogleg.optimization.quasinewton
org.ddogleg.optimization.trustregion - package org.ddogleg.optimization.trustregion
org.ddogleg.optimization.wrap - package org.ddogleg.optimization.wrap
org.ddogleg.rand - package org.ddogleg.rand
org.ddogleg.solver - package org.ddogleg.solver
org.ddogleg.solver.impl - package org.ddogleg.solver.impl
org.ddogleg.sorting - package org.ddogleg.sorting
org.ddogleg.stats - package org.ddogleg.stats
org.ddogleg.struct - package org.ddogleg.struct
org.ddogleg.util - package org.ddogleg.util
owner - Variable in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64

P

p - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
param - Variable in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
parameterUpdate - Variable in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64
parseHex(String) - Static method in class org.ddogleg.struct.DogArray_I16
parseHex(String) - Static method in class org.ddogleg.struct.DogArray_I32
parseHex(String) - Static method in class org.ddogleg.struct.DogArray_I8
PERCENTILE - Enum constant in enum class org.ddogleg.fitting.modelset.distance.StatisticalDistance: Median is used to evaluate goodness.
Permute<T> - Class in org.ddogleg.combinatorics: Exhaustively computes all the permutations of a set, without recursion.
Permute(List<T>) - Constructor for class org.ddogleg.combinatorics.Permute: Permute the elements in the list provided
PLUS_PLUS - Enum constant in enum class org.ddogleg.clustering.KMeansInitializers: See InitializePlusPlus.
point - Variable in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64.PointInfo
point - Variable in class org.ddogleg.nn.alg.KdTree.Node: The node's point.
point - Variable in class org.ddogleg.nn.NnData
PointDistance - Interface in org.ddogleg.clustering: Computes the distance between two points.
PointIndex<Point> - Class in org.ddogleg.fitting.modelset.distance: Contains a reference to a point and the original index of the point
PointIndex(Point, int) - Constructor for class org.ddogleg.fitting.modelset.distance.PointIndex
PointInfo(int) - Constructor for class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64.PointInfo
Polynomial - Class in org.ddogleg.solver: Data structure for storing polynomials.
Polynomial(int) - Constructor for class org.ddogleg.solver.Polynomial: Creates a polynomial which can hold the specified number of coefficients.
Polynomial(Polynomial) - Constructor for class org.ddogleg.solver.Polynomial
PolynomialOps - Class in org.ddogleg.solver
PolynomialOps() - Constructor for class org.ddogleg.solver.PolynomialOps
PolynomialRoots - Interface in org.ddogleg.solver: Interface for finding the roots of a polynomial.
polynomialRootsEVD(double...) - Static method in class org.ddogleg.solver.PolynomialSolver: Finds real and imaginary roots in a polynomial using the companion matrix and Eigenvalue decomposition.
PolynomialSolver - Class in org.ddogleg.solver: Provides functions for finding the roots of polynomials
PolynomialSolver() - Constructor for class org.ddogleg.solver.PolynomialSolver
pop() - Method in class org.ddogleg.struct.DogArray_B
pop() - Method in class org.ddogleg.struct.DogArray_F32
pop() - Method in class org.ddogleg.struct.DogArray_F64
pop() - Method in class org.ddogleg.struct.DogArray_I16
pop() - Method in class org.ddogleg.struct.DogArray_I32
pop() - Method in class org.ddogleg.struct.DogArray_I64
pop() - Method in class org.ddogleg.struct.DogArray_I8
popHead() - Method in class org.ddogleg.struct.CircularArray_F32: Returns and removes the first element from the queue.
popHead() - Method in class org.ddogleg.struct.CircularArray_F64: Returns and removes the first element from the queue.
popHead() - Method in class org.ddogleg.struct.CircularArray_I32: Returns and removes the first element from the queue.
popHead() - Method in class org.ddogleg.struct.CircularArray: Returns and removes the first element from the queue.
popTail() - Method in class org.ddogleg.struct.CircularArray_F32: Returns and removes the last element from the queue.
popTail() - Method in class org.ddogleg.struct.CircularArray_F64: Returns and removes the last element from the queue.
popTail() - Method in class org.ddogleg.struct.CircularArray_I32: Returns and removes the last element from the queue.
popTail() - Method in class org.ddogleg.struct.CircularArray: Returns and removes the last element from the queue.
positiveDefinite - Variable in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
precomputeAll() - Method in class org.ddogleg.clustering.gmm.GaussianLikelihoodManager: Precomputes likelihood for all the mixtures
prev - Variable in class org.ddogleg.struct.DogLinkedList.Element
previous - Variable in class org.ddogleg.solver.impl.SturmSequence
previous() - Method in class org.ddogleg.combinatorics.Combinations: Undoes the previous combination computed by Combinations.next().
previous() - Method in class org.ddogleg.combinatorics.Permute: This will undo a permutation.
previous() - Method in class org.ddogleg.struct.DogArrayList.MyIterator
previous() - Method in class org.ddogleg.struct.FastArrayList.MyIterator
previousIndex() - Method in class org.ddogleg.struct.DogArrayList.MyIterator
previousIndex() - Method in class org.ddogleg.struct.FastArrayList.MyIterator
PrimitiveArrays - Class in org.ddogleg.util: Various functions for manipulating primitive arrays
PrimitiveArrays() - Constructor for class org.ddogleg.util.PrimitiveArrays
PrimitiveArrays.FeedbackIdxD - Interface in org.ddogleg.util
print() - Method in class org.ddogleg.solver.Polynomial
print(double[], String) - Static method in class org.ddogleg.util.UtilDouble
print(float[], String) - Static method in class org.ddogleg.util.UtilDouble
printHex() - Method in class org.ddogleg.struct.DogArray_I16: Prints the queue to stdout as a hex array
printHex() - Method in class org.ddogleg.struct.DogArray_I8: Prints the queue to stdout as a hex array
process() - Method in class org.ddogleg.solver.FitQuadratic2D
process() - Method in class org.ddogleg.solver.FitQuadratic3by3: Computes the maximum.
process(boolean) - Method in interface org.ddogleg.struct.DogArray_B.FunctionEach
process(byte) - Method in interface org.ddogleg.struct.DogArray_I8.FunctionEach
process(double) - Method in class org.ddogleg.optimization.derivative.NumericalDerivativeFB
process(double) - Method in class org.ddogleg.optimization.derivative.NumericalDerivativeForward
process(double) - Method in interface org.ddogleg.optimization.functions.FunctionStoS: Processes the input to compute an output.
process(double) - Method in interface org.ddogleg.struct.DogArray_F64.FunctionEach
process(double[]) - Method in interface org.ddogleg.optimization.functions.FunctionNtoS: Computes the output given an array of inputs.
process(double[]) - Method in class org.ddogleg.optimization.wrap.LsToNonLinear
process(double[], double[]) - Method in class org.ddogleg.optimization.derivative.NumericalGradientFB
process(double[], double[]) - Method in class org.ddogleg.optimization.derivative.NumericalGradientForward
process(double[], double[]) - Method in interface org.ddogleg.optimization.functions.FunctionNtoM: Processes the input to compute the values found in the output array.
process(double[], double[]) - Method in interface org.ddogleg.optimization.functions.FunctionNtoN: Processes the function.
process(double[], double[]) - Method in class org.ddogleg.optimization.wrap.LsToNonLinearDeriv
process(double[], DMatrixRMaj) - Method in class org.ddogleg.optimization.derivative.NumericalJacobianFB
process(double[], DMatrixRMaj) - Method in class org.ddogleg.optimization.derivative.NumericalJacobianForward_DDRM
process(double[], DMatrixRMaj) - Method in class org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN.DDRM
process(double[], DMatrixSparseCSC) - Method in class org.ddogleg.optimization.derivative.NumericalJacobianForward_DSCC
process(double[], DMatrixSparseCSC) - Method in class org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN.DSCC
process(double[], S) - Method in interface org.ddogleg.optimization.functions.FunctionNtoMxN: Processes the input vector to output a 2D a matrix.
process(double[], S, S) - Method in interface org.ddogleg.optimization.functions.SchurJacobian: Processes the input vector to outputs two matrices.
process(float) - Method in interface org.ddogleg.struct.DogArray_F32.FunctionEach
process(int) - Method in interface org.ddogleg.struct.DogArray_I32.FunctionEach
process(int, boolean) - Method in interface org.ddogleg.struct.DogArray_B.FunctionApplyIdx
process(int, boolean) - Method in interface org.ddogleg.struct.DogArray_B.FunctionEachIdx
process(int, byte) - Method in interface org.ddogleg.struct.DogArray_I8.FunctionApplyIdx
process(int, byte) - Method in interface org.ddogleg.struct.DogArray_I8.FunctionEachIdx
process(int, double) - Method in interface org.ddogleg.struct.DogArray_F64.FunctionApplyIdx
process(int, double) - Method in interface org.ddogleg.struct.DogArray_F64.FunctionEachIdx
process(int, double, double) - Method in interface org.ddogleg.util.PrimitiveArrays.FeedbackIdxD
process(int, float) - Method in interface org.ddogleg.struct.DogArray_F32.FunctionApplyIdx
process(int, float) - Method in interface org.ddogleg.struct.DogArray_F32.FunctionEachIdx
process(int, int) - Method in interface org.ddogleg.struct.DogArray_I32.FunctionApplyIdx
process(int, int) - Method in interface org.ddogleg.struct.DogArray_I32.FunctionEachIdx
process(int, int, double...) - Method in class org.ddogleg.solver.FitQuadratic1D: Computes polynomial coefficients for the given data.
process(int, long) - Method in interface org.ddogleg.struct.DogArray_I64.FunctionApplyIdx
process(int, long) - Method in interface org.ddogleg.struct.DogArray_I64.FunctionEachIdx
process(int, short) - Method in interface org.ddogleg.struct.DogArray_I16.FunctionApplyIdx
process(int, short) - Method in interface org.ddogleg.struct.DogArray_I16.FunctionEachIdx
process(int, T) - Method in class org.ddogleg.struct.DProcessIdx.DoNothing
process(int, T) - Method in interface org.ddogleg.struct.DProcessIdx
process(int, T) - Method in interface org.ddogleg.struct.FastAccess.FunctionEachIdx
process(long) - Method in interface org.ddogleg.struct.DogArray_I64.FunctionEach
process(short) - Method in interface org.ddogleg.struct.DogArray_I16.FunctionEach
process(Array, int, int, int) - Method in interface org.ddogleg.struct.BigDogArrayBase.FunctionEachRange: Passes in internal blocks to be processed in chunks
process(List<Point>) - Method in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
process(List<Point>) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares_MT
process(List<Point>) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
process(List<Point>) - Method in interface org.ddogleg.fitting.modelset.ModelMatcher: Finds a set of points from the provided list that are a good fit for the internal model and computes the fit parameters for the model.
process(List<Point>) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac_MT
process(List<Point>) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
process(List<Point>) - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti: Finds a set of points from the provided list that are a good fit for the internal model and computes the fit parameters for the model.
process(IterativeOptimization, int) - Static method in class org.ddogleg.optimization.UtilOptimize: Iterate until the line search converges or the maximum number of iterations has been exceeded.
process(Polynomial) - Method in class org.ddogleg.solver.impl.FindRealRootsSturm: Find real roots for the specified polynomial.
process(Polynomial) - Method in class org.ddogleg.solver.impl.RootFinderCompanion
process(Polynomial) - Method in class org.ddogleg.solver.impl.WrapRealRootsSturm
process(Polynomial) - Method in interface org.ddogleg.solver.PolynomialRoots: Finds the roots of the provided polynomial.
process(LArrayAccessor<double[]>, int) - Method in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64
process(LArrayAccessor<double[]>, DogArray_I32, FastAccess<double[]>) - Method in class org.ddogleg.clustering.misc.MeanArrayF64
process(LArrayAccessor, int) - Method in interface org.ddogleg.clustering.ComputeClusters: Computes a set of clusters which segment the points into numCluster sets.
process(LArrayAccessor, int) - Method in class org.ddogleg.clustering.kmeans.StandardKMeans
process(LArrayAccessor, DogArray_I32, FastAccess) - Method in interface org.ddogleg.clustering.ComputeMeanClusters: Updates cluster means
process(T) - Method in class org.ddogleg.struct.DProcess.DoNothing
process(T) - Method in interface org.ddogleg.struct.DProcess
process(T) - Method in interface org.ddogleg.struct.FastAccess.FunctionEach
process(T) - Method in interface org.ddogleg.struct.FastAccess.FunctionMatches
processByBlock(int, int, BigDogArrayBase.FunctionEachRange<Array>) - Method in class org.ddogleg.struct.BigDogArrayBase: Passes in array elements to the operator one block at a time.
prune() - Method in class org.ddogleg.fitting.modelset.distance.FitByMeanStatistics
prune() - Method in class org.ddogleg.fitting.modelset.distance.FitByMedianStatistics: Removes all samples which have an error larger than the specified percentile error.
prune() - Method in interface org.ddogleg.fitting.modelset.distance.StatisticalFit: Prunes points based on the error and the computed statistics.
push(boolean) - Method in class org.ddogleg.struct.DogArray_B
push(double) - Method in class org.ddogleg.struct.DogArray_F64
push(float) - Method in class org.ddogleg.struct.DogArray_F32
push(int) - Method in class org.ddogleg.struct.DogArray_I16
push(int) - Method in class org.ddogleg.struct.DogArray_I32
push(int) - Method in class org.ddogleg.struct.DogArray_I8
push(long) - Method in class org.ddogleg.struct.DogArray_I64
pushHead(T) - Method in class org.ddogleg.struct.DogLinkedList: Adds the element to the front of the list.
pushTail(T) - Method in class org.ddogleg.struct.DogLinkedList: Adds the element to the back of the list.

