This project is a Python implementation of the Maximum Flow problem, specifically designed to handle graphs that have capacities on both edges and nodes (vertices). This was developed for an ...

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 ...

A team of researchers led by Rasmus Kinn of the Swiss Federal Institute of Technology in Zurich has created a near-perfect algorithm to calculate the maximum transport flows at the lowest cost in any ...

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: For a unicast/multicast session, network coding is generally implemented via random coding and broadcasting at intermediate nodes, an especially favorable solution in wireless networks. The ...

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 ...

Algorithm.transform: This module is responsible for transforming the dataset into the datastructures required for the computation. Transformation 1 (Algorithm.transform.transform): The above is the ...