Index (ddogleg 1.0.0 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.chainrule.CRArray: Reference to the array
a - Variable in class org.ddogleg.combinatorics.Combinations
acceptNewState(boolean, double) - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64
acceptNewState(boolean, double) - Method in class org.ddogleg.optimization.trustregion.TrustRegionLeastSqBase_F64
acceptNewState(double) - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: The new state has been accepted.
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...) - Method in class org.ddogleg.struct.DogArray_F64
add(double, 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(float...) - Method in class org.ddogleg.struct.DogArray_F32
add(float, 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.CircularArray_I8: 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...) - 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, int) - Method in class org.ddogleg.struct.DogArray_I16
add(int, int) - Method in class org.ddogleg.struct.DogArray_I32
add(int, 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.CircularArray_I64: Adds a new element to the queue.
add(long) - Method in class org.ddogleg.struct.DogArray_I64
add(long...) - Method in class org.ddogleg.struct.DogArray_I64
add(long, long) - Method in class org.ddogleg.struct.DogArray_I64
add(CROperatorBackwardsJac) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Adds a new operation to the chain and internally creates a block
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) - Method in class org.ddogleg.struct.DogArrayList
addAll(int, Collection) - 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) - Method in class org.ddogleg.struct.DogArrayList
addAll(Collection) - Method in class org.ddogleg.struct.FastArrayList
addAll(Collection) - Method in class org.ddogleg.struct.FastArray
addAll(List) - Method in class org.ddogleg.struct.DogLinkedList: Add all elements in list into this linked list
addAll(List) - 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) - 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.
addJacobian(int, CRMatrix) - Method in interface org.ddogleg.chainrule.JacobianSerialChain.AddToJacobian
addMatrixToJacobian(int, int, double[], int, int) - Method in interface org.ddogleg.optimization.LeastSquaresSwitcher.JacobianOut: Adds the local matrix into the system Jacobian.
addMean(double[], double) - Method in class org.ddogleg.clustering.gmm.GaussianGmm_F64: Helper function for computing Gaussian parameters.
addMovingCapture(Sym, int, int, IntSupplier) - Method in class org.ddogleg.chainrule.sym.SymFunction: Declares an input whose Jacobian column moves as the evaluation walks, published from the supplier when the entry is captured.
addPrefix(VerbosePrint, int, PrintStream) - Static method in class org.ddogleg.util.VerboseUtils
addPrefix(VerbosePrint, PrintStream) - Static method in class org.ddogleg.util.VerboseUtils
addSelect(DogArray_I32, int, List, List) - Static method in class org.ddogleg.fitting.modelset.ransac.Ransac: Adds the selected elements to the initialSample list and undoes the shuffling.
addTo(CRMatrix, CRMatrix) - Method in class org.ddogleg.chainrule.MathCRMatrixD
addTo(CRMatrix, CRMatrix) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Adds src into dst.
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(int) - Method in class org.ddogleg.struct.CircularArray_I8: Adds a new element to the queue, but if the queue is full write over the oldest element.
addW(long) - Method in class org.ddogleg.struct.CircularArray_I64: 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.
AdjustArray_F64 - Interface in org.ddogleg.optimization: Lambda intended to be used to adjust the value of an array.
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
alpha - Variable in class org.ddogleg.optimization.loss.LossCauchy
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.
APPLY - Enum constant in enum class org.ddogleg.chainrule.sym.Sym.Kind
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
arrayD(double...) - Static method in class org.ddogleg.chainrule.CRArray
arrayIndex(int) - Method in class org.ddogleg.struct.CircularArrayBase: Converts circular index into the inner array index
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) - 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.
at(Sym) - Method in class org.ddogleg.chainrule.sym.SymGrid: The field position the grid is read at, an expression producing a pixel
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

b(int) - Method in class org.ddogleg.chainrule.CRArray: Array access for type byte
b(int, byte) - Method in class org.ddogleg.chainrule.CRArray: Array access for type double
b(int, int) - Method in class org.ddogleg.chainrule.CRMatrix: Array access for type byte
b(int, int, byte) - Method in class org.ddogleg.chainrule.CRMatrix: Array access for type double
backwards(int) - Method in class org.ddogleg.chainrule.JacobianChainGraph: Computes the Jacobian of every parameter in the graph.
backwards(int) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Performs backwards pass and computes Jacobians for each operator in the chain.
backwardsF(int, CRArray) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Same as JacobianSerialChain.backwards(int), except that it runs a forward pass to get the inputs then runs the backwards pass to compute Jacobians.
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, DProcess) - Constructor for class org.ddogleg.struct.BigDogArray
BigDogArray(Factory) - Constructor for class org.ddogleg.struct.BigDogArray
BigDogArray(Factory, DProcess) - 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, BigDogArrayBase.AssignNewArrayElements) - 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
blendPoly(double, int) - Method in class org.ddogleg.chainrule.grid.GridNdHelper: Blends the four knots for one output.
blendPolyDeriv(double, int) - Method in class org.ddogleg.chainrule.grid.GridNdHelper: Derivative of GridNdHelper.blendPoly(double, int) with respect to the value
blendSpline(double, int) - Method in class org.ddogleg.chainrule.grid.GridNdHelper: GridNdHelper.blendPoly(double, int) with the knots read as splines instead
block(int) - Method in class org.ddogleg.chainrule.JacobianSerialChain.Chain: Returns the block at the specified index.
Block() - Constructor for class org.ddogleg.chainrule.JacobianSerialChain.Block
blockArrayLength(int) - Method in class org.ddogleg.struct.BigDogArrayBase
blockInputSize(int, int) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Size of first input to the specified block in the chain
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
bound - Variable in class org.ddogleg.chainrule.sym.Sym: Which expression feeds each input slot, by the operator's own input index
bracket() - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86: Searches for an upper bound.
bucket - Variable in class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND: Which bucket the lower extent is in
bucketFrac1 - Variable in class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND: The weight assigned to the upper end of the bucket.
build(Sym) - Method in class org.ddogleg.chainrule.sym.SymGraphBuilder: Compiles the expression rooted at root and returns the runnable function
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(double) - Static method in class org.ddogleg.optimization.FactoryLossFunctions
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.
CAUCHY - Enum constant in enum class org.ddogleg.optimization.ConfigLoss.Type
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
cellIndex(double, int) - Static method in class org.ddogleg.chainrule.grid.ConfigGridCoefND: Cell a fractional grid coordinate falls in.
centerError - Variable in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
chain(int) - Method in class org.ddogleg.chainrule.JacobianChainGraph.GraphConstructor: Declares a chain to be part of the graph.
chain(int...) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Creates a new chain that can be invoked later on.
Chain() - Constructor for class org.ddogleg.chainrule.JacobianSerialChain.Chain
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
checkConfig() - Method in class org.ddogleg.optimization.ConfigGaussNewton: Checks to see if the config is valid and throws an excepton if not
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.
checkFtol(double) - Static method in class org.ddogleg.optimization.ConfigGaussNewton
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
checkValid() - Method in class org.ddogleg.chainrule.grid.ConfigGridCoefND: Makes sure valid values have been entered for all parameters.
checkValid() - Method in class org.ddogleg.chainrule.grid.ConfigGridSplineND: Makes sure valid values have been entered for all parameters
checkValid(int) - Method in class org.ddogleg.chainrule.grid.ConfigGridCoefND: ConfigGridCoefND.checkValid() with the per-axis knot minimum given.
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) - Constructor for class org.ddogleg.struct.CircularArray
CircularArray(Class, 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_F32.Match - Interface in org.ddogleg.struct
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_F64.Match - Interface in org.ddogleg.struct
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
CircularArray_I32.Match - Interface in org.ddogleg.struct
CircularArray_I64 - Class in org.ddogleg.struct: A circular array for primitive type long which can grow as needed.
CircularArray_I64() - Constructor for class org.ddogleg.struct.CircularArray_I64
CircularArray_I64(int) - Constructor for class org.ddogleg.struct.CircularArray_I64
CircularArray_I64.Match - Interface in org.ddogleg.struct
CircularArray_I8 - Class in org.ddogleg.struct: A circular array for primitive type long which can grow as needed.
CircularArray_I8() - Constructor for class org.ddogleg.struct.CircularArray_I8
CircularArray_I8(int) - Constructor for class org.ddogleg.struct.CircularArray_I8
CircularArray_I8.Match - Interface in org.ddogleg.struct
CircularArrayBase - Class in org.ddogleg.struct: Base class for Circular Arrays
CircularArrayBase() - Constructor for class org.ddogleg.struct.CircularArrayBase
clampLower(Sym, int, double) - Static method in class org.ddogleg.chainrule.sym.SymOps: Holds a value at or above a floor, for feeding something that cannot accept what a solver might step to
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
coefDeriv - Variable in class org.ddogleg.chainrule.ops.CROperatorBilinearND: Derivative with respect to each coefficient of a knot, filled by CROperatorBilinearND.functionDerivatives(double[])
coefs - Variable in class org.ddogleg.chainrule.grid.ConfigGridCoefND: Number of coefficients in each output polynomial
col - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Grid coordinate point is inside
cols - Variable in class org.ddogleg.chainrule.CRMatrix: Rows and columns in the 2D matrix
cols - Variable in class org.ddogleg.chainrule.grid.ConfigGridCoefND: Number of columns and rows in the grid, padding included
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, 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.
computeCostAtInitialization() - Method in class org.ddogleg.optimization.trustregion.TrustRegionBase_F64: This function was created for least squares which requires special set up due to the Loss function
computeCostAtInitialization() - Method in class org.ddogleg.optimization.trustregion.TrustRegionLeastSqBase_F64
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: Computes the Hessian in block form
computeHessian(DMatrixSparseCSC, DMatrixSparseCSC) - Method in class org.ddogleg.optimization.math.HessianSchurComplement_DSCC: Computes 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.
computeInliers(List, int, LeastMedianOfSquares.TrialHelper) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Computes the inlier set for the best model using LeastMedianOfSquares.inlierFraction or LeastMedianOfSquares.inlierRouseeuwSigma
computeInliersFromFraction(List, int, LeastMedianOfSquares.TrialHelper) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Selects the LeastMedianOfSquares.inlierFraction of points with the smallest error.
computeInliersFromSigma(List, int, LeastMedianOfSquares.TrialHelper) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Computes inlier using Rousseeuw's reweighting.
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.
computeOp - Variable in class org.ddogleg.optimization.loss.LossIRLS: Function that's called when the weights need to be updated.
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
concat(Sym...) - Static method in class org.ddogleg.chainrule.sym.SymOps: Joins residual groups into one row block, in argument order
concurrentWork - Variable in class org.ddogleg.optimization.math.HessianLeastSquares_DSCC
config - Variable in class org.ddogleg.chainrule.grid.GridCoefND: Shape of the grid.
config - Variable in class org.ddogleg.chainrule.sym.SymGrid
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
ConfigGridCoefND - Class in org.ddogleg.chainrule.grid: Configuration for a polynomial grid where each cell in the grid has a numOut polynomials with coefs coefficients each.
ConfigGridCoefND() - Constructor for class org.ddogleg.chainrule.grid.ConfigGridCoefND
ConfigGridSplineND - Class in org.ddogleg.chainrule.grid: Extends ConfigGridCoefND to include min and max values needed by the spline to define its range.
ConfigGridSplineND() - Constructor for class org.ddogleg.chainrule.grid.ConfigGridSplineND
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
ConfigLoss - Class in org.ddogleg.optimization: Configuration for built in Loss Functions.
ConfigLoss() - Constructor for class org.ddogleg.optimization.ConfigLoss
ConfigLoss(ConfigLoss.Type) - Constructor for class org.ddogleg.optimization.ConfigLoss
ConfigLoss(ConfigLoss.Type, double) - Constructor for class org.ddogleg.optimization.ConfigLoss
ConfigLoss.Type - Enum Class in org.ddogleg.optimization
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
ConfigNonLinearLeastSquares - Class in org.ddogleg.optimization: General configuration for unconstrained non-linear least squares solvers.
ConfigNonLinearLeastSquares() - Constructor for class org.ddogleg.optimization.ConfigNonLinearLeastSquares
ConfigNonLinearLeastSquares.Type - Enum Class in org.ddogleg.optimization
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(double) - Method in class org.ddogleg.chainrule.GradientNumerical_F64
configure(double) - Method in interface org.ddogleg.chainrule.GradientNumerical: Overrides default settings for computing numerical gradient.
configure(double) - Method in class org.ddogleg.chainrule.JacobianNumerical_F64
configure(double) - Method in interface org.ddogleg.chainrule.JacobianNumerical: Overrides default settings for computing numerical gradient.
configure(int) - Method in class org.ddogleg.chainrule.ops.CROperatorClampLower: Changes how many values it holds, which the settings do when one operator is made to match another
configure(int) - Method in class org.ddogleg.chainrule.ops.CRPenaltyL2
configure(int...) - Method in class org.ddogleg.chainrule.ops.CROperatorConcat
configure(int, int, ConfigGridCoefND) - Method in class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights
configure(Consumer) - Method in class org.ddogleg.chainrule.grid.ConfigGridSplineND
configure(ConfigGridCoefND) - Method in class org.ddogleg.chainrule.grid.GridCoefND: Sets the shape and sizes the coefficients to match, leaving them at zero
configure(ConfigGridCoefND) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearPolyND
configure(ConfigGridCoefND, int) - Method in class org.ddogleg.chainrule.grid.GridCoefND: GridCoefND.configure(ConfigGridCoefND) with the per-axis knot minimum given, so a nearest-neighbor field can store a 1x1 grid
configure(ConfigGridSplineND) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND
configure(GridCoefND, int, int) - Method in class org.ddogleg.chainrule.grid.GridNdHelper
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
configureGrid(ConfigGridCoefND) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND: Copies grid into internal fields
configureSpline(double, double) - Method in class org.ddogleg.chainrule.grid.GridNdHelper: Range the *Spline methods spread a knot's coefficients across.
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.
CONST - Enum constant in enum class org.ddogleg.chainrule.sym.Sym.Kind
constant(double...) - Static method in class org.ddogleg.chainrule.sym.Sym
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 invalid input: '<'= than this amount.
coorToGrid(double, double) - Method in class org.ddogleg.chainrule.grid.GridNdHelper
copy() - Method in class org.ddogleg.chainrule.CRArray: Creates a copy of the original array and this wrapper.
copy() - Method in class org.ddogleg.chainrule.CRMatrix: Creates a copy of the original array and this wrapper.
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: Deprecated.
copy() - Method in class org.ddogleg.optimization.trustregion.ConfigTrustRegion: Deprecated.
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.CircularArray_I32
copy() - Method in class org.ddogleg.struct.CircularArray_I64
copy() - Method in class org.ddogleg.struct.CircularArray_I8
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, DogArray.Set) - Method in class org.ddogleg.struct.DogArray: Grows the array and adds all the items in list.
copyIntoList(List) - 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.TrustRegionLeastSqBase_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_B.Filter) - Method in class org.ddogleg.struct.DogArray_B
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) - 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> - Interface in org.ddogleg.optimization.functions
covariance - Variable in class org.ddogleg.clustering.gmm.GaussianGmm_F64
CRArray<A> - Class in org.ddogleg.chainrule: References an index in an array.
CRArray() - Constructor for class org.ddogleg.chainrule.CRArray
CRArray(A, int) - Constructor for class org.ddogleg.chainrule.CRArray
create(int) - Method in interface org.ddogleg.struct.BigDogArrayBase.NewArray
create(int, Class) - Static method in class org.ddogleg.chainrule.FactoryCRArray
createArray(int) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Allocates a new array with the specified length
createArray(int) - Method in class org.ddogleg.chainrule.MathCRMatrixD
createD(int, int) - Static method in class org.ddogleg.chainrule.CRMatrix
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
createMatrix(int, int) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Creates a new matrix with the specified shape
createMatrix(int, int) - Method in class org.ddogleg.chainrule.MathCRMatrixD
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
CRErrorHuberNorm - Class in org.ddogleg.chainrule.ops: This is a Huber Loss function adapted to return the error and is triggered based on the F-Norm of the error vector instead of individual elements.
CRErrorHuberNorm() - Constructor for class org.ddogleg.chainrule.ops.CRErrorHuberNorm
CRErrorHuberNorm(int, double) - Constructor for class org.ddogleg.chainrule.ops.CRErrorHuberNorm
CRErrorVectorSW - Class in org.ddogleg.chainrule.ops: Computes the error between a known prior and an estimated value.
CRErrorVectorSW(int) - Constructor for class org.ddogleg.chainrule.ops.CRErrorVectorSW
CRErrorVectorSW(int, double) - Constructor for class org.ddogleg.chainrule.ops.CRErrorVectorSW
CRLossHuber - Class in org.ddogleg.chainrule.ops: Huber Loss is a robust loss function that is less sensitive to outliers than the squared error loss.
CRLossHuber() - Constructor for class org.ddogleg.chainrule.ops.CRLossHuber
CRLossHuber(int, double) - Constructor for class org.ddogleg.chainrule.ops.CRLossHuber
CRMatrix<A> - Class in org.ddogleg.chainrule: References an index in an array that represents a 2D matrix.
CRMatrix() - Constructor for class org.ddogleg.chainrule.CRMatrix
CRMatrix(A, int, int, int) - Constructor for class org.ddogleg.chainrule.CRMatrix
CROperatorBackwardsGrad<T> - Interface in org.ddogleg.chainrule: Computes the gradient in the backwards direction and is used when optimizing.
CROperatorBackwardsJac<T> - Interface in org.ddogleg.chainrule: Computes the Jacobian in the backwards direction and is used when optimizing.
CROperatorBilinearND - Class in org.ddogleg.chainrule.ops: General purpose operator for blending 4 knots into an N-D output, each knot stores N-coefficients for a yet to be defined function.
CROperatorBilinearND() - Constructor for class org.ddogleg.chainrule.ops.CROperatorBilinearND
CROperatorBilinearPolyND - Class in org.ddogleg.chainrule.ops: Implementation of CROperatorBilinearND where the knots are general polynomials.
CROperatorBilinearPolyND() - Constructor for class org.ddogleg.chainrule.ops.CROperatorBilinearPolyND
CROperatorBilinearSplineND - Class in org.ddogleg.chainrule.ops: Implementation of CROperatorBilinearND where the knots are also splines which use linear interpolation.
CROperatorBilinearSplineND() - Constructor for class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND
CROperatorClampLower - Class in org.ddogleg.chainrule.ops: Holds a value at or above a floor: output = max(input, minimum).
CROperatorClampLower(int, double) - Constructor for class org.ddogleg.chainrule.ops.CROperatorClampLower
CROperatorConcat - Class in org.ddogleg.chainrule.ops: Concatenates its inputs into one output, in the order they were declared.
CROperatorConcat(int...) - Constructor for class org.ddogleg.chainrule.ops.CROperatorConcat
CROperatorDivide - Class in org.ddogleg.chainrule.ops: Element-wise division of two vectors
CROperatorDivide(int) - Constructor for class org.ddogleg.chainrule.ops.CROperatorDivide
CROperatorDivideVS - Class in org.ddogleg.chainrule.ops: Divides a vector by a scalar value.
CROperatorDivideVS(int) - Constructor for class org.ddogleg.chainrule.ops.CROperatorDivideVS
CROperatorDivideVSDamped - Class in org.ddogleg.chainrule.ops: Divides a vector by a damped scalar: a[i]/(beta + b).
CROperatorDivideVSDamped(int, double) - Constructor for class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped
CROperatorForward<T> - Interface in org.ddogleg.chainrule: Operator in forward direction.
CROperatorGridBilinearWeights - Class in org.ddogleg.chainrule.ops: Turns a pixel into the 4 bilinear weights of the cell it lands in, ready to be blended by CROperatorBilinearPolyND.
CROperatorGridBilinearWeights() - Constructor for class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights
CROperatorMeanVector - Class in org.ddogleg.chainrule.ops: Mean of count values read at a fixed stride from one input vector.
CROperatorMeanVector(int, int) - Constructor for class org.ddogleg.chainrule.ops.CROperatorMeanVector
CROperatorMult - Class in org.ddogleg.chainrule.ops: Element-wise multiplication of two vectors
CROperatorMult(int) - Constructor for class org.ddogleg.chainrule.ops.CROperatorMult
CROperatorMultVS - Class in org.ddogleg.chainrule.ops: Multiplies a vector by a scalar value.
CROperatorMultVS(int) - Constructor for class org.ddogleg.chainrule.ops.CROperatorMultVS
CROperatorPlus - Class in org.ddogleg.chainrule.ops: Adds two arrays of equal length together.
CROperatorPlus(int) - Constructor for class org.ddogleg.chainrule.ops.CROperatorPlus
CROperatorPlusAB - Class in org.ddogleg.chainrule.ops: Adds two vectors with scalar coefficients: 'output = alphaV0 + betaV1'
CROperatorPlusAB(int) - Constructor for class org.ddogleg.chainrule.ops.CROperatorPlusAB
CROperatorRemapParams - Class in org.ddogleg.chainrule.ops: Remaps parameters from an input format into an output format.
CROperatorRemapParams(int, int...) - Constructor for class org.ddogleg.chainrule.ops.CROperatorRemapParams: Constructor which specifies how the remapping is done.
CRPenaltyL2 - Class in org.ddogleg.chainrule.ops: Penalizes a contiguous run of parameters, one residual per parameter, each weight*value.
CRPenaltyL2() - Constructor for class org.ddogleg.chainrule.ops.CRPenaltyL2
CRPenaltyL2(int) - Constructor for class org.ddogleg.chainrule.ops.CRPenaltyL2
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

