Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
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Updated
Aug 6, 2024 - Jupyter Notebook
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
MATLAB files for discovery of Poincaré maps
Code associated to the paper "Deep learning of conjugate mappings"
Interactive document which reveals Duffing Oscillator properties
Python module to compute and interactively visualize Poincaré sections
Code associated to the paper "Data-driven stabilization of periodic orbits"
Solución numérica de la dinámica de una cosmología de Robertson-Walker, además se puede generar graficas de dicha dinámica, las secciones de Poincare, los exponentes de Lyapunov y las orbitas del sistema.
C implementation for phase space and poincaré map of a chaotic pendulum.
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