Efficient Spectral Stochastic Finite Element Methods for Helmholtz Equations with Random Inputs

Efficient Spectral Stochastic Finite Element Methods for Helmholtz Equations with Random Inputs

Year:    2019

East Asian Journal on Applied Mathematics, Vol. 9 (2019), Iss. 3 : pp. 601–621

Abstract

The implementation of spectral stochastic Galerkin finite element approximation methods for Helmholtz equations with random inputs is considered. The corresponding linear systems have matrices represented as Kronecker products. The sparsity of such matrices is analysed and a mean-based preconditioner is constructed. Numerical examples show the efficiency of the mean-based preconditioners for stochastic Helmholtz problems, which are not too close to a resonant frequency.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/eajam.140119.160219

East Asian Journal on Applied Mathematics, Vol. 9 (2019), Iss. 3 : pp. 601–621

Published online:    2019-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    21

Keywords:    Helmholtz equations PDEs with random data generalised polynomial chaos stochastic finite elements iterative solvers.