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<bibitem type="A">   <ARLID>0637013</ARLID> <utime>20260224162748.4</utime><mtime>20250701235959.9</mtime>             <title language="eng" primary="1">Tools for Adaptive Portfolio Optimization</title>     <keyword>portfolio</keyword>   <keyword>optimization</keyword>   <keyword>structure estimation</keyword>   <keyword>multivariate linear regression</keyword>   <keyword>linear quadratic regulator</keyword>   <keyword>decision making</keyword>   <keyword>dynamic programming</keyword>    <author primary="1"> <ARLID>cav_un_auth*0489870</ARLID> <name1>Procházka</name1> <name2>Tomáš</name2> <institution>UTIA-B</institution> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept language="eng">Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department language="eng">AS</department> <country>CZ</country>  <share>100</share> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2025/AS/prochazka-0637013.pdf</url> </source>         <cas_special> <project> <project_id>CA21169</project_id> <agency>EU-COST</agency> <country>XE</country> <ARLID>cav_un_auth*0452289</ARLID> </project>  <abstract language="eng" primary="1">This research project presents a combination of techniques to develop a sound mathematical approach to the portfolio optimization problem.  Abstract ID : 3 - Tools for Adaptive Portfolio Optimization</abstract>    <action target="CST"> <name>Stochastic and Physical Monitoring Systems 2025 (SPMS 2025) /16./ (19.06.2025 - 22.06.2025)</name> <dates>20250619</dates> <unknown tag="mrcbC20-s">20250622</unknown> <place>Děčín</place> <country>CZ</country>  <url>https://indico.fjfi.cvut.cz/event/366//</url> <ARLID>cav_un_auth*0489871</ARLID> </action>  <RIV>BB</RIV> <FORD0>20000</FORD0> <FORD1>20200</FORD1> <FORD2>20205</FORD2>   <reportyear>2026</reportyear>     <presentation_type> PT </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>https://hdl.handle.net/11104/0370101</permalink>   <confidential>S</confidential>        <arlyear>2025</arlyear>       <unknown tag="mrcbU14"> SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> WOS </unknown> </cas_special> </bibitem>