
Mathematical Methods in Modern Complexity Science by Dimitri Volchenkov
It provides recent theoretic developments and new techniques based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems.-
Discontinuous Dynamics and System Synchronization
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Emerging Frontiers in Nonlinear Science
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Nonlinear Dynamics and Complexity
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Neural Networks with Discontinuous/Impact Activations
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Dynamical System Synchronization
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Discontinuity and Complexity in Nonlinear Physical Systems
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From Hamiltonian Chaos to Complex Systems
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Dynamics and Fault Diagnosis of Nonlinear Rotors and Impellers
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Global Analysis of Nonlinear Dynamics
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Newtonian Nonlinear Dynamics for Complex Linear and Optimization Problems
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Localized Excitations in Nonlinear Complex Systems
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Periodic Flows to Chaos in Time-delay Systems
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Complex Motions and Chaos in Nonlinear Systems
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Mathematical Modeling and Applications in Nonlinear Dynamics
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Infectious Disease Modeling
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Advances in Dynamics, Patterns, Cognition
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Nonlinear Dynamics New Directions
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Regularity and Stochasticity of Nonlinear Dynamical Systems
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Memorized Discrete Systems and Time-delay
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New Perspectives on Nonlinear Dynamics and Complexity
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The sine-Gordon Model and its Applications
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Computational and Mathematical Models in Biology
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System Dynamics with Interaction Discontinuity
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Advances in Complex Societal, Environmental and Engineered Systems
Dr J. A. Tenreiro Machado was born at 1957. He graduated with ‘Licenciatura’ (1980), PhD. (1989) and ‘Habilitation’ (1995), in Electrical and Computer Engineering at the University of Porto. During 1980-1998 he worked at the Dept. of Electrical and Computer Engineering of the University of Porto. Since 1998 he works at the Institute of Engineering, Polytechnic Institute of Porto, Dept. of Electrical Engineering. His research focuses on complex systems, nonlinear dynamics, fractional calculus, modeling, entropy, control, and evolutionary computing, as well as genomics. Prof. J. A. Tenreiro Machado is a member of the Editorial boards of several international journals, guest editor of Special Issues, and has about 1000 publications in journals, conferences, and books.
Dr. Dimitri Volchenkov, an Associate Professor of Applied Mathematics, Mathematics and Statistics Department, Texas Tech University (USA) and a “Thousand talent plan of China” Professor in the Artificial Intelligence Key Laboratory of Sichuan Province, School of Automation and Information Engineering, Sichuan University of Science and Engineering (China). He is a qualified professor in France and Germany, admitted as “Nationally recognized Talent” of China, awarded by Cheung Kong Scholarship (China), Alexander von Humboldt and Volkswagen Fellowships (Germany), NATO/OTAN and C.N.R.S Fellowships (France), George Soros Foundation (USA) and Scientists Federal Awards (Russia). He is an expert in data analysis, complexity science, network theory, stochastic non-linear dynamics, control, and uncertainty in the real-world systems
| SKU | Unavailable |
| ISBN 13 | 9783030794149 |
| ISBN 10 | 3030794148 |
| Title | Mathematical Methods in Modern Complexity Science |
| Author | Dimitri Volchenkov |
| Series | Nonlinear Systems And Complexity |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2023-03-16 |
| Number of pages | 197 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |



























