Mathematical Methods in Modern Complexity Science
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Beschreibung
This book presents recent developments in nonlinear and complex systems. 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. It covers information theory, relativistic chaotic dynamics, data analysis, relativistic chaotic dynamics, solvability issues in integro-differential equations, and inverse problems for parabolic differential equations, synchronization and chaotic transient. Presents new concepts for understanding and modeling complex systems
This book presents recent developments in nonlinear and complex systems. 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. It covers information theory, relativistic chaotic dynamics, data analysis, relativistic chaotic dynamics, solvability issues in integro-differential equations, and inverse problems for parabolic differential equations, synchronization and chaotic transient. Presents new concepts for understanding and modeling complex systems
Covers risk reduction management in complex systems Describes an artificial intelligence approach to understand complex systems Explains the relationship between transient chaos and crises
Autor*in
Dimitri Volchenkov
Themen in »Mathematical Methods in Modern Complexity Science«
Nonlinear differential systems Chaos and complexity Chaotic systems Complex systems Risk management in complex systems Nonlinear systems Transient chaos Symmetry group Information Theory Artificial Intelligence Data Analysis Nonlinear signal processing Synchronization