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Optimal convergence for adaptive IGA boundary element methods for weakly-singular integral equations
In a recent work (Feischl et al. in Eng Anal Bound Elem 62:141–153, 2016), we analyzed a weighted-residual error estimator for isogeometric boundary element methods in 2D and proposed an adaptive algorithm which steers the local mesh-refinement of the underlying partition as well as the multiplicity...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445587/ https://www.ncbi.nlm.nih.gov/pubmed/28615749 http://dx.doi.org/10.1007/s00211-016-0836-8 |
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author | Feischl, Michael Gantner, Gregor Haberl, Alexander Praetorius, Dirk |
author_facet | Feischl, Michael Gantner, Gregor Haberl, Alexander Praetorius, Dirk |
author_sort | Feischl, Michael |
collection | PubMed |
description | In a recent work (Feischl et al. in Eng Anal Bound Elem 62:141–153, 2016), we analyzed a weighted-residual error estimator for isogeometric boundary element methods in 2D and proposed an adaptive algorithm which steers the local mesh-refinement of the underlying partition as well as the multiplicity of the knots. In the present work, we give a mathematical proof that this algorithm leads to convergence even with optimal algebraic rates. Technical contributions include a novel mesh-size function which also monitors the knot multiplicity as well as inverse estimates for NURBS in fractional-order Sobolev norms. |
format | Online Article Text |
id | pubmed-5445587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-54455872017-06-12 Optimal convergence for adaptive IGA boundary element methods for weakly-singular integral equations Feischl, Michael Gantner, Gregor Haberl, Alexander Praetorius, Dirk Numer Math (Heidelb) Article In a recent work (Feischl et al. in Eng Anal Bound Elem 62:141–153, 2016), we analyzed a weighted-residual error estimator for isogeometric boundary element methods in 2D and proposed an adaptive algorithm which steers the local mesh-refinement of the underlying partition as well as the multiplicity of the knots. In the present work, we give a mathematical proof that this algorithm leads to convergence even with optimal algebraic rates. Technical contributions include a novel mesh-size function which also monitors the knot multiplicity as well as inverse estimates for NURBS in fractional-order Sobolev norms. Springer Berlin Heidelberg 2016-08-11 2017 /pmc/articles/PMC5445587/ /pubmed/28615749 http://dx.doi.org/10.1007/s00211-016-0836-8 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Feischl, Michael Gantner, Gregor Haberl, Alexander Praetorius, Dirk Optimal convergence for adaptive IGA boundary element methods for weakly-singular integral equations |
title | Optimal convergence for adaptive IGA boundary element methods for weakly-singular integral equations |
title_full | Optimal convergence for adaptive IGA boundary element methods for weakly-singular integral equations |
title_fullStr | Optimal convergence for adaptive IGA boundary element methods for weakly-singular integral equations |
title_full_unstemmed | Optimal convergence for adaptive IGA boundary element methods for weakly-singular integral equations |
title_short | Optimal convergence for adaptive IGA boundary element methods for weakly-singular integral equations |
title_sort | optimal convergence for adaptive iga boundary element methods for weakly-singular integral equations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445587/ https://www.ncbi.nlm.nih.gov/pubmed/28615749 http://dx.doi.org/10.1007/s00211-016-0836-8 |
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