Implementation of the QR method for eigenvalue computations. Experimental. More...
#include "viennacl/vector.hpp"#include "viennacl/matrix.hpp"#include "viennacl/linalg/qr-method-common.hpp"#include "viennacl/linalg/tql2.hpp"#include "viennacl/linalg/prod.hpp"#include <boost/numeric/ublas/vector.hpp>#include <boost/numeric/ublas/matrix.hpp>Go to the source code of this file.
Classes | |
| class | viennacl::linalg::detail::FastMatrix< SCALARTYPE > |
| Internal helper class representing a row-major dense matrix used for the QR method for the purpose of computing eigenvalues. More... | |
Namespaces | |
| viennacl | |
| Main namespace in ViennaCL. Holds all the basic types such as vector, matrix, etc. and defines operations upon them. | |
| viennacl::linalg | |
| Provides all linear algebra operations which are not covered by operator overloads. | |
| viennacl::linalg::detail | |
| Namespace holding implementation details for linear algebra routines. Usually not of interest for a library user. | |
Functions | |
| template<typename SCALARTYPE > | |
| void | viennacl::linalg::detail::final_iter_update_gpu (matrix_base< SCALARTYPE > &A, int n, int last_n, SCALARTYPE q, SCALARTYPE p) |
| template<typename SCALARTYPE , typename VectorType > | |
| void | viennacl::linalg::detail::update_float_QR_column_gpu (matrix_base< SCALARTYPE > &A, const VectorType &buf, viennacl::vector< SCALARTYPE > &buf_vcl, int m, int n, int last_n, bool) |
| template<typename SCALARTYPE , typename MatrixT > | |
| void | viennacl::linalg::detail::final_iter_update (MatrixT &A, int n, int last_n, SCALARTYPE q, SCALARTYPE p) |
| template<typename SCALARTYPE , typename MatrixT > | |
| void | viennacl::linalg::detail::update_float_QR_column (MatrixT &A, const std::vector< SCALARTYPE > &buf, int m, int n, int last_i, bool is_triangular) |
| template<typename SCALARTYPE , typename VectorType > | |
| void | viennacl::linalg::detail::hqr2 (viennacl::matrix< SCALARTYPE > &vcl_H, viennacl::matrix< SCALARTYPE > &V, VectorType &d, VectorType &e) |
| template<typename SCALARTYPE > | |
| bool | viennacl::linalg::detail::householder_twoside (matrix_base< SCALARTYPE > &A, matrix_base< SCALARTYPE > &Q, vector_base< SCALARTYPE > &D, vcl_size_t start) |
| template<typename SCALARTYPE > | |
| void | viennacl::linalg::detail::tridiagonal_reduction (matrix_base< SCALARTYPE > &A, matrix_base< SCALARTYPE > &Q) |
| template<typename SCALARTYPE > | |
| void | viennacl::linalg::detail::qr_method (viennacl::matrix< SCALARTYPE > &A, viennacl::matrix< SCALARTYPE > &Q, std::vector< SCALARTYPE > &D, std::vector< SCALARTYPE > &E, bool is_symmetric=true) |
| template<typename SCALARTYPE > | |
| void | viennacl::linalg::qr_method_nsm (viennacl::matrix< SCALARTYPE > &A, viennacl::matrix< SCALARTYPE > &Q, std::vector< SCALARTYPE > &D, std::vector< SCALARTYPE > &E) |
| template<typename SCALARTYPE > | |
| void | viennacl::linalg::qr_method_sym (viennacl::matrix< SCALARTYPE > &A, viennacl::matrix< SCALARTYPE > &Q, std::vector< SCALARTYPE > &D) |
| template<typename SCALARTYPE > | |
| void | viennacl::linalg::qr_method_sym (viennacl::matrix< SCALARTYPE > &A, viennacl::matrix< SCALARTYPE > &Q, viennacl::vector_base< SCALARTYPE > &D) |
Implementation of the QR method for eigenvalue computations. Experimental.
Definition in file qr-method.hpp.