To get the most out of a battery energy storage system (BESS), an optimal operational schedule is required. Gurobi can efficiently compute this optimal schedule.

This model is an example of a railway dispatching problem formulated as an optimization problem using the Gurobi Python API and solved with the Gurobi Optimizer.

This documentation provides several self-contained Jupyter notebooks that discuss the modeling of typical features in mean-variance (M-V) portfolio optimization.

Create a predictive model to forecast sales based on product prices, then build an optimization model to identify the optimal product mix.

With text-generation AI becoming popular and ubiquitous, can mathematical optimization catch cases of plagiarism?

Weather events are a major threat to the airline industry. The unpredictable nature of snowstorms, heavy rains, and icy runways make it difficult for aviation planners to make accurate schedules.