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root/group/trunk/OOPSE/libmdtools/Constraint.hpp
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Comparing trunk/OOPSE/libmdtools/Constraint.hpp (file contents):
Revision 995 by tim, Wed Jan 28 20:40:26 2004 UTC vs.
Revision 1010 by tim, Tue Feb 3 20:43:08 2004 UTC

# Line 1 | Line 1
1   #ifndef _CONSTRAINT_H_
2   #define _CONSTRAINT_H_
3  
4 + #include <iostream>
5   #include <vector>
6  
7 < #include "NLModel.hpp"
7 > #include "SymMatrix.hpp"
8  
9   #define ERROR_CONSTRAINT 10
10  
11   using namespace std;
12  
13 < typedef enum ConsType {simpleBound = 1, linearEqu = 2, linearInequ = 4,
14 <                                     nonlinearEqu = 8, nonlinearInequ =16};
13 > typedef enum  {simpleBound = 1, linearEqu = 2, linearInequ = 4,
14 >                                     nonlinearEqu = 8, nonlinearInequ =16} ConsType;
15  
16 < typedef enum BoundType{upper, lower, equ};
16 > typedef enum {btUpper, btLower, btEqu} BoundType;
17  
18   /**
19   * Abstract class of constraint for nonlinear optimization problem
# Line 25 | Line 26 | class ConstraintBase{
26      virtual void setDim(int dim);
27      bool isDimSet();
28      
29 <    int getConsType() { return consType};
29 >    int getConsType() { return consType;}
30      virtual double calcResidual(vector<double>& x) = 0;
31      virtual vector<double> calcConsGrad(vector<double>& x) = 0;
32      virtual SymMatrix calcConsHessian(vector<double>& x) = 0;
# Line 41 | Line 42 | class ConstraintBase{
42    
43   };
44  
44 – /**
45 – * Simple Bound Constraint for nonlinear optimization problem
46 – * boundType is used to  identify whether it is upper bound or lower bound
47 – */
48 – class SimpleBoundCons : public ConstraintBase{
49 –  public:
50 –    
51 –    SimpleBoundCons(int theIndex, double b, bool flag);
52 –    SimpleBoundCons(int dim, int theIndex, double b, bool flag);
53 –    
54 –     virtual double calcResidual(vector<double>& x);
55 –    virtual vector<double> calcConsGrad(vector<double>& x);
56 –    virtual SymMatrix calcConsHessian(vector<double>& x);
57 –
58 –  protected:
59 –  
60 –    int index;    
61 – };
62 –
63 – /**
64 – * Linear Constraint for nonlinear optimization problem
65 – * boundType is used to  identify whether it is linear equation constraint or linear inequality
66 – * constraint. If it is inear inequality constraint
67 – */
68 –
69 – class LinearCons : public ConstraintBase{
70 –
71 –  public:
72 –
73 –    LinearCons(vector<int>& theIndex, vector<double>& , double b, BoundType bType);
74 –    LinearCons(int dim, vector<int>& theIndex, vector<double>& , double b, BoundType bType);
75 –    virtual double calcResidual(vector<double>& x);
76 –    virtual vector<double> calcConsGrad(vector<double>& x);
77 –    virtual SymMatrix calcConsHessian(vector<double>& x);
78 –
79 –  protected:
80 –    
81 –    vector<int> index;
82 –    vector<double> coeff;
83 – };
84 –
85 – /**
86 – * Linear Constraint for nonlinear optimization problem
87 – * boundType is used to  identify whether it is linear equality constraint or linear inequality
88 – * constraint
89 – */
90 –
91 –
92 – class NonlinearCons : public ConstraintBase{
93 –
94 –  public:
95 –    NonLinearCons(vector<int>& theIndex, NLModel* theModel , double b, BoundType bType);
96 –    NonLinearCons(int dim, vector<int>& theIndex, NLModel* theModel , double b, BoundType bType);
97 –
98 –    void setDim(int dim);
99 –    
100 –    virtual double calcResidual(vector<double>& x);
101 –    virtual vector<double> calcConsGrad(vector<double>& x);
102 –    virtual SymMatrix calcConsHessian(vector<double>& x);
103 –    
104 –  protected:
105 –    
106 –    vector<int> index;
107 –    NLModel* model;
108 –
109 – };
110 –
111 – class ConstraintList{
112 –  public:
113 –    ConstraintList();
114 –    ~ConstraintList();
115 –
116 –    addConstraint(ConstraintBase* cons);
117 –    int getNumOfCons() {return constraints.size();}
118 –    int getConsType() {return consType;}
119 –    vector<ConstraintBase*> getConstraints() {return constraints;}  
120 –
121 –  protected:
122 –
123 –    vector<ConstraintBase*> constraints;
124 –    int consType;
125 – };
126 –
45   #endif

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