gsStaticBase< T > Class Template Reference

Detailed Description

template<class T>
class gismo::gsStaticBase< T >

Base class for static solvers.

Template Parameters

T	coefficient type

Inheritance diagram for gsStaticBase< T >:

Collaboration diagram for gsStaticBase< T >:

Public Member Functions
virtual bool	converged () const
	Returns whether the solver converged or not.
virtual void	defaultOptions ()
	Get default options.
virtual void	getOptions ()
	Apply the options.
virtual T	indicator (const gsSparseMatrix< T > &jacMat, T shift=-1e-2)
	Returns the stability indicator.
virtual void	initialize ()
	See gsStaticBase.
virtual void	initOutput ()
	Initialize output.
virtual index_t	iterations () const
	Returns the number of iterations.
virtual index_t	numDofs ()
	Returns the number of DoFs of the system.
virtual gsOptionList	options () const
	Get options.
virtual void	reset ()
	Reset the stored solution.
virtual void	setDisplacement (const gsVector< T > &displacement)
	Set the displacement.
virtual void	setLoad (const T L)
	Set the load.
virtual void	setOptions (gsOptionList &options)
	Set the options from options.
virtual void	setSolution (const gsVector< T > &displacement, const T L)
	Set the displacement and the load.
virtual gsVector< T >	solution () const
	Access the solution.
virtual gsStatus	solve ()=0
	Solve.
virtual gsVector< T >	stabilityVec (const gsSparseMatrix< T > &jacMat, T shift=-1e-2)
	Returns the stability vector.
virtual gsStatus	status () const
	Returns the status.
virtual void	stepOutput (index_t k)
	Stepwise output.
virtual gsVector< T >	update () const
	Access the update.

Protected Member Functions
virtual bool	_computeStability (const gsSparseMatrix< T > &jacMat, T shift)
	Computes the stability of the Jacobian, optionally applying a shift (if provided)
virtual bool	_computeStabilityDet (const gsSparseMatrix< T > &jacMat)
	Computes the stability vector using the determinant of the Jacobian.
virtual bool	_computeStabilityEig (const gsSparseMatrix< T > &jacMat, T shift)
	Computes the stability vector using the eigenvalues of the Jacobian, optionally applying a shift.