Iterative Regularization Methods for Nonlinear Ill-Posed Problems (English, Barbara Kaltenbacher | Andreas Neubauer | Otmar Scherzer)

About the Book

Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, i.e., they are unstable under data perturbations. Those problems require a regularization, i.e., a special numerical treatment. This book presents regularization schemes which are based on iteration methods, e.g., nonlinear Landweber iteration, level set methods, multilevel methods and Newton type methods.

ISBN: 9783110204209