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Iterative regularization methods for nonlinear ill-posed problems /
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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin ; New York :
Walter de Gruyter,
©2008.
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| Colección: | Radon series on computational and applied mathematics ;
6. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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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| Descripción Física: | 1 online resource (viii, 200 pages) : illustrations |
| Bibliografía: | Includes bibliographical references (pages 183-192) and index. |
| ISBN: | 9783110208276 311020827X 9783110204209 3110204207 |
| ISSN: | 1865-3707 ; |