# Convergence rates with singular parameterizations for solving elliptic boundary value problems in isogeometric analysis

3 AROMATH - AlgebRe, geOmetrie, Modelisation et AlgoriTHmes
CRISAM - Inria Sophia Antipolis - Méditerranée , National and Kapodistrian University of Athens
5 CASTOR - Control, Analysis and Simulations for TOkamak Research
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In this paper, we present convergence rates for solving elliptic boundary value problems with singular parameterizations in isogeometric analysis. First, the approximation errors with the $L^2(\Omega)$-norm and the $H^1(\Omega)$-seminorm are estimated locally. The impact of singularities is considered in this framework. Second, the convergence rates for solving PDEs with singular parameterizations are discussed. These results are based on a weak solution space that contains all of the weak solutions of elliptic boundary value problems with smooth coefficients. For the smooth weak solutions obtained by isogeometric analysis with singular parameterizations and the finite element method, both are shown to have the optimal convergence rates. For non-smooth weak solutions, the optimal convergence rates are reached by setting proper singularities of a controllable parameterization, even though convergence rates are not optimal by finite element method, and the convergence rates by isogeometric analysis with singular parameterizations are better than the ones by the finite element method.
Type de document :
Article dans une revue
Computer Aided Geometric Design, Elsevier, 2017, 52–53, pp.170-189. 〈10.1016/j.cagd.2017.02.006〉

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https://hal.inria.fr/hal-01276699
Contributeur : Meng Wu <>
Soumis le : lundi 14 novembre 2016 - 16:28:35
Dernière modification le : jeudi 11 janvier 2018 - 16:57:39
Document(s) archivé(s) le : lundi 20 mars 2017 - 22:19:44

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Meng Wu, Yicao Wang, Bernard Mourrain, Boniface Nkonga, Changzheng Cheng. Convergence rates with singular parameterizations for solving elliptic boundary value problems in isogeometric analysis. Computer Aided Geometric Design, Elsevier, 2017, 52–53, pp.170-189. 〈10.1016/j.cagd.2017.02.006〉. 〈hal-01276699v2〉

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