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Iterative Methods for Ill-Posed Problems: An Introduction: Inverse and Ill-Posed Problems Series, cartea 54

Autor Anatoly B. Bakushinsky, Mihail Yu. Kokurin, Alexandra Smirnova
en Limba Engleză Hardback – 31 dec 2010
Ill-posed problemsare 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 associated initial and boundary conditions.
Frequently, the study of applied optimization problems is also reduced to solving the corresponding equations.These equations, encountered both in theoretical and applied areas, may naturally be classified as operator equations. The current textbook will focus on iterative methods for operator equations in Hilbert spaces.
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Specificații

ISBN-13: 9783110250640
ISBN-10: 3110250640
Pagini: 147
Ilustrații: 10 schw.-w. Abb.
Dimensiuni: 240 x 170 x 15 mm
Greutate: 0.45 kg
Editura: De Gruyter
Colecția 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