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A data structure for non-manifold simplicial d-complexes

机译:非歧管单纯性D-复合物的数据结构

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We propose a data structure for d-dimensional simplicial complexes, that we call the Simplified Incidence Graph (SIG). The simplified incidence graph encodes all simplices of a simplicial complex together with a set of boundary and partial co-boundary topological relations. It is a dimension-independent data structure in the sense that it can represent objects of arbitrary dimensions. It scales well to the manifold case, i.e. it exhibits a small overhead when applied to simplicial complexes with a manifold domain, Here, we present efficient navigation algorithms for retrieving all topological relations from a SIG, and an algorithm for generating a SIG from a representation of the complex as an incidence graph. Finally, we compare the simplified incidence graph with the incidence graph, with a widely-used data structure for d-dimensional pseudo-manifold simplicial complexes, and with two data structures specific for two-and three-dimensional simplicial complexes.
机译:我们提出了一种用于D维层间复合物的数据结构,我们称之为简化入射图(SIG)。简化的入射图与一组边界和部分共边界拓扑关系一起编码了一组简单的简单形式。它是一个尺寸无关的数据结构,即它可以代表任意尺寸的对象。它对歧管外壳进行缩放,即当应用于具有歧管域的单纯堆叠时,它表现出小的开销,这里,我们提出了用于从SIG检索所有拓扑关系的有效导航算法,以及用于从表示生成SIG的算法复合物作为发病图。最后,我们将简化的入射曲线图与入射曲线图进行比较,具有用于D尺寸伪歧管的简档复合物的广泛使用的数据结构,以及针对二维单纯复合物的两个数据结构。

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