Regularization Methods in Banach Spaces /

Regularization Methods in Banach Spaces / / Bernd Hofmann, Barbara Kaltenbacher, Kamil S. Kazimierski, Thomas Schuster.

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Regularization methods aimed at finding stable approximate solutions are a necessary tool to tackle inverse and ill-posed problems. Inverse problems arise in a large variety of applications ranging from medical imaging and non-destructive testing via finance to systems biology. Many of these problem...

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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:
Schuster, Thomas,
Hofmann, Bernd,
Kaltenbacher, Barbara,
Kazimierski, Kamil S.,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2012]
©2012
Year of Publication:2012
Language:English
Series:Radon Series on Computational and Applied Mathematics , 10
Online Access:
Physical Description:1 online resource (283 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • Part I. Why to use Banach spaces in regularization theory?
  • Part II. Geometry and mathematical tools of Banach spaces
  • Part III. Tikhonov-type regularization
  • Part IV. Iterative regularization
  • Part V. The method of approximate inverse
  • Bibliography
  • Index

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