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arXiv 2508.02065math.NAcs.NA
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用于线弹性特征值问题的两网格弱Galerkin方法与增强型Crouzeix-Raviart元方法

The two-grid weak Galerkin method and enriched Crouzeix-Raviart element method for linear elastic eigenvalue problems

Wei Lu, Qilong Zhai

AI总结:

针对线弹性特征值问题,提出可加速弱Galerkin方法且保持其渐近下界特性、收敛阶翻倍的两网格技巧,同时给出能提供问题下界的增强型Crouzeix-Raviart格式。

摘要:

本文提出一种两网格技巧来加速弱Galerkin方法。通过合理选取参数,两网格弱Galerkin方法不仅能使收敛阶翻倍,还能保持弱Galerkin(WG)方法的渐近下界特性。此外,我们提出了一种增强型Crouzeix-Raviart(ECR)格式,该格式同样能为线弹性特征值问题提供下界。

英文摘要:

In this paper, we present a two-gird skill to accelerate the weak Galerkin method. By the proper use of parameters, the two-grid weak Galerkin method not only doubles the convergence rate, but also maintains the asymptotic lower bounds property of the weak Galerkin (WG) method. Moreover, we propose an enriched Crouzeix-Raviart (ECR) scheme, which can also provide lower bounds for the linear elastic eigenvalue problems.

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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