Assigning Random Weights at each Loop Iteration

I am trying to assign Random Weights (between 0 and 1) in each loop iteration. Could you please guide that how to do the same in this chunk of code, such that W gets new values between 0 and 1 each time the loop repeats itself.

W = [.41 .99 .51 .32 .15 .45 .38 .32 .36 .29 .21];
DG = sparse([6 1 2 2 3 4 4 5 5 6 1],[2 6 3 5 4 1 6 3 4 3 5],W)

Answer 1

[Andrei Bobrov]

W = rand(1,11);
DG = sparse([6 1 2 2 3 4 4 5 5 6 1],[2 6 3 5 4 1 6 3 4 3 5],W)

[Walter Roberson]

Your original matrix had 11 weights. Your indices now have length 12. You need W = rand(1,12) to match.

[A M]

Yes, i figured out. Thanks a lot for the help :-)

Answer 2

[Walter Roberson]

Have you considered using sprand() ?

[A M]

How to use sprand() in this case? If i m not mistaken, sprand() returs a mxn matrix.

In above case, rand(1,12) is returning a vector. Isn't so?

[Walter Roberson]

sprand returns an m x n sparse matrix filled to occupancy you specify. The locations are chosen at random.

Your call to sparse() is creating a 6 x 6 sparse matrix and using fixed positions to store the values. That is definitely something that needs to be done sometimes, but if it happens that the code you did not show us is picking out those indices at random then sprand() might be more convenient. Except, that is, that sprand() is filled by probability, not by fixed number of non-zero results.