Continuous Optimisation

The stream warmly welcomes academics and practitioners who operate in the field of continuous optimization and its intersection with other fields such as machine learning and engineering. The goal is to foster discussions and highlight recent, contemporary, and effective practices, ideas, and techniques related to relevant theoretical tools and methodological aspects for continuous optimisation. In this context, specific emphasis will be placed on various topics, including but not limited to:

  • Convex and Nonconvex Optimisation
  • First-Order and Second-Order Methods
  • Derivative-Free Optimisation
  • Semidefinite Programming
  • Bilevel Optimisation
  • Multi-Objective Optimisation 
  • Variational Inequalities and Equilibrium Problems
  • Computational Optimisation
  • Contemporary Applications 



Stefano Cipolla, University of Southampton


E. Alper Yildirim, University of Edinburgh