Random number with no repeats in set matrix
3 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Rainaire Hansford
am 14 Apr. 2019
Kommentiert: Walter Roberson
am 28 Jun. 2019
Hello again.
I want to make a matrix with random numbers that do not repeat in each row in a k X p matrix
and can be modified depending on inputs.
So far i have a code:
clc
k=input('# rows ');
p=input('# columns')
S=randperm(p);
S=S(1:(k*p));
S=reshape(S,k,p)
This works some times but not all the times.
Please help?
4 Kommentare
Walter Roberson
am 20 Apr. 2019
Bearbeitet: Walter Roberson
am 20 Apr. 2019
hasdup = any( sum(bsxfun(@eq, s, permute(unique(s), [2 3 1])),2) > 1, 3);
Now hasdup is true for the rows of s which contain duplicate values within the row (and so you will need to regenerate the row.)
It is not clear to me why you do not use the sort-based code that I posted: it is guaranteed that the rows of S will contain unique integers in the range 1 to p with no need to regenerate.
Akzeptierte Antwort
Walter Roberson
am 14 Apr. 2019
Old trick that randperm() used to implement:
[~, S] = sort(rand(k, p), 2);
14 Kommentare
Weitere Antworten (2)
Steven Lord
am 21 Jun. 2019
You have a requirement that no row may contain the same number twice. Can different rows in the same matrix contain the same number? So in the example below, A would not be acceptable (the second row has two 3's) but B would be acceptable (the first and second rows each have 2)?
A = [1 2; 3 3];
B = [1 2; 2 3];
If so, call randperm once for each row, telling it to generate size(B, 2) numbers from 1 to your upper limit.
nrows = 10;
ncols = 7;
maxvalue = 100;
A = zeros(nrows, ncols);
for whichrow = 1:nrows
A(whichrow, :) = randperm(maxvalue, ncols);
end
If you call rng default immediately before calling that code the resulting matrix should have three rows that contain the number 4 and three rows that contain 89, but that neither 4 nor 89 repeat in the same row.
0 Kommentare
Rainaire Hansford
am 21 Jun. 2019
7 Kommentare
Walter Roberson
am 28 Jun. 2019
You can use reshape and bsxfun to compare each member of one array to each member of another, resulting in a k by s by w by p array. You then any() along one of the dimensions and sum along a different dimension and squeeze to get a 2d array of results.
Siehe auch
Kategorien
Mehr zu Propagation and Channel Models finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!