We discuss a novel approach for the computation of a number of eigenvalues
and eigenvectors of the standard eigenproblem Ax = ^Ux. Our method is based
on a combination of the Jacobi-Davidson method and the QR-method. For that
reason we refer to the method as JDQR. The effectiveness of the method is
illustrated by a numerical example.
%0 Journal Article
%1 citeulike:13503621
%A van der Vorst, Henk
%D 1996
%J CWI Quarterly
%K 65f15-numerical-eigenvalues-eigenvectors
%N 1--2
%P 151--160
%T Subspace Iteration for Eigenproblems
%V 9
%X We discuss a novel approach for the computation of a number of eigenvalues
and eigenvectors of the standard eigenproblem Ax = ^Ux. Our method is based
on a combination of the Jacobi-Davidson method and the QR-method. For that
reason we refer to the method as JDQR. The effectiveness of the method is
illustrated by a numerical example.
@article{citeulike:13503621,
abstract = {{We discuss a novel approach for the computation of a number of eigenvalues
and eigenvectors of the standard eigenproblem Ax = ^Ux. Our method is based
on a combination of the Jacobi-Davidson method and the QR-method. For that
reason we refer to the method as JDQR. The effectiveness of the method is
illustrated by a numerical example.}},
added-at = {2017-06-29T07:13:07.000+0200},
author = {van der Vorst, Henk},
biburl = {https://www.bibsonomy.org/bibtex/2f9e30ba61d318e5a0071c1faa31f4956/gdmcbain},
citeulike-article-id = {13503621},
citeulike-attachment-1 = {vorst_96_subspace.pdf; /pdf/user/gdmcbain/article/13503621/1002911/vorst_96_subspace.pdf; 760aeb5c9f15ece2b908490191e5f0ded8dbaaf7},
file = {vorst_96_subspace.pdf},
interhash = {8c4e8ab034c43a0bfdb755868a566b6e},
intrahash = {f9e30ba61d318e5a0071c1faa31f4956},
journal = {CWI Quarterly},
keywords = {65f15-numerical-eigenvalues-eigenvectors},
number = {1--2},
pages = {151--160},
posted-at = {2015-01-29 06:17:39},
priority = {2},
timestamp = {2017-06-29T07:13:07.000+0200},
title = {{Subspace Iteration for Eigenproblems}},
volume = 9,
year = 1996
}