Numerical Techniques for Optimization Problems with PDE Constraints

Abstract

Optimization problems with partial differential equation (PDE) constraints arise in many science and engineering applications. Their robust and efficient solution present many mathematical challenges and requires a tight integration of properties and structures of the underlying problem, of fast numerical PDE solvers, and of numerical nonlinear optimization. This workshop brought together experts in the above subdisciplines to exchange the latest research developments, discuss open questions, and to foster interactions between these subdisciplines.