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rdOptimizationTarget Class Reference

This class provides an interface specification for optimizing redundant systems. More...

#include <rdOptimizationTarget.h>

Inheritance diagram for rdOptimizationTarget:

List of all members.

Public Member Functions
virtual	~rdOptimizationTarget ()
	Destructor.
	rdOptimizationTarget (int aNX=0)
	Construct an optimization target.
virtual int	compute (double *x, double *p, double *c)=0
virtual int	computeGradients (double *dx, double *x, double *dpdx, double *dcdx)=0
virtual int	computePerformance (double *x, double *p)=0
virtual int	computePerformanceGradient (double *x, double *dpdx)=0
virtual int	computeConstraint (double *x, int i, double *c)=0
virtual int	computeConstraintGradient (double *x, int i, double *dcdx)=0
virtual void	setNX (int aNX)
	Set the number of controls.
int	getNX ()
	Get the number of controls.
void	setDX (double aVal)
	Set the derivative perturbation size for all controls.
void	setDX (int aIndex, double aVal)
	Set the derivative perturbation size.
double	getDX (int aIndex)
	Get the derivative perturbation size.
double *	getDXArray ()
	Get a pointer to the vector of derivative perturbation sizes.
void	setNEvaluations (int aN=0)
	Get the number of evaluations.
int	getNEvaluations ()
	Get the number of evaluations.
int	getNP ()
	Get the number of performance criteria.
int	getNC ()
	Get the total number of constraints.
int	getNCInequality ()
	Get the total number of inequality constraints.
int	getNCInequalityNonlinear ()
	Get the number of nonlinear inequality constraints.
int	getNCInequalityLinear ()
	Get the number of linear inequality constraints.
int	getNCEquality ()
	Get the total number of equality constraints.
int	getNCEqualityNonlinear ()
	Get the number of nonlinear equality constraints.
int	getNCEqualityLinear ()
	Get the number of linear equality constraints.
bool	isControlIndexValid (int aIndex)
	Is a control index valid?
void	validatePerturbationSize (double &aSize)
	Ensure that a derivative perturbation is a valid size.
Static Public Attributes
const double	SMALLDX = 1.0e-14
	Smallest allowable perturbation size for computing derivatives.
Protected Attributes
int	_nEval
	Number of performance evaluations.
int	_nx
	Number of controls.
int	_np
	Number of performance criteria.
int	_nineqn
	Number of nonlinear inequality constraints.
int	_nineq
	Number of inequality constraints.
int	_neqn
	Number of nonlinear equality constraints.
int	_neq
	Number of equality constraints.
double *	_dx
	Perturbation size for computing numerical derivatives.
Private Member Functions
void	setNull ()
	Set NULL values for the member variables.

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Detailed Description

This class provides an interface specification for optimizing redundant systems.

If a class represents a redundant system for which one would like to find a set of optimal controls, the class should inherit from this class and implement the virtual functions defined here.

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Constructor & Destructor Documentation

rdOptimizationTarget::rdOptimizationTarget (  int  aNX = 0  )

Construct an optimization target. Parameters: aNX  The number of controls.

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Member Function Documentation

int rdOptimizationTarget::getNX (   )

Get the number of controls. Returns: Number of controls.

void rdOptimizationTarget::setNX (  int  aNX  )  [virtual]

Set the number of controls. The number of controls can be set at any time. However, the perturbation sizes for the controls (i.e., _dx) is destroyed. Therefore, the perturbation sizes must be reset. Parameters: aNX  Number of controls. See also: setDX()

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

• rdOptimizationTarget.h
• rdOptimizationTarget.cpp

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