Numerical results for adaptive (negative norm) constrained first order system least squares formulations
We perform a followup computational study of the recently proposed space–time first order system least squares ( FOSLS ) method subject to constraints referred to as CFOSLS where we now combine it with the new capability we have developed, namely, parallel adaptive mesh refinement (AMR) in 4D. The A...
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Veröffentlicht in: | Computers & mathematics with applications (1987) 2021-08, Vol.95 (C), p.256-270 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We perform a followup computational study of the recently proposed space–time first order system least squares ( FOSLS ) method subject to constraints referred to as CFOSLS where we now combine it with the new capability we have developed, namely, parallel adaptive mesh refinement (AMR) in 4D. The AMR is needed to alleviate the high memory demand in the combined space time domain and also allows general (4D) meshes that better follow the physics in space–time. With an extensive set of computational experiments, performed in parallel, we demonstrate the feasibility of the combined space–time AMR approach in both two space plus time and three space plus time dimensions. |
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ISSN: | 0898-1221 1873-7668 |
DOI: | 10.1016/j.camwa.2020.08.025 |