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M13

M13: Computational Inverse Problems 

The aim of this minisymposium is to highlight numerical solution methods for inverse problems taking into account both the inherent instability and the computational complexity of such problems. Development of such methods may on the one hand start from the application at hand, thus heavily exploiting structural information, on the other hand it may be based on abstract concepts. Aspects to be discussed in this minisymposium are, e.g., appropriate discretizations taking into account the underlying function spaces and possibly expoliting adaptivity, efficient iterative solution strategies using preconditioning or stepsize selection, as well as the interplay between parameters appearing within the methods such as discretization levels, regularization parameters and stopping criteria.

Organizers:
B. Kaltenbacher, Alpen-Adria-Universität Klagenfurt, Austria,  This email address is being protected from spambots. You need JavaScript enabled to view it.
Shuai Lu, Fudan University, China,   This email address is being protected from spambots. You need JavaScript enabled to view it.

Invited Speakers 

Hend Ben Ameur, University of Tunis, Tunisia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Identification of parameters, fractures and wells in a porous media

Alexander Litvinenko, King Abdullah University of Science and Technology, Saudi Arabia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Approximation of non-linear Bayesian update for inverse problems

Shuai Lu, Fudan University, China, This email address is being protected from spambots. You need JavaScript enabled to view it.
Multi-frequency inverse acoustic source problems

Liviu Marin, University of Bucharest, Romania, This email address is being protected from spambots. You need JavaScript enabled to view it.
A meshless fading regularization method for inverse BVPs in elasticity

Renier Mendoza, University of the Philippines Diliman, Philippines , This email address is being protected from spambots. You need JavaScript enabled to view it.
A two-phase segmentation approach to the impedance tomography problem

Christoph Rügge, University of Göttingen, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Convergence of discrete, spatially regularized diffusion MRI reconstructions

Carola-Bibiane Schönlieb, University of Cambridge, United Kingdom, This email address is being protected from spambots. You need JavaScript enabled to view it.
Discrete gradients for computing inverse imaging solutions

Julia Seydel, Saarland University, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Identifying the stored energy function of a hyperelastic material from full knowledge of the displacement field

Simon Rabanser, University of Innsbruck, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.
Single-stage reconstruction algorithm in quantitative photoacoustic tomography

Bangti Jin, University College London, United Kingdom, This email address is being protected from spambots. You need JavaScript enabled to view it.
Linearized inverse problem in multi-frequency electrical impedance tomography