Bandwidth Parameterized by Cluster Vertex Deletion Number

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Tatsuya Gima, Eun Jung Kim, Noleen Köhler, Nikolaos Melissinos, Manolis Vasilakis
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引用次数: 0

Abstract

Given a graph G and an integer b, Bandwidth asks whether there exists a bijection \(\pi \) from V(G) to \(\{1, \ldots , |V(G)|\}\) such that \(\max _{\{u, v \} \in E(G)} | \pi (u) - \pi (v) | \le b\). This is a classical NP-complete problem, known to remain NP-complete even on very restricted classes of graphs, such as trees of maximum degree 3 and caterpillars of hair length 3. In the realm of parameterized complexity, these results imply that the problem remains NP-hard on graphs of bounded pathwidth, while it is additionally known to be W[1]-hard when parameterized by the tree-depth of the input graph. In contrast, the problem does become FPT when parameterized by the vertex cover number. In this paper we make progress in understanding the parameterized (in)tractability of Bandwidth. We first show that it is FPT when parameterized by the cluster vertex deletion number cvd plus the clique number \(\omega \), thus significantly strengthening the previously mentioned result for vertex cover number. On the other hand, we show that Bandwidth is W[1]-hard when parameterized only by cvd. Our results develop and generalize some of the methods of argumentation of the previous results and narrow some of the complexity gaps.

由簇顶点删除数参数化的带宽
给定一个图G和一个整数b, Bandwidth询问是否存在一个从V(G)到\(\{1, \ldots , |V(G)|\}\)的双射\(\pi \),使得\(\max _{\{u, v \} \in E(G)} | \pi (u) - \pi (v) | \le b\)。这是一个经典的np完全问题,即使在非常有限的图类上也能保持np完全,比如最大度为3的树和毛长为3的毛虫。在参数化复杂性领域,这些结果意味着问题在有界路径宽度的图上仍然是NP-hard,而当被输入图的树深度参数化时,它又被称为W[1]-hard。相反,当用顶点覆盖数参数化时,问题就变成了FPT。本文在理解带宽参数化可跟踪性方面取得了一些进展。我们首先证明了当用簇顶点删除数cvd加上团数\(\omega \)参数化时,它是FPT,从而大大加强了前面提到的顶点覆盖数的结果。另一方面,当仅用cvd参数化时,我们证明了带宽是W[1]-hard。我们的结果发展和推广了先前结果的一些论证方法,并缩小了一些复杂性差距。
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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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