A new approach to the maximum flow problem
STOC '86 Proceedings of the eighteenth annual ACM symposium on Theory of computing
A new approach to the maximum-flow problem
Journal of the ACM (JACM)
Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
An auction algorithm for the max-flow problem
Journal of Optimization Theory and Applications
An analysis of the highest-level selection rule in the preflow-push max-flow algorithm
Information Processing Letters
Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems
Journal of the ACM (JACM)
Network Flows and Matching: First DIMACS Implementation Challenge
Network Flows and Matching: First DIMACS Implementation Challenge
Analysis of Preflow Push Algorithms for Maximum Network Flow
Proceedings of the Eighth Conference on Foundations of Software Technology and Theoretical Computer Science
Two-Level Push-Relabel Algorithm for the Maximum Flow Problem
AAIM '09 Proceedings of the 5th International Conference on Algorithmic Aspects in Information and Management
Solving maximum flow problems on real-world bipartite graphs
Journal of Experimental Algorithmics (JEA)
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Algorithms for the maximum flow problem can be grouped into two categories: augmenting path algorithms [Ford LR, Fulkerson DR. Flows in networks. Princeton University Press: Princeton, NJ: 1962], and preflow push algorithms [Goldberg AV, Tarjan RE. A new approach to the maximum flow problem. In: Proceedings of the 18th annual ACM symposium on theory of computing, 1986; p. 136-46]. Preflow push algorithms are characterized by a drawback known as ping pong effect. In this paper we present a technique that allows to avoid such an effect and can be considered as an approach combining the augmenting path and preflow push methods. An extended experimentation shows the effectiveness of the proposed approach.