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A Practical Approach to Testing Random Number Generators in Computer Algebra Systems

Authors :
Migran N. Gevorkyan
Dmitry S. Kulyabov
Anna V. Korolkova
Anastasia V. Demidova
Source :
Computational Mathematics and Mathematical Physics. 60:65-73
Publication Year :
2020
Publisher :
Pleiades Publishing Ltd, 2020.

Abstract

This paper has a practical aim. For a long time, implementations of pseudorandom number generators in standard libraries of programming languages had poor quality. The situation started to improve only recently. Up to now, a large number of libraries and weakly supported mathematical packages use outdated algorithms for random number generation. Four modern sets of statistical tests that can be used for verifying random number generators are described. It is proposed to use command line utilities, which makes it possible to avoid low-level programming in such languages as C or C++. Only free open source systems are considered.<br />Comment: in English, in Russian

Details

ISSN :
15556662 and 09655425
Volume :
60
Database :
OpenAIRE
Journal :
Computational Mathematics and Mathematical Physics
Accession number :
edsair.doi.dedup.....eea6600eb14faba41f799a8cc6b4ada8
Full Text :
https://doi.org/10.1134/s096554252001008x