Iterative Methods for Ill-Posed Problems : : An Introduction / / Anatoly B. Bakushinsky, Alexandra Smirnova, Mihail Yu. Kokurin.
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 assoc...
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Superior document: | Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2010] ©2011 |
Year of Publication: | 2010 |
Language: | English |
Series: | Inverse and Ill-Posed Problems Series ,
54 |
Online Access: | |
Physical Description: | 1 online resource (136 p.) |
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Table of Contents:
- Frontmatter
- Preface
- Contents
- 1 The regularity condition. Newton’s method
- 2 The Gauss–Newton method
- 3 The gradient method
- 4 Tikhonov’s scheme
- 5 Tikhonov’s scheme for linear equations
- 6 The gradient scheme for linear equations
- 7 Convergence rates for the approximation methods in the case of linear irregular equations
- 8 Equations with a convex discrepancy functional by Tikhonov’s method
- 9 Iterative regularization principle
- 10 The iteratively regularized Gauss–Newton method
- 11 The stable gradient method for irregular nonlinear equations
- 12 Relative computational efficiency of iteratively regularized methods
- 13 Numerical investigation of two-dimensional inverse gravimetry problem
- 14 Iteratively regularized methods for inverse problem in optical tomography
- 15 Feigenbaum’s universality equation
- 16 Conclusion
- References
- Index