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Adaptive discontinuous Galerkin methods on surfaces

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Dedner, Andreas and Madhavan, Pravin (2016) Adaptive discontinuous Galerkin methods on surfaces. Numerische Mathematik, 132 (2). pp. 369-398. doi:10.1007/s00211-015-0719-4 ISSN 0029-599X.

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Official URL: http://dx.doi.org/10.1007/s00211-015-0719-4

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Abstract

We present a dual weighted residual-based a posteriori error estimate for a discontinuous Galerkin approximation of a surface partial differential equation. We restrict our analysis to a linear second-order elliptic problem posed on hypersurfaces in R3 which are implicitly represented as level sets of smooth functions. We show that the error in the energy norm may be split into a “residual part” and a higher order “geometric part”. Upper and lower bounds for the resulting a posteriori error estimator are proven and we consider a number of challenging test problems to demonstrate the reliability and efficiency of the estimator. We also present a novel “geometric” driven refinement strategy for PDEs on surfaces which considerably improves the performance of the method on complex surfaces.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Science > Mathematics
Journal or Publication Title: Numerische Mathematik
Publisher: Springer
ISSN: 0029-599X
Official Date: February 2016
Dates:
DateEvent
February 2016Published
2015Available
Volume: 132
Number: 2
Page Range: pp. 369-398
DOI: 10.1007/s00211-015-0719-4
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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