What is the most efficient way to extract maximum value from a finite mineral resource while balancing cost, safety, and ...

Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving ...

Kraft Heinz (KHC) cancelled its breakup plan and announced a $600M investment in marketing, sales, and R&D, but stock has fallen 20% over the past year with Reddit sentiment collapsing to 31.82 out of ...

A mobile ultrasonic stratified flow velocity measurement device, which utilizes a pair of ultrasonic transducers, was characterized by its low power consumption and the ability to measure multi-layer ...

Abstract: In this talk, I will present a new combinatorial algorithm for maximum flow that is based on running the weighted push-relabel algorithm introduced in [BBST ...

I want to address a simple (failed) optimization in Dinic's implementation. In code, there's an array called 'ptr' probably used to avoid repetitive checking of 0 residual capacity edges. There's one ...

This paper presents an optimized strategy for multiple integrations of photovoltaic distributed generation (PV-DG) within radial distribution power systems. The proposed methodology focuses on ...

Rasmus Kyng and his team developed an ultra-fast network flow algorithm that can compute the optimal traffic flow in real-time, regardless of network size or complexity. This breakthrough, combining ...

The two thinkers behind the almost maximally fast flow algorithm: Rasmus Kyng and Maximilian Probst Gutenberg. Credit: ETH Zurich / Nicola Pitaro. Imagine a world where you can instantly find the best ...