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).

Autorentext
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 the 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, and 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.

Inhalt

Chapter 1. Professor Valentin Afraimovich by Alexandra Afraimovich

Chapter 2.The need for more integration between machine learning and neuroscience by Adrian Hernandez, Jose M. Amigo

Chapter 3.Quasiperiodic Route to Transient Chaos in Vibroimpact System by Victor Bazhenov, Olga Pogorelova, Tatiana Postnikova

Chapter 4. Modeling Ensembles of Nonlinear Dynamic Systems in Ultrawideb and Active Wireless Direct Chaotic Networks by A.S. Dmitriev, R.Yu. Yemelyanov, M.Yu. Gerasimov, Yu.V. Andreyev

Chapter 5.Verification of Biomedical Processes with Anomalous Diffusion, Transport and Interaction of Species by Messoud Efendiev, Vitali Vougalter

Chapter6.Chaos-based communication using isochronal synchronization: considerations about the synchronization manifold byJ.M.V. Grzybowski, E.E.N. Macau, T. Yoneyama Chapter 7.A sequential order of periodic motions in a 1-dimensional, time-delay, dynamical system by Siyuan Xing and Albert C. J. Luo

Chapter 8.On the Geometric Approach to Transformations of the Coordinates of Inertial Frames of Reference by A.A. Talyshev

Chapter 9.Corpuscular models of information transfer in a random environment by V.V. Uchaikin**

Chapter 10. Kinetic equation for systems with resonant captures and scatterings by A.V. Artemyev, A.I. Neishtadt, A.A. Vasiliev

Chapter 11. Solvability In The Sense Of Sequences For Some Non-Fredholm Operators In Higher Dimensions by Vitali Vougalter, Vitaly Volpert