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An Optimal Algorithm for Computing Visible Nearest Foreign Neighbors Among Colored Line Segments

机译:计算有色线段中可见的最近外国邻居的最佳算法

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Given a set S of n colored line segments in IR~2 that may intersect only in endpoints. Let c(u) denote the color of a line segment u #epsilon# S chosen from X<=n different colors. A line segment v #epsilon# S is a visible nearest foreign neighbor of u #epsilon# S if v is a nearest foreign neighbor of u in S, i.e. c(u) not=c(v) and no segment with a color different from c(u) is closer to u than v, and if there exist points umin #epsilon# u and vmin v realizing the distance between u and v that are visible for each other, i.e. the open segment connecting umin and vmin is not intersected by an open line segment in S. We present the first optimal #THETA#(n log n) algorithm that computes for each line segment u #epsilon# S all its visible nearest foreign neighbors. The algorithm finds applications in polygon arrangement analysis, VLSI design rule checking and GIS.
机译:给定IR中的n个有色线段的集合S,IR〜2可能仅在端点处相交。令c(u)表示从X <= n种不同颜色中选择的线段u#epsilon#S的颜色。如果v是S中u的最接近的外国邻居,则线段v#epsilon#S是u#epsilon#S的可见的最近外国邻居,即c(u)not = c(v)且没有颜色不同的线段来自c(u)的距离比v更靠近u,并且如果存在umin#epsilon#,则u和vmin v实现了u和v之间的可见距离,即连接umin和vmin的开放段不相交我们提出了第一种最优的#THETA#(n log n)算法,该算法针对每个线段u计算其所有可见的最近异物。该算法可用于多边形排列分析,VLSI设计规则检查和GIS。

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