Applied Probability and Stochastic Processes, Richard M. Feldman; Ciriaco Valdez-Flores
Автор: Song Название: Optimal Control and Optimization of Stochastic Supply Chain Systems ISBN: 1447147235 ISBN-13(EAN): 9781447147237 Издательство: Springer Рейтинг: Цена: 139310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Название: Probability for Physicists ISBN: 3319316095 ISBN-13(EAN): 9783319316093 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introducing probability, statistics and random quantities for physicists, this book focuses on applications in physics and other natural sciences throughout. As well as random variables, distributions, expected values and statistics, it discusses entropy, Markov processes and basic random number generation and Monte-Carlo methods.
Автор: Wolfgang Paul; J?rg Baschnagel Название: Stochastic Processes; From Physics to Finance ISBN: 3319003267 ISBN-13(EAN): 9783319003269 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces the theory of stochastic processes with applications taken from physics and finance. It includes a discussion of extreme events, ranging from their mathematical definition to their importance for financial crashes.
Автор: Wio Horacio Sergio Название: Path Integrals For Stochastic Processes: An Introduction ISBN: 9814447994 ISBN-13(EAN): 9789814447997 Издательство: World Scientific Publishing Рейтинг: Цена: 68640.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an introductory albeit solid presentation of path integration techniques as applied to the field of stochastic processes. The subject began with the work of Wiener during the 1920's, corresponding to a sum over random trajectories, anticipating by two decades Feynman's famous work on the path integral representation of quantum mechanics. However, the true trigger for the application of these techniques within nonequilibrium statistical mechanics and stochastic processes was the work of Onsager and Machlup in the early 1950's. The last quarter of the 20th century has witnessed a growing interest in this technique and its application in several branches of research, even outside physics (for instance, in economy).The aim of this book is to offer a brief but complete presentation of the path integral approach to stochastic processes. It could be used as an advanced textbook for graduate students and even ambitious undergraduates in physics. It describes how to apply these techniques for both Markov and non-Markov processes. The path expansion (or semiclassical approximation) is discussed and adapted to the stochastic context. Also, some examples of nonlinear transformations and some applications are discussed, as well as examples of rather unusual applications. An extensive bibliography is included. The book is detailed enough to capture the interest of the curious reader, and complete enough to provide a solid background to explore the research literature and start exploiting the learned material in real situations. remove
Автор: Gardiner, Crispin W. Название: Stochastic methods ISBN: 3540707123 ISBN-13(EAN): 9783540707127 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential equations to make the book even more valuable for practitioners.
Автор: Anand Jayant Kulkarni; Kang Tai; Ajith Abraham Название: Probability Collectives ISBN: 3319159992 ISBN-13(EAN): 9783319159997 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives.
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