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A cycle augmentation algorithm for minimum cost multicommodity flows on a ring

机译:环上成本最小的多商品流的循环增强算法

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Minimum cost multicommodity flows are a useful model for bandwidth allocation problems. These problems ale arising more frequently as regional service providers wish to carry their traffic over some national core network. We describe a simple and practical combinatorial algorithm to find a minimum cost multicommodity flow in a ring network. Apart from 1 and 2-commodity flow problems, this seems to be the only such "combinatorial augmentation algorithm" for a version of exact mincost multicommodity flow. The solution it produces is always half-integral, and by increasing the capacity of each link by one, we may also find an integral routing of no greater cost. The "pivots" in the algorithm are determined by choosing an epsilon > 0, increasing and decreasing sets of variables, and adjusting these variables up or down accordingly by E, Ln this sense, it generalizes the cycle cancelling algorithms for (single source) mincost flow. Although the algorithm is easily stated, proof of its correctness and polynomially bounded running time are more complex. (C) 2001 Elsevier Science B.V. All lights reserved. [References: 14]
机译:最低成本的多商品流是解决带宽分配问题的有用模型。由于区域服务提供商希望通过某些国家核心网络承载其业务,因此这些问题的发生频率更高。我们描述了一种简单实用的组合算法,以在环形网络中找到最低成本的多商品流。除了1和2商品流问题之外,对于确切的最小成本多商品流版本而言,这似乎是唯一的此类“组合增强算法”。它产生的解决方案始终是半集成的,通过将每个链路的容量增加一个,我们可能会发现集成路由的成本更高。算法中的“枢轴”是通过选择epsilon> 0,增加和减少变量集,然后通过E,Ln相应地向上或向下调整这些变量来确定的,从这个意义上讲,它概括了(单源)最小成本的循环取消算法。流。尽管该算法很容易说明,但其正确性和多项式有限运行时间的证明更为复杂。 (C)2001 Elsevier Science B.V.保留所有照明。 [参考:14]

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