Iterative Regularization Methods for Nonlinear Ill-Posed Problems
eBook - PDF

Iterative Regularization Methods for Nonlinear Ill-Posed Problems

  1. 202 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Iterative Regularization Methods for Nonlinear Ill-Posed Problems

Book details
Table of contents
Citations

About This Book

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 are based on iteration methods, e.g., nonlinear Landweber iteration, level set methods, multilevel methods and Newton type methods.

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Yes, you can access Iterative Regularization Methods for Nonlinear Ill-Posed Problems by Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer in PDF and/or ePUB format, as well as other popular books in Mathematik & Mathematische Analyse. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2008
ISBN
9783110208276
Edition
1
Topic
Mathematik
Subtopic
Mathematische Analyse

Table of contents

  1. Frontmatter
  2. Contents
  3. 1 Introduction
  4. 2 Nonlinear Landweber iteration
  5. 3 Modified Landweber methods
  6. 4 Newton type methods
  7. 5 Multilevel methods
  8. 6 Level set methods
  9. 7 Applications
  10. 8 Comments
  11. Backmatter