d(int) - Method in class org.ddogleg.chainrule.CRArray: Array access for type double
d(int, double) - Method in class org.ddogleg.chainrule.CRArray: Array access for type double
d(int, int) - Method in class org.ddogleg.chainrule.CRMatrix: Array access for type double
d(int, int, double) - Method in class org.ddogleg.chainrule.CRMatrix: Array access for type double
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.chainrule.CRMatrix: Reference to the array
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_I64: Internal array that stores elements
data - Variable in class org.ddogleg.struct.CircularArray_I8: Internal array that stores elements
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 build version information.
DDRM(SchurJacobian) - 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.
def(double...) - Method in class org.ddogleg.chainrule.ops.CROperatorRemapParams: Shorthand for CROperatorRemapParams.setDefaultValues(double...)
DEFAULT_BLOCK_SIZE - Static variable in class org.ddogleg.struct.BigDogArrayBase: Default block size.
depMid(int, int, int, int, int) - Method in class org.ddogleg.chainrule.JacobianChainGraph.GraphConstructor: Specifies a dependency where output is taken from any block inside the source chain and placed into an input in any block in the output chain
depOut(int, int, int) - Method in class org.ddogleg.chainrule.JacobianChainGraph.GraphConstructor: Specifies a simple dependency where the output from the source chain feeds into the first block in the destination chain.
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
diag(double, CRMatrix) - Method in class org.ddogleg.chainrule.MathCRMatrixD
diag(double, CRMatrix) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Fills the diagonal elements with the specified value
diagonalMax - Variable in class org.ddogleg.optimization.lm.ConfigLevenbergMarquardt: Clamps the diagonal values of J'*J when constructing the LM formula.
diagonalMin - 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
differentiate(CRArray, List) - Method in class org.ddogleg.chainrule.GradientNumerical_F64
differentiate(CRArray, List) - Method in interface org.ddogleg.chainrule.GradientNumerical: Performs numerical differentiation to compute the gradients of input and parameters.
differentiate(CRMatrix, List) - Method in class org.ddogleg.chainrule.JacobianNumerical_F64
differentiate(CRMatrix, List) - Method in interface org.ddogleg.chainrule.JacobianNumerical: Performs numerical differentiation to compute the gradients of input and parameters.
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, 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(Sym, Sym) - Static method in class org.ddogleg.chainrule.sym.SymOps: vectorA / vectorB: element-wise division between the two vectors
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
divideDamped(Sym, Sym, double) - Static method in class org.ddogleg.chainrule.sym.SymOps: vector ./ (beta + scalar): divide each element by a damped scalar.
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
divideVS(Sym, Sym) - Static method in class org.ddogleg.chainrule.sym.SymOps: vector ./ scalar: divide each element in vector by scalar
dof() - Method in class org.ddogleg.chainrule.grid.ConfigGridCoefND: Number of parameters needed to describe this polynomial grid
DogArray<T> - Class in org.ddogleg.struct: Growable array which automatically creates, recycles, and resets its elements.
DogArray(int, Factory) - Constructor for class org.ddogleg.struct.DogArray: Constructor which allows new instances to be created using a lambda
DogArray(Class, Factory) - Constructor for class org.ddogleg.struct.DogArray: Constructor which allows new instances to be created using a lambda
DogArray(Factory) - 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, DProcess) - Constructor for class org.ddogleg.struct.DogArray: User provided factory function and reset function.
DogArray(Factory, DProcess, DProcess) - 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.Filter - Interface in org.ddogleg.struct
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) - Constructor for class org.ddogleg.struct.DogArrayList
DogArrayList.MyIterator - Class in org.ddogleg.struct
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.FactoryOptimization: Creates a dense trust region least-squares optimization using dogleg steps.
dogleg(ConfigTrustRegion) - Static method in class org.ddogleg.optimization.FactoryOptimizationSparse: Creates a sparse trust region 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(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) - 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
elementCount() - Method in class org.ddogleg.chainrule.CRMatrix: Number of elements in the matrix
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
estimated - Variable in class org.ddogleg.chainrule.ops.CRErrorVectorSW: input[0] the estimated value
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
evaluate(int, int) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND: Values the specified polynomial encoded in the knot using value.
evaluate(int, int) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearPolyND: Values the specified polynomial encoded in the knot using value.
evaluate(int, int) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND: Values the specified polynomial encoded in the knot using value.
evaluateDerivative(int, int) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND: Derivative of CROperatorBilinearND.evaluate(int, int) with respect to value
evaluateDerivative(int, int) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearPolyND: Derivative of CROperatorBilinearPolyND.evaluate(int, int) with respect to value
evaluateDerivative(int, int) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND: Piecewise linear, so this is the bucket's slope.
evaluatePoly(double, int) - Method in class org.ddogleg.chainrule.grid.GridNdHelper: Evaluates a polynomial which starts at the offset
evaluatePolyDeriv(double, int) - Method in class org.ddogleg.chainrule.grid.GridNdHelper: Derivative of GridNdHelper.evaluatePoly(double, int) with respect to the value
evaluateSpline(double, int) - Method in class org.ddogleg.chainrule.grid.GridNdHelper: Evaluates a spline which starts at the offset.
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.
extension - Variable in class org.ddogleg.chainrule.sym.Sym: Set when the node needs hooks of its own, e.g.
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(int) - Method in class org.ddogleg.chainrule.CRArray: Array access for type float
f(int, float) - Method in class org.ddogleg.chainrule.CRArray: Array access for type double
f(int, int) - Method in class org.ddogleg.chainrule.CRMatrix: Array access for type float
f(int, int, float) - Method in class org.ddogleg.chainrule.CRMatrix: Array access for type double
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
FactoryCRArray - Class in org.ddogleg.chainrule
FactoryCRArray() - Constructor for class org.ddogleg.chainrule.FactoryCRArray
FactoryLossFunctions - Class in org.ddogleg.optimization: Factory for creating different LossFunction and LossFunctionGradient.
FactoryLossFunctions() - Constructor for class org.ddogleg.optimization.FactoryLossFunctions
FactoryLossFunctions.Funcs - Class in org.ddogleg.optimization
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) - 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) - Constructor for class org.ddogleg.struct.FastArray
FastArray(Class, 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) - Constructor for class org.ddogleg.struct.FastArrayList
FastArrayList.MyIterator - Class in org.ddogleg.struct
feed(Sym) - Method in class org.ddogleg.chainrule.sym.SymFunction: Binds the terminal to a freshly allocated array of its declared size.
feed(Sym, double[]) - Method in class org.ddogleg.chainrule.sym.SymFunction: Binds the terminal to the caller's own storage.
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) - 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
fill(CRMatrix, double) - Method in class org.ddogleg.chainrule.MathCRMatrixD
fill(CRMatrix, double) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Fills every element with the specified value
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) - Method in class org.ddogleg.struct.FastAccess: Same as FastAccess.findAll(List, FastAccess.FunctionMatches) but returns a new list.
find(FastAccess.FunctionMatches) - 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, FastAccess.FunctionMatches) - Method in class org.ddogleg.struct.FastAccess: Finds the indexes of all elements which match.
findAllIdx(DogArray_I32, FastAccess.FunctionMatches) - 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) - 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) - Method in interface org.ddogleg.nn.NearestNeighbor.Search: Searches for the N nearest neighbor to the specified point.
findNearest(P, double, int, DogArray) - 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) - Method in interface org.ddogleg.nn.alg.KdTreeSearchN: Searches for the N nearest-neighbors to the target.
findNeighbor(P, int, DogArray) - Method in class org.ddogleg.nn.alg.searches.KdTreeSearchNBbf
findNeighbor(P, int, DogArray) - 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, 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
fixate() - Method in class org.ddogleg.chainrule.JacobianChainGraph.GraphConstructor: Creates the graph and verifies its structure
fixate(double[]) - Method in interface org.ddogleg.optimization.loss.LossFunction: Passes in the current residuals at the start of an iteration.
fixate(double[]) - Method in class org.ddogleg.optimization.loss.LossIRLS
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) - Method in class org.ddogleg.struct.BigDogArray: Simulates a for-each loop.
forEach(int, int, FastAccess.FunctionEach) - 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) - 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) - Method in class org.ddogleg.struct.BigDogArray: Simulates a for-each loop.
forIdx(int, int, FastAccess.FunctionEachIdx) - 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) - Method in class org.ddogleg.struct.FastAccess: The passed in function is called once for each element in the list
format(MatrixPrintFormat) - Method in class org.ddogleg.struct.DogArray_B: Customizable formatting that prints the array out like a Matrix.
format(MatrixPrintFormat) - Method in class org.ddogleg.struct.DogArray_F32: Customizable formatting that prints the array out like a Matrix.
format(MatrixPrintFormat) - Method in class org.ddogleg.struct.DogArray_F64: Customizable formatting that prints the array out like a Matrix.
format(MatrixPrintFormat) - Method in class org.ddogleg.struct.DogArray_I16: Converts array into a string using the row format in a matrix
format(MatrixPrintFormat) - Method in class org.ddogleg.struct.DogArray_I32: Customizable formatting that prints the array out like a Matrix.
format(MatrixPrintFormat) - Method in class org.ddogleg.struct.DogArray_I64: Customizable formatting that prints the array out like a Matrix.
format(MatrixPrintFormat) - Method in class org.ddogleg.struct.DogArray_I8: Customizable formatting that prints the array out like a Matrix.
formatMap(MapPrintFormat) - Method in class org.ddogleg.chainrule.grid.ConfigGridCoefND
formatMap(MapPrintFormat) - Method in class org.ddogleg.chainrule.grid.ConfigGridSplineND
forward(int) - Method in class org.ddogleg.chainrule.JacobianChainGraph: Used to run the graph in forward direction.
forward(int, CRArray, CRArray) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Performs the chain in the forward directly while saving all the intermediate inputs in JacobianSerialChain.savedInputs array
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CRLossHuber
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorClampLower
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorConcat
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorDivide
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVS
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorMeanVector
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorMult
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorMultVS
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorPlus
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorPlusAB
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorRemapParams
forward(CRArray) - Method in class org.ddogleg.chainrule.ops.CRPenaltyL2
forward(CRArray) - Method in interface org.ddogleg.chainrule.CROperatorForward: Performs forward pass of the function.
forward(CRArray) - Method in class org.ddogleg.chainrule.JacobianSerialChain.Block: Calls the forward function and handles bookkeeping
Forward() - Constructor for class org.ddogleg.chainrule.JacobianChainGraph.Forward
fp - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
fprev - Variable in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
fracCol - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Fractional coordinate inside the grid cell
fracRow - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Fractional coordinate inside the grid cell
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.
Funcs() - Constructor for class org.ddogleg.optimization.FactoryLossFunctions.Funcs
function - Variable in class org.ddogleg.optimization.FactoryLossFunctions.Funcs
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
Function() - Constructor for class org.ddogleg.optimization.loss.LossIdentity.Function
Function() - Constructor for class org.ddogleg.optimization.loss.LossSquared.Function
Function(double) - Constructor for class org.ddogleg.optimization.loss.LossCauchy.Function
Function(double) - Constructor for class org.ddogleg.optimization.loss.LossHuber.Function
Function(double) - Constructor for class org.ddogleg.optimization.loss.LossHuberSmooth.Function
Function(double) - Constructor for class org.ddogleg.optimization.loss.LossTukey.Function
functionDerivatives(double[]) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND: Derivative of CROperatorBilinearND.evaluate(int, int) with respect to each of a knot's coefficients for one output.
functionDerivatives(double[]) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearPolyND: A coefficient's derivative is its power of value
functionDerivatives(double[]) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND: Only the two samples bracketing the value contribute, and they contribute their interpolation weights.
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) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
functionGradientHessian(DMatrixRMaj, boolean, DMatrixRMaj, HessianLeastSquares) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
functionGradientHessian(DMatrixRMaj, boolean, DMatrixRMaj, HessianSchurComplement) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
functionGradientHessian(DMatrixRMaj, boolean, DMatrixRMaj, HessianSchurComplement) - 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> - 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.TrustRegionLeastSqBase_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) - 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,HM> - 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
general(ConfigLoss) - Static method in class org.ddogleg.optimization.FactoryLossFunctions: Create the loss function from a config.
generate(List, 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_I64: Returns the element in the queue at index.
get(int) - Method in class org.ddogleg.struct.CircularArray_I8: 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
get(int, boolean[], int, int) - Method in class org.ddogleg.struct.DogArray_B: Copies a sequence of values into the specified array
get(int, byte[], int, int) - Method in class org.ddogleg.struct.DogArray_I8: Copies a sequence of values into the specified array
get(int, double[], int, int) - Method in class org.ddogleg.struct.DogArray_F64: Copies a sequence of values into the specified array
get(int, float[], int, int) - Method in class org.ddogleg.struct.DogArray_F32: Copies a sequence of values into the specified array
get(int, int[], int, int) - Method in class org.ddogleg.struct.DogArray_I32: Copies a sequence of values into the specified array
get(int, long[], int, int) - Method in class org.ddogleg.struct.DogArray_I64: Copies a sequence of values into the specified array
get(int, short[], int, int) - Method in class org.ddogleg.struct.DogArray_I16: Copies a sequence of values into the specified array
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
getArrayType() - Method in interface org.ddogleg.chainrule.CROperatorForward: Primitive data type for the array
getArrayType() - Method in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
getArrayType() - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW
getArrayType() - Method in class org.ddogleg.chainrule.ops.CRLossHuber
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorClampLower
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorConcat
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorDivide
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVS
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorMeanVector
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorMult
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorMultVS
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorPlus
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorPlusAB
getArrayType() - Method in class org.ddogleg.chainrule.ops.CROperatorRemapParams
getArrayType() - Method in class org.ddogleg.chainrule.ops.CRPenaltyL2
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) - 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
getChainInputSize() - Method in class org.ddogleg.chainrule.JacobianSerialChain.Block: Returns the input array size that's expected for the input selected to be used by this chain
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
getDataArray() - Method in class org.ddogleg.struct.DogArray_B
getDataArray() - Method in class org.ddogleg.struct.DogArray_F32
getDataArray() - Method in class org.ddogleg.struct.DogArray_F64
getDataArray() - Method in class org.ddogleg.struct.DogArray_I16
getDataArray() - Method in class org.ddogleg.struct.DogArray_I32
getDataArray() - Method in class org.ddogleg.struct.DogArray_I64
getDataArray() - Method in class org.ddogleg.struct.DogArray_I8
getDataArray() - Method in interface org.ddogleg.struct.DogArrayPrimitive: Returns the internal data array
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.UnconstrainedLeastSquaresBase: 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
getIndentCount() - Method in class org.ddogleg.util.PrintStreamInjectIndent
getIndentSpaces() - Method in class org.ddogleg.util.PrintStreamInjectIndent
getInitialSample() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getInlierSize() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getInputCount() - Method in interface org.ddogleg.chainrule.CROperatorForward: Number of inputs
getInputCount() - Method in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
getInputCount() - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW
getInputCount() - Method in class org.ddogleg.chainrule.ops.CRLossHuber
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorClampLower
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorConcat
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorDivide
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVS
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorMeanVector
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorMult
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorMultVS
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorPlus
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorPlusAB
getInputCount() - Method in class org.ddogleg.chainrule.ops.CROperatorRemapParams
getInputCount() - Method in class org.ddogleg.chainrule.ops.CRPenaltyL2
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
getInputSize(int) - Method in interface org.ddogleg.chainrule.CROperatorForward: Returns the specified input's vector size
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CRLossHuber
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorClampLower
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorConcat
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorDivide
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVS
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorMeanVector: Ends at the last element read rather than the block end, so a slice starting inside the last block of the parameter array stays in bounds
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorMult
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorMultVS
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorPlus
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorPlusAB
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CROperatorRemapParams
getInputSize(int) - Method in class org.ddogleg.chainrule.ops.CRPenaltyL2
getIteration() - Method in class org.ddogleg.fitting.modelset.ransac.RansacMulti
getJacobian() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
getJacobianType() - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
getJacobianType() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
getJacobianType() - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
getJacobianType() - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquaresBase: Returns the Class used to store Jacobian matrices
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
getLinearSolverType() - Method in class org.ddogleg.optimization.ConfigNonLinearLeastSquares: Returns the type of linear solver that has been selected based on non-linear solver type
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: Returns the inlier set.
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.CircularArray_F32
getMaxSize() - Method in class org.ddogleg.struct.CircularArray_F64
getMaxSize() - Method in class org.ddogleg.struct.CircularArray_I32
getMaxSize() - Method in class org.ddogleg.struct.CircularArray_I64
getMaxSize() - Method in class org.ddogleg.struct.CircularArray_I8
getMaxSize() - Method in class org.ddogleg.struct.CircularArray
getMaxSize() - Method in class org.ddogleg.struct.CircularArrayBase: Number of elements in the inner array
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 estimate the model
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 interface org.ddogleg.optimization.loss.LossFunctionGradient
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
getNumberOfFunctions() - Method in interface org.ddogleg.optimization.loss.LossFunction: Number of elements in the residual
getNumberOfFunctions() - Method in interface org.ddogleg.optimization.loss.LossFunctionGradient: Number of elements in the residual
getNumberOfFunctions() - Method in class org.ddogleg.optimization.loss.LossWeighted
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 interface org.ddogleg.optimization.loss.LossFunction
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
getOriginalStream() - Method in class org.ddogleg.util.PrintStreamInjectIndent
getOutputSize() - Method in interface org.ddogleg.chainrule.CROperatorForward: Returns the output vector's size
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CRLossHuber
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorClampLower
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorConcat
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorDivide
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVS
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorMeanVector
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorMult
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorMultVS
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorPlus
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorPlusAB
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CROperatorRemapParams
getOutputSize() - Method in class org.ddogleg.chainrule.ops.CRPenaltyL2
getOutputSize(int) - Method in class org.ddogleg.chainrule.JacobianChainGraph: Size of the graph's output, which the last block of the root chain produces
getOutputSize(int) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Size of output vector from the chain
getOutside(List) - 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.UnconstrainedLeastSquaresBase: 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) - 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.
getSchurSplit() - Method in interface org.ddogleg.optimization.LeastSquaresSwitcher.ProcessJacobianOut: If a Schur decomposition is used, where should it split the Jacobian into a left and right matrix?
getSettings() - Method in interface org.ddogleg.chainrule.CROperatorForward: Retrieve a serialized description of the settings
getSettings() - Method in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
getSettings() - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW: Encodes all weights that are not 1.0
getSettings() - Method in class org.ddogleg.chainrule.ops.CRLossHuber
getSettings() - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND
getSettings() - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND
getSettings() - Method in class org.ddogleg.chainrule.ops.CROperatorClampLower
getSettings() - Method in class org.ddogleg.chainrule.ops.CROperatorConcat
getSettings() - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped: Encodes the damping only when it does something
getSettings() - Method in class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights
getSettings() - Method in class org.ddogleg.chainrule.ops.CROperatorMeanVector
getSettings() - Method in class org.ddogleg.chainrule.ops.CRPenaltyL2
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.FactoryLossFunctions.Funcs
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(CRArray, List) - Method in interface org.ddogleg.chainrule.CROperatorBackwardsGrad: Computes the derivatives of all the inputs and parameters to this function .
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
Gradient() - Constructor for class org.ddogleg.optimization.loss.LossIdentity.Gradient
Gradient() - Constructor for class org.ddogleg.optimization.loss.LossSquared.Gradient
Gradient(double) - Constructor for class org.ddogleg.optimization.loss.LossCauchy.Gradient
Gradient(double) - Constructor for class org.ddogleg.optimization.loss.LossHuber.Gradient
Gradient(double) - Constructor for class org.ddogleg.optimization.loss.LossHuberSmooth.Gradient
Gradient(double) - Constructor for class org.ddogleg.optimization.loss.LossTukey.Gradient
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
GradientNumerical<T> - Interface in org.ddogleg.chainrule: Given a CROperatorForward implementations of this interface will compute the gradient of its inputs and parameters.
GradientNumerical_F64 - Class in org.ddogleg.chainrule: Implementation of GradientNumerical for double[]
GradientNumerical_F64() - Constructor for class org.ddogleg.chainrule.GradientNumerical_F64
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
graph() - Method in class org.ddogleg.chainrule.JacobianChainGraph: Used to construct a new graph
GraphConstructor() - Constructor for class org.ddogleg.chainrule.JacobianChainGraph.GraphConstructor
GraphDataManager<N,E> - Class in org.ddogleg.graph: Handles creating and recycling data in a graph.
GraphDataManager() - Constructor for class org.ddogleg.graph.GraphDataManager
grid - Variable in class org.ddogleg.chainrule.grid.ConfigGridSplineND
grid(String, ConfigGridCoefND, int, int) - Static method in class org.ddogleg.chainrule.sym.SymOps: A bilinear knot grid conditional on a value, read as grid(...).at(u).of(v)
GridCoefND - Class in org.ddogleg.chainrule.grid: A grid with a set of coefficients at every vertex that act as a set of parameters for a function, such as a polynomial or spline.
GridCoefND() - Constructor for class org.ddogleg.chainrule.grid.GridCoefND
GridCoefND(ConfigGridCoefND) - Constructor for class org.ddogleg.chainrule.grid.GridCoefND
GridNdHelper - Class in org.ddogleg.chainrule.grid: Helper/utility class for different operations on a GridCoefND
GridNdHelper() - Constructor for class org.ddogleg.chainrule.grid.GridNdHelper
gridToWeights() - Method in class org.ddogleg.chainrule.grid.GridNdHelper: Bilinear weights for the cell found by GridNdHelper.coorToGrid(double, double), along with where that cell's knots live.
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

