OpendTect
6.6
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QRSolver - QR decomposition of a matrix A For an m-by-n matrix A, with m>=n, the QR decomposition is A = Q*R, where Q is an m-by-n orthogonal matrix, and R is an n-by-n upper-triangular matrix. More...
Public Member Functions | |
QRSolver (const Array2D< T > &A) | |
~QRSolver () | |
const Array1DImpl< T > * | apply (const Array1D< T > &B) const |
const Array1DImpl< T > * | apply (const Array2D< T > &B) const |
const Array2DImpl< T > * | getQ () const |
const Array2DImpl< T > * | getR () const |
bool | isFullRank () |
Protected Attributes | |
bool | isfullrank_ |
int | m_ |
int | n_ |
Array2DImpl< T > | qr_ |
Array1DImpl< T > * | rdiag_ |
QRSolver - QR decomposition of a matrix A For an m-by-n matrix A, with m>=n, the QR decomposition is A = Q*R, where Q is an m-by-n orthogonal matrix, and R is an n-by-n upper-triangular matrix.
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Generated at for the OpendTect seismic interpretation project. Copyright (C): dGB Beheer B.V. 1995-2022