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Testing gap k-planarity is NP-complete
Information Processing Letters ( IF 0.5 ) Pub Date : 2021-01-27 , DOI: 10.1016/j.ipl.2020.106083
John C. Urschel , Jake Wellens

For all k1, we show that deciding whether a graph is k-planar is NP-complete, extending the well-known fact that deciding 1-planarity is NP-complete. Furthermore, we show that the gap version of this decision problem is NP-complete. In particular, given a graph with local crossing number either at most k1 or at least 2k, we show that it is NP-complete to decide whether the local crossing number is at most k or at least 2k. This algorithmic lower bound proves the non-existence of a (2ϵ)-approximation algorithm for any fixed k1. In addition, we analyze the sometimes competing relationship between the local crossing number (maximum number of crossings per edge) and crossing number (total number of crossings) of a drawing. We present results regarding the non-existence of drawings that simultaneously approximately minimize both the local crossing number and crossing number of a graph.



中文翻译:

测试间隙k-平面度是NP完全的

对全部 ķ1个,我们证明了确定图是否为k平面是NP完全的,从而扩展了确定1平面为NP完全的众所周知的事实。此外,我们证明了该决策问题的缺口版本是NP完全的。特别地,给定一个最多具有局部交叉数的图ķ1个或至少2 k,我们证明判定本地交叉数最多是k还是至少2 k是NP完全的。该算法的下界证明了a的不存在2-ϵ-固定的近似算法 ķ1个。此外,我们分析了图形的局部交叉数(每个边的最大交叉数)和交叉数(交叉的总数)之间有时存在的竞争关系。我们提出了与不存在的图形有关的结果,这些结果同时使图形的局部交叉数和交叉数同时最小化。

更新日期:2021-01-29
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