Regularization methods in Banach spaces

Regularization methods in Banach spaces / by Thomas Schuster [and others].

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...

Full description

Saved in:
Bibliographic Details
Other Authors: Schuster, Thomas, 1971-
Format: eBook
Language:English
Published: Berlin ; Boston : De Gruyter, ©2012.
Series:Radon series on computational and applied mathematics ; 10.
Subjects:
Banach spaces.
Parameter estimation.
Differential equations, Partial.
MATHEMATICS > Transformations.
Banach spaces
Differential equations, Partial
Parameter estimation
Banach-Raum
Regularisierung
Online Access:Click for online access
Table of Contents:
  • 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.

Similar Items