Kaskade::Optimization Class Reference

#include <optimization.hh>

Detailed Description

Definition at line 128 of file optimization.hh.

Inheritance diagram for Kaskade::Optimization:

Public Member Functions
	Optimization (AbstractNormalDirection &normalSolver, AbstractTangentialSpace &tangentSpace_, AbstractScalarProduct &nL, OptimizationParameters const &p_, double omegaCinit=1, double omegaLinit=1, int verbose=1)
	Create Newton's Method, providing a solver, a norm and algorithmic parameters. More...
	Optimization (AbstractNormalDirection &normalSolver, AbstractScalarProduct &nL, AbstractScalarProduct &nC, AbstractChart const &chart_, OptimizationParameters const &p_, int verbose=1)
	Optimization (AbstractScalarProduct &nL, AbstractScalarProduct &nC, AbstractChart const &chart_, OptimizationParameters const &p_, AbstractCompositeStepErrorEstimator *errorEstimator_, int verbose=1)
	Create Newton's Method, providing a solver, a norm and algorithmic parameters. More...
virtual	~Optimization ()
void	solve (AbstractFunctional &fN, AbstractFunctional &fT, AbstractFunctionSpaceElement &x)
	Solve the system f=0 with starting value x. On (successful) exit, the solution is x, otherwise it is left unmodified. More...
void	solve (AbstractFunctional &fN, AbstractFunctional &fT, AbstractFunctionSpaceElement &x, AbstractHierarchicalErrorEstimator &hbErrorEstimator_)
	Solve the system f=0 with starting value x. On (successful) exit, the solution is x, otherwise it is left unmodified. More...
void	solve (AbstractFunctional &f, AbstractFunctionSpaceElement &x, AbstractHierarchicalErrorEstimator &errorEstimator)
void	performTiming (bool doit)
void	reportOnIteration (int level)

Public Attributes
size_t	step = 0

Protected Member Functions
virtual void	initialize ()
virtual void	finalize (int)
int	algorithmWrapper ()
	Run algorithm, completely with initialization and finalization. More...
int	oneStepWrapper ()
	Run one step of algorithm. More...

Protected Attributes
int	report

Constructor & Destructor Documentation

Optimization() [1/3]

Kaskade::Optimization::Optimization	(	AbstractNormalDirection &	normalSolver,
		AbstractTangentialSpace &	tangentSpace_,
		AbstractScalarProduct &	nL,
		OptimizationParameters const &	p_,
		double	omegaCinit = 1,
		double	omegaLinit = 1,
		int	verbose = 1
	)

Create Newton's Method, providing a solver, a norm and algorithmic parameters.

Optimization() [2/3]

Kaskade::Optimization::Optimization	(	AbstractNormalDirection &	normalSolver,
		AbstractScalarProduct &	nL,
		AbstractScalarProduct &	nC,
		AbstractChart const &	chart_,
		OptimizationParameters const &	p_,
		int	verbose = 1
	)

Optimization() [3/3]

Kaskade::Optimization::Optimization	(	AbstractScalarProduct &	nL,
		AbstractScalarProduct &	nC,
		AbstractChart const &	chart_,
		OptimizationParameters const &	p_,
		AbstractCompositeStepErrorEstimator *	errorEstimator_,
		int	verbose = 1
	)

Create Newton's Method, providing a solver, a norm and algorithmic parameters.

~Optimization()

virtual Kaskade::Optimization::~Optimization ( )

virtual

Member Function Documentation

algorithmWrapper()

int Kaskade::Algorithm::algorithmWrapper ( )

protectedinherited

Run algorithm, completely with initialization and finalization.

finalize()

virtual void Kaskade::Algorithm::finalize ( int  )

inlineprotectedvirtualinherited

Reimplemented in Kaskade::SimpleAdaptiveRefinement, Kaskade::TestErrorEstimator, and Kaskade::NewtonsMethod.

Definition at line 186 of file algorithm_base.hh.

initialize()

virtual void Kaskade::Algorithm::initialize ( )

inlineprotectedvirtualinherited

Reimplemented in Kaskade::SimpleAdaptiveRefinement, Kaskade::TestErrorEstimator, Kaskade::HomotopyBase, Kaskade::InteriorPointSqrtModel, Kaskade::InteriorPointSlopeEstimate, Kaskade::NewtonsMethod, Kaskade::DampedCovariantNewtonMethod, and Kaskade::StateConstraintsNewtonMethod.

Definition at line 185 of file algorithm_base.hh.

oneStepWrapper()

int Kaskade::Algorithm::oneStepWrapper ( )

protectedinherited

Run one step of algorithm.

performTiming()

void Kaskade::Algorithm::performTiming ( bool  doit )

inlineinherited

Definition at line 181 of file algorithm_base.hh.

reportOnIteration()

void Kaskade::Algorithm::reportOnIteration ( int  level )

inlineinherited

Definition at line 182 of file algorithm_base.hh.

solve() [1/3]

void Kaskade::Optimization::solve	(	AbstractFunctional &	f,
		AbstractFunctionSpaceElement &	x,
		AbstractHierarchicalErrorEstimator &	errorEstimator
	)

solve() [2/3]

void Kaskade::Optimization::solve	(	AbstractFunctional &	fN,
		AbstractFunctional &	fT,
		AbstractFunctionSpaceElement &	x
	)

Solve the system f=0 with starting value x. On (successful) exit, the solution is x, otherwise it is left unmodified.

solve() [3/3]

void Kaskade::Optimization::solve	(	AbstractFunctional &	fN,
		AbstractFunctional &	fT,
		AbstractFunctionSpaceElement &	x,
		AbstractHierarchicalErrorEstimator &	hbErrorEstimator_
	)

Solve the system f=0 with starting value x. On (successful) exit, the solution is x, otherwise it is left unmodified.

Do adaptive mesh refinement as soon as local convergence sets in

Member Data Documentation

report

int Kaskade::Algorithm::report

protectedinherited

Definition at line 193 of file algorithm_base.hh.

Referenced by Kaskade::Algorithm::reportOnIteration().

step

size_t Kaskade::Optimization::step = 0

Definition at line 223 of file optimization.hh.

---

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

• optimization.hh