Q

quadratic(double, double, double, double, double) - Static method in class org.ddogleg.optimization.quasinewton.SearchInterpolate: Quadratic interpolation using two function values and one derivative.
quadratic2(double, double, double, double) - Static method in class org.ddogleg.optimization.quasinewton.SearchInterpolate: Quadratic interpolation using two derivatives.
quadraticVertex(double, double) - Static method in class org.ddogleg.solver.PolynomialOps: Given the coefficients compute the vertex (minimum/maximum) of the quadratic.
quasiNewtonBfgs(ConfigQuasiNewton) - Static method in class org.ddogleg.optimization.FactoryOptimization: Returns an implementation of QuasiNewtonBFGS with LineSearchMore94 for the internal line search.
QuasiNewtonBFGS - Class in org.ddogleg.optimization.quasinewton: Quasi-Newton nonlinear optimization using BFGS update on the approximate inverse Hessian with a line search.
QuasiNewtonBFGS(LineSearch) - Constructor for class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS: Configures the search.
QuasiNewtonBFGS_to_UnconstrainedMinimization - Class in org.ddogleg.optimization.wrap: Wrapper around QuasiNewtonBFGS for UnconstrainedMinimization.
QuasiNewtonBFGS_to_UnconstrainedMinimization(QuasiNewtonBFGS) - Constructor for class org.ddogleg.optimization.wrap.QuasiNewtonBFGS_to_UnconstrainedMinimization
queueSize() - Method in class org.ddogleg.struct.CircularArray_F32
queueSize() - Method in class org.ddogleg.struct.CircularArray_F64
QuickSelect - Class in org.ddogleg.sorting: QuickSelect searches for the k-th largest item in the list.
QuickSelect() - Constructor for class org.ddogleg.sorting.QuickSelect
QuickSort_F32 - Class in org.ddogleg.sorting: An implementation of the quick sort algorithm from Numerical Recipes Third Edition that is specified for arrays of floats.
QuickSort_F32() - Constructor for class org.ddogleg.sorting.QuickSort_F32
QuickSort_F32(int, int) - Constructor for class org.ddogleg.sorting.QuickSort_F32
QuickSort_F64 - Class in org.ddogleg.sorting: An implementation of the quick sort algorithm from Numerical Recipes Third Edition that is specified for arrays of doubles.
QuickSort_F64() - Constructor for class org.ddogleg.sorting.QuickSort_F64
QuickSort_F64(int, int) - Constructor for class org.ddogleg.sorting.QuickSort_F64
QuickSort_S32 - Class in org.ddogleg.sorting: An implementation of the quick sort algorithm from Numerical Recipes Third Edition that is specified for arrays of doubles.
QuickSort_S32() - Constructor for class org.ddogleg.sorting.QuickSort_S32
QuickSort_S32(int, int) - Constructor for class org.ddogleg.sorting.QuickSort_S32
QuickSortComparable<T extends Comparable<T>> - Class in org.ddogleg.sorting: An implementation of the quick sort algorithm from Numerical Recipes Third Edition that is specified for arrays of floats.
QuickSortComparable() - Constructor for class org.ddogleg.sorting.QuickSortComparable
QuickSortComparable(int, int) - Constructor for class org.ddogleg.sorting.QuickSortComparable
QuickSortComparator<T> - Class in org.ddogleg.sorting: An implementation of the quick sort algorithm from Numerical Recipes Third Edition that is specified for arrays of floats.
QuickSortComparator(int, int, Comparator<T>) - Constructor for class org.ddogleg.sorting.QuickSortComparator
QuickSortComparator(Comparator<T>) - Constructor for class org.ddogleg.sorting.QuickSortComparator
QuickSortObj_F32 - Class in org.ddogleg.sorting: An implementation of the quick sort algorithm from Numerical Recipes Third Edition that is specified for arrays of floats.
QuickSortObj_F32() - Constructor for class org.ddogleg.sorting.QuickSortObj_F32
QuickSortObj_F32(int, int) - Constructor for class org.ddogleg.sorting.QuickSortObj_F32
QuickSortObj_F64 - Class in org.ddogleg.sorting: An implementation of the quick sort algorithm from Numerical Recipes Third Edition that is specified for arrays of floats.
QuickSortObj_F64() - Constructor for class org.ddogleg.sorting.QuickSortObj_F64
QuickSortObj_F64(int, int) - Constructor for class org.ddogleg.sorting.QuickSortObj_F64

