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An I/O Efficient Algorithm for Minimum Spanning Trees

机译:最小跨越树的I / O高效算法

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An O(Sort(E)·log log_(E/V) B) I/Os algorithm for computing a minimum spanning tree of a graph G = (V, E) is presented, where Sort(E) = (E/B)log_(M/B)(E/B), M is the main memory size, and B is the block size. This improves on the previous bound of O(Sort(E)·log log(VB/E)) I/Os by Arge et al. for all values of V, E and B, for which I/O optimality is still open. In particular, our algorithm matches the lowerbound Ω(E/V·Sort(V)), when E/V ≥ B~∈ for a constant ∈ > 0, an O(log log B) factor improvement over the algorithm of Arge et al. Our algorithm can compute the connected components too, for the same number of I/Os, which is an improvement on the best known upper bound.
机译:o(sort(e)·log log_(e / v)b)I / O算法用于计算图形G =(v,e)的最小生成树,其中排序(e)=(e / b )log_(m / b)(e / b),m是主内存大小,b是块大小。这改善了ORGE等人的o的先前界限(Sort(e)·log log(vb / e))I / O.对于V,E和B的所有值,I / O最优性仍然是开放的。特别是,我们的算法与恒定∈> 0的E /V≥B〜∈时,我们的算法匹配了下行ω(E / V·sort(v)),通过ARGE等的算法改进O(log log b)因子改进al。我们的算法也可以计算连接的组件,对于相同数量的I / O,这是对最知名的上限的改进。

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