Iterative regularization methods for nonlinear ill-posed problems / Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer.

By:

Kaltenbacher, Barbara

Contributor(s):

Material type: Text

TextSeries: Radon series on computational and applied mathematics ; 6.Publication details: Berlin ; New York : Walter de Gruyter, ©2008.Description: 1 online resource (viii, 200 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783110208276
311020827X
9783110204209
3110204207

Subject(s): Genre/Form:

Additional physical formats: Print version:: Iterative regularization methods for nonlinear ill-posed problems.DDC classification:

515/.353 22

LOC classification:

QA377 .K35 2008eb

Other classification:

00-02 | 47A52 | 65-02 | 65J15 | 65J20 | 65J22 | 65N21
SK 910

Online resources:

Click here to access online

Contents:

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.

Action note:

digitized 2011 HathiTrust Digital Library committed to preserve

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.

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references (pages 183-192) and index.

Print version record.

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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Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2011. MiAaHDL

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. MiAaHDL

http://purl.oclc.org/DLF/benchrepro0212

digitized 2011 HathiTrust Digital Library committed to preserve pda MiAaHDL

In English.

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