vectorizing or speeding looped code

18 vues (au cours des 30 derniers jours)
Paul Schenk
Paul Schenk le 22 Sep 2020
Déplacé(e) : Rik le 4 Fév 2026 à 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

Réponses (1)

Turlough Hughes
Turlough Hughes le 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 commentaires
Turlough Hughes
Turlough Hughes le 23 Sep 2020
Déplacé(e) : Rik le 4 Fév 2026 à 13:58
eqor=1 ? I assume that's MAXOR?
Paul Schenk
Paul Schenk le 23 Sep 2020
Déplacé(e) : Rik le 4 Fév 2026 à 13:58
yes, my mistake!

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