R

rand - Variable in class org.ddogleg.clustering.kmeans.InitializeStandard
rand - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
RANDOM_FOREST - Enum constant in enum class org.ddogleg.nn.ConfigNearestNeighborSearch.Type
randomDraw(List<T>, int, List<T>, Random) - Static method in class org.ddogleg.fitting.modelset.ransac.Ransac: Performs a random draw in the dataSet.
randomDraw(DogArray_I32, int, int, Random) - Static method in class org.ddogleg.fitting.modelset.ransac.Ransac: Randomly selects a set of points in indexes.
randomForest - Variable in class org.ddogleg.nn.ConfigNearestNeighborSearch: Configuration for ConfigNearestNeighborSearch.Type.RANDOM_FOREST
RandomForest() - Constructor for class org.ddogleg.nn.ConfigNearestNeighborSearch.RandomForest
randomSeed - Variable in class org.ddogleg.nn.ConfigNearestNeighborSearch: Seed used by random number generator
randSeed - Variable in class org.ddogleg.fitting.modelset.ransac.Ransac
randSeed - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
range(int, int) - Static method in class org.ddogleg.struct.DogArray_F32: Returns a new array with values containing range of integer numbers from idx0 to idx1-1.
range(int, int) - Static method in class org.ddogleg.struct.DogArray_F64: Returns a new array with values containing range of integer numbers from idx0 to idx1-1.
range(int, int) - Static method in class org.ddogleg.struct.DogArray_I16: Returns a new array with values containing range of integer numbers from idx0 to idx1-1.
range(int, int) - Static method in class org.ddogleg.struct.DogArray_I32: Returns a new array with values containing range of integer numbers from idx0 to idx1-1.
range(int, int) - Static method in class org.ddogleg.struct.DogArray_I64: Returns a new array with values containing range of integer numbers from idx0 to idx1-1.
range(int, int) - Static method in class org.ddogleg.struct.DogArray_I8: Returns a new array with values containing range of integer numbers from idx0 to idx1-1.
Ransac<Model,Point> - Class in org.ddogleg.fitting.modelset.ransac: RANSAC is an abbreviation for "RANdom SAmple Consensus" and is an iterative algorithm.
Ransac(long, int, double, ModelManager<Model>, Class<Point>) - Constructor for class org.ddogleg.fitting.modelset.ransac.Ransac: Creates a new instance of the ransac algorithm.
Ransac_MT<Model,Point> - Class in org.ddogleg.fitting.modelset.ransac: Concurrent implementation of Ransac.
Ransac_MT(long, int, double, ModelManager<Model>, Class<Point>) - Constructor for class org.ddogleg.fitting.modelset.ransac.Ransac_MT
Ransac.InitializeModels<Model,Point> - Interface in org.ddogleg.fitting.modelset.ransac
Ransac.TrialHelper - Class in org.ddogleg.fitting.modelset.ransac
RansacMulti<Point> - Class in org.ddogleg.fitting.modelset.ransac: Modification of RANSAC that finds the best fit model and model parameters to a set of data.
RansacMulti(long, int, List<RansacMulti.ObjectType>, Class<Point>) - Constructor for class org.ddogleg.fitting.modelset.ransac.RansacMulti: Creates a new instance of the ransac algorithm.
RansacMulti.ObjectType<Model,Point> - Class in org.ddogleg.fitting.modelset.ransac: Describes a model and RANSAC fit parameters for specific type of object.
recycle(KdTree.Node) - Method in class org.ddogleg.nn.alg.KdTreeMemory
recycleAll() - Method in class org.ddogleg.struct.RecycleManagerL: Puts all elements in used into unused and clears the used list
recycleEdge(Edge<N, E>) - Method in class org.ddogleg.graph.GraphDataManager
recycleGraph(KdTree) - Method in class org.ddogleg.nn.alg.KdTreeMemory
recycleInstance(T) - Method in class org.ddogleg.struct.RecycleManager: Call when an instance is no longer needed and can be recycled
recycleInstance(T) - Method in class org.ddogleg.struct.RecycleManagerL
RecycleManager<T> - Class in org.ddogleg.struct: Simple class which helps minimize declaring new objects by helping you recycle them.
RecycleManager(Class<T>) - Constructor for class org.ddogleg.struct.RecycleManager
RecycleManagerL<T> - Class in org.ddogleg.struct: RecycleManager which maintains a used list.
RecycleManagerL(Class<T>) - Constructor for class org.ddogleg.struct.RecycleManagerL
recycleNode(Node<N, E>) - Method in class org.ddogleg.graph.GraphDataManager
refineRoot(Polynomial, double, int) - Static method in class org.ddogleg.solver.PolynomialOps
regionInitial - Variable in class org.ddogleg.optimization.trustregion.ConfigTrustRegion: Initial size of the trust region.
regionMaximum - Variable in class org.ddogleg.optimization.trustregion.ConfigTrustRegion: Trust Region's maximum size
remove() - Method in class org.ddogleg.struct.DogArrayList.MyIterator
remove() - Method in class org.ddogleg.struct.FastArrayList.MyIterator
remove(int) - Method in class org.ddogleg.struct.DogArray_B
remove(int) - Method in class org.ddogleg.struct.DogArray_F32
remove(int) - Method in class org.ddogleg.struct.DogArray_F64
remove(int) - Method in class org.ddogleg.struct.DogArray_I16
remove(int) - Method in class org.ddogleg.struct.DogArray_I32
remove(int) - Method in class org.ddogleg.struct.DogArray_I64
remove(int) - Method in class org.ddogleg.struct.DogArray_I8
remove(int) - Method in class org.ddogleg.struct.DogArray: Removes an element from the array and preserves the order of all elements.
remove(int) - Method in class org.ddogleg.struct.DogArrayList
remove(int) - Method in class org.ddogleg.struct.FastAccess: Removes an element from the queue and preserves the order of all elements.
remove(int) - Method in class org.ddogleg.struct.FastArray
remove(int) - Method in class org.ddogleg.struct.FastArrayList
remove(int[], int, int, List<T>) - Method in class org.ddogleg.struct.DogArray: Removes the indexes from the array.
remove(int, int) - Method in class org.ddogleg.struct.DogArray_B: Removes elements from the list starting at 'first' and ending at 'last'
remove(int, int) - Method in class org.ddogleg.struct.DogArray_F32: Removes elements from the list starting at 'first' and ending at 'last'
remove(int, int) - Method in class org.ddogleg.struct.DogArray_F64: Removes elements from the list starting at 'first' and ending at 'last'
remove(int, int) - Method in class org.ddogleg.struct.DogArray_I16: Removes elements from the list starting at 'first' and ending at 'last'
remove(int, int) - Method in class org.ddogleg.struct.DogArray_I32: Removes elements from the list starting at 'first' and ending at 'last'
remove(int, int) - Method in class org.ddogleg.struct.DogArray_I64: Removes elements from the list starting at 'first' and ending at 'last'
remove(int, int) - Method in class org.ddogleg.struct.DogArray_I8: Removes elements from the list starting at 'first' and ending at 'last'
remove(Object) - Method in class org.ddogleg.struct.DogArrayList
remove(Object) - Method in class org.ddogleg.struct.FastArrayList
remove(DogLinkedList.Element<T>) - Method in class org.ddogleg.struct.DogLinkedList: Removes the element from the list and saves the element data structure for later reuse.
remove(T) - Method in class org.ddogleg.struct.DogArray: Searches for and removes the 'target' from the list.
remove(T) - Method in class org.ddogleg.struct.FastArray: Searches for the object and removes it if it's contained in the list.
removeAll(Collection<?>) - Method in class org.ddogleg.struct.DogArrayList
removeAll(Collection<?>) - Method in class org.ddogleg.struct.FastArrayList
removeHead() - Method in class org.ddogleg.struct.CircularArray_F32: Removes the first element
removeHead() - Method in class org.ddogleg.struct.CircularArray_F64: Removes the first element
removeHead() - Method in class org.ddogleg.struct.CircularArray_I32: Removes the first element
removeHead() - Method in class org.ddogleg.struct.CircularArray: Removes the first element
removeHead() - Method in class org.ddogleg.struct.DogLinkedList: Removes the first element from the list
removeSwap(int) - Method in class org.ddogleg.struct.BigDogArray_B
removeSwap(int) - Method in class org.ddogleg.struct.BigDogArray_F32
removeSwap(int) - Method in class org.ddogleg.struct.BigDogArray_F64
removeSwap(int) - Method in class org.ddogleg.struct.BigDogArray_I32
removeSwap(int) - Method in class org.ddogleg.struct.BigDogArray_I64
removeSwap(int) - Method in class org.ddogleg.struct.BigDogArray_I8
removeSwap(int) - Method in class org.ddogleg.struct.BigDogArray: Removes an element in O(1) time by swapping the specified index with the last index and resizing to size -1.
removeSwap(int) - Method in class org.ddogleg.struct.BigDogArrayBase: Removes an element in O(1) time by swapping the specified index with the last index and resizing to size -1.
removeSwap(int) - Method in class org.ddogleg.struct.DogArray_B: Removes the specified index from the array by swapping it with last element.
removeSwap(int) - Method in class org.ddogleg.struct.DogArray_F32: Removes the specified index from the array by swapping it with last element.
removeSwap(int) - Method in class org.ddogleg.struct.DogArray_F64: Removes the specified index from the array by swapping it with last element.
removeSwap(int) - Method in class org.ddogleg.struct.DogArray_I16: Removes the specified index from the array by swapping it with last element.
removeSwap(int) - Method in class org.ddogleg.struct.DogArray_I32: Removes the specified index from the array by swapping it with last element.
removeSwap(int) - Method in class org.ddogleg.struct.DogArray_I64: Removes the specified index from the array by swapping it with last element.
removeSwap(int) - Method in class org.ddogleg.struct.DogArray_I8: Removes the specified index from the array by swapping it with last element.
removeSwap(int) - Method in class org.ddogleg.struct.DogArray: Removes the specified index from the array by swapping it with last element.
removeSwap(int) - Method in class org.ddogleg.struct.FastAccess: Removes the specified index from the array by swapping it with last element.
removeSwap(int) - Method in class org.ddogleg.struct.FastArray
removeTail() - Method in class org.ddogleg.struct.BigDogArrayBase: Shrinks the array by one
removeTail() - Method in class org.ddogleg.struct.CircularArray_F32: Removes the last element
removeTail() - Method in class org.ddogleg.struct.CircularArray_F64: Removes the last element
removeTail() - Method in class org.ddogleg.struct.CircularArray_I32: Removes the last element
removeTail() - Method in class org.ddogleg.struct.CircularArray: Removes the last element
removeTail() - Method in class org.ddogleg.struct.DogArray_B
removeTail() - Method in class org.ddogleg.struct.DogArray_F32
removeTail() - Method in class org.ddogleg.struct.DogArray_F64
removeTail() - Method in class org.ddogleg.struct.DogArray_I16
removeTail() - Method in class org.ddogleg.struct.DogArray_I32
removeTail() - Method in class org.ddogleg.struct.DogArray_I64
removeTail() - Method in class org.ddogleg.struct.DogArray_I8
removeTail() - Method in class org.ddogleg.struct.DogArray: Shrinks the size of the array by one and returns the element stored at the former last element.
removeTail() - Method in class org.ddogleg.struct.DogLinkedList: Removes the last element from the list
removeTail() - Method in class org.ddogleg.struct.FastArray
requestInstance() - Method in class org.ddogleg.struct.RecycleManager: Either returns a recycled instance or a new one.
requestInstance() - Method in class org.ddogleg.struct.RecycleManagerL
requestNew() - Method in class org.ddogleg.struct.DogLinkedList: Returns a new element.
requestNode() - Method in class org.ddogleg.nn.alg.KdTreeMemory: Returns a new node.
requestNode(P, int) - Method in class org.ddogleg.nn.alg.KdTreeMemory: Request a leaf node be returned.
requestStop() - Method in interface org.ddogleg.struct.Stoppable: Invoke to request that the process stop running.
requestTree(int) - Method in class org.ddogleg.nn.alg.KdTreeMemory
reseedAfterIterations - Variable in class org.ddogleg.clustering.ConfigKMeans: If it doesn't converge within this many iterations a new seed is created
reseedAfterIterations - Variable in class org.ddogleg.clustering.kmeans.StandardKMeans: max iterations before it will reseed
reserve(int) - Method in class org.ddogleg.struct.BigDogArray: Modify reserve so that it doesn't discard the already allocated objects
reserve(int) - Method in class org.ddogleg.struct.BigDogArrayBase: Ensures that the internal data can store up to this number of elements before needing to allocate more memory.
reserve(int) - Method in class org.ddogleg.struct.DogArray_B
reserve(int) - Method in class org.ddogleg.struct.DogArray_F32
reserve(int) - Method in class org.ddogleg.struct.DogArray_F64
reserve(int) - Method in class org.ddogleg.struct.DogArray_I16
reserve(int) - Method in class org.ddogleg.struct.DogArray_I32
reserve(int) - Method in class org.ddogleg.struct.DogArray_I64
reserve(int) - Method in class org.ddogleg.struct.DogArray_I8
reserve(int) - Method in class org.ddogleg.struct.DogArray: Ensures that the internal array has at least `length` elements.
reserve(int) - Method in interface org.ddogleg.struct.DogArrayPrimitive: Ensures that the internal array's length is at least this size.
reserve(int) - Method in class org.ddogleg.struct.FastArray: Ensures that the internal array has at least `length` elements.
reserve(int, boolean) - Method in class org.ddogleg.struct.FastArray
reset() - Method in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
reset() - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
reset() - Method in interface org.ddogleg.fitting.modelset.ModelMatcher: Resets the model matcher to its original state.
reset() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
reset() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac.TrialHelper
reset() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
reset() - Method in class org.ddogleg.graph.GraphDataManager: Takes all the used nodes and makes them unused.
reset() - Method in class org.ddogleg.solver.FitQuadratic2D
reset() - Method in class org.ddogleg.struct.BigDogArrayBase: Sets the array size to zero.
reset() - Method in class org.ddogleg.struct.CircularArray_F32
reset() - Method in class org.ddogleg.struct.CircularArray_F64
reset() - Method in class org.ddogleg.struct.CircularArray_I32
reset() - Method in class org.ddogleg.struct.CircularArray
reset() - Method in class org.ddogleg.struct.DogArray_B
reset() - Method in class org.ddogleg.struct.DogArray_F32
reset() - Method in class org.ddogleg.struct.DogArray_F64
reset() - Method in class org.ddogleg.struct.DogArray_I16
reset() - Method in class org.ddogleg.struct.DogArray_I32
reset() - Method in class org.ddogleg.struct.DogArray_I64
reset() - Method in class org.ddogleg.struct.DogArray_I8
reset() - Method in class org.ddogleg.struct.DogArray
reset() - Method in interface org.ddogleg.struct.DogArrayPrimitive: Sets the size to zero.
reset() - Method in class org.ddogleg.struct.DogLinkedList: Puts the linked list back into its initial state.
reset() - Method in class org.ddogleg.struct.FastArray: Sets the size of the list to zero.
resetHard() - Method in class org.ddogleg.graph.GraphDataManager: Takes all the used nodes and makes them unused.
resetReserve(int) - Method in class org.ddogleg.struct.FastArray: Convenience function which resets the array and reserves memory
resetResize(int) - Method in class org.ddogleg.struct.DogArray: Deprecated.
resetResize(int, boolean) - Method in class org.ddogleg.struct.DogArray_B: Deprecated.
resetResize(int, byte) - Method in class org.ddogleg.struct.DogArray_I8: Deprecated.
resetResize(int, double) - Method in class org.ddogleg.struct.DogArray_F64: Deprecated.
resetResize(int, float) - Method in class org.ddogleg.struct.DogArray_F32: Deprecated.
resetResize(int, int) - Method in class org.ddogleg.struct.DogArray_I32: Deprecated.
resetResize(int, long) - Method in class org.ddogleg.struct.DogArray_I64: Deprecated.
resetResize(int, short) - Method in class org.ddogleg.struct.DogArray_I16: Deprecated.
resetResize(int, DProcessIdx<T>) - Method in class org.ddogleg.struct.DogArray: Deprecated.
residuals - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
residuals - Variable in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
residuals - Variable in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
resize(int) - Method in class org.ddogleg.solver.Polynomial: Change the maximum number of coefficients which can be stored inside this polynomial
resize(int) - Method in class org.ddogleg.struct.BigDogArray: Override resize so that it calls the reset function
resize(int) - Method in class org.ddogleg.struct.BigDogArrayBase: Either increased or decreases the array size.
resize(int) - Method in class org.ddogleg.struct.DogArray_B
resize(int) - Method in class org.ddogleg.struct.DogArray_F32
resize(int) - Method in class org.ddogleg.struct.DogArray_F64
resize(int) - Method in class org.ddogleg.struct.DogArray_I16
resize(int) - Method in class org.ddogleg.struct.DogArray_I32
resize(int) - Method in class org.ddogleg.struct.DogArray_I64
resize(int) - Method in class org.ddogleg.struct.DogArray_I8
resize(int) - Method in class org.ddogleg.struct.DogArray: Changes the size to the specified length.
resize(int) - Method in interface org.ddogleg.struct.DogArrayPrimitive: Ensures that the internal array is at least this size.
resize(int) - Method in class org.ddogleg.struct.FastArray: Changes the size to the specified length.
resize(int, boolean) - Method in class org.ddogleg.struct.BigDogArray_B: Resizes the array and fills all new elements with the specified value
resize(int, boolean) - Method in class org.ddogleg.struct.DogArray_B: Resizes the array and assigns the default value to every new element.
resize(int, byte) - Method in class org.ddogleg.struct.BigDogArray_I8: Resizes the array and fills all new elements with the specified value
resize(int, byte) - Method in class org.ddogleg.struct.DogArray_I8: Resizes the array and assigns the default value to every new element.
resize(int, double) - Method in class org.ddogleg.struct.BigDogArray_F64: Resizes the array and fills all new elements with the specified value
resize(int, double) - Method in class org.ddogleg.struct.DogArray_F64: Resizes the array and assigns the default value to every new element.
resize(int, float) - Method in class org.ddogleg.struct.BigDogArray_F32: Resizes the array and fills all new elements with the specified value
resize(int, float) - Method in class org.ddogleg.struct.DogArray_F32: Resizes the array and assigns the default value to every new element.
resize(int, int) - Method in class org.ddogleg.struct.BigDogArray_I32: Resizes the array and fills all new elements with the specified value
resize(int, int) - Method in class org.ddogleg.struct.DogArray_I32: Resizes the array and assigns the default value to every new element.
resize(int, long) - Method in class org.ddogleg.struct.BigDogArray_I64: Resizes the array and fills all new elements with the specified value
resize(int, long) - Method in class org.ddogleg.struct.DogArray_I64: Resizes the array and assigns the default value to every element.
resize(int, short) - Method in class org.ddogleg.struct.DogArray_I16: Resizes the array and assigns the default value to every new element.
resize(int, DogLambdas.AssignIdx_B) - Method in class org.ddogleg.struct.DogArray_B: Resizes and assigns the new elements (if any) to the value specified by the lambda
resize(int, DogLambdas.AssignIdx_F32) - Method in class org.ddogleg.struct.DogArray_F32: Resizes and assigns the new elements (if any) to the value specified by the lambda
resize(int, DogLambdas.AssignIdx_F64) - Method in class org.ddogleg.struct.DogArray_F64: Resizes and assigns the new elements (if any) to the value specified by the lambda
resize(int, DogLambdas.AssignIdx_I16) - Method in class org.ddogleg.struct.DogArray_I16: Resizes and assigns the new elements (if any) to the value specified by the lambda
resize(int, DogLambdas.AssignIdx_I32) - Method in class org.ddogleg.struct.DogArray_I32: Resizes and assigns the new elements (if any) to the value specified by the lambda
resize(int, DogLambdas.AssignIdx_I64) - Method in class org.ddogleg.struct.DogArray_I64: Resizes and assigns the new elements (if any) to the value specified by the lambda
resize(int, DogLambdas.AssignIdx_I8) - Method in class org.ddogleg.struct.DogArray_I8: Resizes and assigns the new elements (if any) to the value specified by the lambda
resize(int, DProcess<T>) - Method in class org.ddogleg.struct.BigDogArray: Resizes the array and fills all new elements with the specified value
resize(int, DProcess<T>) - Method in class org.ddogleg.struct.DogArray: Resize with a configuration operator.
resize(int, DProcessIdx<T>) - Method in class org.ddogleg.struct.DogArray: Resize with a configuration operator.
resize(int, T) - Method in class org.ddogleg.struct.FastArray: Changes the size and fills each element with this value
resizeQueue(int) - Method in class org.ddogleg.struct.CircularArray_F32
resizeQueue(int) - Method in class org.ddogleg.struct.CircularArray_F64
result - Variable in class org.ddogleg.solver.impl.SturmSequence
retainAll(Collection<?>) - Method in class org.ddogleg.struct.DogArrayList
retainAll(Collection<?>) - Method in class org.ddogleg.struct.FastArrayList
reverse() - Method in class org.ddogleg.struct.FastAccess: Reverse the item order in this queue.
right - Variable in class org.ddogleg.nn.alg.KdTree.Node: Branch ≥ point[split]
root - Variable in class org.ddogleg.nn.alg.KdTree
RootFinderCompanion - Class in org.ddogleg.solver.impl: Finds the roots of a polynomial using a companion matrix and eigenvalue decomposition.
RootFinderCompanion() - Constructor for class org.ddogleg.solver.impl.RootFinderCompanion
RootFinderType - Enum Class in org.ddogleg.solver: Types of polynomial root finding algorithms that can be used

