Iterative Regularization Methods for Nonlinear Ill-posed Problems.

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 a...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Kaltenbacher, Barbara
Other Authors: Neubauer, Andreas, Scherzer, Otmar
Format: Electronic eBook
Language:English
Published: Berlin : Walter de Gruyter, 2008
Series:Radon Series on Computational and Applied Mathematics, v. 6.
Subjects:
Local Note:ProQuest Ebook Central

MARC

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245 1 0 |a Iterative Regularization Methods for Nonlinear Ill-posed Problems. 
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505 0 0 |t Frontmatter --  |t Contents --  |t 1 Introduction --  |t 2 Nonlinear Landweber iteration --  |t 3 Modified Landweber methods --  |t 4 Newton type methods --  |t 5 Multilevel methods --  |t 6 Level set methods --  |t 7 Applications --  |t 8 Comments --  |t Backmatter. 
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650 0 |a Differential equations, Partial  |x Improperly posed problems. 
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700 1 |a Neubauer, Andreas. 
700 1 |a Scherzer, Otmar. 
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