Package org.ejml.factory

Interface Summary

Interface	Description
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.
LinearSolver<T extends Matrix64F>	An implementation of LinearSolver solves a linear system or inverts 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.
ReducedRowEchelonForm<T extends DenseMatrix64F>	An augmented system matrix is said to be in reduced row echelon form (RREF) if the following are true:
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

Class	Description
DecompositionFactory	Contains operations related to creating and evaluating the quality of common matrix decompositions.
LinearSolverFactory	A factory for generating solvers for systems of the form A*x=b, where A and B are known and x is unknown.

Exception Summary

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