Estimating the Lorenz Problem using Runge-Kutta 4th Order, NumPy, and plotting with Matplotlib
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Updated
Nov 2, 2018 - Python
Estimating the Lorenz Problem using Runge-Kutta 4th Order, NumPy, and plotting with Matplotlib
an analysis of the Lorenz equations and chaotic orbitals
This Matlab script & simulink defines Lorenz Attractor as it well known by chaotic system, it can be used for a lot of applications like cryptography and many more
Using the Adams-Bashforth-Moulton method (with Runge-Kutta 4th order) to approximate the Lorenz problem. 3D result plotting using matplotlib.
Python App for solving the Lorenz Equation
Evaluating the Lorenz Attractor using Runge-Kutta, Predictor-Corrector and Euler methods.
Code for the Modeling From Measurements report
Numerically Solving and Visualising Lorenz system by Runge Kutta Method (4th order) in Fortran and Gnuplot
This repository contains the code for encrypting an image using various techniques and PRNGs.
Comparison of Model Output Statistics and Adaptive Regression based on Kalman Filters for the Lorenz-96 Model.
Non-Linear Dynamic Systems
The Halvorsen Attractor
Julia scripts I have written primarily for the purpose of technical computing.
The Lorenz Attractor System implemented with numpy + matplotlib + scipy. Final project for the Scientific Computing in Python course taught by www.pec3.org
The famous Lorenz Attractor, implemented in P5JS.
This project features two dynamic simulations: bungee jumping and atmospheric convection models, using Runge-Kutta methods to capture their behavior. Dive into chaotic Lorenz attractor visuals, track variable evolution via time series charts, and compare cord lengths between these intriguing simulations. Explore dynamic modeling and chaotic systems
Files related to my Summer of Science Report on Nonlinear Dynamics
Solving Lorenz equations using MATLAB
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