Packing arc-disjoint cycles in oriented graphs

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE Journal of Computer and System Sciences Pub Date : 2024-03-15 DOI:10.1016/j.jcss.2024.103530
Jasine Babu , Ajay Saju Jacob , R. Krithika , Deepak Rajendraprasad
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Abstract

Arc-Disjoint Cycle Packing is a classical NP-complete problem and we study it from two perspectives: (1) by restricting the cycles in the packing to be of a fixed length, and (2) by restricting the inputs to bipartite tournaments. Focusing first on Arc-Disjoint r-Cycle Packing (where the cycles in the packing are required to be of length r), we show NP-completeness in oriented graphs with girth r for each r3 and study the parameterized complexity of the problem with respect to two parameterizations (solution size and vertex cover size) for r=4 in oriented graphs. Moving on to Arc-Disjoint Cycle Packing in bipartite tournaments, we show that every bipartite tournament either contains k arc-disjoint cycles or has a feedback arc set of size at most 7(k1). This result adds to the set of Erdös-Pósa-type results known in the combinatorics literature for packing and covering problems.

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打包定向图中的弧异循环
是一个经典的-完全问题,我们从两个角度对其进行研究:(1) 通过限制包装中的循环为固定长度,以及 (2) 通过限制输入为两方锦标赛。我们首先关注的是(要求包装中的循环长度为 ),我们展示了面向图中每一个有周长问题的-完备性,并研究了面向图中两个参数化(解大小和顶点覆盖大小)问题的参数化复杂度。接着,我们研究了双方位锦标赛中的问题,证明每个双方位锦标赛要么包含弧不相交循环,要么有一个反馈弧集,其大小至多为 。这一结果为组合学文献中已知的打包和覆盖问题的厄尔多斯-波萨类型结果集增添了新的内容。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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