Random matrix with no repeats in rows and columns.
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So I have generated a random matrix with dimensions 10x15 with values between 2 and 18 with step length 2.
candidates = 2:2:18;
idx = randi(numel(candidates), 10, 15);
M = candidates(idx)
So my questions is how do I do to never get a value above, under or next to the same value. As the ones I have marked with red in the picture.
Jan on 25 Nov 2021
Edited: Jan on 26 Nov 2021
Create the matrix elementwise. Choose a random element from the available elements. Exclude elements on top and left of the element to be set:
nx = 15;
ny = 10;
pool = 1:9; % Choose values 1:9, multiply by 2 finally
M = zeros(ny, nx);
for ix = 1:nx
for iy = 1:ny
% Exclude elements on the left and on the top from pool:
exclude = [M(gt0(iy - 1), ix), M(iy, gt0(ix - 1))];
choose = pool;
choose(exclude) = ;
% Nicer but slower in one line:
% choose = setdiff(pool, [M(gt0(iy - 1), ix), M(iy, gt0(ix - 1))]);
% Choose a random element from the remaining list:
M(iy, ix) = choose(randi(numel(choose)));
M = M * 2
function k = gt0(k)
% Reply  as index, if it is <= 0
if k <= 0, k = ; end
I've experimented with cumsum(cumsum(randi([1, 9], 10, 15), 1), 2): There are no repetitions. Then limit the values by rem(). This was not successful. In one dimension it is working, but not in 2.
More Answers (2)
the cyclist on 26 Nov 2021
Edited: the cyclist on 26 Nov 2021
I believe this does what you want.
% Set the random number seed, for reproducibility
% The pool of random numbers to choose from
pool = 2:2:18;
% The size of the array
M = 10;
N = 15;
% Preallocate the output array
out = zeros(M,N);
% Fill the upper-left element from the pool
out(1,1) = randsample(pool,1);
% Fill the first column, never repeating the just-above value
for i1 = 2:M
out(i1,1) = randsample(setxor(pool,out(i1-1,1)),1);
% Fill the first row, never repeating the just-left value
for j1 = 2:N
out(1,j1) = randsample(setxor(pool,out(1,j1-1)),1);
% Fill the rest of the array, never repeating the just-above and just-left values
for ii = 2:M
for jj = 2:N
out(ii,jj) = randsample(setxor(pool,[out(ii-1,jj),out(ii,jj-1)]),1);
I would caution you, though, that I have not thought carefully about the random properties of this array. (For example, does each element have equal probability for each value, etc., that might be important to you.) I think it's probably OK.
Also, if you do not have the Statistics and Machine Learning Toolbox, you will not have the randsample function, and therefore will need to replicate that function's behavior.