Iterative Regularization Methods for Nonlinear Ill-posed Problems.

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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 a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kaltenbacher, Barbara
Otros Autores: Neubauer, Andreas, Scherzer, Otmar
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin : Walter de Gruyter, 2008.
Colección:Radon Series on Computational and Applied Mathematics, v. 6.
Temas:
Differential equations, Partial > Improperly posed problems.
Iterative methods (Mathematics)
Équations aux dérivées partielles > Problèmes mal posés.
Itération (Mathématiques)
MATHEMATICS / Mathematical Analysis.
Differential equations, Partial > Improperly posed problems
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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