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首页> 外文期刊>Algorithmica >Generalized Feedback Vertex Set Problems on Bounded-Treewidth Graphs: Chordality is the Key to Single-Exponential Parameterized Algorithms
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Generalized Feedback Vertex Set Problems on Bounded-Treewidth Graphs: Chordality is the Key to Single-Exponential Parameterized Algorithms

机译:有界树图上的广义反馈顶点集问题:和弦性是单指数参数化算法的关键

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摘要

It has long been known that Feedback Vertex Set can be solved in time 2 O-(w log w) n(O(1)) on n-vertex graphs of treewidth w, but it was only recently that this running time was improved to 2(O(w))n(O(1)), that is, to single-exponential parameterized by treewidth. We investigate which generalizations of Feedback Vertex Set can be solved in a similar running time. Formally, for a class P of graphs, the Bounded P-Block Vertex Deletion problem asks, given a graph G on n vertices and positive integers k and d, whether G contains a set S of at most k vertices such that each block of G -S has at most d vertices and is in P. Assuming that P is recognizable in polynomial time and satisfies a certain natural hereditary condition, we give a sharp characterization of when single-exponential parameterized algorithms are possible for fixed values of d: -if P consists only of chordal graphs, then the problem can be solved in time 2(O(wd2))n(O(1)),- if P contains a graph with an induced cycle of length l >= 4, then the problem is not solvable in time 2(o(w log w))n(O(1)) even for fixed d = l, unless the ETH fails.We also study a similar problem, called Bounded P-Component Vertex Deletion, where the target graphs have connected components of small size rather than blocks of small size, and we present analogous results. For this problem, we also show that if d is part of the input and P contains all chordal graphs, then it cannot be solved in time f(w)n(o(w)) for some function f, unless the ETH fails.
机译:早就知道反馈顶点集可以在树宽w的n个顶点图上的时间2 O-(w log w)n(O(1))中求解,但是直到最近,该运行时间才被改进为2(O(w))n(O(1)),即以树宽为单位的单指数参数。我们研究了可以在相似的运行时间内解决哪些反馈顶点集推广。形式上,对于P类图,有界P块顶点删除问题询问,给定在n个顶点上的图G和正整数k和d,给定G是否包含最多k个顶点的集合S,从而G的每个块-S最多具有d个顶点,并且在P中。假定P在多项式时间内是可识别的,并且满足一定的自然遗传条件,那么我们将对何时针对d的固定值使用单指数参数化算法做出清晰的描述:-if P仅由弦图组成,则可以在时间2(O(wd2))n(O(1))中解决问题-如果P包含长度为l> = 4的诱导周期的图即使对于固定的d = l,时间2(o(w log w))n(O(1))也不可解决,除非ETH失败。我们还研究了一个类似的问题,称为有界P分量顶点删除,其中目标图具有较小尺寸的连接组件,而不是较小尺寸的块,我们给出了类似的结果。对于这个问题,我们还表明,如果d是输入的一部分,并且P包含所有弦图,那么对于某个函数f,它不能在时间f(w)n(o(w))时求解,除非ETH失败。

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