bibtype J - Journal Article
ARLID 0573172
utime 20240402214111.3
mtime 20230623235959.9
SCOPUS 85150348624
WOS 000953804900003
DOI 10.1007/s10957-023-02198-0
title (primary) (eng) Stochastic approximation procedures for Lévy-driven SDEs
specification
page_count 21 s.
media_type P
serial
ARLID cav_un_epca*0257061
ISSN 0022-3239
title Journal of Optimization Theory and Applications
volume_id 197
volume 2 (2023)
page_num 817-837
publisher
name Springer
keyword stochastic approximation algorithms
keyword Lévy-driven stochastic differential equations
author (primary)
ARLID cav_un_auth*0233028
name1 Seidler
name2 Jan
institution UTIA-B
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) SI
full_dept Department of Stochastic Informatics
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0451923
name1 Týbl
name2 O.
country CZ
source
url http://library.utia.cas.cz/separaty/2023/SI/seidler-0573172.pdf
source
url https://link.springer.com/article/10.1007/s10957-023-02198-0
cas_special
project
project_id GA19-07140S
agency GA ČR
country CZ
ARLID cav_un_auth*0385132
abstract (eng) A continuous-time Robbins-Monro-type stochastic approximation procedure for a system described by multidimensional stochastic differential equation driven by a general Lévy process is studied.
result_subspec WOS
RIV BB
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2024
num_of_auth 2
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0343816
confidential S
mrcbC91 A
mrcbT16-e MATHEMATICSAPPLIED|OPERATIONSRESEARCHMANAGEMENTSCIENCE
mrcbT16-j 0.831
mrcbT16-D Q2
arlyear 2023
mrcbU14 85150348624 SCOPUS
mrcbU24 PUBMED
mrcbU34 000953804900003 WOS
mrcbU63 cav_un_epca*0257061 Journal of Optimization Theory and Applications Roč. 197 č. 2 2023 817 837 0022-3239 1573-2878 Springer