Recent Progress in Regularization Theory

Chairs: B. Hofmann, A. Neubauer

Speakers:

Bernd Hofmann
bernd.hofmann@mathematik.tu-chemnitz.de
Faculty of Mathematics, TU Chemnitz, Germany
An extension of the variational inequality approach for nonlinear ill-posed problems

Andreas Neubauer
neubauer@indmath.uni-linz.ac.at
Industrial Mathematics Institute, University of Linz, Austria
On enhanced convergence rates for Tikhonov regularization in Banach spaces

Jens Geissler
jens.geissler@s2005.tu-chemnitz.de
Faculty of Mathematics, TU Chemnitz, Germany
On convergence rates in variational regularization with general residual term

Markus Haltmeier
markus.haltmeier@uibk.ac.at
Computational Science Center, University Vienna , Austria
Convergence rates conditions for convex variational regularization and applications

Uno Hämarik
uno.hamarik@ut.ee
Institute of Applied Mathematics, Tartu University, Estonia
On parameter choice in extrapolated variants of Tikhonov and Lavrentiev methods

Torsten Hein
torsten.hein@mathematik.tu-chemnitz.de
Faculty of Mathematics, TU Chemnitz, Germany
On low and high order convergence rates for regularization in Banach spaces

Kamil S. Kazimierski
kamilk@math.uni-bremen.de
Center for Industrial Mathematics, University of Bremen, Germany
Convergence and convergence rates for iterative regularization in Banach spaces

Stefan Kindermann
kindermann@indmath.uni-linz.ac.a
Industrial Mathematics Institute, University of Linz, Austria
Regions of stability and regularization of the Cauchy problem for the Helmholtz equation

Esther Klann
esther.klann@oeaw.ac.at
RICAM Linz, Austria
Regularization results for a Mumford-Shah like method with application to tomography data

Marcus Meyer
marcus.meyer@mathematik.tu-chemnitz.de
Faculty of Mathematics, TU Chemnitz, Germany
Parameter identification problems for nonlinear material models

Jonas Offtermatt
jonas.offtermatt@mathematik.uni-stuttgart.de
Institute of Stochastics and Applications, University of Stuttgart, Germany
Recover sparse solutions in systems biology applications with an adaptive algorithm

Reimo Palm
reimo.palm@ut.ee
Institute of Applied Mathematics, Tartu University, Estonia
Numerical comparison of stopping rules in variants of Tikhonov method in terms of accuracy and computational cost

Hanna K. Pikkarainen
hanna.pikkarainen@oeaw.ac.at
RICAM, Linz, Austria
Inverse problems in the space of Radon measures

Ronny Ramlau
ronny.ramlau@jku.at
Industrial Mathematics Institute, University of Linz, Austria
Fast iterative multilevel methods for inverse problems

Toomas Raus
toomas.raus@ut.ee
Institute of Applied Mathematics, Tartu University, Estonia
About the general family of the regularization parameter choice rules for Tikhonov and Lavrentiev methods

Nadja Rückert
nadja.rueckert@mathematik.tu-chemnitz.de
Faculty of Mathematics, TU Chemnitz, Germany
Stable parameter identification evaluation of the volatility surface

Thomas Schuster
schuster@hsu-hh.de
Department of Mathematik, Helmut Schmidt University Hamburg, Germany
The method of approximate inverse as a regularization tool in Banach spaces convergence rates and application to X-ray diffractometry

Gerd Teschke
teschke@hs-nb.de
Department of Mathematics, Univeristy Neubrandenburg, Germany
Effcient approximation of sparse solutions in inverse problems

A. Maciag, K. Grysa,
a artur@exe.pl
Kielce University of Technology, Poland
Energetic regularization for inverse elasticity and thermoelasticity problems based on Trefftz functions