Regularization Algorithms for Ill-Posed Problems

Language: English

Published by De Gruyter, De Gruyter Feb 2018, 2018

3110556308 / 9783110556308

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This item is printed on demand - Print on Demand Titel. Neuware -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 ProblemsDe Gruyter Mouton, Genthiner Straße 13, 10785 Berlin 342 pp. Englisch.…

Seller Inventory # 9783110556308

Title
Regularization Algorithms for Ill-Posed Problems
Author
Anatoly B. Bakushinsky
Publisher
De Gruyter, De Gruyter Feb 2018
Publication year
2018
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3110556308
ISBN 13
9783110556308
Item weight
760 grams
Dimensions
246x175x24 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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