S

sameStateAsCost - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
sampleSize - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
sampleSize - Variable in class org.ddogleg.fitting.modelset.ransac.Ransac
sampleSize - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti.ObjectType: The number of points it samples when generating a set of model parameters.
sampleSize - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti
SchurJacobian<S extends DMatrix> - Interface in org.ddogleg.optimization.functions: Jacobian calculation for use in Schur Complement.
SchurJacobian_to_NtoMxN<T extends DMatrix> - Class in org.ddogleg.optimization.wrap: Provides a way to convert a regular Jacobian matrix into a SchurJacobian
SchurJacobian_to_NtoMxN(SchurJacobian<T>) - Constructor for class org.ddogleg.optimization.wrap.SchurJacobian_to_NtoMxN
SchurJacobian_to_NtoMxN.DDRM - Class in org.ddogleg.optimization.wrap
SchurJacobian_to_NtoMxN.DSCC - Class in org.ddogleg.optimization.wrap
SearchInterpolate - Class in org.ddogleg.optimization.quasinewton: Contains interpolation functions for use in line searches.
SearchInterpolate() - Constructor for class org.ddogleg.optimization.quasinewton.SearchInterpolate
searchNode(P, KdTree.Node) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst: Traverse a node down to a leaf.
SearchStatus - Enum Class in org.ddogleg.optimization.quasinewton
section() - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86: Using the found bracket for alpha it searches for a better estimate.
SeedFromKMeans_F64 - Class in org.ddogleg.clustering.gmm: Initializes the mixture models by applying K-Means first.
SeedFromKMeans_F64(StandardKMeans<double[]>) - Constructor for class org.ddogleg.clustering.gmm.SeedFromKMeans_F64
seedSelector - Variable in class org.ddogleg.clustering.kmeans.StandardKMeans
select(byte[], int, int) - Static method in class org.ddogleg.sorting.QuickSelect: Sorts the array such that the values in the array up to and including 'k' are sorted the least to greatest.
select(double[]) - Method in interface org.ddogleg.nn.alg.AxisSplitRule: Selects the index for splitting using the provided variances.
select(double[]) - Method in class org.ddogleg.nn.alg.AxisSplitRuleMax
select(double[]) - Method in class org.ddogleg.nn.alg.AxisSplitRuleRandomK
select(double[], int, int) - Static method in class org.ddogleg.sorting.QuickSelect: Sorts the array such that the values in the array up to and including 'k' are sorted the least to greatest.
select(double[], int, int, int) - Static method in class org.ddogleg.sorting.QuickSelect
select(float[], int, int) - Static method in class org.ddogleg.sorting.QuickSelect: Sorts the array such that the values in the array up to and including 'k' are sorted the least to greatest.
select(float[], int, int, int) - Static method in class org.ddogleg.sorting.QuickSelect
select(int[], int, int) - Static method in class org.ddogleg.sorting.QuickSelect: Sorts the array such that the values in the array up to and including 'k' are sorted the least to greatest.
select(long[], int, int) - Static method in class org.ddogleg.sorting.QuickSelect: Sorts the array such that the values in the array up to and including 'k' are sorted the least to greatest.
select(short[], int, int) - Static method in class org.ddogleg.sorting.QuickSelect: Sorts the array such that the values in the array up to and including 'k' are sorted the least to greatest.
select(T[], int, int) - Static method in class org.ddogleg.sorting.QuickSelect: Sorts the array such that the values in the array up to and including 'k' are sorted the least to greatest.
select(T[], int, int, int) - Static method in class org.ddogleg.sorting.QuickSelect
select(T[], int, int, int[]) - Static method in class org.ddogleg.sorting.QuickSelect: Sorts the array such that the values in the array up to and including 'k' are sorted the least to greatest.
selectedIdx - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares.TrialHelper
selectIndex(byte[], int, int, int[]) - Static method in class org.ddogleg.sorting.QuickSelect: Returns the original index of the 'k' largest element in the list.
selectIndex(double[], int, int, int[]) - Static method in class org.ddogleg.sorting.QuickSelect: Returns the original index of the 'k' largest element in the list.
selectIndex(float[], int, int, int[]) - Static method in class org.ddogleg.sorting.QuickSelect: Returns the original index of the 'k' largest element in the list.
selectIndex(int[], int, int, int[]) - Static method in class org.ddogleg.sorting.QuickSelect: Returns the original index of the 'k' largest element in the list.
selectIndex(long[], int, int, int[]) - Static method in class org.ddogleg.sorting.QuickSelect: Returns the original index of the 'k' largest element in the list.
selectIndex(short[], int, int, int[]) - Static method in class org.ddogleg.sorting.QuickSelect: Returns the original index of the 'k' largest element in the list.
selectMatchSet(List<Point>, int, double, Model) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac.TrialHelper: Looks for points in the data set which closely match the current best fit model in the optimizer.
selectMatchSet(List<Point>, DistanceFromModel<Model, Point>, double, Model) - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti: Exhaustively searches through the list of points contained in 'dataSet' for the set of inliers which match the provided model.
selectPointForNextSeed(double) - Method in class org.ddogleg.clustering.kmeans.InitializePlusPlus: Randomly selects the next seed.
selectSeeds(LArrayAccessor<double[]>, List<GaussianGmm_F64>) - Method in interface org.ddogleg.clustering.gmm.InitializeGmm_F64
selectSeeds(LArrayAccessor<double[]>, List<GaussianGmm_F64>) - Method in class org.ddogleg.clustering.gmm.SeedFromKMeans_F64
selectSeeds(LArrayAccessor, int, DogArray) - Method in interface org.ddogleg.clustering.kmeans.InitializeKMeans: Given the a set of points, select a set of seeds to initialize k-means from.
selectSeeds(LArrayAccessor, int, DogArray) - Method in class org.ddogleg.clustering.kmeans.InitializePlusPlus
selectSeeds(LArrayAccessor, int, DogArray) - Method in class org.ddogleg.clustering.kmeans.InitializeStandard
sequence - Variable in class org.ddogleg.solver.impl.SturmSequence
sequenceLength - Variable in class org.ddogleg.solver.impl.SturmSequence
set(int, boolean) - Method in class org.ddogleg.struct.BigDogArray_B: Assigns an element a new value
set(int, boolean) - Method in class org.ddogleg.struct.DogArray_B
set(int, byte) - Method in class org.ddogleg.struct.BigDogArray_I8: Assigns an element a new value
set(int, double) - Method in class org.ddogleg.struct.BigDogArray_F64: Assigns an element a new value
set(int, double) - Method in class org.ddogleg.struct.DogArray_F64
set(int, float) - Method in class org.ddogleg.struct.BigDogArray_F32: Assigns an element a new value
set(int, float) - Method in class org.ddogleg.struct.DogArray_F32
set(int, int) - Method in class org.ddogleg.struct.BigDogArray_I32: Assigns an element a new value
set(int, int) - Method in class org.ddogleg.struct.DogArray_I16
set(int, int) - Method in class org.ddogleg.struct.DogArray_I32
set(int, int) - Method in class org.ddogleg.struct.DogArray_I8
set(int, long) - Method in class org.ddogleg.struct.BigDogArray_I64: Assigns an element a new value
set(int, long) - Method in class org.ddogleg.struct.DogArray_I64
set(int, T) - Method in class org.ddogleg.struct.DogArrayList
set(int, T) - Method in class org.ddogleg.struct.FastArray
set(int, T) - Method in class org.ddogleg.struct.FastArrayList
set(ConfigGaussNewton) - Method in class org.ddogleg.optimization.ConfigGaussNewton
set(CircularArray_F32) - Method in class org.ddogleg.struct.CircularArray_F32
set(CircularArray_F64) - Method in class org.ddogleg.struct.CircularArray_F64
set(S, D) - Method in interface org.ddogleg.struct.DogArray.Set
set(T) - Method in class org.ddogleg.struct.DogArrayList.MyIterator
set(T) - Method in class org.ddogleg.struct.FastArrayList.MyIterator
setArray(long, Array, int, int) - Method in class org.ddogleg.struct.BigDogArrayBase: Copies the passed in array into this array at the specified location
setArray(DogArray<T>) - Method in class org.ddogleg.struct.DogArrayList
setBestModel(Object) - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti: Turns the current candidates into the best ones.
setConvergence(double, double) - Method in interface org.ddogleg.optimization.LineSearch: Specify convergence criteria for line search
setConvergence(double, double) - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
setConvergence(double, double) - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94
setConvergence(double, double) - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS: Specify convergence tolerances
setConvergence(double, double, double) - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94: Configures the line search.
setCovariance(DMatrixRMaj) - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64
setData(T[]) - Method in class org.ddogleg.struct.DogArray
setDiagonals(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianMath_DDRM
setDiagonals(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianMath_DSCC
setDiagonals(DMatrixRMaj) - Method in interface org.ddogleg.optimization.math.HessianMath: Sets the diagonal elements in the Hessian to the provided vector
setDiagonals(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
setDimension(int) - Method in interface org.ddogleg.nn.alg.AxisSplitRule: Specifies the point's dimension
setDimension(int) - Method in class org.ddogleg.nn.alg.AxisSplitRuleMax
setDimension(int) - Method in class org.ddogleg.nn.alg.AxisSplitRuleRandomK
setErrorFraction(double) - Method in interface org.ddogleg.fitting.modelset.InlierFraction: Specifies the inlier set as a fraction
setErrorFraction(double) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
setFunction(CoupledDerivative, double) - Method in interface org.ddogleg.optimization.LineSearch: Sets the function being optimized.
setFunction(CoupledDerivative, double) - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86: Sets the function being optimized.
setFunction(CoupledDerivative, double) - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94
setFunction(FunctionNtoM, FunctionNtoMxN<S>) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
setFunction(FunctionNtoM, FunctionNtoMxN<S>) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
setFunction(FunctionNtoM, FunctionNtoMxN<S>) - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquares: Specifies a set of functions and their Jacobian.
setFunction(FunctionNtoM, SchurJacobian<S>) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
setFunction(FunctionNtoM, SchurJacobian<S>) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
setFunction(FunctionNtoM, SchurJacobian<S>) - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquaresSchur: Specifies a set of functions and their Jacobian.
setFunction(FunctionNtoS, FunctionNtoN, double) - Method in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64
setFunction(FunctionNtoS, FunctionNtoN, double) - Method in interface org.ddogleg.optimization.UnconstrainedMinimization: Specifies the function being optimized.
setFunction(FunctionNtoS, FunctionNtoN, double) - Method in class org.ddogleg.optimization.wrap.QuasiNewtonBFGS_to_UnconstrainedMinimization
setFunction(GradientLineFunction, double) - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS: Specify the function being optimized
setGaussian(GaussianGmm_F64) - Method in class org.ddogleg.clustering.gmm.GaussianLikelihoodManager.Likelihood: Precomputes the parts of the likelihood functions which can be.
setInitialBlockSize(int) - Method in class org.ddogleg.struct.BigDogArrayBase: Assigns a new initial block size.
setInitialHInv(DMatrixRMaj) - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS: Manually specify the initial inverse hessian approximation.
setInput(double) - Method in interface org.ddogleg.optimization.functions.CoupledDerivative
setInput(double) - Method in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
setInput(double) - Method in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
setInput(double) - Method in class org.ddogleg.optimization.wrap.Individual_to_CoupledDerivative
setInput(double[]) - Method in interface org.ddogleg.optimization.functions.CoupledGradient
setInput(double[]) - Method in interface org.ddogleg.optimization.functions.CoupledJacobian: Specifies the input parameters.
setInput(double[]) - Method in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
setInput(double[]) - Method in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
setInput(double[]) - Method in class org.ddogleg.optimization.wrap.Individual_to_CoupledJacobian
setLine(double[], double[]) - Method in interface org.ddogleg.optimization.functions.LineSearchFunction
setLine(double[], double[]) - Method in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
setLine(double[], double[]) - Method in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
setMaxDistance(double) - Method in interface org.ddogleg.nn.alg.KdTreeSearch1: Specifies the maximum distance a closest-point needs to be to be considered
setMaxDistance(double) - Method in interface org.ddogleg.nn.alg.KdTreeSearchN: Specifies the maximum distance a closest-point needs to be to be considered
setMaxDistance(double) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearch1Standard: Specifies the greatest distance it will search
setMaxDistance(double) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst
