5 |
|
#include <vector> |
6 |
|
|
7 |
|
#include "MinimizerParameterSet.hpp" |
8 |
+ |
#include "NLModel.hpp" |
9 |
|
|
10 |
|
#define MINSTATUS_ERROR -1 |
11 |
|
#define MINSTATUS_CONVERGE 0 |
17 |
|
public: |
18 |
|
|
19 |
|
//initialize the minimizer method |
20 |
< |
virtual void Init() = 0; |
20 |
> |
virtual void init() = 0; |
21 |
|
|
22 |
|
//minimize the model |
23 |
|
virtual void minimize() = 0; |
24 |
< |
|
24 |
> |
|
25 |
|
// |
26 |
|
virtual int checkConvergence() = 0; |
27 |
|
|
29 |
|
virtual bool isSolvable() = 0; |
30 |
|
|
31 |
|
// get the final status of minimization |
32 |
< |
int getMinimizationStatus() {return minimizationStatus;} |
32 |
> |
int getMinimizationStatus() {return minStatus;} |
33 |
|
|
34 |
|
// get the name of minimization method |
35 |
|
const string getName() {return minimizerName;} |
44 |
|
|
45 |
|
}; |
46 |
|
|
46 |
– |
class Minimizer : public MinimizerBase{ |
47 |
– |
|
48 |
– |
public: |
49 |
– |
|
50 |
– |
virtual void printMinizerInfo() = 0; |
51 |
– |
|
52 |
– |
virtual MinimizerParameterSet* creatParameterSet() = 0; |
53 |
– |
void setMinX(vector<double>& x) { minX = x;} |
54 |
– |
vector<double> getMinX() { return minX;} |
55 |
– |
|
56 |
– |
void setPrevMinX(vector<double>& x) { prevMinX = x;} |
57 |
– |
vector<double> getPrevMinX() {return prevMinX;} |
58 |
– |
|
59 |
– |
int getCurrentIteration() {return currentIter;} |
60 |
– |
|
61 |
– |
protected: |
62 |
– |
|
63 |
– |
MinimizerParameterSet* paramSet; |
64 |
– |
int currentIter; |
65 |
– |
|
66 |
– |
// Coordinates yielding the minimum value of the function. |
67 |
– |
vector<double> minX; |
68 |
– |
|
69 |
– |
// Vector holding the previous point. |
70 |
– |
vector<double> prevMinX; |
71 |
– |
}; |
47 |
|
#endif |