bisect_gpu.hpp File Reference

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 (const std::vector< NumericT > &diagonal, const std::vector< NumericT > &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 (const viennacl::vector< NumericT > &diagonal, const viennacl::vector< NumericT > &superdiagonal, viennacl::vector< NumericT > &eigenvalues)
	bisect The bisection algorithm computes the eigevalues of a symmetric tridiagonal matrix. More...

Detailed Description

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.