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Counting thin subgraphs via packings faster than meet-in-the-middle time

机译:通过填料计算薄子图比中间时间更快

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摘要

Vassilevska and Williams (STOC'09) showed how to count simple paths on k vertices and matchings on k/2 edges in ann-vertex graph in time nk/2+O(1). In the same year, two different algorithms with the same runtime were given by Koutis and Williams (ICALP'09), and Bjorklund et al. (ESA'09), via nst/2+O(1)-time algorithms for counting t-tuples of pairwise disjoint sets drawn from a given family of s-sized subsets of an n-element universe. Shortly afterwards, Alon and Gutner (TALG'10) showed that these problems have O(n st/2) and O(nk/2) lower bounds when counting by color coding. Here, we show that one can do better-we show that the "meet-in-the-middle" exponent st/2 can be beaten and give an algorithm that counts in time n0.45470382st+O(1) for t a multiple of three. This implies algorithms for counting occurrences of a fixed subgraph on k vertices and pathwidth pk in an n-vertex graph in n0.45470382k+2p+O(1) time, improving on the three mentioned algorithms for paths and matchings, and circumventing the color-coding lower bound. We also give improved bounds for counting t-tuples of disjoint s-sets for s = 2, 3, 4. Our algorithms use fast matrix multiplication. We show an argument that this is necessary to go below the meet-in-the-middle barrier.
机译:Vassilevska和Williams(STOC'09)演示了如何在时间nk / 2 + O(1)的n个顶点图中计算k个顶点上的简单路径和k / 2个边缘上的匹配。同年,Koutis和Williams(ICALP'09)以及Bjorklund等人提出了两种具有相同运行时间的不同算法。 (ESA'09)通过nst / 2 + O(1)-时间算法对从n元素宇宙的s尺寸子集的给定族得出的成对不相交集的t元组进行计数。此后不久,Alon和Gutner(TALG'10)表明,通过颜色编码进行计数时,这些问题的下限为O(n st / 2)和O(nk / 2)。在这里,我们证明一个人可以做得更好-我们证明可以击败“中间人”指数st / 2并给出一种算法,该算法将n0.45470382st + O(1)的时间计为n的倍数三。这意味着在n0.45470382k + 2p + O(1)的时间内对n个顶点图中k个顶点和路径宽度pk上的固定子图的出现进行计数的算法,改进了上述三种路径和匹配算法,并规避了颜色-编码下限。我们还为s = 2、3、4的不相交s集的t元组计数提供了改进的边界。我们的算法使用快速矩阵乘法。我们提出一个论点,认为这有必要低于中间相遇的障碍。

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