bibtype |
J -
Journal Article
|
ARLID |
0460325 |
utime |
20240103212338.6 |
mtime |
20160625235959.9 |
SCOPUS |
84960093450 |
WOS |
000371235600006 |
DOI |
10.1137/140980387 |
title
(primary) (eng) |
Constraint interface preconditioning for topology optimization problems |
specification |
|
serial |
ARLID |
cav_un_epca*0257600 |
ISSN |
1064-8275 |
title
|
SIAM Journal on Scientific Computing |
volume_id |
38 |
volume |
1 (2016) |
publisher |
name |
SIAM Society for Industrial and Applied Mathematics |
|
|
keyword |
topology optimization |
keyword |
domain decomposition |
keyword |
Newton-Krylov |
author
(primary) |
ARLID |
cav_un_auth*0101131 |
full_dept (cz) |
Matematická teorie rozhodování |
full_dept (eng) |
Department of Decision Making Theory |
department (cz) |
MTR |
department (eng) |
MTR |
full_dept |
Department of Decision Making Theory |
share |
34 |
name1 |
Kočvara |
name2 |
Michal |
institution |
UTIA-B |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0313203 |
share |
33 |
name1 |
Loghin |
name2 |
D. |
country |
GB |
|
author
|
ARLID |
cav_un_auth*0289253 |
share |
33 |
name1 |
Turner |
name2 |
J. |
country |
GB |
|
source |
|
cas_special |
project |
ARLID |
cav_un_auth*0241214 |
project_id |
IAA100750802 |
agency |
GA AV ČR |
|
project |
ARLID |
cav_un_auth*0331291 |
project_id |
313781 |
agency |
European Commission - EC |
country |
XE |
|
abstract
(eng) |
The discretization of constrained nonlinear optimization problems arising in the field of topology optimization yields algebraic systems which are challenging to solve in practice, due to pathological ill-conditioning, strong nonlinearity and size. In this work we propose a methodology which brings together existing fast algorithms, namely, interior-point for the optimization problem and a novel substructuring domain decomposition method for the ensuing large-scale linear systems. The main contribution is the choice of interface preconditioner which allows for the acceleration of the domain decomposition method, leading to performance independent of problem size. |
RIV |
BA |
reportyear |
2017 |
num_of_auth |
3 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0261899 |
confidential |
S |
mrcbC86 |
2 Article Mathematics Applied |
mrcbT16-e |
MATHEMATICSAPPLIED |
mrcbT16-j |
1.718 |
mrcbT16-s |
1.992 |
mrcbT16-4 |
Q1 |
mrcbT16-B |
93.737 |
mrcbT16-D |
Q1* |
mrcbT16-E |
Q1* |
arlyear |
2016 |
mrcbU14 |
84960093450 SCOPUS |
mrcbU34 |
000371235600006 WOS |
mrcbU63 |
cav_un_epca*0257600 SIAM Journal on Scientific Computing 1064-8275 1095-7197 Roč. 38 č. 1 2016 A128 A145 SIAM Society for Industrial and Applied Mathematics |
|