排除未成年人,网络分解,和多商品流动

P. Klein, Serge A. Plotkin, Satish Rao
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引用次数: 240

摘要

在本文中,我们证明了给定一个图和参数6和r,我们可以找到K,,。次要或边缘切割尺寸为0 (mT/6),其去除产生弱直径0 (T-26)的成分;即,该分量中的每对节点在原图中的距离为0(r26)。利用这一引理,我们改进了具有禁止小次元的图中商品流的最大流量比的已知边界。在一般图中,我们知道,对于均匀需求情况(每对节点之间都有单位需求商品的情况),比率为O(log k),对于任意需求情况,比率为0(log2k),其中k是商品的数量。在本文中,我们证明了对于不包括任何固定图作为次要图的图(例如平面图或有界格图),对于均匀需求情况的比率为O(1),对于任意需求情况的比率为O(log k)。对于这样的图,我们的方法产生具有与上述比率匹配的性能界限的控制比切割近似算法。对于np完全问题的各种近似算法来说,这种切量的计算是一个基本步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Excluded minors, network decomposition, and multicommodity flow
In this paper we show that, given a graph and parameters 6 and r, we can find either a K,,. minor or an edge-cut of size O(mT/6) whose removal yields components of weak diameter O(T-26); i.e., every pair of nodes in such a component are at distance 0(r26) in the original graph. Using this lemma, we improve the best known bounds for the rein-cut max-flow ratio for mukicommodity flows in graphs with forbidden small minors. In general graphs, it was known that the ratio is O(log k) for the uniform-demand case (the case where there is a unit-demand commodity between every pair of nodes), and that the ratio is 0(log2 k) for arbitrary demands, where k is the number of commodities. In this paper we show that for graphs excluding any fixed graph as a minor (e.g. planar graphs or boundedgenus graphs), the ratio is O(1) for the uniform-demand case and O(log k) for the arbitrary demand case. For such graphs, our method yields rein-ratio cut approximation algorithms with performance bounds that match the above ratios. Computation of such cuts is a basic step for a variety of approximation algorithms for NP-complete problems.
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