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Iterative Regularization Methods for Nonlinear Ill-Posed Problems: 6 (Radon Series on Computational and Applied Mathematics) - Hardcover
Synopsis
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.
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About the Author
Barbara Kaltenbacher, University Stuttgart; Andreas Neubauer, Johannes-Kepler-University Linz, Austria; Otmar Scherzer, University Linz, Austria.
"About this title" may belong to another edition of this title.
- PublisherWalter de Gruyter & Co
- Publication date2008
- ISBN 10 3119161357
- ISBN 13 9783119161350
- BindingHardcover
- LanguageEnglish
- Number of pages194
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