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