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  • 标题:A Pseudo-Approximation for the Genus of Hamiltonian Graphs
  • 本地全文:下载
  • 作者:Yury Makarychev ; Amir Nayyeri ; Anastasios Sidiropoulos
  • 期刊名称:Theory of Computing
  • 印刷版ISSN:1557-2862
  • 电子版ISSN:1557-2862
  • 出版年度:2017
  • 卷号:13
  • 出版社:University of Chicago
  • 摘要:The genus of a graph is a basic parameter in topological graph theory that has been the subject of extensive study. Perhaps surprisingly, despite its importance, the problem of approximating the genus of a graph is very poorly understood. Thomassen (1989) showed that computing the exact genus is NP-complete, and the best known upper bound for general graphs is an O(n)O(n)-approximation that follows by Euler's characteristic.We give a polynomial-time pseudo-approximation algorithm for the orientable genus of Hamiltonian graphs. More specifically, on input a graph GG of orientable genus gg and a Hamiltonian path in GG, our algorithm computes a drawing on a surface of either orientable or non-orientable genus O(g7)O(g7).
  • 关键词:approximation algorithms; graph genus; Hamiltonian graphs
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