TY  - JOUR
AU  - Deon, Aleksei F. 
AU  - Menyaev, Yulian A. 
PY  - 2020
TI  - Twister Generator of Random Normal Numbers by Box-Muller Model
JF  - Journal of Computer Science
VL  - 16
IS  - 1
DO  - 10.3844/jcssp.2020.1.13
UR  - https://thescipub.com/abstract/jcssp.2020.1.13
AB  - Twisting generators of the pseudorandom normal variables can use uniform random sequences as a basis. However, such technique could provide poor quality result in cases where the original sequences have insufficient uniformity or skipping of random values. This work offers a new approach for creating the random normal variables using the Box-Muller model as a basis together with the twisting generator of uniform planes. The simulation results confirm that the random variables obtained have a better approximation to normal Gaussian distribution. Moreover, combining this new approach with the tuning algorithm of basic twisting generation allows for a significantly increased the length of created sequences without using any additional random access memory of the computer.