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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...