tql.cpp File Reference

#include <iostream>
#include "viennacl/scalar.hpp"
#include "viennacl/vector.hpp"
#include "viennacl/linalg/tql2.hpp"

Go to the source code of this file.

Macros
#define	NDEBUG
#define	VIENNACL_WITH_UBLAS
#define	EPS   10.0e-5

Typedefs
typedef float	ScalarType

Functions
template<typename MatrixLayout >
bool	test_eigen_val_vec (viennacl::matrix< ScalarType, MatrixLayout > &Q, std::vector< ScalarType > &eigenvalues, std::vector< ScalarType > &d, std::vector< ScalarType > &e)
template<typename MatrixLayout >
void	test_qr_method_sym ()
int	main ()

Detailed Description

Tests the tql algorithm for eigenvalue computations for symmetric tridiagonal matrices.

Test:

Tests the tql algorithm for eigenvalue computations for symmetric tridiagonal matrices.

Definition in file tql.cpp.

Macro Definition Documentation

#define EPS   10.0e-5

Definition at line 44 of file tql.cpp.

#define NDEBUG

Definition at line 34 of file tql.cpp.

#define VIENNACL_WITH_UBLAS

Definition at line 37 of file tql.cpp.

Typedef Documentation

typedef float ScalarType

Definition at line 49 of file tql.cpp.

Function Documentation

int main

(

)

Definition at line 126 of file tql.cpp.

template<typename MatrixLayout >

bool test_eigen_val_vec	(	viennacl::matrix< ScalarType, MatrixLayout > &	Q,
		std::vector< ScalarType > &	eigenvalues,
		std::vector< ScalarType > &	d,
		std::vector< ScalarType > &	e
	)

Definition at line 57 of file tql.cpp.

template<typename MatrixLayout >

void test_qr_method_sym

(

)

Test the tql2 algorithm for symmetric tridiagonal matrices.

Definition at line 94 of file tql.cpp.