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A new approach to the maximum flow problem

by Andrew V. Goldberg, Robert E. Tarjan - JOURNAL OF THE ACM , 1988
"... All previously known efficient maximum-flow algorithms work by finding augmenting paths, either one path at a time (as in the original Ford and Fulkerson algorithm) or all shortest-length augmenting paths at once (using the layered network approach of Dinic). An alternative method based on the pre ..."
Abstract - Cited by 672 (33 self) - Add to MetaCart
on the preflow concept of Karzanov is introduced. A preflow is like a flow, except that the total amount flowing into a vertex is allowed to exceed the total amount flowing out. The method maintains a preflow in the original network and pushes local flow excess toward the sink along what are estimated

Chapter 1 Network Flow- COMP 5703 Course Note Update

by Kenzie Macneil
"... The Push-Relabel, or Preflow-Push, Maximum-Flow algorithm was originally developed by Andrew V. Goldberg and Robert E. Tarjan in the mid-to-late 1980s, [2, 3]. This Push-Relabel algorithm is unlike the previous Ford-Fulkerson and Edmonds-Karp algorithms which use the concept of an augmenting path to ..."
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The Push-Relabel, or Preflow-Push, Maximum-Flow algorithm was originally developed by Andrew V. Goldberg and Robert E. Tarjan in the mid-to-late 1980s, [2, 3]. This Push-Relabel algorithm is unlike the previous Ford-Fulkerson and Edmonds-Karp algorithms which use the concept of an augmenting path
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