Guide To Temporal Networks, A, Lambiotte Renaud Et Al
Автор: Caldarelli, Guido; Catanzaro, Michele Название: Networks: A Very Short Introduction ISBN: 0199588074 ISBN-13(EAN): 9780199588077 Издательство: Oxford Education Рейтинг: Цена: 8350.00 T Наличие на складе: Есть Описание: Networks are involved in many aspects of everyday life, from food webs in ecology and the spread of pandemics to social networking and public transport. This Very Short Introduction explores the basics of network theory to understand the science of complexity and its importance, using examples from nature, technology, and society, and history.
Автор: Vespignani, Alessandro Barrat, Alain Barthelemy, M Название: Dynamical processes on complex networks ISBN: 0521879507 ISBN-13(EAN): 9780521879507 Издательство: Cambridge Academ Рейтинг: Цена: 83430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Han-Xiong Li; Chenkun Qi Название: Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems ISBN: 9401782547 ISBN-13(EAN): 9789401782548 Издательство: Springer Рейтинг: Цена: 107130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume provides a brief review of the previous work on model reduction and identification of DPS, and develops new spatio-temporal models and their relevant identification approaches. All modeling approaches are applied to industrial thermal processes.
Автор: Kelly Название: Stochastic Networks ISBN: 1107691702 ISBN-13(EAN): 9781107691704 Издательство: Cambridge Academ Рейтинг: Цена: 40130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. This compact introduction to some of the stochastic models found useful in the study of communication networks is ideal for graduate students wishing to understand this important area of application.
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