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Convergence of adaptive BEM for some mixed boundary value problem

For a boundary integral formulation of the 2D Laplace equation with mixed boundary conditions, we consider an adaptive Galerkin BEM based on an [Formula: see text]-type error estimator. We include the resolution of the Dirichlet, Neumann, and volume data into the adaptive algorithm. In particular, a...

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Detalles Bibliográficos
Autores principales: Aurada, M., Ferraz-Leite, S., Goldenits, P., Karkulik, M., Mayr, M., Praetorius, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: North-Holland 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3587371/
https://www.ncbi.nlm.nih.gov/pubmed/23482570
http://dx.doi.org/10.1016/j.apnum.2011.03.008
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author Aurada, M.
Ferraz-Leite, S.
Goldenits, P.
Karkulik, M.
Mayr, M.
Praetorius, D.
author_facet Aurada, M.
Ferraz-Leite, S.
Goldenits, P.
Karkulik, M.
Mayr, M.
Praetorius, D.
author_sort Aurada, M.
collection PubMed
description For a boundary integral formulation of the 2D Laplace equation with mixed boundary conditions, we consider an adaptive Galerkin BEM based on an [Formula: see text]-type error estimator. We include the resolution of the Dirichlet, Neumann, and volume data into the adaptive algorithm. In particular, an implementation of the developed algorithm has only to deal with discrete integral operators. We prove that the proposed adaptive scheme leads to a sequence of discrete solutions, for which the corresponding error estimators tend to zero. Under a saturation assumption for the non-perturbed problem which is observed empirically, the sequence of discrete solutions thus converges to the exact solution in the energy norm.
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spelling pubmed-35873712013-03-06 Convergence of adaptive BEM for some mixed boundary value problem Aurada, M. Ferraz-Leite, S. Goldenits, P. Karkulik, M. Mayr, M. Praetorius, D. Appl Numer Math Article For a boundary integral formulation of the 2D Laplace equation with mixed boundary conditions, we consider an adaptive Galerkin BEM based on an [Formula: see text]-type error estimator. We include the resolution of the Dirichlet, Neumann, and volume data into the adaptive algorithm. In particular, an implementation of the developed algorithm has only to deal with discrete integral operators. We prove that the proposed adaptive scheme leads to a sequence of discrete solutions, for which the corresponding error estimators tend to zero. Under a saturation assumption for the non-perturbed problem which is observed empirically, the sequence of discrete solutions thus converges to the exact solution in the energy norm. North-Holland 2012-04 /pmc/articles/PMC3587371/ /pubmed/23482570 http://dx.doi.org/10.1016/j.apnum.2011.03.008 Text en © 2012 Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/3.0/ Open Access under CC BY-NC-ND 3.0 (https://creativecommons.org/licenses/by-nc-nd/3.0/) license
spellingShingle Article
Aurada, M.
Ferraz-Leite, S.
Goldenits, P.
Karkulik, M.
Mayr, M.
Praetorius, D.
Convergence of adaptive BEM for some mixed boundary value problem
title Convergence of adaptive BEM for some mixed boundary value problem
title_full Convergence of adaptive BEM for some mixed boundary value problem
title_fullStr Convergence of adaptive BEM for some mixed boundary value problem
title_full_unstemmed Convergence of adaptive BEM for some mixed boundary value problem
title_short Convergence of adaptive BEM for some mixed boundary value problem
title_sort convergence of adaptive bem for some mixed boundary value problem
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3587371/
https://www.ncbi.nlm.nih.gov/pubmed/23482570
http://dx.doi.org/10.1016/j.apnum.2011.03.008
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