arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2103.04543cs.DScs.DM
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在线有向稀疏化子图与Steiner森林

Online Directed Spanners and Steiner Forests

Elena Grigorescu, Young-San Lin, Kent Quanrud

AI总结:

本文首次研究有向稀疏化子图和Steiner森林的在线算法,基于在线覆盖线性规划框架提出多个高效竞争算法,并给出问题特定的舍入方法。

摘要:

我们提出针对有向稀疏化子图(directed spanners)和Steiner森林的在线算法。这些问题属于由Buchbinder和Naor(MOR, 34, 2009)基于原始-对偶技术发展的在线覆盖线性规划公式的统一框架。我们的结果包括以下内容:对于成对稀疏化子图问题,其中需要被稀疏化的顶点对在线到达,我们针对一般长度图提出了一个高效的随机化$\ ilde{O}(n^{4/5})$-竞争算法,其中$n$是顶点数。对于均匀长度,我们给出了一个高效的随机化$\ ilde{O}(n^{2/3+ε})$-竞争算法,以及一个高效的确定性$\ ilde{O}(k^{1/2+ε})$-竞争算法,其中$k$是终端对的数量。这些是有向稀疏化子图的首批在线算法。在离线设置中,均匀长度下当前最佳近似比是$\ ilde{O}(n^{3/5 + ε})$,由Chlamtac、Dinitz、Kortsarz和Laekhanukit(TALG 2020)给出。对于均匀成本的有向Steiner森林问题,其中需要连接的顶点对在线到达,我们提出了一个高效的随机化$\ ilde{O}(n^{2/3 + ε})$-竞争算法。一般成本下最先进的在线算法由Chakrabarty、Ene、Krishnaswamy和Panigrahi(SICOMP 2018)给出,其竞争比为$\ ilde{O}(k^{1/2 + ε})$。在离线版本中,均匀成本下当前最佳近似比是$\ ilde{O}(n^{4/7 + ε})$,由Abboud和Bodwin(SODA 2018)给出。对Buchbinder和Naor的在线覆盖框架进行小幅修改可以得到一个带分离预言机的多项式时间原始-对偶方法,该方法先验上可能执行指数多次调用。我们将在线稀疏化子图问题和在线Steiner森林问题转化为在线覆盖问题,并以问题特定的方式进行舍入。

英文摘要:

We present online algorithms for directed spanners and Steiner forests. These problems fall under the unifying framework of online covering linear programming formulations, developed by Buchbinder and Naor (MOR, 34, 2009), based on primal-dual techniques. Our results include the following: For the pairwise spanner problem, in which the pairs of vertices to be spanned arrive online, we present an efficient randomized $\tilde{O}(n^{4/5})$-competitive algorithm for graphs with general lengths, where $n$ is the number of vertices. With uniform lengths, we give an efficient randomized $\tilde{O}(n^{2/3+ε})$-competitive algorithm, and an efficient deterministic $\tilde{O}(k^{1/2+ε})$-competitive algorithm, where $k$ is the number of terminal pairs. These are the first online algorithms for directed spanners. In the offline setting, the current best approximation ratio with uniform lengths is $\tilde{O}(n^{3/5 + ε})$, due to Chlamtac, Dinitz, Kortsarz, and Laekhanukit (TALG 2020). For the directed Steiner forest problem with uniform costs, in which the pairs of vertices to be connected arrive online, we present an efficient randomized $\tilde{O}(n^{2/3 + ε})$-competitive algorithm. The state-of-the-art online algorithm for general costs is due to Chakrabarty, Ene, Krishnaswamy, and Panigrahi (SICOMP 2018) and is $\tilde{O}(k^{1/2 + ε})$-competitive. In the offline version, the current best approximation ratio with uniform costs is $\tilde{O}(n^{4/7 + ε})$, due to Abboud and Bodwin (SODA 2018). A small modification of the online covering framework by Buchbinder and Naor implies a polynomial-time primal-dual approach with separation oracles, which a priori might perform exponentially many calls. We convert the online spanner problem and the online Steiner forest problem into online covering problems and round in a problem-specific fashion.

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。

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