Parameterized algorithms for recognizing monopolar and 2-subcolorable graphs
Parameterized algorithms for recognizing monopolar and 2-subcolorable graphs
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用于识别单极图和 2 次着色图的参数化算法
DOI:
10.1016/j.jcss.2017.08.002
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发表时间:
2018
期刊:
影响因子:
--
通讯作者:
und E. J. van Leeuwen
中科院分区:
文献类型:
--
作者:
I. A. Kanj;C. Komusiewicz;M. Sorge;und E. J. van Leeuwen
A graph G is a (Π A, Π B)-graph if V (G) can be bipartitioned into A and B such that G [A] satisfies property Π A and G [B] satisfies property Π B. The (Π A, Π B)-Recognition problem is to recognize whether a given graph is a (Π A, Π B)-graph. There are many (Π A, Π B)-Recognition problems, including the recognition problems for bipartite, split, and unipolar graphs. We present efficient algorithms for many cases of (Π A, Π B)-Recognition based on a technique which we dub inductive recognition. In particular, we give fixed-parameter algorithms for two NP-hard (Π A, Π B)-Recognition problems, Monopolar Recognition and 2-Subcoloring, parameterized by the number of maximal cliques in G [A]. We complement our algorithmic results with several hardness results for (Π A, Π B)-Recognition.
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