Kaskade::LagrangeLinearization Class Reference

#include <lagrangeLinearization.hh>

Detailed Description

Definition at line 11 of file lagrangeLinearization.hh.

Inheritance diagram for Kaskade::LagrangeLinearization:

Public Member Functions
	LagrangeLinearization (AbstractLinearization *Nlin_, AbstractLinearization *Tlin_, AbstractFunctionSpaceElement const &adjointCorrection, int stateId_=1, int controlId_=0, bool hasTlin_uu_=false)
virtual	~LagrangeLinearization ()
virtual double	eval () const
	Evaluate f(origin) More...
virtual double	evalL1norm () const
	Evaluate L1 norm of integrand. More...
virtual void	evald (AbstractFunctionSpaceElement &g, int rbegin=0, int rend=-1) const
	Evaluate f'(origin)(.) + <Lag. Multiplier, c'(origin)(.) > this is dual element. More...
virtual void	d2axpy (double a, AbstractFunctionSpaceElement &y, AbstractFunctionSpaceElement const &x, int rbegin=0, int rend=-1, int cbegin=0, int cend=-1) const
	Evaluate scaled hessian (of Lagrangian) times second argument. More...
virtual void	d2taxpy (double a, AbstractFunctionSpaceElement &y, AbstractFunctionSpaceElement const &x, int rbegin=0, int rend=-1, int cbegin=0, int cend=-1) const
	Evaluate hessian times second argument: y = y+a*ddf*x. More...
virtual AbstractFunctionSpaceElement const &	getOrigin () const
	Get point of linearization. More...
virtual void	precompute ()
	Precompute data. More...
virtual void	flush ()
AbstractLinearization &	getTangentialLinearization ()
AbstractLinearization const &	getTangentialLinearization () const
AbstractLinearization &	getNormalLinearization ()
AbstractLinearization const &	getNormalLinearization () const
virtual void	getMatrixBlocks (MatrixAsTriplet< double > &mat, int rbegin=0, int rend=-1, int cbegin=0, int cend=-1) const
	Access matrix representation if available. More...
void	ddxpy (AbstractFunctionSpaceElement &y, AbstractFunctionSpaceElement const &x, int rbegin=0, int rend=-1, int cbegin=0, int cend=-1) const
	Evaluate hessian times second argument: y = y+ddf*x. More...
void	ddtxpy (AbstractFunctionSpaceElement &y, AbstractFunctionSpaceElement const &x, int rbegin=0, int rend=-1, int cbegin=0, int cend=-1) const
	Evaluate hessian times second argument: y = y+ddf*x. More...

Constructor & Destructor Documentation

LagrangeLinearization()

Kaskade::LagrangeLinearization::LagrangeLinearization	(	AbstractLinearization *	Nlin_,
		AbstractLinearization *	Tlin_,
		AbstractFunctionSpaceElement const &	adjointCorrection,
		int	stateId_ = 1,
		int	controlId_ = 0,
		bool	hasTlin_uu_ = false
	)

~LagrangeLinearization()

virtual Kaskade::LagrangeLinearization::~LagrangeLinearization ( )

virtual

Member Function Documentation

d2axpy()

virtual void Kaskade::LagrangeLinearization::d2axpy ( double  a, AbstractFunctionSpaceElement &  y, AbstractFunctionSpaceElement const &  x, int  rbegin = 0, int  rend = -1, int  cbegin = 0, int  cend = -1  ) const

virtual

Evaluate scaled hessian (of Lagrangian) times second argument.

Implements Kaskade::AbstractLinearization.

d2taxpy()

virtual void Kaskade::LagrangeLinearization::d2taxpy ( double  a, AbstractFunctionSpaceElement &  y, AbstractFunctionSpaceElement const &  x, int  rbegin = 0, int  rend = -1, int  cbegin = 0, int  cend = -1  ) const

virtual

Evaluate hessian times second argument: y = y+a*ddf*x.

Implements Kaskade::AbstractLinearization.

ddtxpy()

void Kaskade::AbstractLinearization::ddtxpy ( AbstractFunctionSpaceElement &  y, AbstractFunctionSpaceElement const &  x, int  rbegin = 0, int  rend = -1, int  cbegin = 0, int  cend = -1  ) const

inlineinherited

Evaluate hessian times second argument: y = y+ddf*x.

Definition at line 181 of file abstract_interface.hh.

ddxpy()

void Kaskade::AbstractLinearization::ddxpy ( AbstractFunctionSpaceElement &  y, AbstractFunctionSpaceElement const &  x, int  rbegin = 0, int  rend = -1, int  cbegin = 0, int  cend = -1  ) const

inlineinherited

Evaluate hessian times second argument: y = y+ddf*x.

Definition at line 176 of file abstract_interface.hh.

eval()

virtual double Kaskade::LagrangeLinearization::eval ( ) const

virtual

Evaluate f(origin)

Implements Kaskade::AbstractLinearization.

evald()

virtual void Kaskade::LagrangeLinearization::evald ( AbstractFunctionSpaceElement &  g, int  rbegin = 0, int  rend = -1  ) const

virtual

Evaluate f'(origin)(.) + <Lag. Multiplier, c'(origin)(.) > this is dual element.

Implements Kaskade::AbstractLinearization.

evalL1norm()

virtual double Kaskade::LagrangeLinearization::evalL1norm ( ) const

virtual

Evaluate L1 norm of integrand.

Implements Kaskade::AbstractLinearization.

flush()

virtual void Kaskade::LagrangeLinearization::flush ( )

virtual

Implements Kaskade::AbstractLinearization.

getMatrixBlocks()

virtual void Kaskade::LagrangeLinearization::getMatrixBlocks ( MatrixAsTriplet< double > &  mat, int  rbegin = 0, int  rend = -1, int  cbegin = 0, int  cend = -1  ) const

virtual

Access matrix representation if available.

Implements Kaskade::AbstractLinearization.

getNormalLinearization() [1/2]

AbstractLinearization & Kaskade::LagrangeLinearization::getNormalLinearization

(

)

getNormalLinearization() [2/2]

AbstractLinearization const & Kaskade::LagrangeLinearization::getNormalLinearization

(

)

const

getOrigin()

virtual AbstractFunctionSpaceElement const & Kaskade::LagrangeLinearization::getOrigin ( ) const

virtual

Get point of linearization.

Implements Kaskade::AbstractLinearization.

getTangentialLinearization() [1/2]

AbstractLinearization & Kaskade::LagrangeLinearization::getTangentialLinearization

(

)

getTangentialLinearization() [2/2]

AbstractLinearization const & Kaskade::LagrangeLinearization::getTangentialLinearization

(

)

const

precompute()

virtual void Kaskade::LagrangeLinearization::precompute ( )

virtual

Precompute data.

Implements Kaskade::AbstractLinearization.

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

• lagrangeLinearization.hh