Автор: Anatoly Zhigljavsky; Antanas ?ilinskas Название: Stochastic Global Optimization ISBN: 1441944850 ISBN-13(EAN): 9781441944856 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; some of the topics include an introduction to global random search, statistical inference, several associated random search algorithms, and various approaches to statistical models.
Автор: Aimo T?rn; Julius ?ilinskas Название: Models and Algorithms for Global Optimization ISBN: 1441942203 ISBN-13(EAN): 9781441942203 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The research of Antanas Zilinskas has focused on developing models for global optimization, implementing and investigating the corresponding algorithms, and applying those algorithms to practical problems.
Название: Combinatorial and global optimization ISBN: 9810248024 ISBN-13(EAN): 9789810248024 Издательство: World Scientific Publishing Рейтинг: Цена: 15048.00 р. Наличие на складе: Поставка под заказ.
Описание: Combinatorial and global optimization problems appear in a wide range of applications in operations research, engineering, and biological and computer science. This is a selection of refereed papers based on talks presented at a conference on "Combinatorial and Global Optimization" held at Crete.
Автор: Panos M. Pardalos; Anatoly Zhigljavsky; Julius ?il Название: Advances in Stochastic and Deterministic Global Optimization ISBN: 3319299735 ISBN-13(EAN): 9783319299730 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 ?ilinskas's 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.
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.
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