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 in the sense of least squares approximates these data.Which of these approximating functions would you choose and why?
采纳的回答
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.
6 个评论
Daniel Gawlinski
2021-1-25
Birdman
2021-1-25
Ok, defining variables is pretty easy in MATLAB:
x=1:0.25:2.5;
y=[0.16 0.99 3.095 4.485 3.075 1.01 0.145];
After this, in the Apps tab of MATLAB, open Curve Fitting app. It should look something like this:
So, the defined variables will be selected in X data and Y data tabs respectively. After that, select Custom Equation option at the tab where it is selected Polynomial in this figure. After that, enter your exponential equation and you will obtain the parameter of the equation.
Daniel Gawlinski
2021-1-25
What form of matlab notation should the function 
be ?
be ?
Birdman
2021-1-25
You can define it either symbolically or numerically. I would use symbolic approach:
syms f(x)
%%insert a0 a1 and a2 values before defining the function
f(x)=exp(-(a0+a1*x+a2*x^2));
Since you found the values of constants, you should insert them to the function:
Daniel Gawlinski
2021-1-25
Daniel Gawlinski
2021-1-25
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