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Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Computational and Applied Mathematics)

Posted on 2010-04-13




Name:Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Computational and Applied Mathematics)
ASIN/ISBN:3110204207
Author:Kaltenbacher, Barbara
Publisher:Walter de Gruyter (2008)
Language:English
Pages:Hardcover, 196 pages
File size:3.5 Mb
   Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Computational and Applied Mathematics)

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Author: Kaltenbacher, Barbara


Publisher: Walter de Gruyter (2008)


Binding: Hardcover, 196 pages


pricer: $109.00


ISBN-10: 3110204207


editorialreviews

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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