Iterative Regularization Methods for Nonlinear Ill-Posed Problems

Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, that is they are unstable under data perturbations. Those problems require a regularization, that is a special numerical treatment. This book presents regularization schemes which are based on iteration methods.