handle(CRMatrix) - Method in interface org.ddogleg.chainrule.JacobianSerialChain.CaptureJacobian
handle(CROperatorBackwardsJac) - Method in interface org.ddogleg.chainrule.JacobianSerialChain.PreForward
hashSet(T...) - Static method in class org.ddogleg.util.VerboseUtils
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_I64: Value of the first element in the queue
head() - Method in class org.ddogleg.struct.CircularArray_I8: Value of the first element in the queue
head() - Method in class org.ddogleg.struct.CircularArray: Value of the first element in the queue
height - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Input image shape
height - Variable in class org.ddogleg.chainrule.sym.SymGrid
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> - 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) - 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) - 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) - 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) - 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> - 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> - 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, LinearSolverSparse) - 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, LinearSolverDense) - 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, LinearSolverSparse) - Constructor for class org.ddogleg.optimization.math.HessianSchurComplement_DSCC
huber(double) - Static method in class org.ddogleg.optimization.FactoryLossFunctions
HUBER - Enum constant in enum class org.ddogleg.optimization.ConfigLoss.Type
HUBER_SMOOTH - Enum constant in enum class org.ddogleg.optimization.ConfigLoss.Type
huberSmooth(double) - Static method in class org.ddogleg.optimization.FactoryLossFunctions

