A team of researchers led by Rasmus Kinn of the Swiss Federal Institute of Technology in Zurich has created a near-perfect algorithm to calculate the maximum transport flows at the lowest cost in any ...

The Edmonds-Karp algorithm uses a BFS (Breadth-First Search) to find, in each iteration, the shortest augmenting path between the source and the sink. The algorithm works as follows: In each iteration ...

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 transport ...

This project is a Python implementation of the Maximum Flow problem, specifically designed to handle graphs that have capacities on both edges and nodes (vertices). This was developed for an ...

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 ...

Researchers from MIT, Yale University, and the University of Southern California have developed what they are labeling the "fastest known algorithm" for solving the problem of "maximum flow." The max ...

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...

Abstract: For a unicast/multicast session, network coding is generally implemented via random coding and broadcasting at intermediate nodes, an especially favorable solution in wireless networks. The ...