Iterative regularization methods for nonlinear ill-posed problems /

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Bibliographic Details
Author / Creator:Kaltenbacher, Barbara.
Imprint:Berlin ; New York : Walter de Gruyter, ©2008.
Description:1 online resource (viii, 200 pages) : illustrations
Language:English
Series:Radon series on computational and applied mathematics, 1865-3707 ; 6
Radon series on computational and applied mathematics ; 6.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11186349
Hidden Bibliographic Details
Other authors / contributors:Neubauer, Andreas.
Scherzer, Otmar, 1964-
ISBN:9783110208276
311020827X
9783110204209
3110204207
Notes:Includes bibliographical references (pages 183-192) and index.
Restrictions unspecified
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2011.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212
In English.
digitized 2011 HathiTrust Digital Library committed to preserve
Print version record.
Summary: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.
Other form:Print version: Kaltenbacher, Barbara. Iterative regularization methods for nonlinear ill-posed problems. Berlin ; New York : Walter de Gruyter, ©2008 9783110204209 3110204207
Standard no.:10.1515/9783110208276

MARC

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260 |a Berlin ;  |a New York :  |b Walter de Gruyter,  |c ©2008. 
300 |a 1 online resource (viii, 200 pages) :  |b illustrations 
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505 0 |a Frontmatter; Contents; 1 Introduction; 2 Nonlinear Landweber iteration; 3 Modified Landweber methods; 4 Newton type methods; 5 Multilevel methods; 6 Level set methods; 7 Applications; 8 Comments; Backmatter. 
520 |a 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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