Local MFS Matrix Decomposition Algorithms for Elliptic BVPs in Annuli

Local MFS Matrix Decomposition Algorithms for Elliptic BVPs in Annuli

Year:    2024

Author:    C.S. Chen, Andreas Karageorghis, Min Lei

Numerical Mathematics: Theory, Methods and Applications, Vol. 17 (2024), Iss. 1 : pp. 93–120

Abstract

We apply the local method of fundamental solutions (LMFS) to boundary value problems (BVPs) for the Laplace and homogeneous biharmonic equations in annuli. By appropriately choosing the collocation points, the LMFS discretization yields sparse block circulant system matrices. As a result, matrix decomposition algorithms (MDAs) and fast Fourier transforms (FFTs) can be used for the solution of the systems resulting in considerable savings in both computational time and storage requirements. The accuracy of the method and its ability to solve large scale problems are demonstrated by applying it to several numerical experiments.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/nmtma.OA-2023-0045

Numerical Mathematics: Theory, Methods and Applications, Vol. 17 (2024), Iss. 1 : pp. 93–120

Published online:    2024-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    28

Keywords:    Local method of fundamental solutions Poisson equation biharmonic equation matrix decomposition algorithms fast Fourier transforms.

Author Details

C.S. Chen

Andreas Karageorghis

Min Lei