Computing shortest paths amid non-overlapping weighted disks

Prosenjit Bose, Jean-Lou De Carufel, Guillermo Esteban, Anil Maheshwari
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Abstract

In this article, we present an approximation algorithm for solving the Weighted Region Problem amidst a set of $ n $ non-overlapping weighted disks in the plane. For a given parameter $ \varepsilon \in (0,1]$, the length of the approximate path is at most $ (1 +\varepsilon) $ times larger than the length of the actual shortest path. The algorithm is based on the discretization of the space by placing points on the boundary of the disks. Using such a discretization we can use Dijkstra's algorithm for computing a shortest path in the geometric graph obtained in (pseudo-)polynomial time.
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计算非重叠加权磁盘中的最短路径
在本文中,我们提出了一种近似算法,用于解决平面内一组 $ n $ 非重叠加权盘中的加权区域问题。对于 (0,1]$ 中的给定参数 $ \varepsilon \,近似路径的长度最多比实际最短路径的长度大 $ (1 +\varepsilon) $ 倍。该算法的基础是通过在圆盘边界上放置点来离散空间。利用这种离散化,我们可以使用迪克斯特拉算法计算几何图形中的最短路径,并在(伪)多项式时间内获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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