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 ...

Abstract: Maximum flow algorithms hold significant importance in various industries, including communication networks, transportation and logistics, and more. For example, they can find supply chain ...

Finding the most efficient way to transport items across a network like the U.S. highway system or the Internet is a problem that has taxed mathematicians and computer scientists for decades. To ...

The European PRACE organization has published a series of excellent whitepapers on scalable algorithms. Produced as part of the Work Package 8 of the PRACE 1IP Project, the most recent paper is ...

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 ...

Mathematics of Operations Research, Vol. 18, No. 1 (Feb., 1993), pp. 71-97 (27 pages) This paper is concerned with the design and probabilistic analysis of algorithms for the maximum-flow problem and ...

Abstract: This paper presents an asynchronous distributed algorithm for solving the maximum flow problem which is based on the preflow-push approach of Golberg-Tarjan. Each node in graph initially ...

In a breakthrough that brings to mind Lucky Luke—the man who shoots faster than his shadow—Rasmus Kyng and his team have developed a superfast algorithm that looks set to transform an entire field of ...

The question of how best to transport items across a network–be that traffic over the Internet, or cars over the U.S. highway system–is one that has challenged mathematicians and computer scientists ...