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arXiv 1312.0484math.NAcs.NA
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自适应Crouzeix-Raviart边界元方法

Adaptive Crouzeix-Raviart Boundary Element Method

Pontificia Universidad Católica de Chile(智利天主教Pontificia大学)

Norbert Heuer, Michael Karkulik

AI总结:

本文提出基于h-h/2方法的自适应误差估计器,分析了Crouzeix-Raviart边界元在均匀细化下的最优收敛率,并通过数值实验验证了非均匀细化在奇异数据下的有效性。

摘要:

对于Heuer和Sayas提出的非符合Crouzeix-Raviart边界元,本文开发并分析了基于h-h/2方法的后验误差估计器。讨论了均匀网格细化下的最优收敛率,并在奇异数据的数值实验中展示了自适应算法在均匀细化下的最优性能。此外,还讨论了由标准几何奇异性引起的低正则性情况,推测在这种情况下,非均匀细化网格并不优于拟均匀网格。

英文摘要:

For the non-conforming Crouzeix-Raviart boundary elements from [Heuer, Sayas: Crouzeix-Raviart boundary elements, Numer. Math. 112, 2009], we develop and analyze a posteriori error estimators based on the $h-h/2$ methodology. We discuss the optimal rate of convergence for uniform mesh refinement, and present a numerical experiment with singular data where our adaptive algorithm recovers the optimal rate while uniform mesh refinement is sub-optimal. We also discuss the case of reduced regularity by standard geometric singularities to conjecture that, in this situation, non-uniformly refined meshes are not superior to quasi-uniform meshes for Crouzeix-Raviart boundary elements.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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