On the complexity of computing the homology type of a triangulation

B. Donald, Davied Renpan Chang
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引用次数: 30

Abstract

An algorithm for computing the homology type of a triangulation is analyzed. By triangulation is meant a finite simplicial complex; its homology type is given by its homology groups (with integer coefficients). The algorithm could be used in computer-aided design to tell whether two finite-element meshes or Bezier-spline surfaces are of the same topological type, and whether they can be embedded in R/sup 3/. Homology computation is a pure combinatorial problem of considerable intrinsic interest. While the worst-case bounds obtained for this algorithm are poor, it is argued that many triangulations (in general) and virtually all triangulations in design are very sparse in a particular sense. This sparseness measure is formalized, and a probabilistic analysis of the sparse case is performed to show that the expected running time, of the algorithm is roughly quadratic in the geometric complexity (number of simplices) and linear in the dimension.<>
计算三角剖分的同调类型的复杂性
分析了一种计算三角剖分同调类型的算法。三角剖分是指有限简单复合体;它的同调类型由它的同调群(系数为整数)给出。该算法可用于计算机辅助设计,判断两个有限元网格或贝塞尔样条曲面是否具有相同的拓扑类型,以及它们是否可以嵌入R/sup /中。同调计算是一个具有相当内在意义的纯组合问题。虽然该算法得到的最坏情况边界很差,但有人认为,许多三角剖分(一般来说)和几乎所有设计中的三角剖分在特定意义上都是非常稀疏的。对稀疏度量进行了形式化,并对稀疏情况进行了概率分析,表明该算法的预期运行时间在几何复杂度(简单数)上大致是二次的,在维数上是线性的。
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