aimsalgo  5.0.5
Neuroimaging image processing
svd.h
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33 
34 
35 #ifndef AIMS_MATH_SVD_H
36 #define AIMS_MATH_SVD_H
37 
38 #include <aims/def/general.h>
39 
40 template <class T> class AimsData;
41 
54 template< class T >
55 class AimsSVD
56 {
57 public:
58 
60  {
63  };
64 
67  AimsSVD( SVDReturnType rt=MatrixOfSingularValues ) : retType( rt ) { }
70  virtual ~AimsSVD() { }
72 
73  void setReturnType( SVDReturnType rt ) { retType = rt; }
74 
85 
87  void sort( AimsData< T >&, AimsData< T >&, AimsData< T > *v = NULL );
88 
90  const AimsData< T >& W,
91  const AimsData< T >& V,
92  const AimsData< T >& S );
93 
94 private:
95 
96  SVDReturnType retType;
97 };
98 
99 #endif
void sort(AimsData< T > &, AimsData< T > &, AimsData< T > *v=NULL)
sort the U and V matrices and the W vector in decreasing order
virtual ~AimsSVD()
destructor
Definition: svd.h:70
AimsData< T > doit(AimsData< T > &, AimsData< T > *v=NULL)
Singular Value Decomposition.
void setReturnType(SVDReturnType rt)
Definition: svd.h:73
SVDReturnType
Definition: svd.h:59
AimsSVD(SVDReturnType rt=MatrixOfSingularValues)
Constructor and destructor.
Definition: svd.h:68
AimsData< T > backwardSubstitution(const AimsData< T > &U, const AimsData< T > &W, const AimsData< T > &V, const AimsData< T > &S)
Definition: svd.h:55