I

i(int) - Method in class org.ddogleg.chainrule.CRArray: Array access for type int
i(int, int) - Method in class org.ddogleg.chainrule.CRArray: Array access for type double
i(int, int) - Method in class org.ddogleg.chainrule.CRMatrix: Array access for type int
i(int, int, int) - Method in class org.ddogleg.chainrule.CRMatrix: Array access for type double
identity() - Static method in class org.ddogleg.optimization.FactoryLossFunctions
IDENTITY - Enum constant in enum class org.ddogleg.optimization.ConfigLoss.Type
ids - Variable in class org.ddogleg.chainrule.JacobianSerialChain.Chain: Block IDs in the chain
in(int, int) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Specifies if an input is being optimized and where the optimized parameter is stored in the system's parameter vector
in(int, Sym) - Method in class org.ddogleg.chainrule.sym.Sym: Binds input slot index of this node's operator, using the operator's own input indexes.
IN_A - Static variable in class org.ddogleg.chainrule.ops.CROperatorDivide
IN_A - Static variable in class org.ddogleg.chainrule.ops.CROperatorDivideVS
IN_A - Static variable in class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped
IN_A - Static variable in class org.ddogleg.chainrule.ops.CROperatorMult
IN_A - Static variable in class org.ddogleg.chainrule.ops.CROperatorMultVS
IN_A - Static variable in class org.ddogleg.chainrule.ops.CROperatorPlus
IN_ALPHA - Static variable in class org.ddogleg.chainrule.ops.CROperatorPlusAB
IN_B - Static variable in class org.ddogleg.chainrule.ops.CROperatorDivide
IN_B - Static variable in class org.ddogleg.chainrule.ops.CROperatorDivideVS
IN_B - Static variable in class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped
IN_B - Static variable in class org.ddogleg.chainrule.ops.CROperatorMult
IN_B - Static variable in class org.ddogleg.chainrule.ops.CROperatorMultVS
IN_B - Static variable in class org.ddogleg.chainrule.ops.CROperatorPlus
IN_BETA - Static variable in class org.ddogleg.chainrule.ops.CROperatorPlusAB
IN_KNOT_0 - Static variable in class org.ddogleg.chainrule.ops.CROperatorBilinearND
IN_KNOT_1 - Static variable in class org.ddogleg.chainrule.ops.CROperatorBilinearND
IN_KNOT_2 - Static variable in class org.ddogleg.chainrule.ops.CROperatorBilinearND
IN_KNOT_3 - Static variable in class org.ddogleg.chainrule.ops.CROperatorBilinearND
IN_PIXEL - Static variable in class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights
IN_V0 - Static variable in class org.ddogleg.chainrule.ops.CROperatorPlusAB
IN_V1 - Static variable in class org.ddogleg.chainrule.ops.CROperatorPlusAB
IN_VALUE - Static variable in class org.ddogleg.chainrule.ops.CROperatorBilinearND
IN_WEIGHTS - Static variable in class org.ddogleg.chainrule.ops.CROperatorBilinearND
in0(Sym) - Method in class org.ddogleg.chainrule.sym.Sym
in1(Sym) - Method in class org.ddogleg.chainrule.sym.Sym
in2(Sym) - Method in class org.ddogleg.chainrule.sym.Sym
in3(Sym) - Method in class org.ddogleg.chainrule.sym.Sym
in4(Sym) - Method in class org.ddogleg.chainrule.sym.Sym
in5(Sym) - Method in class org.ddogleg.chainrule.sym.Sym
in6(Sym) - Method in class org.ddogleg.chainrule.sym.Sym
in7(Sym) - Method in class org.ddogleg.chainrule.sym.Sym
in8(Sym) - Method in class org.ddogleg.chainrule.sym.Sym
include(boolean) - Method in interface org.ddogleg.struct.DogArray_B.Filter
include(byte) - Method in interface org.ddogleg.struct.DogArray_I8.Filter
include(double) - Method in interface org.ddogleg.struct.DogArray_F64.Filter
include(float) - Method in interface org.ddogleg.struct.DogArray_F32.Filter
include(int) - Method in interface org.ddogleg.struct.DogArray_I16.Filter
include(int) - Method in interface org.ddogleg.struct.DogArray_I32.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(boolean, int) - Method in class org.ddogleg.struct.DogArray_B: Searches for the first element which contains `value` starting at index `startIndex`
indexOf(double) - Method in class org.ddogleg.struct.DogArray_F64: Returns the index of the first element with the specified 'value'.
indexOf(double, int) - Method in class org.ddogleg.struct.DogArray_F64: Searches for the first element which contains `value` starting at index `startIndex`
indexOf(float) - Method in class org.ddogleg.struct.DogArray_F32: Returns the index of the first element with the specified 'value'.
indexOf(float, int) - Method in class org.ddogleg.struct.DogArray_F32: Searches for the first element which contains `value` starting at index `startIndex`
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(int, int) - Method in class org.ddogleg.struct.DogArray_I16: Searches for the first element which contains `value` starting at index `startIndex`
indexOf(int, int) - Method in class org.ddogleg.struct.DogArray_I32: Searches for the first element which contains `value` starting at index `startIndex`
indexOf(int, int) - Method in class org.ddogleg.struct.DogArray_I8: Searches for the first element which contains `value` starting at index `startIndex`
indexOf(int, CircularArray_F32.Match) - Method in class org.ddogleg.struct.CircularArray_F32: Searches for the next element starting at index "offset" that the passed in condition is true for.
indexOf(int, CircularArray_F64.Match) - Method in class org.ddogleg.struct.CircularArray_F64: Searches for the next element starting at index "offset" that the passed in condition is true for.
indexOf(int, CircularArray_I32.Match) - Method in class org.ddogleg.struct.CircularArray_I32: Searches for the next element starting at index "offset" that the passed in condition is true for.
indexOf(int, CircularArray_I64.Match) - Method in class org.ddogleg.struct.CircularArray_I64: Searches for the next element starting at index "offset" that the passed in condition is true for.
indexOf(int, CircularArray_I8.Match) - Method in class org.ddogleg.struct.CircularArray_I8: Searches for the next element starting at index "offset" that the passed in condition is true for.
indexOf(long) - Method in class org.ddogleg.struct.DogArray_I64: Returns the index of the first element with the specified 'value'.
indexOf(long, int) - Method in class org.ddogleg.struct.DogArray_I64: Searches for the first element which contains `value` starting at index `startIndex`
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> - Class in org.ddogleg.optimization.wrap: Wrapper around FunctionNtoM and FunctionNtoMxN for CoupledJacobian.
Individual_to_CoupledJacobian(FunctionNtoM, FunctionNtoMxN) - 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[]) - Method in class org.ddogleg.chainrule.JacobianSerialChain.Chain
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) - 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, int) - Method in class org.ddogleg.combinatorics.Combinations: Initialize with a new list and bucket size
init(DistanceFromModel, ArrayDeque) - Method in class org.ddogleg.fitting.modelset.distance.FitByMeanStatistics
init(DistanceFromModel, ArrayDeque) - Method in class org.ddogleg.fitting.modelset.distance.FitByMedianStatistics
init(DistanceFromModel, ArrayDeque) - 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.UnconstrainedLeastSquaresBase: 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) - 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, DistanceFromModel) - Method in interface org.ddogleg.fitting.modelset.ransac.Ransac.InitializeModels
initialize(TrustRegionBase_F64, int, double) - Method in interface org.ddogleg.optimization.trustregion.TrustRegionBase_F64.ParameterUpdate: Must call this function first.
initialize(TrustRegionBase_F64, int, double) - Method in class org.ddogleg.optimization.trustregion.TrustRegionUpdateCauchy_F64
initialize(TrustRegionBase_F64, 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
Injector(PrintStream, String, int) - Constructor for class org.ddogleg.util.PrintStreamInjectIndent.Injector
inlierFraction - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Fraction of samples which will be considered an inlier.
InlierFraction - Interface in org.ddogleg.fitting.modelset: Specifies inlier set as a fraction
inlierRouseeuwSigma - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Computes an inlier threshold by assuming the distribution is normal.
inlierSet - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
inlierThreshold - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Largest error an inlier can have.
InlierThreshold - Interface in org.ddogleg.fitting.modelset: Specifies a fit threshold for an inlier set based upon a maximum allowed error
innerArray() - Method in class org.ddogleg.struct.CircularArray_F32
innerArray() - Method in class org.ddogleg.struct.CircularArray_F64
innerArray() - Method in class org.ddogleg.struct.CircularArray_I32
innerArray() - Method in class org.ddogleg.struct.CircularArray_I64
innerArray() - Method in class org.ddogleg.struct.CircularArray_I8
innerArray() - Method in class org.ddogleg.struct.CircularArray
innerArray() - Method in class org.ddogleg.struct.CircularArrayBase: Reference to the inner array
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.
input(int, CRArray) - Method in class org.ddogleg.chainrule.JacobianChainGraph.Forward: Provides an input for the specified chain.
input(String, int) - Static method in class org.ddogleg.chainrule.sym.Sym: Per-observation value, updated by the caller inside its loop
INPUT - Enum constant in enum class org.ddogleg.chainrule.sym.Sym.Kind
inputIdx(int) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Used to specify which input should the output from the previous block be passed into.
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) - Method in class org.ddogleg.struct.DogLinkedList: Inserts the object into a new element after the provided element.
insertBefore(DogLinkedList.Element, T) - Method in class org.ddogleg.struct.DogLinkedList: Inserts the object into a new element before the provided element.
insertInputs(int, T) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Helper function that will automatically pass in all mapped inputs
install(JacobianSerialChain, int, SymFunction) - Method in interface org.ddogleg.chainrule.sym.SymExtension: Registers pre-forward hooks and moving Jacobian columns.
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.
IRLS - Enum constant in enum class org.ddogleg.optimization.ConfigLoss.Type
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.BigDogArrayBase: True if the array is empty
isEmpty() - Method in class org.ddogleg.struct.CircularArrayBase: If no elements are used in the array
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
isEmpty() - Method in interface org.ddogleg.struct.LArrayAccessor: True if the array is empty
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(CRArray, int, double) - Method in class org.ddogleg.chainrule.CRArray: Checks to see if the two arrays are equals to each other to within the specified tolerance and over the specified number of elements
isEquals(CRMatrix, double) - Method in class org.ddogleg.chainrule.CRMatrix
isEquals(DogArray_B) - Method in class org.ddogleg.struct.DogArray_B
isEquals(DogArray_F32) - Method in class org.ddogleg.struct.DogArray_F32
isEquals(DogArray_F32, float) - Method in class org.ddogleg.struct.DogArray_F32: Checks for equality within the specified tolerance
isEquals(DogArray_F64) - Method in class org.ddogleg.struct.DogArray_F64
isEquals(DogArray_F64, double) - Method in class org.ddogleg.struct.DogArray_F64: Checks for equality within the specified tolerance
isEquals(DogArray_I16) - Method in class org.ddogleg.struct.DogArray_I16
isEquals(DogArray_I32) - Method in class org.ddogleg.struct.DogArray_I32
isEquals(DogArray_I32, int) - Method in class org.ddogleg.struct.DogArray_I32: Checks for equality within the specified tolerance
isEquals(DogArray_I64) - Method in class org.ddogleg.struct.DogArray_I64
isEquals(DogArray_I64, long) - Method in class org.ddogleg.struct.DogArray_I64: Checks for equality within the specified tolerance
isEquals(DogArray_I8) - Method in class org.ddogleg.struct.DogArray_I8
isEquivalent(BigDogArray_B) - Method in class org.ddogleg.struct.BigDogArray_B: Returns true if both arrays have the same number of elements and the elements are within the specified tolerance of each other.
isEquivalent(BigDogArray_F32, float) - Method in class org.ddogleg.struct.BigDogArray_F32: Returns true if both arrays have the same number of elements and the elements are within the specified tolerance of each other.
isEquivalent(BigDogArray_F64, double) - Method in class org.ddogleg.struct.BigDogArray_F64: Returns true if both arrays have the same number of elements and the elements are within the specified tolerance of each other.
isEquivalent(BigDogArray_I32) - Method in class org.ddogleg.struct.BigDogArray_I32: Returns true if both arrays have the same number of elements and the elements are within the specified tolerance of each other.
isEquivalent(BigDogArray_I64) - Method in class org.ddogleg.struct.BigDogArray_I64: Returns true if both arrays have the same number of elements and the elements are within the specified tolerance of each other.
isEquivalent(BigDogArray_I8) - Method in class org.ddogleg.struct.BigDogArray_I8: Returns true if both arrays have the same number of elements and the elements are within the specified tolerance of each other.
isFull() - Method in class org.ddogleg.struct.CircularArrayBase: If all available elements are used
isIdentical(ConfigGridCoefND) - Method in class org.ddogleg.chainrule.grid.ConfigGridCoefND: True if every field matches exactly
isIdentical(ConfigGridSplineND) - Method in class org.ddogleg.chainrule.grid.ConfigGridSplineND: True if every field matches exactly
isIdentical(GridCoefND) - Method in class org.ddogleg.chainrule.grid.GridCoefND: True if every field matches exactly.
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
isInvalid() - Method in class org.ddogleg.chainrule.CRArray
isInvalid() - Method in class org.ddogleg.chainrule.CRMatrix: True if this is an invalid matrix.
isLeaf() - Method in class org.ddogleg.nn.alg.KdTree.Node
isMatch(byte) - Method in interface org.ddogleg.struct.CircularArray_I8.Match
isMatch(double) - Method in interface org.ddogleg.struct.CircularArray_F64.Match
isMatch(float) - Method in interface org.ddogleg.struct.CircularArray_F32.Match
isMatch(int) - Method in interface org.ddogleg.struct.CircularArray_I32.Match
isMatch(long) - Method in interface org.ddogleg.struct.CircularArray_I64.Match
isNaN() - Method in class org.ddogleg.chainrule.CRMatrix: true if one element is NaN in the matrix
isNotEmpty() - Method in class org.ddogleg.struct.BigDogArrayBase: True if the array has elements
isNotEmpty() - Method in interface org.ddogleg.struct.DogArrayPrimitive: True if the container has elements in it
isNotEmpty() - Method in interface org.ddogleg.struct.LArrayAccessor: True if the array has elements
isRobust() - Method in class org.ddogleg.optimization.ConfigLoss: Returns true if it's configured to use a robust loss function.
isStopRequested() - Method in interface org.ddogleg.struct.Stoppable: True if a request to stop has been sent.
isUncountable(CRMatrix) - Method in class org.ddogleg.chainrule.MathCRMatrixD
isUncountable(CRMatrix) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Returns true if the matrix contains at least one uncountable number
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(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CRLossHuber
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorClampLower: One where the value passed through, zero where the floor decided it
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorConcat: Each input passes straight into its own run of the output, so its derivative is a selection matrix and the product is just that run's columns of dout
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorDivide: The quotient rule, element by element: d(a/b)/da = 1/b and d(a/b)/db = -a/b^2
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVS: The quotient rule: the vector's Jacobian is 1/b on the diagonal, and the scalar's is -a/b^2 as a single column
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped: The quotient rule with the damping riding along in the denominator: the vector's Jacobian is 1/(beta + b) on the diagonal, and the scalar's is -a/(beta + b)^2 as a single column
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights: The cell is fixed, so a weight only moves through the fractions, and those are linear in the pixel
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorMeanVector: Every strided element contributes equally, so the jacobian is 1/count at each of them
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorMult: The product rule: each side's Jacobian is a diagonal holding the other side's values
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorMultVS: The product rule: the vector's Jacobian is b on the diagonal, and the scalar's is the vector itself as a single column
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorPlus: A sum has a derivative of one with respect to either side, so both inputs get the same Jacobian
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorPlusAB: Each vector enters scaled by its own coefficient, and each coefficient enters as the vector it scales
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CROperatorRemapParams
jacobian(CRMatrix, List) - Method in class org.ddogleg.chainrule.ops.CRPenaltyL2
jacobian(CRMatrix, List) - Method in interface org.ddogleg.chainrule.CROperatorBackwardsJac: Computes the Jacobian of all the inputs and parameters to this function.
jacobian(FunctionNtoM, FunctionNtoMxN, double[], double) - Static method in class org.ddogleg.optimization.DerivativeChecker
jacobian(FunctionNtoM, FunctionNtoMxN, double[], double, double) - Static method in class org.ddogleg.optimization.DerivativeChecker
JacobianChainGraph<T> - Class in org.ddogleg.chainrule: Computes Jacobians for a graph of JacobianSerialChain chains.
JacobianChainGraph(MathCRMatrix) - Constructor for class org.ddogleg.chainrule.JacobianChainGraph
JacobianChainGraph.Forward - Class in org.ddogleg.chainrule: Helper class for running the forward pass.
JacobianChainGraph.GraphConstructor - Class in org.ddogleg.chainrule: Used to define an in-graph using dependencies between chains
jacobianForwards(FunctionNtoM, Class) - Static method in class org.ddogleg.optimization.FactoryNumericalDerivative
jacobianKnot(CRMatrix, CRMatrix, int) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND: A coefficient enters linearly, so its derivative is its knot's weight times whatever the function makes of it.
JacobianNumerical<T> - Interface in org.ddogleg.chainrule: Given a CROperatorForward implementations of this interface will compute the gradient of its inputs and parameters.
JacobianNumerical_F64 - Class in org.ddogleg.chainrule: Implementation of JacobianNumerical
JacobianNumerical_F64() - Constructor for class org.ddogleg.chainrule.JacobianNumerical_F64
jacobianOut - Variable in class org.ddogleg.chainrule.sym.SymFunction: Where Jacobian entries land, and the row the caller says the current observation starts at.
jacobianOutWrap(DMatrixRMaj) - Static method in class org.ddogleg.optimization.LeastSquaresSwitcher: Convenience function for wrapping a matrix with LeastSquaresSwitcher.JacobianOut.
jacobianPrint(FunctionNtoM, FunctionNtoMxN, double[], double) - Static method in class org.ddogleg.optimization.DerivativeChecker
jacobianPrint(FunctionNtoM, FunctionNtoMxN, double[], double, double) - Static method in class org.ddogleg.optimization.DerivativeChecker
jacobianPrintR(FunctionNtoM, FunctionNtoMxN, double[], double) - Static method in class org.ddogleg.optimization.DerivativeChecker: Prints out the difference using a relative error threshold
jacobianPrintR(FunctionNtoM, FunctionNtoMxN, double[], double, double) - Static method in class org.ddogleg.optimization.DerivativeChecker
jacobianR(FunctionNtoM, FunctionNtoMxN, double[], double) - Static method in class org.ddogleg.optimization.DerivativeChecker: Checks the jacobian using a relative error threshold.
jacobianR(FunctionNtoM, FunctionNtoMxN, double[], double, double) - Static method in class org.ddogleg.optimization.DerivativeChecker: Checks the jacobian using a relative error threshold.
jacobianRow - Variable in class org.ddogleg.chainrule.sym.SymFunction
JacobianSerialChain<T> - Class in org.ddogleg.chainrule: Sequential chain of operations for forward and backwards calculations used to compute Jacobians using the chain rule.
JacobianSerialChain(MathCRMatrix) - Constructor for class org.ddogleg.chainrule.JacobianSerialChain
JacobianSerialChain.AddToJacobian<T> - Interface in org.ddogleg.chainrule: Used to pass a locally computed Jacobian into the system Jacobian
JacobianSerialChain.Block<T> - Class in org.ddogleg.chainrule: Storage for an operator an any associated adata
JacobianSerialChain.CaptureJacobian<T> - Interface in org.ddogleg.chainrule
JacobianSerialChain.Chain - Class in org.ddogleg.chainrule: Describes a sequence of blocks that will be processed
JacobianSerialChain.PreForward<T> - Interface in org.ddogleg.chainrule: Called once every input is set and before the operator runs.
jacobianTo(LeastSquaresSwitcher.JacobianOut) - Method in class org.ddogleg.chainrule.sym.SymFunction: Publishes Jacobian entries to out.
jacobianType - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
jacobianValue(CRMatrix, CRMatrix) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND: Each knot's polynomial moves with value, and the four of them are mixed by the same weights
jacobianWeights(CRMatrix, CRMatrix) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND: A weight enters linearly, so its derivative is the polynomial it scales
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
kind - Variable in class org.ddogleg.chainrule.sym.Sym
kMeans(ConfigKMeans, int, Class) - 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) - 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
knotOffset(int) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND: Where the specified knot's polynomials start in the array they came from, which is also the column its Jacobian belongs to when that array is the system's parameter vector
knotOffsets - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Location of knot offsets
knotOffsets(int, int, int, int[]) - Method in class org.ddogleg.chainrule.grid.ConfigGridCoefND: Where each of a cell's four knots starts in the parameter array
knots - Variable in class org.ddogleg.chainrule.ops.CROperatorBilinearND: Where each knot's polynomials live.
knots - Variable in class org.ddogleg.chainrule.sym.SymGrid: The knot coefficients, a Sym.param(String, int) terminal sized to the grid
knotStride() - Method in class org.ddogleg.chainrule.grid.ConfigGridCoefND: How many parameters one knot holds

