Iterative regularization methods for nonlinear ill-posed problems
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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.
LF/143080/R
Data sheet
- Name of the Author
- Barbara
Kaltenbacher - Language
- English
- Series
- Computational and Applied Mathematics
- ISBN
- 9783110208276
- Release date
- 2008
15 books by the same author:
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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...