Iterative Regularization Methods for Nonlinear Ill-Posed Problems

ISBN: 3110204207

Category: Technical

Tag: Science/Engineering


Posted on 2008-12-06. By anonymous.

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Barbara Kaltenbacher “Iterative Regularization Methods for Nonlinear Ill-Posed Problems"
Walter de Gruyter | 2008-05-20 | ISBN: 3110204207 | 196 pages | PDF | 1,4 MB


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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