M17. Parameter Identification Problems for PDEs: Theoretical and Computational Aspects
Many phenomena in real-life are modeled by partial differential equations. Roughly they illustrate the relationships between result states, processes concerning derivatives and related parameters. Nevertheless, it might happen that some models are imprecise in the practical setting: parameters such as coefficients, source terms, boundary conditions may be subject to uncertainty which must be identified from measurement data of the states.
The minisymposium is a forum for scientists to present recent results on the uniqueness, stability and convergence of regularization methods for the parameter identification problem as well as on reconstruction algorithms and experimental implementations.
Organizer:
Tran Nhan Tam Quyen, Georg-August-University of Goettingen, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Invited Speakers:
Sarah Eberle, Goethe-University of Frankfurt am Main, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Reconstruction of Lamé parameters in linear elasticity
Thanh Trung Nguyen, Rowan State University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Model and source identification problems for a system of advection-reaction equations and applications in water quality
Tran Nhan Tam Quyen, Georg-August-University of Goettingen, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Electrical impedance tomography with partial Cauchy data
Francesco Attilio Bruno Silva, Eindhoven University of Technology, The Netherlands, This email address is being protected from spambots. You need JavaScript enabled to view it.
A Reduced Basis Ensemble Kalman Method for Inverse Problems
Irwin Yousept, University of Duisburg-Essen, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Acoustic full-waveform inversion via optimal control