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Nonlinear Programming and Variational Inequality Problems : A Unified Approach

Michael Patriksson

Edit� par Springer US, 1998

ISBN 10 : 0792354559 ISBN 13 : 9780792354550

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Etat : Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. Aus der Aufl�sung einer renommierten Bibliothek. Kann Stempel beinhalten. | Seiten: 356 | Sprache: Englisch | Produktart: B�cher. N� de r�f. du vendeur 3029187/203

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Nonlinear Programming and Variational Inequality Problems

Michael Patriksson

Edit� par Springer US, 1998

ISBN 10 : 0792354559 ISBN 13 : 9780792354550

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather di. N� de r�f. du vendeur 5968667

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Nonlinear Programming and Variational Inequality Problems

Michael Patriksson

Edit� par Springer US Nov 1998, 1998

ISBN 10 : 0792354559 ISBN 13 : 9780792354550

Neuf Couverture rigide

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather differently, are closely related to each other. This book is meant to help the reader understand and relate algorithms to each other in some intuitive fashion, and represents, in this respect, a consolidation of the field. The framework of algorithms presented in this book is called Cost Approxi mation. (The preface of the Ph.D. thesis [Pat93d] explains the background to the work that lead to the thesis, and ultimately to this book.) It describes, for a given formulation of a variational inequality or nonlinear programming problem, an algorithm by means of approximating mappings and problems, a principle for the update of the iteration points, and a merit function which guides and monitors the convergence of the algorithm. One purpose of this book is to offer this framework as an intuitively appeal ing tool for describing an algorithm. One of the advantages of the framework, or any reasonable framework for that matter, is that two algorithms may be easily related and compared through its use. This framework is particular in that it covers a vast number of methods, while still being fairly detailed; the level of abstraction is in fact the same as that of the original problem statement. 356 pp. Englisch. N� de r�f. du vendeur 9780792354550

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Nonlinear Programming and Variational Inequality Problems: A Unified Approach (Applied Optimization, 23)

Patriksson, Michael

Edit� par Springer, 1998

ISBN 10 : 0792354559 ISBN 13 : 9780792354550

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Nonlinear Programming and Variational Inequality Problems : A Unified Approach

Michael Patriksson

Edit� par Springer US, Springer New York, 1998

ISBN 10 : 0792354559 ISBN 13 : 9780792354550

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather differently, are closely related to each other. This book is meant to help the reader understand and relate algorithms to each other in some intuitive fashion, and represents, in this respect, a consolidation of the field. The framework of algorithms presented in this book is called Cost Approxi mation. (The preface of the Ph.D. thesis [Pat93d] explains the background to the work that lead to the thesis, and ultimately to this book.) It describes, for a given formulation of a variational inequality or nonlinear programming problem, an algorithm by means of approximating mappings and problems, a principle for the update of the iteration points, and a merit function which guides and monitors the convergence of the algorithm. One purpose of this book is to offer this framework as an intuitively appeal ing tool for describing an algorithm. One of the advantages of the framework, or any reasonable framework for that matter, is that two algorithms may be easily related and compared through its use. This framework is particular in that it covers a vast number of methods, while still being fairly detailed; the level of abstraction is in fact the same as that of the original problem statement. N� de r�f. du vendeur 9780792354550

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