Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Improving the Statistical Quality of Pseudo-Random Number Generators by Using Multiply-With-Carry
This study evaluates the statistical properties of pseudo-random number generators (PRNGs) that use the multiply-with-carry method. This method is applied to the linear congruential generator (LCG), which is a well-known method in the literature, and it is heavily used by the software industry. The statistical properties of this PRNG are evaluated using two famous tests: PractRand and TestU01. Evaluation results confirmed that the statistical properties of the LCG PRNG are improved by using the multiply-with-carry method.
Improving the Statistical Quality of Pseudo-Random Number Generators by Using Multiply-With-Carry
This study evaluates the statistical properties of pseudo-random number generators (PRNGs) that use the multiply-with-carry method. This method is applied to the linear congruential generator (LCG), which is a well-known method in the literature, and it is heavily used by the software industry. The statistical properties of this PRNG are evaluated using two famous tests: PractRand and TestU01. Evaluation results confirmed that the statistical properties of the LCG PRNG are improved by using the multiply-with-carry method.
Improving the Statistical Quality of Pseudo-Random Number Generators by Using Multiply-With-Carry
Gdeisat, Munther (Autor:in) / Al Sa'd, Mohammad (Autor:in) / Moumouni, Yacouba (Autor:in) / Judi, Arif (Autor:in) / Khodary, Ahmed (Autor:in) / Desmal, Abdulla (Autor:in) / Arbi, Abdelrahman (Autor:in) / Asous, Jawdat (Autor:in) / Galupa, Nicolae (Autor:in) / Shareef, Zahid (Autor:in)
03.06.2024
384857 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
| British Library Online Contents | 1993
Improving Stochastic Rainfall Generators
| British Library Conference Proceedings | 2010
Mixture model based multivariate statistical analysis of multiply censored environmental data
| British Library Online Contents | 2013