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
url http://library.utia.cas.cz/separaty/2021/MTR/outrata-0541231.pdf
source
url https://epubs.siam.org/doi/10.1137/19M1257408
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