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Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis

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Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Hardcover) Loot Price: R5,071

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Repayment Terms: R475 pm x 12*

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Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Hardcover): Barbara Kaltenbacher, Andreas Neubauer, Otmar...

Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Hardcover)

Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer

Series: Radon Series on Computational and Applied Mathematics

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Loot Price R5,071 Discovery Miles 50 710 | Repayment Terms: R475 pm x 12*

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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.

General

Imprint:	De Gruyter
Country of origin:	Germany
Series:	Radon Series on Computational and Applied Mathematics
Release date:	May 2008
First published:	2008
Authors:	Barbara Kaltenbacher • Andreas Neubauer • Otmar Scherzer
Dimensions:	178 x 251 x 20mm (L x W x T)
Format:	Hardcover
Pages:	202
ISBN-13:	978-3-11-020420-9
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis Promotions
LSN:	3-11-020420-7
Barcode:	9783110204209