中文

Ramsey数反例检验与单顶点扩展的$s$和$t$线性界

机器学习 2024-11-08 v1

摘要

Ramsey数R(s,t)R(s,t)是使得所有大小为nn的图都包含大小为ss的团或大小为tt的独立集的最小整数nnR(s,t,n)\mathcal{R}(s,t,n)是给定nn时不具有该性质的所有反例图的集合。我们证明,若大小为n+1n+1的图Gn+1G_{n+1}R(s,t,n)\mathcal{R}(s,t,n)中拥有max{s,t}+1\max\{s,t\}+1个子图,则Gn+1G_{n+1}属于R(s,t,n+1)\mathcal{R}(s,t,n+1)。基于此,我们引入了单顶点扩展和反例检验算法,其运行时间由sstt线性界定。我们通过验证给定当前集合R(4,6,35)\mathcal{R}(4,6,35)R(5,5,42)\mathcal{R}(5,5,42)时,R(4,6,36)\mathcal{R}(4,6,36)R(5,5,43)\mathcal{R}(5,5,43)为空,来证明这些算法的有效性。

关键词

引用

@article{arxiv.2411.04266,
  title  = {Generative Discrete Event Process Simulation for Hidden Markov Models to Predict Competitor Time-to-Market},
  author = {Nandakishore Santhi and Stephan Eidenbenz and Brian Key and George Tompkins},
  journal= {arXiv preprint arXiv:2411.04266},
  year   = {2024}
}