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 ...

Traditionally, Kelner explains, algorithms for calculating max flow would consider one path through a network at a time. If the path had unused capacity, the algorithm would simply send more stuff ...

The new algorithm is “absurdly fast,” said Daniel Spielman of Yale University. “I was actually inclined to believe … algorithms this good for this problem would not exist.” Maximum flow has been ...

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.

This algorithm solves the minimum-cost maximum-flow problem for networks that incrementally change as new connections are added. Furthermore, in a second paper accepted by the IEEE Symposium on ...

Researchers have devised an "absurdly fast" algorithm to solve the problem of finding the fastest flow through a network.

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 ...

We present the results of a computational investigation of the pseudoflow and push-relabel algorithms for the maximum flow and minimum s-t cut problems. The two algorithms were tested on several ...

Previous max-flow algorithms have come at the problem one edge, or path, at a time, Kelner says.

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