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On the Clustered Steiner Tree Problem

机译:在群集施蒂纳的问题上

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摘要

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 ρ 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:我们调查了在度量图中的集群施蒂纳氏树问题,这是施泰纳最小树问题的变体。所需的顶点被划分为集群,并且在可行的集群施蒂纳树中,跨越两个不同群集的子树必须不相交。在本文中,我们表明,即使给出了所有集群和群集树的拓扑,也会仍然存在NP-FARD。我们提出了一种(ρ+ 2) - 普通案例的千克估计算法,其中ρ是施泰勒树问题的近似比。当给出所有簇的拓扑时,我们显示了一个(ρ+ 1) - 估计算法。我们还讨论了这个问题的施蒂纳比。我们显示比率分别较低,上限三和四。

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