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 ...

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, ...

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.

For the maximum flow problem there are a number of very efficient algorithms that have been developed over the last decade. On the other hand, the algorithm that is most commonly used by the mining ...

The maximum-flow problem, or max flow, is one of the most basic problems in computer science: first solved during preparations for the Berlin airlift, it’s a component of many logistical ...

Take a souped-up algorithm for a test drive. Finding the optimal route for moving stuff through a network is called the max flow problem, because you want the highest quantity flowing as quickly ...

Previous max-flow algorithms have come at the problem one edge, or path, at a time, Kelner says. So for example, when sending items from node A to node B, the algorithms would transmit some of the ...