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An Eight-Approximation Algorithm for Computing Rooted Three-Vertex Connected Minimum Steiner Networks

机译:计算有根三顶点连接的最小Steiner网络的八近似算法

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For a given undirected (edge) weighted graph $(G=(V,E))$, a terminal set $(S subseteq V)$ and a root $(r in S)$, the rooted $(k)$-vertex connected minimum Steiner network ($(kVSMN_{r})$) problem requires to construct a minimum-cost subgraph of $(G)$ such that each terminal in $(Ssetminus{{r}})$ is $(k)$-vertex connected to $(r)$. As an important problem in survivable network design, the $(kVSMN_{r})$ problem is known to be NP-hard even when $(k=1)$. For $(k=3)$ this paper presents a simple combinatorial eight-approximation algorithm, improving the known best ratio 14 of Nutov. Our algorithm constructs an approximate $(3VSMN_{r})$ through augmenting a two-vertex connected counterpart with additional edges of bounded cost to the optimal. We prove that the total cost of the added edges is at most six times of the optimal by showing that the edges in a $(3VSMN_{r})$ compose a subgraph containing our solution in such a way that each edge appears in the subgraph at most six times.
机译:对于给定的无向(边缘)加权图$(G =(V,E))$,终端集$(Ssubseteq V)$和根$(r在S)$中,根$(k)$-顶点连接的最小Steiner网络($(kVSMN_ {r})$)问题需要构造$(G)$的最小成本子图,使得$(Ssetminus {{r}})$中的每个终端都是$(k)连接到$(r)$的$顶点。作为可生存网络设计中的一个重要问题,即使$(k = 1)$,$(kVSMN_ {r})$问题也是NP难的。对于$(k = 3)$,本文提出了一种简单的组合八近似算法,改进了Nutov的已知最佳比率14。我们的算法通过将两个顶点连接的对等体增加边界成本的额外边来优化,从而构造出一个近似((3VSMN_ {r})$)。通过证明$(3VSMN_ {r})$中的边构成包含我们解决方案的子图,使得每个边都出现在子图中,我们证明了添加的边的总成本最多是最优值的六倍。最多六次。

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