Regularization methods in Banach spaces /

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Regularization methods aimed at finding stable approximate solutions are a necessary tool to tackle inverse and ill-posed problems. Usually the mathematical model of an inverse problem consists of an operator equation of the first kind and often the associated forward operator acts between Hilbert s...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Schuster, Thomas, 1971-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; Boston : De Gruyter, ©2012.
Colección:Radon series on computational and applied mathematics ; 10.
Temas:
Banach spaces.
Parameter estimation.
Differential equations, Partial.
Iterative methods.
Regularization theory.
Tikhonov regularization.
Espaces de Banach.
Estimation d'un paramètre.
Équations aux dérivées partielles.
MATHEMATICS > Transformations.
Banach spaces
Differential equations, Partial
Parameter estimation
Banach-Raum
Regularisierung
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Why to use Banach spaces in regularization theory?
  • Geometry and mathematical tools of Banach spaces
  • Tikhonov-type regularization
  • Iterative regularization
  • The method of approximate inverse.

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