Nonlinear Dynamics, Chaos, and Complexity - In Memory of Professor Valentin Afraimovich (Paperback, 1st ed. 2021)

This book demonstrates how mathematical methods and techniques can be used in synergy and create a new way of looking at complex systems. It becomes clear nowadays that the standard (graph-based) network approach, in which observable events and transportation hubs are represented by nodes and relations between them are represented by edges, fails to describe the important properties of complex systems, capture the dependence between their scales, and anticipate their future developments. Therefore, authors in this book discuss the new generalized theories capable to describe a complex nexus of dependences in multi-level complex systems and to effectively engineer their important functions. The collection of works devoted to the memory of Professor Valentin Afraimovich introduces new concepts, methods, and applications in nonlinear dynamical systems covering physical problems and mathematical modelling relevant to molecular biology, genetics, neurosciences, artificial intelligence as well as classic problems in physics, machine learning, brain and urban dynamics. The book can be read by mathematicians, physicists, complex systems scientists, IT specialists, civil engineers, data scientists, urban planners, and even musicians (with some mathematical background).

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Nonlinear Physical Science
Release date:	December 2021
First published:	2021
Editors:	Dimitri Volchenkov
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	198
Edition:	1st ed. 2021
ISBN-13:	978-981-15-9036-8
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of solids > Dynamics & vibration
LSN:	981-15-9036-2
Barcode:	9789811590368

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