vectorisation a for loop
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c=5;
retint=0;
dist=log([10:-1:1]+retint);
for i=1:length(dist)
eta=exp(-c*abs(dist(i)-dist));
discrim(i)=1/sum(eta);
end
Does anyone know how to vectorise this for loop to make it more efficient?
1 Comment
Stephen23
on 8 Dec 2019
Because you are not concatenating anything, square brackets are not needed here:
dist=log((10:-1:1)+retint);
Accepted Answer
David Hill
on 8 Dec 2019
Although arrayfun is really a loop,
c=5;
retint=0;
dist=log([10:-1:1]+retint);
discrim=arrayfun(@(x)1/sum(exp(-c*abs(dist-x))),dist);
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More Answers (1)
Stephen23
on 8 Dec 2019
Real vectorized code (no loop or arrayfun):
eta = exp(-c*abs(bsxfun(@minus,dist,dist(:))));
discrim = 1./sum(eta,1)
Or for MATLAB versions >=R2016b:
eta = exp(-c*abs(dist-dist(:)));
discrim2 = 1./sum(eta,1)
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