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 ...
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 ...
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 ...
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 ...
This directory contains: - GreedyFord.py script that codes an Algorithm that combines Edmonds-Karp maximum flow algorithm with a Greedy earliest arrival flight selection approach to achieve optimal ...
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 ...
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 ...
Add a description, image, and links to the maximum-flow-algorithm topic page so that developers can more easily learn about it.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results