aimsalgo 6.0.0
Neuroimaging image processing
optimizer.h
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33
34
35#ifndef AIMS_OPTIMIZATION_OPTIMIZER_H
36#define AIMS_OPTIMIZATION_OPTIMIZER_H
37
38#include <aims/math/mathelem.h>
39#include <aims/vector/vector.h>
41#include <cartobase/object/attributed.h>
42
43//
44// class Optimizer
45//
46
47template <class T, int D>
49public :
51 virtual ~OptimizerProbe() {}
52
53 virtual OptimizerProbe * clone() { return new OptimizerProbe ; }
54 virtual void iteration( const AimsVector<T,D> &,
56 const float * = 0) {}
57 virtual void test( const AimsVector<T,D> &,
59 const float * = 0) {}
60 virtual void end() {}
61} ;
62
63
64template <class T, int D>
66{
67public:
68 Optimizer( const ObjectiveFunc< T,D >& func, T error,
69 OptimizerProbe<T, D> * probe = 0 ) :
70 _func( func ), _error( error )
71 {
72 if ( probe != 0 )
73 _probe = probe->clone() ;
74 else
76 }
77
78 virtual ~Optimizer() { }
79
81 const AimsVector<T,D> & )
82 { return AimsVector<T,D>( (T)0 ); }
83
85 { _probe = probe->clone() ; }
86
87protected:
90
92};
93
94#endif
virtual OptimizerProbe * clone()
Definition optimizer.h:53
virtual void test(const AimsVector< T, D > &, const carto::AttributedObject &, const float *=0)
Definition optimizer.h:57
virtual ~OptimizerProbe()
Definition optimizer.h:51
virtual void iteration(const AimsVector< T, D > &, const carto::AttributedObject &, const float *=0)
Definition optimizer.h:54
virtual void end()
Definition optimizer.h:60
virtual AimsVector< T, D > doit(const AimsVector< T, D > &, const AimsVector< T, D > &)
Definition optimizer.h:80
virtual ~Optimizer()
Definition optimizer.h:78
OptimizerProbe< T, D > * _probe
Definition optimizer.h:91
void setProbe(OptimizerProbe< T, D > *probe)
Definition optimizer.h:84
const ObjectiveFunc< T, D > & _func
Definition optimizer.h:88
Optimizer(const ObjectiveFunc< T, D > &func, T error, OptimizerProbe< T, D > *probe=0)
Definition optimizer.h:68
SyntaxedObject< PropertySet > AttributedObject