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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...

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Detalles Bibliográficos
Autores principales: James, Frederick, Moneta, Lorenzo
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1007/s41781-019-0034-3
http://cds.cern.ch/record/2678858
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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.
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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