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 ...

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 ...

Now MIT researchers, with colleagues at Yale and the University of Southern California, have demonstrated the first improvement of the algorithm in 10 years. The max-flow problem is, roughly ...

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 ...

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 ...

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 ...

Today, optimization problems are usually solved using one of a number of maximum-flow algorithms, often shortened as max-flow. Max flow models a network by constructing a graph that represents all ...

thanks to a superfast new algorithm. The breakthrough offers a dramatically faster solution to a problem that has been plaguing computer scientists since the 1950s: maximum flow, or how to achieve ...

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 ...