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.