计算网格中几何坐标的网格压缩算法

Kazimierz Michalik, Łukasz Rauch
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引用次数: 0

摘要

如果不对计算网格的组织和功能模型进行理论阐述和实际实现,就不可能应用基于网格的先进方法,包括自适应有限元方法。最基本的网格功能之一是存储和提供顶点和其他网格实体的几何坐标。为完成这项任务,我们开发了基于坐标即时再现的新算法。已进行的测试证明,在选定的情况下,该算法比天真方法或其他类似算法快几个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mesh Compression Algorithm for Geometrical Coordinates in Computational Meshes
Application of advanced mesh based methods, including adaptive finite element method, is impossible without theoretical elaboration and practical realization of a model for organization and functionality of computational mesh. One of the most basic mesh functionality is storing and providing geometrical coordinates for vertices and other mesh entities. New algorithm for this task based on on-the-fly recreation of coordinates was developed. Conducted tests are proving that, for selected cases, it can be orders of magnitude faster than naive approach or other similar algorithms.
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