Iterative Regularization Methods For Nonlinear Ill-Posed Problems
Language: English
Published by De Gruyter, 2008
- Hardcover
- New
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- Title
- Iterative Regularization Methods For Nonlinear Ill-Posed Problems
- Author
- Kaltenbacher, Barbara; Neubauer, Andreas; Scherzer, Otmar
- Publisher
- De Gruyter
- Publication year
- 2008
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3110204207
- ISBN 13
- 9783110204209
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, Universität Stuttgart; Andreas Neubauer, Johannes-Kepler-Universität Linz, Österreich; Otmar Scherzer, Universität Linz, Österreich.
Barbara Kaltenbacher, University Stuttgart; Andreas Neubauer, Johannes-Kepler-University Linz, Austria; Otmar Scherzer, University Linz, Austria.
"About the title" may belong to another edition of this title.
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