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MATLAB simulation of curve fitting based on least-squares. (Chinese. English summary) Zbl 1313.65021

Summary: The principle of curve fitting based on least squares method is introduced. The method of curve fitting by a function, the method of curve fitting by a graphical interface and the method of curve fitting by a fitting toolbox are analyzed by examples specifically. The effects and characteristics of various methods of fitting are compared and analyzed. The following conclusions by analyzing are obtained: there is a need for a better understanding of the fitting function and the related programs have to be written using the method of curve a fitting by a function. This method is more flexible. The characteristics are intuitive, simple and the parameters and residuals of the fitting equation can be obtained by using the method of curve fitting by a graphical interface or by a fitting toolbox. The fitting accuracy is high and the effect is good.

MSC:

65D10 Numerical smoothing, curve fitting

Software:

Matlab
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