Nonlinear Ill Posed Problems
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Iterative Regularization Methods for Nonlinear Ill-Posed Problems
Author | : Barbara Kaltenbacher |
Publisher | : Walter de Gruyter |
Total Pages | : 205 |
Release | : 2008-09-25 |
Genre | : Mathematics |
ISBN | : 311020827X |
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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.
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