gsStaticOpt< T, Optimizer > Class Template Reference

Detailed Description

template<class T, class Optimizer = gsGradientDescent<T>>
class gismo::gsStaticOpt< T, Optimizer >

Static solver using the Dynamic Relaxation method.

Template Parameters

T	The coefficient type.
Optimizer	The optimizer type (default is gsGradientDescent<T>).

This class inherits from gsStaticBase and provides functionality for solving static optimization problems using the Dynamic Relaxation method.

Inheritance diagram for gsStaticOpt< T, Optimizer >:

Collaboration diagram for gsStaticOpt< T, Optimizer >:

Public Member Functions
virtual bool	converged () const
	Returns whether the solver converged or not.
void	defaultOptions () override
	See gsStaticBase.
void	getOptions () override
	See gsStaticBase.
	gsStaticOpt (const ALResidual_t &ALResidual, const index_t numDofs)
	Constructor for gsStaticOpt with arc-length residual function.
	gsStaticOpt (const Residual_t &Residual, const index_t numDofs)
	Constructor for gsStaticOpt.
T	indicator (const gsSparseMatrix< T > &, T)
	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.
gsOptionList &	optimizerOptions ()
	Returns the optimizer options.
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.
gsStatus	solve () override
	gsStaticBase base functions
gsVector< T >	stabilityVec (const gsSparseMatrix< T > &, T)
	Returns the stability vector.
virtual gsStatus	status () const
	Returns the status.
virtual void	stepOutput (index_t)
	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.
void	_init ()
	Initializes the method.
void	_solve ()
	See solve()

Constructor & Destructor Documentation

gsStaticOpt() [1/2]

template<class T , class Optimizer = gsGradientDescent<T>>

gsStaticOpt ( const Residual_t &  Residual, const index_t  numDofs  )

inline

Constructor for gsStaticOpt.

Parameters

Residual	The residual function.
numDofs	The number of degrees of freedom.

gsStaticOpt() [2/2]

template<class T , class Optimizer = gsGradientDescent<T>>

gsStaticOpt ( const ALResidual_t &  ALResidual, const index_t  numDofs  )

inline

Constructor for gsStaticOpt with arc-length residual function.

Parameters

ALResidual	The arc-length residual function.
numDofs	The number of degrees of freedom.

Member Function Documentation

optimizerOptions()

template<class T , class Optimizer = gsGradientDescent<T>>

gsOptionList & optimizerOptions ( )

inline

Returns the optimizer options.

Returns

A reference to the optimizer options.

solve()

template<class T , class Optimizer >

gsStatus solve ( )

overridevirtual

gsStaticBase base functions

See gsStaticBase

Implements gsStaticBase< T >.