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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.

 

Quasi-optimal adaptive mixed finite element methods for controlling natural norm errors
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by Yuwen Li HTML | PDF
Math. Comp. 90 (2021), 565-593 Request permission

Abstract:

For a generalized Hodge Laplace equation, we prove the quasi-optimal convergence rate of an adaptive mixed finite element method. This adaptive method can control the error in the natural mixed variational norm when the space of harmonic forms is trivial. In particular, we obtain new quasi-optimal adaptive mixed methods for the Hodge Laplace, Poisson, and Stokes equations. Comparing to existing adaptive mixed methods, the new methods control errors in both variables.
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Additional Information
  • Yuwen Li
  • Affiliation: Department of Mathematics, University of California San Diego, La Jolla, California 92093-0112
  • Address at time of publication: Department of Mathematics, The Pennsylvania State University, University Park, Pennsylvania 16802
  • MR Author ID: 1129421
  • ORCID: 0000-0002-4071-8653
  • Email: yuwenli925@gmail.com
  • Received by editor(s): July 8, 2019
  • Received by editor(s) in revised form: March 2, 2020, and July 24, 2020
  • Published electronically: November 23, 2020
  • © Copyright 2020 American Mathematical Society
  • Journal: Math. Comp. 90 (2021), 565-593
  • MSC (2020): Primary 65N12, 65N15, 65N30, 65N50, 41A25
  • DOI: https://doi.org/10.1090/mcom/3590
  • MathSciNet review: 4194154