Explore MATLAB source code curated for "工具箱" with clean implementations, documentation, and examples.
Comprehensive nonlinear vibration toolbox featuring detailed procedural guides, spectral analysis, Poincaré sections, bifurcation diagrams, and Lyapunov exponent calculations with algorithm explanations and MATLAB implementation approaches.
MATLAB-based Econometrics Toolbox featuring linear and nonlinear regression implementations, GARCH model estimation, and VAR model construction with statistical analysis capabilities.
Solving stochastic differential equations presents significant computational challenges. This foreign-developed toolbox provides comprehensive implementations of various numerical methods for SDE solutions, including key algorithms like Euler-Maruyama and Milstein methods. We invite fellow researchers to utilize this resource and engage in collaborative discussions to address implementation challenges.
The classification_matlab_toolbox provides an intuitive graphical interface with extensive classification algorithm implementations, featuring built-in cross-validation and performance metrics visualization.
Modified bnb20 mixed integer programming toolbox with full compatibility for MATLAB 7.0 and newer versions, featuring enhanced optimization algorithms and improved computational efficiency
A MATLAB-based source code toolbox for programming GARCH and multivariate GARCH models, featuring parameter estimation, model diagnostics, and forecasting capabilities.
Univariate Function Optimization Backpropagation Neural Network Initial Weights and Thresholds Optimization
This MATLAB toolbox provides excellent practical examples for performing linear regression, multiple linear regression, and nonlinear regression analysis. The package includes detailed tutorial presentations and ready-to-use MATLAB code implementations, featuring regression algorithms, model fitting techniques, and statistical validation methods. These resources are highly practical for understanding regression modeling concepts and applications.
Implementing multi-objective optimization using particle swarm algorithm with GUI interface code and toolbox components for enhanced algorithm performance
Documentation for the Robotics Modeling Toolbox in MATLAB, featuring code implementation guidance and algorithm explanations