Global Optimization with Non-Convex Constraints, Roman G. Strongin; Yaroslav D. Sergeyev
Автор: Stephen Boyd Название: Convex Optimization ISBN: 0521833787 ISBN-13(EAN): 9780521833783 Издательство: Cambridge Academ Рейтинг: Цена: 17950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of this book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
Автор: Roman G. Strongin; Yaroslav D. Sergeyev Название: Global Optimization with Non-Convex Constraints ISBN: 0792364902 ISBN-13(EAN): 9780792364900 Издательство: Springer Рейтинг: Цена: 43184.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents a new approach to global non-convex constrained optimization. Problem dimensionality is reduced via space-filling curves and to economize the search, constraint is accounted separately (penalties are not employed). The multicriteria case is also considered.
Автор: Ronald Hoppe Название: Optimization with PDE Constraints ISBN: 3319080245 ISBN-13(EAN): 9783319080246 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book on PDE Constrained Optimization contains contributions on the mathematical analysis and numerical solution of constrained optimal control and optimization problems where a partial differential equation (PDE) or a system of PDEs appears as an essential part of the constraints.
Автор: Kristian Bredies; Christian Clason; Karl Kunisch; Название: Control and Optimization with PDE Constraints ISBN: 3034807562 ISBN-13(EAN): 9783034807562 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book spans topics from analysis to numerical realization and applications. Covers non-smooth optimization, Hamilton-Jacobi-Bellmann equations, reduced-order models and domain decomposition, control of quantum-dynamical systems and more.
Автор: Ronald Hoppe Название: Optimization with PDE Constraints ISBN: 331936152X ISBN-13(EAN): 9783319361529 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book on PDE Constrained Optimization contains contributions on the mathematical analysis and numerical solution of constrained optimal control and optimization problems where a partial differential equation (PDE) or a system of PDEs appears as an essential part of the constraints.
Описание: Presents an in-depth study and a solution technique for an important class of optimization problems. This book begins with a chapter on auxiliary results followed by a description of the main numerical tools: a bundle method of nonsmooth optimization and a nonsmooth variant of Newton`s method.
Автор: Angelo Oddi; Fran?ois Fages; Francesca Rossi Название: Recent Advances in Constraints ISBN: 3642032508 ISBN-13(EAN): 9783642032509 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed and extended post-workshop proceedings of the 13th Annual ERCIM International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2008, held in Rome, Italy, in June 2008.
Автор: Geert-Jan van Houtum; Bram Kranenburg Название: Spare Parts Inventory Control under System Availability Constraints ISBN: 1489976086 ISBN-13(EAN): 9781489976086 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: While optimality conditions for optimal control problems with state constraints have been extensively investigated in the literature the results pertaining to numerical methods are relatively scarce. This approach enables the author to provide global convergence analysis of first order and superlinearly convergent second order methods.
Описание: Optimum envelope-constrained filter design is concerned with time-domain synthesis of a filter such that its response to a specific input signal stays within prescribed upper and lower bounds, while minimizing the impact of input noise on the filter output or the impact of the shaped signal on other systems depending on the application.
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.
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