aimsalgo  5.0.5
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 
41 template< class T >
43 {
44 public:
45 
46  LMFunction() { }
47  LMFunction( const LMFunction< T >& );
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 
56 protected:
57 
58  std::vector< T > par;
59  std::vector< T > der;
60 };
61 
62 
63 template< class T > inline
65  : par( func.par ), der( func.der )
66 {
67 }
68 
69 
70 template< class T > inline
72 {
73  par.clear();
74  der.clear();
75 }
76 
77 #endif
virtual ~LMFunction()
Definition: lmfunc.h:71
virtual T apply(T)
Definition: lmfunc.h:53
std::vector< T > & param()
Definition: lmfunc.h:50
std::vector< T > & derivative()
Definition: lmfunc.h:51
virtual T eval(T)
Definition: lmfunc.h:54
std::vector< T > der
Definition: lmfunc.h:59
std::vector< T > par
Definition: lmfunc.h:54
LMFunction()
Definition: lmfunc.h:46