图中最小划分问题的算法

H. Nagamochi
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引用次数: 5

摘要

在本文中,作者解释了图中最小划分问题算法的最新发展。当一个具有非负权边的图的顶点集被划分为k个子集时,两个端点都包含在不同子集中的边集称为k-way cut或k-cut。如何获得使权重总和最小的k路切割问题是在VLSI设计等许多实际应用中出现的一个重要研究课题。在本文中,作者介绍了最近的一些结果,包括在该问题中进一步规定了要分离的终端集或终端对集,以及将要划分的对象从图扩展到超图或子模集函数。©2007 Wiley期刊公司电子工程学报,2009,35 (3):393 - 398;在线发表于Wiley InterScience (www.interscience.wiley.com)。DOI 10.1002 / ecjc.20341
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Algorithms for the minimum partitioning problems in graphs
In this paper, the author explains the recent evolution of algorithms for minimum partitioning problems in graphs. When the set of vertices of a graph having non-negative weights for edges is divided into k subsets, the set of edges for which both endpoints are contained in different subsets is called a k-way cut or k-cut. The problem of obtaining the k-way cut that minimizes the sum of the weights is an important research topic that appears in many practical applications such as VLSI design. In this paper, the author introduces recent results including cases in which sets of terminals or sets of terminal pairs that are to be separated are further specified in this problem and cases in which the objects to be partitioned are extended from graphs to hypergraphs or submodular set functions. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 90(10): 63– 78, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.20341
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