{"title":"Bandwidth Parameterized by Cluster Vertex Deletion Number","authors":"Tatsuya Gima, Eun Jung Kim, Noleen Köhler, Nikolaos Melissinos, Manolis Vasilakis","doi":"10.1007/s00453-025-01315-x","DOIUrl":null,"url":null,"abstract":"<div><p>Given a graph <i>G</i> and an integer <i>b</i>, <span>Bandwidth</span> asks whether there exists a bijection <span>\\(\\pi \\)</span> from <i>V</i>(<i>G</i>) to <span>\\(\\{1, \\ldots , |V(G)|\\}\\)</span> such that <span>\\(\\max _{\\{u, v \\} \\in E(G)} | \\pi (u) - \\pi (v) | \\le b\\)</span>. 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 <span>Bandwidth</span>. We first show that it is FPT when parameterized by the cluster vertex deletion number cvd plus the clique number <span>\\(\\omega \\)</span>, thus significantly strengthening the previously mentioned result for vertex cover number. On the other hand, we show that <span>Bandwidth</span> 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.</p></div>","PeriodicalId":50824,"journal":{"name":"Algorithmica","volume":"87 8","pages":"1146 - 1177"},"PeriodicalIF":0.7000,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00453-025-01315-x.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Algorithmica","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s00453-025-01315-x","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
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.
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.