MINLP::ConstraintView Class Reference

#include <MINLP.h>

Inheritance diagram for MINLP::ConstraintView:

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Collaboration diagram for MINLP::ConstraintView:

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List of all members.

Public Member Functions
	ConstraintView (const MINLPData::Constraint &con_)
int	dim () const
int	index () const
bool	equality () const
const string &	name () const
SepQcFunc::ftype	functype () const
Func::CurvatureType	curvature () const
double	evaluate (const UserVector< double > &x) const
	Evaluates the constraint.
void	gradient (UserVector< double > &grad, const UserVector< double > &x) const
	Computes the gradient of the constraint.
double	evaluate_and_gradient (UserVector< double > &grad, const UserVector< double > &x) const
	Evaluates the constraint and computes is gradient.
void	hessianmult (UserVector< double > &prod, const UserVector< double > &x, const UserVector< double > &factor) const
	Computes the product of the hessian with a vector.

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Detailed Description

Definition at line 45 of file MINLP.h.

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Constructor & Destructor Documentation

MINLP::ConstraintView::ConstraintView

(

const MINLPData::Constraint &

con_

)

[inline]

Definition at line 47 of file MINLP.h.

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Member Function Documentation

int MINLP::ConstraintView::dim

(

)

const [inline, virtual]

Reimplemented from MINLP::ObjConView< MINLPData::Constraint >.

Definition at line 51 of file MINLP.h.

int MINLP::ConstraintView::index

(

)

const [inline, virtual]

Implements MINLPView::ConstraintView.

Definition at line 52 of file MINLP.h.

bool MINLP::ConstraintView::equality

(

)

const [inline, virtual]

Implements MINLPView::ConstraintView.

Definition at line 53 of file MINLP.h.

const string& MINLP::ConstraintView::name

(

)

const [inline, virtual]

Reimplemented from MINLP::ObjConView< MINLPData::Constraint >.

Definition at line 54 of file MINLP.h.

SepQcFunc::ftype MINLP::ConstraintView::functype

(

)

const [inline, virtual]

Reimplemented from MINLP::ObjConView< MINLPData::Constraint >.

Definition at line 55 of file MINLP.h.

Func::CurvatureType MINLP::ConstraintView::curvature

(

)

const [inline, virtual]

Reimplemented from MINLP::ObjConView< MINLPData::Constraint >.

Definition at line 56 of file MINLP.h.

double MINLP::ConstraintView::evaluate

(

const UserVector< double > &

x

)

const [inline, virtual]

Evaluates the constraint.

TODO: Can throw an evaluation exception.

Parameters:

x

The point where to evaluate the constraint.

Returns:

The value of the constraint in x.

Reimplemented from MINLP::ObjConView< MINLPData::Constraint >.

Definition at line 58 of file MINLP.h.

void MINLP::ConstraintView::gradient	(	UserVector< double > &	grad,
		const UserVector< double > &	x
	)			const [inline, virtual]

Computes the gradient of the constraint.

TODO: Can throw an evaluation exception.

Parameters:

	grad	The vector to store the gradient in.
	x	The point where to compute the gradient.

Reimplemented from MINLP::ObjConView< MINLPData::Constraint >.

Definition at line 61 of file MINLP.h.

double MINLP::ConstraintView::evaluate_and_gradient	(	UserVector< double > &	grad,
		const UserVector< double > &	x
	)			const [inline, virtual]

Evaluates the constraint and computes is gradient.

TODO: Can throw an evaluation exception.

Parameters:

	grad	The vector where the gradient is stored.
	x	The point where to evaluate the constraint and to compute the gradient.

Returns:

The value of the constraint.

Reimplemented from MINLP::ObjConView< MINLPData::Constraint >.

Definition at line 64 of file MINLP.h.

void MINLP::ConstraintView::hessianmult	(	UserVector< double > &	prod,
		const UserVector< double > &	x,
		const UserVector< double > &	factor
	)			const [inline, virtual]

Computes the product of the hessian with a vector.

TODO: Can throw an evaluation exception.

Parameters:

	prod	The vector to store the product in.
	x	The point where to evaluate the constraint.
	factor	The vector to multiply the hessian with.

Reimplemented from MINLP::ObjConView< MINLPData::Constraint >.

Definition at line 66 of file MINLP.h.

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

• MINLP.h