Iterative regularization methods for nonlinear ill-posed problems
Author(s)
Bibliographic Information
Iterative regularization methods for nonlinear ill-posed problems
（Radon series on computational and applied mathematics / managing editor Heinz W. Engl ; editors Hansjörg Albrecher ... [et al.], 6）
Walter de Gruyter, 2008
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Note
Includes bibliographical references
Description and Table of Contents
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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