Iterative Regularization Methods for Nonlinear Ill-Posed Problems

Language: English

Published by De Gruyter, DE, 2008

3110204207 / 9783110204209

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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.

Seller Inventory # LU-9783110204209

Title
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
Author
Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer
Publisher
De Gruyter, DE
Publication year
2008
Condition
New
Binding
Hardback
Language
English
ISBN 10
3110204207
ISBN 13
9783110204209
Item weight
478 grams

Rarewaves USA

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