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Advances in Stochastic and Deterministic Global Optimization, Panos M. Pardalos; Anatoly Zhigljavsky; Julius ?il


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Автор: Panos M. Pardalos; Anatoly Zhigljavsky; Julius ?il
Название:  Advances in Stochastic and Deterministic Global Optimization
ISBN: 9783319299730
Издательство: Springer
Классификация:




ISBN-10: 3319299735
Обложка/Формат: Hardback
Страницы: 296
Вес: 0.63 кг.
Дата издания: 2016
Серия: Springer optimization and its applications
Язык: English
Иллюстрации: 27 black & white illustrations, 42 colour illustrations, 29 black & white tables, 44 colour tables, biography
Размер: 164 x 313 x 23
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization, regression, survey calibration, inventory management, timetabling, chemical engineering, energy systems, and competitive facility location. Graduate students, researchers, and scientists in computer science, numerical analysis, optimization, and applied mathematics will be fascinated by the theoretical, computational, and application-oriented aspects of stochastic and deterministic global optimization explored in this book.
This volume is dedicated to the 70th birthday of Antanas ?ilinskas who is a leading world expert in global optimization. Professor ?ilinskass research has concentrated on studying models for the objective function, the development and implementation of efficient algorithms for global optimization with single and multiple objectives, and application of algorithms for solving real-world practical problems.

Дополнительное описание: ?Part I: Theory and Algorithms for Global Optimization.- On the Asymptotic Tractability of Global Optimization.- Combining Interval and Probabilistic Uncertainty: What Is Computable?.- Survey of Piecewise Convex Maximization and PCMP over Spherical Sets.-



Deterministic Chaos In One Dimensional Continuous Systems

Автор: Awrejcewicz Jan Et Al
Название: Deterministic Chaos In One Dimensional Continuous Systems
ISBN: 9814719692 ISBN-13(EAN): 9789814719698
Издательство: World Scientific Publishing
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Цена: 28512.00 р.
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Описание: This book focuses on the computational analysis of nonlinear vibrations of structural members (beams, plates, panels, shells), where the studied dynamical problems can be reduced to the consideration of one spatial variable and time.

Optimal Control and Optimization of Stochastic Supply Chain Systems

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: 20896.00 р.
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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.

Deterministic Global Optimization

Автор: Daniel Scholz
Название: Deterministic Global Optimization
ISBN: 1489995552 ISBN-13(EAN): 9781489995551
Издательство: Springer
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Цена: 16070.00 р.
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Описание: This book examines geometric branch-and-bound methods, such as in Lipschitzian optimization, d.c. programming and interval analysis, introduces a new concept for the rate of convergence and also analyzes several bounding operations reported in the literature.

Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes - Application to Reliability

Автор: de Saporta
Название: Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes - Application to Reliability
ISBN: 1848218397 ISBN-13(EAN): 9781848218390
Издательство: Wiley
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Цена: 22010.00 р.
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Описание:

Mark H.A. Davis introduced the Piecewise-Deterministic Markov Process (PDMP) class of stochastic hybrid models in an article in 1984. Today it is used to model a variety of complex systems in the fields of engineering, economics, management sciences, biology, Internet traffic, networks and many more. Yet, despite this, there is very little in the way of literature devoted to the development of numerical methods for PDMDs to solve problems of practical importance, or the computational control of PDMPs.

This book therefore presents a collection of mathematical tools that have been recently developed to tackle such problems. It begins by doing so through examples in several application domains such as reliability. The second part is devoted to the study and simulation of expectations of functionals of PDMPs. Finally, the third part introduces the development of numerical techniques for optimal control problems such as stopping and impulse control problems.

Deterministic Observation Theory and Applications

Автор: Gauthier
Название: Deterministic Observation Theory and Applications
ISBN: 0521183863 ISBN-13(EAN): 9780521183864
Издательство: Cambridge Academ
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Цена: 6019.00 р.
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Описание: This 2001 book presents a general theory as well as a constructive methodology to solve `observation problems`, that is, reconstructing the full information about a dynamical process on the basis of partial observed data. A general methodology to control processes on the basis of the observations is also developed.


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