{"title":"Minimal Roman Dominating Functions: Extensions and Enumeration","authors":"Faisal N. Abu-Khzam, Henning Fernau, Kevin Mann","doi":"10.1007/s00453-024-01211-w","DOIUrl":null,"url":null,"abstract":"<div><p>Roman domination is one of the many variants of domination that keeps most of the complexity features of the classical domination problem. We prove that Roman domination behaves differently in two aspects: enumeration and extension. We develop non-trivial enumeration algorithms for minimal Roman dominating functions with polynomial delay and polynomial space. Recall that the existence of a similar enumeration result for minimal dominating sets is open for decades. Our result is based on a polynomial-time algorithm for <span>Extension Roman Domination</span>: Given a graph <span>\\(G=(V,E)\\)</span> and a function <span>\\(f:V\\rightarrow \\{0,1,2\\}\\)</span>, is there a minimal Roman dominating function <span>\\(\\tilde{f}\\)</span> with <span>\\(f\\le \\tilde{f}\\)</span>? Here, <span>\\(\\le \\)</span> lifts <span>\\(0< 1< 2\\)</span> pointwise; minimality is understood in this order. Our enumeration algorithm is also analyzed from an input-sensitive viewpoint, leading to a run-time estimate of <span>\\(\\mathcal {O}(1.9332^n)\\)</span> for graphs of order <i>n</i>; this is complemented by a lower bound example of <span>\\(\\Omega (1.7441^n)\\)</span>.\n</p></div>","PeriodicalId":50824,"journal":{"name":"Algorithmica","volume":"86 6","pages":"1862 - 1887"},"PeriodicalIF":0.9000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00453-024-01211-w.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Algorithmica","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s00453-024-01211-w","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
Roman domination is one of the many variants of domination that keeps most of the complexity features of the classical domination problem. We prove that Roman domination behaves differently in two aspects: enumeration and extension. We develop non-trivial enumeration algorithms for minimal Roman dominating functions with polynomial delay and polynomial space. Recall that the existence of a similar enumeration result for minimal dominating sets is open for decades. Our result is based on a polynomial-time algorithm for Extension Roman Domination: Given a graph \(G=(V,E)\) and a function \(f:V\rightarrow \{0,1,2\}\), is there a minimal Roman dominating function \(\tilde{f}\) with \(f\le \tilde{f}\)? Here, \(\le \) lifts \(0< 1< 2\) pointwise; minimality is understood in this order. Our enumeration algorithm is also analyzed from an input-sensitive viewpoint, leading to a run-time estimate of \(\mathcal {O}(1.9332^n)\) for graphs of order n; this is complemented by a lower bound example of \(\Omega (1.7441^n)\).
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.