We prove a basic error contraction result of an adaptive discontinuous Galerkin method for an elliptic interface problem. The interface conditions considered model mass transfer of solutes through semi-permeable membranes and other filtering processes. The adaptive algorithm is based on a residual-type a posteriori error estimator, with a bulk refinement criterion. The a posteriori error bound is derived under the assumption that the triangulation is aligned with the interfaces although, crucially, extremely general curved element shapes are also allowed, resolving the interface geometry exactly. As a corollary, convergence of the adaptive discontinuous Galerkin method for non-essential Neumann- and/or Robin-type boundary conditions, posed on general curved boundaries, also follows. Numerical experiments are also presented. (C) 2019 Elsevier B.V. All rights reserved.

Convergence of an adaptive discontinuous Galerkin method for elliptic interface problems / Cangiani, A; Georgoulis, Eh; Sabawi, Ya. - In: JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS. - ISSN 0377-0427. - 367:(2020), pp. 1-15. [10.1016/j.cam.2019.112397]

Convergence of an adaptive discontinuous Galerkin method for elliptic interface problems

Cangiani, A;
2020-01-01

Abstract

We prove a basic error contraction result of an adaptive discontinuous Galerkin method for an elliptic interface problem. The interface conditions considered model mass transfer of solutes through semi-permeable membranes and other filtering processes. The adaptive algorithm is based on a residual-type a posteriori error estimator, with a bulk refinement criterion. The a posteriori error bound is derived under the assumption that the triangulation is aligned with the interfaces although, crucially, extremely general curved element shapes are also allowed, resolving the interface geometry exactly. As a corollary, convergence of the adaptive discontinuous Galerkin method for non-essential Neumann- and/or Robin-type boundary conditions, posed on general curved boundaries, also follows. Numerical experiments are also presented. (C) 2019 Elsevier B.V. All rights reserved.
2020
367
1
15
112397
Cangiani, A; Georgoulis, Eh; Sabawi, Ya
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/135266
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