| Talk | |||||||||||
| Title | Highest-Quality Random Number Generators | ||||||||||
| Video |
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| Author(s) | James, Fred (speaker) | ||||||||||
| Corporate author(s) | CERN. Geneva | ||||||||||
| Imprint | 2020-02-26. - 1:13:34. | ||||||||||
| Series | (EP-IT Data science seminars) | ||||||||||
| Lecture note | on 2020-02-26T11:00:00 | ||||||||||
| Subject category | EP-IT Data science seminars | ||||||||||
| Abstract | When Martin Lüscher introduced RANLUX in 1994, it was the first pseudorandom number generator based on the theory of Mixing in classical dynamical systems. Now 25 years later, it is still very successful but it is no longer alone, since two more recent algorithms, MIXMAX and RANLUX++, also based on the same theory of Mixing, are now available. A study of the behaviour of these algorithms sheds new light on the conditions under which these random number generators can be considered to have no detectable defects. | ||||||||||
| Copyright/License | © 2020-2024 CERN | ||||||||||
| Submitted by | lorenzo.moneta@cern.ch | ||||||||||
Record created 2020-02-29, last modified 2022-11-02
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