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An improved kernel for Max-Bisection above tight lower bound
Theoretical Computer Science ( IF 1.1 ) Pub Date : 2018-06-22 , DOI: 10.1016/j.tcs.2018.06.027
Qilong Feng , Senmin Zhu , Jianxin Wang

We study kernelizations for Max-Bisection above Tight Lower Bound, which is to decide if a given graph G=(V,E) admits a bisection with at least |E|/2+k crossing edges. The best known kernel for this problem has 16k vertices. Based on the Gallai–Edmonds decomposition, we divide the vertices of G into several categories and study the roles of vertices in each category for obtaining a larger number of crossing edges. By making use of the properties of maximum matchings in G, graph G is partitioned into a set of blocks, and each block in G is closely related to the number of crossing edges of a bisection of G. By analyzing the number of crossing edges in blocks, an improved kernel of 8k vertices is presented.



中文翻译:

最小下限以上的Max-Bisection的改进内核

我们研究紧下界上方的最大二分法的核化,这是为了确定给定图G=VË 接受至少具有 |Ë|/2+ķ交叉边缘。这个问题最著名的内核有16 k个顶点。基于Gallai–Edmonds分解,我们将G的顶点分为几个类别,并研究每个类别中顶点的作用以获得更大的交叉边缘。通过利用在最大匹配的属性的ģ,图ģ被划分为一组块,并且在每个块中ģ密切相关的二等分的交叉的边的数目ģ。通过分析块中相交边的数量,提出了一种改进的8 k顶点核。

更新日期:2018-06-22
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