Package org.ejml.alg.dense.decomposition

Interface Summary

CholeskyDecomposition<MatrixType extends Matrix64F>	Cholesky decomposition for DenseMatrix64F.
DecompositionInterface<T extends Matrix64F>	An interface for performing matrix decompositions on a DenseMatrix64F.
EigenDecomposition<MatrixType extends Matrix64F>	This is a generic interface for computing the eigenvalues and eigenvectors of a matrix.
LUDecomposition<T extends Matrix64F>	LU Decomposition refactors the original matrix such that: PT*L*U = A where P is a pivot matrix, L is a lower triangular matrix, U is an upper triangular matrix and A is the original matrix.
QRDecomposition<T extends Matrix64F>	QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.
QRPDecomposition<T extends Matrix64F>	Similar to QRDecomposition but it can handle the rank deficient case by performing column pivots during the decomposition.
SingularValueDecomposition<T extends Matrix64F>	This is an abstract class for computing the singular value decomposition (SVD) of a matrix, which is defined as: A = U * W * V T where A is m by n, and U and V are orthogonal matrices, and W is a diagonal matrix.

Class Summary

BaseDecompositionBlock64	Generic interface for wrapping a BlockMatrix64F decomposition for processing of DenseMatrix64F.
DecompositionFactory	Contains operations related to creating and evaluating the quality of common matrix decompositions.
TriangularSolver	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.

Exception Summary

SingularMatrixException

This exception is thrown if an operation can not be finished because the matrix is singular.