MINISYMPOSIUMS - Recent Progress in Regularization Theory
( Chair : A. Neubauer)
Bauer F., Johannes Kepler University Linz, Austria
Choosing Regularization Parameters in an Optimal Way without Knowing the Noise Level

Harbrecht H., University of Bonn, Germany
Fast Methods for Three-Dimensional Electric Impedance Tomography

Hein T., Chemnitz Universitiy of Technology, Germany
Regularization in Banach spaces convergence rates by approximate source conditions

Kindermann S., Institute for Industrial Mathematics, Austria
Convergence results for the quasi-optimality criterion for (iterated) Tikhonov regularization

Kuegler P., University of Linz / RICAM, Austria
Online Parameter Identification in Time Dependent Differential Equations

Lahmer T., Department of Sensor Technology, University of Erl, Germany
Modified Landweber Iterations in Multilevel Algorithms Applied to Inverse Problems in Piezoelectricity

Lorenz D., Center for Industrial Mathematics (ZeTeM), Germany
On the role of sparsity in inverse problems

Meyer M., Chemnitz Universitiy of Technology, Germany
On parameter identification in linear elasticity problems

Pöschl C., Institute of Computer Science, University of Innsbruck, Austria
A Convergence Rates Result in Banach Spaces with Non-Smooth Operators

Ramlau R., Johann Radon Institute (RICAM), Austria
Regularization of Inverse Problems with Sparsity Constraints

Schieck M., Chemnitz University of Technology, Germany
On the interplay of qualification, conditional stability and general source conditions in regularization theory

Schöpfer F., Helmut Schmidt University, Germany
Acceleration of the generalized Landweber method in Banach spaces via sequential subspace optimization

Trede D., Lorenz D., Center for Industrial Mathematics (ZeTeM), Germany
Optimized Convergence Rates for Tikhonov Regularization in Besov Scales