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<bibitem type="J">   <ARLID>0444081</ARLID> <utime>20240103210058.6</utime><mtime>20150519235959.9</mtime>   <WOS>000361571100020</WOS> <SCOPUS>84942986737</SCOPUS>  <DOI>10.1016/j.amc.2015.03.105</DOI>           <title language="eng" primary="1">Fast MATLAB assembly of FEM matrices in 2D and 3D: Edge elements</title>  <specification> <page_count>12 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0256160</ARLID><ISSN>0096-3003</ISSN><title>Applied Mathematics and Computation</title><part_num/><part_title/><volume_id>267</volume_id><volume>1 (2015)</volume><page_num>252-263</page_num><publisher><place/><name>Elsevier</name><year/></publisher></serial>    <keyword>MATLAB code vectorization</keyword>   <keyword>Finite element method</keyword>   <keyword>Edge element</keyword>   <keyword>Raviart–Thomas element</keyword>    <author primary="1"> <ARLID>cav_un_auth*0316843</ARLID> <name1>Anjam</name1> <name2>I.</name2> <country>FI</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0292941</ARLID> <name1>Valdman</name1> <name2>Jan</name2> <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> <institution>UTIA-B</institution> <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/2015/MTR/valdman-0444081.pdf</url> </source>        <cas_special> <project> <project_id>GA13-18652S</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0292653</ARLID> </project>  <abstract language="eng" primary="1">We propose an effective and flexible way to assemble finite element stiffness and mass  matrices in MATLAB. We apply this for problems discretized by edge finite elements.  Typical edge finite elements are Raviart–Thomas elements used in discretizations of  Hdiv spaces and Nédélec elements in discretizations of Hcurl spaces. We explain  vectorization ideas and comment on a freely available MATLAB code which is fast and  scalable with respect to time.</abstract>     <reportyear>2016</reportyear>  <RIV>BA</RIV>     <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0246674</permalink>   <confidential>S</confidential>          <unknown tag="mrcbT16-e">MATHEMATICS.APPLIED</unknown> <unknown tag="mrcbT16-f">1.436</unknown> <unknown tag="mrcbT16-g">0.305</unknown> <unknown tag="mrcbT16-h">6.1</unknown> <unknown tag="mrcbT16-i">0.04075</unknown> <unknown tag="mrcbT16-j">0.465</unknown> <unknown tag="mrcbT16-k">17704</unknown> <unknown tag="mrcbT16-s">0.950</unknown> <unknown tag="mrcbT16-4">Q2</unknown> <unknown tag="mrcbT16-5">1.087</unknown> <unknown tag="mrcbT16-6">1372</unknown> <unknown tag="mrcbT16-7">Q1</unknown> <unknown tag="mrcbT16-B">28.748</unknown> <unknown tag="mrcbT16-C">78.9</unknown> <unknown tag="mrcbT16-D">Q3</unknown> <unknown tag="mrcbT16-E">Q2</unknown> <unknown tag="mrcbT16-P">78.937</unknown> <arlyear>2015</arlyear>       <unknown tag="mrcbU14"> 84942986737 SCOPUS </unknown> <unknown tag="mrcbU34"> 000361571100020 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0256160 Applied Mathematics and Computation 0096-3003 1873-5649 Roč. 267 č. 1 2015 252 263 Elsevier </unknown> </cas_special> </bibitem>