How to use array data for successive operations

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Hello everyone,
I hope someone could help me.
I used the 'normalize' function for a set of data and then I used fitsurface to interpolate them with e surface in space. This is the code:
A = [4.6; 9.3; 13.9; 18.6; 23.5; 28.5];
X = normalize(A,'range');
B = [10; 20; 30; 40; 50; 60];
Y = normalize(B,'range');
C = [3.06; 2.56; 2.51; 2.54; 1.6; 1.9];
Z = normalize(C,'range');
plot3(X,Y,Z,'or');
fs=fit([X,Y],Z, 'poly22')
plot(fs, [X,Y],Z)
I would like to normalize each element of the three arrays through this following function:
xinorm = (xi - xmin)/ (xmax - xmin)
HOw can I call each individual element in the expression to obtain a new array with normalized elements?
For example:
one single normalized element of array A should be x2norm = (9.3 - 4.6)/(28.5 - 4.6). I would like to do this for all elements and obtain the vector with all normalized values, in the end to plot them and use fitsurface again.
Thank you very much for your help.
Regards,
Laura

Accepted Answer

Pavan Guntha
Pavan Guntha on 27 Jul 2021
Hi Laura,
You could leverage vectorization techniques to solve the problem. Have a look at the following code:
A = [4.6; 9.3; 13.9; 18.6; 23.5; 28.5];
xiNorm = norm_func(A);
B = [10; 20; 30; 40; 50; 60];
yiNorm = norm_func(B);
C = [3.06; 2.56; 2.51; 2.54; 1.6; 1.9];
ziNorm = norm_func(C);
plot3(xiNorm,yiNorm,ziNorm,'or');
fs=fit([xiNorm,yiNorm],ziNorm, 'poly22')
plot(fs, [xiNorm,yiNorm],ziNorm)
function arrOut = norm_func(A)
minA = min(A);
maxA = max(A);
arrOut = (A - minA)./(maxA - minA);
end
Hope this helps!

More Answers (1)

laura bagnale
laura bagnale on 27 Jul 2021
Hi Pavan,
thank you very much for your support! This helps a lot!
Best Regards,
Laura

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