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 ...

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 ...

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 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 ...

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 ...

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 ...

This repository contains the implementation and datasets for a project on debt simplification using network flow models. The project studies how to minimize the number of transactions required to ...

Abstract: Sporadic ambient radio frequency signals can offer opportunistic spectrum and energy sources for backscatter communications, but they also induce unpredictable transmission interruptions in ...