aimsalgo 6.0.0
Neuroimaging image processing
lmfunc.h
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33
34
35#ifndef AIMS_OPTIMIZATION_LMFUNC_H
36#define AIMS_OPTIMIZATION_LMFUNC_H
37
38#include <vector>
39
40
41template< class T >
43{
44public:
45
48 virtual ~LMFunction();
49
50 std::vector< T >& param() { return par; }
51 std::vector< T >& derivative() { return der; }
52
53 virtual T apply( T ) { return (T)0; };
54 virtual T eval( T ) { return (T)0; };
55
56protected:
57
58 std::vector< T > par;
59 std::vector< T > der;
60};
61
62
63template< class T > inline
65 : par( func.par ), der( func.der )
66{
67}
68
69
70template< class T > inline
72{
73 par.clear();
74 der.clear();
75}
76
77#endif
virtual T apply(T)
Definition lmfunc.h:53
LMFunction()
Definition lmfunc.h:46
std::vector< T > & param()
Definition lmfunc.h:50
std::vector< T > der
Definition lmfunc.h:59
virtual ~LMFunction()
Definition lmfunc.h:71
std::vector< T > & derivative()
Definition lmfunc.h:51
virtual T eval(T)
Definition lmfunc.h:54
std::vector< T > par
Definition lmfunc.h:58