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.