All Classes

Class	Description
AdjLinearSolverQr_DDRM	A solver for QR decomposition that can efficiently modify the previous decomposition when data is added or removed.
AdjustableLinearSolver_DDRM	In many situations solutions to linear systems that share many of the same data points are needed.
BaseDecomposition_DDRB_to_DDRM	Generic interface for wrapping a DMatrixRBlock decomposition for processing of DMatrixRMaj.
BaseLinearSolverQrp_DDRM	Base class for QR pivot based pseudo inverse classes.
BidiagonalDecompositionRow_DDRM	Performs a BidiagonalDecomposition_F64 using householder reflectors.
BidiagonalDecompositionTall_DDRM	BidiagonalDecomposition_F64 specifically designed for tall matrices.
BidiagonalHelper_DDRB
BlockHouseHolder_DDRB	Contains various helper functions for performing a block matrix QR decomposition.
CholeskyDecomposition_DDRB_to_DDRM	Wrapper around CholeskyOuterForm_DDRB that allows it to process DMatrixRMaj.
CholeskyDecompositionBlock_DDRM	This is an implementation of Cholesky that processes internal submatrices as blocks.
CholeskyDecompositionCommon_DDRM	This is an abstract class for a Cholesky decomposition.
CholeskyDecompositionInner_DDRM	This implementation of a Cholesky decomposition using the inner-product form.
CholeskyDecompositionLDL_DDRM	This variant on the Cholesky decomposition avoid the need to take the square root by performing the following decomposition: L*D*LT=A where L is a lower triangular matrix with zeros on the diagonal.
CholeskyOuterForm_DDRB	Block Cholesky using outer product form.
CholeskyOuterSolver_DDRB	Linear solver that uses a block cholesky decomposition.
CommonOps_DDF2	Common matrix operations for fixed sized matrices which are 2 x 2 or 2 element vectors.
CommonOps_DDF3	Common matrix operations for fixed sized matrices which are 3 x 3 or 3 element vectors.
CommonOps_DDF4	Common matrix operations for fixed sized matrices which are 4 x 4 or 4 element vectors.
CommonOps_DDF5	Common matrix operations for fixed sized matrices which are 5 x 5 or 5 element vectors.
CommonOps_DDF6	Common matrix operations for fixed sized matrices which are 6 x 6 or 6 element vectors.
CommonOps_DDRM	Common matrix operations are contained here.
CovarianceOps_DDRM	Contains operations specific to covariance matrices.
CovarianceRandomDraw_DDRM	Generates random vectors based on a zero mean multivariate Gaussian distribution.
DecompositionFactory_DDRM	Contains operations related to creating and evaluating the quality of common matrix decompositions.
DeterminantFromMinor_DDRM	Computes the determinant of a matrix using Laplace expansion.
DMatrixComponent	Renders a matrix as an image.
DMatrixVisualization	Functions for visualizing matrices in a GUI matrices.
EigenOps_DDRM	Additional functions related to eigenvalues and eigenvectors of a matrix.
EigenPowerMethod_DDRM	The power method is an iterative method that can be used to find dominant eigen vector in a matrix.
EigenvalueExtractor_DDRM
EigenvalueSmall_F64
GenericMatrixOps_F64
HessenbergSimilarDecomposition_DDRM	Finds the decomposition of a matrix in the form of: A = OHOT where A is an m by m matrix, O is an orthogonal matrix, and H is an upper Hessenberg matrix.
ImplCommonOps_DDMA	Implementations of common ops routines for DMatrixRMaj.
ImplCommonOps_DDRM	Implementations of common ops routines for DMatrixRMaj.
InnerCholesky_DDRB	Performs a cholesky decomposition on an individual inner block.
InnerMultiplication_DDRB	Matrix multiplication for the inner row major blocks, typically inside of a DMatrixRBlock.
InnerRankUpdate_DDRB	Performs rank-n update operations on the inner blocks of a DMatrixRBlock It is assumed and not checked that the submatrices are aligned along the matrix's blocks.
InnerTriangularSolver_DDRB	Contains triangular solvers for inner blocks of a DMatrixRBlock.
InvertUsingSolve_DDRM	A matrix can be easily inverted by solving a system with an identify matrix.
LinearSolver_DDRB_to_DDRM	Wrapper that allows DMatrixRBlock to implements LinearSolverDense.
LinearSolverAbstract_DDRM	An abstract class that provides some common functionality and a default implementation of invert that uses the solve function of the child class.
LinearSolverChol_DDRB	A wrapper around CholeskyDecomposition_F64(DMatrixRBlock) that allows it to be easily used with DMatrixRMaj.
LinearSolverChol_DDRM
LinearSolverCholLDL_DDRM
LinearSolverFactory_DDRM	A factory for generating solvers for systems of the form A*x=b, where A and B are known and x is unknown.
LinearSolverLu_DDRM	For each column in the B matrix it makes a copy, which is then solved for and writen into X.
LinearSolverLuBase_DDRM
LinearSolverLuKJI_DDRM	To avoid cpu cache issues the order in which the arrays are traversed have been changed.
LinearSolverQr_DDRM	A solver for a generic QR decomposition algorithm.
LinearSolverQrBlock64_DDRM	Wrapper around QrHouseHolderSolver_DDRB that allows it to process DMatrixRMaj.
LinearSolverQrHouse_DDRM	QR decomposition can be used to solve for systems.
LinearSolverQrHouseCol_DDRM	QR decomposition can be used to solve for systems.
LinearSolverQrHouseTran_DDRM	QR decomposition can be used to solve for systems.
LinearSolverQrpHouseCol_DDRM	Performs a pseudo inverse solver using the QRColPivDecompositionHouseholderColumn_DDRM decomposition directly.
LinearSolverUnrolled_DDRM	Solver which uses an unrolled inverse to compute the inverse.
LUDecompositionAlt_DDRM	An LU decomposition algorithm that originally came from Jama.
LUDecompositionBase_DDRM	Contains common data structures and operations for LU decomposition algorithms.
MatrixFeatures_DDF2	Matrix features for fixed sized matrices which are 2 x 2 or 2 element vectors.
MatrixFeatures_DDF3	Matrix features for fixed sized matrices which are 3 x 3 or 3 element vectors.
MatrixFeatures_DDF4	Matrix features for fixed sized matrices which are 4 x 4 or 4 element vectors.
MatrixFeatures_DDF5	Matrix features for fixed sized matrices which are 5 x 5 or 5 element vectors.
MatrixFeatures_DDF6	Matrix features for fixed sized matrices which are 6 x 6 or 6 element vectors.
MatrixFeatures_DDRM	Used to compute features that describe the structure of a matrix.
MatrixMatrixMult_DDRM	This class contains various types of matrix matrix multiplication operations for DMatrix1Row.
MatrixMult_DDRB	Matrix multiplication for DMatrixRBlock.
MatrixMultProduct_DDRM	Specialized operations for performing inner and outer products for matrices.
MatrixOps_DDRB	Various operations on DMatrixRBlock.
MatrixVectorMult_DDRM	This class contains various types of matrix vector multiplcation operations for DMatrixRMaj.
NormOps_DDF2	Matrix norm related operations for fixed sized matrices of size 2.
NormOps_DDF3	Matrix norm related operations for fixed sized matrices of size 3.
NormOps_DDF4	Matrix norm related operations for fixed sized matrices of size 4.
NormOps_DDF5	Matrix norm related operations for fixed sized matrices of size 5.
NormOps_DDF6	Matrix norm related operations for fixed sized matrices of size 6.
NormOps_DDRM	Norms are a measure of the size of a vector or a matrix.
QRColPivDecompositionHouseholderColumn_DDRM	Performs QR decomposition with column pivoting.
QRDecomposition_DDRB_to_DDRM	Wrapper that allows QRDecomposition(DMatrixRBlock) to be used as a QRDecomposition(DMatrixRMaj).
QRDecompositionHouseholder_DDRB	QR decomposition for DMatrixRBlock using householder reflectors.
QRDecompositionHouseholder_DDRM	This variation of QR decomposition uses reflections to compute the Q matrix.
QRDecompositionHouseholderColumn_DDRM	Householder QR decomposition is rich in operations along the columns of the matrix.
QRDecompositionHouseholderTran_DDRM	Householder QR decomposition is rich in operations along the columns of the matrix.
QrHelperFunctions_DDRM	Contains different functions that are useful for computing the QR decomposition of a matrix.
QrHouseHolderSolver_DDRB	A solver for QRDecompositionHouseholder_DDRB.
QrUpdate_DDRM	The effects of adding and removing rows from the A matrix in a QR decomposition can be computed much faster than simply recomputing the whole decomposition.
RandomMatrices_DDRM	Contains a list of functions for creating random row real matrices and vectors with different structures.
RrefGaussJordanRowPivot_DDRM	Reduction to RREF using Gauss-Jordan elimination with row (partial) pivots.
SafeSvd_DDRM	Wraps around a SingularValueDecomposition and ensures that the input is not modified.
SingularOps_DDRM	Operations related to singular value decomposition.
SolveNullSpaceQR_DDRM	Uses QR decomposition to find the null-space for a matrix of any shape if the number of singular values is known.
SolveNullSpaceQRP_DDRM	Uses QR decomposition to find the null-space for a matrix of any shape if the number of singular values is known.=
SolveNullSpaceSvd_DDRM
SolvePseudoInverseQrp_DDRM	A pseudo inverse solver for a generic QR column pivot decomposition algorithm.
SolvePseudoInverseSvd_DDRM	The pseudo-inverse is typically used to solve over determined system for which there is no unique solution. x=inv(ATA)ATb where A ∈ ℜ m × n and m ≥ n.
SpecializedOps_DDRM	This contains less common or more specialized matrix operations.
SubmatrixOps_DDRM	Operations that are performed on a submatrix inside a larger matrix.
SvdImplicitQrAlgorithm_DDRM	Computes the QR decomposition of a bidiagonal matrix.
SvdImplicitQrDecompose_DDRM	Computes the Singular value decomposition of a matrix using the implicit QR algorithm for singular value decomposition.
SwitchingEigenDecomposition_DDRM	Checks to see what type of matrix is being decomposed and calls different eigenvalue decomposition algorithms depending on the results.
SymmetricQrAlgorithm_DDRM	Computes the eigenvalues and eigenvectors of a symmetric tridiagonal matrix using the symmetric QR algorithm.
SymmetricQRAlgorithmDecomposition_DDRM	Computes the eigenvalues and eigenvectors of a real symmetric matrix using the symmetric implicit QR algorithm.
SymmetricQREigenHelper_DDRM	A helper class for the symmetric matrix implicit QR algorithm for eigenvalue decomposition.
TransposeAlgs_DDRM	Low level transpose algorithms.
TriangularSolver_DDRB	Contains triangular solvers for DMatrixRBlock block aligned sub-matrices.
TriangularSolver_DDRM	This contains algorithms for solving systems of equations where T is a non-singular triangular matrix: T*x = b where x and b are vectors, and T is an n by n matrix.
TridiagonalDecomposition_DDRB_to_DDRM	Wrapper around a block implementation of TridiagonalSimilarDecomposition_F64
TridiagonalDecompositionHouseholder_DDRB	Tridiagonal similar decomposition for block matrices.
TridiagonalDecompositionHouseholder_DDRM	Performs a similar tridiagonal decomposition on a square symmetric input matrix.
TridiagonalDecompositionHouseholderOrig_DDRM	A straight forward implementation from "Fundamentals of Matrix Computations," Second Edition. This is only saved to provide a point of reference in benchmarks.
TridiagonalHelper_DDRB
UnrolledCholesky_DDRM	Performs an unrolled lower cholesky decomposition for small matrices.
UnrolledDeterminantFromMinor_DDRM	This code was auto generated by GenerateDeterminantFromMinor and should not be modified directly.
UnrolledInverseFromMinor_DDRM	This code was auto generated by GenerateInverseFromMinor and should not be modified directly.
UtilDecompositons_DDRM	Helper functions for generic decompsotions.
VectorOps_DDRB	Math operations for inner vectors (row and column) inside of block matrices: scale: bi = α*ai div: i = ai/α add: ci = α*ai + βBi dot: c = sum ai*bi
VectorVectorMult_DDRM	Operations that involve multiplication of two vectors.
WatchedDoubleStepQRDecomposition_DDRM	Finds the eigenvalue decomposition of an arbitrary square matrix using the implicit double-step QR algorithm.
WatchedDoubleStepQREigen_DDRM	The double step implicit Eigenvalue decomposition algorithm is fairly complicated and needs to be designed so that it can handle several special cases.
WatchedDoubleStepQREigenvalue_DDRM
WatchedDoubleStepQREigenvector_DDRM