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: Efficient retrieval of replicated data from multiple disks is a challenging problem. Traditional retrieval techniques assume that replication is done at a single site using homogeneous disk ...

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 ...

This repo contains the code for computing the maximum flow of a flow network using the Edmonds-Karp implementation of Ford-Fulkerson. It also has an application of the max flow problem called "The ...

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 ...

There was an error while loading. Please reload this page. Dinic’s Algorithm Visualizer 🚀: An interactive tool to visualize Dinic’s Algorithm for solving the ...

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 ...

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: Maximum-flow algorithms are used to find spam sites, build content voting system, discover communities, etc., on graphs from the Internet. Such graphs are now so large that they have ...