vectorizing or speeding looped code

10 ビュー (過去 30 日間)
Paul Schenk
Paul Schenk 2020 年 9 月 22 日
移動済み: Rik 2026 年 2 月 4 日 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

回答 (1 件)

Turlough Hughes
Turlough Hughes 2020 年 9 月 22 日
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 件のコメント
Turlough Hughes
Turlough Hughes 2020 年 9 月 23 日
移動済み: Rik 2026 年 2 月 4 日 13:58
eqor=1 ? I assume that's MAXOR?
Paul Schenk
Paul Schenk 2020 年 9 月 23 日
移動済み: Rik 2026 年 2 月 4 日 13:58
yes, my mistake!

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