Regularization Theory for Ill-posed Problems : : Selected Topics /

Regularization Theory for Ill-posed Problems : : Selected Topics / / Sergei V. Pereverzev, Shuai Lu.

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This monograph is a valuable contribution to the highly topical and extremly productive field of regularisation methods for inverse and ill-posed problems. The author is an internationally outstanding and accepted mathematician in this field. In his book he offers a well-balanced mixture of basic an...

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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:
Lu, Shuai,
Pereverzev, Sergei V.,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2013]
©2013
Year of Publication:2013
Language:English
Series:Inverse and Ill-Posed Problems Series , 58
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Physical Description:1 online resource (289 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • Chapter 1. An introduction using classical examples
  • Chapter 2. Basics of single parameter regularization schemes
  • Chapter 3. Multiparameter regularization
  • Chapter 4. Regularization algorithms in learning theory
  • Chapter 5. Meta-learning approach to regularization – case study: blood glucose prediction
  • Bibliography
  • Index

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