Attractor Dimension Estimates for Dynamical Systems: Theory and Computation by Nikolay Kuznetsov
This book provides analytical and numerical methods for the estimation of dimension characteristics (Hausdorff, Fractal, Caratheodory dimensions) for attractors and invariant sets of dynamical systems and cocycles generated by smooth differential equations or maps in finite-dimensional Euclidean spaces or on manifolds.-
Non-Uniform Cellular Automata
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Automata and Complexity
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The Mathematical Artist
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Quantum Game Simulation
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Numerical Infinities and Infinitesimals in Optimization
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Guided Self-Organization: Inception
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Probabilistic Cellular Automata
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Irreducibility and Computational Equivalence
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Applications of Membrane Computing in Systems and Synthetic Biology
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Recent Advances in the Theory and Application of Fitness Landscapes
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Chaotic Systems with Multistability and Hidden Attractors
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Infobiotics
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The Evolution of Complexity
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ISCS 2013: Interdisciplinary Symposium on Complex Systems
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Reaction-Diffusion Automata: Phenomenology, Localisations, Computation
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A Metaheuristic Approach to Protein Structure Prediction
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Reversibility and Universality
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Intelligent Astrophysics
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Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring
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Automata, Universality, Computation
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Shortest Path Solvers. From Software to Wetware
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Memristor-Based Nanoelectronic Computing Circuits and Architectures
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Naming Game
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From Astrophysics to Unconventional Computation
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Self-organizing Coalitions for Managing Complexity
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Advances in Unconventional Computing
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Advances in Physarum Machines
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Emergent Computation
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Modern Trends in Controlled Stochastic Processes:
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From Pattern Formation to Material Computation
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Cellular Automata in Image Processing and Geometry
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Real-life Applications with Membrane Computing
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Inspired by Nature
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Methods and Applications of Algorithmic Complexity
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A Route to Chaos Using FPGAs
It is interesting and very well writtenMostly, chapters are self-contained and rich of detailed explanations. Many powerful computational tools and algorithms provide a solid numerical background for the study of attractor dimensions. this book contains advanced material on attractor dimension estimates for dynamical systems. This is definitely suitable for researchers in applied mathematics and computational theory of dynamical systems. (Mohammad Sajid, zbMATH 1483.37001, 2022)
| SKU | Unavailable |
| ISBN 13 | 9783030509866 |
| ISBN 10 | 3030509869 |
| Title | Attractor Dimension Estimates for Dynamical Systems: Theory and Computation |
| Author | Nikolay Kuznetsov |
| Series | Emergence Complexity And Computation |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2020-07-03 |
| Number of pages | 545 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |