All Classes

Class	Description
AdjLinearSolverQr_FDRM	A solver for QR decomposition that can efficiently modify the previous decomposition when data is added or removed.
AdjustableLinearSolver_FDRM	In many situations solutions to linear systems that share many of the same data points are needed.
BaseDecomposition_FDRB_to_FDRM	Generic interface for wrapping a FMatrixRBlock decomposition for processing of FMatrixRMaj.
BaseLinearSolverQrp_FDRM	Base class for QR pivot based pseudo inverse classes.
BidiagonalDecompositionRow_FDRM	Performs a BidiagonalDecomposition_F32 using householder reflectors.
BidiagonalDecompositionTall_FDRM	BidiagonalDecomposition_F32 specifically designed for tall matrices.
BidiagonalHelper_FDRB
BlockHouseHolder_FDRB	Contains various helper functions for performing a block matrix QR decomposition.
CholeskyDecomposition_FDRB_to_FDRM	Wrapper around CholeskyOuterForm_FDRB that allows it to process FMatrixRMaj.
CholeskyDecompositionBlock_FDRM	This is an implementation of Cholesky that processes internal submatrices as blocks.
CholeskyDecompositionCommon_FDRM	This is an abstract class for a Cholesky decomposition.
CholeskyDecompositionInner_FDRM	This implementation of a Cholesky decomposition using the inner-product form.
CholeskyDecompositionLDL_FDRM	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_FDRB	Block Cholesky using outer product form.
CholeskyOuterSolver_FDRB	Linear solver that uses a block cholesky decomposition.
CommonOps_FDF2	Common matrix operations for fixed sized matrices which are 2 x 2 or 2 element vectors.
CommonOps_FDF3	Common matrix operations for fixed sized matrices which are 3 x 3 or 3 element vectors.
CommonOps_FDF4	Common matrix operations for fixed sized matrices which are 4 x 4 or 4 element vectors.
CommonOps_FDF5	Common matrix operations for fixed sized matrices which are 5 x 5 or 5 element vectors.
CommonOps_FDF6	Common matrix operations for fixed sized matrices which are 6 x 6 or 6 element vectors.
CommonOps_FDRM	Common matrix operations are contained here.
CovarianceOps_FDRM	Contains operations specific to covariance matrices.
CovarianceRandomDraw_FDRM	Generates random vectors based on a zero mean multivariate Gaussian distribution.
DecompositionFactory_FDRM	Contains operations related to creating and evaluating the quality of common matrix decompositions.
DeterminantFromMinor_FDRM	Computes the determinant of a matrix using Laplace expansion.
EigenOps_FDRM	Additional functions related to eigenvalues and eigenvectors of a matrix.
EigenPowerMethod_FDRM	The power method is an iterative method that can be used to find dominant eigen vector in a matrix.
EigenvalueExtractor_FDRM
EigenvalueSmall_F32
FMatrixComponent	Renders a matrix as an image.
FMatrixVisualization	Functions for visualizing matrices in a GUI matrices.
GenericMatrixOps_F32
HessenbergSimilarDecomposition_FDRM	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_FDMA	Implementations of common ops routines for FMatrixRMaj.
ImplCommonOps_FDRM	Implementations of common ops routines for FMatrixRMaj.
InnerCholesky_FDRB	Performs a cholesky decomposition on an individual inner block.
InnerMultiplication_FDRB	Matrix multiplication for the inner row major blocks, typically inside of a FMatrixRBlock.
InnerRankUpdate_FDRB	Performs rank-n update operations on the inner blocks of a FMatrixRBlock It is assumed and not checked that the submatrices are aligned along the matrix's blocks.
InnerTriangularSolver_FDRB	Contains triangular solvers for inner blocks of a FMatrixRBlock.
InvertUsingSolve_FDRM	A matrix can be easily inverted by solving a system with an identify matrix.
LinearSolver_FDRB_to_FDRM	Wrapper that allows FMatrixRBlock to implements LinearSolverDense.
