Conflict-Free Coloring: Graphs of Bounded Clique-Width and Intersection Graphs

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Sriram Bhyravarapu, Tim A. Hartmann, Hung P. Hoang, Subrahmanyam Kalyanasundaram, I. Vinod Reddy
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引用次数: 0

Abstract

A conflict-free coloring of a graph G is a (partial) coloring of its vertices such that every vertex u has a neighbor whose assigned color is unique in the neighborhood of u. There are two variants of this coloring, one defined using the open neighborhood and one using the closed neighborhood. For both variants, we study the problem of deciding whether the conflict-free coloring of a given graph G is at most a given number k.

In this work, we investigate the relation of clique-width and minimum number of colors needed (for both variants) and show that these parameters do not bound one another. Moreover, we consider specific graph classes, particularly graphs of bounded clique-width and types of intersection graphs, such as distance hereditary graphs, interval graphs and unit square and disk graphs. We also consider Kneser graphs and split graphs. We give (often tight) upper and lower bounds and determine the complexity of the decision problem on these graph classes, which improve some of the results from the literature. Particularly, we settle the number of colors needed for an interval graph to be conflict-free colored under the open neighborhood model, which was posed as an open problem.

Abstract Image

无冲突着色:有界剪辑宽度图和交集图
摘要 图 G 的无冲突着色是其顶点的(部分)着色,即每个顶点 u 都有一个邻居,其分配的颜色在 u 的邻域中是唯一的。对于这两种变体,我们研究的问题都是确定给定图 G 的无冲突着色是否最多为给定数 k。在这项工作中,我们研究了(对于这两种变体)簇宽和所需颜色的最小数量之间的关系,并证明这些参数并不相互约束。此外,我们还考虑了特定的图类,特别是有界剪辑宽度的图和交集图类型,如距离遗传图、区间图、单位方形和圆盘图。我们还考虑了 Kneser 图和分裂图。我们给出了(通常很紧)上下限,并确定了这些图类的决策问题的复杂性,从而改进了文献中的一些结果。特别是,我们解决了开放邻域模型下区间图无冲突着色所需的颜色数,这曾是一个开放问题。
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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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