Fully Dynamic Matching: Beating 2-Approximation in Δϵ Update Time

Fully Dynamic Matching: Beating 2-Approximation in Δϵ Update Time
复制标题

全动态匹配:在 Δϵ 更新时间内击败 2 近似

DOI:
10.1137/1.9781611975994.152
复制
发表时间:
2019
期刊:
ArXiv
影响因子:
--
通讯作者:
V. Mirrokni
V. Mirrokni
中科院分区:
--
文献类型:
--
作者:
Soheil Behnezhad;Jakub Lacki;V. Mirrokni

文献摘要

参考文献

被引文献

相似文献

在完全动态的图表中,我们知道如何非常快速地维持最大匹配的2个标记,也就是说,在Polyrogarithmic更新时间或更长的时间内。在鲜明的对比和大量研究中,所有已知的算法都保持$ 2- \ omega(1)$近似匹配的速度较慢。尤其是了解这一差距,确定算法的最佳更新时间提供了比2近似匹配更好的匹配是一个主要的开放问题。 在本文中,我们表明,对于任何常数$ \ epsilon> 0 $,有一种随机算法,具有很高的概率可保持$ 2- \ omega(1)$在最差案例中的全动态图中的最大匹配度近似于最大匹配更新时间$ o(\ delta^{\ epsilon}+\ text {polylog} n)$,其中$ \ delta $是最大值 程度。 以前,最快的完全动态匹配算法可提供比2近似更好的近似值的$ O(m^{1/4})$更新时间[Bernstein and Stein,Soda,2016年]。众所周知,具有更新时间$ O(N^\ epsilon)$的更快算法,但仅用于维持两部分图中匹配的大小(而不是边缘)[Bhattacharya,Henzinger和Nanongkai,STOC 2016]。
In fully dynamic graphs, we know how to maintain a 2-approximation of maximum matching extremely fast, that is, in polylogarithmic update time or better. In a sharp contrast and despite extensive studies, all known algorithms that maintain a $2-\Omega(1)$ approximate matching are much slower. Understanding this gap and, in particular, determining the best possible update time for algorithms providing a better-than-2 approximate matching is a major open question. In this paper, we show that for any constant $\epsilon > 0$, there is a randomized algorithm that with high probability maintains a $2-\Omega(1)$ approximate maximum matching of a fully-dynamic general graph in worst-case update time $O(\Delta^{\epsilon}+\text{polylog } n)$, where $\Delta$ is the maximum degree. Previously, the fastest fully dynamic matching algorithm providing a better-than-2 approximation had $O(m^{1/4})$ update-time [Bernstein and Stein, SODA 2016]. A faster algorithm with update-time $O(n^\epsilon)$ was known, but worked only for maintaining the size (and not the edges) of the matching in bipartite graphs [Bhattacharya, Henzinger, and Nanongkai, STOC 2016].
具有多对数更新时间的全动态最大独立集
DOI: 10.1109/focs.2019.00032
发表时间: 2019
期刊: {FOCS} 2019
影响因子: --
作者:
Behnezhad, Soheil;Derakhshan, Mahsa;Hajiaghayi, MohammadTaghi;Stein, Cliff;Sudan, Madhu
通讯作者: Sudan, Madhu