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New algorithms for maximum disjoint paths based on tree-likeness

机译:基于树立形象的最大不相交路径的新算法

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We study the classical NP-hard problems of finding maximum-size subsets from given sets of k terminal pairs that can be routed via edge-disjoint paths (MaxEDP) or node-disjoint paths (MaxNDP) in a given graph. The approximability of MaxEDP/MaxNDP is currently not well understood; the best known lower bound is 2(Omega(root log n)), assuming NP not subset of DTIME(n(O(log n))). This constitutes a significant gap to the best known approximation upper bound of O(root n) due to Chekuri et al. (Theory Comput 2: 137-146, 2006), and closing this gap is currently one of the big open problems in approximation algorithms. In their seminal paper, Raghavan and Thompson (Combinatorica 7(4): 365-374, 1987) introduce the technique of randomized rounding for LPs; their technique gives an O(1)-approximation when edges or nodes) may be used by O(log n/log log n) paths. In this paper, we strengthen the fundamental results above. We provide new bounds formulated in terms of the feedback vertex set number r of a graph, which measures its vertex deletion distance to a forest. In particular, we obtain the following results:
机译:我们研究了从给定的K终端对中查找最大大小子集的经典NP难题,其可以通过给定图中的边缘不相交的路径(MAXEDP)或节点不相交路径(MAXNDP)路由。 MaxEDP / MAXNDP的近似性目前尚不清楚;假设NP不是DTime的子集(n(log n)))假设np,最着名的下限为2(omega(root log n))。由于Chekuri等人,这构成了O(根N)的最着名的近似上限的显着间隙。 (理论计算2:137-146,2006),结束该差距是目前近似算法中的大打开问题之一。在他们的精英纸上,Raghavan和Thompson(Combinatorica 7(4):365-374,1987)介绍了随机舍入的LPS;当O(log n / log log n)路径可以使用时,它们的技术给出了o(1) - 何时可以使用在本文中,我们加强了上述基本结果。我们提供了在图表的反馈顶点集数R方面配制的新界限,该图是对森林的顶点删除距离测量其顶点删除距离。特别是,我们获得以下结果:

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