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has been cited by the following article:

• TITLE: An Algorithm for Generating Random Numbers with Normal Distribution

  AUTHORS: Pirooz Mohazzabi, Michael J. Connolly

  KEYWORDS: Random Numbers, Central Limit Theorem, Normal Distribution, Gaussian Distribution

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.7 No.11, November 8, 2019

  ABSTRACT: 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.