Implementation of an bisection algorithm for eigenvalues. More...
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include "viennacl/scalar.hpp"
#include "viennacl/vector.hpp"
#include "viennacl/matrix.hpp"
#include "viennacl/linalg/detail/bisect/structs.hpp"
#include "viennacl/linalg/detail/bisect/gerschgorin.hpp"
#include "viennacl/linalg/detail/bisect/bisect_large.hpp"
#include "viennacl/linalg/detail/bisect/bisect_small.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. | |
Functions | |
template<typename NumericT > | |
bool | viennacl::linalg::bisect (std::vector< NumericT > const &diagonal, std::vector< NumericT > const &superdiagonal, std::vector< NumericT > &eigenvalues) |
bisect The bisection algorithm computes the eigevalues of a symmetric tridiagonal matrix. More... | |
template<typename NumericT > | |
bool | viennacl::linalg::bisect (viennacl::vector< NumericT > const &diagonal, viennacl::vector< NumericT > const &superdiagonal, viennacl::vector< NumericT > &eigenvalues) |
bisect The bisection algorithm computes the eigevalues of a symmetric tridiagonal matrix. More... | |
Implementation of an bisection algorithm for eigenvalues.
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_gpu.hpp.