Iterative Regularization Methods for Nonlinear Ill Posed Problems

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Iterative Regularization Methods for Nonlinear Ill Posed Problems

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Iterative Regularization Methods for Nonlinear Ill Posed Problems

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Iterative Regularization Methods for Nonlinear Ill Posed Problems

Nonlinear inverse problems appear in many applications and typically they lead to mathematical models that are ill-posed that is they are unstable under data perturbations. Those problems require a regularization that is a special numerical treatment. This book presents regularization schemes which are based on iteration methods.
  • Brand: Unbranded
  • Category: Education
  • Format: Hardback
  • Language: English
  • Publication Date: 2026-04-02
  • Publisher / Label: De Gruyter
  • Author: Iterative Regularization Methods for Nonlinear Ill Posed Problems
  • Number of Pages: 202
  • Fruugo ID: 489776332-1012662117
  • ISBN: 9783110204209
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