Regularization Algorithms for Ill-Posed Problems by Anatoly B Bakushinsky ISBN 9783110556308
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Regularization Algorithms for Ill-Posed Problems by Anatoly B Bakushinsky ISBN 9783110556308

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Regularization Algorithms for Ill-Posed Problems by Anatoly B Bakushinsky

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 solving inverse problems of mathematical physics. The book presents in detail stable solution methods for ill-posed problems using the methodology of iterative regularization of classical iterative schemes and the techniques of finite dimensional and finite difference approximations of the problems under study. Special attention is paid to ill-posed Cauchy problems for linear operator differential equations and to ill-posed variational inequalities and optimization problems. The readers are expected to have basic knowledge in functional analysis and differential equations. The book will be of interest to applied mathematicians and specialists in mathematical modeling and inverse problems, and also to advanced students in these fields. ContentsIntroductionRegularization Methods For Linear EquationsFinite Difference MethodsIterative Regularization MethodsFinite-Dimensional Iterative ProcessesVariational Inequalities and Optimization Problems

Book details

SKU NLS9783110556308
ISBN 13 9783110556308
ISBN 10 3110556308
Author Anatoly B Bakushinsky
Series Inverse And Ill-Posed Problems Series
Condition New
Binding Type Hardback
Publisher De Gruyter
Year published 2018-02-05
Number of pages 342
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

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