RWHermQREigServer< TypeT > Class Template Reference

The default server for the QR method of computing eigenvalues. More...

#include <rw/lapack/heigsrv.h>

Inheritance diagram for RWHermQREigServer< TypeT >:

Public Member Functions
	RWHermQREigServer ()
	RWHermQREigServer (bool computeVecs)
virtual bool	computeEigenVectors () const
void	computeEigenVectors (bool computeVecs)
virtual RWSymEigDecomp< double >	decompose (const RWTriDiagDecomp< TypeT > &A)
Public Member Functions inherited from RWHermEigServer< TypeT >
virtual RWHermEigDecomp< TypeT >	operator() (const RWHermBandMat< TypeT > &A)
virtual RWHermEigDecomp< TypeT >	operator() (const RWHermMat< TypeT > &A)

Detailed Description

template<class TypeT>
class RWHermQREigServer< TypeT >

The class RWHermQREigServer is the server for the QR method of computing eigenvalues. This is the default server.

Synopsis

#include <rw/lapack/heigsrv.h>
RWHermQREigServer<DComplex> server;
// A is a RWHermBandMat<DComplex>
RWHermEigDecomp<DComplex> eig = server(A);

Example

#include <rw/lapack/heigsrv.h>
#include <iostream>
 
int main() {
  RWHermMat<DComplex> A;  // input a matrix
  std::cin >> A;
 
  RWHermQREigServer<DComplex> server;  // configure a server
  server.computeEigenVectors(false);   // turn off eigenvectors
  RWHermEigDecomp<DComplex> eig = server(A);
 
  return 0;
}

Constructor & Destructor Documentation

RWHermQREigServer() [1/2]

template<class TypeT >

RWHermQREigServer< TypeT >::RWHermQREigServer ( )

inline

Constructs a server configured to compute eigenvectors and eigenvalues.

RWHermQREigServer() [2/2]

template<class TypeT >

RWHermQREigServer< TypeT >::RWHermQREigServer ( bool computeVecs )

explicit

Constructs a server. The parameter indicates whether this server should be configured to compute eigenvectors as well as eigenvalues.

Member Function Documentation

computeEigenVectors() [1/2]

template<class TypeT >

virtual bool RWHermQREigServer< TypeT >::computeEigenVectors ( ) const

virtual

Returns true if this server is configured to compute eigenvectors as well as eigenvalues.

Implements RWHermEigServer< TypeT >.

computeEigenVectors() [2/2]

template<class TypeT >

void RWHermQREigServer< TypeT >::computeEigenVectors

(

bool

computeVecs

)

Sets whether or not the server should compute eigenvectors as well as eigenvalues.

decompose()

template<class TypeT >

virtual RWSymEigDecomp< double > RWHermQREigServer< TypeT >::decompose ( const RWTriDiagDecomp< TypeT > & A )

virtual

Computes the eigenvalue decomposition of the tridiagonal matrix inside the tridiagonal decomposition.

Implements RWHermEigServer< TypeT >.