Iterative Regularization Methods for Nonlinear Ill-Posed Problems

Released on by Barbara Kaltenbacher
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  • Iterative Regularization Methods for Nonlinear Ill-Posed Problems Book Detail

  • Author : Barbara Kaltenbacher
  • Release Date : 2008-09-25
  • Publisher : Walter de Gruyter
  • Genre : Mathematics
  • Pages : 205
  • ISBN 13 : 311020827X
  • File Size : 60,60 MB
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Iterative Regularization Methods for Nonlinear Ill-Posed Problems by Barbara Kaltenbacher PDF Summary

Book Description: 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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