Calculate differences between all values in vector
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I'm trying to produce some code that will calculate the differences between nearly all values in a vector.
Specifically, say I have a vector [2 3 1 4]
Starting at 2 and moving through the vector, I need to calculate the difference between 2 and 3 (i.e. -1), 2 and 1, 2 and 4, then 3 and 1, 3 and 4, and then 1 and 4. I don't need to calculate the difference between, say, 3 and 2, and I'm only interested in the differences in one direction.
The vector I want to use the code on will be substantially bigger, and I'd like the output stored in a new, single column vector. I figured diff might provide a way forward, but can't see how to implement it specifying a 'lag'. Any help would be appreciated.
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David Sanchez
2014-4-7
my_vct = [2 3 1 4 5 6];
L = numel(my_vct);
tmp_vct = [my_vct(2:end) my_vct(end)];
x = my_vct - tmp_vct;
sol = zeros(L-1,L);
for k=2:L
tmp_vct = [my_vct(k:end) my_vct((L-k+2):end)];
sol(k-1,:) = my_vct - tmp_vct;
end
sol =
-1 2 -3 -1 -1 0
1 -1 -4 -2 0 0
-2 -2 -5 0 0 0
-3 -3 0 0 0 0
-4 0 0 0 0 0
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更多回答(2 个)
Jos (10584)
2014-4-7
编辑:Jos (10584)
2014-4-7
V = [2 3 1 4] ;
D1 = bsxfun(@minus,V(:), V(:).') % square form
% another option, only unique combinations, requires less memory
D2 = arrayfun(@(k) V(k:end)-V(k), 1:numel(k),'un',0)
D2 = [D2{:}]
3 个评论
Soyy Tuffjefe
2021-8-14
编辑:Soyy Tuffjefe
2021-8-14
I have a 5x1000 matrix (numerical entries),
M=[1 5 8 75 120;
1 25 18 5 10;
⋮ ⋮ ⋮ ⋮ ⋮
7 39 118 125 10]
and want to apply her or his code:
D2 = arrayfun(@(k) V(k:end)-V(k), 1:numel(k),'un',0)
D2 = [D2{:}
to every row of M, please, could anybody modify this code for this job.
Thanks in avanced!
Mehri Mehrnia
2022-5-19
A great idea.
any body knows computation cost of bsxfun(@minus,V(:), V(:).')???
I mean linear or 2nd order or...
I work with arrays in order of millions, that's why it's important for me.
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