Description
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.
About the Author
Barbara Kaltenbacher, University Stuttgart; Andreas Neubauer, Johannes-Kepler-University Linz, Austria; Otmar Scherzer, University Linz, Austria.
Reviews
"This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems."Thorsten Hohage in: Mathematical Reviews 2010c
Book Information
ISBN 9783110204209
Author Barbara Kaltenbacher
Format Hardback
Page Count 202
Imprint De Gruyter
Publisher De Gruyter
Weight(grams) 478g
