bibtype J - Journal Article
ARLID 0314410
utime 20240111140709.2
mtime 20090325235959.9
WOS 000262310200003
DOI 10.1007/s10479-008-0355-9
title (primary) (eng) The Expected Loss in the Discretization of Multistage Stochastic Programming Problems - Estimation and Convergence Rate
specification
page_count 19 s.
media_type www
serial
ARLID cav_un_epca*0250807
ISSN 0254-5330
title Annals of Operations Research
volume_id 165
volume 1 (2009)
page_num 29-45
publisher
name Springer
title (cze) Očekávaná ztráta v diskretizaci vícestupňového problému stochastického programování - odhady a konvergence cen
keyword multistage stochastic programming problems
keyword approximation
keyword discretization
keyword Monte Carlo
author (primary)
ARLID cav_un_auth*0101206
name1 Šmíd
name2 Martin
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2008/E/smid-the expected loss in the discretization of multistage stochastic programming problems - estimation and convergence rate.pdf
cas_special
project
project_id GA402/04/1294
agency GA ČR
ARLID cav_un_auth*0001810
research CEZ:AV0Z10750506
abstract (eng) In the present paper, the approximate computation of a multistage stochastic programming problem (MSSPP) is studied. First, the MSSPP and its discretization are defined. Second, the expected loss caused by the usage of the `approximate'' solution instead of the ``exact'' one is studied. Third, new results concerning approximate computation of expectations are presented. Finally, the main results of the paper - an upper bound of the expected loss and an estimate of the convergence rate of the expected loss - are stated.
abstract (cze) V článku presentujeme přibližný výpočet vícestupňového problému stochastického programování.
reportyear 2009
RIV BB
permalink http://hdl.handle.net/11104/0164931
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mrcbT16-k 3474
mrcbT16-l 119
arlyear 2009
mrcbU34 000262310200003 WOS
mrcbU56 pdf
mrcbU63 cav_un_epca*0250807 Annals of Operations Research 0254-5330 1572-9338 Roč. 165 č. 1 2009 29 45 Springer