LinearSolverAbstract_FDRM	An abstract class that provides some common functionality and a default implementation of invert that uses the solve function of the child class.
LinearSolverChol_FDRB	A wrapper around CholeskyDecomposition_F32(FMatrixRBlock) that allows it to be easily used with FMatrixRMaj.
LinearSolverChol_FDRM
LinearSolverCholLDL_FDRM
LinearSolverFactory_FDRM	A factory for generating solvers for systems of the form A*x=b, where A and B are known and x is unknown.
LinearSolverLu_FDRM	For each column in the B matrix it makes a copy, which is then solved for and writen into X.
LinearSolverLuBase_FDRM
LinearSolverLuKJI_FDRM	To avoid cpu cache issues the order in which the arrays are traversed have been changed.
LinearSolverQr_FDRM	A solver for a generic QR decomposition algorithm.
LinearSolverQrBlock64_FDRM	Wrapper around QrHouseHolderSolver_FDRB that allows it to process FMatrixRMaj.
LinearSolverQrHouse_FDRM	QR decomposition can be used to solve for systems.
LinearSolverQrHouseCol_FDRM	QR decomposition can be used to solve for systems.
LinearSolverQrHouseTran_FDRM	QR decomposition can be used to solve for systems.
LinearSolverQrpHouseCol_FDRM	Performs a pseudo inverse solver using the QRColPivDecompositionHouseholderColumn_FDRM decomposition directly.
LinearSolverUnrolled_FDRM	Solver which uses an unrolled inverse to compute the inverse.
LUDecompositionAlt_FDRM	An LU decomposition algorithm that originally came from Jama.
LUDecompositionBase_FDRM	Contains common data structures and operations for LU decomposition algorithms.
MatrixFeatures_FDF2	Matrix features for fixed sized matrices which are 2 x 2 or 2 element vectors.
MatrixFeatures_FDF3	Matrix features for fixed sized matrices which are 3 x 3 or 3 element vectors.
MatrixFeatures_FDF4	Matrix features for fixed sized matrices which are 4 x 4 or 4 element vectors.
MatrixFeatures_FDF5	Matrix features for fixed sized matrices which are 5 x 5 or 5 element vectors.
MatrixFeatures_FDF6	Matrix features for fixed sized matrices which are 6 x 6 or 6 element vectors.
MatrixFeatures_FDRM	Used to compute features that describe the structure of a matrix.
MatrixMatrixMult_FDRM	This class contains various types of matrix matrix multiplication operations for FMatrix1Row.
MatrixMult_FDRB	Matrix multiplication for FMatrixRBlock.
MatrixMultProduct_FDRM	Specialized operations for performing inner and outer products for matrices.
MatrixOps_FDRB	Various operations on FMatrixRBlock.
MatrixVectorMult_FDRM	This class contains various types of matrix vector multiplcation operations for FMatrixRMaj.
NormOps_FDF2	Matrix norm related operations for fixed sized matrices of size 2.
NormOps_FDF3	Matrix norm related operations for fixed sized matrices of size 3.
NormOps_FDF4	Matrix norm related operations for fixed sized matrices of size 4.
NormOps_FDF5	Matrix norm related operations for fixed sized matrices of size 5.
NormOps_FDF6	Matrix norm related operations for fixed sized matrices of size 6.
NormOps_FDRM	Norms are a measure of the size of a vector or a matrix.
QRColPivDecompositionHouseholderColumn_FDRM	Performs QR decomposition with column pivoting.
QRDecomposition_FDRB_to_FDRM	Wrapper that allows QRDecomposition(FMatrixRBlock) to be used as a QRDecomposition(FMatrixRMaj).
QRDecompositionHouseholder_FDRB	QR decomposition for FMatrixRBlock using householder reflectors.
QRDecompositionHouseholder_FDRM	This variation of QR decomposition uses reflections to compute the Q matrix.
QRDecompositionHouseholderColumn_FDRM	Householder QR decomposition is rich in operations along the columns of the matrix.
