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Speeding Up SSFEM Computation Using Kronecker Tensor Products

Year: 2009

Type: article

Abstract: 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.

Source: IEEE Transactions on Magnetics

DOI: 10.1109/tmag.2009.2012662

Authors: R. Gaignaire, F. Guyomarc'h, O. Moreau, S. Clenet, B. Sudret

Institutions: University of Liège, Institut national de recherche en sciences et technologies du numérique, Centre Inria de l'Université de Lille, Électricité de France (France), Arts et Métiers, Laboratoire d'Électrotechnique et d'Électronique de Puissance de Lille

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2139675554

FWCI: 1.238

Cites: 4

Cited by: 8

Related to: 10