Package mikera.matrixx.decompose

Interface Summary

Interface	Description
IBidiagonalResult
ICholeskyLDUResult
ICholeskyResult	Interface for results of Cholesky Decomposition
IEigenResult
IHessenbergResult	Interface representing the result of a hessenberg decomposition
ILUPResult	Interface for results of LUP decomposition
ILUResult	Interface for results of LU decomposition
IQRResult	QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.
ISVDResult	Interface representing the result of an SVD decomposition

Class Summary

Class	Description
Bidiagonal	API class for performing bidiagonal decompositions
Cholesky	Class implementing Cholesky decomposition A = L.L* Where: A is a symmetric (actually Hermitian), positive-definite matrix and: L is a lower triangular matrix L* is the conjugate transpose of L (which is equal to its transpose, since A is real in Vectorz) See: http://en.wikipedia.org/wiki/Cholesky_decomposition
Eigen
Hessenberg	Public API class for Hessenberg decomposition
LUP
QR	Public API class for QR decomposition QR decomposition decomposes any matrix A such that: A = Q.R Where: Q is an orthogonal matrix R is an upper triangular matrix
SVD	Public API class for SVD decomposition