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Question about Parfor-loop

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Mar
Mar 2018 年 4 月 11 日
コメント済み: Mar 2018 年 4 月 19 日
I do nonlinear fitting within a nested for loop as shown below:
for i=1:200
for j=1:170
for k=1:50
%do nonlinear fitting
[p,res] = lsqnonlin()
params(i,j,k,1:5)=[p,fix_par(i,j,k),res];
end
end
end
The above loop is extremely slow and I am trying to find ways to speed it up. I've read about the parlour-loop (which I am not familiar at all - I'm new to programming). I tried to use it but I got the following error "The variable params in a parfor cannot be classified." I tried something as below:
parfor i=1:200
parfor j=1:170
parfor k=1:50
%do nonlinear fitting
[p,res] = lsqnonlin()
params(i,j,k,1:5)=[p,fix_par(i,j,k),res];
end
end
end
  3 件のコメント
Mar
Mar 2018 年 4 月 19 日
My data are 4D images with dimensions [200 170 50 31]. I am doing pixel-wise fitting that's why I am calling lsqnonlin so many times. Is there any alternative way to suggest?

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