“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 ...

Optimization methods form the backbone of numerical analysis, enabling the efficient solution of problems across engineering, data science, physics and beyond. At their core lie gradient-based ...

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 ...

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

An international research team has developed an optimized semi-transparent PV greenhouse design that increases solar ...