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

#include <aims/math/elmhes.h>

Public Member Functions

AimsData< T > doit (AimsData< T > &, AimsData< short > *isc=NULL)
 Hessenberg reduction computation. More...
 
 HessenbergReduction ()
 Constructor and destructor. More...
 
virtual ~HessenbergReduction ()
 destructor More...
 

Detailed Description

template<class T>
class HessenbergReduction< T >

Definition at line 45 of file elmhes.h.

Constructor & Destructor Documentation

◆ HessenbergReduction()

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

Constructor and destructor.

constructor

Definition at line 52 of file elmhes.h.

◆ ~HessenbergReduction()

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

destructor

Definition at line 54 of file elmhes.h.

References HessenbergReduction< T >::doit().

Member Function Documentation

◆ doit()

template<class T >
AimsData< T > HessenbergReduction< T >::doit ( AimsData< T > &  ,
AimsData< short > *  isc = NULL 
)

Hessenberg reduction computation.

\ This function is adapted from the Numerical Recipes in C. \ This function returns the Hessenberg matrix form of the matrix given on input. \

Parameters
isckeeps track of interchanges and is a vector used to backtrack eigenvectors.

Referenced by HessenbergReduction< T >::~HessenbergReduction().


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