Minimal Roman Dominating Functions: Extensions and Enumeration

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Faisal N. Abu-Khzam, Henning Fernau, Kevin Mann
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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 \(\Omega (1.7441^n)\).

最小罗马支配函数:扩展与枚举
摘要 罗马支配法是支配法的众多变体之一,它保留了经典支配法问题的大部分复杂性特征。我们证明罗马支配在枚举和扩展两个方面表现不同。我们以多项式延迟和多项式空间为最小罗马支配函数开发了非难枚举算法。回想一下,类似的枚举结果对于最小支配集的存在已经有几十年的历史了。我们的结果基于 Extension Roman Domination 的多项式时间算法:给定一个图(G=(V,E))和一个函数(f:V\rightarrow \{0,1,2\}\),是否存在一个最小罗马支配函数(\tilde{f}\)与(f\le \tilde{f}\)?在这里,\(\le \)点对点地提升\(0< 1< 2\); 最小性是按这个顺序理解的。我们的枚举算法还从输入敏感的角度进行了分析,从而得出了对于阶数为 n 的图,运行时间估计值为 \(\mathcal {O}(1.9332^n)\) ;这一估计值还得到了 \(\Omega (1.7441^n)\) 的下限实例的补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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