[Cmpl] Monte carlo simulation in cmpl?

[Richard Males]

I am interested in surrounding an lp solution with a monte carlo
simulation, varying parameters according to known distributions.   I have
seen in other optimization languages (e.g. GAMS) that there is the
possibility of looping over a solution.  Is this something that is or will
be available in cmpl, or does it need to be handled externally, perhaps
through the python bindings?

A related question is whether additional distributions beyond rand() are
contemplated as part of the language?
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