Superconvergence of partially penalized immersed finite element methods

Superconvergence of partially penalized immersed finite element methods
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部分惩罚浸入式有限元方法的超收敛

DOI:
10.1093/imanum/drx053
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发表时间:
2018-10
影响因子:
2.1
通讯作者:
Zhimin Zhang
Zhimin Zhang
中科院分区:
数学2区
文献类型:
--
作者:
Hailong Guo;Xu Yang;Zhimin Zhang

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The contribution of this article contains two parts: first, we prove a supercloseness result for the partially penalized immersed finite element (PPIFE) methods in (Lin, T., Lin, Y. & Zhang, X. (2015), Partially penalized immersed finite element methods for elliptic interface problems. SIAM J. Numer. Anal., 53, 1121– 1144) and then based on the supercloseness result, we show that the gradient recovery method proposed in our previous work (Guo, H. & Yang, X. (2017) Gradient recovery for elliptic interface problem: II. Immersed finite element methods. J. Comput. Phys., 338, 606–619) can be applied to the PPIFE methods and the recovered gradient converges to the exact gradient with a superconvergent rate O(h1.5). Hence, the gradient recovery method provides an asymptotically exact a posteriori error estimator for the PPIFE methods. Several numerical examples are presented to verify our theoretical results.
有限元方法的 Hessian 恢复
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影响因子: 2
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