bibtype M - Monography Chapter
ARLID 0410299
utime 20240103182204.5
mtime 20060210235959.9
title (primary) (eng) Randomized algorithms for control and optimization
part_num 14
part_title Control and Complexity
publisher
place New York
name Wiley
pub_time 2000
specification
page_count 14 s.
serial
title Automation
page_num 1-14
editor
name1 Samad
name2 T.
editor
name1 Wayrauch
name2 J.
author (primary)
ARLID cav_un_auth*0101146
name1 Kulhavý
name2 Rudolf
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 09I
cas_special
research AV0Z1075907
abstract (eng) The chapter discusses how randomized algorithms can contribute to solution of computationally hard problems in control and optimization. A special attention is paid to Markov Chain Monte Carlo statistical methods, stochastic optimization and ordinal optimization.
RIV BC
department AS
permalink http://hdl.handle.net/11104/0130390
ID_orig UTIA-B 20000015
arlyear 2000
mrcbU10 2000
mrcbU10 New York Wiley
mrcbU63 Automation 1 14
mrcbU67 Samad T. 340
mrcbU67 Wayrauch J. 340