Speed up nested for loop

Hi,
I am looking for ways to speed up the nested for loop below, but am having trouble working out how- I have tried to vectorise with meshgrid but this didn't seem to work greatly.
for ix=2:nx-1
for jy=2:ny-1
phinew(ix,jy)=0.5*1/((dx^2)+(dy^2))*((dy^2)*(phiold(ix+1,jy)+phiold(ix-1,jy))+(dx^2)*(phiold(ix,jy+1)+phiold(ix,jy-1)));
end
end
nx and ny are both = 100, and phinew and phiold are 100x100 doubles. Dy and Dx are related to lengths input by the user.

1 个评论

But dx, dy are independent of ix,jy. Compute the constants outside the loop; not sure if the ML JIT compiler is smart enough to find the invariant common expressions or not. Don't rely on it; give it some help.
Look at filter2
Reverse order of the loops and iterate down column first...altho 100x100 is small enough to not make cache miss likely.

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R2019a

提问:

2019-12-6

评论:

dpb
2019-12-6

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