ArbiLoMod: Local Solution Spaces by Random Training in Electrodynamics

Buhr A, Engwer C, Ohlberger M, Rave S

Forschungsartikel (Buchbeitrag) | Peer reviewed

Zusammenfassung

The simulation method ArbiLoMod (Buhr et al., SIAM J. Sci. Comput. 2017, accepted) has the goal of providing users of Finite Element based simulation software with quick re-simulation after localized changes to the model under consideration. It generates a Reduced Order Model (ROM) for the full model without ever solving the full model. To this end, a localized variant of the Reduced Basis method is employed, solving only small localized problems in the generation of the reduced basis. The key to quick re-simulation lies in recycling most of the localized basis vectors after a localized model change. In this publication, ArbiLoMod’s local training algorithm is analyzed numerically for the non-coercive problem of time harmonic Maxwell’s equations in 2D, formulated inH(curl).

Details zur Publikation

Herausgeber*innenBenner P., Ohlberger M., Patera A., Rozza G., Urban K.
BuchtitelModel Reduction of Parametrized Systems (Band 2016)
Seitenbereich137-148
VerlagSpringer International Publishing
ErscheinungsortCham
Titel der ReiheMS&A (Modeling, Simulation and Applications)
Nr. in Reihe17
StatusVeröffentlicht
Veröffentlichungsjahr2017
Sprache, in der die Publikation verfasst istEnglisch
ISBN978-3-319-58785-1
DOI: 10.1007/978-3-319-58786-8_9

Autor*innen der Universität Münster

Buhr, Andreas
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)
Engwer, Christian
Professur für Anwendungen von partiellen Differentialgleichungen (Prof. Engwer)
Center for Nonlinear Science (CeNoS)
Ohlberger, Mario
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)
Center for Nonlinear Science (CeNoS)
Center for Multiscale Theory and Computation (CMTC)
Rave, Stephan
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)