Stochastic Simulation Optimization for Discrete Event Systems: Perturbation Analysis, Ordinal Optimization and Beyond, Chen Chun-Hung, Jia Qing-Shan, Lee Loo Hay
Автор: Dmitry Treschev; Oleg Zubelevich Название: Introduction to the Perturbation Theory of Hamiltonian Systems ISBN: 3642261043 ISBN-13(EAN): 9783642261046 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the basic methods of regular perturbation theory of Hamiltonian systems in an accessible fashion. It discusses all main aspects of the basic modern theory of perturbed Hamiltonian systems, and most results include complete proofs.
Автор: Desineni S. Naidu; Ayalasomayajula K. Rao Название: Singular Perturbation Analysis of Discrete Control Systems ISBN: 3540159819 ISBN-13(EAN): 9783540159810 Издательство: Springer Рейтинг: Цена: 3487.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems.
Автор: L. Ljung; G. Pflug; H. Walk Название: Stochastic Approximation and Optimization of Random Systems ISBN: 3764327332 ISBN-13(EAN): 9783764327330 Издательство: Springer Рейтинг: Цена: 3487.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: PHug) 7 Markovian stochastic optimization and stochastic approximation procedures 53 8 Asymptotic distributions 71 9 Stopping times 79 1O Applications of stochastic approximation methods 80 References for Part II 90 III Applications to adaptation algorithms (L.
Автор: Yu-Chi Ho; Qian-Chuan Zhao; Qing-Shan Jia Название: Ordinal Optimization ISBN: 1441942432 ISBN-13(EAN): 9781441942432 Издательство: Springer Рейтинг: Цена: 10447.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the difficulties of the optimization of complex systems. It does this via simulation models or other computation-intensive models involving possible stochastic effects and discrete choices.
Описание: Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems.
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.
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