Is there a way to reduce compilation time for this segment?

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tic
iscorr = 1;
myunc = zeros(1,length(Kurzschluss.Plateaus_I));
myfunction = '(X2/X1)*(sqrt(1 - X3^2/(X2^2 * X1^2)))';
for i=1:length(mystruct.Plateaus_I)
x1 = mystruct.Plateaus_I{1,i};
x2 = mystruct.Plateaus_U{1,i};
x3 = mystruct.Plateaus_P{1,i};
myunc(i) = calculateEndUncertainty_3(x1,x2,x3,iscorr,myfunction);
end
toc
  4 个评论
darova
darova 2019-9-8
You have a lot of eval() that is why script is slow
The function below depends on f(), temp(), temp_c1(), temp_c2()
Maybe you can attach whole your project? Any description?
Souheil Araoud
Souheil Araoud 2019-9-8
The whole project is way too long. This function is supposed to take 3 inputs of a function as vectors (in my case containing about 5 lightly diffefrent values) and calculate the uncertainty of the result based on the mean value of each input vector etc.. The function has been applied on 3 unidimensional cells named Plateaus_I, Plateaus_U and Plateaus_P containing a vector in each cell.

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采纳的回答

darova
darova 2019-9-8
See if it works

更多回答(1 个)

Jackson Burns
Jackson Burns 2019-9-8
Hi Souheil!
If you have access to the parallel computing toolbox, you can improve execution time with a parfor loop.
tic
iscorr = 1;
myunc = zeros(1,length(Kurzschluss.Plateaus_I));
myfunction = '(X2/X1)*(sqrt(1 - X3^2/(X2^2 * X1^2)))';
parfor i=1:length(mystruct.Plateaus_I)
x1 = mystruct.Plateaus_I{1,i};
x2 = mystruct.Plateaus_U{1,i};
x3 = mystruct.Plateaus_P{1,i};
myunc(i) = calculateEndUncertainty_3(x1,x2,x3,iscorr,myfunction);
end
toc
Other optimizations will likely come from improving your functions, such as calculateEndUncertainty_3. This page from MathWorks has some great advice on how to do this. I would reccomend looking at vectorization in particular, as MATLAB is extremely powerful when properly vectorized.
Hope this helps, good luck!

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