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Location of a point in a planar subdivision and its applications

机译:点在平面细分中的位置及其应用

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摘要

Given a subdivision of the plane induced by a planar graph with n vertices, in this paper we consider the problem of identifying which region of the subdivision contains a given test point. We present a search algorithm, called point-location algorithm, which operates on a suitably preprocessed data structure. The search runs in time at most 0((log n)2), while the preprocessing task runs in time at most 0(n log n) and requires 0(n) storage. The methods are quite general, since an arbitrary subdivision can be transformed in time at most 0(n log n) into one to which the preprocessing procedure is applicable. This solution of the point-location problem yields interesting and efficient solutions of other geometric problems, such as spatial convex inclusion and inclusion in an arbitrary polygon.

机译:

鉴于由n个顶点的平面图引起的平面细分,在本文中,我们考虑确定细分的哪个区域包含给定测试点的问题。我们提出了一种搜索算法,称为点定位算法,该算法在经过适当预处理的数据结构上运行。搜索的时间最多为0((log n) 2 ),而预处理任务的时间最多为0(n log n),需要存储0(n)。这些方法非常通用,因为任意细分最多可以及时转换为0(n log n)到可以应用预处理程序的细分。这种点定位问题的解决方案可以产生有趣而有效的其他几何问题的解决方案,例如空间凸包容和任意多边形中的包容。

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