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Embedding and a priori wavelet-adaptivity forDirichlet problems

Published online by Cambridge University Press:  15 April 2002

Andreas Rieder*
Affiliation:
Institut für Wissenschaftliches Rechnen und Mathematische Modellbildung (IWRMM), Universität Karlsruhe, 76128 Karlsruhe, Germany. email: andreas.rieder@math.uni-karlsruhe.de
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Abstract

The accuracy of the domain embedding method from [A. Rieder, Modél. Math. Anal. Numér.32 (1998) 405-431] for the solution of Dirichlet problems suffers under a coarse boundary approximation. To overcome this drawback the method is furnished with an a priori (static) strategy for an adaptive approximation space refinement near the boundary. This is done by selecting suitable wavelet subspaces. Error estimates and numerical experiments validate the proposed adaptive scheme. In contrast to similar, but rather theoretical, concepts already described in the literature our approach combines a high generality with an easy-to-implement algorithm.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2000

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