Original Description:
The polar form of the Box-Muller transformation for calculating random variables with a Gaussian (or Normal) distribution.
This function can be useful for creating 'weighted' randomness - ie random values that tend to congregate around an 'average' rather than being evenly spread across the range of possibilities. Here's an example of using Gaussian pseudo-random numbers to make piles of snow.