QRDecompositionHouseholderTran_FDRM	Householder QR decomposition is rich in operations along the columns of the matrix.
QrHelperFunctions_FDRM	Contains different functions that are useful for computing the QR decomposition of a matrix.
QrHouseHolderSolver_FDRB	A solver for QRDecompositionHouseholder_FDRB.
QrUpdate_FDRM	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_FDRM	Contains a list of functions for creating random row real matrices and vectors with different structures.
RrefGaussJordanRowPivot_FDRM	Reduction to RREF using Gauss-Jordan elimination with row (partial) pivots.
SafeSvd_FDRM	Wraps around a SingularValueDecomposition and ensures that the input is not modified.
SingularOps_FDRM	Operations related to singular value decomposition.
SolveNullSpaceQR_FDRM	Uses QR decomposition to find the null-space for a matrix of any shape if the number of singular values is known.
SolveNullSpaceQRP_FDRM	Uses QR decomposition to find the null-space for a matrix of any shape if the number of singular values is known.=
SolveNullSpaceSvd_FDRM
SolvePseudoInverseQrp_FDRM	A pseudo inverse solver for a generic QR column pivot decomposition algorithm.
SolvePseudoInverseSvd_FDRM	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_FDRM	This contains less common or more specialized matrix operations.
SubmatrixOps_FDRM	Operations that are performed on a submatrix inside a larger matrix.
SvdImplicitQrAlgorithm_FDRM	Computes the QR decomposition of a bidiagonal matrix.
SvdImplicitQrDecompose_FDRM	Computes the Singular value decomposition of a matrix using the implicit QR algorithm for singular value decomposition.
SwitchingEigenDecomposition_FDRM	Checks to see what type of matrix is being decomposed and calls different eigenvalue decomposition algorithms depending on the results.
SymmetricQrAlgorithm_FDRM	Computes the eigenvalues and eigenvectors of a symmetric tridiagonal matrix using the symmetric QR algorithm.
SymmetricQRAlgorithmDecomposition_FDRM	Computes the eigenvalues and eigenvectors of a real symmetric matrix using the symmetric implicit QR algorithm.
SymmetricQREigenHelper_FDRM	A helper class for the symmetric matrix implicit QR algorithm for eigenvalue decomposition.
TransposeAlgs_FDRM	Low level transpose algorithms.
TriangularSolver_FDRB	Contains triangular solvers for FMatrixRBlock block aligned sub-matrices.
TriangularSolver_FDRM	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_FDRB_to_FDRM	Wrapper around a block implementation of TridiagonalSimilarDecomposition_F32
TridiagonalDecompositionHouseholder_FDRB	Tridiagonal similar decomposition for block matrices.
TridiagonalDecompositionHouseholder_FDRM	Performs a similar tridiagonal decomposition on a square symmetric input matrix.
TridiagonalDecompositionHouseholderOrig_FDRM	A straight forward implementation from "Fundamentals of Matrix Computations," Second Edition. This is only saved to provide a point of reference in benchmarks.
TridiagonalHelper_FDRB
UnrolledCholesky_FDRM	Performs an unrolled lower cholesky decomposition for small matrices.
UnrolledDeterminantFromMinor_FDRM	This code was auto generated by GenerateDeterminantFromMinor and should not be modified directly.
UnrolledInverseFromMinor_FDRM	This code was auto generated by GenerateInverseFromMinor and should not be modified directly.
UtilDecompositons_FDRM	Helper functions for generic decompsotions.
VectorOps_FDRB	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_FDRM	Operations that involve multiplication of two vectors.
WatchedDoubleStepQRDecomposition_FDRM	Finds the eigenvalue decomposition of an arbitrary square matrix using the implicit float-step QR algorithm.
WatchedDoubleStepQREigen_FDRM	The float step implicit Eigenvalue decomposition algorithm is fairly complicated and needs to be designed so that it can handle several special cases.
WatchedDoubleStepQREigenvalue_FDRM
WatchedDoubleStepQREigenvector_FDRM