Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a ...

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

Awards recognize foundational research that helped shape the fields of mixed-integer and nonlinear optimization-and reflect the company's deep scientific roots. Gurobi Optimization, LLC, the leader ...