Regularization Algorithms for Ill-Posed Problems: 61 (Inverse and Ill-Posed Problems Series, 61) - Tapa dura
Sinopsis
This specialized and authoritative book contains an overview of modern approaches to constructing approximations to solutions of ill-posed operator equations, both linear and nonlinear. These approximation schemes form a basis for implementable numerical algorithms for the stable solution of operator equations arising in contemporary mathematical modeling, and in particular when solving inverse problems of mathematical physics. The book presents in detail stable solution methods for ill-posed problems using the methodology of iterative regularization of classical iterative schemes and the techniques of finite dimensional and finite difference approximations of the problems under study. Special attention is paid to ill-posed Cauchy problems for linear operator differential equations and to ill-posed variational inequalities and optimization problems. The readers are expected to have basic knowledge in functional analysis and differential equations. The book will be of interest to applied mathematicians and specialists in mathematical modeling and inverse problems, and also to advanced students in these fields. ContentsIntroductionRegularization Methods For Linear EquationsFinite Difference MethodsIterative Regularization MethodsFinite-Dimensional Iterative ProcessesVariational Inequalities and Optimization Problems
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Acerca del autor
Anatoly B. Bakushinsky, Russian Academy of Sciences, Russia; Mihail M. Kokurin and Mihail Yu. Kokurin, Mari State University, Russia.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Regularization Algorithms for Ill-Posed Problems
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De Gruyter, De Gruyter Feb 2018, 2018
ISBN 10: 3110556308
ISBN 13: 9783110556308
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This specialized and authoritative book contains an overview of modern approaches to constructing approximations to solutions of ill-posed operator equations, both linear and nonlinear. These approximation schemes form a basis for implementable numerical algorithms for the stable solution of operator equations arising in contemporary mathematical modeling, and in particular when solving inverse problems of mathematical physics. The book presents in detail stable solution methods for ill-posed problems using the methodology of iterative regularization of classical iterative schemes and the techniques of finite dimensional and finite difference approximations of the problems under study. Special attention is paid to ill-posed Cauchy problems for linear operator differential equations and to ill-posed variational inequalities and optimization problems. The readers are expected to have basic knowledge in functional analysis and differential equations. The book will be of interest to applied mathematicians and specialists in mathematical modeling and inverse problems, and also to advanced students in these fields. ContentsIntroductionRegularization Methods For Linear EquationsFinite Difference MethodsIterative Regularization MethodsFinite-Dimensional Iterative ProcessesVariational Inequalities and Optimization Problems 342 pp. Englisch. Nº de ref. del artículo: 9783110556308
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Regularization Algorithms for Ill-Posed Problems
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Regularization Algorithms for Ill-Posed Problems (Inverse and Ill-Posed Problems Series, 61)
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Regularization Algorithms for Ill-Posed Problems
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Regularization Algorithms for Ill-Posed Problems
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Anatoly B. Bakushinsky, Russian Academy of Sciences, Russia Mihail M. Kokurin and Mihail Yu. Kokurin, Mari State University, Russia.This specialized and authoritative book contains an overview o. Nº de ref. del artículo: 158156215
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Regularization Algorithms for Ill-Posed Problems (Inverse and Ill-Posed Problems Series, 61)
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Regularization Algorithms for Ill-Posed Problems
Publicado por
De Gruyter, De Gruyter Feb 2018, 2018
ISBN 10: 3110556308
ISBN 13: 9783110556308
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware -This specialized and authoritative book contains an overview of modern approaches to constructing approximations to solutions of ill-posed operator equations, both linear and nonlinear. These approximation schemes form a basis for implementable numerical algorithms for the stable solution of operator equations arising in contemporary mathematical modeling, and in particular when solving inverse problems of mathematical physics. The book presents in detail stable solution methods for ill-posed problems using the methodology of iterative regularization of classical iterative schemes and the techniques of finite dimensional and finite difference approximations of the problems under study. Special attention is paid to ill-posed Cauchy problems for linear operator differential equations and to ill-posed variational inequalities and optimization problems. The readers are expected to have basic knowledge in functional analysis and differential equations. The book will be of interest to applied mathematicians and specialists in mathematical modeling and inverse problems, and also to advanced students in these fields.ContentsIntroductionRegularization Methods For Linear EquationsFinite Difference MethodsIterative Regularization MethodsFinite-Dimensional Iterative ProcessesVariational Inequalities and Optimization ProblemsWalter de Gruyter GmbH, Genthiner Strasse 13, 10785 Berlin 342 pp. Englisch. Nº de ref. del artículo: 9783110556308
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Regularization Algorithms for Ill-Posed Problems
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 342 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Nº de ref. del artículo: 29085716/12
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Regularization Algorithms for Ill-Posed Problems
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. Neuware - This specialized and authoritative book contains an overview of modern approaches to constructing approximations to solutions of ill-posed operator equations, both linear and nonlinear. These approximation schemes form a basis for implementable numerical algorithms for the stable solution of operator equations arising in contemporary mathematical modeling, and in particular when solving inverse problems of mathematical physics. The book presents in detail stable solution methods for ill-posed problems using the methodology of iterative regularization of classical iterative schemes and the techniques of finite dimensional and finite difference approximations of the problems under study. Special attention is paid to ill-posed Cauchy problems for linear operator differential equations and to ill-posed variational inequalities and optimization problems. The readers are expected to have basic knowledge in functional analysis and differential equations. The book will be of interest to applied mathematicians and specialists in mathematical modeling and inverse problems, and also to advanced students in these fields. ContentsIntroductionRegularization Methods For Linear EquationsFinite Difference MethodsIterative Regularization MethodsFinite-Dimensional Iterative ProcessesVariational Inequalities and Optimization Problems. Nº de ref. del artículo: 9783110556308
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Regularization Algorithms for Ill-Posed Problems
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De Gruyter, DE, 2018
ISBN 10: 3110556308
ISBN 13: 9783110556308
Nuevo
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardback. Condición: New. 1st. This specialized and authoritative book contains an overview of modern approaches to constructing approximations to solutions of ill-posed operator equations, both linear and nonlinear. These approximation schemes form a basis for implementable numerical algorithms for the stable solution of operator equations arising in contemporary mathematical modeling, and in particular when solving inverse problems of mathematical physics. The book presents in detail stable solution methods for ill-posed problems using the methodology of iterative regularization of classical iterative schemes and the techniques of finite dimensional and finite difference approximations of the problems under study. Special attention is paid to ill-posed Cauchy problems for linear operator differential equations and to ill-posed variational inequalities and optimization problems. The readers are expected to have basic knowledge in functional analysis and differential equations. The book will be of interest to applied mathematicians and specialists in mathematical modeling and inverse problems, and also to advanced students in these fields. ContentsIntroductionRegularization Methods For Linear EquationsFinite Difference MethodsIterative Regularization MethodsFinite-Dimensional Iterative ProcessesVariational Inequalities and Optimization Problems. Nº de ref. del artículo: LU-9783110556308
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