Formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems. Efficient algorithmic methods and use of oomputer modeling languages and systems ...

We provide a method for deriving robust solutions to certain stochastic optimization problems, based on mean-covariance information about the distributions underlying the uncertain vector of returns.

This paper investigates the effects of manufacturing variations in fuel injectors on the engine performance with emphasis on emissions. The variations are taken into consideration within a Reliability ...

Third, authors review Jupiter global mapping trajectories. Unlike the low-inclination tour trajectories, Jupiter’s global mapping trajectories need high inclinations. On the one hand, gravity assists ...

Scientists have developed a new optimization approach that combines both day-ahead optimization and real-time optimization to improve operations of PV-driven EV charging stations. The framework is ...

Latent AI and Wind River have announced a technical cooperation to integrate AI inference capabilities with real-time ...