EigenInverse< VectorType > Class Template Reference

#include <deal.II/lac/eigen.h>

Inheritance diagram for EigenInverse< VectorType >:

Classes
struct	AdditionalData

Public Types
typedef types::global_dof_index	size_type

Public Member Functions
	EigenInverse (SolverControl &cn, VectorMemory< VectorType > &mem, const AdditionalData &data=AdditionalData())
virtual	~EigenInverse ()
template<typename MatrixType >
void	solve (double &value, const MatrixType &A, VectorType &x)

Protected Attributes
AdditionalData	additional_data

Additional Inherited Members
Private Types inherited from Solver< VectorType >
typedef VectorType	vector_type
Private Member Functions inherited from Solver< VectorType >
	Solver (SolverControl &solver_control, VectorMemory< VectorType > &vector_memory)
	Solver (SolverControl &solver_control)
boost::signals2::connection	connect (const std_cxx11::function< SolverControl::State(const unsigned int iteration, const double check_value, const VectorType &current_iterate)> &slot)
Private Member Functions inherited from Subscriptor
	Subscriptor ()
	Subscriptor (const Subscriptor &)
	Subscriptor (Subscriptor &&)
virtual	~Subscriptor ()
Subscriptor &	operator= (const Subscriptor &)
Subscriptor &	operator= (Subscriptor &&)
void	subscribe (const char *identifier=0) const
void	unsubscribe (const char *identifier=0) const
unsigned int	n_subscriptions () const
void	list_subscribers () const
template<class Archive >
void	serialize (Archive &ar, const unsigned int version)
Static Private Member Functions inherited from Subscriptor
static ::ExceptionBase &	ExcInUse (int arg1, char *arg2, std::string &arg3)
static ::ExceptionBase &	ExcNoSubscriber (char *arg1, char *arg2)
Private Attributes inherited from Solver< VectorType >
GrowingVectorMemory< VectorType >	static_vector_memory
VectorMemory< VectorType > &	memory
boost::signals2::signal< SolverControl::State(const unsigned int iteration, const double check_value, const VectorType &current_iterate), StateCombiner >	iteration_status

Detailed Description

template<typename VectorType = Vector<double>>
class EigenInverse< VectorType >

Inverse iteration (Wieland) for eigenvalue computations.

This class implements an adaptive version of the inverse iteration by Wieland.

There are two choices for the stopping criterion: by default, the norm of the residual \(A x - l x\) is computed. Since this might not converge to zero for non-symmetric matrices with non-trivial Jordan blocks, it can be replaced by checking the difference of successive eigenvalues. Use AdditionalData::use_residual for switching this option.

Usually, the initial guess entering this method is updated after each step, replacing it with the new approximation of the eigenvalue. Using a parameter AdditionalData::relaxation between 0 and 1, this update can be damped. With relaxation parameter 0, no update is performed. This damping allows for slower adaption of the shift value to make sure that the method converges to the eigenvalue closest to the initial guess. This can be aided by the parameter AdditionalData::start_adaption, which indicates the first iteration step in which the shift value should be adapted.

Author

Guido Kanschat, 2000, 2003

Definition at line 137 of file eigen.h.

Member Typedef Documentation

size_type

template<typename VectorType = Vector<double>>

typedef types::global_dof_index EigenInverse< VectorType >::size_type

Declare type of container size.

Definition at line 143 of file eigen.h.

Constructor & Destructor Documentation

EigenInverse()

template<class VectorType >

EigenInverse< VectorType >::EigenInverse	(	SolverControl &	cn,
		VectorMemory< VectorType > &	mem,
		const AdditionalData &	data = AdditionalData()
	)

Constructor.

Definition at line 309 of file eigen.h.

~EigenInverse()

template<class VectorType >

EigenInverse< VectorType >::~EigenInverse ( )

virtual

Virtual destructor.

Definition at line 320 of file eigen.h.

Member Function Documentation

solve()

template<class VectorType >

template<typename MatrixType >

void EigenInverse< VectorType >::solve	(	double &	value,
		const MatrixType &	A,
		VectorType &	x
	)

Inverse method. value is the start guess for the eigenvalue and x is the (not necessarily normalized, but nonzero) start vector for the power method. After the iteration, value is the approximated eigenvalue and x is the corresponding eigenvector, normalized with respect to the l2-norm.

Definition at line 328 of file eigen.h.

Member Data Documentation

additional_data

template<typename VectorType = Vector<double>>

AdditionalData EigenInverse< VectorType >::additional_data

protected

Flags for execution.

Definition at line 207 of file eigen.h.

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

• deal.II/lac/eigen.h