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<bibitem type="J">   <ARLID>0547132</ARLID> <utime>20230418204323.3</utime><mtime>20211025235959.9</mtime>   <SCOPUS>85099045690</SCOPUS> <WOS>000605112400001</WOS>  <DOI>10.1007/s11228-020-00569-7</DOI>           <title language="eng" primary="1">Sufficient Conditions for Metric Subregularity of Constraint Systems with Applications to Disjunctive and Ortho-Disjunctive Programs</title>  <specification> <page_count>35 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0343967</ARLID><ISSN>1877-0533</ISSN><title>Set-Valued and Variational Analysis</title><part_num/><part_title/><volume_id>30</volume_id><volume>1 (2022)</volume><page_num>143-177</page_num><publisher><place/><name>Springer</name><year/></publisher></serial>    <keyword>Metric subregularity</keyword>   <keyword>Error bound property</keyword>   <keyword>Pseudo-/quasi-normality</keyword>   <keyword>MPCC</keyword>   <keyword>MPVC</keyword>   <keyword>Disjunctive programs</keyword>   <keyword>Ortho-disjunctive programs</keyword>    <author primary="1"> <ARLID>cav_un_auth*0415894</ARLID> <name1>Benko</name1> <name2>M.</name2> <country>AT</country>  <share>34%</share> </author> <author primary="0"> <ARLID>cav_un_auth*0220207</ARLID> <name1>Červinka</name1> <name2>Michal</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>  <share>33%</share> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0415895</ARLID> <name1>Hoheisel</name1> <name2>T.</name2> <country>CA</country>  <share>33%</share> </author>   <source> <url>http://library.utia.cas.cz/separaty/2021/MTR/cervinka-0547132.pdf</url> </source> <source> <url>https://link.springer.com/article/10.1007/s11228-020-00569-7</url>  </source>        <cas_special> <project> <project_id>GA18-04145S</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0373104</ARLID> </project>  <abstract language="eng" primary="1">This paper is devoted to the study of the metric subregularity constraint qualification for general optimization problems, with the emphasis on the nonconvex setting. We elaborate on notions of directional pseudo- and quasi-normality, recently introduced by Bai et al., which combine the standard approach via pseudo- and quasi-normality with modern tools of directional variational analysis. We focus on applications to disjunctive programs, where (directional) pseudo-normality is characterized via an extremal condition. This, in turn, yields efficient tools to verify pseudo-normality and the metric subregularity constraint qualification, which include, but are not limited to, Robinson’s result on polyhedral multifunctions and Gfrerer’s second-order sufficient condition for metric subregularity. Finally, we refine our study by defining the new class of ortho-disjunctive programs which comprises prominent optimization problems such as mathematical programs with complementarity, vanishing or switching constraints.</abstract>     <result_subspec>WOS</result_subspec> <RIV>BA</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10102</FORD2>    <reportyear>2023</reportyear>      <num_of_auth>3</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0324444</permalink>  <cooperation> <ARLID>cav_un_auth*0415897</ARLID> <name>Institute of Computational Mathematics, Johannes Kepler University Linz, A-4040 Linz, Austria</name> <country>AT</country> </cooperation> <cooperation> <ARLID>cav_un_auth*0415898</ARLID> <name>Faculty of Mathematics, University of Vienna, 1090 Vienna, Austria</name> <country>AT</country> </cooperation> <cooperation> <ARLID>cav_un_auth*0340904</ARLID> <name>Fakulta socialnich ved UK</name> <institution>FSV UK</institution> </cooperation> <cooperation> <ARLID>cav_un_auth*0415899</ARLID> <name>Institute of Mathematics and Statistics, McGill University, 805 Sherbrooke St West, Room 1114 Montr´eal, Qu´ebec, H3A 0B9, Canada</name> <country>CA</country> </cooperation>  <confidential>S</confidential>  <unknown tag="mrcbC86"> Article Mathematics Applied </unknown> <unknown tag="mrcbC91"> C </unknown>         <unknown tag="mrcbT16-e">MATHEMATICS.APPLIED</unknown> <unknown tag="mrcbT16-f">1.5</unknown> <unknown tag="mrcbT16-g">0.3</unknown> <unknown tag="mrcbT16-h">4.9</unknown> <unknown tag="mrcbT16-i">0.00194</unknown> <unknown tag="mrcbT16-j">0.937</unknown> <unknown tag="mrcbT16-k">633</unknown> <unknown tag="mrcbT16-s">0.86</unknown> <unknown tag="mrcbT16-5">1.500</unknown> <unknown tag="mrcbT16-6">44</unknown> <unknown tag="mrcbT16-7">Q2</unknown> <unknown tag="mrcbT16-C">60.9</unknown> <unknown tag="mrcbT16-D">Q1</unknown> <unknown tag="mrcbT16-E">Q2</unknown> <unknown tag="mrcbT16-M">0.77</unknown> <unknown tag="mrcbT16-N">Q2</unknown> <unknown tag="mrcbT16-P">60.9</unknown> <arlyear>2022</arlyear>       <unknown tag="mrcbU14"> 85099045690 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000605112400001 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0343967 Set-Valued and Variational Analysis 1877-0533 1877-0541 Roč. 30 č. 1 2022 143 177 Springer </unknown> </cas_special> </bibitem>