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| Language | English |
| Format | PDF (Premium Digital) |
| Ownership | Permanent download — yours forever |
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| 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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"Left Kindle behind after they removed a book I was reading mid-series. With this PDF, nobody can take it away from me. True ownership feels good."
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"My Kindle subscription was getting expensive. Switched to buying PDFs here and I'm saving money while actually building a permanent digital library I control."
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