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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2024 MCQ for Mathematics of Computation is 1.78.

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Error estimates for discrete generalized FEMs with locally optimal spectral approximations
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by Chupeng Ma and Robert Scheichl;
Math. Comp. 91 (2022), 2539-2569
DOI: https://doi.org/10.1090/mcom/3755
Published electronically: July 12, 2022

Abstract:

This paper is concerned with error estimates of the fully discrete generalized finite element method (GFEM) with optimal local approximation spaces for solving elliptic problems with heterogeneous coefficients. The local approximation spaces are constructed using eigenvectors of local eigenvalue problems solved by the finite element method on some sufficiently fine mesh with mesh size $h$. The error bound of the discrete GFEM approximation is proved to converge as $h\rightarrow 0$ towards that of the continuous GFEM approximation, which was shown to decay nearly exponentially in previous works. Moreover, even for fixed mesh size $h$, a nearly exponential rate of convergence of the local approximation errors with respect to the dimension of the local spaces is established. An efficient and accurate method for solving the discrete eigenvalue problems is proposed by incorporating the discrete $A$-harmonic constraint directly into the eigensolver. Numerical experiments are carried out to confirm the theoretical results and to demonstrate the effectiveness of the method.
References
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Bibliographic Information
  • Chupeng Ma
  • Affiliation: Institute of Scientific Research, Great Bay University, Songshan Lake International Innovation Entrepreneurship Community A5, Dongguan 523000, China
  • MR Author ID: 1251608
  • Email: chupeng.ma@gbu.edu.cn
  • Robert Scheichl
  • Affiliation: Institute for Applied Mathematics and Interdisciplinary Center for Scientific Computing, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg 69120, Germany
  • MR Author ID: 661163
  • ORCID: 0000-0001-8493-4393
  • Email: r.scheichl@uni-heidelberg.de
  • Received by editor(s): September 23, 2021
  • Received by editor(s) in revised form: March 21, 2022, and April 28, 2022
  • Published electronically: July 12, 2022
  • © Copyright 2022 American Mathematical Society
  • Journal: Math. Comp. 91 (2022), 2539-2569
  • MSC (2020): Primary 65M60; Secondary 65N15
  • DOI: https://doi.org/10.1090/mcom/3755
  • MathSciNet review: 4473096