Iterative Regularization Methods for Nonlinear Ill Posed Problems

This book PDF is perfect for those who love Mathematics genre, written by Barbara Kaltenbacher and published by Walter de Gruyter which was released on 25 September 2008 with total hardcover pages 205. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Iterative Regularization Methods for Nonlinear Ill Posed Problems books below.

Iterative Regularization Methods for Nonlinear Ill Posed Problems
Author : Barbara Kaltenbacher
File Size : 51,9 Mb
Publisher : Walter de Gruyter
Language : English
Release Date : 25 September 2008
ISBN : 9783110208276
Pages : 205 pages
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Iterative Regularization Methods for Nonlinear Ill Posed Problems by Barbara Kaltenbacher Book PDF 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.

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 are based on iteration methods, e.g., nonlinear

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Regularization of Ill Posed Problems by Iteration Methods

Iteration regularization, i.e., utilization of iteration methods of any form for the stable approximate solution of ill-posed problems, is one of the most important but still insufficiently developed topics of the new theory of ill-posed problems. In this monograph, a general approach to the justification of iteration regulari zation

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Regularization of Ill Posed Problems by Iteration Methods

Iteration regularization, i.e., utilization of iteration methods of any form for the stable approximate solution of ill-posed problems, is one of the most important but still insufficiently developed topics of the new theory of ill-posed problems. In this monograph, a general approach to the justification of iteration regulari zation

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Iterative Methods for Ill posed Problems

Ill-posed problems are encountered in countless areas of real world science and technology. A variety of processes in science and engineering is commonly modeled by algebraic, differential, integral and other equations. In a more difficult case, it can be systems of equations combined with the associated initial and boundary conditions.

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Regularization Algorithms for Ill Posed Problems

This specialized and authoritative book contains an overview of modern approaches to constructing approximations to solutions of ill-posed operator equations, both linear and nonlinear. These approximation schemes form a basis for implementable numerical algorithms for the stable solution of operator equations arising in contemporary mathematical modeling, and in particular when

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Thismonograph is a valuable contribution to thehighly topical and extremly productive field ofregularisationmethods for inverse and ill-posed problems. The author is an internationally outstanding and acceptedmathematicianin this field. In his book he offers a well-balanced mixtureof basic and innovative aspects.He demonstrates new,differentiatedviewpoints, and important examples for applications. The

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Regularization of Inverse Problems

This book is devoted to the mathematical theory of regularization methods and gives an account of the currently available results about regularization methods for linear and nonlinear ill-posed problems. Both continuous and iterative regularization methods are considered in detail with special emphasis on the development of parameter choice and stopping

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