The Many Facets of Complexity Science: In Memory of Professor Valentin Afraimovich

Author:   Dimitri Volchenkov
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2021
ISBN:  

9789811628559


Pages:   206
Publication Date:   01 September 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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The Many Facets of Complexity Science: In Memory of Professor Valentin Afraimovich


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Overview

This book explores recent developments in theoretical research and data analysis of real-world complex systems, organized in three parts, namely Entropy, information, and complexity functions Multistability, oscillations, and rhythmic synchronization Diffusions, rotation, and convection in fluids   The collection of works devoted to the memory of Professor Valentin Afraimovich provides a deep insight into the recent developments in complexity science by introducing new concepts, methods, and applications in nonlinear dynamical systems covering physical problems and mathematical modelling relevant to economics, genetics, engineering vibrations, as well as classic problems in physics, fluid and climate dynamics, and urban dynamics.   The book facilitates a better understanding of the mechanisms and phenomena in nonlinear dynamics and develops the corresponding mathematical theory to apply nonlinear design to practical engineering. It can be read by mathematicians, physicists, complex systems scientists, IT specialists, civil engineers, data scientists, and urban planners.

Full Product Details

Author:   Dimitri Volchenkov
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2021
Weight:   0.338kg
ISBN:  

9789811628559


ISBN 10:   9811628556
Pages:   206
Publication Date:   01 September 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1. Maurice Courbage: The Directional Entropy for Spatially Extended Dynamical Systems Chapter 2. Olivier Bui, Xavier Leoncini, Detecting Regularity with Complexity Functions Chapter 3. Raul Rechtman, Local Complexity Functions of the Ehrenfest’s wind-tree model Chapter 4. Bastien Fernandez, Selective Chaos of Travelling Waves in Feedforward Chains of Bistable Maps Chapter 5. Yeyin Xu, Albert C.J. Luo, On Periodic Motions in a van der Pol Oscillator Chapter 6. Jianzhe Huang, Fuhong Min , Hidden periodic motions for brushless motor with unsteady torque excitation Chapter 7. Stefano Boccaletti, H. Bi, T. Qui, I. Bonamassa, Shuguang Guan, Chunking Rhythmic Synchronization: Bellerophon States and Quantized Clusters of Globally Coupled Phase Oscillators Chapter 8. Shasha Zheng, Xilin Fu, Chatter Dynamics and Stability of the Impulsive van der Pol Equation Chapter 9. Xilin Fu, Yanyan Zhang, Complex Motions in an Inclined Impact Pair With a Periodic Excitation Chapter 10. Dmitry V. Kovalevsky, Igor L. Bashmachnikov: Nonlinear Dynamics of Deep Open-Ocean Convection: An Analytical Approach Chapter 11.  Messoud  Efendiev, Vitali  Vougalter: On the Necessary Conditions for Preserving the Nonnegative Cone: Mixed Diffusion Chapter 12. Dimitri Volchenkov,Veniamin Smirnov: Multi-scale Analysis of Urban Spatial Structures acquired from OpenStreetMap

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Author Information

Dr. Dimitri Volchenkov obtained his Ph.D. in Theoretical Physics in the Saint Petersburg State University(Russia) and habilitated in the CNRS Centre de Physique Theorique (Marseille, France). He is Associate Professor of Mathematics and Statistics at the Texas Tech University (USA) and Professor of Risk Assessment and Data Science at the Sichuan University of Science and Engineering (China). His research interests are the science of complexity and interdisciplinary physics ranging from the stochastic nonlinear dynamics, to plasma turbulence, to urban spatial networks, their impact on poverty and environments, analysis of complex networks, data analysis of economic, inequality and politics data, big data analytics, survival analysis and modelling of evolutionary biology and ecology.

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