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NlpSimpleGrads Class Reference
[NlpSupport, NlpSupport]

An implementation of NlpGrads that does not add slack variables, or otherwise alter the values of the gradients of the objective or constraint functions, except by removing elements corresponding to fixed variables. More...

#include <NlpSimple.hh>

Inheritance diagram for NlpSimpleGrads:

List of all members.

Public Methods
	NlpSimpleGrads (IotrVector *rawG, IotrVector *yz, GenMatrix *J, ElementGather *aXfilter, NlpBounds *bounds)
	Constructor.
virtual void	getObjectiveGradient (IotrVector &g)
	Get mG.
virtual void	jacobianTransposeMult (double alpha, IotrVector &x, double beta, IotrVector &y)
	Compute y = beta * y + alpha * J` * x.
virtual void	jacobianTransposeMult (double alpha, IotrVector &y, IotrVector &lambda, IotrVector &pi, IotrVector &gamma, IotrVector &phi, double beta, IotrVector &x)
virtual void	jacobianMult (double alpha, IotrVector &x, double beta, IotrVector &y)
	Compute y = beta * y + alpha * J * x.
virtual void	condensedJacobianMult (double alpha, IotrVector &x, double beta, IotrVector &y)
	Compute y = beta * y + alpha * J * x.
virtual void	inspect ()
virtual void	inspectAsMatlab ()
Protected Attributes
IotrVectorHandle	mRawG
	Stores the current gradient of the objective.
IotrVectorHandle	mYz
	Stores the current gradient of the objective.
GenMatrixHandle	mJ
	Stores the current constraint Jacobian.

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Detailed Description

An implementation of NlpGrads that does not add slack variables, or otherwise alter the values of the gradients of the objective or constraint functions, except by removing elements corresponding to fixed variables.

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

• NlpSimple.hh

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