Focus Sessions

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.  

  • Infinite 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