bibtype C - Conference Paper (international conference)
ARLID 0410335
utime 20240103182206.9
mtime 20060210235959.9
ISBN 3-540-67094-7
title (primary) (eng) Multistage stochastic programming; stability, approximation and Markov dependence
publisher
place Berlin
name Springer
pub_time 2000
specification
page_count 6 s.
serial
title Operations Research. Proceedings 1999
page_num 136-141
editor
name1 Inderfurth
name2 K.
editor
name1 Schwödiauer
name2 G.
author (primary)
ARLID cav_un_auth*0101122
name1 Kaňková
name2 Vlasta
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 12B
cas_special
project
project_id GA402/98/0742
agency GA ČR
ARLID cav_un_auth*0009149
project
project_id GA402/99/1136
agency GA ČR
ARLID cav_un_auth*0009183
research AV0Z1075907
abstract (eng) The paper deals with multistage stochastic programming problems. In particular, the aim of the paper is to construct an approximate method of solution of these complicated optimization problems. The introduced method guarantees the prescribed approximation error. To achieve this result a special type of Markov dependence (satisfied in many applications) is assumed.
action
ARLID cav_un_auth*0212644
name Symposium on Operations Research (SOR '99)
place Magdeburg
country DE
dates 01.09.1999-03.09.1999
RIV BB
department E
permalink http://hdl.handle.net/11104/0130425
ID_orig UTIA-B 20000051
arlyear 2000
mrcbU10 2000
mrcbU10 Berlin Springer
mrcbU12 3-540-67094-7
mrcbU63 Operations Research. Proceedings 1999 136 141
mrcbU67 Inderfurth K. 340
mrcbU67 Schwödiauer G. 340