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The title is pretty self-explanatory.

I need to efficiently generate correlation matrices (i.e. semidefinite-positive, symmetric and all ones along the diagonal) of size $n$, with the limit that every coefficient should not be lower than 0.

All the algorithms I have found works with the classical boundaries of $[-1;1]$, but I need this boundary to be $[0;1]$. Do you know any way to do this?

Also, uniform distribution of the generated random matrices over the feasible domain of valid correlation matrices with the given constraints is a plus.

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    $\begingroup$ 1. Generate diagonally dominant matrix, but this seriously limits the population. 2 Generate a random symmetric matrix and push it through semidefinite programming, but this can be slow $\endgroup$
    – jf328
    Apr 14, 2016 at 10:14
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    $\begingroup$ Generate a random wishart-ditributed matrix, as a start. $\endgroup$ Apr 14, 2016 at 11:19

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