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 ...

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 ...

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 ...

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 ...

Previous maximum flow algorithms made steady and incremental advances, but they still took longer to find the optimal flow than to process the network data. But the new research, presented on June ...

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 ...

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 ...

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