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The External Network Problem with Edge- or Arc-Connectivity Requirements

机译:具有边缘或电弧连接要求的外部网络问题

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The connectivity of a communications network can often be enhanced if the nodes are able, at some expense, to form links using an external network. In this paper, we consider the problem of how to obtain a prescribed level of connectivity with a minimum number of nodes connecting to the external network. Let D = (V, A) be a digraph. A subset X of vertices in V may be chosen, the so-called external vertices. An internal path is a normal directed path in D; an external path is a pair of internal paths p_1 = v_1 ··· v_s, p_2 = w_1 ··· w_t in D such that v_s and w_1 are external vertices (the idea is that v_1 can contact w_t along this path using an external link from v_t to w_1). Then (D, X) is externally-k-arc-strong if for each pair of vertices u and v in V, there are k arc-disjoint paths (which may be internal or external) from u to v. We present polynomial algorithms that, given a digraph D and positive integer k, will find a set of external vertices X of minimum size subject to the requirement that (D,X) must be externally-k-arc-strong.
机译:如果节点能够以一定支出,则通常可以增强通信网络的连接性,以便使用外部网络形成链路。在本文中,我们考虑如何使用连接到外部网络的最小节点数量获得规定的连接水平。让d =(v,a)是一部分。可以选择V中的顶点的子集X,所谓的外部顶点。内部路径是D中的正常定向路径;外部路径是一对内部路径p_1 = v_1·····················使用外部链接则v_1可以使用外部链接与此路径联系到外部顶点的V_2 = w_1。从v_t到w_1)。然后(D,x)是外部k - 弧强 - 如果对于每对顶点U和V中的V,则来自v的k个电弧不相交路径(可以是内部或外部的)到v。我们存在多项式算法这样,给定DIGRAPH D和正整数k,将找到一组最小尺寸的外部顶点X,但需要(d,x)必须是外部k弧强的要求。

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