超越连通性的非随机化:近对数空间中的无向拉普拉斯系统

Jack Murtagh, Omer Reingold, Aaron Sidford, S. Vadhan
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引用次数: 20

摘要

我们给出了一个确定性的\tilde{O} (\log n)空间算法,用于近似求解由无向图的拉普拉斯算子给出的线性系统,从而也近似于无向图的命中时间、通勤时间和逃逸概率。此前,已知此类系统可通过使用O(\log n)空间的随机算法求解(Doron, Le Gall和Ta-Shma, 2017),因此可通过使用O(\log ^{3/} 2n)空间的确定性算法求解(Saks和Zhou, FOCS 1995和JCSS 1999)。我们的算法结合了时间效率的拉普拉斯解算器的思想(Spielman和Teng, STOC 04;Peng和Spielman, STOC 14),其思想用于表明无向S-T连接是在确定性对数空间(Reingold, STOC 05和JACM 08;Rozenman and Vadhan, RANDOM 05)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Derandomization Beyond Connectivity: Undirected Laplacian Systems in Nearly Logarithmic Space
We give a deterministic \tilde{O}(\log n)-space algorithm for approximately solving linear systems given by Laplacians of undirected graphs, and consequently also approximating hitting times, commute times, and escape probabilities for undirected graphs. Previously, such systems were known to be solvable by randomized algorithms using O(\log n) space (Doron, Le Gall, and Ta-Shma, 2017) and hence by deterministic algorithms using O(\log^{3/2} n) space (Saks and Zhou, FOCS 1995 and JCSS 1999).Our algorithm combines ideas from time-efficient Laplacian solvers (Spielman and Teng, STOC 04; Peng and Spielman, STOC 14) with ideas used to show that Undirected S-T Connectivity is in deterministic logspace (Reingold, STOC 05 and JACM 08; Rozenman and Vadhan, RANDOM 05).
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