Computation of eigenvalues of a large symmetric, tridiagonal matrix. More...
#include <iostream>#include <iomanip>#include <stdlib.h>#include <stdio.h>#include "viennacl/linalg/detail/bisect/config.hpp"#include "viennacl/linalg/detail/bisect/structs.hpp"#include "viennacl/linalg/detail/bisect/bisect_kernel_calls.hpp"Go to the source code of this file.
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 NumericT > | |
| void | viennacl::linalg::detail::computeEigenvaluesLargeMatrix (InputData< NumericT > &input, ResultDataLarge< NumericT > &result, const unsigned int mat_size, const NumericT lg, const NumericT ug, const NumericT precision) |
| template<typename NumericT > | |
| bool | viennacl::linalg::detail::processResultDataLargeMatrix (ResultDataLarge< NumericT > &result, const unsigned int mat_size) |
Computation of eigenvalues of a large symmetric, tridiagonal matrix.
Implementation based on the sample provided with the CUDA 6.0 SDK, for which the creation of derivative works is allowed by including the following statement: "This software contains source code provided by NVIDIA Corporation."
Definition in file bisect_large.hpp.