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On the Clustered Steiner Tree Problem

机译:关于集群Steiner树问题

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We investigate the Clustered Steiner tree problem on metric graphs, which is a variant of Steiner minimum tree problem. The required vertices are partitioned into clusters, and in a feasible clustered Steiner tree, the subtrees spanning two different clusters must be disjoint. In this paper, we show that the problem remains NP-hard even if the topologies of all clusters and the inter-cluster tree are given. We propose a (ρ + 2)-approximation algorithm for the general case, in which p is the approximation ratio for the Steiner tree problem. When the topologies for all clusters are given, we show a (ρ + 1)-approximation algorithm. We also discuss the Steiner ratio for this problem. We show the ratio is lower and upper bounded by three and four, respectively.
机译:我们研究度量图上的集群式Steiner树问题,这是Steiner最小树问题的一种变体。所需的顶点被划分为群集,并且在可行的群集Steiner树中,跨越两个不同群集的子树必须是不相交的。在本文中,我们表明即使给出了所有群集和群集间树的拓扑,问题仍然是NP难题。对于一般情况,我们提出一种(ρ+ 2)逼近算法,其中p是Steiner树问题的逼近率。当给出了所有集群的拓扑时,我们展示了一个(ρ+ 1)近似算法。我们还将讨论这个问题的斯坦纳比率。我们显示该比率的下限和上限分别为3和4。

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