Practical Optimization, Andreas Antoniou; Wu-Sheng Lu

Автор: Sundaram, Rangarajan K.
Название: A First Course in Optimization Theory
ISBN: 0521497701 ISBN-13(EAN): 9780521497701
Издательство: Cambridge Academ
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Цена: 45410.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines.

Автор: Scherz Paul, Monk Simon, Scherz
Название: Practical Electronics for Inventors
ISBN: 0071771336 ISBN-13(EAN): 9780071771337
Издательство: McGraw-Hill
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Цена: 0.00 T
Наличие на складе: Невозможна поставка.

Автор: Song
Название: Optimal Control and Optimization of Stochastic Supply Chain Systems
ISBN: 1447147235 ISBN-13(EAN): 9781447147237
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book demonstrates the structural characteristics of the optimal control policies in various stochastic supply chains and to shows how to make use of these characteristics to construct easy-to-operate sub-optimal policies.

Автор: Jacob Engwerda
Название: LQ Dynamic Optimization and Differential Games
ISBN: 0470015241 ISBN-13(EAN): 9780470015247
Издательство: Wiley
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Цена: 119270.00 T
Наличие на складе: Поставка под заказ.
Описание: "Linear Quadratic Differential Games" is an assessment of the state of the art in its field and modern book on linear-quadratic game theory, one of the most commonly used tools for modelling and analysing strategic decision making problems in economics and management.

Автор: Nesterov Y.
Название: Introductory Lectures on Convex Optimization / A Basic Course
ISBN: 1402075537 ISBN-13(EAN): 9781402075537
Издательство: Springer
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Цена: 121110.00 T
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Описание: This is the first elementary exposition of the main ideas of complexity theory for convex optimization. Up to now, most of the material can be found only in special journals and research monographs. The book covers optimal methods and lower complexity bounds for smooth and non-smooth convex optimization. A separate chapter is devoted to polynomial-time interior-point methods. Audience: The book is suitable for industrial engineers and economists.

Автор: Korte, Bernhard, Vygen, Jens
Название: Combinatorial Optimization (algorithms and Combinatorics 21) 5th ed.
ISBN: 3642244874 ISBN-13(EAN): 9783642244872
Издательство: Springer
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Цена: 60510.00 T
Наличие на складе: Невозможна поставка.
Описание: This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This book reviews the fundamentals, covers the classical topics (paths, flows, matching, matroids, NP-completeness, approximation algorithms) in detail, and proceeds to advanced and recent topics, some of which have not appeared in a textbook before. Throughout, it contains complete but concise proofs, and also provides numerous exercises and references. This fifth edition has again been updated, revised, and significantly extended, with more than 60 new exercises and new material on various topics, including Cayley's formula, blocking flows, faster b-matching separation, multidimensional knapsack, multicommodity max-flow min-cut ratio, and sparsest cut. Thus, this book represents the state of the art of combinatorial optimization.

Автор: Jonathan F. Bard
Название: Practical Bilevel Optimization
ISBN: 1441948074 ISBN-13(EAN): 9781441948076
Издательство: Springer
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Цена: 325160.00 T
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Описание: Multiple objective programming deals with the extension of optimization techniques to account for several objective functions, while game theory deals with the inter-personal dynamics surrounding conflict.

Автор: M. Asghar Bhatti
Название: Practical Optimization Methods
ISBN: 1461267919 ISBN-13(EAN): 9781461267911
Издательство: Springer
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Цена: 87070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, on the other hand, is the first text to use Mathematica to develop a thorough understanding of optimization algorithms, fully exploiting Mathematica`s symbolic, numerical and graphic capabilities.