How to vectorize this code?
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Could you let me know how to vectorize the below for-loop ?
pigrid = zeros(knum,epnum,sepnum,znum,sznum);
for ki = 1:knum
for epi = 1:epnum
for sepi = 1:sepnum
for zi = 1:znum
for szi = 1:sznum
pigrid(ki,epi,sepi,zi,szi) = epgrid(epi,sepi)*zgrid(zi,szi)*kgrid(ki)^alpha-f;
end
end
end
end
end
댓글 수: 9
Adam Danz
2018년 8월 6일
Please provide values of knum,epnum,sepnum,znum,sznum. If the current nested loop strategy works, why do you need to vectorize it? Assuming epgrid, zgrid, and kgrid and matricies, this should be really fast.
Here's what I got so far. It's a simplification but still relies on 3 of your 5 loops.
for ki = 1:knum
for epi = 1:epnum
for sepi = 1:sepnum
pigrid(ki,epi,sepi,:,:) = epgrid(epi,sepi)*zgrid(1:znum,1:sznum)*kgrid(ki)^alpha-f;
end
end
end
if zgrid(1:znum,1:sznum) == zgrid, then a further simplification would be
for ki = 1:knum
for epi = 1:epnum
for sepi = 1:sepnum
pigrid(ki,epi,sepi,:,:) = epgrid(epi,sepi)*zgrid*kgrid(ki)^alpha-f;
end
end
end
Further vectorization would require a few repmat() and reshape() function calls to store the results in your current 5D variable and I'm not sure you're going to save time by doing that. Nevertheless, I'd love to see a complete vectorization of this from someone who has more time to fiddle with it.
icdi
2018년 8월 6일
OCDER
2018년 8월 6일
Moved from Answers to here.
"Thanks for your response. znum is not 10 but 7. Sorry about my typo."
In that case, my other answer wouldn't have worked... hm... The only way I can see this loop go faster is to move the
kgrid(ki)^alpha
outside the nested loops to prevent recalculating this value many times.
OCDER
2018년 8월 6일
By the way, just realized your ID name is "matwork" with a mathworks logo. Perhaps try changing your ID and logo so that it does not seem to impersonate MathWorks employees.
https://www.mathworks.com/matlabcentral/termsofuse.html Read Content 2.ii
icdi
2018년 8월 6일
OCDER
2018년 8월 6일
No problem. And make sure to accept @Adam's answer, once he copies it over to the Answer section :)
icdi
2018년 8월 6일
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