Direct methods for matrix Sylvester and Lyapunov equations
We revisit the two standard dense methods for matrix Sylvester and Lyapunov equations: the Bartels-Stewart method for A1X+XA2+D=0 and Hammarling's method for AX+XAT+BBT=0 with A stable. We construct three schemes for solving the unitarily reduced quasitriangular systems. We also construct a ne...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2003-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/S1110757X03212055 |
id |
doaj-06dcb44a856e490c9abfc75047c122be |
---|---|
record_format |
Article |
spelling |
doaj-06dcb44a856e490c9abfc75047c122be2020-11-24T22:01:09ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422003-01-012003627730310.1155/S1110757X03212055Direct methods for matrix Sylvester and Lyapunov equationsDanny C. Sorensen0Yunkai Zhou1Department of Computational and Applied Mathematics, Rice University, Houston, TX 77005-1892, USADepartment of Computational and Applied Mathematics, Rice University, Houston, TX 77005-1892, USAWe revisit the two standard dense methods for matrix Sylvester and Lyapunov equations: the Bartels-Stewart method for A1X+XA2+D=0 and Hammarling's method for AX+XAT+BBT=0 with A stable. We construct three schemes for solving the unitarily reduced quasitriangular systems. We also construct a new rank-1 updating scheme in Hammarling's method. This new scheme is able to accommodate a B with more columns than rows as well as the usual case of a B with more rows than columns, while Hammarling's original scheme needs to separate these two cases. We compared all of our schemes with the Matlab Sylvester and Lyapunov solver lyap.m; the results show that our schemes are much more efficient. We also compare our schemes with the Lyapunov solver sllyap in the currently possibly the most efficient control library package SLICOT; numerical results show our scheme to be competitive.http://dx.doi.org/10.1155/S1110757X03212055 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Danny C. Sorensen Yunkai Zhou |
spellingShingle |
Danny C. Sorensen Yunkai Zhou Direct methods for matrix Sylvester and Lyapunov equations Journal of Applied Mathematics |
author_facet |
Danny C. Sorensen Yunkai Zhou |
author_sort |
Danny C. Sorensen |
title |
Direct methods for matrix Sylvester and Lyapunov equations |
title_short |
Direct methods for matrix Sylvester and Lyapunov equations |
title_full |
Direct methods for matrix Sylvester and Lyapunov equations |
title_fullStr |
Direct methods for matrix Sylvester and Lyapunov equations |
title_full_unstemmed |
Direct methods for matrix Sylvester and Lyapunov equations |
title_sort |
direct methods for matrix sylvester and lyapunov equations |
publisher |
Hindawi Limited |
series |
Journal of Applied Mathematics |
issn |
1110-757X 1687-0042 |
publishDate |
2003-01-01 |
description |
We revisit the two standard dense methods for matrix
Sylvester and Lyapunov equations: the Bartels-Stewart method for
A1X+XA2+D=0 and Hammarling's method for
AX+XAT+BBT=0 with A stable. We construct three schemes for solving the unitarily reduced
quasitriangular systems. We also construct a new rank-1 updating
scheme in Hammarling's method. This new scheme is able to
accommodate a B with more columns than rows as well as the
usual case of a B with more rows than columns, while
Hammarling's original scheme needs to separate these two cases.
We compared all of our schemes with the Matlab Sylvester and
Lyapunov solver lyap.m; the results show that our
schemes are much more efficient. We also compare our schemes with
the Lyapunov solver sllyap in the currently possibly the
most efficient control library package SLICOT; numerical results
show our scheme to be competitive. |
url |
http://dx.doi.org/10.1155/S1110757X03212055 |
work_keys_str_mv |
AT dannycsorensen directmethodsformatrixsylvesterandlyapunovequations AT yunkaizhou directmethodsformatrixsylvesterandlyapunovequations |
_version_ |
1725841424137584640 |