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Analysis of Multilevel Graph Partitioning

机译:多级图划分分析

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摘要

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. We show 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.
机译:最近,许多研究人员研究了基于多级图分区的一类算法,这些算法具有适度的计算复杂性,并提供出色的图分区。但是,几乎没有理论分析可以解释多级算法产生良好分区的能力。在本文中,我们提出了这样一种分析。我们在一定的合理假设下表明,即使在不粗化阶段不使用任何细化,较粗图的良好对分比细图的良好对分最差一个小因素。我们还表明,对于平面图,投影到精细图的粗图的良好顶点分隔符的大小(不进行粗化阶段的细化)比精细图的良好顶点分隔符的大小高最多只是一个很小的因素。

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