Curve fitting made easy with Matlab

Curve fitting is a technique of finding an algebraic relationship that best fits a given set of data.

Engineers and scientists often want to represent empirical information using a model based on mathematical equations. With the correct model one can determine important characteristics of the data, such as the rate of change along the curve, the minimum or maximum points of

the function, or the area under the curve, among others.

The goal of data or curve fitting is to find the parameter values that most closely match the data. The models to which data are fitted depend on adjustable parameters.

Here’s a video explanation of how you can use the basic fitting tool that can be found within the figure windows in Matlab.

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Linear Regression

Curvilinear or Lagrange Interpolation

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