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<bibitem type="J">   <ARLID>0573172</ARLID> <utime>20240402214111.3</utime><mtime>20230623235959.9</mtime>   <SCOPUS>85150348624</SCOPUS> <WOS>000953804900003</WOS>  <DOI>10.1007/s10957-023-02198-0</DOI>           <title language="eng" primary="1">Stochastic approximation procedures for Lévy-driven SDEs</title>  <specification> <page_count>21 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0257061</ARLID><ISSN>0022-3239</ISSN><title>Journal of Optimization Theory and Applications</title><part_num/><part_title/><volume_id>197</volume_id><volume>2 (2023)</volume><page_num>817-837</page_num><publisher><place/><name>Springer</name><year/></publisher></serial>    <keyword>stochastic approximation algorithms</keyword>   <keyword>Lévy-driven stochastic differential equations</keyword>    <author primary="1"> <ARLID>cav_un_auth*0233028</ARLID> <name1>Seidler</name1> <name2>Jan</name2> <institution>UTIA-B</institution> <full_dept language="cz">Stochastická informatika</full_dept> <full_dept language="eng">Department of Stochastic Informatics</full_dept> <department language="cz">SI</department> <department language="eng">SI</department> <full_dept>Department of Stochastic Informatics</full_dept> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0451923</ARLID> <name1>Týbl</name1> <name2>O.</name2> <country>CZ</country> </author>   <source> <url>http://library.utia.cas.cz/separaty/2023/SI/seidler-0573172.pdf</url> </source> <source> <url>https://link.springer.com/article/10.1007/s10957-023-02198-0</url>  </source>        <cas_special> <project> <project_id>GA19-07140S</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0385132</ARLID> </project>  <abstract language="eng" primary="1">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.</abstract>     <result_subspec>WOS</result_subspec> <RIV>BB</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10103</FORD2>    <reportyear>2024</reportyear>      <num_of_auth>2</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>https://hdl.handle.net/11104/0343816</permalink>   <confidential>S</confidential>  <unknown tag="mrcbC86"> Article Operations Research Management Science|Mathematics Applied </unknown> <unknown tag="mrcbC91"> A </unknown>         <unknown tag="mrcbT16-e">MATHEMATICS.APPLIED|OPERATIONSRESEARCH&amp;MANAGEMENTSCIENCE</unknown> <unknown tag="mrcbT16-f">1.8</unknown> <unknown tag="mrcbT16-g">0.3</unknown> <unknown tag="mrcbT16-h">13.1</unknown> <unknown tag="mrcbT16-i">0.00651</unknown> <unknown tag="mrcbT16-j">0.834</unknown> <unknown tag="mrcbT16-k">7598</unknown> <unknown tag="mrcbT16-q">105</unknown> <unknown tag="mrcbT16-s">0.864</unknown> <unknown tag="mrcbT16-y">35.45</unknown> <unknown tag="mrcbT16-x">1.84</unknown> <unknown tag="mrcbT16-3">1035</unknown> <unknown tag="mrcbT16-4">Q1</unknown> <unknown tag="mrcbT16-5">1.500</unknown> <unknown tag="mrcbT16-6">207</unknown> <unknown tag="mrcbT16-7">Q2</unknown> <unknown tag="mrcbT16-C">56.3</unknown> <unknown tag="mrcbT16-D">Q2</unknown> <unknown tag="mrcbT16-E">Q2</unknown> <unknown tag="mrcbT16-M">0.64</unknown> <unknown tag="mrcbT16-N">Q2</unknown> <unknown tag="mrcbT16-P">73.3</unknown> <arlyear>2023</arlyear>       <unknown tag="mrcbU14"> 85150348624 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000953804900003 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0257061 Journal of Optimization Theory and Applications Roč. 197 č. 2 2023 817 837 0022-3239 1573-2878 Springer </unknown> </cas_special> </bibitem>