We began this series with a simple question: why should someone already fluent in Python bother learning SageMath? Fourteen ...

Researchers have developed a new optimization algorithm modeled on how the platypus uses electroreception and spatial memory ...

Making old age the happiest time of your life.The "Fukunaga Method: Optimization Theory of Happiness" born from nursing care ...

Why do we destroy organizations while 'meaning well'?In today's highly complex organizations and systems, the conflict between 'individual/partial optimization' and 'global optimization' stands as the ...

Every swap on a decentralized exchange leaves a small mark behind: a price that no longer matches the wider market. That gap, tiny as it usually is, quietly funds an entire industry of arbitrage bots ...

ABSTRACT: A hyperbolic model for the diffusion of proteins through the blood-cerebrospinal fluid (CSF) barrier revolutionized clinical neurochemistry thirty years ago. The regression curves were ...

Geology and Mineral Exploration and Development Bureau (Sixth Geological and Mineral Exploration Institute of Shandong Province), Weihai, Shandong 265400, China Deep Gold Exploration and Mining ...

ENFORCpp is a C++ tool that allows you to solve nonlinear constrained optimization problems. The tool is designed with real-time considerations and is suitable for online trajectory and control input ...

Julia’s high-level abstractions and dynamic typing make it an attractive choice for developing machine learning models, particularly those involving deep neural networks. The adoption of Julia in ...

The quantum approximate optimization algorithm (QAOA) is a leading candidate algorithm for solving optimization problems on quantum computers. However, the potential of QAOA to tackle classically ...

From quadrotors delivering packages in urban areas to robot arms moving in confined warehouses, motion planning around obstacles is a core challenge in modern robotics. Planners based on optimization ...