一般图的匹配问题属于准nc问题

O. Svensson, Jakub Tarnawski
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引用次数: 50

摘要

我们证明了一般图的完美匹配问题是准nc的。也就是说,我们给出了一个在n^{O(\log^2 n)}个处理器上运行时间为O(\log^3 n)的确定性并行算法。该结果是通过对Mulmuley, Vazirani和Vazirani[1987]在经典论文中引入的完美匹配隔离引理的非随机化来获得的,从而获得了随机化NC算法。我们的证明扩展了Fenner, Gurjar和Thierauf[2016]的框架,他们在二部图的特殊情况下证明了类似的结果。与这种设置相比,由于一般图中完美匹配的结构明显更复杂,因此需要一些新的成分。特别是,我们的证明在很大程度上依赖于完美匹配多面体面的层流结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Matching Problem in General Graphs Is in Quasi-NC
We show that the perfect matching problem in general graphs is in Quasi-NC. That is, we give a deterministic parallel algorithm which runs in O(\log^3 n) time on n^{O(\log^2 n)} processors. The result is obtained by a derandomization of the Isolation Lemma for perfect matchings, which was introduced in the classic paper by Mulmuley, Vazirani and Vazirani [1987] to obtain a Randomized NC algorithm.Our proof extends the framework of Fenner, Gurjar and Thierauf [2016], who proved the analogous result in the special case of bipartite graphs. Compared to that setting, several new ingredients are needed due to the significantly more complex structure of perfect matchings in general graphs. In particular, our proof heavily relies on the laminar structure of the faces of the perfect matching polytope.
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