Conditional cumsum - how to create?
Afficher commentaires plus anciens
This is probably easy, but my brain isn't working today...
How can you do the following operation in a vectorized way? I'd think it should be possible with some combination of cumsum, diff & logical indexing:
input = rand(10,1);
output = zeros(size(input);
output(1) = input(1);
for ind = 2:numel(input)
dif = input(ind) - input(ind-1);
if dif < 0
output(ind) = output(ind-1) + dif;
else
output(ind) = output(ind-1);
end
end
2 commentaires
the cyclist
le 2 Avr 2013
It would be useful if you also described conceptually what you are trying to do.
Eric Sampson
le 2 Avr 2013
Réponse acceptée
Plus de réponses (1)
Matt Tearle
le 2 Avr 2013
There may be better ways, but this works:
d = [true;diff(input)<0];
idx = find(d);
output = input(idx(cumsum(d)));
When the array is large enough, there's a pretty decent speedup (~50x)
5 commentaires
Eric Sampson
le 2 Avr 2013
Matt Tearle
le 2 Avr 2013
I copy/pasted your code and checked mine against it:
input = rand(100000,1);
tic
output = zeros(size(input));
output(1) = input(1);
for ind = 2:numel(input)
if (input(ind) - input(ind-1)) < 0
output(ind) = input(ind);
else
output(ind) = output(ind-1);
end
end
t1=toc;
tic
d = [true;diff(input)<0];
idx = find(d);
output2 = input(idx(cumsum(d)));
t2=toc;
max(abs(output-output2))
t1/t2
I always seem to get a difference of 0.
Eric Sampson
le 2 Avr 2013
Sean de Wolski
le 2 Avr 2013
As you know, the DWIM Toolbox still hasn't been released to the public.
Eric Sampson
le 2 Avr 2013
Catégories
En savoir plus sur Deep Learning Toolbox dans Centre d'aide et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!