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Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Computational and Applied Mathematics)
By Kaltenbacher, Barbara
Product 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.
By Kaltenbacher, Barbara
- Publisher: Walter de Gruyter
- Number Of Pages: 196
- Publication Date: 2008-05-20
- ISBN-10 / ASIN: 3110204207
- ISBN-13 / EAN: 9783110204209
- Binding: Hardcover
Product 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.
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