An improved kernel and parameterized algorithm for deletion to induced matching

IF 1 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Theoretical Computer Science Pub Date : 2025-04-01 DOI:10.1016/j.tcs.2025.115215
Yuxi Liu, Mingyu Xiao
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Abstract

A graph is called an induced matching if each vertex in the graph is a degree-1 vertex. The Deletion to Induced Matching problem asks whether we can delete at most k vertices from the input graph such that the remaining graph is an induced matching. This paper studies parameterized algorithms for this problem by taking the size k of the deletion set as the parameter. First, we prove a 6k-vertex kernel for this problem, improving the previous result of 7k. Second, we give an O(1.6477k)-time and polynomial-space algorithm, improving the previous running-time bound of O(1.7485k).
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一种改进的核和参数化删除诱导匹配算法
如果图中的每个顶点都是1次顶点,则称为诱导匹配。删除到诱导匹配问题问的是我们是否可以从输入图中删除最多k个顶点,使得剩下的图是一个诱导匹配。本文以删除集的大小k为参数,研究了该问题的参数化算法。首先,我们证明了这个问题的6k顶点核,改进了之前7k的结果。其次,我们给出了一个O (1.6477k)时间和多项式空间算法,改进了之前O (1.7485k)的运行时间界限。
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来源期刊
Theoretical Computer Science
Theoretical Computer Science 工程技术-计算机:理论方法
CiteScore
2.60
自引率
18.20%
发文量
471
审稿时长
12.6 months
期刊介绍: Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.
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