arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1202.2624math.COcs.DMcs.DS
收藏

稠密图中求完全图子图的线性时间算法

A linear-time algorithm for finding a complete graph minor in a dense graph

Vida Dujmović, Daniel J. Harvey, Gwenaël Joret, Bruce Reed, David R. Wood

摘要:

设g(t)是使每个平均度为d(G)\geq g(t)的图G含有一个K_{t} -子式的最小数.这样的函数是已知存在的,如最初由Mader所示。Kostochka和Kristason独立地证明了g(t)\in Θ(t*sqrt{log t}).本文证明了对所有固定的ε> 0和固定足够大的t \geq t(ε),如果d(G)\geq(2+ε)g(t),则我们可以在线性时间内找到这个K_{t} -子式.这改进了Reed和Wood在d(G)\geq 2^{t-2}时给出的线性时间算法的结果。

英文摘要:

Let g(t) be the minimum number such that every graph G with average degree d(G) \geq g(t) contains a K_{t}-minor. Such a function is known to exist, as originally shown by Mader. Kostochka and Thomason independently proved that g(t) \in Θ(t*sqrt{log t}). This article shows that for all fixed ε> 0 and fixed sufficiently large t \geq t(ε), if d(G) \geq (2+ε)g(t) then we can find this K_{t}-minor in linear time. This improves a previous result by Reed and Wood who gave a linear-time algorithm when d(G) \geq 2^{t-2}.

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。

↑