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Review of High-Quality Random Number Generators
This is a review of pseudorandom number generators (RNG’s) of the highest quality, suitable for use in the most demanding Monte Carlo calculations. All the RNG’s we recommend here are based on the Kolmogorov–Anosov theory of mixing in classical mechanical systems, which guarantees under certain cond...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/s41781-019-0034-3 http://cds.cern.ch/record/2678858 |
_version_ | 1780962858756997120 |
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author | James, Frederick Moneta, Lorenzo |
author_facet | James, Frederick Moneta, Lorenzo |
author_sort | James, Frederick |
collection | CERN |
description | This is a review of pseudorandom number generators (RNG’s) of the highest quality, suitable for use in the most demanding Monte Carlo calculations. All the RNG’s we recommend here are based on the Kolmogorov–Anosov theory of mixing in classical mechanical systems, which guarantees under certain conditions and in certain asymptotic limits, that points on the trajectories of these systems can be used to produce random number sequences of exceptional quality. We outline this theory of mixing and establish criteria for deciding which RNG’s are sufficiently good approximations to the ideal mathematical systems that guarantee highest quality. The well-known RANLUX (at highest luxury level) and its recent variant RANLUX++ are seen to meet our criteria, and some of the proposed versions of MIXMAX can be modified easily to meet the same criteria. |
id | cern-2678858 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
record_format | invenio |
spelling | cern-26788582023-03-14T17:24:03Zdoi:10.1007/s41781-019-0034-3http://cds.cern.ch/record/2678858engJames, FrederickMoneta, LorenzoReview of High-Quality Random Number Generatorsphysics.comp-phOther Fields of PhysicsThis is a review of pseudorandom number generators (RNG’s) of the highest quality, suitable for use in the most demanding Monte Carlo calculations. All the RNG’s we recommend here are based on the Kolmogorov–Anosov theory of mixing in classical mechanical systems, which guarantees under certain conditions and in certain asymptotic limits, that points on the trajectories of these systems can be used to produce random number sequences of exceptional quality. We outline this theory of mixing and establish criteria for deciding which RNG’s are sufficiently good approximations to the ideal mathematical systems that guarantee highest quality. The well-known RANLUX (at highest luxury level) and its recent variant RANLUX++ are seen to meet our criteria, and some of the proposed versions of MIXMAX can be modified easily to meet the same criteria.This is a review of pseudorandom number generators (RNG's) of the highest quality, suitable for use in the most demanding Monte Carlo calculations. All the RNG's we recommend here are based on the Kolmogorov-Anosov theory of mixing in classical mechanical systems, which guarantees under certain conditions and in certain asymptotic limits, that points on the trajectories of these systems can be used to produce random number sequences of exceptional quality. We outline this theory of mixing and establish criteria for deciding which RNG's are sufficiently good approximations to the ideal mathematical systems that guarantee highest quality. The well-known RANLUX (at highest luxury level) and its recent variant RANLUX++ are seen to meet our criteria, and some of the proposed versions of MIXMAX can be modified easily to meet the same criteria.arXiv:1903.01247oai:cds.cern.ch:26788582019-03-04 |
spellingShingle | physics.comp-ph Other Fields of Physics James, Frederick Moneta, Lorenzo Review of High-Quality Random Number Generators |
title | Review of High-Quality Random Number Generators |
title_full | Review of High-Quality Random Number Generators |
title_fullStr | Review of High-Quality Random Number Generators |
title_full_unstemmed | Review of High-Quality Random Number Generators |
title_short | Review of High-Quality Random Number Generators |
title_sort | review of high-quality random number generators |
topic | physics.comp-ph Other Fields of Physics |
url | https://dx.doi.org/10.1007/s41781-019-0034-3 http://cds.cern.ch/record/2678858 |
work_keys_str_mv | AT jamesfrederick reviewofhighqualityrandomnumbergenerators AT monetalorenzo reviewofhighqualityrandomnumbergenerators |