OOPSE/libmdtools/NonlinearCons.hpp

#ifndef _NONLINEARCONS_H_
#define _NONLINEARCONS_H_

#include "Constraint.hpp"
#include "NLModel.hpp"

/**
 * Linear Constraint for nonlinear optimization problem
 * boundType is used to  identify whether it is linear equation constraint or linear inequality
 * constraint. If it is nonlinear inequality constraint
 */

class NonlinearCons : public ConstraintBase{

  public:
    NonlinearCons(vector<int>& theIndex, NLModel* theModel , double b, BoundType bType);
    NonlinearCons(int dim, vector<int>& theIndex, NLModel* theModel , double b, BoundType bType);

    void setDim(int dim);
    
    virtual double calcResidual(vector<double>& x);
    virtual vector<double> calcConsGrad(vector<double>& x);
    virtual SymMatrix calcConsHessian(vector<double>& x);
    
  protected:
    
    vector<int> index;
    NLModel* model;

};
#endif
Revision:	1011
Committed:	Tue Feb 3 20:47:10 2004 UTC (20 years, 5 months ago) by tim
File size:	873 byte(s)
Log Message:	* empty log message *
#	Content
1	#ifndef _NONLINEARCONS_H_
2	#define _NONLINEARCONS_H_
3
4	#include "Constraint.hpp"
5	#include "NLModel.hpp"
6
7	/**
8	* Linear Constraint for nonlinear optimization problem
9	* boundType is used to identify whether it is linear equation constraint or linear inequality
10	* constraint. If it is nonlinear inequality constraint
11	*/
12
13	class NonlinearCons : public ConstraintBase{
14
15	public:
16	NonlinearCons(vector<int>& theIndex, NLModel* theModel , double b, BoundType bType);
17	NonlinearCons(int dim, vector<int>& theIndex, NLModel* theModel , double b, BoundType bType);
18
19	void setDim(int dim);
20
21	virtual double calcResidual(vector<double>& x);
22	virtual vector<double> calcConsGrad(vector<double>& x);
23	virtual SymMatrix calcConsHessian(vector<double>& x);
24
25	protected:
26
27	vector<int> index;
28	NLModel* model;
29
30	};
31	#endif