Global optimisation stands as a pivotal discipline in applied mathematics and engineering, providing robust methodologies for determining the absolute best solution among myriad local optima. Recent ...

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 ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

A research team has developed DeepCodon, a deep learning–based codon optimization tool that significantly improves heterologous protein expression in Escherichia coli while preserving functionally ...