Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Radon Series on Computational and Applied Mathematics, #6)

by Barbara Kaltenbacher, Andreas Neubauer, and Otmar Scherzer

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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.
  • ISBN10 3110204207
  • ISBN13 9783110204209
  • Publish Date 20 May 2008 (first published 1 January 2008)
  • Publish Status Active
  • Publish Country DE
  • Imprint De Gruyter