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Hardcover. Condition: Fine. 0792338405 Fine/As New; Hardcover; Covers are still glossy with "sharp" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Blue covers with title in black lettering; 1996, Springer-Verlag Publishing; 222 pages; "Stochastic Decomposition: A Statistical Method for Large Scale Stochastic Linear Programming (Nonconvex Optimization and Its Applications)," by Julia L. Higle & S. Sen.
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Stochastic Decomposition: A Statistical Method for Large Scale Stochastic Linear Programming (Nonconvex Optimization and Its Applications)
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Stochastic Decomposition: A Statistical Method for Large Scale Stochastic Linear Programming (Nonconvex Optimization and Its Applications, 8)
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Condition: New. pp. 248.
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Condition: New. pp. 248.
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Stochastic Decomposition : A Statistical Method for Large Scale Stochastic Linear Programming
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Stochastic Decomposition
Language: English
Published by Kluwer Academic Publishers, 1996
ISBN 10: 0792338405 ISBN 13: 9780792338406
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Condition: New. Summarizes developments related to a class of methods called Stochastic Decomposition (SD) algorithms, which represent an important shift in the design of optimization algorithms. This title is suitable for researchers in mathematical optimization, including those working in telecommunications and electric power generation. Series: Nonconvex Optimization and Its Applications. Num Pages: 246 pages, biography. BIC Classification: PBT; PBW; UM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 15. Weight in Grams: 1160. . 1996. Hardback. . . . .
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Add to basketPaperback. Condition: Brand New. reprint edition. 246 pages. 9.25x6.10x0.56 inches. In Stock.
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Stochastic Decomposition
Language: English
Published by Kluwer Academic Publishers, 1996
ISBN 10: 0792338405 ISBN 13: 9780792338406
Condition: New. Summarizes developments related to a class of methods called Stochastic Decomposition (SD) algorithms, which represent an important shift in the design of optimization algorithms. This title is suitable for researchers in mathematical optimization, including those working in telecommunications and electric power generation. Series: Nonconvex Optimization and Its Applications. Num Pages: 246 pages, biography. BIC Classification: PBT; PBW; UM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 15. Weight in Grams: 1160. . 1996. Hardback. . . . . Books ship from the US and Ireland.
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US$ 151.09
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Add to basketGebunden. Condition: New. Motivation Stochastic Linear Programming with recourse represents one of the more widely applicable models for incorporating uncertainty within in which the SLP optimization models. There are several arenas model is appropriate, and such models have found a.
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Stochastic Decomposition : A Statistical Method for Large Scale Stochastic Linear Programming
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Add to basketHardcover. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Stochastic Decomposition : A Statistical Method for Large Scale Stochastic Linear Programming
Language: English
Published by Springer Us Feb 1996, 1996
ISBN 10: 0792338405 ISBN 13: 9780792338406
Buch. Condition: Neu. Neuware - Motivation Stochastic Linear Programming with recourse represents one of the more widely applicable models for incorporating uncertainty within in which the SLP optimization models. There are several arenas model is appropriate, and such models have found applications in air line yield management, capacity planning, electric power generation planning, financial planning, logistics, telecommunications network planning, and many more. In some of these applications, modelers represent uncertainty in terms of only a few seenarios and formulate a large scale linear program which is then solved using LP software. However, there are many applications, such as the telecommunications planning problem discussed in this book, where a handful of seenarios do not capture variability well enough to provide a reasonable model of the actual decision-making problem. Problems of this type easily exceed the capabilities of LP software by several orders of magnitude. Their solution requires the use of algorithmic methods that exploit the structure of the SLP model in a manner that will accommodate large scale applications.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Motivation Stochastic Linear Programming with recourse represents one of the more widely applicable models for incorporating uncertainty within in which the SLP optimization models. There are several arenas model is appropriate, and such models have found a.
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US$ 163.94
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Add to basketCondition: New. Print on Demand pp. 248 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Add to basketCondition: New. Print on Demand pp. 248 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Stochastic Decomposition: A Statistical Method for Large Scale Stochastic Linear Programming
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Condition: New. PRINT ON DEMAND pp. 248.
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Condition: New. PRINT ON DEMAND pp. 248.
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Taschenbuch. Condition: Neu. Stochastic Decomposition | A Statistical Method for Large Scale Stochastic Linear Programming | Julia L. Higle (u. a.) | Taschenbuch | xxiv | Englisch | 2013 | Springer | EAN 9781461368458 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
