SourcePro® 2023.1 |
SourcePro® API Reference Guide |
The server for the positive definite QR method of computing eigenvalues. More...
#include <rw/lapack/heigsrv.h>
Public Member Functions | |
RWHermPDQREigServer (bool computeVecs=true) | |
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 RWHermMat< TypeT > &A) |
virtual RWHermEigDecomp< TypeT > | operator() (const RWHermBandMat< TypeT > &A) |
The class RWHermPDQREigServer is the server for the positive definite QR method of computing eigenvalues. This server applies only to matrices that you know are positive definite. Trying to use it on nonpositive definite matrices results in a decomposition with the incomplete flag set; you can test for this in the class RWHermEigDecomp. Use of this server with positive definite matrices can result in much more accurate eigenvalues and eigenvectors.
RWHermPDQREigServer< TypeT >::RWHermPDQREigServer | ( | bool | computeVecs = true | ) |
Constructs a server. The parameter indicates whether this server should be configured to compute eigenvectors as well as eigenvalues.
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virtual |
Returns true
if this server is configured to compute eigenvectors as well as eigenvalues.
Implements RWHermEigServer< TypeT >.
void RWHermPDQREigServer< TypeT >::computeEigenVectors | ( | bool | computeVecs | ) |
Sets whether or not the server should compute eigenvectors as well as eigenvalues.
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virtual |
Computes the eigenvalue decomposition of the tridiagonal matrix inside the tridiagonal decomposition.
Implements RWHermEigServer< TypeT >.
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