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Lean cohomology computation for electromagnetic modeling

Dlotko, Pawel
•
Kapidani, Bernard
•
Specogna, Ruben
2018
  • journal article

Periodico
IEEE TRANSACTIONS ON MAGNETICS
Abstract
Solving eddy current problems formulated by using a magnetic scalar potential in the insulator requires a topological pre-processing to find the so-called first cohomology basis of the insulating region, which may be very time-consuming for challenging industrially driven problems. The physics-inspired Dłotko-Specogna (DS) algorithm was shown to be superior to alternatives in performing such a topological pre-processing. Yet, the DS algorithm is particularly fast when it produces as output not a regular cohomology basis but a so-called lazy one, which contains the regular one but it keeps also some additional redundant elements. Having a regular basis may be advantageous over the lazy basis if a technique to produce it would take about the same time as the computation of a lazy basis. In the literature, such a technique is missing. This paper covers this gap by introducing modifications to the DS algorithm to compute a regular basis of the first cohomology group in practically the same time as the generation of a lazy cohomology basis. The speedup of this modified DS algorithm with respect to the best alternative reaches more than two orders of magnitudes on challenging benchmark problems. This demonstrates the potential impact of the proposed contribution in the low-frequency computational electromagnetics community and beyond. © 2017 IEEE.
DOI
10.1109/TMAG.2017.2749618
WOS
WOS:000426003900111
Archivio
http://hdl.handle.net/11390/1127251
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85029185970
http://ieeexplore.ieee.org/document/8027101/
Diritti
open access
Soggetti
  • cohomology

  • cut

  • eddy current

  • first de Rham cohomol...

  • magnetic scalar poten...

  • Electronic, Optical a...

  • Electrical and Electr...

Scopus© citazioni
3
Data di acquisizione
Jun 2, 2022
Vedi dettagli
Web of Science© citazioni
2
Data di acquisizione
Mar 11, 2024
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