多层图划分分析

G. Karypis, Vipin Kumar
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引用次数: 360

摘要

近年来,许多研究人员研究了一类基于多层图划分的算法,这些算法具有中等的计算复杂度,并提供了良好的图划分。然而,很少有理论分析可以解释多层算法产生良好分区的能力。在本文中,我们提出了这样一个分析。我们显示,在某些合理的假设下,即使在非粗化阶段不使用精化,粗图的良好平分也最多比精细图的良好平分差一个小因子。我们还表明,对于平面图,粗图的良好顶点分隔符的大小投影到细图(在非粗化阶段不执行细化)比细图的良好顶点分隔符的大小最多高一个小因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Multilevel Graph Partitioning
Recently, a number of researchers have investigated a class of algorithms that are based on multilevel graph partitioning that have moderate computational complexity, and provide excellent graph partitions. However, there exists little theoretical analysis that could explain the ability of multilevel algorithms to produce good partitions. In this paper we present such an analysis. Weshow under certain reasonable assumptions that even if no refinement is used in the uncoarsening phase, a good bisection of the coarser graph is worse than a good bisection of the finer graph by at most a small factor. We also show that for planar graphs, the size of a good vertex-separator of the coarse graph projected to the finer graph (without performing refinement in the uncoarsening phase) is higher than the size of a good vertex-separator of the finer graph by at most a small factor.
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