Not humans, not AI. Algorithms will now decide when and how you merge into a lane in California, thanks to a $33 million “smart freeway” pilot project that aims to save commute time. Traffic has ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

NP-complete for general graphs APX-hard: difficult to approximate within a constant factor Generalizes well-known problems such as maximum clique and subgraph isomorphism ...

Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of organisms to tackle difficult and often overwhelming problems. For example, ...

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically share information with each other. Understanding how information moves ...

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 ...

A high-performance C# wrapper for the LEMON (Library for Efficient Modeling and Optimization in Networks) graph library, providing access to state-of-the-art graph algorithms for maximum flow and ...

Abstract: Graph algorithms play a pivotal role in solving allocation problems, which are fundamental across diverse domains such as transportation, telecommunications, supply chain management, and ...

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 ...