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<bibitem type="C">   <ARLID>0522492</ARLID> <utime>20250123091257.2</utime><mtime>20200225235959.9</mtime>   <SCOPUS>85081131941</SCOPUS> <WOS>000659377600069</WOS>  <DOI>10.1007/978-3-030-41032-2_69</DOI>           <title language="eng" primary="1">MATLAB Implementation of Element-Based Solvers</title>  <specification> <page_count>9 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0522491</ARLID><ISBN>978-3-030-41031-5</ISBN><ISSN>0302-9743</ISSN><title>Large-Scale Scientific Computing : 12th International Conference, LSSC 2019</title><part_num/><part_title/><page_num>601-609</page_num><publisher><place>Cham</place><name>Springer</name><year>2020</year></publisher><editor><name1>Lirkov</name1><name2>I.</name2></editor><editor><name1>Margenov</name1><name2>S.</name2></editor></serial>    <keyword>MATLAB code vectorization</keyword>   <keyword>Finite elements</keyword>   <keyword>Stiffness and mass matrices</keyword>   <keyword>Iterative solvers</keyword>    <author primary="1"> <ARLID>cav_un_auth*0319983</ARLID> <name1>Marcinkowski</name1> <name2>L.</name2> <country>PL</country> </author> <author primary="0"> <ARLID>cav_un_auth*0292941</ARLID> <name1>Valdman</name1> <name2>Jan</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> <garant>K</garant> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>https://link.springer.com/chapter/10.1007%2F978-3-030-41032-2_69</url>  </source> <source> <url>http://library.utia.cas.cz/separaty/2020/MTR/valdman-0522492.pdf</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">Rahman and Valdman (2013) introduced a vectorized way to assemble finite element stiffness and mass matrices in MATLAB. Local element matrices are computed all at once by array operations and stored in multi-dimensional arrays (matrices). We build some iterative solvers on available multi-dimensional structures completely avoiding the use of a sparse matrix.</abstract>    <action target="WRD"> <ARLID>cav_un_auth*0389906</ARLID> <name>International Conference on Large-Scale Scientific Computing 2019 /12./</name> <dates>20190610</dates> <unknown tag="mrcbC20-s">20190614</unknown> <place>Sozopol</place> <country>BG</country>  </action>  <RIV>BA</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10102</FORD2>    <reportyear>2021</reportyear>     <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0306971</permalink>   <confidential>S</confidential>         <arlyear>2020</arlyear>       <unknown tag="mrcbU14"> 85081131941 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000659377600069 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0522491 Large-Scale Scientific Computing : 12th International Conference, LSSC 2019 978-3-030-41031-5 0302-9743 1611-3349 601 609 Cham Springer 2020 </unknown> <unknown tag="mrcbU67"> 340 Lirkov I. </unknown> <unknown tag="mrcbU67"> 340 Margenov S. </unknown> </cas_special> </bibitem>