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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 2020 MCQ for Mathematics of Computation is 1.78.

What is MCQ? The Mathematical Citation Quotient (MCQ) measures journal impact by looking at citations over a five-year period. Subscribers to MathSciNet may click through for more detailed information.

 

Mixed methods and lower eigenvalue bounds
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by Dietmar Gallistl HTML | PDF
Math. Comp. 92 (2023), 1491-1509

Abstract:

It is shown how mixed finite element methods for symmetric positive definite eigenvalue problems related to partial differential operators can provide guaranteed lower eigenvalue bounds. The method is based on a classical compatibility condition (inclusion of kernels) of the mixed scheme and on local constants related to compact embeddings, which are often known explicitly. Applications include scalar second-order elliptic operators, linear elasticity, and the Steklov eigenvalue problem.
References
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Additional Information
  • Dietmar Gallistl
  • Affiliation: Universität Jena, Institut für Mathematik, 07743 Jena, Germany
  • MR Author ID: 1020312
  • Email: dietmar.gallistl@uni-jena.de
  • Received by editor(s): April 2, 2022
  • Received by editor(s) in revised form: October 19, 2022, and December 6, 2022
  • Published electronically: February 3, 2023
  • Additional Notes: The author was supported by the ERC through the Starting Grant DAFNE, agreement ID 891734.
  • © Copyright 2023 by Dietmar Gallistl.
  • Journal: Math. Comp. 92 (2023), 1491-1509
  • MSC (2020): Primary 65N25
  • DOI: https://doi.org/10.1090/mcom/3820
  • MathSciNet review: 4570331