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
lastBlockId() - Method in class org.ddogleg.chainrule.JacobianSerialChain: Returns the ID for the most recently added block
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, ModelManager, Class) - Constructor for class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Configures the algorithm.
LeastMedianOfSquares(long, int, ModelManager, Class) - 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, ModelManager, Class) - Constructor for class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares_MT
LeastMedianOfSquares_MT(long, int, ModelManager, Class) - Constructor for class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares_MT
LeastMedianOfSquares.TrialHelper - Class in org.ddogleg.fitting.modelset.lmeds
leastSquares(ConfigNonLinearLeastSquares) - Static method in class org.ddogleg.optimization.FactoryOptimization: Generic factory for any unconstrained least squares solver using Schur decomposition
leastSquares(ConfigNonLinearLeastSquares) - Static method in class org.ddogleg.optimization.FactoryOptimizationSparse: Generic factory for any unconstrained least squares solver
leastSquaresSchur(ConfigNonLinearLeastSquares) - Static method in class org.ddogleg.optimization.FactoryOptimization: Generic factory for any unconstrained least squares solver using Schur decomposition
leastSquaresSchur(ConfigNonLinearLeastSquares) - Static method in class org.ddogleg.optimization.FactoryOptimizationSparse: Generic factory for any unconstrained least squares solver using Schur decomposition
LeastSquaresSwitcher<S> - Class in org.ddogleg.optimization: Class that lets you easily switch between different GaussNewtonBase_F64 solvers and matrix formats.
LeastSquaresSwitcher() - Constructor for class org.ddogleg.optimization.LeastSquaresSwitcher
LeastSquaresSwitcher.JacobianOut - Interface in org.ddogleg.optimization: Abstracts writing to the Jacobian so that LeastSquaresSwitcher.ProcessJacobianOut doesn't need to know the format
LeastSquaresSwitcher.ProcessJacobianOut - Interface in org.ddogleg.optimization: High level interface for implementing the Jacobian.
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
LEVENBERG_MARQUARDT - Enum constant in enum class org.ddogleg.optimization.ConfigNonLinearLeastSquares.Type
levenbergMarquardt(ConfigLevenbergMarquardt) - Static method in class org.ddogleg.optimization.FactoryOptimization
levenbergMarquardt(ConfigLevenbergMarquardt) - Static method in class org.ddogleg.optimization.FactoryOptimizationSparse
LevenbergMarquardt_F64<S,HM> - Class in org.ddogleg.optimization.lm: Implementation of Levenberg-Marquardt non-linear least squares optimization.
LevenbergMarquardt_F64(MatrixMath, HM) - Constructor for class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
levenbergMarquardtSchur(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
lm - Variable in class org.ddogleg.optimization.ConfigNonLinearLeastSquares
LossCauchy - Class in org.ddogleg.optimization.loss: Loss function inspired by the Cauchy distribution, a.k.a Lorentzian loss function.
LossCauchy(double) - Constructor for class org.ddogleg.optimization.loss.LossCauchy
LossCauchy.Function - Class in org.ddogleg.optimization.loss: Implementation of the smooth Cauchy loss function
LossCauchy.Gradient - Class in org.ddogleg.optimization.loss: Implementation of the smooth Cauchy loss gradient
lossFunc - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Given the residuals it computes the "Loss" or cost
lossFunc - Variable in class org.ddogleg.optimization.trustregion.TrustRegionLeastSqBase_F64: Given the residuals it computes the "Loss" or cost
lossFuncGradient - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Gradient of the loss function.
lossFuncGradient - Variable in class org.ddogleg.optimization.trustregion.TrustRegionLeastSqBase_F64: Gradient of the loss function.
LossFunction - Interface in org.ddogleg.optimization.loss: Residual loss function for regression.
LossFunctionBase - Class in org.ddogleg.optimization.loss: Base class for loss functions.
LossFunctionBase() - Constructor for class org.ddogleg.optimization.loss.LossFunctionBase
LossFunctionGradient - Interface in org.ddogleg.optimization.loss: Analytical gradient for a function that implements LossFunction.
LossHuber - Class in org.ddogleg.optimization.loss: Huber Loss is a robust loss function that is less sensitive to outliers than the squared error loss.
LossHuber(double) - Constructor for class org.ddogleg.optimization.loss.LossHuber
LossHuber.Function - Class in org.ddogleg.optimization.loss: Implementation of the Huber loss function
LossHuber.Gradient - Class in org.ddogleg.optimization.loss: Implementation of the Huber Loss gradient
LossHuberSmooth - Class in org.ddogleg.optimization.loss: Smooth approximation to the huber loss [1].
LossHuberSmooth(double) - Constructor for class org.ddogleg.optimization.loss.LossHuberSmooth
LossHuberSmooth.Function - Class in org.ddogleg.optimization.loss: Implementation of the smooth Huber loss function
LossHuberSmooth.Gradient - Class in org.ddogleg.optimization.loss: Implementation of the smooth Huber loss gradient
LossIdentity - Class in org.ddogleg.optimization.loss: This loss function simply passes through the computed "residual".
LossIdentity() - Constructor for class org.ddogleg.optimization.loss.LossIdentity
LossIdentity.Function - Class in org.ddogleg.optimization.loss
LossIdentity.Gradient - Class in org.ddogleg.optimization.loss
LossIRLS - Class in org.ddogleg.optimization.loss: Iteratively Reweighted Least-Squares (IRLS) allows the weights to be recomputed every iteration.
LossIRLS() - Constructor for class org.ddogleg.optimization.loss.LossIRLS
LossIRLS.ComputeWeights - Interface in org.ddogleg.optimization.loss
LossSquared - Class in org.ddogleg.optimization.loss: Squared error loss function.
LossSquared() - Constructor for class org.ddogleg.optimization.loss.LossSquared
LossSquared.Function - Class in org.ddogleg.optimization.loss
LossSquared.Gradient - Class in org.ddogleg.optimization.loss
LossTukey - Class in org.ddogleg.optimization.loss: Tukey loss (Tukey's biweight function) has similar behavior to LossHuber but is less sensitive to outliers because they contribute nothing to the loss.
LossTukey(double) - Constructor for class org.ddogleg.optimization.loss.LossTukey
LossTukey.Function - Class in org.ddogleg.optimization.loss: Implementation of the Tukey loss function
LossTukey.Gradient - Class in org.ddogleg.optimization.loss: Implementation of the Tukey Loss gradient
LossWeighted - Class in org.ddogleg.optimization.loss: A weighted least squares cost function.
LossWeighted() - Constructor for class org.ddogleg.optimization.loss.LossWeighted
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> - Class in org.ddogleg.optimization.wrap: Convert the Jacobian of a least squares function into a nonlinear optimization gradient.
LsToNonLinearDeriv(FunctionNtoM, FunctionNtoMxN) - Constructor for class org.ddogleg.optimization.wrap.LsToNonLinearDeriv

