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More Algorithms for All-Pairs Shortest Paths in Weighted Graphs

机译:加权图中所有对最短路径的更多算法

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In the first part of the paper, we reexamine the all-pairs shortest path (APSP) problem and present a new algorithm with running time O(n~3 log~3 log n/ log~2 n), which improves all known algorithms for general real-weighted dense graphs. In the second part of the paper, we use fast matrix multiplication to obtain truly subcubic APSP algorithms for a large class of “geometrically weighted” graphs, where the weight of an edge is a function of the coordinates of its vertices. For example, for graphs embedded in Euclidean space of a constant dimension d, we obtain a time bound near O(n~(3?(3?ω)/(2d+4))), where ω
机译:在本文的第一部分中,我们重新检查了所有对最短路径(APSP)问题,并提出了一种运行时间为O(n〜3 log〜3 log n / log〜2 n)的新算法,该算法改进了所有已知算法用于一般的实加权稠密图。在本文的第二部分中,我们使用快速矩阵乘法为一大类“几何加权”图获得真正的亚三次APSP算法,其中边的权重是其顶点坐标的函数。例如,对于嵌入维数为d的欧几里得空间中的图,我们在O(n〜(3?(3?ω)/(2d + 4)))附近获得一个时间界,其中ω

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