超越欧拉特征:逼近一般图的格

K. Kawarabayashi, Anastasios Sidiropoulos
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引用次数: 10

摘要

图的欧拉格的计算是图论和拓扑学中的一个基本问题。Thomassen[27]证明了它是NP-hard的,Mohar[20]给出了线性时间固定参数算法。尽管有广泛的研究,欧拉属的近似性仍然是开放的。虽然不排除存在常数因子近似值,但目前最著名的上界是一个平凡的O(n/g)近似值,它遵循欧拉特征的边界。本文给出了该问题的第一个非平凡逼近算法。具体来说,我们提出了一种多项式时间算法,该算法给定欧拉属G的图G,输出G嵌入欧拉属gO(1)的曲面。结合上述的O(n/g)-近似,我们的结果也暗示了对于某些普遍常数α> 0的O(n1-α)-近似。我们的近似算法对小属图的算法设计也有启示。其中一些算法要求将图嵌入到一个小属的曲面中作为输入的一部分。我们的结果表明,即使输入图的嵌入是未知的,许多这些算法也可以实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beyond the Euler Characteristic: Approximating the Genus of General Graphs
Computing the Euler genus of a graph is a fundamental problem in graph theory and topology. It has been shown to be NP-hard by Thomassen [27] and a linear-time fixed-parameter algorithm has been obtained by Mohar [20]. Despite extensive study, the approximability of the Euler genus remains wide open. While the existence of a constant factor approximation is not ruled out, the currently best-known upper bound is a trivial O(n/g)-approximation that follows from bounds on the Euler characteristic. In this paper, we give the first non-trivial approximation algorithm for this problem. Specifically, we present a polynomial-time algorithm which given a graph G of Euler genus g outputs an embedding of G into a surface of Euler genus gO(1). Combined with the above O(n/g)-approximation, our result also implies a O(n1-α)-approximation, for some universal constant α> 0. Our approximation algorithm also has implications for the design of algorithms on graphs of small genus. Several of these algorithms require that an embedding of the graph into a surface of small genus is given as part of the input. Our result implies that many of these algorithms can be implemented even when the embedding of the input graph is unknown.
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