MATLAB Source Code for Various Mathematical Modeling Algorithms

This documentation contains comprehensive MATLAB source codes for various mathematical modeling applications, featuring implementations of Grey System Models (for data prediction with limited samples), Regression Analysis with hypothesis testing capabilities (including linear/logistic regression with R-squared and p-value calculations), Graph Theory algorithms like Prim's/Kruskal's Minimum Spanning Tree (for network optimization) and Dijkstra's/Floyd's Shortest Path algorithms (for route planning). These models provide practical solutions for real-world problems such as forecasting data trends, analyzing multivariate relationships, and optimizing network structures. Each code segment includes detailed inline comments explaining algorithm flow, key functions like gmplot() for grey prediction visualization, regstats() for regression diagnostics, and graphshortestpath() for pathfinding operations, ensuring straightforward understanding and adaptation for specific research needs.