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Published by Springer (edition Softcover reprint of the original 4th ed. 2016), 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Paperback. Condition: Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported Softcover reprint of the original 4th ed. 2016.
Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer 2016-10, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer International Publishing Okt 2016, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is a self-contained introduction to linear programming. The presentation in this part is fairly conventional, covering the main elements of the underlying theory of linear programming, many of the most effective numerical algorithms, and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and an introduction to basic algorithms. This part of the book explores the general properties of algorithms and defines various notions of convergence. Part III extends the concepts developed in the second part to constrained optimization problems. Except for a few isolated sections, this part is also independent of Part I. It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities.New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming. Indeed, many conic structures are possible and useful in a variety of applications. It must be recognized, however, that conic linear programming is an advanced topic, requiring special study. Another important topic is an accelerated steepest descent method that exhibits superior convergence properties, and for this reason, has become quite popular. The proof of the convergence property for both standard and accelerated steepest descent methods are presented in Chapter 8. As in previous editions, end-of-chapter exercises appear for all chapters.From the reviews of the Third Edition:'. this very well-written book is a classic textbook in Optimization. It should be present in the bookcase of each student, researcher, and specialist from the host of disciplines from which practical optimization applications are drawn.' (Jean-Jacques Strodiot, Zentralblatt MATH, Vol. 1207, 2011) 560 pp. Englisch.
Published by Springer International Publishing, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Complete updating of bestselling text in the fieldEntirely new chapter on Semidefinite Programming Includes end-of-chapter exercisesDavid G. Luenberger received the B.S. degree from the California Institute of Tec.
Published by Springer International Publishing, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is a self-contained introduction to linear programming. The presentation in this part is fairly conventional, covering the main elements of the underlying theory of linear programming, many of the most effective numerical algorithms, and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and an introduction to basic algorithms. This part of the book explores the general properties of algorithms and defines various notions of convergence. Part III extends the concepts developed in the second part to constrained optimization problems. Except for a few isolated sections, this part is also independent of Part I. It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities.New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming. Indeed, many conic structures are possible and useful in a variety of applications. It must be recognized, however, that conic linear programming is an advanced topic, requiring special study. Another important topic is an accelerated steepest descent method that exhibits superior convergence properties, and for this reason, has become quite popular. The proof of the convergence property for both standard and accelerated steepest descent methods are presented in Chapter 8. As in previous editions, end-of-chapter exercises appear for all chapters.From the reviews of the Third Edition:'. this very well-written book is a classic textbook in Optimization. It should be present in the bookcase of each student, researcher, and specialist from the host of disciplines from which practical optimization applications are drawn.' (Jean-Jacques Strodiot, Zentralblatt MATH, Vol. 1207, 2011).
Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
Seller: Russell Books, Victoria, BC, Canada
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Published by Springer Verlag, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 4th reprint edition. 559 pages. 9.25x6.10x1.18 inches. In Stock.
Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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Published by Springer, 2016
ISBN 10: 3319374397ISBN 13: 9783319374390
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