基于深度优先搜索的最大匹配改进并行算法

A. K. Datta, R. Sen
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引用次数: 1

摘要

Datta和Sen(并行算法与应用,5,1995,161 -164)介绍了基于深度优先搜索树计算的图的最大匹配计算。他们表明,该方法为能够有效计算DFS树的图提供了有效的最大匹配并行算法。他们还提出了一种并行方案,使用O(P(n))个处理器在O(T(n) log n)时间内计算最大匹配,其中T(n)和P(n)是并行计算图的DFS树所需的时间和处理器数量。本文提出了一种改进的基于DFS树计算的最大匹配并行计算方法。该算法需要O(T(n))时间和O(P(n))个处理器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IMPROVED PARALLEL ALGORITHM FOR MAXIMAL MATCHING BASED ON DEPTH-FIRST-SEARCH
Computation of maximal matching of a graph based on Depth First Search tree computation was introduced by Datta and Sen (Parallel Algorithms and Applications, 5, 1995, 161-164). They showed that the approach gives efficient parallel algorithms for maximal matching for graphs for which DFS tree can be efficiently computed. They also presented a parallel scheme to compute a maximal matching in O(T(n) log n) time using O(P(n)) number of processors, where T(n) and P(n) are the time and the number of processors required to compute DFS tree of a graph in parallel. We present here, an improved technique to compute maximal matching in parallel based on DFS tree computation. The algorithm takes O(T(n)) time and O(P(n)) processors.
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