Computer scientists at ETH Zurich have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum ...

Researchers at EPFL and the University of Geneva have developed a new algorithm that cracks an outstanding challenge in ...

With Kin's algorithm, all important network flow problems, including maximum flow and minimum cost problems, can now be treated as special cases of the minimum cost flow problem.

Richard M. Karp, Rajeev Motwani, Noam Nisan, Probabilistic Analysis of Network Flow Algorithms, Mathematics of Operations Research, Vol. 18, No. 1 (Feb., 1993), pp. 71-97 ...

The maximum-flow problem, or max flow, is one of the most basic problems in computer science. MIT researchers, together with colleagues at Yale and the University of Southern California, have ...

Introduction to mathematical optimization and its applications, linear optimization models, Simplex Algorithm, sensitivity analysis, mixed-integer optimization models, branch-and-bound algorithm, ...

We develop a new approach to solving minimum-cost circulation problems. Our approach combines methods for solving the maximum flow problem with successive approximation techniques based on cost ...

To tackle the problem, researchers have traditionally used a maximum-flow algorithm, also known as "max flow," in which a network is represented as a graph with a series of nodes, known as ...