In Ford-Fulkerson algorithm we used a path with low capacity and it considered more edges than necessary for flow i.e., the longest path. These drawbacks of Ford-Fulkerson are improved by Edmonds-Karp ...

Code for computing the maximum flow of a flow network using the Edmonds-Karp implementation of Ford-Fulkerson. Then some applications of max flow (baseball elimination problem). - emcapsulation/max ...

Recently, generalized retrieval algorithms are proposed to cover heterogeneous disk arrays, initial loads, and network delays. Generalized retrieval algorithms achieve the optimal response time ...

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 ...

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 outgrown ...

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 ...

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 ...

The maximum ow solver is di fficult to parallelize. Highly optimized sequential version of maximum flow solvers such as those by Goldberg exists. This work describes how some of the concurrency ...

An algorithm promises to greatly streamline solutions to the "max flow" problem.

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 ...