Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Repost)

ISBN: 3110204207

Category: Technical

Tag: Science/Engineering


Posted on 2011-03-10. By anonymous.

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Iterative Regularization Methods for Nonlinear Ill-Posed Problems
Publisher: Walter de Gruyter | ISBN: 3110204207 | edition 2008 | PDF | 196 pages | 1,3 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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