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210512 ||| eng |
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|a books978-3-03921-504-1
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|a 9783039215034
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|a 9783039215041
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| 100 |
1 |
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|a Martí, Arturo C.
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| 245 |
0 |
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|a Dynamics Days Latin America and the Caribbean 2018
|h Elektronische Ressource
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| 260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2019
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| 300 |
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|a 1 electronic resource (142 p.)
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| 653 |
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|a stochastic processes
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| 653 |
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|a birthday problem
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| 653 |
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|a sampling rates
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| 653 |
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|a synchrony
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| 653 |
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|a coupled oscillators
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| 653 |
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|a computational methods
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| 653 |
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|a epidemic models
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| 653 |
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|a population dynamics
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| 653 |
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|a ecological methods
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| 653 |
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|a diffusive instabilities
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| 653 |
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|a temporal aliasing effect
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| 653 |
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|a annular billiard
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| 653 |
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|a recurrence time
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| 653 |
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|a puffs
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| 653 |
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|a local field potential
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| 653 |
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|a mean field models
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| 653 |
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|a theta neuron
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| 653 |
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|a waves
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| 653 |
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|a delay bifurcation
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| 653 |
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|a calcium signals
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| 653 |
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|a out of equilibrium system
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| 653 |
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|a Lyapunov exponent
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| 653 |
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|a point scatterer
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| 653 |
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|a Markov processes
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| 653 |
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|a IP3Rs dsitribution
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| 653 |
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|a nonlinear dynamics
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| 653 |
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|a complex systems
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| 653 |
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|a cyclic dynamics
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| 653 |
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|a self-organization
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| 653 |
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|a Dicke model
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| 653 |
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|a predator-prey system
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| 653 |
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|a Slater's theorem
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| 653 |
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|a synchronization
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| 653 |
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|a suppression of synchronization
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| 653 |
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|a reaction fronts
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| 653 |
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|a neural network
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| 653 |
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|a convection
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| 653 |
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|a population biology
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| 700 |
1 |
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|a Rubido, Nicolás
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 028 |
5 |
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|a 10.3390/books978-3-03921-504-1
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| 856 |
4 |
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|u https://www.mdpi.com/books/pdfview/book/1553
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/45576
|z DOAB: description of the publication
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| 082 |
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|a 000
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| 520 |
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|a This book contains various works presented at the Dynamics Days Latin America and the Caribbean (DDays LAC) 2018. Since its beginnings, a key goal of the DDays LAC has been to promote cross-fertilization of ideas from different areas within nonlinear dynamics. On this occasion, the contributions range from experimental to theoretical research, including (but not limited to) chaos, control theory, synchronization, statistical physics, stochastic processes, complex systems and networks, nonlinear time-series analysis, computational methods, fluid dynamics, nonlinear waves, pattern formation, population dynamics, ecological modeling, neural dynamics, and systems biology. The interested reader will find this book to be a useful reference in identifying ground-breaking problems in Physics, Mathematics, Engineering, and Interdisciplinary Sciences, with innovative models and methods that provide insightful solutions. This book is a must-read for anyone looking for new developments of Applied Mathematics and Physics in connection with complex systems, synchronization, neural dynamics, fluid dynamics, ecological networks, and epidemics.
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