
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
De Gruyter (Publisher)
1st Edition
Published on 20. May 2008
Book
Hardback
VIII, 194 pages
978-3-11-020420-9 (ISBN)
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.
Reviews / Votes
"This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems."Thorsten Hohage in: Mathematical Reviews 2010cMore details
Series
Language
English
Place of publication
Berlin/Boston
Germany
Target group
Professional and scholarly
US School Grade: College Graduate Student
Dimensions
Height: 246 mm
Width: 175 mm
Thickness: 16 mm
Weight
534 gr
ISBN-13
978-3-11-020420-9 (9783110204209)
Schweitzer Classification
Other editions
Additional editions

Barbara Kaltenbacher | Andreas Neubauer | Otmar Scherzer
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
E-Book
09/2008
1st Edition
De Gruyter
€189.95
Available for download
Persons
Barbara Kaltenbacher, University Stuttgart; Andreas Neubauer, Johannes-Kepler-University Linz, Austria; Otmar Scherzer, University Linz, Austria.
Content
Frontmatter
Contents
1 Introduction
2 Nonlinear Landweber iteration
3 Modified Landweber methods
4 Newton type methods
5 Multilevel methods
6 Level set methods
7 Applications
8 Comments
Backmatter
Contents
1 Introduction
2 Nonlinear Landweber iteration
3 Modified Landweber methods
4 Newton type methods
5 Multilevel methods
6 Level set methods
7 Applications
8 Comments
Backmatter