The Farthest Color Voronoi Diagram in the Plane

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Ioannis Mantas, Evanthia Papadopoulou, Rodrigo I. Silveira, Zeyu Wang
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引用次数: 0

Abstract

The farthest-color Voronoi diagram (FCVD) is defined on a set of n points in the plane, where each point is labeled with one of m colors. The colored points constitute a family \(\mathcal {P}\) of m clusters (sets) of points in the plane whose farthest-site Voronoi diagram is the FCVD. The diagram finds applications in problems related to facility location, shape matching, data imprecision, and others. In this paper we present structural properties of the FCVD, refine its combinatorial complexity bounds, and present efficient algorithms for its construction. We show that the complexity of the diagram is \(O(n\alpha (m)+\textit{str}(\mathcal {P}))\), where \(\textit{str}(\mathcal {P})\) is a parameter reflecting the number of straddles between pairs of clusters, which is \(O(m(n-m))\). The bound reduces to \(O(n+ \textit{str}(\mathcal {P}))\) if the clusters are pairwise non-crossing. We also present a lower bound, establishing that the complexity of the FCVD can be \(\Omega (n+m^2)\), even if the clusters have pairwise disjoint convex hulls. Our algorithm runs in \(O((n+\textit{str}(\mathcal {P}))\log ^3 n)\)-time, and in certain special cases in \(O(n\log n)\) time.

平面上最远的彩色Voronoi图
最远颜色的Voronoi图(FCVD)在平面上的n个点的集合上定义,其中每个点用m种颜色中的一种标记。彩色点构成了平面上m个点簇(集合)的一个族\(\mathcal {P}\),其最远的位置Voronoi图是FCVD。该图在与设施位置、形状匹配、数据不精确以及其他问题相关的问题中找到了应用。本文给出了FCVD的结构性质,改进了它的组合复杂度界,并给出了构造它的有效算法。我们表明,图的复杂性为\(O(n\alpha (m)+\textit{str}(\mathcal {P}))\),其中\(\textit{str}(\mathcal {P})\)是反映集群对之间跨接次数的参数,即\(O(m(n-m))\)。如果集群是成对不交叉的,则边界减少为\(O(n+ \textit{str}(\mathcal {P}))\)。我们也提出了一个下界,建立了FCVD的复杂度可以为\(\Omega (n+m^2)\),即使簇具有成对不相交的凸包。我们的算法运行时间为\(O((n+\textit{str}(\mathcal {P}))\log ^3 n)\),在某些特殊情况下运行时间为\(O(n\log n)\)。
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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来源期刊
Algorithmica
Algorithmica 工程技术-计算机:软件工程
CiteScore
2.80
自引率
9.10%
发文量
158
审稿时长
12 months
期刊介绍: Algorithmica is an international journal which publishes theoretical papers on algorithms that address problems arising in practical areas, and experimental papers of general appeal for practical importance or techniques. The development of algorithms is an integral part of computer science. The increasing complexity and scope of computer applications makes the design of efficient algorithms essential. Algorithmica covers algorithms in applied areas such as: VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools, as well as algorithms in fundamental areas such as sorting, searching, data structures, computational geometry, and linear programming. In addition, the journal features two special sections: Application Experience, presenting findings obtained from applications of theoretical results to practical situations, and Problems, offering short papers presenting problems on selected topics of computer science.
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