Iterative Regularization Methods for Nonlinear Ill-posed Problems: 6

Iterative Regularization Methods for Nonlinear Ill-posed Problems: 6 book cover

Iterative Regularization Methods for Nonlinear Ill-posed Problems: 6

Author(s): Barbara Kaltenbacher (Author), Andreas Neubauer (Author), Otmar Scherzer (Author)

  • Publisher: De Gruyter
  • Publication Date: 1 May 2008
  • Language: English
  • Print length: 202 pages
  • ISBN-10: 3110204207
  • ISBN-13: 9783110204209

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.

Editorial Reviews

Review

“This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems.”
Thorsten Hohage in: Mathematical Reviews 2010c

Review

“This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems.”
Thorsten Hohage in: Mathematical Reviews 2010c

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