加权图上的一些最优并行算法

Ming-Shing Yu, Chuan-Ming Liu
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引用次数: 0

摘要

图的类别,或互补可约图,自然出现在应用数学和计算机科学的许多不同领域。本文在EREW PRAM模型上提出了一个O(n)时间序列算法和一个O(log n)时间和O(n/log n)处理器并行算法来解决加权图上的最大权无关集问题。利用这种算法,我们可以很容易地解决具有相同时间和处理器边界的加权图上的最小权值顶点覆盖、最大权值团、最小权值独立支配集、最小权值支配集和最小权值最大无冗余集问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some optimal parallel algorithms on weighted cographs
The class of cographs, or complement-reducible graphs, arises naturally in many different areas of applied mathematics and computer science. In this paper we present an O(n) time sequential algorithm and a parallel algorithm of O(log n) time and O(n/log n) processors on the EREW PRAM model to solve the maximum weight independent set problem on weighted cographs. Using such algorithms we can easily solve the minimum weight vertex cover, maximum weight clique, minimum weight independent dominating set, minimum weight dominating set, and minimum weight maximal irredundant set problems on weighted cographs with the same bounds of time and processors.
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