The optimization algorithms to be developed are adjoint-based and build the foundation for numerous optimization problems within the proposed SFB. Example optimization parameters could be the geometry of surfaces, the contact line velocity, or material properties of fluids or surfaces. Thereby, among others, experimentally immeasurable parameters can be estimated with minimal variance using the simulation model. The results of this project should be particularly valuable for the future selection of generic experimental parameters and will make available quantities which are difficult to measure experimentally.
|Prof. Dr. Stefan Ulbrich|
+49 6151 16-23430
|Elisabeth Diehl M.Sc.|
+49 6151 16-23456
Ulbrich, Stefan (2018):
Optimal boundary control of nonlinear hyperbolic conservation laws with state constraints.
In: "Challenges in Optimal Control of Nonlinear PDE-Systems" Oberwolfach Meeting, Oberwolfach, April 8-14, 2018, [Conference or Workshop Item]