稀疏图和密集图的密集图划分

C. Bazgan, Katrin Casel, Pierre Cazals
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引用次数: 4

摘要

我们考虑将一个图划分为非固定数量的最大密度非重叠子图的问题。划分的密度是子图的密度之和,其中子图的密度是它的平均度,也就是它的边数和顶点数的比值。这个问题被称为密集图划分,已知在一般图上是np困难的,在树上是多项式时间可解的,并且是多项式时间2逼近的。本文研究了密集图划分对特定稀疏和密集图类的限制。特别地,我们证明了它在密集二部图和三次图上是NP-hard的。在顶点为$n$的密集图上,对于最小度为$n-3$的图是多项式时间可解的,对于$(n-4)$ -正则图是np困难的。我们证明了它在三次图上是多项式时间$4/3$近似的,并且对于任意常数$t\geq 4$,在最小次图$n-t$上允许一个有效的多项式时间近似方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dense Graph Partitioning on sparse and dense graphs
We consider the problem of partitioning a graph into a non-fixed number of non-overlapping subgraphs of maximum density. The density of a partition is the sum of the densities of the subgraphs, where the density of a subgraph is its average degree, that is, the ratio of its number of edges and its number of vertices. This problem, called Dense Graph Partition, is known to be NP-hard on general graphs and polynomial-time solvable on trees, and polynomial-time 2-approximable. In this paper we study the restriction of Dense Graph Partition to particular sparse and dense graph classes. In particular, we prove that it is NP-hard on dense bipartite graphs as well as on cubic graphs. On dense graphs on $n$ vertices, it is polynomial-time solvable on graphs with minimum degree $n-3$ and NP-hard on $(n-4)$-regular graphs. We prove that it is polynomial-time $4/3$-approximable on cubic graphs and admits an efficient polynomial-time approximation scheme on graphs of minimum degree $n-t$ for any constant $t\geq 4$.
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