Standard eigen

Solve eigenvalues and eigenvectors problem. More...

Modules
	monolish::standard_eigen::LOBPCG
	LOBPCG solver.
	monolish::standard_eigen::DC
	Devide and Conquer solver.

Functions
void	monolish::standard_eigen::LOBPCG< MATRIX, Float >::apply_precond (const vector< Float > &r, vector< Float > &z)
void	monolish::standard_eigen::DC< MATRIX, Float >::apply_precond (const vector< Float > &r, vector< Float > &z)
void	monolish::standard_eigen::LOBPCG< MATRIX, Float >::create_precond (MATRIX &A)
void	monolish::standard_eigen::DC< MATRIX, Float >::create_precond (MATRIX &A)
int	monolish::standard_eigen::DC< MATRIX, Float >::LAPACK_DC (MATRIX &A, vector< Float > &lambda)
int	monolish::standard_eigen::LOBPCG< MATRIX, Float >::monolish_LOBPCG (MATRIX &A, vector< Float > &lambda, matrix::Dense< Float > &x)
std::string	monolish::standard_eigen::LOBPCG< MATRIX, Float >::name () const
	get solver name "monolish::standard_eigen::LOBPCG" More...
std::string	monolish::standard_eigen::DC< MATRIX, Float >::name () const
	get solver name "monolish::standard_eigen::DC" More...
int	monolish::standard_eigen::DC< MATRIX, Float >::solve (MATRIX &A, vector< Float > &lambda)
int	monolish::standard_eigen::LOBPCG< MATRIX, Float >::solve (MATRIX &A, vector< Float > &lambda, matrix::Dense< Float > &x)
	calculate eigenvalues and eigenvectors or A by LOBPCG method(lib=0: monolish) More...
std::string	monolish::standard_eigen::LOBPCG< MATRIX, Float >::solver_name () const
	get solver name "LOBPCG" More...
std::string	monolish::standard_eigen::DC< MATRIX, Float >::solver_name () const
	get solver name "DC" More...

Detailed Description

Solve eigenvalues and eigenvectors problem.

Function Documentation

apply_precond() [1/2]

template<typename MATRIX , typename Float >

void monolish::standard_eigen::LOBPCG< MATRIX, Float >::apply_precond ( const vector< Float > &  r, vector< Float > &  z  )

inline

Definition at line 62 of file monolish_standard_eigen.hpp.

apply_precond() [2/2]

template<typename MATRIX , typename Float >

void monolish::standard_eigen::DC< MATRIX, Float >::apply_precond ( const vector< Float > &  r, vector< Float > &  z  )

inline

Definition at line 120 of file monolish_standard_eigen.hpp.

create_precond() [1/2]

template<typename MATRIX , typename Float >

void monolish::standard_eigen::LOBPCG< MATRIX, Float >::create_precond ( MATRIX &  A )

inline

Definition at line 58 of file monolish_standard_eigen.hpp.

create_precond() [2/2]

template<typename MATRIX , typename Float >

void monolish::standard_eigen::DC< MATRIX, Float >::create_precond ( MATRIX &  A )

inline

Definition at line 116 of file monolish_standard_eigen.hpp.

LAPACK_DC()

template<typename MATRIX , typename Float >

int monolish::standard_eigen::DC< MATRIX, Float >::LAPACK_DC ( MATRIX &  A, vector< Float > &  lambda  )

private

monolish_LOBPCG()

template<typename MATRIX , typename Float >

int monolish::standard_eigen::LOBPCG< MATRIX, Float >::monolish_LOBPCG ( MATRIX &  A, vector< Float > &  lambda, matrix::Dense< Float > &  x  )

private

name() [1/2]

template<typename MATRIX , typename Float >

std::string monolish::standard_eigen::LOBPCG< MATRIX, Float >::name ( ) const

inline

get solver name "monolish::standard_eigen::LOBPCG"

Note

• # of computation: 1
• Multi-threading: false
• GPU acceleration: false

Definition at line 73 of file monolish_standard_eigen.hpp.

name() [2/2]

template<typename MATRIX , typename Float >

std::string monolish::standard_eigen::DC< MATRIX, Float >::name ( ) const

inline

get solver name "monolish::standard_eigen::DC"

Note

• # of computation: 1
• Multi-threading: false
• GPU acceleration: false

Definition at line 131 of file monolish_standard_eigen.hpp.

solve() [1/2]

template<typename MATRIX , typename Float >

int monolish::standard_eigen::DC< MATRIX, Float >::solve	(	MATRIX &	A,
		vector< Float > &	lambda
	)

solve() [2/2]

template<typename MATRIX , typename Float >

int monolish::standard_eigen::LOBPCG< MATRIX, Float >::solve	(	MATRIX &	A,
		vector< Float > &	lambda,
		matrix::Dense< Float > &	x
	)

calculate eigenvalues and eigenvectors or A by LOBPCG method(lib=0: monolish)

Parameters

[in]	A	CRS format Matrix
[in]	lambda	up to m smallest eigenvalue
[in]	x	corresponding eigenvectors in Dense matrix format

Returns

error code (only 0 now)

solver_name() [1/2]

template<typename MATRIX , typename Float >

std::string monolish::standard_eigen::LOBPCG< MATRIX, Float >::solver_name ( ) const

inline

get solver name "LOBPCG"

Note

• # of computation: 1
• Multi-threading: false
• GPU acceleration: false

Definition at line 84 of file monolish_standard_eigen.hpp.

solver_name() [2/2]

template<typename MATRIX , typename Float >

std::string monolish::standard_eigen::DC< MATRIX, Float >::solver_name ( ) const

inline

get solver name "DC"

Note

• # of computation: 1
• Multi-threading: false
• GPU acceleration: false

Definition at line 142 of file monolish_standard_eigen.hpp.