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 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 pages.
