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Data Structures and Requirements for hp Finite Element Software

机译:hp Finite Element软件的数据结构和要求

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Finite element methods approximate solutions of partial differential equations by restricting the problem to a finite dimensional function space. In hp adaptive finite element methods, one defines these discrete spaces by choosing different polynomial degrees for the shape functions defined on a locally refined mesh.rnAlthough this basic idea is quite simple, its implementation in algorithms and data structures is challenging. It has apparently not been documented in the literature in its most general form. Rather, most existing implementations appear to be for special combinations of finite elements, or for discontinuous Galerkin methods.rnIn this article, we discuss generic data structures and algorithms used in the implementation of hp methods for arbitrary elements, and the complications and pitfalls one encounters. As a consequence, we list the information a description of a finite element has to provide to the generic algorithms for it to be used in an hp context. We support our claim that our reference implementation is efficient using numerical examples in two dimensions and three dimensions, and demonstrate that the ftp-specific parts of the program do not dominate the total computing time. This reference implementation is also made available as part of the Open Source deal.II finite element library.
机译:有限元方法通过将问题限制为有限维函数空间来近似偏微分方程的解。在hp自适应有限元方法中,人们通过为局部精炼网格上定义的形状函数选择不同的多项式来定义这些离散空间。尽管这种基本思想很简单,但是在算法和数据结构中的实现却具有挑战性。显然,它没有以最一般的形式记录在文献中。相反,大多数现有的实现似乎都是针对有限元的特殊组合,或者是针对不连续的Galerkin方法。在本文中,我们讨论了用于任意元素的hp方法的实现中使用的通用数据结构和算法,以及遇到的复杂性和陷阱。因此,我们列出了要在hp上下文中使用的有限元描述必须提供给通用算法的信息。我们支持我们的参考实现是有效的,它使用二维和三维方面的数值示例是有效的,并且证明了ftp特定于程序的部分并不能控制总的计算时间。此参考实现也作为“开源Deal.II”有限元库的一部分提供。

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