Conditional cumsum - how to create?
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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 Comments
the cyclist
on 2 Apr 2013
It would be useful if you also described conceptually what you are trying to do.
Eric Sampson
on 2 Apr 2013
Accepted Answer
More Answers (1)
Matt Tearle
on 2 Apr 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 Comments
Eric Sampson
on 2 Apr 2013
Matt Tearle
on 2 Apr 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
on 2 Apr 2013
Sean de Wolski
on 2 Apr 2013
As you know, the DWIM Toolbox still hasn't been released to the public.
Eric Sampson
on 2 Apr 2013
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