Square approximation with a second degree polynomial, function determine.
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Good morning, please explain how to do this in matlab? Thank you in advance for your help.
For the data in the table:
make the mean-square approximation using a second degree polynomial.
Determine the parameters of the function , which in the sense of least squares approximates these data.
Which of these approximating functions would you choose and why?
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Birdman
2021 年 1 月 25 日
編集済み: Birdman
2021 年 1 月 25 日
Simply, you need to use Curve Fitting app for this purpose. Define your Xi and f(Xi) vectors in MATLAB workspace. Then open Curve Fitting app to use the variables that you define. Then, select Custom Equation option for fitting a curve and enter the equation of yours into there. You should get a perfect curve with specified parameters. I did on my side. I don't paste the answer because I want you to do and learn.
The reason for selection and exponential function is the dataset exhibits a normal distribution behavior.
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