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Tight Approximation Algorithms for Bichromatic Graph Diameter and Related Problems

机译:双色图直径的紧逼近算法及相关问题

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Some of the most fundamental and well-studied graph parameters are the Diameter (the largest shortest paths distance) and Radius (the smallest distance for which a "center" node can reach all other nodes). The natural and important ST-variant considers two subsets S and T of the vertex set and lets the ST-diameter be the maximum distance between a node in S and a node in T, and the ST-radius be the minimum distance for a node of S to reach all nodes of T. The bichromatic variant is the special case in which S and T partition the vertex set. In this paper we present a comprehensive study of the approximability of ST and Bichromatic Diameter, Radius, and Eccentricities, and variants, in graphs with and without directions and weights. We give the first nontrivial approximation algorithms for most of these problems, including time/accuracy trade-off upper and lower bounds. We show that nearly all of our obtained bounds are tight under the Strong Exponential Time Hypothesis (SETH), or the related Hitting Set Hypothesis. For instance, for Bichromatic Diameter in undirected weighted graphs with m edges, we present an O~(m^{3/2}) time 5/3-approximation algorithm, and show that under SETH, neither the running time, nor the approximation factor can be significantly improved while keeping the other unchanged.
机译:一些最基本和研究最充分的图形参数是直径(最大的最短路径距离)和半径(最小的“中心”节点可以到达所有其他节点的距离)。自然且重要的ST变量考虑了顶点集的两个子集S和T,并令ST直径为S中的节点与T中的节点之间的最大距离,而ST半径为节点的最小距离S到达T的所有节点。双色变体是S和T划分顶点集的特殊情况。在本文中,我们在带方向图和不带方向图和权重图的情况下,对ST和双色直径,半径和偏心距以及变体的近似性进行了全面的研究。对于这些问题中的大多数,我们给出了第一个非平凡的近似算法,包括时间/精度折衷的上限和下限。我们证明,在强指数时间假设(SETH)或相关的命中集假设下,我们几乎所有获得的边界都是紧的。例如,对于具有m个边的无向加权图中的双色直径,我们提出了O〜(m ^ {3/2})时间5 / 3-近似算法,并表明在SETH下,运行时间或近似都没有保持其他因素不变的同时,可以显着改善该因素。

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