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Generalized Pseudoforest Deletion: Algorithms and Uniform Kernel

机译:广义伪森林删除:算法和统一内核

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Feedback Vertex Set (FVS) is one of the most well studied problems in the realm of parameterized complexity. In this problem we are given a graph G and a positive integer k and the objective is to test whether there exists S is contained in V(G) of size at most k such that G - S is a forest. Thus, FVS is about deleting as few vertices as possible to get a forest. The main goal of this paper is to study the following interesting problem: How can we generalize the family of forests such that the nice structural properties of forests and the interesting algorithmic properties of FVS can be extended to problems on this class? Towards this we define a graph class, F_l, that contains all graphs where each connected component can transformed into forest by deleting at most l edges. The class F_1 is known as pseudoforest in the literature and we call F_l as l-pseudoforest. We study the problem of deleting k-vertices to get into F_l, l-pseudoforest Deletion, in the realm of parameterized complexity. We show that l-pseudoforest Deletion admits an algorithm with running time c_l~kn~(O(1)) and admits a kernel of size f(l)k~2. Thus, for every fixed l we have a kernel of size O(k~2). That is, we get a uniform polynomial kernel for l-pseudoforest Deletion. For the special case of l = 1, we design an algorithm with running time 7.5618~kn~(O(1)). Our algorithms and uniform kernels combine iterative compression, expansion lemma and protrusion machinery.
机译:反馈顶点集(FVS)是参数化复杂度领域中研究最深入的问题之一。在这个问题中,我们给定一个图G和一个正整数k,目的是测试在最大k的V(G)中是否存在S,从而使G是森林。因此,FVS将删除尽可能少的顶点以获取森林。本文的主要目的是研究以下有趣的问题:如何概括森林家族,以便将森林的良好结构特性和FVS有趣的算法特性扩展到此类问题上?为此,我们定义了一个图形类F_1,其中包含所有图形,其中每个连接的组件都可以通过删除最多l个边来转换为森林。 F_1类在文献中被称为伪林,我们将F_1称为l-伪林。我们研究了在参数化复杂性领域中删除k顶点以进入F_1,l-伪森林删除的问题。我们证明了l-伪森林删除接受运行时间为c_l〜kn〜(O(1))的算法,并接受大小为f(l)k〜2的内核。因此,对于每个固定的l,我们都有一个大小为O(k〜2)的内核。也就是说,我们获得了用于l-伪森林删除的统一多项式内核。对于l = 1的特殊情况,我们设计了一种运行时间为7.5618〜kn〜(O(1))的算法。我们的算法和统一内核结合了迭代压缩,扩展引理和突出机制。

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