setMaxDistance(double) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchNStandard: Specifies the greatest distance it will search
setMaxIterations(int) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
setMaxIterations(int) - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
setMaxThreads(int) - Static method in class org.ddogleg.DDoglegConcurrency: Sets the maximum number of threads available in the thread pool and adjusts USE_CONCURRENT.
setMean(double[]) - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64: Sets the mean to be the same as the provided point\
setMean(DMatrixRMaj) - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64
setModel(double[]) - Method in interface org.ddogleg.optimization.OptimizationDerivative: Specifies the current model parameters around which the gradient is computed.
setModel(Model) - Method in interface org.ddogleg.fitting.modelset.DistanceFromModel: Sets the model parameters.
setModel(Factory<ModelGenerator<Model, Point>>, Factory<DistanceFromModel<Model, Point>>) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares_MT
setModel(Factory<ModelGenerator<Model, Point>>, Factory<DistanceFromModel<Model, Point>>) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
setModel(Factory<ModelGenerator<Model, Point>>, Factory<DistanceFromModel<Model, Point>>) - Method in interface org.ddogleg.fitting.modelset.ModelMatcherPost: Specifies the internal model.
setModel(Factory<ModelGenerator<Model, Point>>, Factory<DistanceFromModel<Model, Point>>) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac_MT
setModel(Factory<ModelGenerator<Model, Point>>, Factory<DistanceFromModel<Model, Point>>) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
setPoints(List<double[]>, boolean) - Method in class org.ddogleg.nn.alg.VpTree
setPoints(List) - Method in class org.ddogleg.nn.alg.ExhaustiveNeighbor: The input list which the nearest-neighbor is to be found inside of
setPoints(List, boolean) - Method in interface org.ddogleg.nn.NearestNeighbor: Specifies the set of points which are to be searched.
setPoints(List, boolean) - Method in class org.ddogleg.nn.wrap.KdForestBbfNearestNeighbor
setPoints(List, boolean) - Method in class org.ddogleg.nn.wrap.KdTreeNearestNeighbor
setPoints(List, boolean) - Method in class org.ddogleg.nn.wrap.WrapExhaustiveNeighbor
setRange(double, double) - Method in class org.ddogleg.sorting.ApproximateSort_F64: Specify the data range
setRange(float, float) - Method in class org.ddogleg.sorting.ApproximateSort_F32: Specify the data range
setRange(int, int) - Method in class org.ddogleg.sorting.CountingSort: Specify the data range
setSampleSize(int) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Number of points it samples to compute a model from.
setSampleSize(int) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac: Override the number of points that are sampled and used to generate models.
setSampleSize(int) - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti: Override the number of points that are sampled and used to generate models.
setSize(int) - Method in class org.ddogleg.struct.DogArray
setTail(int, boolean) - Method in class org.ddogleg.struct.BigDogArray_B: Assigns an element a new value, counting from the end of the array.
setTail(int, boolean) - Method in class org.ddogleg.struct.DogArray_B
setTail(int, byte) - Method in class org.ddogleg.struct.BigDogArray_I8: Assigns an element a new value, counting from the end of the array.
setTail(int, double) - Method in class org.ddogleg.struct.BigDogArray_F64: Assigns an element a new value, counting from the end of the array.
setTail(int, double) - Method in class org.ddogleg.struct.DogArray_F64
setTail(int, float) - Method in class org.ddogleg.struct.BigDogArray_F32: Assigns an element a new value, counting from the end of the array.
setTail(int, float) - Method in class org.ddogleg.struct.DogArray_F32
setTail(int, int) - Method in class org.ddogleg.struct.BigDogArray_I32: Assigns an element a new value, counting from the end of the array.
setTail(int, int) - Method in class org.ddogleg.struct.DogArray_I16
setTail(int, int) - Method in class org.ddogleg.struct.DogArray_I32
setTail(int, int) - Method in class org.ddogleg.struct.DogArray_I8
setTail(int, long) - Method in class org.ddogleg.struct.BigDogArray_I64: Assigns an element a new value, counting from the end of the array.
setTail(int, long) - Method in class org.ddogleg.struct.DogArray_I64
setTail(int, T) - Method in class org.ddogleg.struct.FastArray
setThresholdFit(double) - Method in interface org.ddogleg.fitting.modelset.InlierThreshold: Specifies the "fit" criteria for inlier set as being equal to or less than this
setThresholdFit(double) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
setTo(boolean...) - Method in class org.ddogleg.struct.DogArray_B: Set's the value of this array to the passed in raw array.
setTo(boolean[], int, int) - Method in class org.ddogleg.struct.DogArray_B: Sets this array to be equal to the array segment
setTo(byte...) - Method in class org.ddogleg.struct.DogArray_I8: Set's the value of this array to the passed in raw array.
setTo(byte[], int, int) - Method in class org.ddogleg.struct.DogArray_I8: Sets this array to be equal to the array segment
setTo(double...) - Method in class org.ddogleg.struct.DogArray_F64: Set's the value of this array to the passed in raw array.
setTo(double[], int) - Method in class org.ddogleg.solver.Polynomial
setTo(double[], int, int) - Method in class org.ddogleg.struct.DogArray_F64: Sets this array to be equal to the array segment
setTo(float...) - Method in class org.ddogleg.struct.DogArray_F32: Set's the value of this array to the passed in raw array.
setTo(float[], int, int) - Method in class org.ddogleg.struct.DogArray_F32: Sets this array to be equal to the array segment
setTo(int...) - Method in class org.ddogleg.struct.DogArray_I32: Set's the value of this array to the passed in raw array.
setTo(int[], int, int) - Method in class org.ddogleg.struct.DogArray_I32: Sets this array to be equal to the array segment
setTo(long...) - Method in class org.ddogleg.struct.DogArray_I64: Set's the value of this array to the passed in raw array.
setTo(long[], int, int) - Method in class org.ddogleg.struct.DogArray_I64: Sets this array to be equal to the array segment
setTo(short...) - Method in class org.ddogleg.struct.DogArray_I16: Set's the value of this array to the passed in raw array.
setTo(short[], int, int) - Method in class org.ddogleg.struct.DogArray_I16: Sets this array to be equal to the array segment
setTo(ConfigKMeans) - Method in class org.ddogleg.clustering.ConfigKMeans
setTo(ConfigNearestNeighborSearch) - Method in class org.ddogleg.nn.ConfigNearestNeighborSearch
setTo(ConfigNearestNeighborSearch.KDTree) - Method in class org.ddogleg.nn.ConfigNearestNeighborSearch.KDTree
setTo(ConfigNearestNeighborSearch.RandomForest) - Method in class org.ddogleg.nn.ConfigNearestNeighborSearch.RandomForest
setTo(Polynomial) - Method in class org.ddogleg.solver.Polynomial
setTo(DogArray_B) - Method in class org.ddogleg.struct.DogArray_B
setTo(DogArray_F32) - Method in class org.ddogleg.struct.DogArray_F32
setTo(DogArray_F64) - Method in class org.ddogleg.struct.DogArray_F64
setTo(DogArray_I16) - Method in class org.ddogleg.struct.DogArray_I16
setTo(DogArray_I32) - Method in class org.ddogleg.struct.DogArray_I32
setTo(DogArray_I64) - Method in class org.ddogleg.struct.DogArray_I64
setTo(DogArray_I8) - Method in class org.ddogleg.struct.DogArray_I8
setTo(T) - Method in interface org.ddogleg.struct.DogArrayPrimitive: Turns 'this' into a copy of 'original'
setTree(Object) - Method in interface org.ddogleg.nn.alg.KdTreeSearch1: Specifies the tree which will be searched.
setTree(Object) - Method in interface org.ddogleg.nn.alg.KdTreeSearchN: Specifies the tree which will be searched.
setTree(Object) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearch1Bbf
setTree(Object) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearch1Standard
setTree(Object) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchNBbf
setTree(Object) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchNStandard
setTree(KdTree) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst
setTrees(KdTree[]) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst
setValue(int, double) - Method in class org.ddogleg.solver.FitQuadratic3by3: Sets the value by index.
setValue(int, int, double) - Method in class org.ddogleg.solver.FitQuadratic3by3: Sets the observed value by coordinate point.
setVerbose(boolean) - Method in interface org.ddogleg.clustering.ComputeClusters: If set to true then information about status will be printed to standard out.
setVerbose(boolean) - Method in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64
setVerbose(boolean) - Method in interface org.ddogleg.clustering.gmm.InitializeGmm_F64: Turn on verbose output to standard out
setVerbose(boolean) - Method in class org.ddogleg.clustering.gmm.SeedFromKMeans_F64
setVerbose(boolean) - Method in class org.ddogleg.clustering.kmeans.StandardKMeans
setVerbose(PrintStream, int) - Method in class org.ddogleg.optimization.GaussNewtonBase_F64: If set to a non-null output then extra information will be printed to the specified stream.
setVerbose(PrintStream, int) - Method in interface org.ddogleg.optimization.IterativeOptimization: If set to a non-null output then extra information will be printed to the specified stream.
setVerbose(PrintStream, int) - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
setVerbose(PrintStream, int) - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94
setVerbose(PrintStream, int) - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS
setVerbose(PrintStream, int) - Method in interface org.ddogleg.optimization.trustregion.TrustRegionBase_F64.ParameterUpdate
setVerbose(PrintStream, int) - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64: Turns on printing of debug messages.
setVerbose(PrintStream, int) - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateCauchy_F64
setVerbose(PrintStream, int) - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
setVerbose(PrintStream, int) - Method in class org.ddogleg.optimization.wrap.QuasiNewtonBFGS_to_UnconstrainedMinimization
setVerbose(PrintStream, Set<String>) - Method in interface org.ddogleg.struct.VerbosePrint: If set to a non-null output then extra information will be printed to the specified stream.
setWeight(double) - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64
setZeroTolerance(double) - Method in class org.ddogleg.optimization.derivative.NumericalJacobianForward_DSCC
ShellSort - Class in org.ddogleg.sorting: Implementation of the shell sort algorithm from Numerical Recipes Third Edition.
ShellSort() - Constructor for class org.ddogleg.sorting.ShellSort
shuffle(byte[], int, int, Random) - Static method in class org.ddogleg.util.PrimitiveArrays: Randomly shuffle the array
shuffle(double[], int, int, Random) - Static method in class org.ddogleg.util.PrimitiveArrays: Randomly shuffle the array
shuffle(float[], int, int, Random) - Static method in class org.ddogleg.util.PrimitiveArrays: Randomly shuffle the array
shuffle(int[], int, int, Random) - Static method in class org.ddogleg.util.PrimitiveArrays: Randomly shuffle the array
shuffle(long[], int, int, Random) - Static method in class org.ddogleg.util.PrimitiveArrays: Randomly shuffle the array
shuffle(short[], int, int, Random) - Static method in class org.ddogleg.util.PrimitiveArrays: Randomly shuffle the array
shuffle(Random) - Method in class org.ddogleg.struct.DogArray_B: Shuffle elements by randomly swapping them
shuffle(Random) - Method in class org.ddogleg.struct.DogArray_F32: Shuffle elements by randomly swapping them
shuffle(Random) - Method in class org.ddogleg.struct.DogArray_F64: Shuffle elements by randomly swapping them
shuffle(Random) - Method in class org.ddogleg.struct.DogArray_I16: Shuffle elements by randomly swapping them
shuffle(Random) - Method in class org.ddogleg.struct.DogArray_I32: Shuffle elements by randomly swapping them
shuffle(Random) - Method in class org.ddogleg.struct.DogArray_I64: Shuffle elements by randomly swapping them
shuffle(Random) - Method in class org.ddogleg.struct.DogArray_I8: Shuffle elements by randomly swapping them
shuffle(Random) - Method in class org.ddogleg.struct.DogArray: Randomly shuffles elements in the list.
shuffle(Random, int) - Method in class org.ddogleg.struct.DogArray: Shuffle where it will only shuffle up to the specified number of elements.
size - Variable in class org.ddogleg.solver.Polynomial
size - Variable in class org.ddogleg.struct.BigDogArrayBase: Number of elements in the array being used.
size - Variable in class org.ddogleg.struct.CircularArray_F32
size - Variable in class org.ddogleg.struct.CircularArray_F64
size - Variable in class org.ddogleg.struct.CircularArray_I32
size - Variable in class org.ddogleg.struct.CircularArray
size - Variable in class org.ddogleg.struct.DogArray_B
size - Variable in class org.ddogleg.struct.DogArray_F32
size - Variable in class org.ddogleg.struct.DogArray_F64
size - Variable in class org.ddogleg.struct.DogArray_I16
size - Variable in class org.ddogleg.struct.DogArray_I32
size - Variable in class org.ddogleg.struct.DogArray_I64
size - Variable in class org.ddogleg.struct.DogArray_I8
size - Variable in class org.ddogleg.struct.DogLinkedList
size - Variable in class org.ddogleg.struct.FastAccess
size() - Method in class org.ddogleg.clustering.misc.ListAccessor
