Iterative Regularization Methods for Nonlinear Ill-Posed Problems
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Nonlinear inverse problems result from 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.
From the contents:
- Nonlinear Landweber iteration
- Modified Landweber methods
- Newton type methods
- Multilevel methods
- Level set methods
- Applications
"This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems."
Thorsten Hohage in: Mathematical Reviews 2010c
Get Iterative Regularization Methods for Nonlinear Ill-Posed Problems by Andreas Neubauer, Barbara Kaltenbacher at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by De Gruyter and it has 202 pages.
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