Speeding Up SSFEM Computation Using Kronecker Tensor Products

Speeding Up SSFEM Computation Using Kronecker Tensor Products

The spectral stochastic finite-element method makes it possible to convey some random aspects of input data to the output data. However , the system size dramatically increases with the number of input random variables. Using matrix Kronecker tensor products for system solving noticeably reduces the...

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Veröffentlicht in:IEEE transactions on magnetics 2009-03, Vol.45, p.1432-1435
Hauptverfasser: Gaignaire, R, Guyomarc'H, F, Moreau, O, Clénet, S, Sudret, B
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science
Distributed, Parallel, and Cluster Computing
Electromagnetism
Engineering Sciences
Mathematics
Numerical Analysis
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Zusammenfassung:The spectral stochastic finite-element method makes it possible to convey some random aspects of input data to the output data. However , the system size dramatically increases with the number of input random variables. Using matrix Kronecker tensor products for system solving noticeably reduces the computation time and the storage requirements.
ISSN:0018-9464
DOI:10.1109/TMAG.2009.2012662