A penteract partition by means of the optimal subdivision of cells

M. Petrov, T. Todorov
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引用次数: 1

Abstract

Freudental's algorithm obtained way back in early forties have been traditionally used for simplicial triangulating of the hypercube. The main advantage of this algorithm is that it only generates one congruence class. Unfortunately, Freudental's algorithm is not optimal with respect to the measure of degeneracy. The multigrid methods require the degeneracy measure to be as small as possible. The minimal subdivision in the 3-dimensional case and the uniform tesseract corner subdivision in the 4-dimensional case are optimal in regards the measure of degeneracy and multigrid applications. The question about the optimal refinement strategy in more dimensional cases is still an open problem. This paper deals with a penteract subdivision with degeneracy measure much better than one obtained by the Freudental algorithm.
通过对细胞进行最优细分的一种渗透分割
Freudental的算法早在四十年代早期就得到了,传统上用于超立方体的简单三角剖分。该算法的主要优点是只生成一个同余类。不幸的是,Freudental的算法在简并度量方面不是最优的。多网格方法要求简并测度尽可能小。在退化度量和多网格应用方面,三维情况下的最小细分和四维情况下的均匀立方体角细分是最优的。多维情况下的最优细化策略问题仍然是一个开放的问题。本文讨论了一种退化测度远优于Freudental算法的渗透细分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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