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
댓글 수: 2
the cyclist
2013년 4월 2일
It would be useful if you also described conceptually what you are trying to do.
Eric Sampson
2013년 4월 2일
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Matt Tearle
2013년 4월 2일
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)
댓글 수: 5
Eric Sampson
2013년 4월 2일
Matt Tearle
2013년 4월 2일
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
2013년 4월 2일
Sean de Wolski
2013년 4월 2일
As you know, the DWIM Toolbox still hasn't been released to the public.
Eric Sampson
2013년 4월 2일
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