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arXiv 2108.00665cs.DScs.DM
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简单最优2-平面图的识别与嵌入

Recognizing and Embedding Simple Optimal 2-Planar Graphs

Henry Förster, Michael Kaufmann, Chrysanthi N. Raftopoulou

摘要:

在超平面图的区域中,即可以在边缘交叉上具有某些局部限制的图,识别问题在不同图类的密度问题之后是突出的。对于1-平面图,识别问题已经得到解决,即它在一般情况下是NP-完全的,而最优1-平面图,即具有最大密度的图,可以在线性时间内识别。对于2-平面图,图像不太完整。正如预期的那样,识别问题已被发现是NP完全的一般。本文研究简单最优2-平面图的识别问题。我们利用这样的图的组合特征,并提出了一个线性时间算法的识别和嵌入。

英文摘要:

In the area of beyond-planar graphs, i.e. graphs that can be drawn with some local restrictions on the edge crossings, the recognition problem is prominent next to the density question for the different graph classes. For 1-planar graphs, the recognition problem has been settled, namely it is NP-complete for the general case, while optimal 1-planar graphs, i.e. those with maximum density, can be recognized in linear time. For 2-planar graphs, the picture is less complete. As expected, the recognition problem has been found to be NP-complete in general. In this paper, we consider the recognition of simple optimal 2-planar graphs. We exploit a combinatorial characterization of such graphs and present a linear time algorithm for recognition and embedding.

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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