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MATLAB Implementation of Element-Based Solvers
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SYSNO ASEP 0522492 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title MATLAB Implementation of Element-Based Solvers Author(s) Marcinkowski, L. (PL)
Valdman, Jan (UTIA-B) RID, ORCIDSource Title Large-Scale Scientific Computing : 12th International Conference, LSSC 2019. - Cham : Springer, 2020 / Lirkov I. ; Margenov S. - ISSN 0302-9743 - ISBN 978-3-030-41031-5 Pages s. 601-609 Number of pages 9 s. Publication form Print - P Action International Conference on Large-Scale Scientific Computing 2019 /12./ Event date 10.06.2019 - 14.06.2019 VEvent location Sozopol Country BG - Bulgaria Event type WRD Language eng - English Country CH - Switzerland Keywords MATLAB code vectorization ; Finite elements ; Stiffness and mass matrices ; Iterative solvers Subject RIV BA - General Mathematics OECD category Applied mathematics R&D Projects GA17-04301S GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 EID SCOPUS 85081131941 DOI 10.1007/978-3-030-41032-2_69 Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2021 Electronic address https://link.springer.com/chapter/10.1007%2F978-3-030-41032-2_69
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