size() - Method in class org.ddogleg.combinatorics.Permute: Returns the size of the list being premuted
size() - Method in class org.ddogleg.solver.Polynomial
size() - Method in class org.ddogleg.struct.CircularArray_F32
size() - Method in class org.ddogleg.struct.CircularArray_F64
size() - Method in class org.ddogleg.struct.CircularArray_I32
size() - Method in class org.ddogleg.struct.CircularArray
size() - Method in class org.ddogleg.struct.DogArray_B
size() - Method in class org.ddogleg.struct.DogArray_F32
size() - Method in class org.ddogleg.struct.DogArray_F64
size() - Method in class org.ddogleg.struct.DogArray_I16
size() - Method in class org.ddogleg.struct.DogArray_I32
size() - Method in class org.ddogleg.struct.DogArray_I64
size() - Method in class org.ddogleg.struct.DogArray_I8
size() - Method in class org.ddogleg.struct.DogArrayList
size() - Method in interface org.ddogleg.struct.DogArrayPrimitive: Number of elements in the queue
size() - Method in class org.ddogleg.struct.DogLinkedList: Returns the number of elements in the list
size() - Method in class org.ddogleg.struct.FastAccess: Number of elements in the array
size() - Method in class org.ddogleg.struct.FastArrayList
size() - Method in interface org.ddogleg.struct.LArrayAccessor: Number of elements in the set
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianBFGS_DDRM
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianMath_DDRM
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianMath_DSCC
solve(DMatrixRMaj, DMatrixRMaj) - Method in interface org.ddogleg.optimization.math.HessianMath: Solves the system step = inv(B)*Y
solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_Base
solveCauchyStepLength() - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64
solveGaussNewtonPoint(DMatrixRMaj) - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
solver - Variable in class org.ddogleg.optimization.math.HessianMath_DDRM
solverA - Variable in class org.ddogleg.optimization.math.HessianSchurComplement_Base
solverD - Variable in class org.ddogleg.optimization.math.HessianSchurComplement_Base
sort() - Method in class org.ddogleg.struct.DogArray_B
sort() - Method in class org.ddogleg.struct.DogArray_F32
sort() - Method in class org.ddogleg.struct.DogArray_F64
sort() - Method in class org.ddogleg.struct.DogArray_I16
sort() - Method in class org.ddogleg.struct.DogArray_I32
sort() - Method in class org.ddogleg.struct.DogArray_I64
sort() - Method in class org.ddogleg.struct.DogArray_I8
sort() - Method in interface org.ddogleg.struct.DogArrayPrimitive: Sorts the data from smallest to largest
sort(double[]) - Static method in class org.ddogleg.sorting.ShellSort: Sorts data into ascending order
sort(double[]) - Static method in class org.ddogleg.sorting.StraightInsertionSort: Sorts data into ascending order
sort(double[], int) - Method in class org.ddogleg.sorting.QuickSort_F64
sort(double[], int, int, int[]) - Method in class org.ddogleg.sorting.QuickSort_F64
sort(double[], int, int, int[]) - Static method in class org.ddogleg.sorting.ShellSort
sort(double[], int, List<T>) - Method in class org.ddogleg.sorting.QuickSort_F64: Sorts the array and modifies the order in the list the same way
sort(float[]) - Static method in class org.ddogleg.sorting.ShellSort
sort(float[], int) - Method in class org.ddogleg.sorting.QuickSort_F32
sort(float[], int, int, int[]) - Method in class org.ddogleg.sorting.QuickSort_F32
sort(float[], int, int, int[]) - Static method in class org.ddogleg.sorting.ShellSort
sort(float[], int, List<T>) - Method in class org.ddogleg.sorting.QuickSort_F32: Sorts the array and modifies the order in the list the same way
sort(int[]) - Static method in class org.ddogleg.sorting.ShellSort
sort(int[], int) - Method in class org.ddogleg.sorting.QuickSort_S32
sort(int[], int, int) - Method in class org.ddogleg.sorting.CountingSort: Sorts the data in the array.
sort(int[], int, int[], int, int) - Method in class org.ddogleg.sorting.CountingSort: Sort routine which does not modify the input array.
sort(int[], int, int, int[]) - Method in class org.ddogleg.sorting.QuickSort_S32
sort(int[], int, int, int[]) - Static method in class org.ddogleg.sorting.ShellSort
sort(int[], int, List<T>) - Method in class org.ddogleg.sorting.QuickSort_S32: Sorts the array and modifies the order in the list the same way
sort(List<T>, int) - Method in class org.ddogleg.sorting.QuickSortComparable
sort(List<T>, int) - Method in class org.ddogleg.sorting.QuickSortComparator
sort(QuickSort_F32) - Method in class org.ddogleg.struct.DogArray_F32: Sort but with a re-usable sorter to avoid declaring new memory
sort(QuickSort_F64) - Method in class org.ddogleg.struct.DogArray_F64: Sort but with a re-usable sorter to avoid declaring new memory
sort(QuickSort_S32) - Method in class org.ddogleg.struct.DogArray_I32: Sort but with a re-usable sorter to avoid declaring new memory
sort(SortableParameter_F32[], int) - Method in class org.ddogleg.sorting.QuickSortObj_F32
sort(SortableParameter_F32[], int, int[]) - Method in class org.ddogleg.sorting.QuickSortObj_F32
sort(SortableParameter_F64[], int) - Method in class org.ddogleg.sorting.QuickSortObj_F64
sort(SortableParameter_F64[], int, int[]) - Method in class org.ddogleg.sorting.QuickSortObj_F64
sort(T[], int) - Method in class org.ddogleg.sorting.QuickSortComparable
sort(T[], int) - Method in class org.ddogleg.sorting.QuickSortComparator
sort(T[], int, int[]) - Method in class org.ddogleg.sorting.QuickSortComparable
sort(T[], int, int[]) - Method in class org.ddogleg.sorting.QuickSortComparator
SortableParameter_F32 - Class in org.ddogleg.sorting: Class which can be extended and allows the object to be sorted faster than a generic Comparable
SortableParameter_F32() - Constructor for class org.ddogleg.sorting.SortableParameter_F32
SortableParameter_F32(float) - Constructor for class org.ddogleg.sorting.SortableParameter_F32
SortableParameter_F64 - Class in org.ddogleg.sorting: Class which can be extended and allows the object to be sorted faster than a generic Comparable
SortableParameter_F64() - Constructor for class org.ddogleg.sorting.SortableParameter_F64
SortableParameter_F64(double) - Constructor for class org.ddogleg.sorting.SortableParameter_F64
sortIndex(double[], int, int, int[]) - Method in class org.ddogleg.sorting.ApproximateSort_F64: Sort routine which does not modify the input array and instead maintains a list of indexes.
sortIndex(float[], int, int, int[]) - Method in class org.ddogleg.sorting.ApproximateSort_F32: Sort routine which does not modify the input array and instead maintains a list of indexes.
sortIndex(int[], int, int, int[]) - Method in class org.ddogleg.sorting.CountingSort: Sort routine which does not modify the input array and instead maintains a list of indexes.
sortObject(SortableParameter_F32[], int, int) - Method in class org.ddogleg.sorting.ApproximateSort_F32: Sorts the input list
sortObject(SortableParameter_F64[], int, int) - Method in class org.ddogleg.sorting.ApproximateSort_F64: Sorts the input list
sortValue - Variable in class org.ddogleg.sorting.SortableParameter_F32
sortValue - Variable in class org.ddogleg.sorting.SortableParameter_F64
split - Variable in class org.ddogleg.nn.alg.KdTree.Node: axis used to split the data.
splitData(List, DogArray_I32, List, DogArray_I32, List, DogArray_I32) - Method in interface org.ddogleg.nn.alg.AxisSplitter: Given the a set of points, select the axis to split the data along and select a point to divide the data.
splitData(List, DogArray_I32, List, DogArray_I32, List, DogArray_I32) - Method in class org.ddogleg.nn.alg.AxisSplitterMedian
SQRT_2_PI - Static variable in class org.ddogleg.stats.UtilGaussian
STANDARD - Enum constant in enum class org.ddogleg.clustering.KMeansInitializers: Randomly select seeds from the set of available points
StandardKMeans - Class in org.ddogleg.clustering.kmeans: Standard implementation of k-means [1], summary is provided below:
StandardKMeans(ComputeMeanClusters, InitializeKMeans, PointDistance, DogLambdas.NewInstance) - Constructor for class org.ddogleg.clustering.kmeans.StandardKMeans: Configures k-means parameters
StandardKMeans_MT - Class in org.ddogleg.clustering.kmeans: Concurrent implementation of StandardKMeans
StandardKMeans_MT(ComputeMeanClusters, InitializeKMeans, PointDistance, DogLambdas.NewInstance) - Constructor for class org.ddogleg.clustering.kmeans.StandardKMeans_MT: Configures k-means parameters
start - Variable in class org.ddogleg.optimization.wrap.CachedGradientLineFunction
start - Variable in class org.ddogleg.optimization.wrap.CachedNumericalGradientLineFunction
start - Variable in class org.ddogleg.struct.CircularArray_F32
start - Variable in class org.ddogleg.struct.CircularArray_F64
start - Variable in class org.ddogleg.struct.CircularArray_I32
start - Variable in class org.ddogleg.struct.CircularArray
state - Variable in class org.ddogleg.combinatorics.Combinations
StatisticalDistance - Enum Class in org.ddogleg.fitting.modelset.distance: Statistic used by StatisticalDistanceModelMatcher.
StatisticalDistanceModelMatcher<Model,Point> - Class in org.ddogleg.fitting.modelset.distance: Outliers are removed by first fitting a model to all the data points.
StatisticalDistanceModelMatcher(int, double, double, double, int, StatisticalDistance, double, ModelManager<Model>, ModelGenerator<Model, Point>, DistanceFromModel<Model, Point>, ModelCodec<Model>) - Constructor for class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher: Creates a new model matcher.
StatisticalFit<Model,Point> - Interface in org.ddogleg.fitting.modelset.distance: Interface for computing error metrics and pruning features.
StatisticsDogArray - Class in org.ddogleg.stats
StatisticsDogArray() - Constructor for class org.ddogleg.stats.StatisticsDogArray
stdev(DogArray_F64, double) - Static method in class org.ddogleg.stats.StatisticsDogArray
step(IterativeOptimization) - Static method in class org.ddogleg.optimization.UtilOptimize: Performs a single step by iterating until the parameters are updated.
stepCauchy - Variable in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
stepGN - Variable in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
Stoppable - Interface in org.ddogleg.struct: Provides a mechanism to stop the processing before completion.
Stoppable.Stopped - Exception in org.ddogleg.struct: Exception which is thrown when a process has been stopped early.
Stopped() - Constructor for exception org.ddogleg.struct.Stoppable.Stopped
Stopped(String) - Constructor for exception org.ddogleg.struct.Stoppable.Stopped
stp - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
stprev - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
StraightInsertionSort - Class in org.ddogleg.sorting: An implementation of the straight insert sort algorithm.
StraightInsertionSort() - Constructor for class org.ddogleg.sorting.StraightInsertionSort
STURM - Enum constant in enum class org.ddogleg.solver.RootFinderType: Uses Sturm sequences to find roots.
SturmSequence - Class in org.ddogleg.solver.impl: A Sturm sequence has the property that the number of sign changes can be used to compute the number of real roots in a polynomial.
SturmSequence(int) - Constructor for class org.ddogleg.solver.impl.SturmSequence: Configures the algorithm.
subList(int, int) - Method in class org.ddogleg.struct.DogArrayList
subList(int, int) - Method in class org.ddogleg.struct.FastArrayList
sum(double[]) - Static method in class org.ddogleg.util.UtilDouble
sum(float[]) - Static method in class org.ddogleg.util.UtilDouble
sumD(byte[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Computes the sum of the array and stores the result in a double
sumD(double[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Computes the sum of the array and stores the result in a double
sumD(float[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Computes the sum of the array and stores the result in a double
sumD(int[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Computes the sum of the array and stores the result in a double
sumD(long[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Computes the sum of the array and stores the result in a double
sumD(short[], int, int) - Static method in class org.ddogleg.util.PrimitiveArrays: Computes the sum of the array and stores the result in a double
swap(byte[], int, int) - Static method in class org.ddogleg.util.SwapElement
swap(char[], int, int) - Static method in class org.ddogleg.util.SwapElement
swap(double[], int, int) - Static method in class org.ddogleg.util.SwapElement
swap(float[], int, int) - Static method in class org.ddogleg.util.SwapElement
swap(int[], int, int) - Static method in class org.ddogleg.util.SwapElement
swap(int, int) - Method in class org.ddogleg.struct.FastAccess: Swaps the two elements in the array
swap(long[], int, int) - Static method in class org.ddogleg.util.SwapElement
swap(short[], int, int) - Static method in class org.ddogleg.util.SwapElement
swap(List<T>, int, int) - Static method in class org.ddogleg.util.SwapElement
swap(DogLinkedList.Element<T>, DogLinkedList.Element<T>) - Method in class org.ddogleg.struct.DogLinkedList: Swaps the location of the two elements
swapCandidateWithBest() - Method in class org.ddogleg.fitting.modelset.ransac.Ransac.TrialHelper: Turns the current candidates into the best ones.
SwapElement - Class in org.ddogleg.util: Convenience class for swapping elements in arrays and lists.
SwapElement() - Constructor for class org.ddogleg.util.SwapElement
swapModels() - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares.TrialHelper

