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Problem Kernels for NP-Complete Edge Deletion Problems: Split and Related Graphs

机译:NP完全边删除问题的问题核:分裂图和相关图

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In an edge deletion problem one is asked to delete at most k edges from a given graph such that the resulting graph satisfies a certain property. In this work, we study four NP-complete edge deletion problems where the goal graph has to be a chain, a split, a threshold, or a co-trivially perfect graph, respectively. All these four graph classes are characterized by a common forbidden induced subgraph 2K_2, that is, an independent pair of edges. We present the seemingly first non-trivial algorithmic results for these four problems, namely, four polynomial-time data reduction algorithms that achieve problem kernels containing O(k~2), O(k~4), O(k~3), and O(k~3) vertices, respectively.
机译:在边缘删除问题中,要求一个人从给定的图形中删除最多k个边缘,以使生成的图形满足某种特性。在这项工作中,我们研究了四个NP完全边缘缺失问题,其中目标图必须分别是链图,分割图,阈值图或同平凡完美图。所有这四个图类的特征都在于一个共同的禁止诱导子图2K_2,即一对独立的边。我们针对这四个问题提出了看似第一个非平凡的算法结果,即四种多项式时间数据约简算法,这些算法实现了包含O(k〜2),O(k〜4),O(k〜3),和O(k〜3)顶点。

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