bibtype C - Conference Paper (international conference)
ARLID 0030385
utime 20240103181657.5
mtime 20060201235959.9
title (primary) (eng) Numerical techniques in relaxed optimization problems
specification
page_count 17 s.
serial
ARLID cav_un_epca*0076424
ISBN 0-387-28263-7
title Robust Optimization-Directed Design
page_num 145-161
publisher
place New York
name Springer
year 2005
editor
name1 Kurdila
name2 A. J.
editor
name1 Pardalos
name2 P. M.
editor
name1 Zabrankin
name2 M.
title (cze) Numericke techniky pro uvolnene optimalizacni ulohy
keyword Young measures
keyword numerical approximation
keyword variational problems
author (primary)
ARLID cav_un_auth*0101187
name1 Roubíček
name2 Tomáš
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 120
cas_special
research CEZ:AV0Z10750506
abstract (eng) Young measures and their various generalizations are a basic analytical tool for extension (=relaxation) of optimization problems that may lack of solutions because of various oscillation/concentration effects. Various numerical techniques designed directly for the relaxed problems are surveyed together with some specific applications.
abstract (cze) V praci se shrnuji numericke techniky pro uvolnene optimalizacni ulohy.
action
ARLID cav_un_auth*0205722
name Nonconvex Optimization-Directed Design
place Fort Walton Beach
dates 19.04.2004-21.04.2004
country US
reportyear 2007
RIV BA
permalink http://hdl.handle.net/11104/0120128
arlyear 2005
mrcbU63 cav_un_epca*0076424 Robust Optimization-Directed Design 0-387-28263-7 145 161 New York Springer 2005
mrcbU67 Kurdila A. J. 340
mrcbU67 Pardalos P. M. 340
mrcbU67 Zabrankin M. 340