Kaltenbacher, Barbara / Neubauer, Andreas / Scherzer, Otmar
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
Aims and Scope
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.
- viii, 194 pages
- Type of Publication:
- Nonlinear Ill-Posed Problems; Nonlinear Inverse Problems; Iterative Regularization
MARC recordMARC record for eBook
"This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems."
Thorsten Hohage in: Mathematical Reviews 2010c