Below is a list of focus sessions, representing some of the central themes of the conference. When submitting an abstract for the conference, authors are able to choose what focus session (called ‚topics‘ during registration) they would like their abstract to be considered for.

Finite dimensional nonsmooth optimization
Shape and topology optimization
Feedback control for large-scale systems
Computational inverse problems
Machine learning and PDEs
Discretization and adaptivity
Model order reduction and low-rank approximation for nonlinear problems
Mixed-integer PDE-constrained optimization
Optimization under uncertainties
Linear algebra in computational optimization
Mathematical imaging