How to fit my data with an array instead of standard functions?
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I have an x-data and y-data as an array. I want to fit it with another function made from another array instead of standard functions like 'poly2' etc. Here is a simplified example of the problem. In my work the fitting function may not be any standard function (i.e. which cannot be written analytically).
x=[0;1;2;3;4;5;6;7;8;9;10]; %x Data
y=[0;1;3;9;16;23;36;50;64;84;99]; %y Data
f=fit(x,y,'poly2') % standard way of fitting
plot(f,x,y) %plotting the fit
%% Instead of 'poly2' I want to use fit_funtion to fit my data which is made of an array of data points, z
% z=[0;1;4;9;16;25;36;49;64;81;100]
% fit_funtion= p1*z.^2+p2*z+p3 % p1, p2, p3 are the coefficients to fit
Instead of 'poly2' I want to use fit_funtion to fit my data which is made of an array of data points, z
z=[0;1;4;9;16;25;36;49;64;81;100]
and my fitting function is made of a combination of z as below
fit_funtion=
where p1, p2, p3 are the coefficients to fit.
Is there any technique availabe in MATLAB to do this kind of fitting?
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