Modern computational tools let scientists explore huge numbers of possible molecules, materials and chemical reactions. But testing every combination in the lab is slow and costly. So how do ...

“With a new research focus, we are excited to develop novel optimization models and methods, and leverage modern computer architectures to transform AI and learning, enabling decision pipelines that ...

Combinatorial optimization problems are ubiquitous, underpinning decision-making in a wide range of fields, including ...

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 ...