arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1603.05855math.NAcs.NA
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后验误差估计用于虚拟元方法

A posteriori error estimates for the virtual element method

Andrea Cangiani, Emmanuil H. Georgoulis, Tristan Pryer, Oliver J. Sutton

AI总结:

本文提出了一种后验误差估计方法,用于虚拟元方法解决一般椭圆问题,通过残差型估计器驱动自适应网格细化,具有简单的实现方式。

摘要:

本文针对虚拟元方法(VEM)在一般椭圆问题中的后验误差分析进行了研究。所得到的误差估计器为残差型,适用于非常一般的多边形/多面体网格。该估计器完全可计算,仅依赖于VEM解中可获得的量,即其自由度和元素上的多项式投影。证明了误差估计器相对于VEM近似误差的上界和下界。该误差估计器用于驱动多个测试问题的自适应网格细化。网格自适应特别容易实现,因为允许连续共面边/面的元素,因此局部自适应网格不需要任何局部网格后处理。

英文摘要:

An posteriori error analysis for the virtual element method (VEM) applied to general elliptic problems is presented. The resulting error estimator is of residual-type and applies on very general polygonal/polyhedral meshes. The estimator is fully computable as it relies only on quantities available from the VEM solution, namely its degrees of freedom and element-wise polynomial projection. Upper and lower bounds of the error estimator with respect to the VEM approximation error are proven. The error estimator is used to drive adaptive mesh refinement in a number of test problems. Mesh adaptation is particularly simple to implement since elements with consecutive co-planar edges/faces are allowed and, therefore, locally adapted meshes do not require any local mesh post-processing.

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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