T

tail() - Method in class org.ddogleg.struct.CircularArray_F32: Value of the last element in the queue
tail() - Method in class org.ddogleg.struct.CircularArray_F64: Value of the last element in the queue
tail() - Method in class org.ddogleg.struct.CircularArray_I32: Value of the last element in the queue
tail() - Method in class org.ddogleg.struct.CircularArray: Value of the last element in the queue
targetClass - Variable in class org.ddogleg.struct.RecycleManager
thresholdFit - Variable in class org.ddogleg.fitting.modelset.ransac.Ransac
thresholdFit - Variable in class org.ddogleg.fitting.modelset.ransac.RansacMulti.ObjectType: how close a point needs to be considered part of the model
tmp_p - Variable in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64
toArray() - Method in class org.ddogleg.struct.DogArray_B: Creates a new primitive array which is a copy.
toArray() - Method in class org.ddogleg.struct.DogArray_F32: Creates a new primitive array which is a copy.
toArray() - Method in class org.ddogleg.struct.DogArray_F64: Creates a new primitive array which is a copy.
toArray() - Method in class org.ddogleg.struct.DogArray_I16: Creates a new primitive array which is a copy.
toArray() - Method in class org.ddogleg.struct.DogArray_I32: Creates a new primitive array which is a copy.
toArray() - Method in class org.ddogleg.struct.DogArray_I64: Creates a new primitive array which is a copy.
toArray() - Method in class org.ddogleg.struct.DogArray_I8: Creates a new primitive array which is a copy.
toArray() - Method in class org.ddogleg.struct.DogArrayList
toArray() - Method in class org.ddogleg.struct.FastArrayList
toArray(A[]) - Method in class org.ddogleg.struct.DogArrayList
toArray(A[]) - Method in class org.ddogleg.struct.FastArrayList
toList() - Method in class org.ddogleg.struct.DogArray: Returns a wrapper around FastQueue that allows it to act as a read only list.
toList() - Method in class org.ddogleg.struct.FastAccess: Returns a wrapper around FastQueue that allows it to act as a read only list.
toList() - Method in class org.ddogleg.struct.FastArray: Returns a wrapper around FastQueue that allows it to act as a read only list.
tolStep - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
toString() - Method in class org.ddogleg.solver.Polynomial
totalCycles - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: number of times it performs its fit cycle
totalFullSteps - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
totalSelectSteps - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
TrialHelper() - Constructor for class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares.TrialHelper
TrialHelper() - Constructor for class org.ddogleg.fitting.modelset.ransac.Ransac.TrialHelper
trialRNG - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
trialRNG - Variable in class org.ddogleg.fitting.modelset.ransac.Ransac
truncateZeros(double) - Method in class org.ddogleg.solver.Polynomial: Prunes zero coefficients from the end of a sequence.
TrustRegionBase_F64<S extends DMatrix,HM extends HessianMath> - Class in org.ddogleg.optimization.trustregion: Base class for all trust region implementations.
TrustRegionBase_F64(TrustRegionBase_F64.ParameterUpdate<S>, HM) - Constructor for class org.ddogleg.optimization.trustregion.TrustRegionBase_F64
TrustRegionBase_F64.ParameterUpdate<S extends DMatrix> - Interface in org.ddogleg.optimization.trustregion
TrustRegionUpdateCauchy_F64<S extends DMatrix> - Class in org.ddogleg.optimization.trustregion: The Cauchy point is an approximate solution to the Trust Region subproblem.
TrustRegionUpdateCauchy_F64() - Constructor for class org.ddogleg.optimization.trustregion.TrustRegionUpdateCauchy_F64
TrustRegionUpdateDogleg_F64<S extends DMatrix> - Class in org.ddogleg.optimization.trustregion: Approximates the optimal solution to the Trust Region's sub-problem using a piecewise linear approach [1,2].
TrustRegionUpdateDogleg_F64() - Constructor for class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
Tuple2<A,B> - Class in org.ddogleg.struct: Simple data structure for passing a pair of data.
Tuple2() - Constructor for class org.ddogleg.struct.Tuple2
Tuple2(A, B) - Constructor for class org.ddogleg.struct.Tuple2
Tuple3<A,B,C> - Class in org.ddogleg.struct: Simple data structure for passing a triple of data.
Tuple3() - Constructor for class org.ddogleg.struct.Tuple3
Tuple3(A, B, C) - Constructor for class org.ddogleg.struct.Tuple3
Tuple4<A,B,C,D> - Class in org.ddogleg.struct: Simple data structure for passing a quad of data.
Tuple4() - Constructor for class org.ddogleg.struct.Tuple4
Tuple4(A, B, C, D) - Constructor for class org.ddogleg.struct.Tuple4
type - Variable in class org.ddogleg.nn.ConfigNearestNeighborSearch: Which search algorithm
type - Variable in class org.ddogleg.struct.FastAccess

