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Inverse Problems and Imaging

Organizers:
Christian Clason (Universitat Duisburg-Essen) and Barbara Kaltenbacher

Abstract:
Many applications in science and industry require identification of parameters, initial states or other quantities that are not accessible to direct observations. The theoretical analysis of such problems and the development of approaches for their solution during the last decades has created the thriving field of inverse problems. Similarly, in recent years the field of mathematical imaging has seen tremendous growth, not only due to its intrinsic interest, e.g., in the context of medical imaging, but also by providing considerable additional impetus to the inverse problems community, e.g., in the form of regularization theory in Banach spaces together with tailored numerical algorithms for the resulting nonsmooth problems. The aim of this minisymposium is therefore to gather an active group of researchers interested in variational methods for solving inverse and imaging problems, in order to foster increased interaction between these fields.