bibtype |
J -
Journal Article
|
ARLID |
0541231 |
utime |
20240103225625.4 |
mtime |
20210319235959.9 |
WOS |
000636678300020 |
SCOPUS |
85102060544 |
DOI |
10.1137/19M1257408 |
title
(primary) (eng) |
On a Semismooth* Newton Method for Solving Generalized Equations |
specification |
page_count |
29 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0255073 |
ISSN |
1052-6234 |
title
|
SIAM Journal on Optimization |
volume_id |
31 |
volume |
1 (2021) |
page_num |
489-517 |
publisher |
name |
SIAM Society for Industrial and Applied Mathematics |
|
|
keyword |
Newton method |
keyword |
semismoothness* |
keyword |
superlinear convergence |
keyword |
generalized equation |
keyword |
coderivatives |
author
(primary) |
ARLID |
cav_un_auth*0319636 |
name1 |
Gfrerer |
name2 |
H. |
country |
AT |
|
author
|
ARLID |
cav_un_auth*0101173 |
name1 |
Outrata |
name2 |
Jiří |
institution |
UTIA-B |
full_dept (cz) |
Matematická teorie rozhodování |
full_dept |
Department of Decision Making Theory |
department (cz) |
MTR |
department |
MTR |
full_dept |
Department of Decision Making Theory |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
source |
|
cas_special |
project |
project_id |
GA17-04301S |
agency |
GA ČR |
ARLID |
cav_un_auth*0347023 |
|
abstract
(eng) |
In the paper, a Newton-type method for the solution of generalized equations (GEs) is derived, where the linearization concerns both the single-valued and the multivalued part of the considered GE. The method is based on the new notion of semismoothness*, which, together with a suitable regularity condition, ensures the local superlinear convergence. An implementable version of the new method is derived for a class of GEs, frequently arising in optimization and equilibrium models.\n |
result_subspec |
WOS |
RIV |
BA |
FORD0 |
10000 |
FORD1 |
10100 |
FORD2 |
10101 |
reportyear |
2022 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0318817 |
confidential |
S |
mrcbC86 |
1* Article Mathematics Applied |
mrcbC91 |
C |
mrcbT16-e |
MATHEMATICSAPPLIED |
mrcbT16-j |
2.555 |
mrcbT16-s |
3.020 |
mrcbT16-D |
Q1* |
mrcbT16-E |
Q1* |
arlyear |
2021 |
mrcbU14 |
85102060544 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000636678300020 WOS |
mrcbU63 |
cav_un_epca*0255073 SIAM Journal on Optimization 1052-6234 1095-7189 Roč. 31 č. 1 2021 489 517 SIAM Society for Industrial and Applied Mathematics |
|