Convex Analysis and Minimization Algorithms I: Fundamentals (Grundlehren der mathematischen Wissenschaften)
Hiriart-Urruty, Jean-Baptiste; Lemarechal, Claude
ISBN 10: 3642081614 ISBN 13: 9783642081613
Published by Springer, 2011
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In. Seller Inventory # ria9783642081613_new
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In the second printing of these two volumes 305 and 306 the authors have made various local improvements and corrections, and updated the bibliography. The index has been considerably augmented and refined.
Review: From the reviews: "... The book is very well written, nicely illustrated, and clearly understandable even for senior undergraduate students of mathematics... Throughout the book, the authors carefully follow the recommendation by A. Einstein: 'Everything should be made as simple as possible, but not simpler.'"
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Title: Convex Analysis and Minimization Algorithms ...
Publisher: Springer
Publication Date: 2011
Binding: Soft cover
Condition: New
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Convex Analysis and Minimization Algorithms I : Fundamentals
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ISBN 10: 3642081614
ISBN 13: 9783642081613
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Convex Analysis and Minimization Algorithms I
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ISBN 10: 3642081614
ISBN 13: 9783642081613
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. As such, it can easily be integrated into a graduate study curriculum. Minimization algorithms, more specifically those adap. Seller Inventory # 5047208
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Convex Analysis and Minimization Algorithms I: Fundamentals (Grundlehren der mathematischen Wissenschaften)
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Convex Analysis and Minimization Algorithms I : Fundamentals
Published by
Springer Berlin Heidelberg, 2011
ISBN 10: 3642081614
ISBN 13: 9783642081613
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. As such, it can easily be integrated into a graduate study curriculum. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research. These two topics making up the title of the book, reflect the two origins of the authors, who belong respectively to the academic world and to that of applications. Part I can be used as an introductory textbook (as a basis for courses, or for self-study); Part II continues this at a higher technical level and is addressed more to specialists, collecting results that so far have not appeared in books. Seller Inventory # 9783642081613
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Convex Analysis and Minimization Algorithms I
Published by
Springer Berlin Heidelberg Mai 2011, 2011
ISBN 10: 3642081614
ISBN 13: 9783642081613
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. As such, it can easily be integrated into a graduate study curriculum. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research. These two topics making up the title of the book, reflect the two origins of the authors, who belong respectively to the academic world and to that of applications. Part I can be used as an introductory textbook (as a basis for courses, or for self-study); Part II continues this at a higher technical level and is addressed more to specialists, collecting results that so far have not appeared in books. 440 pp. Englisch. Seller Inventory # 9783642081613
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Convex Analysis and Minimization Algorithms I
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ISBN 10: 3642081614
ISBN 13: 9783642081613
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Taschenbuch. Condition: Neu. Neuware -Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. As such, it can easily be integrated into a graduate study curriculum. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research. These two topics making up the title of the book, reflect the two origins of the authors, who belong respectively to the academic world and to that of applications. Part I can be used as an introductory textbook (as a basis for courses, or for self-study); Part II continues this at a higher technical level and is addressed more to specialists, collecting results that so far have not appeared in books.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 440 pp. Englisch. Seller Inventory # 9783642081613
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Convex Analysis and Minimization Algorithms I: Fundamentals (Grundlehren der mathematischen Wissenschaften)
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Convex Analysis and Minimization Algorithms I: Fundamentals
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Springer Berlin Heidelberg, 2010
ISBN 10: 3642081614
ISBN 13: 9783642081613
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