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Parametric Power Supply Networks

机译:参数电源网络

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摘要

Suppose that each vertex of a graph G is either a supply vertex or a demand vertex and is assigned a supply or a demand. All demands and supplies are nonnegative constant numbers in a steady network, while they are functions of a variable λ in a parametric network. Each demand vertex can receive "power" from exactly one supply vertex through edges in G. One thus wishes to partition G to connected components by deleting edges from G so that each component has exactly one supply vertex whose supply is at least the sum of demands in the component. The "partition problem" asks whether G has such a partition. If G has no such partition, one wishes to find the maximum number r~*, 0≤r~*<1, such that G has such a partition when every demand is reduced to r~* times the original demand. The "maximum supply rate problem" asks to compute r*. In this paper, we deal with a network in which G is a tree, and first give a polynomial-time algorithm for the maximum supply rate problem for a steady tree network, and then give an algorithm for the partition problem on a parametric tree network, which takes pseudo-polynomial time if all the supplies and demands are piecewise linear functions of λ.
机译:假设图G的每个顶点是供应顶点或需求顶点,并被分配了供应或需求。在稳定网络中,所有需求和供给都是非负常数,而在参数网络中,它们都是变量λ的函数。每个需求顶点可以通过G中的边沿从正好一个供应点接收“功率”。因此,一个需求点希望通过删除G中的边来将G划分为相连的组件,以便每个组件都具有一个正好供应至少其需求总和的供应点。在组件中。 “分区问题”询问G是否具有这样的分区。如果G没有这样的划分,则希望找到最大数r〜*,0≤r〜* <1,这样,当每个需求减少到原始需求的r〜*倍时,G具有这样的划分。 “最大供应率问题”要求计算r *。在本文中,我们处理一个以G为树的网络,首先给出用于稳定树网络的最大供应率问题的多项式时间算法,然后给出用于参数树的划分问题的算法。 ,如果所有供求都是λ的分段线性函数,则将花费伪多项式时间。

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