MATLAB Code Implementation for Curve Fitting

This MATLAB-based curve fitting program is implemented as a COM component, providing excellent usability particularly suitable for beginners. The implementation utilizes MATLAB's built-in fitting functions such as polyfit() for polynomial regression and fit() for custom model fitting, allowing users to handle complex datasets through straightforward function calls. The code architecture includes data preprocessing modules, fitting algorithm selection, and visualization components using plot() and scatter() functions for result display. The program's intuitive interface design enables users with minimal programming experience to quickly grasp curve fitting concepts. Key features include automated parameter optimization using least squares methods, residual analysis capabilities, and confidence interval calculations. The COM component implementation ensures seamless integration with other applications through standardized interfaces, facilitating smooth incorporation into existing data analysis workflows. The underlying algorithms support various fitting models including linear, polynomial, exponential, and custom user-defined functions. The code structure incorporates error handling mechanisms and data validation routines to ensure robust performance. This MATLAB-based solution represents an efficient and reliable tool for scientific researchers requiring comprehensive curve fitting capabilities with easy integration into broader analytical systems.