Divide-and-conquer minimal-cut bisectioning of task graphs

S. Lor, Hong Shen, P. Maheshwari
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引用次数: 5

Abstract

This paper proposes a method for partitioning the vertex set of an undirected simple weighted graph into two subsets so as to minimise the difference of vertex-weight sums between the two subsets and the total weight of edges cut (i.e., edges with one end in each subset). The proposed heuristic algorithm works in a divide-and-conquer fashion and is a modification of an algorithm suggested in the literature. The algorithm has the same time complexity as the previous one but is extended to work on weighted graphs.<>
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任务图的分治最小切切分
本文提出了一种将无向简单加权图的顶点集划分为两个子集的方法,使两个子集的顶点权值和与被切边(即每个子集中有一端的边)的总权值之差最小。提出的启发式算法以分而治之的方式工作,是对文献中建议的算法的修改。该算法具有与前一算法相同的时间复杂度,但被扩展到对加权图的处理
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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