vectorizing or speeding looped code

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Paul Schenk
Paul Schenk on 22 Sep 2020
Moved: Rik on 4 Feb 2026 at 13:58
i am trying to speed up some code with multiple functions and have found the one that takes the most time (it is all a converted fortran code). it runs a nested for loop 4 times (each with modified input). i've had some success elsewhere in the code eliminating slow points but this one just cant get right. any ideas? (in 2016b for compatability reasons)
for II= 1:N
XP(1)= 1.0D0;
for JJ=2:IORD1
XP(JJ)=XP(JJ-1)*double(A1(II));
end
for JJ= 1:IORD1
for KK= 1:IORD1
B(JJ,KK)=B(JJ,KK)+XP(JJ)*XP(KK);
end
C(JJ)=C(JJ)+XP(JJ)*A2(II);
end
end

Answers (1)

Turlough Hughes
Turlough Hughes on 22 Sep 2020
This should help, though I've already made assumptions about the sizes of arrays. How many rows/columns are in each variable?
XP(1) = 1;
for II= 1:N
XP(2:end) = XP(1:end-1)*double(A1(II));
B = B + XP(:).*XP(:).';
C = C + XP*A2(II);
end
  10 Comments
Turlough Hughes
Turlough Hughes on 23 Sep 2020
Moved: Rik 1 minute ago
eqor=1 ? I assume that's MAXOR?
Paul Schenk
Paul Schenk on 23 Sep 2020
Moved: Rik 1 minute ago
yes, my mistake!

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