bibtype J - Journal Article
ARLID 0474227
utime 20240103214018.4
mtime 20170427235959.9
SCOPUS 85017593151
WOS 000426071000010
DOI 10.1007/s10107-017-1146-3
title (primary) (eng) On M-stationarity conditions in MPECs and the associated qualification conditions
specification
page_count 31 s.
media_type P
serial
ARLID cav_un_epca*0257227
ISSN 0025-5610
title Mathematical Programming
volume_id 168
page_num 229-259
publisher
name Springer
keyword Mathematical programs with equilibrium constraints
keyword Optimality conditions
keyword Constraint qualification
keyword Calmness
keyword Perturbation mapping
author (primary)
ARLID cav_un_auth*0309054
name1 Adam
name2 Lukáš
full_dept (cz) Matematická teorie rozhodování
full_dept (eng) Department of Decision Making Theory
department (cz) MTR
department (eng) MTR
institution UTIA-B
full_dept Department of Decision Making Theory
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0015558
name1 Henrion
name2 R.
country DE
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/2017/MTR/adam-0474227.pdf
cas_special
project
ARLID cav_un_auth*0321507
project_id GA15-00735S
agency GA ČR
abstract (eng) Depending on whether a mathematical program with equilibrium constraints (MPEC) is considered in its original or its enhanced (via KKT conditions) form, the assumed qualification conditions as well as the derived necessary optimality conditions may differ significantly. In this paper, we study this issue when imposing one of the weakest possible qualification conditions, namely the calmness of the perturbation mapping associated with the respective generalized equations in both forms of the MPEC. It is well known that the calmness property allows one to derive the so-called M-stationarity conditions. The restrictiveness of assumptions and the strength of conclusions in the two forms of theMPECis also strongly related to the qualification conditions on the “lower level”. For instance, even under the linear independence constraint qualification (LICQ) for a lower level feasible set described by C^1 functions, the calmness properties of the original and the enhanced perturbation mapping are drastically different. When passing to C^{1,1} data, this difference still remains true under the weaker Mangasarian–Fromovitz constraint qualification, whereas under LICQ both the calmness assumption and the derived optimality conditions are fully equivalent for the original and the enhanced form of the MPEC. After clarifying these relations, we provide a compilation of practically relevant consequences of our analysis in the derivation of necessary optimality conditions. The obtained results are finally applied to MPECs with structured equilibria.
result_subspec WOS
RIV BA
FORD0 10000
FORD1 10100
FORD2 10101
reportyear 2019
num_of_auth 3
mrcbC52 4 A hod 4ah 20231122142418.0
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0271365
cooperation
ARLID cav_un_auth*0305285
name Weierstraß-Institut für Angewandte Analysis und Stochastik
country DE
mrcbC64 1 Department of Decision Making Theory UTIA-B 10102 MATHEMATICS, APPLIED
confidential S
mrcbC86 2 Article Computer Science Software Engineering|Operations Research Management Science|Mathematics Applied
mrcbT16-e COMPUTERSCIENCESOFTWAREENGINEERING|MATHEMATICSAPPLIED|OPERATIONSRESEARCHMANAGEMENTSCIENCE
mrcbT16-j 2.961
mrcbT16-s 2.853
mrcbT16-B 98.58
mrcbT16-D Q1*
mrcbT16-E Q1*
arlyear 2018
mrcbTft \nSoubory v repozitáři: adam-0474227.pdf
mrcbU14 85017593151 SCOPUS
mrcbU24 PUBMED
mrcbU34 000426071000010 WOS
mrcbU63 cav_un_epca*0257227 Mathematical Programming 0025-5610 1436-4646 Roč. 168 1-2 2018 229 259 Springer