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Network flows: theory, algorithms, and applications James B. Orlin, Ravindra K. Ahuja, Thomas L. Magnanti
Publisher: Prentice Hall

Gain knowledge & impart new skills. Network Flows: Theory, Algorithms, and Applications. Ɯ�大流问题之增光路径算法的比较：http://blog.csdn.net/fengchaokobe/article/details/7584781. Ahuja, Department of industrial and systems engineering. ŏ�考文献： [1] Ravindra K. Title: Distributed Optimization With Local Domains: Applications in MPC and Network Flows. AHUJA Department of Industrial & Management Engineering Indian Institute of Technology, Kanpur. Knowledge Hub for Students & Avid learners. Network Flows: Theory, Algorithms, and Applications Ravindra K. Authors: João Abstract: In this paper we consider a network with $P$ nodes, where each node has exclusive access to a local cost function. We apply our algorithm to model predictive control (MPC) and to network flow problems and show, through experiments on large networks, that our proposed algorithm requires less communications to converge than prior algorithms.