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 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 ...

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 ...

Abstract: Based on Storage Time Aggregated Graph (STAG) model in time-varying graph theory, we investigate the single-source-single-sink maximum flow problem in a time-varying Ad hoc network comprised ...

The maximum-flow problem, or max flow, is one of the most basic problems in computer science: first solved during preparations for the Berlin airlift, it’s a component of many logistical problems and ...

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...

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 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 ...