Inverse and Ill–Posed Problems-Are Classical Methods Growing Long in the Tooth?

Speaker: Samuel Subbey (IMR, Norway)

Abstract

Classical solutions to inverse and ill-posed problems require regularization, i.e., an attempt to solve a stable variant of the original unstable problem. Theoretically, a successful regularization procedure results in finding the true solution. The aim of this talk is to discuss the classical approach to solving inverse and ill-posed problems in light of data and model uncertainty. A simple example will be presented to exemplify key points.