Iterative Regularization Methods for Nonlinear Ill-Posed Problems /

Iterative Regularization Methods for Nonlinear Ill-Posed Problems / / Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer.

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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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1
VerfasserIn:
Kaltenbacher, Barbara,
Neubauer, Andreas,
Scherzer, Otmar,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2008]
©2008
Year of Publication:2008
Language:English
Series:Radon Series on Computational and Applied Mathematics , 6
Online Access:
Physical Description:1 online resource (194 p.)
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Table of Contents:
  • 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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