4.6 Article

Systematic implementation of higher order Whitney forms in methods based on discrete exterior calculus

期刊

NUMERICAL ALGORITHMS
卷 91, 期 3, 页码 1261-1285

出版社

SPRINGER
DOI: 10.1007/s11075-022-01301-2

关键词

Higher order Whitney forms; Cochains; Differential forms; Interpolation; Discrete exterior calculus; Simplicial mesh

资金

  1. University of Jyvaskyla (JYU)
  2. University of Jyvaskyla

向作者/读者索取更多资源

The paper introduces a systematic approach based on discrete exterior calculus for implementing higher order Whitney forms in numerical methods. Algorithms are provided for refining the mesh, solving the coefficients of the interpolant, and evaluating the interpolant. The algorithms demonstrate generality and potential applicability in various methods and scenarios.
We present a systematic way to implement higher order Whitney forms in numerical methods based on discrete exterior calculus. Given a simplicial mesh, we first refine the mesh into smaller simplices which can be used to define higher order Whitney forms. Cochains on this refined mesh can then be interpolated using higher order Whitney forms. Hence, when the refined mesh is used with methods based on discrete exterior calculus, the solution can be expressed as a higher order Whitney form. We present algorithms for the three required steps: refining the mesh, solving the coefficients of the interpolant, and evaluating the interpolant at a given point. With our algorithms, the order of the Whitney forms one wishes to use can be given as a parameter so that the same code covers all orders, which is a significant improvement on previous implementations. Our algorithms are applicable with all methods in which the degrees of freedom are integrals over mesh simplices - that is, when the solution is a cochain on a simplicial mesh. They can also be used when one simply wishes to approximate differential forms in finite-dimensional spaces. Numerical examples validate the generality of our algorithms.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据