过高估计电弧容量时网络的最小成本流

Q4 Mathematics
L. Ciupala, Romania Brasov, A. Deaconu
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引用次数: 2

摘要

在许多情况下,最低成本流是解决现实世界问题的方法。有时,在这些问题中,可能会发生微小的数据变化,这些变化将导致网络中的相应变化,其中实际问题被建模为最小成本流动问题。例如,电弧的容量可能随着时间的推移而增加或减少。本文研究了给定电弧容量减小给定值a的情况。我们关注的是在与初始网络G不同的网络中确定最小成本流的问题,在初始网络G中,最小成本流已经确定,仅通过给定弧(k,l)的容量来确定,该弧已经减少了一个单位。我们开发了一种算法,从原始网络中的最小成本流开始,在O(anm)时间内在修改后的网络中建立最小成本流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimum cost flow in a network with an overestimated arc capacity
There are many situations in which minimum cost flows are solutions to real world problems. Sometimes, in these problems, minor data changes may occur and these will lead to corresponding changes in the networks, in which the practical problems are modeled as minimum cost flow problems. For instance, the capacity of an arc may increase or decrease in time. In this paper, the case in which the capacity of a given arc decreases by a given value a is studied. We focus on the problem of finding a minimum cost flow in a network that differs from the initial network G , in which a minimum cost flow has been already determined, only by the capacity of a given arc ( k, l ) which has been decreased by a units. We develop an algorithm for establishing a minimum cost flow in the modified network in O ( anm ) time, starting from the minimum cost flow in the original network.
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CiteScore
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