Regularization theory for ill-posed equations with noisy operators and right-hand sides

Chairs: S. Pereverzyev, S. Lu

Speakers:

Sergei Pereverzyev, sergei.pereverzyev@oeaw.ac.at
Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austria
To be announced

Ismael Bleyer, ismael.bleyer@dk-compmath.jku.at
Johannes Kepler University Linz, Austria
Regularization of linear integral equations with noisy data and noisy operator

Uno Hämarik, uno.hamarik@ut.ee
Institute of Applied Mathematics, University of Tartu, Estonia
On projection methods for self-regularization of ill-posed problems with noisy operators

Clément Marteau,
clement.marteau@insa-toulouse.fr
Institut national des sciences appliqués, de Toulouse, France
Oracle inequalities for some inverse problem with noisy operator

Toomas Raus, toomas.raus@ut.ee
Institute of Applied Mathematics, University of Tartu, Estonia
On the quasioptimal rules for choice of the regularization parameter in case of noisy operator

Ulrich Tautenhahn, u.tautenhahn@hs-zigr.de
Department of Mathematics, University of Applied Sciences Zittau/ Görlitz, Germany
Generalized discrepancy principle and regularized total least squares for ill-posed problems with noisy data