M

main(String[]) - Static method in class org.ddogleg.combinatorics.Permute
mapParamColumn(Sym, int) - Method in class org.ddogleg.chainrule.sym.SymFunction: Declares where a parameter's column is, for a terminal whose storage is not the solver's parameter array.
mapParamColumns() - Method in class org.ddogleg.chainrule.sym.SymFunction: Declares the Jacobian column of every param side feed from its handle's current offset.
markInvalid() - Method in class org.ddogleg.chainrule.CRArray
markInvalid() - Method in class org.ddogleg.chainrule.CRMatrix: Marks the matrix as invalid
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.chainrule.ops.CRErrorHuberNorm
math - Variable in class org.ddogleg.chainrule.ops.CRErrorVectorSW
math - Variable in class org.ddogleg.chainrule.ops.CRLossHuber
math - Variable in class org.ddogleg.chainrule.ops.CROperatorBilinearND
math - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
math - Variable in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
MathCRMatrix<T> - Interface in org.ddogleg.chainrule: Specifies standard math operations on CRMatrix.
MathCRMatrixD - Class in org.ddogleg.chainrule: Various math operations that can be formed on CRMatrix
MathCRMatrixD() - Constructor for class org.ddogleg.chainrule.MathCRMatrixD
MatrixMath<S> - 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 - Variable in class org.ddogleg.chainrule.grid.ConfigGridSplineND: Range of allowed values
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
maxAbs(double[], int, int) - Static method in class org.ddogleg.optimization.UtilOptimize: Returns the largest absolute value of an element in array within the specified range
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 - Variable in class org.ddogleg.chainrule.grid.ConfigGridSplineND: Range of allowed values
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 formula.
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.lmeds.LeastMedianOfSquares
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
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(CRMatrix, CRMatrix, CRMatrix) - Method in class org.ddogleg.chainrule.MathCRMatrixD: Performs a matrix multiplication between a and b.
mult(CRMatrix, CRMatrix, CRMatrix) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Performs matrix multiplication.
mult(Sym, Sym) - Static method in class org.ddogleg.chainrule.sym.SymOps: vectorA * vectorB: element-wise multiplication between the two vectors
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
multVS(Sym, Sym) - Static method in class org.ddogleg.chainrule.sym.SymOps: vector .* scalar: multiply each element in vector by scalar
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
name - Variable in class org.ddogleg.chainrule.sym.Sym: Label for build errors and the wiring dump, not used for lookup
nameToShort(String, int) - Static method in class org.ddogleg.util.VerboseUtils: Assumes names are camel case and that the capital letters are important.
nearestIndex(double, int, int) - Static method in class org.ddogleg.chainrule.grid.ConfigGridCoefND: Knot a pixel is nearest to when the axis tiles the image as count equal bands rather than a bilinear lattice of corner knots: band k owns [k*size/count, (k+1)*size/count), so the knot sits at the band's center.
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
normalizeAfterStep(int, CRArray) - Method in interface org.ddogleg.chainrule.CROperatorForward: This function is called after an iteration and will normalize an input's values.
nu - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
NUM_KNOTS - Static variable in class org.ddogleg.chainrule.grid.ConfigGridCoefND: How many weights are produced, one per knot of the cell
numberOfFunctions - Variable in class org.ddogleg.optimization.loss.LossFunctionBase: Number of parameters that can be expected in the residual
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
numOut - Variable in class org.ddogleg.chainrule.grid.ConfigGridCoefND: Number of outputs for cell
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
observed - Variable in class org.ddogleg.chainrule.ops.CRErrorVectorSW: input[1] the observed value.
of(CROperatorBackwardsJac) - Static method in class org.ddogleg.chainrule.sym.Sym: Interior node wrapping the operator.
of(Sym) - Method in class org.ddogleg.chainrule.sym.SymGrid.Read: The value the per-knot polynomials are evaluated at, completing G(u; v)
offset - Variable in class org.ddogleg.chainrule.CRArray: First index in the sub array
offset - Variable in class org.ddogleg.chainrule.CRMatrix: First index in the sub array
oldCenter - Variable in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
op - Variable in class org.ddogleg.chainrule.sym.Sym: The operator an interior node wraps, one instance per node
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 Class in org.ddogleg.optimization: This message is thrown if something bad happens while optimizing that would be the results invalid
OptimizationException() - Constructor for exception class org.ddogleg.optimization.OptimizationException
OptimizationException(String) - Constructor for exception class org.ddogleg.optimization.OptimizationException
org.ddogleg - package org.ddogleg
org.ddogleg.chainrule - package org.ddogleg.chainrule
org.ddogleg.chainrule.grid - package org.ddogleg.chainrule.grid
org.ddogleg.chainrule.ops - package org.ddogleg.chainrule.ops
org.ddogleg.chainrule.sym - package org.ddogleg.chainrule.sym
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.loss - package org.ddogleg.optimization.loss
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
outputOffset(int) - Method in class org.ddogleg.chainrule.ops.CROperatorConcat: Where the specified input's values start inside the output
owner - Variable in class org.ddogleg.optimization.trustregion.TrustRegionUpdateDogleg_F64
ownsInput(int) - Method in interface org.ddogleg.chainrule.sym.SymExtension: True when the extension supplies this input itself, so the builder must not demand that the expression bind it

P

p - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
padding - Variable in class org.ddogleg.chainrule.grid.ConfigGridCoefND: How many of the outermost rows and columns lie outside the image
param - Variable in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
param(String, int) - Static method in class org.ddogleg.chainrule.sym.Sym: A slice of the parameter array, the only terminal that is differentiated.
PARAM - Enum constant in enum class org.ddogleg.chainrule.sym.Sym.Kind
parameter - Variable in class org.ddogleg.optimization.ConfigLoss: If a parameter is needed by the implementation this value is used.
parameters - Variable in class org.ddogleg.chainrule.grid.GridCoefND: Coefficients for every knot, config.dof() of them
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) - Constructor for class org.ddogleg.combinatorics.Permute: Permute the elements in the list provided
pixelToGridX(double, int) - Method in class org.ddogleg.chainrule.grid.ConfigGridCoefND: Fractional grid coordinate of a pixel, where a whole number is a knot.
pixelToGridY(double, int) - Method in class org.ddogleg.chainrule.grid.ConfigGridCoefND
plus(int, Sym, Sym) - Static method in class org.ddogleg.chainrule.sym.SymOps: a + b, element-wise over dof values
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_I64: Returns and removes the first element from the queue.
popHead() - Method in class org.ddogleg.struct.CircularArray_I8: 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_I64: Returns and removes the last element from the queue.
popTail() - Method in class org.ddogleg.struct.CircularArray_I8: 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
postUpdateAdjuster - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64: After the parameter array has been update this function is called with the array passed in.
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
printPartials - Variable in class org.ddogleg.chainrule.JacobianNumerical_F64: print out partials before multiplying by dout
PrintStreamInjectIndent - Class in org.ddogleg.util: Injects spaces after new line print printing.
PrintStreamInjectIndent(String, int, PrintStream) - Constructor for class org.ddogleg.util.PrintStreamInjectIndent
PrintStreamInjectIndent.Injector - Class in org.ddogleg.util
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 interface org.ddogleg.optimization.LeastSquaresSwitcher.ProcessJacobianOut: When called it will compute the Jacobian
process(double[]) - Method in class org.ddogleg.optimization.loss.LossCauchy.Function
process(double[]) - Method in class org.ddogleg.optimization.loss.LossHuber.Function
process(double[]) - Method in class org.ddogleg.optimization.loss.LossHuberSmooth.Function
process(double[]) - Method in class org.ddogleg.optimization.loss.LossIdentity.Function
process(double[]) - Method in class org.ddogleg.optimization.loss.LossSquared.Function
process(double[]) - Method in class org.ddogleg.optimization.loss.LossTukey.Function
process(double[]) - Method in class org.ddogleg.optimization.loss.LossWeighted: Computes the lost function
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.invalid input: '<'/p The output's meaning depends on the application.
process(double[], double[]) - Method in interface org.ddogleg.optimization.functions.FunctionNtoN: Processes the function.
process(double[], double[]) - Method in class org.ddogleg.optimization.loss.LossCauchy.Gradient
process(double[], double[]) - Method in class org.ddogleg.optimization.loss.LossHuber.Gradient
process(double[], double[]) - Method in class org.ddogleg.optimization.loss.LossHuberSmooth.Gradient
process(double[], double[]) - Method in class org.ddogleg.optimization.loss.LossIdentity.Gradient
process(double[], double[]) - Method in interface org.ddogleg.optimization.loss.LossIRLS.ComputeWeights
process(double[], double[]) - Method in class org.ddogleg.optimization.loss.LossSquared.Gradient
process(double[], double[]) - Method in class org.ddogleg.optimization.loss.LossTukey.Gradient
process(double[], double[]) - Method in class org.ddogleg.optimization.loss.LossWeighted: Computes the gradient
process(double[], double[]) - Method in class org.ddogleg.optimization.wrap.LsToNonLinearDeriv
process(double[], int, int) - Method in interface org.ddogleg.optimization.AdjustArray_F64: Pass in the array with a sub-array specified
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) - Method in class org.ddogleg.fitting.modelset.distance.StatisticalDistanceModelMatcher
process(List) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares_MT
process(List) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
process(List) - 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) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac_MT
process(List) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
process(List) - 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, int) - Method in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64
process(LArrayAccessor, DogArray_I32, FastAccess) - 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) - 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
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> - 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) - Constructor for class org.ddogleg.sorting.QuickSortComparator
QuickSortComparator(Comparator) - 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(Random, double, double, int) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Creates a random array
random(Random, double, double, int) - Method in class org.ddogleg.chainrule.MathCRMatrixD
random(Random, double, double, int, int) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Creates a matrix with random values
random(Random, double, double, int, int) - Method in class org.ddogleg.chainrule.MathCRMatrixD: Creates a new random matrix
random(Random, double, double, CRMatrix) - Method in class org.ddogleg.chainrule.MathCRMatrixD: Fills the matrix with uniform random values.
random(Random, double, double, CRMatrix) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Fills the matrix with uniformly distributed random values.
random(Random, int, Class) - Static method in class org.ddogleg.chainrule.FactoryCRArray
RANDOM_FOREST - Enum constant in enum class org.ddogleg.nn.ConfigNearestNeighborSearch.Type
randomDraw(List, int, List, 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, Class) - 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, Class) - 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, Class) - 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.
read(A, int) - Method in class org.ddogleg.chainrule.CRMatrix: Copies the passed in array into the referenced array
read(A, int, int) - Method in class org.ddogleg.chainrule.CRArray: Copies the passed in array into the referenced array
RECURSIVE - Static variable in class org.ddogleg.util.VerboseUtils: Pass along these arguments to all fields that support verbose printing too
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) - 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) - Constructor for class org.ddogleg.struct.RecycleManager
RecycleManagerL<T> - Class in org.ddogleg.struct: RecycleManager which maintains a used list.
RecycleManagerL(Class) - Constructor for class org.ddogleg.struct.RecycleManagerL
recycleNode(Node) - 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
remap(int, Sym, int...) - Static method in class org.ddogleg.chainrule.sym.SymOps: Rearranges elements of a vector: mappings[i] says which output each input lands in, -1 drops it
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.CircularArrayBase: Removes an element.
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) - 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) - 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.CircularArrayBase: Removes the first element.
removeHead() - Method in class org.ddogleg.struct.DogLinkedList: Removes the first element from the list
removeRangeM(int, int) - Method in class org.ddogleg.struct.DogArray_B
removeRangeM(int, int) - Method in class org.ddogleg.struct.DogArray_F32
removeRangeM(int, int) - Method in class org.ddogleg.struct.DogArray_F64
removeRangeM(int, int) - Method in class org.ddogleg.struct.DogArray_I16
removeRangeM(int, int) - Method in class org.ddogleg.struct.DogArray_I32
removeRangeM(int, int) - Method in class org.ddogleg.struct.DogArray_I64
removeRangeM(int, int) - Method in class org.ddogleg.struct.DogArray_I8
removeRangeM(int, int) - Method in class org.ddogleg.struct.DogArray: Removes set of elements within the specified range.
removeRangeM(int, int) - Method in interface org.ddogleg.struct.DogArrayPrimitive: Removes set of elements within the specified range.
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
removeSwapVal(T) - Method in class org.ddogleg.struct.FastAccess: Finds the first index of the specified value and removes it from the list by swapping it out.
removeTail() - Method in class org.ddogleg.struct.BigDogArrayBase: Shrinks the array by one
removeTail() - Method in class org.ddogleg.struct.CircularArrayBase: 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.chainrule.CRArray: Ensure that the array has at least this many elements in it
reserve(int) - Method in class org.ddogleg.chainrule.CRMatrix: Ensure that the array has at least this many elements in it
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
reserveIncrease(int) - Method in class org.ddogleg.struct.DogArray: Ensures that the reserve is at lease the current FastAccess.size plus the specified amount.
reserveIncrease(int) - Method in interface org.ddogleg.struct.DogArrayPrimitive: Ensures that the reserve is at lease the current DogArrayPrimitive.size() plus the specified amount.
reset() - Method in class org.ddogleg.chainrule.CRMatrix: Resets the matrix with zeros for rows and cols
reset() - Method in class org.ddogleg.chainrule.grid.ConfigGridCoefND: Resets parameters to an invalid value so you will know if they have been initialled
reset() - Method in class org.ddogleg.chainrule.grid.ConfigGridSplineND: Resets parameters to an invalid value so you will know if they have been initialized
reset() - Method in class org.ddogleg.chainrule.grid.GridCoefND
reset() - Method in class org.ddogleg.chainrule.JacobianSerialChain.Block
reset() - Method in class org.ddogleg.chainrule.JacobianSerialChain.Chain
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.optimization.ConfigGaussNewton
reset() - Method in class org.ddogleg.optimization.ConfigLoss
reset() - Method in class org.ddogleg.optimization.ConfigNonLinearLeastSquares
reset() - Method in class org.ddogleg.optimization.lm.ConfigLevenbergMarquardt
reset() - Method in class org.ddogleg.optimization.trustregion.ConfigTrustRegion
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.CircularArrayBase
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: Deprecated.
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) - Method in class org.ddogleg.struct.DogArray: Deprecated.
reshape(int, int) - Method in class org.ddogleg.chainrule.CRMatrix: Resizes the array and makes sure the data array is large enough
residual(double, Sym, Sym) - Static method in class org.ddogleg.chainrule.sym.SymOps: weight*(observed - estimated): the residual row(s) of one measurement.
residuals - Variable in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
residuals - Variable in class org.ddogleg.chainrule.ops.CRLossHuber
residuals - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
residuals - Variable in class org.ddogleg.optimization.trustregion.TrustRegionLeastSqBase_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 new 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) - Method in class org.ddogleg.struct.BigDogArray: Resizes the array and fills all new elements with the specified value
resize(int, DProcess) - Method in class org.ddogleg.struct.DogArray: Resize with a configuration operator.
resize(int, DProcessIdx) - 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: Changes the size of the inner array.
resizeQueue(int) - Method in class org.ddogleg.struct.CircularArray_F64
resizeQueue(int) - Method in class org.ddogleg.struct.CircularArray_I32: Changes the size of the inner array.
resizeQueue(int) - Method in class org.ddogleg.struct.CircularArray_I64: Changes the size of the inner array.
resizeQueue(int) - Method in class org.ddogleg.struct.CircularArray_I8: Changes the size of the inner array.
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
row - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Grid coordinate point is inside
rows - Variable in class org.ddogleg.chainrule.CRMatrix: Rows and columns in the 2D matrix
rows - Variable in class org.ddogleg.chainrule.grid.ConfigGridCoefND: Number of columns and rows in the grid, padding included
run() - Method in class org.ddogleg.chainrule.JacobianChainGraph.Forward
run(CRArray) - Method in class org.ddogleg.chainrule.JacobianChainGraph.Forward: Runs every block in the order worked out by JacobianChainGraph.GraphConstructor.fixate().
run(CRArray) - Method in class org.ddogleg.chainrule.sym.SymFunction: Runs the forward pass with the current terminal values and writes the residual rows at the output's offset
runJacobian() - Method in class org.ddogleg.chainrule.sym.SymFunction: Runs forward then differentiates, publishing rows at SymFunction.jacobianRow.
RUNTIME - Static variable in class org.ddogleg.util.VerboseUtils: Print verbose information on runtime profiling

