bibtype J - Journal Article
ARLID 0467536
utime 20240103213204.8
mtime 20161219235959.9
SCOPUS 85007227339
WOS 000391853600008
DOI 10.1137/15M1052299
title (primary) (eng) On Lipschitzian properties of implicit multifunctions
specification
page_count 30 s.
media_type P
serial
ARLID cav_un_epca*0255073
ISSN 1052-6234
title SIAM Journal on Optimization
volume_id 26
volume 4 (2016)
page_num 2160-2189
publisher
name SIAM Society for Industrial and Applied Mathematics
keyword solution map
keyword calmness
keyword Aubin property
keyword directional limiting coderivative
author (primary)
ARLID cav_un_auth*0319636
name1 Gfrerer
name2 H.
country AT
author
ARLID cav_un_auth*0101173
name1 Outrata
name2 Jiří
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
institution UTIA-B
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/2016/MTR/outrata-0467536.pdf
cas_special
project
ARLID cav_un_auth*0339745
project_id P26132-N25
agency Austrian Science Fund
country AT
project
ARLID cav_un_auth*0321507
project_id GA15-00735S
agency GA ČR
project
ARLID cav_un_auth*0339747
project_id DP160100854
agency Australian Research Council
country AU
abstract (eng) This paper is devoted to the development of new sufficient conditions for the calmness\nand the Aubin property of implicit multifunctions. As the basic tool we employ the directional\nlimiting coderivative which, together with the graphical derivative, enables a fine analysis of the\nlocal behavior of the investigated multifunction along relevant directions. For verification of the\ncalmness property, in addition, a new condition has been discovered which parallels the missing\nimplicit function paradigm and permits us to replace the original multifunction by a substantially\nsimpler one. Moreover, as an auxiliary tool, a handy formula for the computation of the directional\nlimiting coderivative of the normal-cone map with a polyhedral set has been derived which perfectly\nmatches the framework of [A. L. Dontchev and R. T. Rockafellar, SIAM J. Optim., 6 (1996),\npp. 1087-1105]. All important statements are illustrated by examples.
RIV BA
reportyear 2017
num_of_auth 2
mrcbC52 4 A hod 4ah 20231122142122.7
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0265783
cooperation
ARLID cav_un_auth*0339748
name Johannes Kepler University Linz
country AT
mrcbC64 1 Department of Decision Making Theory UTIA-B 10102 MATHEMATICS, APPLIED
confidential S
mrcbC86 1* Article Mathematics Applied
mrcbT16-e MATHEMATICSAPPLIED
mrcbT16-j 2.759
mrcbT16-s 2.652
mrcbT16-4 Q1
mrcbT16-B 98.129
mrcbT16-D Q1*
mrcbT16-E Q1*
arlyear 2016
mrcbTft \nSoubory v repozitáři: outrata-0467536.pdf
mrcbU14 85007227339 SCOPUS
mrcbU24 PUBMED
mrcbU34 000391853600008 WOS
mrcbU63 cav_un_epca*0255073 SIAM Journal on Optimization 1052-6234 1095-7189 Roč. 26 č. 4 2016 2160 2189 SIAM Society for Industrial and Applied Mathematics