Official source code of Arrhythmia Detection
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Updated
Jun 25, 2019 - Python
Official source code of Arrhythmia Detection
Análisis No Lineal de caoticidad en virus covid-19
A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
Non-Linear Dynamic Systems
Project for the Quantum Information and Computing course, 2020/2021
Python toolbox to detect limit cycles and asses their stability
Evaluate the Lyapunov Spectrum of a dynamical system described by ODEs (in Python)
Fortran90 examples of Dynamic Systems
Calculation and visualization of average maximum lyapunov exponent for a double pendulum system
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.
Files related to my Summer of Science Report on Nonlinear Dynamics
A Python package to simulate and measure chaotic dynamical systems.
Resolução da Lista 7 da disciplina FM-223: Dinâmica não-linear e caos I
Coupled linear ODEs to model relationship dynamics
This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional methods that are not public but could be made available in a future release. If you are interested in learning more, attending our workshops or webinars or using our data analysis services please contact bmchnon…
Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.
Codigo Fortran que implementa el metodo de Benettin para realizar el calculo de los exponentes de Lyapunov y posteriormente seleccionando un parámetrodell modelo realizar un espectro de los Exponentes de Lyapunov.
Repository for STPDP and SSRPC
Compute Lyapunov exponents and Covariant-Lyapunov-Vectors of an RNN update trajectory
Lyapunov Cycle Detector is a collection of algorithms destined to study the basins of attraction of rational maps (that is, the Fatou and Julia sets). In particular, the main focus of LCD is in the detection of attracting n-cycles of said rational map and in computing its basins.
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