#include <SymEigsBase.h>

Public Member Functions
Index	compute (Index maxit=1000, Scalar tol=1e-10, int sort_rule=LARGEST_ALGE)

Vector	eigenvalues () const

virtual Matrix	eigenvectors (Index nvec) const

virtual Matrix	eigenvectors () const

int	info () const

void	init (const Scalar *init_resid)

void	init ()

Index	num_iterations () const

Index	num_operations () const

Protected Member Functions
virtual void	sort_ritzpair (int sort_rule)

Protected Attributes
LanczosFac	m_fac

const Index	m_n

const Index	m_ncv

const Index	m_nev

Index	m_niter

Index	m_nmatop

OpType *	m_op

Vector	m_ritz_val

Private Types
typedef ArnoldiOp< Scalar, OpType, BOpType >	ArnoldiOpType

typedef Eigen::Array< Scalar, Eigen::Dynamic, 1 >	Array

typedef Eigen::Array< bool, Eigen::Dynamic, 1 >	BoolArray

typedef Eigen::Index	Index

typedef Lanczos< Scalar, ArnoldiOpType >	LanczosFac

typedef Eigen::Map< const Vector >	MapConstVec

typedef Eigen::Map< Matrix >	MapMat

typedef Eigen::Map< Vector >	MapVec

typedef Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic >	Matrix

typedef Eigen::Matrix< Scalar, Eigen::Dynamic, 1 >	Vector

Private Member Functions
Index	nev_adjusted (Index nconv)

Index	num_converged (Scalar tol)

void	restart (Index k)

void	retrieve_ritzpair ()

Private Attributes
const Scalar	m_eps

const Scalar	m_eps23

int	m_info

const Scalar	m_near_0

BoolArray	m_ritz_conv

Vector	m_ritz_est

Matrix	m_ritz_vec

Detailed Description

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>
class Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >

This is the base class for symmetric eigen solvers, mainly for internal use. It is kept here to provide the documentation for member functions of concrete eigen solvers such as SymEigsSolver and SymEigsShiftSolver.

Definition at line 44 of file SymEigsBase.h.

Member Typedef Documentation

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

typedef ArnoldiOp<Scalar, OpType, BOpType> Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::ArnoldiOpType

private

Definition at line 56 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

typedef Eigen::Array<Scalar, Eigen::Dynamic, 1> Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::Array

private

Definition at line 50 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

typedef Eigen::Array<bool, Eigen::Dynamic, 1> Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::BoolArray

private

Definition at line 51 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

typedef Eigen::Index Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::Index

private

Definition at line 47 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

typedef Lanczos<Scalar, ArnoldiOpType> Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::LanczosFac

private

Definition at line 57 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

typedef Eigen::Map<const Vector> Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::MapConstVec

private

Definition at line 54 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

typedef Eigen::Map<Matrix> Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::MapMat

private

Definition at line 52 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

typedef Eigen::Map<Vector> Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::MapVec

private

Definition at line 53 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

typedef Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic> Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::Matrix

private

Definition at line 48 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

typedef Eigen::Matrix<Scalar, Eigen::Dynamic, 1> Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::Vector

private

Definition at line 49 of file SymEigsBase.h.

Member Function Documentation

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

Index Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::compute	(	Index	maxit = `1000`,
		Scalar	tol = `1e-10`,
		int	sort_rule = `LARGEST_ALGE`
	)

inline

Conducts the major computation procedure.

Parameters

maxit	Maximum number of iterations allowed in the algorithm.
tol	Precision parameter for the calculated eigenvalues.
sort_rule	Rule to sort the eigenvalues and eigenvectors. Supported values are `Spectra::LARGEST_ALGE`, `Spectra::LARGEST_MAGN`, `Spectra::SMALLEST_ALGE` and `Spectra::SMALLEST_MAGN`, for example `LARGEST_ALGE` indicates that largest eigenvalues come first. Note that this argument is only used to sort the final result, and the selection rule (e.g. selecting the largest or smallest eigenvalues in the full spectrum) is specified by the template parameter `SelectionRule` of SymEigsSolver.

