RelaxSolver< T > Class Template Reference

#include <RelaxSolver.H>

Inheritance diagram for RelaxSolver< T >:

Public Member Functions
	RelaxSolver ()
virtual	~RelaxSolver ()
virtual void	setHomogeneous (bool a_homogeneous)
virtual void	define (LinearOp< T > *a_op, bool a_homogeneous)
virtual void	solve (T &a_phi, const T &a_rhs)
Public Member Functions inherited from LinearSolver< T >
virtual	~LinearSolver ()
virtual void	setConvergenceMetrics (Real a_metric, Real a_tolerance)
	Set a convergence metric, along with solver tolerance, if desired. More...

Public Attributes
bool	m_homogeneous
LinearOp< T > *	m_op
int	m_imax
int	m_normType
int	m_verbosity
Real	m_eps
Real	m_hang

Private Attributes
Real	m_minNorm

Detailed Description

template<class T>
class RelaxSolver< T >

Iterative solver which only uses the operator's preconditioner. Probably only useful as a bottom solver.

Constructor & Destructor Documentation

template<class T >

RelaxSolver< T >::RelaxSolver

(

)

template<class T >

RelaxSolver< T >::~RelaxSolver ( )

virtual

Member Function Documentation

template<class T >

virtual void RelaxSolver< T >::setHomogeneous ( bool  a_homogeneous )

inlinevirtual

Set whether the solver uses only homogeneous boundary conditions

Implements LinearSolver< T >.

References RelaxSolver< T >::m_homogeneous.

template<class T >

void RelaxSolver< T >::define ( LinearOp< T > *  a_op, bool  a_homogeneous  )

virtual

Define the solver. a_op is the linear operator.

Implements LinearSolver< T >.

template<class T >

void RelaxSolver< T >::solve ( T &  a_phi, const T &  a_rhs  )

virtual

Solve L(phi) = rho

Implements LinearSolver< T >.

References CH_assert, CH_TIME, norm(), and pout().

Member Data Documentation

template<class T >

bool RelaxSolver< T >::m_homogeneous

public member data: whether or not to use inhomogeneous boundary conditions.

Referenced by RelaxSolver< T >::setHomogeneous().

template<class T >

LinearOp<T>* RelaxSolver< T >::m_op

public member data: linear operator.

template<class T >

int RelaxSolver< T >::m_imax

public member data: maximum number of iterations

template<class T >

int RelaxSolver< T >::m_normType

public member data: which type of norm to use (default is 2-norm)

template<class T >

int RelaxSolver< T >::m_verbosity

public member data: how much screen output user wants

template<class T >

Real RelaxSolver< T >::m_eps

public member data: solver tolerance

template<class T >

Real RelaxSolver< T >::m_hang

public member data: hang when min(previous residual norms) < m_hang * current residual norm (default is zero – don't check for hanging)

template<class T >

Real RelaxSolver< T >::m_minNorm

private

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

• RelaxSolver.H