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 ...

Austrian researchers have developed an optimization framework that accounts for part-load efficiency when sizing and ...

“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 ...

Synonymous codons may encode the same amino acid, but host cells do not treat them as interchangeable. Codon preferences vary ...

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 ...