Proivdes a QR factorization using a block-based approach. Experimental in 1.2.x. More...
#include <utility>#include <iostream>#include <fstream>#include <string>#include <algorithm>#include <vector>#include <math.h>#include <cmath>#include "boost/numeric/ublas/vector.hpp"#include "boost/numeric/ublas/matrix.hpp"#include "boost/numeric/ublas/matrix_proxy.hpp"#include "boost/numeric/ublas/io.hpp"#include "boost/numeric/ublas/matrix_expression.hpp"#include "viennacl/matrix.hpp"#include "viennacl/linalg/prod.hpp"Go to the source code of this file.
Data Structures | |
| class | range |
| class | sub_matrix< MatrixType > |
Namespaces | |
| namespace | viennacl |
| namespace | viennacl::linalg |
Functions | |
| template<typename MatrixType , typename VectorType > | |
| MatrixType::value_type | setup_householder_vector (MatrixType const &A, VectorType &v, size_t j) |
| template<typename MatrixType , typename VectorType , typename ScalarType > | |
| void | householder_reflect (MatrixType &A, VectorType &v, ScalarType beta, size_t j, size_t k) |
| template<typename MatrixType , typename VectorType , typename ScalarType > | |
| void | householder_reflect (MatrixType &A, VectorType &v, ScalarType beta, size_t j) |
| template<typename MatrixType , typename VectorType > | |
| void | write_householder_to_A (MatrixType &A, VectorType const &v, size_t j) |
| template<typename MatrixType , typename VectorType > | |
| void | recoverQ (MatrixType const &A, VectorType const &betas, MatrixType &Q, MatrixType &R) |
| template<typename MatrixType > | |
| std::vector< typename MatrixType::value_type > | qr (MatrixType &A) |
| template<typename MatrixTypeA , typename MatrixTypeB , typename MatrixTypeC > | |
| void | prod_AA (MatrixTypeA const &A, MatrixTypeB const &B, MatrixTypeC &C) |
| template<typename MatrixTypeA , typename MatrixTypeB , typename MatrixTypeC > | |
| void | prod_TA (MatrixTypeA const &A, MatrixTypeB const &B, MatrixTypeC &C) |
| template<typename MatrixType > | |
| std::vector< typename MatrixType::value_type > | inplace_qr (MatrixType &A) |
| template<typename MatrixType > | |
| std::vector< typename MatrixType::value_type > | inplace_qr_ublas (MatrixType &A) |
| template<typename MatrixType > | |
| std::vector< typename MatrixType::value_type > | inplace_qr_pure (MatrixType &A) |
Proivdes a QR factorization using a block-based approach. Experimental in 1.2.x.
1.7.1