Quantum Chaos
Quantum Chaos - Investigating Unpredictable Behavior and Classical Stability Loss in Quantum Systems
Explore MATLAB source code curated for "混沌" with clean implementations, documentation, and examples.
Quantum Chaos - Investigating Unpredictable Behavior and Classical Stability Loss in Quantum Systems
This implementation provides the capability to plot Lyapunov exponent diagrams for chaotic systems, including downloadable code with chaotic system visualization programs
This program implements the autocorrelation method to calculate the optimal time delay parameter for reconstructing chaotic time series from observed data.
MATLAB program implementation for chaotic time series prediction with algorithm enhancements
MATLAB implementation for computing Lyapunov exponents to detect chaotic behavior in dynamical systems
This MATLAB program generates Julia sets and Mandelbrot sets with simple yet efficient operations, implementing complex mathematical algorithms for fractal visualization.
Chaos and Fractal Theory represents a cutting-edge financial market framework. This repository provides routine implementations for chaos and fractal analysis, available for download. The code includes demonstrations of key algorithms such as Lyapunov exponent calculation, fractal dimension estimation, and phase space reconstruction for market data analysis.
Chaotic time series prediction program featuring multi-step prediction functions and a main forecasting routine with enhanced algorithmic capabilities.
A custom-developed program for calculating chaotic Kolmogorov entropy, building upon existing methodologies. Successfully applied to compute K-entropy for numerous chaotic time series datasets.
Implementation of Iterated Function Systems (IFS) in fractal and chaos theory using MATLAB, featuring algorithmic approaches for generating complex patterns through iterative transformations.