几何二方匹配在 NC 中

Sujoy Bhore, Sarfaraz Equbal, Rohit Gurjar
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摘要

在这项工作中,我们研究了欧氏最小权重完全匹配(EWPM)问题的并行复杂性。这里,我们的图是在 $\mathbb{R}^2$ 中两组点 $A$ 和 $B$ 上的完整双态势图 $G$,每条边的权重是对应点之间的欧氏距离。已知一般双态势图上的加权完美匹配问题属于 RNC [Mulmuley, Vazirani, and Vazirani, 1987] 和准 NC [Fenner,Gurjar, and Thierauf, 2016]。这两个结果都只在权重为 $O(\log n)$ 位时有效。如何证明该问题是 NC 问题,是一个长期悬而未决的问题。首先,我们证明对于 EWPM,需要线性比特数的近似值才能区分最小权重完美匹配和其他完美匹配。接下来,我们证明允许最多$\frac{1}{poly(n)}$加性误差的 EWPM 问题是 NC 问题。
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Geometric Bipartite Matching is in NC
In this work, we study the parallel complexity of the Euclidean minimum-weight perfect matching (EWPM) problem. Here our graph is the complete bipartite graph $G$ on two sets of points $A$ and $B$ in $\mathbb{R}^2$ and the weight of each edge is the Euclidean distance between the corresponding points. The weighted perfect matching problem on general bipartite graphs is known to be in RNC [Mulmuley, Vazirani, and Vazirani, 1987], and Quasi-NC [Fenner, Gurjar, and Thierauf, 2016]. Both of these results work only when the weights are of $O(\log n)$ bits. It is a long-standing open question to show the problem to be in NC. First, we show that for EWPM, a linear number of bits of approximation is required to distinguish between the minimum-weight perfect matching and other perfect matchings. Next, we show that the EWPM problem that allows up to $\frac{1}{poly(n)}$ additive error, is in NC.
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