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Rasmus
Rasmus 2014 年 2 月 24 日
編集済み: Walter Roberson 2014 年 2 月 25 日
a )
Plot the measuret data. Plot a parabola, that are pretty close to the measuret data - use fx p=(-0.4 , 0.2 ,-0.015). Calculate the sum of the squares of the deviation of the measuret data and the fit. Optimize p manuelly if needed.
data:
x: 2,3,4,5,6,7,8,9,10,11,12
y: 0.01,0.03,0.07,0.13,0.19,0.23,0.21,0.16,0.09,0.04,0.02
f(x)= p_3*x^2+p_2*x+p_1
Anyone who can help, I am having trouble with this one

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Star Strider
Star Strider 2014 年 2 月 24 日
Take a look at the documentation for polyfit. Everything on that page should get you started, including evaluating the polynomial and plotting it. Be sure to scroll all the way through to the end of the page. There are links there to a number of related MATLAB functions you will find useful.
  3 件のコメント
Rasmus
Rasmus 2014 年 2 月 25 日
Nevermind, i made it work :)
Star Strider
Star Strider 2014 年 2 月 25 日
Great!

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