Algorithmic Aspects of Total Vertex-Edge Domination in Graphs

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS
H. Naresh Kumar, Mustapha Chellali, Y. B. Venkatakrishnan
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引用次数: 0

Abstract

A vertex [Formula: see text] of a simple graph [Formula: see text] ve-dominates every edge incident to [Formula: see text] as well as every edge adjacent to these incident edges. A set [Formula: see text] is a total vertex-edge dominating set if every edge of [Formula: see text] is ve-dominated by a vertex of [Formula: see text] and the subgraph induced by [Formula: see text] has no isolated vertex. The total vertex-edge domination problem is to find a total vertex-edge dominating set of minimum cardinality. In this paper, we first show that the total vertex-edge domination problem is NP-complete for chordal graphs. Then we provide a linear-time algorithm for this problem in trees. Moreover, we show that the minimum total vertex-edge domination problem cannot be approximated within [Formula: see text] for any [Formula: see text] unless [Formula: see text]). Finally, we prove that the minimum total vertex-edge domination problem is APX-complete for bounded-degree graphs.
图中总顶点-边缘支配的算法方面
一个简单图形的顶点[公式:见文本]-支配与[公式:见文本]相关的每条边以及与这些相关边相邻的每条边。如果[公式:见文]的每条边都被[公式:见文]的一个顶点占主导地位,且由[公式:见文]引出的子图没有孤立顶点,则集合[公式:见文]是总顶点边缘支配集。总顶点边缘支配问题是求一个最小基数的总顶点边缘支配集。本文首先证明了弦图的总顶点边控制问题是np完全的。在此基础上,给出了求解该问题的线性时间算法。此外,我们表明,对于任何[公式:见文],除非[公式:见文]),在[公式:见文]内都不能近似求得最小总顶点-边缘控制问题。最后,我们证明了最小总顶点边控制问题对于有界度图是apx完全的。
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来源期刊
International Journal of Foundations of Computer Science
International Journal of Foundations of Computer Science 工程技术-计算机:理论方法
CiteScore
1.60
自引率
12.50%
发文量
63
审稿时长
3 months
期刊介绍: The International Journal of Foundations of Computer Science is a bimonthly journal that publishes articles which contribute new theoretical results in all areas of the foundations of computer science. The theoretical and mathematical aspects covered include: - Algebraic theory of computing and formal systems - Algorithm and system implementation issues - Approximation, probabilistic, and randomized algorithms - Automata and formal languages - Automated deduction - Combinatorics and graph theory - Complexity theory - Computational biology and bioinformatics - Cryptography - Database theory - Data structures - Design and analysis of algorithms - DNA computing - Foundations of computer security - Foundations of high-performance computing
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