Complex Systems and Networks, Jinhu L?; Xinghuo Yu; Guanrong Chen; Wenwu Yu

Автор: Van Mieghem, Piet.
Название: Performance analysis of complex networks and systems /
ISBN: 1107058600 ISBN-13(EAN): 9781107058606
Издательство: Cambridge Academ
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Цена: 12514.00 р.
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Описание: A rigorous and self-contained guide to the mathematical, stochastic and graph theoretic methods needed to analyse the performance and robustness of complex networks and systems. Containing problems and solved solutions, the book is ideal for graduate students taking courses in performance analysis.

Автор: Jinhu L?; Xinghuo Yu; Guanrong Chen; Wenwu Yu
Название: Complex Systems and Networks
ISBN: 3662478234 ISBN-13(EAN): 9783662478233
Издательство: Springer
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Цена: 20896.00 р.
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Описание: In particular, a general model for studying time evolution of transition networks, deflection routing in complex networks, recommender systems for social networks analysis and mining, strategy selection in networked evolutionary games, integration and methods in computational biology, are discussed in detail.

Автор: Vespignani, Alessandro Barrat, Alain Barthelemy, M
Название: Dynamical processes on complex networks
ISBN: 0521879507 ISBN-13(EAN): 9780521879507
Издательство: Cambridge Academ
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Цена: 12514.00 р.
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Описание: An in-depth account on the effect of complex connectivity patterns on dynamical phenomena, this book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics to mathematical biology and information science. Its modular approach allows readers to easily access the sections of most interest to them.

Автор: Dmitrii Lozovanu; Stefan Pickl
Название: Optimization of Stochastic Discrete Systems and Control on Complex Networks
ISBN: 3319118323 ISBN-13(EAN): 9783319118321
Издательство: Springer
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Цена: 18167.00 р.
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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.