Tuesday, July 11
Regularization Methods for Nonlinear Inverse Problems - Part I of II
4:00 PM-6:00 PM
Rio Mar 10
For Part II, see MS34.
Inverse problem have become an important field in various applications, e.g., in parameter identification and nondestructive testing. Many practical inverse problems are nonlinear even if the corresponding direct problem is linear. The specific theoretical and numerical difficulty of inverse problems is their ill-posedness, which results in severe numerical instability. Methods to overcome this difficulty are the so-called "regularization methods". Regularization theory for linear inverse problems is well-developed, but regularization of nonlinear inverse problems is still an active research field both in theory and applications. This minisymposium aims at presenting new developments in theory and also to show new results in applications especially to parameter identification and nondestructive testing.
Organizer: Heinz W. Engl
Johannes Kepler Universität, Austria
Because of a cancelled talk in
this session, and two talks in Part II (MS34), the remaining speakers
in both sessions are all presenting their talks in just one session --
in MS34 on Wednesday morning. Please see the new order of speakers in MS34.
- 4:00-4:25 Moved to MS34
Iterative Methods for Nonlinear Inverse Problems and Preconditioning Heinz W. Engl, Organizer; and Otmar Scherzer, Johannes Kepler Universität, Austria
- 4:30-4:55 Moved to MS34
Smoothing Methods and Semismooth Methods for Nondifferentiable Ill-Posed Operator Equations
Zuhair Nashed, University of Delaware, USA
- 5:00-5:25 Cancelled
Ill-Posed Problems with A-Priori Information
Anatoly G. Yagola, Moscow State University, Russia
- 5:30-5:55 Moved to MS34
Regularization Parameter Selection from Noise Statistics
Curtis R. Vogel and Scott Hyde, Montana State University, USA