Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)
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Updated
Jan 13, 2024 - Python
Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
This repository contains the code for encrypting an image using various techniques and PRNGs.
3D animation of the Lorenz Attractor trajectory, implemented in Python using the 4th order Runge-Kutta method. [Personal project]
Benchmarking tools for applying AI/ML to data assimilation
Lyapunov exponent of maps and ODE in Python 3, example with Henon Map and Lorenz System
Python App for solving the Lorenz Equation
Chaos Equations (Lorenz Attractors) in python3 using the pygame, scipy and numpy libaries.
Algoritmos de cifrado basados en la dinamica de sistemas caoticos
[🧬] Sphinx is image encryption software with DNA coding, spatial chaos and a unique key. It converts the RGB components into DNA matrices, combines them with XOR, scrambles them with a random sequence and decrypts them to recover the image.
Graphical User Interface implementation of the Lorenz Attractor differential equations system for easy selection of initial conditions, time-step and sampling range.
Here, we can find different simulations of chaotic scenarios in physics. The codes were written as part of the University dissertation and intend to visualise and provide meaningful explanation to the system's characteristics.
Implementation of different Lorenz models (Matlab and Python)
Learning processing - python-mode
A Python package to simulate and measure chaotic dynamical systems.
Non Linear Dynamics and Chaos (Analysis of 3D Lorenz System)
5 types of Kalman Filters and examples.
Simulating Lorenz attractor on Golem.network
Solutions to the course "Nonlinear dynamics" on complexityexplorer.org
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