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Approximation Algorithms for Buy-at-Bulk Geometric Network Design

机译:买入批量几何网络设计的近似算法

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The buy-at-bulk network design problem has been extensively studied in the general graph model. In this paper we consider the geometric version of the problem, where all points in a Euclidean space are candidates for network nodes. We present the first general approach for geometric versions of basic variants of the buy-at-bulk network design problem. It enables us to obtain quasi-polynomial-time approximation schemes for basic variants of the buy-at-bulk geometric network design problem with polynomial total demand. Then, for instances with few sinks and low capacity links, we design very fast polynomial-time low-constant approximations algorithms.
机译:在一般图模型中广泛研究了买入批量网络设计问题。在本文中,我们考虑了问题的几何版本,其中欧几里德空间中的所有点都是网络节点的候选者。我们介绍了批量网络设计问题的基本变体几何版本的一般方法。它使我们能够获得多项式总需求的购买批量几何网络设计问题的基本变体的准多项式近似方案。然后,对于具有很少的水槽和低容量链路的情况,我们设计了非常快的多项式低常数近似算法。

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