Returns: Number of converged eigenvalues.

Definition at line 334 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

Vector Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::eigenvalues ( ) const

inline

Returns the converged eigenvalues.

Returns: A vector containing the eigenvalues. Returned vector type will be Eigen::Vector<Scalar, ...>, depending on the template parameter Scalar defined.

Definition at line 382 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

virtual Matrix Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::eigenvectors ( Index nvec ) const

inlinevirtual

Returns the eigenvectors associated with the converged eigenvalues.

Parameters

nvec	The number of eigenvectors to return.

Returns: A matrix containing the eigenvectors. Returned matrix type will be Eigen::Matrix<Scalar, ...>, depending on the template parameter Scalar defined.

Definition at line 412 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

virtual Matrix Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::eigenvectors ( ) const

inlinevirtual

Returns all converged eigenvectors.

Definition at line 440 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

int Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::info ( ) const

inline

Returns the status of the computation. The full list of enumeration values can be found in Enumerations.

Definition at line 363 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

void Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::init ( const Scalar * init_resid )

inline

Initializes the solver by providing an initial residual vector.

Parameters

init_resid Pointer to the initial residual vector.

Spectra (and also ARPACK) uses an iterative algorithm to find eigenvalues. This function allows the user to provide the initial residual vector.

Definition at line 281 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

void Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::init ( )

inline

Initializes the solver by providing a random initial residual vector.

This overloaded function generates a random initial residual vector (with a fixed random seed) for the algorithm. Elements in the vector follow independent Uniform(-0.5, 0.5) distribution.

Definition at line 309 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

Index Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::nev_adjusted ( Index nconv )

inlineprivate

Definition at line 125 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

Index Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::num_converged ( Scalar tol )

inlineprivate

Definition at line 113 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

Index Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::num_iterations ( ) const

inline

Returns the number of iterations used in the computation.

Definition at line 368 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

Index Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::num_operations ( ) const

inline

Returns the number of matrix operations used in the computation.

Definition at line 373 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

void Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::restart ( Index k )

inlineprivate

Definition at line 85 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

void Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::retrieve_ritzpair ( )

inlineprivate

Definition at line 148 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

virtual void Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::sort_ritzpair ( int sort_rule )

inlineprotectedvirtual

Reimplemented in Spectra::SymEigsShiftSolver< Scalar, SelectionRule, OpType >.

Definition at line 194 of file SymEigsBase.h.

Member Data Documentation

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

const Scalar Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_eps

private

Definition at line 80 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

const Scalar Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_eps23

private

Definition at line 81 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

LanczosFac Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_fac

protected

Definition at line 69 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

int Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_info

private

Definition at line 76 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

const Index Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_n

protected

Definition at line 63 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

const Index Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_ncv

protected

Definition at line 65 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

const Scalar Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_near_0

private

Definition at line 78 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

const Index Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_nev

protected

Definition at line 64 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

Index Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_niter

protected

Definition at line 67 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

Index Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_nmatop

protected

Definition at line 66 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

OpType* Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_op

protected

Definition at line 61 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

BoolArray Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_ritz_conv

private

Definition at line 75 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

Vector Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_ritz_est

private

Definition at line 74 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

Vector Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_ritz_val

protected

Definition at line 70 of file SymEigsBase.h.

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>

Matrix Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >::m_ritz_vec

private

Definition at line 73 of file SymEigsBase.h.

The documentation for this class was generated from the following file:

SymEigsBase.h

Public Member Functions

Protected Member Functions

Protected Attributes

Private Types

Private Member Functions

Private Attributes

Detailed Description

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType> class Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >

Member Typedef Documentation

Member Function Documentation

Member Data Documentation

template<typename Scalar, int SelectionRule, typename OpType, typename BOpType>
class Spectra::SymEigsBase< Scalar, SelectionRule, OpType, BOpType >