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Hash Function Use for Triangular Mesh Reconstruction

机译:哈希函数用于三角网格重构

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摘要

An algorithm complexity is a very crucial issue in the algorithm design, especially if large data sets are to be processed. Data search is very often used in many algorithms and hash function use gives us a possibility to speed up the process significantly. Nevertheless, it is very difficult do design a good hash function especially for geometric applications. This paper describes a new hash function, its behaviour and use for non-trivial problems. Some problems can be solved effectively using the principle of duality and the hash data structure. Also some problems that cannot be solved in Euclidean space can be solved if dual representation is used and some examples are presented, too.
机译:算法复杂性是算法设计中非常关键的问题,特别是如果要处理大数据集时。数据搜索经常在许多算法中使用,使用散列函数使我们有可能显着加快该过程。但是,很难设计出良好的哈希函数,尤其是对于几何应用程序。本文介绍了一个新的哈希函数,其行为以及对非平凡问题的使用。使用对偶原理和哈希数据结构可以有效地解决一些问题。如果使用双重表示并给出一些示例,则还可以解决在欧几里得空间中无法解决的一些问题。

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