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<bibitem type="J">   <ARLID>0475647</ARLID> <utime>20240103214205.6</utime><mtime>20170626235959.9</mtime>   <SCOPUS>85021648152</SCOPUS> <WOS>000404011300002</WOS>  <DOI>10.1214/17-ECP67</DOI>           <title language="eng" primary="1">A note on continuous-time stochastic approximation in infinite dimensions</title>  <specification> <page_count>13 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0084351</ARLID><ISSN>1083-589X</ISSN><title>Electronic Communications in Probability</title><part_num/><part_title/><volume_id>22</volume_id><volume/></serial>    <keyword>stochastic approximation</keyword>   <keyword>stochastic parabolic problems</keyword>   <keyword>variational solutions</keyword>    <author primary="1"> <ARLID>cav_un_auth*0233028</ARLID> <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>  <name1>Seidler</name1> <name2>Jan</name2> <institution>UTIA-B</institution> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0347232</ARLID>  <name1>Žák</name1> <name2>F.</name2> <country>GB</country> </author>   <source> <url>http://library.utia.cas.cz/separaty/2017/SI/seidler-0475647.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0321649</ARLID> <project_id>GA15-08819S</project_id> <agency>GA ČR</agency> <country>CZ</country> </project>  <abstract language="eng" primary="1">We find sufficient conditions for convergence of a continuous-time Robbins-Monro type stochastic approximation procedure in infinite dimensional Hilbert spaces in terms of Lyapunova functions, the variational approach to stochastic partial differential equations being used as the main tool.</abstract>     <RIV>BA</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10103</FORD2>    <reportyear>2018</reportyear>      <num_of_auth>2</num_of_auth>  <unknown tag="mrcbC52"> 4 A hod 4ah 20231122142510.3 </unknown> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0272347</permalink>  <unknown tag="mrcbC61"> 1 </unknown> <unknown tag="mrcbC64"> 1 Department of Stochastic Informatics UTIA-B 10103 STATISTICS &amp; PROBABILITY </unknown>  <confidential>S</confidential>  <article_num> 36 </article_num> <unknown tag="mrcbC86"> 3+4 Article Statistics Probability  </unknown> <unknown tag="mrcbC86"> 3+4 Article Statistics Probability  </unknown> <unknown tag="mrcbC86"> 3+4 Article Statistics Probability  </unknown>         <unknown tag="mrcbT16-e">STATISTICS&amp;PROBABILITY</unknown> <unknown tag="mrcbT16-f">0.714</unknown> <unknown tag="mrcbT16-g">0.015</unknown> <unknown tag="mrcbT16-h">5.5</unknown> <unknown tag="mrcbT16-i">0.00518</unknown> <unknown tag="mrcbT16-j">0.905</unknown> <unknown tag="mrcbT16-k">543</unknown> <unknown tag="mrcbT16-s">1.072</unknown> <unknown tag="mrcbT16-5">0.508</unknown> <unknown tag="mrcbT16-6">68</unknown> <unknown tag="mrcbT16-7">Q4</unknown> <unknown tag="mrcbT16-B">55.405</unknown> <unknown tag="mrcbT16-C">13.4</unknown> <unknown tag="mrcbT16-D">Q2</unknown> <unknown tag="mrcbT16-E">Q2</unknown> <unknown tag="mrcbT16-M">0.26</unknown> <unknown tag="mrcbT16-N">Q4</unknown> <unknown tag="mrcbT16-P">13.415</unknown> <arlyear>2017</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: seidler-0475647.pdf </unknown>    <unknown tag="mrcbU14"> 85021648152 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000404011300002 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0084351 Electronic Communications in Probability 1083-589X 1083-589X Roč. 22 č. 1 2017 </unknown> </cas_special> </bibitem>