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<bibitem type="J">   <ARLID>0541231</ARLID> <utime>20240103225625.4</utime><mtime>20210319235959.9</mtime>   <WOS>000636678300020</WOS> <SCOPUS>85102060544</SCOPUS>  <DOI>10.1137/19M1257408</DOI>           <title language="eng" primary="1">On a Semismooth* Newton Method for Solving Generalized Equations</title>  <specification> <page_count>29 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0255073</ARLID><ISSN>1052-6234</ISSN><title>SIAM Journal on Optimization</title><part_num/><part_title/><volume_id>31</volume_id><volume>1 (2021)</volume><page_num>489-517</page_num><publisher><place/><name>SIAM Society for Industrial and Applied Mathematics</name><year/></publisher></serial>    <keyword>Newton method</keyword>   <keyword>semismoothness*</keyword>   <keyword>superlinear convergence</keyword>   <keyword>generalized equation</keyword>   <keyword>coderivatives</keyword>    <author primary="1"> <ARLID>cav_un_auth*0319636</ARLID> <name1>Gfrerer</name1> <name2>H.</name2> <country>AT</country> </author> <author primary="0"> <ARLID>cav_un_auth*0101173</ARLID> <name1>Outrata</name1> <name2>Jiří</name2> <institution>UTIA-B</institution> <full_dept language="cz">Matematická teorie rozhodování</full_dept> <full_dept>Department of Decision Making Theory</full_dept> <department language="cz">MTR</department> <department>MTR</department> <full_dept>Department of Decision Making Theory</full_dept> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2021/MTR/outrata-0541231.pdf</url> </source> <source> <url>https://epubs.siam.org/doi/10.1137/19M1257408</url>  </source>        <cas_special> <project> <project_id>GA17-04301S</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0347023</ARLID> </project>  <abstract language="eng" primary="1">In the paper, a Newton-type method for the solution of generalized equations (GEs) is derived, where the linearization concerns both the single-valued and the multivalued part of the considered GE. The method is based on the new notion of semismoothness*, which, together with a suitable regularity condition, ensures the local superlinear convergence. An implementable version of the new method is derived for a class of GEs, frequently arising in optimization and equilibrium models. </abstract>     <result_subspec>WOS</result_subspec> <RIV>BA</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10101</FORD2>    <reportyear>2022</reportyear>     <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0318817</permalink>   <confidential>S</confidential>  <unknown tag="mrcbC86"> 1* Article Mathematics Applied </unknown> <unknown tag="mrcbC91"> C </unknown>         <unknown tag="mrcbT16-e">MATHEMATICS.APPLIED</unknown> <unknown tag="mrcbT16-f">3.982</unknown> <unknown tag="mrcbT16-g">0.7</unknown> <unknown tag="mrcbT16-h">11.7</unknown> <unknown tag="mrcbT16-i">0.01449</unknown> <unknown tag="mrcbT16-j">2.555</unknown> <unknown tag="mrcbT16-k">10451</unknown> <unknown tag="mrcbT16-q">152</unknown> <unknown tag="mrcbT16-s">3.020</unknown> <unknown tag="mrcbT16-y">40.9</unknown> <unknown tag="mrcbT16-x">2.76</unknown> <unknown tag="mrcbT16-3">1241</unknown> <unknown tag="mrcbT16-4">Q1</unknown> <unknown tag="mrcbT16-5">2.510</unknown> <unknown tag="mrcbT16-6">120</unknown> <unknown tag="mrcbT16-7">Q1</unknown> <unknown tag="mrcbT16-C">84.8</unknown> <unknown tag="mrcbT16-D">Q1*</unknown> <unknown tag="mrcbT16-E">Q1*</unknown> <unknown tag="mrcbT16-M">1.5</unknown> <unknown tag="mrcbT16-N">Q1</unknown> <unknown tag="mrcbT16-P">84.831</unknown> <arlyear>2021</arlyear>       <unknown tag="mrcbU14"> 85102060544 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000636678300020 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0255073 SIAM Journal on Optimization 1052-6234 1095-7189 Roč. 31 č. 1 2021 489 517 SIAM Society for Industrial and Applied Mathematics </unknown> </cas_special> </bibitem>