Data Fitting with MATLAB

Data fitting
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Updated Tue, 09 Apr 2019 13:15:18 +0000

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This code will discuss the practical implementation of the curve fitting schemes. The schemes to be explored are least-square fits, polynomial fits,
line interpolation and spline interpolation. Additionally, a nonpolynomial least-square fit will be considered which results in a nonlinear system of equations. This nonlinear system requires additional insight into the problem and sophistication in its solution technique. To begin the data fit process, we first import a relevant data set into the MATLAB environment. To do so, the load command is used. The file linefit.dat is a collection of x and y data values put into a two-column format separated by spaces.

Cite As

Mohamed Abugammar (2024). Data Fitting with MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/71163-data-fitting-with-matlab), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0