S

s(int) - Method in class org.ddogleg.chainrule.CRArray: Array access for type short
s(int, int) - Method in class org.ddogleg.chainrule.CRMatrix: Array access for type short
s(int, int, short) - Method in class org.ddogleg.chainrule.CRMatrix: Array access for type double
s(int, short) - Method in class org.ddogleg.chainrule.CRArray: Array access for type double
sameStateAsCost - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
sampleSize - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: how many points it samples to generate a model from
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
savedLength - Variable in class org.ddogleg.chainrule.JacobianSerialChain.Chain: Where the input for the last block is stored in JacobianSerialChain.savedInputs
SchurJacobian<S> - Interface in org.ddogleg.optimization.functions: Jacobian calculation for use in Schur Complement.
SchurJacobian_to_NtoMxN<T> - Class in org.ddogleg.optimization.wrap: Provides a way to convert a regular Jacobian matrix into a SchurJacobian
SchurJacobian_to_NtoMxN(SchurJacobian) - 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) - 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, 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, DistanceFromModel, 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, List) - Method in interface org.ddogleg.clustering.gmm.InitializeGmm_F64
selectSeeds(LArrayAccessor, List) - 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
selectSmallestErrors(List, int, int, LeastMedianOfSquares.TrialHelper) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Adds the numPts points with the smallest errors to the inlier set and sets the threshold to the largest error
selectThresholdIndex(int, double) - Static method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Index of the element at the specified fraction.
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.CircularArray_F32
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(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) - 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.
setCapture(int, int, JacobianSerialChain.CaptureJacobian) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Specifies a custom function for handling a block's Jacobian.
setCapture(int, JacobianSerialChain.CaptureJacobian) - Method in class org.ddogleg.chainrule.JacobianSerialChain.Block
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
setDefaultValues(double...) - Method in class org.ddogleg.chainrule.ops.CROperatorRemapParams: Assigns the default value for the array
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
setEstimated(double[], int) - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW: Convenient way to set estimated values without using CRArray
setFunction(List, CROperatorForward) - Method in class org.ddogleg.chainrule.GradientNumerical_F64
setFunction(List, CROperatorForward) - Method in class org.ddogleg.chainrule.JacobianNumerical_F64
setFunction(List, CROperatorForward) - Method in interface org.ddogleg.chainrule.GradientNumerical: Sets the function which will be differentiated and other parameters.
setFunction(List, CROperatorForward) - Method in interface org.ddogleg.chainrule.JacobianNumerical: Specifies the function which will be differentiated.
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, FunctionJacobian) - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquaresBase: Specifies a set of functions and their Jacobian.
setFunction(FunctionNtoM, FunctionNtoMxN) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
setFunction(FunctionNtoM, FunctionNtoMxN) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
setFunction(FunctionNtoM, SchurJacobian) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
setFunction(FunctionNtoM, SchurJacobian) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
setFunction(FunctionNtoM, LeastSquaresSwitcher.ProcessJacobianOut) - Method in class org.ddogleg.optimization.LeastSquaresSwitcher: Specifies the cost residual function and it's 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.
setInlierFraction(double) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares: Fraction of samples which will be considered an inlier.
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
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CRLossHuber
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorClampLower
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorConcat
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorDivide
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVS
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorMeanVector
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorMult
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorMultVS
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorPlus
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorPlusAB
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CROperatorRemapParams
setInput(int, CRArray) - Method in class org.ddogleg.chainrule.ops.CRPenaltyL2
setInput(int, CRArray) - Method in interface org.ddogleg.chainrule.CROperatorForward: Specifies the value of an input's vector.
setInputMap(int, int, int) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Used to set the input mapping for a block after it was first added
setJacobianOut(LeastSquaresSwitcher.JacobianOut) - Method in interface org.ddogleg.optimization.LeastSquaresSwitcher.ProcessJacobianOut: Used to pass in the Jacobian storage interface
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
setLoss(LossFunction, LossFunctionGradient) - Method in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64: Specifies the loss function.
setLoss(LossFunction, LossFunctionGradient) - Method in class org.ddogleg.optimization.trustregion.TrustRegionLeastSqBase_F64: Specifies the loss function.
setLoss(LossFunction, LossFunctionGradient) - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquaresBase: Specifies a specialized loss function, typically to improve robustness to outliers.
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, Factory) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares_MT
setModel(Factory, Factory) - Method in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares
setModel(Factory, Factory) - Method in interface org.ddogleg.fitting.modelset.ModelMatcherPost: Specifies the internal model.
setModel(Factory, Factory) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac_MT
setModel(Factory, Factory) - Method in class org.ddogleg.fitting.modelset.ransac.Ransac
setNumberOfFunctions(int) - Method in interface org.ddogleg.optimization.loss.LossFunction
setNumberOfFunctions(int) - Method in interface org.ddogleg.optimization.loss.LossFunctionGradient
setNumberOfFunctions(int) - Method in class org.ddogleg.optimization.loss.LossIRLS
setNumberOfFunctions(int) - Method in class org.ddogleg.optimization.loss.LossWeighted
setObserved(double[], int) - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW: Convenient way to set observed values without using CRArray
setOffset(int) - Method in class org.ddogleg.chainrule.CRArray: Assigns a new value to the offset and returns a reference to 'this' allowing operations to be chained.
setOffset(int) - Method in class org.ddogleg.chainrule.CRMatrix: Assigns a new value to the offset and returns a reference to 'this' allowing operations to be chained.
setPoints(List, 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
setPostUpdate(AdjustArray_F64) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
setPostUpdate(AdjustArray_F64) - Method in class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
setPostUpdate(AdjustArray_F64) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
setPostUpdate(AdjustArray_F64) - Method in class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegionSchur_F64
setPostUpdate(AdjustArray_F64) - Method in interface org.ddogleg.optimization.UnconstrainedLeastSquaresBase: After a step has been computed and applied this function is called with the new candidate state passed in.
setPreForward(int, JacobianSerialChain.PreForward) - Method in class org.ddogleg.chainrule.JacobianSerialChain: Specifies a block's pre-forward hook.
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.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.
setSettings(Map) - Method in interface org.ddogleg.chainrule.CROperatorForward: Reconfigures the block using the specified settings
setSettings(Map) - Method in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
setSettings(Map) - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW
setSettings(Map) - Method in class org.ddogleg.chainrule.ops.CRLossHuber
setSettings(Map) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND
setSettings(Map) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND
setSettings(Map) - Method in class org.ddogleg.chainrule.ops.CROperatorClampLower
setSettings(Map) - Method in class org.ddogleg.chainrule.ops.CROperatorConcat
setSettings(Map) - Method in class org.ddogleg.chainrule.ops.CROperatorDivideVSDamped
setSettings(Map) - Method in class org.ddogleg.chainrule.ops.CROperatorGridBilinearWeights
setSettings(Map) - Method in class org.ddogleg.chainrule.ops.CROperatorMeanVector
setSettings(Map) - Method in class org.ddogleg.chainrule.ops.CRPenaltyL2
setSize(int) - Method in class org.ddogleg.struct.DogArray
setSolver(ConfigNonLinearLeastSquares, boolean, boolean) - Method in class org.ddogleg.optimization.LeastSquaresSwitcher: Used to specify the solver using a configuration which is then passed on to a factory
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
setThreshold(double) - Method in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
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
setting(String) - Static method in class org.ddogleg.chainrule.sym.Sym: Known per-dataset scalar, updated by the caller between datasets
SETTING - Enum constant in enum class org.ddogleg.chainrule.sym.Sym.Kind
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(CRMatrix) - Method in class org.ddogleg.chainrule.CRMatrix: Sets the value of this to be identical to 'src' and returns a refernece to 'this'
setTo(ConfigGridCoefND) - Method in class org.ddogleg.chainrule.grid.ConfigGridCoefND
setTo(ConfigGridSplineND) - Method in class org.ddogleg.chainrule.grid.ConfigGridSplineND
setTo(GridCoefND) - Method in class org.ddogleg.chainrule.grid.GridCoefND
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(ConfigGaussNewton) - Method in class org.ddogleg.optimization.ConfigGaussNewton
setTo(ConfigLoss) - Method in class org.ddogleg.optimization.ConfigLoss
setTo(ConfigNonLinearLeastSquares) - Method in class org.ddogleg.optimization.ConfigNonLinearLeastSquares
setTo(ConfigLevenbergMarquardt) - Method in class org.ddogleg.optimization.lm.ConfigLevenbergMarquardt
setTo(ConfigTrustRegion) - Method in class org.ddogleg.optimization.trustregion.ConfigTrustRegion
setTo(Polynomial) - Method in class org.ddogleg.solver.Polynomial
setTo(CircularArray_F32) - Method in class org.ddogleg.struct.CircularArray_F32
setTo(CircularArray_F64) - Method in class org.ddogleg.struct.CircularArray_F64
setTo(CircularArray_I32) - Method in class org.ddogleg.struct.CircularArray_I32
setTo(CircularArray_I64) - Method in class org.ddogleg.struct.CircularArray_I64
setTo(CircularArray_I8) - Method in class org.ddogleg.struct.CircularArray_I8
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(double) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearND: Assigns the value
setValue(double) - Method in class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND
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: Deprecated.
setVerbose(PrintStream, int) - Method in interface org.ddogleg.optimization.IterativeOptimization: Deprecated.
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) - Method in class org.ddogleg.chainrule.JacobianChainGraph
setVerbose(PrintStream, Set) - Method in class org.ddogleg.chainrule.JacobianSerialChain
setVerbose(PrintStream, Set) - Method in class org.ddogleg.optimization.GaussNewtonBase_F64
setVerbose(PrintStream, Set) - Method in class org.ddogleg.optimization.quasinewton.LineSearchFletcher86
setVerbose(PrintStream, Set) - Method in class org.ddogleg.optimization.quasinewton.LineSearchMore94
setVerbose(PrintStream, Set) - Method in class org.ddogleg.optimization.quasinewton.QuasiNewtonBFGS
setVerbose(PrintStream, Set) - Method in class org.ddogleg.optimization.wrap.QuasiNewtonBFGS_to_UnconstrainedMinimization
setVerbose(PrintStream, Set) - 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
shape(int, int) - Method in class org.ddogleg.chainrule.CRMatrix
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
shiftElements(int, int, int) - Method in class org.ddogleg.struct.CircularArray_F32
shiftElements(int, int, int) - Method in class org.ddogleg.struct.CircularArray_F64
shiftElements(int, int, int) - Method in class org.ddogleg.struct.CircularArray_I32
shiftElements(int, int, int) - Method in class org.ddogleg.struct.CircularArray_I64
shiftElements(int, int, int) - Method in class org.ddogleg.struct.CircularArray_I8
shiftElements(int, int, int) - Method in class org.ddogleg.struct.CircularArray
shiftElements(int, int, int) - Method in class org.ddogleg.struct.CircularArrayBase: Copies the value in the src into dst inside the inner array.
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.chainrule.sym.Sym: Number of values a terminal supplies.
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.CircularArrayBase: number of elements in the queue
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.chainrule.JacobianSerialChain.Chain
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.CircularArrayBase: Number of elements used in the array
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
solver(LinearSolverType) - Static method in class org.ddogleg.optimization.FactoryOptimizationSparse
solverA - Variable in class org.ddogleg.optimization.math.HessianSchurComplement_Base
solverD - Variable in class org.ddogleg.optimization.math.HessianSchurComplement_Base
solverType - Variable in class org.ddogleg.optimization.ConfigGaussNewton: Which linear solver should it use internally.
solverType - Variable in class org.ddogleg.optimization.lm.ConfigLevenbergMarquardt: Which linear solver should it use internally.
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) - 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) - 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) - Method in class org.ddogleg.sorting.QuickSort_S32: Sorts the array and modifies the order in the list the same way
sort(List, int) - Method in class org.ddogleg.sorting.QuickSortComparable
sort(List, 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
squared() - Static method in class org.ddogleg.optimization.FactoryLossFunctions
SQUARED - Enum constant in enum class org.ddogleg.optimization.ConfigLoss.Type
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.CircularArrayBase: index which is the start of the queue
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, ModelGenerator, DistanceFromModel, ModelCodec) - 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 Class in org.ddogleg.struct: Exception which is thrown when a process has been stopped early.
Stopped() - Constructor for exception class org.ddogleg.struct.Stoppable.Stopped
Stopped(String) - Constructor for exception class org.ddogleg.struct.Stoppable.Stopped
storageLossGradient - Variable in class org.ddogleg.optimization.lm.LevenbergMarquardt_F64
storageLossGradient - Variable in class org.ddogleg.optimization.trustregion.TrustRegionLeastSqBase_F64
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, int, int) - Static method in class org.ddogleg.util.SwapElement
swap(DogLinkedList.Element, DogLinkedList.Element) - 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
Sym - Class in org.ddogleg.chainrule.sym: One node of a symbolic expression that SymGraphBuilder compiles onto a chain graph.
Sym.Kind - Enum Class in org.ddogleg.chainrule.sym
SymExtension - Interface in org.ddogleg.chainrule.sym: A node that needs more than its inputs bound: an operator whose parameters are chosen per evaluation, from data the expression cannot name.
SymFunction - Class in org.ddogleg.chainrule.sym: A compiled Sym expression.
SymGraphBuilder - Class in org.ddogleg.chainrule.sym: Compiles a Sym expression onto a JacobianChainGraph: every operator node becomes its own single-block chain, expression edges become cross-chain links, and terminals become the feeds of the returned SymFunction.
SymGraphBuilder() - Constructor for class org.ddogleg.chainrule.sym.SymGraphBuilder
SymGrid - Class in org.ddogleg.chainrule.sym: A bilinear knot grid whose per-knot polynomials are conditional on a value: the composite behind the notation G(u; v), written G.at(u).of(v).
SymGrid(String, ConfigGridCoefND, int, int) - Constructor for class org.ddogleg.chainrule.sym.SymGrid
SymGrid.Read - Class in org.ddogleg.chainrule.sym: A read in progress: SymGrid.at(Sym) fixed the pixel, SymGrid.Read.of(Sym) fixes the conditioning value
SymOps - Class in org.ddogleg.chainrule.sym: Static sugar over Sym.of(CROperatorBackwardsJac) for the operators that exist today.
SymOps() - Constructor for class org.ddogleg.chainrule.sym.SymOps

