Iterative Methods for Ill-Posed Problems: An Introduction: Inverse and Ill-Posed Problems Series, cartea 54
Autor Anatoly B. Bakushinsky, Mihail Yu. Kokurin, Alexandra Smirnovaen Mixed media product – 31 dec 2010
Din seria Inverse and Ill-Posed Problems Series
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Specificații
ISBN-13: 9783112189566
ISBN-10: 3112189566
Ilustrații: Includes a print version and an ebook
Dimensiuni: 240 x 170 mm
Ediția:
Editura: De Gruyter
Seria Inverse and Ill-Posed Problems Series
Locul publicării:Berlin/Boston
ISBN-10: 3112189566
Ilustrații: Includes a print version and an ebook
Dimensiuni: 240 x 170 mm
Ediția:
Editura: De Gruyter
Seria Inverse and Ill-Posed Problems Series
Locul publicării:Berlin/Boston
Notă biografică
Anatoly B. Bakushinsky, Institute of System Analysis,Russian Academy of Sciences, Moscow, Russia; Mihail Yu. Kokurin, Mari State Technical University, Yoshkar-Ola, Russia; Alexandra Smirnova, Georgia State University, Atlanta, Georgia, USA.
Cuprins
AD> 1 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