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CuterDenseFunctional Class Reference
[CuterSupport]

An implementation of CuterFunctional that uses dense matrices. More...

#include <CuterDenseFunctional.hh>

Inheritance diagram for CuterDenseFunctional:

List of all members.

Public Methods
	CuterDenseFunctional (CuterAdaptor &a)
	Constructor.
virtual PrimalDualSystem *	newPrimalDualSystem (ElementGather *iclow, ElementGather *icupp, ElementGather *ieq, ElementGather *ixlow, ElementGather *ixupp, IotrMask *aXmask)
virtual GenMatrix *	newJacobianMatrix () const
virtual SymMatrix *	newHessianMatrix () const
virtual void	writeConfiguration (std::ostream &out, char indent[])
Protected Methods
virtual void	concreteGrads (IotrVector &g, GenMatrix &J, IotrVector &x)
	Computes the constraint Jacobian and the Lagrangian evaluated at x and Lm.
virtual void	concreteHess (SymMatrix &H, IotrVector &x, IotrVector &Lm)
	Computes the Hessian evaluated at x and Lm.

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Detailed Description

An implementation of CuterFunctional that uses dense matrices.

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Constructor & Destructor Documentation

CuterDenseFunctional::CuterDenseFunctional (  CuterAdaptor &    a )

Constructor. Creates memory for member arrays with respect to nmax and mmax.

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Member Function Documentation

virtual void CuterDenseFunctional::concreteGrads (  IotrVector &    g, GenMatrix &    J, IotrVector &    x )  [protected, virtual]

Computes the constraint Jacobian and the Lagrangian evaluated at x and Lm. concreteValues() contains the implementation for the evaluation of the Jacobian and Lagrangian and is called by grads(). Parameters: g  the gradient of the objective function J  the Jacobian of the constraints x  point at which the objective and constraint function are to be evaluated. Implements CuterFunctional.

virtual void CuterDenseFunctional::concreteHess (  SymMatrix &    H, IotrVector &    x, IotrVector &    Lm )  [protected, virtual]

Computes the Hessian evaluated at x and Lm. The actual implementation of this evaluation is contained in concreteHess() which is called by hessian(). Parameters: H  denotes the Hessian. Lm  points to the vector whose elements are the Lagrange multipliers. x  points the current point at which the objective and constraint function are to be evaluated. Implements CuterFunctional.

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

• CuterDenseFunctional.hh

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