U

UnconLeastSqLevenbergMarquardt_F64<S extends DMatrix> - Class in org.ddogleg.optimization.lm: Implementation of LevenbergMarquardt_F64 for UnconstrainedLeastSquares.
UnconLeastSqLevenbergMarquardt_F64(MatrixMath<S>, HessianLeastSquares<S>) - Constructor for class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
UnconLeastSqLevenbergMarquardtSchur_F64<S extends DMatrix> - Class in org.ddogleg.optimization.lm: Implementation of LevenbergMarquardt_F64 for UnconstrainedLeastSquaresSchur.
UnconLeastSqLevenbergMarquardtSchur_F64(MatrixMath<S>, HessianSchurComplement<S>) - Constructor for class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
UnconLeastSqTrustRegion_F64<S extends DMatrix> - Class in org.ddogleg.optimization.trustregion: Implementations of Trust Region for UnconstrainedLeastSquares.
UnconLeastSqTrustRegion_F64(TrustRegionBase_F64.ParameterUpdate<S>, HessianLeastSquares<S>, MatrixMath<S>) - Constructor for class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
UnconLeastSqTrustRegionSchur_F64<S extends DMatrix> - Class in org.ddogleg.optimization.trustregion: Implementations of UnconstrainedLeastSquaresSchur.
UnconLeastSqTrustRegionSchur_F64(TrustRegionBase_F64.ParameterUpdate<S>, HessianSchurComplement<S>) - Constructor for class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
UnconMinTrustRegionBFGS_F64 - Class in org.ddogleg.optimization.trustregion: Implementations of TrustRegionUpdateCauchy_F64 for UnconstrainedMinimization.
UnconMinTrustRegionBFGS_F64(TrustRegionBase_F64.ParameterUpdate<DMatrixRMaj>, HessianBFGS) - Constructor for class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64
UnconstrainedLeastSquares<S extends DMatrix> - Interface in org.ddogleg.optimization: Non-linear least squares problems have a special structure which can be taken advantage of for optimization.
UnconstrainedLeastSquaresSchur<S extends DMatrix> - Interface in org.ddogleg.optimization: A variant on UnconstrainedLeastSquares for solving large scale systems which can be simplified using the Schur Complement.
UnconstrainedMinimization - Interface in org.ddogleg.optimization: Optimization algorithm which seeks to minimize F(X) ∈ ℜ and X ∈ ℜ^N
undoHessianScalingOnParameters(DMatrixRMaj) - Method in class org.ddogleg.optimization.GaussNewtonBase_F64: Undo scaling on estimated parameters
union(int[], int, int[], int, int, int, DogArray_I32, DogArray_I8) - Static method in class org.ddogleg.util.PrimitiveArrays: Finds the intersection of two sets.
unsafe_get(int) - Method in class org.ddogleg.struct.DogArray_B
unsafe_get(int) - Method in class org.ddogleg.struct.DogArray_F32
unsafe_get(int) - Method in class org.ddogleg.struct.DogArray_F64
unsafe_get(int) - Method in class org.ddogleg.struct.DogArray_I16
unsafe_get(int) - Method in class org.ddogleg.struct.DogArray_I32
unsafe_get(int) - Method in class org.ddogleg.struct.DogArray_I64
unsafe_get(int) - Method in class org.ddogleg.struct.DogArray_I8
unused - Variable in class org.ddogleg.clustering.kmeans.InitializeStandard
unused - Variable in class org.ddogleg.struct.RecycleManager
unusedEdges - Variable in class org.ddogleg.graph.GraphDataManager
unusedNodes - Variable in class org.ddogleg.graph.GraphDataManager
unusedNodes - Variable in class org.ddogleg.nn.alg.KdTreeMemory
unusedTrees - Variable in class org.ddogleg.nn.alg.KdTreeMemory
update(DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianBFGS_DDRM
update(DMatrixRMaj, DMatrixRMaj) - Method in interface org.ddogleg.optimization.math.HessianBFGS: Updates the Hessian using BFGS
update(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ddogleg.optimization.quasinewton.EquationsBFGS: DFP Hessian update equation.
updateDerivates() - Method in class org.ddogleg.optimization.GaussNewtonBase_F64: Computes all the derived data structures and attempts to update the parameters
updateDerivates() - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Computes derived
updateDerivates() - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64: Computes all the derived data structures and attempts to update the parameters
updateDistanceWithNewSeed(LArrayAccessor, P) - Method in class org.ddogleg.clustering.kmeans.InitializePlusPlus_MT: A new seed has been added and the distance from the seeds needs to be updated
updateDistanceWithNewSeed(LArrayAccessor, P) - Method in class org.ddogleg.clustering.kmeans.InitializePlusPlus: A new seed has been added and the distance from the seeds needs to be updated
updateHessian(DMatrixRMaj) - Method in class org.ddogleg.optimization.math.HessianLeastSquares_DDRM
updateHessian(DMatrixSparseCSC) - Method in class org.ddogleg.optimization.math.HessianLeastSquares_DSCC
updateHessian(S) - Method in interface org.ddogleg.optimization.math.HessianLeastSquares
updateMeans - Variable in class org.ddogleg.clustering.kmeans.StandardKMeans
USE_CONCURRENT - Static variable in class org.ddogleg.DDoglegConcurrency: Used to toggle auto matic switching to concurrent algorithms
used - Variable in class org.ddogleg.clustering.kmeans.InitializeStandard
used - Variable in class org.ddogleg.struct.RecycleManagerL
usedEdges - Variable in class org.ddogleg.graph.GraphDataManager
usedNodes - Variable in class org.ddogleg.graph.GraphDataManager
UtilDouble - Class in org.ddogleg.util
UtilDouble() - Constructor for class org.ddogleg.util.UtilDouble
UtilGaussian - Class in org.ddogleg.stats
UtilGaussian() - Constructor for class org.ddogleg.stats.UtilGaussian
UtilOptimize - Class in org.ddogleg.optimization: Performs common optimization tasks.
UtilOptimize() - Constructor for class org.ddogleg.optimization.UtilOptimize
UtilStatisticsInt - Class in org.ddogleg.stats
UtilStatisticsInt() - Constructor for class org.ddogleg.stats.UtilStatisticsInt

V

valid - Variable in class org.ddogleg.clustering.gmm.GaussianLikelihoodManager.Likelihood
valueAt(byte[], int) - Method in class org.ddogleg.nn.alg.distance.KdTreeEuclideanSq_U8
valueAt(double[], int) - Method in class org.ddogleg.nn.alg.distance.KdTreeEuclideanSq_F64
valueAt(P, int) - Method in interface org.ddogleg.nn.alg.KdTreeDistance: Returns the value of an element in the point
valueOf(String) - Static method in enum class org.ddogleg.clustering.KMeansInitializers: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.ddogleg.fitting.modelset.distance.StatisticalDistance: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.ddogleg.nn.ConfigNearestNeighborSearch.Type: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.ddogleg.optimization.GaussNewtonBase_F64.Mode: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.ddogleg.optimization.quasinewton.ConfigQuasiNewton.LineSearch: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.ddogleg.optimization.quasinewton.SearchStatus: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.ddogleg.solver.RootFinderType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.ddogleg.struct.BigDogGrowth: Returns the enum constant of this class with the specified name.
values() - Static method in enum class org.ddogleg.clustering.KMeansInitializers: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.ddogleg.fitting.modelset.distance.StatisticalDistance: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.ddogleg.nn.ConfigNearestNeighborSearch.Type: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.ddogleg.optimization.GaussNewtonBase_F64.Mode: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.ddogleg.optimization.quasinewton.ConfigQuasiNewton.LineSearch: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.ddogleg.optimization.quasinewton.SearchStatus: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.ddogleg.solver.RootFinderType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.ddogleg.struct.BigDogGrowth: Returns an array containing the constants of this enum class, in the order they are declared.
valueZero - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
variance(DogArray_F64, double) - Static method in class org.ddogleg.stats.StatisticsDogArray
verbose - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
verboseLevel - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
VerbosePrint - Interface in org.ddogleg.struct: Generic interface for implementing verbose output to a PrintStream.
VERSION - Static variable in class org.ddogleg.DDoglegVersion
VP_TREE - Enum constant in enum class org.ddogleg.nn.ConfigNearestNeighborSearch.Type
vptree(long) - Static method in class org.ddogleg.nn.FactoryNearestNeighbor: Vantage point tree implementation for nearest neighbor search.
VpTree - Class in org.ddogleg.nn.alg: Vantage point tree implementation for nearest neighbor search.
VpTree(long) - Constructor for class org.ddogleg.nn.alg.VpTree: Constructor

W

weight - Variable in class org.ddogleg.clustering.gmm.GaussianGmm_F64
weights - Variable in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64.PointInfo
wolfeCondition(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64: Indicates if there's sufficient decrease and curvature.
wrap(double...) - Static method in class org.ddogleg.solver.Polynomial: Wraps the polynomial around the array:
f(x) = c[0] + c[1]*x + ...
WrapExhaustiveNeighbor - Class in org.ddogleg.nn.wrap: Wrapper around ExhaustiveNeighbor for NearestNeighbor
WrapExhaustiveNeighbor(KdTreeDistance) - Constructor for class org.ddogleg.nn.wrap.WrapExhaustiveNeighbor
WrapRealRootsSturm - Class in org.ddogleg.solver.impl: Wrapper around FindRealRootsSturm for PolynomialRoots.
WrapRealRootsSturm(FindRealRootsSturm) - Constructor for class org.ddogleg.solver.impl.WrapRealRootsSturm

X

x - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
x_next - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64

Z

zero() - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64: Sets the mean, covariance, and weight to zero
zero() - Method in class org.ddogleg.solver.Polynomial
zero() - Method in class org.ddogleg.struct.DogArray_B
zero() - Method in class org.ddogleg.struct.DogArray_F32
zero() - Method in class org.ddogleg.struct.DogArray_F64
zero() - Method in class org.ddogleg.struct.DogArray_I16
zero() - Method in class org.ddogleg.struct.DogArray_I32
zero() - Method in class org.ddogleg.struct.DogArray_I64
zero() - Method in class org.ddogleg.struct.DogArray_I8
zero() - Method in interface org.ddogleg.struct.DogArrayPrimitive: Sets all elements to 0 or False for binary queues
zeros(int) - Static method in class org.ddogleg.struct.DogArray_B: Creates a queue with the specified length as its size filled with false
zeros(int) - Static method in class org.ddogleg.struct.DogArray_F32: Creates a queue with the specified length as its size filled with all zeros
zeros(int) - Static method in class org.ddogleg.struct.DogArray_F64: Creates a queue with the specified length as its size filled with all zeros
zeros(int) - Static method in class org.ddogleg.struct.DogArray_I16: Creates a queue with the specified length as its size filled with all zeros
zeros(int) - Static method in class org.ddogleg.struct.DogArray_I32: Creates a queue with the specified length as its size filled with all zeros
zeros(int) - Static method in class org.ddogleg.struct.DogArray_I64: Creates a queue with the specified length as its size filled with all zeros
zeros(int) - Static method in class org.ddogleg.struct.DogArray_I8: Creates a queue with the specified length as its size filled with all zeros

_

_findClosest(P) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchBestBinFirst

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