Repository for STPDP and SSRPC
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Updated
Apr 27, 2024 - Jupyter Notebook
Repository for STPDP and SSRPC
Fortran90 examples of Dynamic Systems
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.
Evaluate the Lyapunov Spectrum of a dynamical system described by ODEs (in Python)
Compute Lyapunov exponents and Covariant-Lyapunov-Vectors of an RNN update trajectory
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.
Bifurcation Diagrams for Discrete-Time Maps in Python - https://doi.org/10.5281/zenodo.13276873
Calculation and visualization of average maximum lyapunov exponent for a double pendulum system
Análisis No Lineal de caoticidad en virus covid-19
A Python package to simulate and measure chaotic dynamical systems.
Resolução da Lista 7 da disciplina FM-223: Dinâmica não-linear e caos I
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.
Project for the Quantum Information and Computing course, 2020/2021
Coupled linear ODEs to model relationship dynamics
Files related to my Summer of Science Report on Nonlinear Dynamics
Python toolbox to detect limit cycles and asses their stability
Non-Linear Dynamic Systems
Official source code of Arrhythmia Detection
Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.
A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
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