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A parallel approach for obtaining maximum flow in a network

机译:用于获得网络中最大流量的并行方法

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Computing flow in a directed graph is a fundamental problem to which other programs can be reduced. The objective associated with the flow networks problem is to maximize the flow through the network. So it is usually studied within the field of Optimization. A parallel approach for obtaining maximum flow in a network is presented here. The concept of layered network is used here. The algorithm proceeds in two passes, forward and backward passes. Each node in a layer are processed in parallel. The time complexity of the algorithm is analyzed to be O(n2logkn).
机译:指向图中的计算流是可以减少其他程序的基本问题。与流网络问题相关的目标是通过网络最大化流量。因此通常在优化领域中研究。这里给出了一种用于获得网络中的最大流的并行方法。这里使用分层网络的概念。该算法在两次通过,前向后通过。层中的每个节点并行处理。分析了算法的时间复杂性为O(n2logkn)。

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