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 ...

Like a Porsche racing a horse-drawn carriage The ETH Zurich researchers have thus developed what is, in theory, the fastest possible network flow algorithm.

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 ...

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 ...

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 ...

The algorithm developed by Kelner and his four colleagues chooses to solve the max-flow problem by analyzing all potential paths at the same time. According to university coverage of the technique, ...

We develop several algorithms for the simple equal flow problem-the network simplex algorithm, the parametric simplex algorithm, the combinatorial parametric algorithm, the binary search algorithm, ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.