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A Given Diameter MST on a Random Graph

机译:随机图的给定直径MST

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摘要

We give a new approximation polynomial time algorithm for one of the intractable problem of finding given-diameter Minimum Spanning Tree (MST) on n-vertex complete graph with randomly weighted edges. A significant advantage of this algorithm is that it turned out to be well suited for finding several edge-disjoint MST of a given diameter. A probabilistic analysis was performed under conditions that edge weights of given graph are identically independent uniformly distributed random variables on an segment [a_n;b_n], a_n>0. Sufficient conditions of asymptotic optimality are presented. It is also noteworthy that the new algorithmic approach to solve the problem of finding a given-diameter MST both on directed and undirected graphs.
机译:我们给出了一种新的近似多项式时间算法,用于使用随机加权边缘在n-顶点完整图上找到给定直径最小生成树(MST)的富有难关问题之一。该算法的显着优点是它结果非常适合于找到给定直径的几个边缘脱节MST。在给定图形的边缘权重的条件下执行概率分析在段[a_n; b_n],a_n> 0上在段[a_n; b_n],a_n> 0上是相同的均匀分布的随机变量。呈现了充分的渐近优化条件。还值得注意的是,新的算法方法解决了在指向和无向图中找到给定直径MST的问题。

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