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A New Balanced Subdivision of a Simple Polygon for Time-Space Trade-Off Algorithms

机译:用于时空折衷算法的简单多边形的新平衡细分

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Given a read-only memory for input and a write-only stream for output, an s-workspace algorithm, for a positive integer parameter s, is an algorithm using only O(s) words of workspace in addition to the memory for the input. In this paper, we present an O(n2/s)-time s-workspace algorithm for subdividing a simple n-gon into O(min{n/s,s}) subpolygons of complexity O(max{n/s,s}). As applications of the subdivision, the previously best known time-space trade-offs for the following three geometric problems are improved immediately by adopting the proposed subdivision: (1) computing the shortest path between two points inside a simple n-gon, (2) computing the shortest-path tree from a point inside a simple n-gon, (3) computing a triangulation of a simple n-gon. In addition, we improve the algorithm for problem (2) further by applying different approaches depending on the size of the workspace.
机译:给定用于输入的只读存储器和用于输出的只写流,S-Workspace算法对于正整数参数S,是一种仅使用工作空间的O(s)单词的算法,除了输入的存储器。在本文中,我们介绍了一个(n2 / s)-time s-workspace算法,用于将简单的n-gon细分为o(min {n / s,s})复杂度o(max {n / s,s })。作为细分的应用,通过采用所提出的细分,立即提高了以下三个几何问题的先前最佳已知的时空折衷:(1)计算简单N-GON内的两个点之间的最短路径(2 )从简单的n-gon内的点计算最短路径树,(3)计算简单的n-gon的三角测量。此外,我们通过根据工作空间的大小应用不同的方法来提高问题算法(2)。

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