New Algorithm Can Dramatically Streamline Solutions to the ‘Max Flow’ Problem Research could boost the efficiency of even huge networks like the Internet.

Kin's algorithm can quickly calculate the optimal transportation flow for all kinds of networks, including not only the transportation of goods by rail and road, but also water and the Internet.

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 ...

Produced as part of the Work Package 8 of the PRACE 1IP Project, the most recent paper is entitled: Experiences with Parallel Multi-threaded Network Maximum Flow Algorithm. The problem of computing ...

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 ...

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 ...

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 ...

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 ...