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_I64: Value of the last element in the queue
tail() - Method in class org.ddogleg.struct.CircularArray_I8: 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
terminal(Sym) - Method in class org.ddogleg.chainrule.sym.SymFunction: The handle backing a terminal, creating it on first use.
threshold - Variable in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
threshold - Variable in class org.ddogleg.chainrule.ops.CRLossHuber
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.chainrule.grid.ConfigGridCoefND
toString() - Method in class org.ddogleg.chainrule.grid.ConfigGridSplineND
toString() - Method in class org.ddogleg.solver.Polynomial
toStringD(String) - Method in class org.ddogleg.chainrule.CRMatrix
toStringD(String, int) - Method in class org.ddogleg.chainrule.CRArray: Converts the array into a String using the provided printf format for each element
toStringM(String) - Method in class org.ddogleg.chainrule.CRMatrix: Creates a string representation of a 2D matrix.
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.
trust - Variable in class org.ddogleg.optimization.ConfigNonLinearLeastSquares
TRUST_REGION - Enum constant in enum class org.ddogleg.optimization.ConfigNonLinearLeastSquares.Type
TrustRegionBase_F64<S,HM> - Class in org.ddogleg.optimization.trustregion: Base class for all trust region implementations.
TrustRegionBase_F64(TrustRegionBase_F64.ParameterUpdate, HM) - Constructor for class org.ddogleg.optimization.trustregion.TrustRegionBase_F64
TrustRegionBase_F64.ParameterUpdate<S> - Interface in org.ddogleg.optimization.trustregion
TrustRegionLeastSqBase_F64<S,HM> - Class in org.ddogleg.optimization.trustregion: Base class for all least squares trust region implementations.
TrustRegionLeastSqBase_F64(TrustRegionBase_F64.ParameterUpdate, HM) - Constructor for class org.ddogleg.optimization.trustregion.TrustRegionLeastSqBase_F64
TrustRegionUpdateCauchy_F64<S> - 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> - 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
tukey(double) - Static method in class org.ddogleg.optimization.FactoryLossFunctions
TUKEY - Enum constant in enum class org.ddogleg.optimization.ConfigLoss.Type
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.optimization.ConfigLoss: Which loss function is to be created
type - Variable in class org.ddogleg.optimization.ConfigNonLinearLeastSquares: Which type of solver should it use
type - Variable in class org.ddogleg.struct.FastAccess

U

UnconLeastSqLevenbergMarquardt_F64<S> - Class in org.ddogleg.optimization.lm: Implementation of LevenbergMarquardt_F64 for UnconstrainedLeastSquares.
UnconLeastSqLevenbergMarquardt_F64(MatrixMath, HessianLeastSquares) - Constructor for class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardt_F64
UnconLeastSqLevenbergMarquardtSchur_F64<S> - Class in org.ddogleg.optimization.lm: Implementation of LevenbergMarquardt_F64 for UnconstrainedLeastSquaresSchur.
UnconLeastSqLevenbergMarquardtSchur_F64(MatrixMath, HessianSchurComplement) - Constructor for class org.ddogleg.optimization.lm.UnconLeastSqLevenbergMarquardtSchur_F64
UnconLeastSqTrustRegion_F64<S> - Class in org.ddogleg.optimization.trustregion: Implementations of Trust Region for UnconstrainedLeastSquares.
UnconLeastSqTrustRegion_F64(TrustRegionBase_F64.ParameterUpdate, HessianLeastSquares, MatrixMath) - Constructor for class org.ddogleg.optimization.trustregion.UnconLeastSqTrustRegion_F64
UnconLeastSqTrustRegionSchur_F64<S> - Class in org.ddogleg.optimization.trustregion: Implementations of UnconstrainedLeastSquaresSchur.
UnconLeastSqTrustRegionSchur_F64(TrustRegionBase_F64.ParameterUpdate, HessianSchurComplement) - 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, HessianBFGS) - Constructor for class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64
UnconstrainedLeastSquares<S> - Interface in org.ddogleg.optimization: Non-linear least squares problems have a special structure which can be taken advantage of for optimization.
UnconstrainedLeastSquaresBase<S, FunctionJacobian> - Interface in org.ddogleg.optimization: Common base for implementations of UnconstrainedLeastSquares that differ in the JacobianFunction
UnconstrainedLeastSquaresSchur<S> - 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
unsafe_set(int, boolean) - Method in class org.ddogleg.struct.DogArray_B
unsafe_set(int, double) - Method in class org.ddogleg.struct.DogArray_F64
unsafe_set(int, float) - Method in class org.ddogleg.struct.DogArray_F32
unsafe_set(int, int) - Method in class org.ddogleg.struct.DogArray_I16
unsafe_set(int, int) - Method in class org.ddogleg.struct.DogArray_I32
unsafe_set(int, int) - Method in class org.ddogleg.struct.DogArray_I8
unsafe_set(int, long) - Method in class org.ddogleg.struct.DogArray_I64
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
value - Variable in class org.ddogleg.chainrule.ops.CROperatorBilinearND: value that the polynomial is being sampled at
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
valueMax - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Range the spline's samples are spread across, evenly.
valueMax - Variable in class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND: The min and max expected values of value
valueMin - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Range the spline's samples are spread across, evenly.
valueMin - Variable in class org.ddogleg.chainrule.ops.CROperatorBilinearSplineND: The min and max expected values of value
valueOf(String) - Static method in enum class org.ddogleg.chainrule.sym.Sym.Kind: Returns the enum constant of this class with the specified name.
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.ConfigLoss.Type: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.ddogleg.optimization.ConfigNonLinearLeastSquares.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 - Variable in class org.ddogleg.chainrule.sym.Sym: Values of a Sym.constant(double...) terminal
values() - Static method in enum class org.ddogleg.chainrule.sym.Sym.Kind: Returns an array containing the constants of this enum class, in the order they are declared.
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.ConfigLoss.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.ConfigNonLinearLeastSquares.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
VERBOSE_PREFIX_LENGTH - Static variable in class org.ddogleg.util.VerboseUtils: Number of characters in the class name prefix in verbose printing
VERBOSE_PRINT_TABLE - Static variable in class org.ddogleg.util.VerboseUtils: Prints a table explaining what the prefixes are
verboseChildren(PrintStream, Set, VerbosePrint...) - Static method in class org.ddogleg.util.VerboseUtils: Function which handles boilerplate for support recursive verbose print
verboseLevel - Variable in class org.ddogleg.optimization.GaussNewtonBase_F64
VerbosePrint - Interface in org.ddogleg.struct: Generic interface for implementing verbose output to a PrintStream.
VerboseUtils - Class in org.ddogleg.util: Various utility functions for use with VerbosePrint
VerboseUtils() - Constructor for class org.ddogleg.util.VerboseUtils
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

w0 - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Blending weights for bilinear interpolation
w1 - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Blending weights for bilinear interpolation
w2 - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Blending weights for bilinear interpolation
w3 - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Blending weights for bilinear interpolation
weight - Variable in class org.ddogleg.chainrule.ops.CRErrorVectorSW: Error weight applied to all elements
weight - Variable in class org.ddogleg.clustering.gmm.GaussianGmm_F64
weights - Variable in class org.ddogleg.clustering.gmm.ExpectationMaximizationGmm_F64.PointInfo
weights - Variable in class org.ddogleg.optimization.loss.LossWeighted: Weight assigned to each function
width - Variable in class org.ddogleg.chainrule.grid.GridNdHelper: Input image shape
width - Variable in class org.ddogleg.chainrule.sym.SymGrid
wolfeCondition(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Method in class org.ddogleg.optimization.trustregion.UnconMinTrustRegionBFGS_F64: Indicates if there's sufficient decrease and curvature.
workErrors - Variable in class org.ddogleg.fitting.modelset.lmeds.LeastMedianOfSquares.TrialHelper
workJac - Variable in class org.ddogleg.chainrule.ops.CRErrorHuberNorm
workJac - Variable in class org.ddogleg.chainrule.ops.CRErrorVectorSW
workJac - Variable in class org.ddogleg.chainrule.ops.CRLossHuber
workJac - Variable in class org.ddogleg.chainrule.ops.CROperatorBilinearND: Workspace for the jacobian
wrap(double...) - Static method in class org.ddogleg.solver.Polynomial: Wraps the polynomial around the array:
f(x) = c[0] + c[1]*x + ...
wrap(A, int) - Method in class org.ddogleg.chainrule.CRArray
wrap(A, int, int, int) - Method in class org.ddogleg.chainrule.CRMatrix
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
write(int) - Method in class org.ddogleg.util.PrintStreamInjectIndent.Injector
write(A, int) - Method in class org.ddogleg.chainrule.CRMatrix: Copies values into the passed in 'dest' array
write(A, int, int) - Method in class org.ddogleg.chainrule.CRArray: Copies values into the passed in 'dest' array

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
zero(CRArray, int) - Method in class org.ddogleg.chainrule.MathCRMatrixD
zero(CRArray, int) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Fills all elements in the array with zero
zero(CRMatrix) - Method in interface org.ddogleg.chainrule.MathCRMatrix: Fills all elements in the matrix with zero
zeroObserved() - Method in class org.ddogleg.chainrule.ops.CRErrorVectorSW: Sets the observed vector to zero.
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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