Regularization of Ill-Posed Problems by Iteration Methods

Author:   S.F. Gilyazov ,  N.L. Gol'dman
Publisher:   Kluwer Academic Publishers
Edition:   2000 ed.
Volume:   499
ISBN:  

9780792361312


Pages:   342
Publication Date:   31 December 1999
Format:   Hardback
Availability:   In Print   Availability explained
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Regularization of Ill-Posed Problems by Iteration Methods


Overview

This volume presents new results in regularization of ill-posed problems by iteration methods, which is one of the most important and rapidly developing topics of the theory of ill-posed problems. The new theoretical results are connected with the proposed united approach to the proof of regularizing properties of the ""classical"" iteration methods (steepest descent, conjugate direction) complemented by the stopping rule depending on the level of errors in the input data. Much emphasis is given to the choice of the iteration index as the regularization parameter and to the rate convergence estimates of the approximate solutions. Results of calculations for important applications in non-linear thermophysics are also presented. This work should be a useful resource for specialists in the theory of partial differential and integral equations, in numerical analysis and in theory and methods.

Full Product Details

Author:   S.F. Gilyazov ,  N.L. Gol'dman
Publisher:   Kluwer Academic Publishers
Imprint:   Kluwer Academic Publishers
Edition:   2000 ed.
Volume:   499
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   1.490kg
ISBN:  

9780792361312


ISBN 10:   0792361318
Pages:   342
Publication Date:   31 December 1999
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Regularizing Algorithms for Linear Ill-Posed Problems: Unified Approach.- 2 Iteration Steepest Descent Methods for Linear Operator Equations.- 3 Iteration Conjugate Direction Methods for Linear Operator Equations.- 4 Iteration Steepest Descent Methods for Nonlinear Operator Equations.- 5 Iteration Methods for Ill-Posed Constrained Minimization Problems.- 6 Descriptive Regularization Algorithms on the Basis of the Conjugate Gradient Projection Method.

Reviews

The book will be useful for specialists who in their theoretical and applied investigations deal with ill-posed and inverse problems.' Mathematical Reviews Clippings (2001)


`The book will be useful for specialists who in their theoretical and applied investigations deal with ill-posed and inverse problems.' Mathematical Reviews Clippings (2001)


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