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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.


Adaptive finite element methods for the Stokes problem with discontinuous viscosity
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by Andrea Bonito and Denis Devaud PDF
Math. Comp. 84 (2015), 2137-2162 Request permission


Discontinuity in viscosities is of interest in many applications. Classical adaptive numerical methods perform under the restricting assumption that the discontinuities of the viscosity are captured by the initial partition. This excludes applications where the jump of the viscosity takes place across curves, manifolds or at a priori unknown positions. We present a novel estimate measuring the distortion of the viscosity in $L^{q}$ for a $q<\infty$, thereby allowing for any type of discontinuities. This estimate requires the velocity $\mathbf {u}$ of the Stokes system to satisfy the extra regularity assumption $\nabla \mathbf {u} \in L^{r}(\Omega )^{d\times d}$ for some $r>2$. We show that the latter holds on any bounded Lipschitz domain provided the data belongs to a smaller class than those required to obtain well-posedness. Based on this theory, we introduce adaptive finite element methods which approximate the solution of Stokes equations with possible discontinuous viscosities. We prove that these algorithms are quasi-optimal in terms of error compared to the number of cells. Finally, the performance of the adaptive algorithm is numerically illustrated on insightful examples.
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Additional Information
  • Andrea Bonito
  • Affiliation: Department of Mathematics, Texas A&M University, TAMU 3368, College Station, Texas 77843
  • MR Author ID: 783728
  • Email:
  • Denis Devaud
  • Affiliation: EPFL SMA, CH-1015, Lausanne, Switzerland
  • MR Author ID: 1042036
  • Email:
  • Received by editor(s): June 23, 2013
  • Received by editor(s) in revised form: December 1, 2013, and January 10, 2014
  • Published electronically: March 10, 2015
  • Additional Notes: The first author was partially supported by NSF grant DMS-1254618 and ONR grant N000141110712
  • © Copyright 2015 American Mathematical Society
  • Journal: Math. Comp. 84 (2015), 2137-2162
  • MSC (2010): Primary 41A35, 65N15, 65N30; Secondary 65Y20, 65N50
  • DOI:
  • MathSciNet review: 3356022