Handbook of Optimization in Complex Networks Theory and Applications (Springer Optimization and Its Applications)

Description

Handbook of Optimization in Complex Networks содержит основы теории сложных сетей с рядом новых математических подходов и методов оптимизации разработки и анализа динамических сложных сетей. Широкий спектр приложений и задач оптимизации на основе исследований в таких областях, как клеточная и молекулярная химия, исследования физиологии мозга, эпидемиология и экология. Complex Social Networks is a newly emerging (hot) topic with applications in a variety of domains, such as communication networks, engineering networks, social networks, and biological networks. In the last decade, there has been an explosive growth of research on complex real-world networks, a theme that is becoming pervasive in many disciplines, ranging from mathematics and computer science to the social and biological sciences. Optimization of complex communication networks requires a deep understanding of the interplay between the dynamics of the physical network and the information dynamics within the network. Although there are a few books addressing social networks or complex networks, none of them has specially focused on the optimization perspective of studying these networks. This book provides the basic theory of complex networks with several new mathematical approaches and optimization techniques to design and analyze dynamic complex networks. A wide range of applications and optimization problems derived from research areas such as cellular and molecular chemistry, operations research, brain physiology, epidemiology, and ecology. |