Po Yuan Wang, Naoki Kitamura, Taisuke Izumi, Toshimitsu Masuzawa
{"title":"Approximation hardness of domination problems on generalized convex graphs","authors":"Po Yuan Wang, Naoki Kitamura, Taisuke Izumi, Toshimitsu Masuzawa","doi":"10.1016/j.tcs.2024.115035","DOIUrl":null,"url":null,"abstract":"<div><div>The domination problem and its variants in bipartite graphs are computationally challenging, known to be <span><math><mi>NP</mi></math></span>-complete and hard to approximate. However, for convex bipartite graphs, it becomes polynomial-time solvable, raising questions about the boundaries of tractability and intractability, as well as approximability and inapproximability, within bipartite graph subclasses. This study examines the approximation hardness of the domination problem for generalized convex graphs, a subclass of bipartite graphs that extends convex bipartite graphs. We explore the approximation hardness for various domination problem variants, including total, connected, paired, and independent domination. Previous research has highlighted the critical role of the <span><math><mo>(</mo><mi>t</mi><mo>,</mo><mi>Δ</mi><mo>)</mo></math></span>-tree convex graph parameters in determining computational complexity, demonstrating polynomial-time solvability when both <em>t</em> and Δ are bounded. Extending these findings, our research establishes that unbounded <em>t</em> or Δ results in <span><math><mi>APX</mi></math></span>-hardness for all examined domination variants. Notably, this result encompasses star and comb convex bipartite graphs.</div></div>","PeriodicalId":49438,"journal":{"name":"Theoretical Computer Science","volume":"1028 ","pages":"Article 115035"},"PeriodicalIF":0.9000,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Computer Science","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304397524006522","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
The domination problem and its variants in bipartite graphs are computationally challenging, known to be -complete and hard to approximate. However, for convex bipartite graphs, it becomes polynomial-time solvable, raising questions about the boundaries of tractability and intractability, as well as approximability and inapproximability, within bipartite graph subclasses. This study examines the approximation hardness of the domination problem for generalized convex graphs, a subclass of bipartite graphs that extends convex bipartite graphs. We explore the approximation hardness for various domination problem variants, including total, connected, paired, and independent domination. Previous research has highlighted the critical role of the -tree convex graph parameters in determining computational complexity, demonstrating polynomial-time solvability when both t and Δ are bounded. Extending these findings, our research establishes that unbounded t or Δ results in -hardness for all examined domination variants. Notably, this result encompasses star and comb convex bipartite graphs.
期刊介绍:
Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.