Optimal algorithms for the vertex updating problem of a minimum spanning tree

Donald B. Johnson, P. Metaxas
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引用次数: 9

Abstract

The vertex updating problem for a minimum spanning tree (MST) is defined as follows: Given a graph G=(V,E/sub G/) and its MST T, update T when a new vertex z is introduced along with weighted edges that connect z with the vertices of G. The authors present a set of rules that, together with a valid tree-contraction schedule are used to produce simple optimal parallel algorithms that run in O(log n) parallel time using n/lgn EREW PRAMs where n= mod V mod . These rules can also be used to derive simple linear-time sequential algorithms for the same problem. It is also shown how this solution can be used to solve the multiple vertex updating problem: Update a given MST when k new vertices are introduced simultaneously. This problem is solved in O(lgk.lgn) parallel time using /sub lgk.lgn//sup k.n/ EREW PRAM processors.<>
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最小生成树顶点更新问题的最优算法
顶点的最小生成树(MST)更新问题定义如下:给定一个图G = (V, E / sub G /)及其MST T, T更新当一个新的顶点z介绍以及加权边缘连接z与G的顶点作者提供的一组规则,连同一个有效tree-contraction时间表是用于生产简单的最优运行的并行算法在O (log n)平行时间使用n / lgn EREW婴儿车V mod n =国防部。这些规则也可以用来为同样的问题推导简单的线性时间序列算法。还展示了如何使用此解决方案来解决多顶点更新问题:当同时引入k个新顶点时更新给定的MST。使用/sub lgk在O(lgk.lgn)并行时间内解决了这个问题。//sup k.n/ EREW PRAM处理器
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