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NlpSlackGrads Class Reference

An implementation of NlpGrads that transparently includes the gradients of slack variables amoung the other gradients. More...

#include <NlpSlack.hh>

Inheritance diagram for NlpSlackGrads:

List of all members.

Public Methods
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 &y)
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
GenMatrixHandle	mJJ
	Stores the current constraint Jacobian.

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Detailed Description

An implementation of NlpGrads that transparently includes the gradients of slack variables amoung the other gradients.

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

• NlpSlack.hh

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