Using Edmond-Karp Algorithm to Solve the Max Flow Problem Abstract: This paper is an introduction into the max flow problem. We implement the Edmonds-Karp algorithm, which executes in O (VE2) time.

Files max_flow_min_cut.py: Contains the implementation of the Ford-Fulkerson algorithm with functions to compute the max flow and find the min cut. Test Graph: A sample test graph is included to ...

Two sample power systems were tested using max-flow for UPFC placement and settings. The resulting system characteristics are examined over all single-line contingencies and the appropriateness of the ...

In this paper we present a max flow multipath routing algorithm that is designed to reduce latency, provide high throughput and balance traffic load. The max flow multipath algorithm is based on a ...

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 ...

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 ...

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 ...