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The Approximability of Partial Vertex Covers in Trees

机译:树中部分顶点覆盖的逼近度

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摘要

Motivated by applications in risk management of computational systems, we focus our attention on a special case of the partial vertex cover problem, where the underlying graph is assumed to be a tree. Here, we consider four possible versions of this setting, depending on whether vertices and edges are weighted or not. Two of these versions, where edges are assumed to be unweighted, are known to be polynomial-time solvable. However, the computational complexity of this problem with weighted edges, and possibly with weighted vertices, has not been determined yet. The main contribution of this paper is to resolve these questions by fully characterizing which variants of partial vertex cover remain intractable in trees, and which can be efficiently solved. In particular, we propose a pseudo-polynomial DP-based algorithm for the most general case of having weights on both edges and vertices, which is proven to be NP-hard. This algorithm provides a polynomial-time solution method when weights are limited to edges, and combined with additional scaling ideas, leads to an FPTAS for the general case. A secondary contribution of this work is to propose a novel way of using centroid decompositions in trees, which could be useful in other settings as well.
机译:受计算系统风险管理中的应用程序的激励,我们将注意力集中在部分顶点覆盖问题的特殊情况下,其中基础图被假定为一棵树。在这里,我们根据顶点和边是否被加权来考虑该设置的四个可能版本。已知其中两个版本中的边沿被假定为未加权,因此可以在多项式时间上求解。但是,尚未确定此问题的计算复杂性(带有加权边,可能带有加权顶点)。本文的主要贡献是通过全面描述部分顶点覆盖的哪些变体在树木中仍然难以解决以及哪些可以有效解决,从而解决了这些问题。特别是,我们针对在边缘和顶点上都具有权重的最一般情况提出了一种基于伪多项式DP的算法,事实证明这是NP难的。当权重限制在边缘时,该算法提供了多项式时间求解方法,并结合了其他缩放概念,从而为一般情况提供了FPTAS。这项工作的第二个贡献是提出了一种在树中使用质心分解的新颖方法,该方法在其他环境中也可能有用。

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