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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kaltenbacher, Barbara
Otros Autores: Neubauer, Andreas, Scherzer, Otmar, 1964-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; New York : Walter de Gruyter, ©2008.
Colección:Radon series on computational and applied mathematics ; 6.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Iterative regularization methods for nonlinear ill-posed problems /  |c Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer. 
260 |a Berlin ;  |a New York :  |b Walter de Gruyter,  |c ©2008. 
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504 |a Includes bibliographical references (pages 183-192) and index. 
588 0 |a Print version record. 
505 0 |a Frontmatter; Contents; 1 Introduction; 2 Nonlinear Landweber iteration; 3 Modified Landweber methods; 4 Newton type methods; 5 Multilevel methods; 6 Level set methods; 7 Applications; 8 Comments; Backmatter. 
520 |a 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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650 0 |a Iterative methods (Mathematics) 
650 6 |a Équations aux dérivées partielles  |x Problèmes mal posés. 
650 6 |a Itération (Mathématiques) 
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650 7 |a Regularisierungsverfahren  |2 gnd 
650 7 |a Iteration  |2 gnd 
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700 1 |a Scherzer, Otmar,  |d 1964- 
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