Iterative Regularization Methods for Nonlinear Ill-Posed Problems
| Autor: | Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer |
|---|---|
| EAN: | 9783110208276 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 25.09.2008 |
| Kategorie: | |
| Schlagworte: | Inverses Problem Iterationsverfahren Nichtlineare Gleichung Nonlinear Ill-Posed Problems; Nonlinear Inverse Problems; Iterative Regularization |
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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.
Barbara Kaltenbacher, University Stuttgart; Andreas Neubauer, Johannes-Kepler-University Linz, Austria; Otmar Scherzer, University Linz, Austria.
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