How to find a polynomial of degree 2 that fits the given data with minimal approximation error? and then sketch discrete points and the graph of the polynomial

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Kate Smith
Kate Smith 2019-4-7
编辑： Stephan 2019-4-7
Suppose you have the following data: (0, 1.0000), (0.25, 1.2840), (0.50, 1.6487), (0.75, 2.1170) and (1.00, 2.7183) . Find a polynomial P (x) of degree 2 that fits the data with the minimal approximation error. Calculate this error. Then sketch these discrete points and the graph of the polynomial P(x) in a figure using MATLAB.

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回答（2 个）

the cyclist
the cyclist 2019-4-7
You could use the polyfit and plot commands (and of course a few more fundamental calculations like subtraction) to do this.
Stephan
Stephan 2019-4-7
编辑：Stephan 2019-4-7
Hi,
polyfit does the job:
[p,S,mu] = polyfit(x,y,n)
in your case n=2.
Best regards
Stephan

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