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 (in alphabetical order):
Christina Brandt, University of Hamburg, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.

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

Bangti Jin, University College London, UK, This email address is being protected from spambots. You need JavaScript enabled to view it.
Numerical estimation of a diffusion coefficient in subdiffusion

Dinh Liem Nguyen, Kansas State University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Loc Hoang Nguyen, University of North Carolina Charlotte, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Thanh Trung Nguyen, Rowan State University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Model-reduction-based recursive optimization methods for inverse scattering problems

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

G. Murali Mohan Reddy, Birla Institute of Technology & Science, India, This email address is being protected from spambots. You need JavaScript enabled to view it.

Yusufu Simayi, Ruhr-University of Bochum, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.