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An improved FPT algorithm for Almost Forest Deletion problem

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成果类型:
期刊论文
作者:
Lin, Mugang;Feng, Qilong*;Wang, Jianxin;Chen, Jianer;Fu, Bin;...
通讯作者:
Feng, Qilong
作者机构:
[Feng, Qilong; Lin, Mugang; Wang, Jianxin] Cent S Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China.
[Lin, Mugang] Hengyang Normal Univ, Sch Comp Sci & Technol, Hengyang, Peoples R China.
[Lin, Mugang] Hunan Prov Key Lab Intelligent Informat Proc & Ap, Hengyang, Peoples R China.
[Chen, Jianer] Texas A&M Univ, Dept Comp Sci & Engn, College Stn, TX 77843 USA.
[Fu, Bin] Univ Texas Rio Grande Valley, Dept Comp Sci, Edinburg, TX USA.
通讯机构:
[Feng, Qilong] C
Cent S Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China.
语种:
英文
关键词:
Almost forest deletion;Feedback vertex set;Fixed-parameter algorithm;Graph algorithms;Iterative compression
期刊:
Information Processing Letters
ISSN:
0020-0190
年:
2018
卷:
136
页码:
30-36
基金类别:
This work is supported by the National Natural Science Foundation of China under Grants (61472449, 61772179, 61420106009, 61402054, 61572414, 71631008), the Scientific Research Fund of Hunan Provincial Education Department under Grant (17C0222), the Hengyang Foundation for Development of Science and Technology under Grant (2016KG39), the Science and Technology Plan Project of Hunan Province under Grants (2016TP1020) and the Open Fund Project of Hunan Provincial Key Laboratory of Intelligent Information Processing and Application for Hengyang Normal University.
机构署名:
本校为其他机构
摘要:
Almost Forest Deletion problem (AFD) is a generalization of the Feedback Vertex Set problem, which decides whether there exist at most k vertices in a given graph G whose removal from G results in an l-forest, where k and l are two given non-negative integers, and an l-forest is a graph which can be transformed into a forest by deleting at most l edges. Based on the iterative compression technique, we study the iterative version of the AFD problem, called Almost Forest Deletion Disjoint Compression problem (AFDDC), which asks for a new l-forest...

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