How to create a matrix out of all the possible combinations of a vector

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Hi !
I want to fill a vector with specifice numbers of 1's and -1's, and the rest are zeros. And get all possible combinations in each row of a matrix.
For example, if I have a vector of length 12 and I want to have 5 elements = +1 and 4 elements = -1
Then, the results should be like:
M=[1 1 1 1 1 -1 -1 -1 -1 0 0 0; 0 0 0 1 1 1 1 1 -1 -1 -1 -1; -1 1 1 1 1 1 -1 -1 -1 0 0 0; .....]
and every other distinct combination of the three numbers.

Risposta accettata

Andrei Bobrov
Andrei Bobrov il 23 Lug 2019
Modificato: Andrei Bobrov il 23 Lug 2019
Please see answer by Roger Stafford.
In your case:
a = 3:5;
v = [0,-1,1];
n = cumsum(a,'reverse');
C1 = nchoosek(1:n(1),a(1)); % Here are the two calls on 'nchoosek'
C2 = nchoosek(1:n(2),a(2));
M = ones(size(C1,1)*size(C2,1),n(1)); % First, fill M with all 1's
k1 = 0;
for k2 = 1:size(C1,1)
p1 = C1(k2,:); % Use C1 to generate indices for inserting 0's
q1 = 1:n(1);
q1(p1) = []; % These indices will point to -1 and 1 locations
for k3 = 1:size(C2,1)
p2 = C2(k3,:); % Use C2 to generate indices for inserting -1's
k1 = k1 + 1; % Advance the row index of M
M(k1,p1) = v(1); % Insert 0's
M(k1,q1(p2)) = v(2); % and -1's
end
end
  2 Commenti
Rik
Rik il 23 Lug 2019
Just out of curiosity (and because I can't test myself because I'm on mobile): does this code allow longer vectors? And if so, why? What makes this approach fundamentally different from perms()?

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Più risposte (1)

Rik
Rik il 23 Lug 2019
https://www.mathworks.com/help/matlab/ref/perms.html
  2 Commenti
Nora Khaled
Nora Khaled il 23 Lug 2019
Modificato: Nora Khaled il 23 Lug 2019
Thank you for your answer!
This works for small numbers like in the example total of 10.
but it does not work with my actual implmentation it does not.
I get error msg:
Maximum variable size allowed by the program is exceeded.
Rik
Rik il 23 Lug 2019
All combinations will result in a huge matrix if you have a large number of elements. As the documentation warns: this is only practical for a small number of elements. This is a fundamental problem that you need to solve separately.

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