A random NC algorithm for depth first search

A. Aggarwal, Richard J. Anderson
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引用次数: 92

Abstract

In this paper we present a fast parallel algorithm for constructing a depth first search tree for an undirected graph. The algorithm is an RNC algorithm, meaning that it is a probabilistic algorithm that runs in polylog time using a polynomial number of processors on a P-RAM. The run time of the algorithm is &Ogr;(TMM(n)log3n), and the number of processors used is PMM(n) where TMM(n) and PMM(n) are the time and number of processors needed to find a minimum weight perfect matching on an n vertex graph with maximum edge weight n.
深度优先搜索的随机NC算法
本文提出了一种构造无向图深度优先搜索树的快速并行算法。该算法是一种RNC算法,这意味着它是一种概率算法,在多对数时间内使用P-RAM上的多项式数量的处理器运行。算法的运行时间为&Ogr;(TMM(n)log3n),使用的处理器数量为PMM(n),其中TMM(n)和PMM(n)是在最大边权为n的n顶点图上找到最小权值完美匹配所需的处理器时间和处理器数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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