Regularization Algorithms for Ill-Posed Problems / / Anatoly B. Bakushinsky, Mikhail M. Kokurin, Mikhail Yu. Kokurin.
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 operato...
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| Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2018 Part 1 |
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| VerfasserIn: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2018] ©2018 |
| Year of Publication: | 2018 |
| Language: | English |
| Series: | Inverse and Ill-Posed Problems Series ,
61 |
| Online Access: | |
| Physical Description: | 1 online resource (XVI, 326 p.) |
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Table of Contents:
- Frontmatter
- Preface
- Contents
- 1 Introduction
- 2 Regularization Methods For Linear Equations
- 3 Regularization of Ill-Posed Cauchy Problems by Finite Difference Methods
- 4 Iterative Regularization Methods For Nonlinear Equations
- 5 Finite-Dimensional Iterative Processes for Irregular Nonlinear Equations
- 6 Regularization of Nonlinear Variational Inequalities and Optimization Problems
- Bibliography
- Index