A practical approach to testing random number generators in computer algebra systems

Autor:	Gevorkyan, Migran N., Kulyabov, Dmitry S., Demidova, Anastasia V., Korolkova, Anna V.
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Computer Science - Mathematical Software Computer Science - Symbolic Computation
Druh dokumentu:	Working Paper
DOI:	10.1134/S096554252001008X
Popis:	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 Up to now, a large number of libraries and weakly supported mathematical packages use outdated algorithms for random number generation.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. Comment: in English, in Russian
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2004.08913 Zobrazit plný text záznamu View this record from Arxiv