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 ...

Algorithm promises to greatly streamline solutions to the 'max flow' problem. Research could boost the efficiency even of huge networks like the Internet. Finding the most efficient way to ...

New Algorithm from MIT, Yale, and USC Tackles Max Flow Challenge By Dian Schaffhauser 01/09/14 Researchers from MIT, Yale University, and the University of Southern California have developed what they ...

An algorithm promises to greatly streamline solutions to the "max flow" problem.

To further cut processing time, the algorithm can identify bottlenecks in a network, which max flow algorithms typically do not do.

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.

A souped-up algorithm for solving the max flow problem could help find the best paths for moving goods across countries or routing information on the internet ...

As an example of unfairness, the "max-flow" algorithm charges vehicles closer to the main power source faster than those further away, which the researchers expect will not be socially acceptable.

Called the "max flow problem," the question of how to efficiently route traffic popped onto the scene in the 1950s and has nagged network operators of all types ever since.

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 ...