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M6

M6:Optimization Methods for Inverse Problems

The aim of this minisymposium is to discuss the usefulness of various optimization methods for solving inverse problems. The emphasis will be on recent advances in the theory and numerical techniques of parameter identification in various PDEs and variational and quasi-variational inequalities. Some talks will focus on showing the importance of vector optimization techniques in solving inverse problems. The minisymposium will evolve around the following themes: Inverse and Ill-Posed Problems, Regularization Methods, Applications to Elasticity Imaging and Signal Processing, Vector optimization techniques, Uncertainty quantification in inverse problems, and other applications.                                      

Organizers:
Baasansuren Jadamba, Rochester Institute of Technology, USA, 
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Akhtar A. Khan, Rochester Institute of Technology, USA,  This email address is being protected from spambots. You need JavaScript enabled to view it.
Christiane Tammer, University of Halle-Wittenberg,  Germany,  This email address is being protected from spambots. You need JavaScript enabled to view it.

Invited Speakers

Christiane Tammer, University of Halle-Wittenberg, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Necessary conditions in multiobjective approximation theory and applications for inverse problems

Elisabeth Köbis, University of Erlangen-Nuremberg, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Uncertain optimization problems: An application of inverse problem

Aref Lakhal, University of Saarlandes, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
A direct method for nonlinear inverse problems

Akhtar A. Khan, Rochester Institute of Technology, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Stability aspects of parameter identification