Calculating the Lyapunov Exponent for Logistic Map to Analyze Chaotic Behavior
Determining whether a sequence exhibits chaotic properties by computing the Lyapunov exponent of the logistic map, with implementation insights for numerical analysis
Explore MATLAB source code curated for "logistic映射" with clean implementations, documentation, and examples.
Determining whether a sequence exhibits chaotic properties by computing the Lyapunov exponent of the logistic map, with implementation insights for numerical analysis
This package contains 5 MATLAB programs: two visualizing logistic map behavior through phase and bifurcation diagrams, and three demonstrating henon map dynamics with phase diagrams, bifurcation plots, and comparative analysis. The implementations feature parameter sweeps, iterative calculations, and visualization techniques for chaotic system analysis.
This program implements the crucial Logistic Map from chaos theory, featuring a plotting function that visually demonstrates fascinating chaotic phenomena through generated curves.
This paper presents a Rubik's Cube-based encryption transformation for digital images utilizing chaotic sequences generated through logistic mapping from nonlinear dynamical systems. The implementation includes pseudocode demonstrations for chaotic sequence generation and pixel permutation algorithms.
Complete source code implementation for chaotic logistic map with detailed algorithm explanation and programming examples
Source Code Implementation of Chaotic Logistic Map with Numerical Simulation Considerations
Code Implementation and Algorithm Analysis of the Classic Chaotic Logistic Map Model