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Any recommendation how to vectorize this double for loop?

조회 수: 2(최근 30일)
UCL student
UCL student 2014년 10월 30일
마감: MATLAB Answer Bot 2021년 8월 20일
I am a beginner in Matlab, and I would like to speed up the following:
X = 100;
MA = NaN(X,3);
for looper = 1:X
compareDist = inf;
array = MM(looper,:);
for looper2 = 1:size(array,1)
currPoint = cell2mat(C(looper,looper2));
currDist = distancePoints3d(pP, currPoint);
if(~isnan(currPoint(1))&&currDist<compareDist)
compareDist = currDist;
MA(looper,:) = currPoint;
end
end
end
Any help is appreciated. Thanks.
  댓글 수: 6
Sean de Wolski
Sean de Wolski 2014년 10월 31일
How long does it take and how many times do you have to run it?

답변(1개)

lvn
lvn 2014년 10월 31일
A couple of things:
1. If size(MM(looper,:),1) is independent of looper (as you suggest?), you can simply precalculate it before the loops.
2. Depending on your specific data cell2mat(C(looper,looper2)) can be vectorized by precalculating C2=cell2mat(C); be careful with indexing afterwards though (because all will be merged in one large array). Much easier, if C(looper,looper2) all have the same dimension is to get rid of cells altogether and store your C data in higher dimension matrices.
3. Test for ~isnan(currPoint(1)) before calling distancePoints3d, since if it is NaN the output of distancePoints3d is not used.
4. If you have managed to speed up the code, please post the new code, so we can work on the remainder :)

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