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Iterative Regularization Methods for Nonlinear Ill Posed Problems Book PDF Summary

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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Iterative Regularization Methods for Nonlinear Ill Posed Problems
  • Author : Barbara Kaltenbacher
  • Release : 25 September 2008
  • Publisher : Walter de Gruyter
  • ISBN : 9783110208276
  • Genre : Mathematics
  • Total Page : 205 pages
  • Language : English
  • PDF File Size : 10,9 Mb

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