the routines you linked to give random numbers (selected from a gaussian (normal) distribution) with mean 0 and standard deviation 1. that's the usual way routines like these work.
it's quite easy to change that to any other mean and sd - you just multiple by the sd and then add the mean.
so, for example, if x
was generated by one of the routines above, then
y = 0.5 * x + 0.1
will have a standard deviation of 0.5 and a mean of 0.1.
so you don't need a separate routine for each combination of mean and sd. you just use the routines as given and then do the extra conversion.