第 k 个罗马支配问题在区间图上是多项式问题

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Peng Li
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引用次数: 0

摘要

让 G 是某个简单图形,k 是任意正整数。取(h:V(G)\rightarrow \{0,1,\ldots ,k+1\}) 和 \(v \in V(G)\), let \(AN_{h}(v)\) denote the set of vertices \(w\in N_{G}(v)\) with \(h(w)\ge 1\).让(AN_{h}[v] = AN_{h}(v)\cup \{v\})。函数 h 是 G 的 [k]-Roman 主导函数,如果对于任意 \(v \in V(G)\) \(h(AN_{h}[v]) \ge |AN_{h}(v)| + k\) 成立。这样一个函数的最小权重被称为 G 的第 k 个罗马支配数,用 \(\gamma _{kR}(G)\) 表示。2020 年,Banerjee 等人提出了在适当区间图和块图上计算双罗马支配数的线性时间算法。他们提出了一个开放性问题,即是否存在某种多项式时间算法来解决区间图上的双罗马支配数问题。他们认为区间图是一个非难图类。在本文中,我们设计了一种简单的动态多项式时间算法来解决区间图上每个固定整数 \(k>1\)的 k-th Roman domination 问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The k-th Roman domination problem is polynomial on interval graphs

The k-th Roman domination problem is polynomial on interval graphs

Let G be some simple graph and k be any positive integer. Take \(h: V(G)\rightarrow \{0,1,\ldots ,k+1\}\) and \(v \in V(G)\), let \(AN_{h}(v)\) denote the set of vertices \(w\in N_{G}(v)\) with \(h(w)\ge 1\). Let \(AN_{h}[v] = AN_{h}(v)\cup \{v\}\). The function h is a [k]-Roman dominating function of G if \(h(AN_{h}[v]) \ge |AN_{h}(v)| + k\) holds for any \(v \in V(G)\). The minimum weight of such a function is called the k-th Roman Domination number of G, which is denoted by \(\gamma _{kR}(G)\). In 2020, Banerjee et al. presented linear time algorithms to compute the double Roman domination number on proper interval graphs and block graphs. They posed the open question that whether there is some polynomial time algorithm to solve the double Roman domination problem on interval graphs. It is argued that the interval graph is a nontrivial graph class. In this article, we design a simple dynamic polynomial time algorithm to solve the k-th Roman domination problem on interval graphs for each fixed integer \(k>1\).

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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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