Curve Fitting
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Resource Overview
Generate fitted curves and fitting equations by inputting point coordinates, with algorithms for polynomial, linear, and exponential models
Detailed Documentation
By inputting a series of point coordinates, we can generate fitted curves and corresponding fitting equations. Prior to generating the fitted curve, it is essential to select an appropriate fitting model. Common fitting models include linear models (implemented using least squares regression), polynomial models (utilizing polyfit functions for degree optimization), and exponential models (employing logarithmic transformations for linearization). The fitting equation can predict function values at unknown points, enabling data analysis and forecasting. Additionally, residual calculations between the fitted curve and original data can be performed to evaluate fitting accuracy through metrics like R-squared or root mean square error (RMSE).
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