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Iterative Regularization Methods for Nonlinear Ill-Posed Problems

af Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer

indgår i Radon Series on Computational and Applied Mathematics serien

Iterative Regularization Methods for Nonlinear Ill-Posed Problems af Barbara Kaltenbacher
Bag om 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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783110204209
  • Indbinding:
  • Hardback
  • Sideantal:
  • 202
  • Udgivet:
  • 20. Maj 2008
  • Størrelse:
  • 178x251x20 mm.
  • Vægt:
  • 532 g.
  • 8-11 hverdage.
  • 4. Oktober 2024

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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.

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