Exact and Parameterized Algorithms for Restricted Subset Feedback Vertex Set in Chordal Graphs

被引:1
作者
Bai, Tian [1 ]
Xiao, Mingyu [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu, Peoples R China
来源
THEORY AND APPLICATIONS OF MODELS OF COMPUTATION, TAMC 2022 | 2022年 / 13571卷
基金
中国国家自然科学基金;
关键词
Subset feedback vertex set; Chordal graphs; Exact exponential algorithms; Parameterized algorithms;
D O I
10.1007/978-3-031-20350-3_20
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The Restricted Subset Feedback Vertex Set problem (R-SFVS) takes a graph G = (V, E), a terminal set T subset of V, and an integer k as the input. The task is to determine whether there exists a subset S subset of V \ T of at most k vertices, after deleting which no terminal in T is contained in a cycle in the remaining graph. R-SFVS is NP-complete even when the input graph is restricted to chordal graphs. In this paper, we show that R-SFVS in chordal graphs can be solved in time O(1.1550 vertical bar V vertical bar), significantly improving all the previous results. As a by-product, we prove that the Maximum Independent Set problem parameterized by the edge clique cover number is fixed-parameter tractable. Furthermore, by using a simple reduction from R-SFVS to Vertex Cover, we obtain a 1.2738(k)vertical bar V vertical bar(O(1))-time parameterized algorithm and an O(k(2))-kernel for R-SFVS in chordal graphs.
引用
收藏
页码:249 / 261
页数:13
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