Computing Minimum Directed Feedback Vertex Set in O(1.9977n)

Igor Razgon
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引用次数: 43

Abstract

In this paper we propose an algorithm which, given a directed graph G, finds the minimum directed feedback vertex set (FVS) of G in O∗(1.9977n) time and polynomial space. To the best of our knowledge, this is the first algorithm computing the minimum directed FVS faster than in O(2n). The algorithm is based on the branch-and-prune principle. The minimum directed FVS is obtained through computing of the complement, i.e. the maximum induced directed acyclic graph. To evaluate the time complexity, we use the measureand-conquer strategy according to which the vertices are assigned with weights and the size of the problem is measured in the sum of weights of vertices of the given graph rather than in the number of the vertices.
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O(1.9977n)中最小有向反馈顶点集的计算
给出一个有向图G,在O * (1.9977n)时间和多项式空间中求G的最小有向反馈顶点集(FVS)的算法。据我们所知,这是第一个比0 (2n)更快地计算最小定向FVS的算法。该算法基于分支-剪枝原理。通过补的计算得到最小有向无环图,即最大诱导有向无环图。为了评估时间复杂度,我们使用测量-征服策略,根据该策略,顶点被赋予权重,问题的大小是用给定图中顶点的权重和来衡量的,而不是用顶点的数量来衡量。
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