Explore MATLAB source code curated for "混沌研究" with clean implementations, documentation, and examples.
MATLAB RQA performs recurrence plot analysis on discrete time series followed by quantitative recurrence analysis, serving as a crucial method for chaos research with implementations involving phase space reconstruction and threshold-based recurrence matrix computation.
Chaos Time Series Analysis and Prediction Toolbox (Version 2.9) developed by Dr. Zhenbo Lu from Naval Engineering University, featuring complete MATLAB source code implementations for chaotic system modeling and forecasting algorithms
Poincare maps in nonlinear dynamics provide an efficient method to identify periodic, quasi-periodic, or chaotic motions; this program implements Poincare map visualization with numerical integration and cross-section detection algorithms.
The C-C algorithm for nonlinear systems is a pivotal methodology for analyzing chaotic time series, particularly in the study of nonlinear dynamical systems, implementing key calculations for correlation dimension and time delay estimation.
Poincaré Maps for Chaos Research in Nonlinear Dynamics with Implementation Methodology