Français
France
s'inscrire
Conseils d'eurolivre.fr
Livres similaires
Autres livres qui pourraient ressembler au livre recherché:
Outils de recherche
Livre conseillé
Actualités
Publicité
FILTRE
- 0 Résultats
prix le plus bas: 109,99 €, prix le plus élevé: 151,42 €, prix moyen: 130,21 €
Regularization of Ill-Posed Problems by Iteration Methods - S. F. Gilyazov#N. L. Gol´dman
Livre non disponible
(*)
S. F. Gilyazov#N. L. Gol´dman:
Regularization of Ill-Posed Problems by Iteration Methods - nouveau livre

ISBN: 9780792361312

ID: 139860311

Iteration regularization, i.e., utilization of iteration methods of any form for the stable approximate solution of ill-posed problems, is one of the most important but still insufficiently developed topics of the new theory of ill-posed problems. In this monograph, a general approach to the justification of iteration regulari zation algorithms is developed, which allows us to consider linear and nonlinear methods from unified positions. Regularization algorithms are the 'classical' iterative methods (steepest descent methods, conjugate direction methods, gradient projection methods, etc.) complemented by the stopping rule depending on level of errors in input data. They are investigated for solving linear and nonlinear operator equations in Hilbert spaces. Great attention is given to the choice of iteration index as the regularization parameter and to estimates of errors of approximate solutions. Stabilizing properties such as smoothness and shape constraints imposed on the solution are used. On the basis of these investigations, we propose and establish efficient regularization algorithms for stable numerical solution of a wide class of ill-posed problems. In particular, descriptive regularization algorithms, utilizing a priori information about the qualitative behavior of the sought solution and ensuring a substantial saving in computational costs, are considered for model and applied problems in nonlinear thermophysics. The results of calculations for important applications in various technical fields (a continuous casting, the treatment of materials and perfection of heat-protective systems using laser and composite technologies) are given. Regularization of Ill-Posed Problems by Iteration Methods Buch (fremdspr.) gebundene Ausgabe 31.12.1999 Bücher>Fremdsprachige Bücher>Englische Bücher, Springer Netherlands, .199

Nouveaux livres Orellfuessli.ch
No. 11430332. Frais d'envoiZzgl. Versandkosten. (EUR 15.57)
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Regularization of Ill-Posed Problems by Iteration Methods - N. L. Gol´dman#S. F. Gilyazov
Livre non disponible
(*)
N. L. Gol´dman#S. F. Gilyazov:
Regularization of Ill-Posed Problems by Iteration Methods - nouveau livre

ISBN: 9780792361312

ID: 139860311

Iteration regularization, i.e., utilization of iteration methods of any form for the stable approximate solution of ill-posed problems, is one of the most important but still insufficiently developed topics of the new theory of ill-posed problems. In this monograph, a general approach to the justification of iteration regulari zation algorithms is developed, which allows us to consider linear and nonlinear methods from unified positions. Regularization algorithms are the 'classical' iterative methods (steepest descent methods, conjugate direction methods, gradient projection methods, etc.) complemented by the stopping rule depending on level of errors in input data. They are investigated for solving linear and nonlinear operator equations in Hilbert spaces. Great attention is given to the choice of iteration index as the regularization parameter and to estimates of errors of approximate solutions. Stabilizing properties such as smoothness and shape constraints imposed on the solution are used. On the basis of these investigations, we propose and establish efficient regularization algorithms for stable numerical solution of a wide class of ill-posed problems. In particular, descriptive regularization algorithms, utilizing a priori information about the qualitative behavior of the sought solution and ensuring a substantial saving in computational costs, are considered for model and applied problems in nonlinear thermophysics. The results of calculations for important applications in various technical fields (a continuous casting, the treatment of materials and perfection of heat-protective systems using laser and composite technologies) are given. Regularization of Ill-Posed Problems by Iteration Methods Buch (fremdspr.) gebundene Ausgabe 31.12.1999 Bücher>Fremdsprachige Bücher>Englische Bücher, Springer, .199

Nouveaux livres Orellfuessli.ch
No. 11430332. Frais d'envoizzgl. Versandkosten. (EUR 15.59)
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Regularization of Ill-Posed Problems by Iteration Methods - N. L. Gol´dman#S. F. Gilyazov
Livre non disponible
(*)
N. L. Gol´dman#S. F. Gilyazov:
Regularization of Ill-Posed Problems by Iteration Methods - nouveau livre

ISBN: 9780792361312

ID: 217933818

Iteration regularization, i.e., utilization of iteration methods of any form for the stable approximate solution of ill-posed problems, is one of the most important but still insufficiently developed topics of the new theory of ill-posed problems. In this monograph, a general approach to the justification of iteration regulari­ zation algorithms is developed, which allows us to consider linear and nonlinear methods from unified positions. Regularization algorithms are the ´classical´ iterative methods (steepest descent methods, conjugate direction methods, gradient projection methods, etc.) complemented by the stopping rule depending on level of errors in input data. They are investigated for solving linear and nonlinear operator equations in Hilbert spaces. Great attention is given to the choice of iteration index as the regularization parameter and to estimates of errors of approximate solutions. Stabilizing properties such as smoothness and shape constraints imposed on the solution are used. On the basis of these investigations, we propose and establish efficient regularization algorithms for stable numerical solution of a wide class of ill-posed problems. In particular, descriptive regularization algorithms, utilizing a priori information about the qualitative behavior of the sought solution and ensuring a substantial saving in computational costs, are considered for model and applied problems in nonlinear thermophysics. The results of calculations for important applications in various technical fields (a continuous casting, the treatment of materials and perfection of heat-protective systems using laser and composite technologies) are given. Regularization of Ill-Posed Problems by Iteration Methods Bücher > Fremdsprachige Bücher > Englische Bücher gebundene Ausgabe 31.12.1999 Buch (fremdspr.), Springer, .199

