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arXiv 2005.13703math.CO
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无标度生成树:复杂性、界与算法

Scale-free spanning trees: complexity, bounds and algorithms

Yury Orlovich, Kirill Kukharenko, Volker Kaibel, Pavel Skums

AI总结:

本文研究在连通图中寻找最类无标度生成树的问题,证明其 APX-难和 NP-难性,刻画分裂图最优结构,并提出整数规划公式与快速启发式算法。

摘要:

我们引入并研究了一个一般性问题:在连通图中寻找一棵最“类无标度”的生成树。该问题由流行病学中的一个特定问题所驱动,并可能有助于研究网络中的各种动力学过程。我们为该问题采用了两种可能的目标函数,并引入了相应的算法问题,分别称为 $m$-SF 和 $s$-SF 生成树问题。我们证明了这些问题分别是 APX-难和 NP-难的,即使在三次图、二部图和分裂图类中也是如此。我们研究了无标度生成树问题与最大叶生成树问题之间的关系,后者是与我们的问题最接近的经典算法问题。对于分裂图,我们明确描述了最优生成树的结构以及具有极值解的图。最后,我们为 $s$-SF 生成树问题提出了两个整数线性规划公式和两个快速启发式算法,并使用模拟数据和真实数据通过实验评估了它们的性能。

英文摘要:

We introduce and study the general problem of finding a most "scale-free-like" spanning tree of a connected graph. It is motivated by a particular problem in epidemiology, and may be useful in studies of various dynamical processes in networks. We employ two possible objective functions for this problem and introduce the corresponding algorithmic problems termed $m$-SF and $s$-SF Spanning Tree problems. We prove that those problems are APX- and NP-hard, respectively, even in the classes of cubic, bipartite and split graphs. We study the relations between scale-free spanning tree problems and the max-leaf spanning tree problem, which is the classical algorithmic problem closest to ours. For split graphs, we explicitly describe the structure of optimal spanning trees and graphs with extremal solutions. Finally, we propose two Integer Linear Programming formulations and two fast heuristics for the $s$-SF Spanning Tree problem, and experimentally assess their performance using simulated and real data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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