aimsalgo  5.0.5
Neuroimaging image processing
CovarianceStorage< T > Class Template Reference

#include <aims/optimization/covsrt.h>

Public Member Functions

 CovarianceStorage ()
 
virtual ~CovarianceStorage ()
 
AimsData< T > doit (AimsData< T > &, AimsData< int > *ia=NULL, int mfit=0)
 

Detailed Description

template<class T>
class CovarianceStorage< T >

Definition at line 45 of file covsrt.h.

Constructor & Destructor Documentation

◆ CovarianceStorage()

template<class T>
CovarianceStorage< T >::CovarianceStorage ( )
inline

Definition at line 49 of file covsrt.h.

◆ ~CovarianceStorage()

template<class T>
virtual CovarianceStorage< T >::~CovarianceStorage ( )
inlinevirtual

Definition at line 50 of file covsrt.h.

References CovarianceStorage< T >::doit().

Member Function Documentation

◆ doit()

template<class T>
AimsData< T > CovarianceStorage< T >::doit ( AimsData< T > &  ,
AimsData< int > *  ia = NULL,
int  mfit = 0 
)

The documentation for this class was generated from the following file: