Abstract | ||
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Pseudo-random numbers (PRNs) are the basis for almost any statistical simulation and this depends largely on the quality of the pseudo-random number generator (PRNG) used. In this study, we used some results from number theory to propose an efficient method to accelerate the computer search of super-order maximum-period multiple recursive generators (MRGs). We conduct efficient computer searches a... |
Year | DOI | Venue |
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2021 | 10.23919/ANNSIM52504.2021.9552067 | 2021 Annual Modeling and Simulation Conference (ANNSIM) |
Keywords | DocType | ISBN |
MRGs,GMP,Super-order generators | Conference | 978-1-56555-375-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kenneth B. Pasiah | 1 | 0 | 0.34 |
Lih-Yuan Deng | 2 | 88 | 13.17 |
Dale Bowman | 3 | 1 | 2.40 |
Ching-Chi Yang | 4 | 0 | 0.68 |