Challenges in Optimization with Complex PDE-Systems
Michael Hintermüller
Weierstrass-Institut für Angewandte Analysis und Stochastik, Berlin, GermanyKarl Kunisch
Karl-Franzens-Universität Graz, AustriaGünter Leugering
FAU Erlangen-Nürnberg, GermanyElisabetta Rocca
Università degli Studi di Pavia, Italy
Abstract
The workshop concentrated on various aspects of optimization problems with systems of nonlinear partial differential equations (PDEs) or variational inequalities (VIs) as constraints. In particular, discussions around several keynote presentations in the areas of optimal control of nonlinear or non-smooth systems, optimization problems with functional and discrete or switching variables leading to mixed integer nonlinear PDE constrained optimization, shape and topology optimization, feedback control and stabilization, multi-criteria problems and multiple optimization problems with equilibrium constraints as well as versions of these problems under uncertainty or stochastic influences, and the respectively associated numerical analysis as well as design and analysis of solution algorithms were promoted. Moreover, aspects of optimal control of data-driven PDE constraints (e.g. related to machine learning) were addressed.
Cite this article
Michael Hintermüller, Karl Kunisch, Günter Leugering, Elisabetta Rocca, Challenges in Optimization with Complex PDE-Systems. Oberwolfach Rep. 18 (2021), no. 1, pp. 419–506
DOI 10.4171/OWR/2021/9