Nouveaux livres Buch.ch
No. 11430332 Frais d'envoizzgl. Versandkosten, Livraison non-comprise
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Regularization of Ill-Posed Problems by Iteration Methods - S. F. Gilyazov#N. L. Gol´dman
Livre non disponible
(*)
S. F. Gilyazov#N. L. Gol´dman:
Regularization of Ill-Posed Problems by Iteration Methods - nouveau livre

ISBN: 9780792361312

ID: 153281668

Iteration regularization, i.e., utilization of iteration methods of any form for the stable approximate solution of ill-posed problems, is one of the most important but still insufficiently developed topics of the new theory of ill-posed problems. In this monograph, a general approach to the justification of iteration regulari zation algorithms is developed, which allows us to consider linear and nonlinear methods from unified positions. Regularization algorithms are the 'classical' iterative methods (steepest descent methods, conjugate direction methods, gradient projection methods, etc.) complemented by the stopping rule depending on level of errors in input data. They are investigated for solving linear and nonlinear operator equations in Hilbert spaces. Great attention is given to the choice of iteration index as the regularization parameter and to estimates of errors of approximate solutions. Stabilizing properties such as smoothness and shape constraints imposed on the solution are used. On the basis of these investigations, we propose and establish efficient regularization algorithms for stable numerical solution of a wide class of ill-posed problems. In particular, descriptive regularization algorithms, utilizing a priori information about the qualitative behavior of the sought solution and ensuring a substantial saving in computational costs, are considered for model and applied problems in nonlinear thermophysics. The results of calculations for important applications in various technical fields (a continuous casting, the treatment of materials and perfection of heat-protective systems using laser and composite technologies) are given. Regularization of Ill-Posed Problems by Iteration Methods Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer Netherlands

Nouveaux livres Thalia.de
No. 11430332. Frais d'envoi, Versandfertig in 3 - 5 Tagen, DE. (EUR 0.00)
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Regularization of Ill-Posed Problems by Iteration Methods - N. L. Gol'dman#S. F. Gilyazov
Livre non disponible
(*)
N. L. Gol'dman#S. F. Gilyazov:
Regularization of Ill-Posed Problems by Iteration Methods - nouveau livre

ISBN: 9780792361312

ID: b7b6835c38a0da834dd7c59113e48120

Regularization of Ill-Posed Problems by Iteration Methods Iteration regularization, i.e., utilization of iteration methods of any form for the stable approximate solution of ill-posed problems, is one of the most important but still insufficiently developed topics of the new theory of ill-posed problems. In this monograph, a general approach to the justification of iteration regulari­ zation algorithms is developed, which allows us to consider linear and nonlinear methods from unified positions. Regularization algorithms are the 'classical' iterative methods (steepest descent methods, conjugate direction methods, gradient projection methods, etc.) complemented by the stopping rule depending on level of errors in input data. They are investigated for solving linear and nonlinear operator equations in Hilbert spaces. Great attention is given to the choice of iteration index as the regularization parameter and to estimates of errors of approximate solutions. Stabilizing properties such as smoothness and shape constraints imposed on the solution are used. On the basis of these investigations, we propose and establish efficient regularization algorithms for stable numerical solution of a wide class of ill-posed problems. In particular, descriptive regularization algorithms, utilizing a priori information about the qualitative behavior of the sought solution and ensuring a substantial saving in computational costs, are considered for model and applied problems in nonlinear thermophysics. The results of calculations for important applications in various technical fields (a continuous casting, the treatment of materials and perfection of heat-protective systems using laser and composite technologies) are given. Bücher / Fremdsprachige Bücher / Englische Bücher 978-0-7923-6131-2, Springer

Nouveaux livres Buch.de
Nr. 11430332 Frais d'envoiBücher und alle Bestellungen die ein Buch enthalten sind versandkostenfrei, sonstige Bestellungen innerhalb Deutschland EUR 3,-, ab EUR 20,- kostenlos, Bürobedarf EUR 4,50, kostenlos ab EUR 45,-, Versandfertig in 5 - 7 Tagen, zzgl. Versandkosten, Livraison non-comprise
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.

Détails sur le livre
Regularization of Ill-Posed Problems by Iteration Methods

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. Audience: This work will be a useful resource for specialists in the theory of partial differential and integral equations, in numerical analysis and in theory and methods.

Informations détaillées sur le livre - Regularization of Ill-Posed Problems by Iteration Methods


EAN (ISBN-13): 9780792361312
ISBN (ISBN-10): 0792361318
Version reliée
Date de parution: 1999
Editeur: Springer-Verlag GmbH
356 Pages
Poids: 0,695 kg
Langue: eng/Englisch

Livre dans la base de données depuis 29.03.2007 04:25:17
Livre trouvé récemment le 08.11.2017 07:54:18
ISBN/EAN: 9780792361312

ISBN - Autres types d'écriture:
0-7923-6131-8, 978-0-7923-6131-2


< pour archiver...
Livres en relation