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Winning Wars Amongst the People, Kiss Peter


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Цена: 36740.00T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: 231 шт.  
При оформлении заказа до: 2025-07-23
Ориентировочная дата поставки: конец Сентября - начало Октября
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Автор: Kiss Peter
Название:  Winning Wars Amongst the People
ISBN: 9781612347004
Издательство: Potomac Books
Классификация:


ISBN-10: 1612347002
Обложка/Формат: Paperback
Вес: 0.43 кг.
Дата издания: 30.10.2014
Язык: English
Иллюстрации: 7 maps, 7 figures, 6 tables
Размер: 229 x 159 x 18
Читательская аудитория: General (us: trade)
Подзаголовок: Case studies in asymmetric conflict
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Поставляется из: США
Описание: Since the end of World War II a paradigm shift has occurred in armed conflict. Asymmetric, or fourth generation warfare--the challenge of non-state belligerents to the authority and power of the state--has become the dominant form of conflict while interstate conventional war has become an increasingly irrelevant instrument of statecraft.

Mathematics of epidemics on networks

Автор: Kiss, Istvan Z Miller, Joel C Simon, Peter L
Название: Mathematics of epidemics on networks
ISBN: 3319508040 ISBN-13(EAN): 9783319508047
Издательство: Springer
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Цена: 74530.00 T
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Описание: This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks. The content of the book is at the interface of graph theory, stochastic processes and dynamical systems. The authors set out to make a significant contribution to closing the gap between model development and the supporting mathematics. This is done by:

  • Summarising and presenting the state-of-the-art in modeling epidemics on networks with results and readily usable models signposted throughout the book;
  • Presenting different mathematical approaches to formulate exact and solvable models;
  • Identifying the concrete links between approximate models and their rigorous mathematical representation;
  • Presenting a model hierarchy and clearly highlighting the links between model assumptions and model complexity;
  • Providing a reference source for advanced undergraduate students, as well as doctoral students, postdoctoral researchers and academic experts who are engaged in modeling stochastic processes on networks;
  • Providing software that can solve differential equation models or directly simulate epidemics on networks.
Replete with numerous diagrams, examples, instructive exercises, and online access to simulation algorithms and readily usable code, this book will appeal to a wide spectrum of readers from different backgrounds and academic levels. Appropriate for students with or without a strong background in mathematics, this textbook can form the basis of an advanced undergraduate or graduate course in both mathematics and other departments alike.



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