An Algorithm for Generating Random Numbers with Normal Distribution
Pirooz Mohazzabi, Michael Connolly · Journal of Applied Mathematics and Physics · 2019
A new algorithm is suggested based on the central limit theorem for generating pseudo-random numbers with a specified normal or Gaussian probability density function. The suggested algorithm is very simple but highly accurate, with an efficiency that falls between those of the Box-Muller and von Neumann rejection methods.