Intensive statistical complexity measure of pseudorandom number generators

A Statistical Complexity measure has been recently proposed to quantify the performance of chaotic Pseudorandom number generators (PRNG) (Physica A 354 (2005) 281). Here we revisit this quantifier and introduce two important improvements: (i) consideration of an intensive statistical complexity (Phy...

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Autores principales: Larrondo, H.A., González, C.M., Martín, M.T., Plastino, A., Rosso, O.A.
Formato: JOUR
Materias:
Random number generators
Statistical complexity
Computational complexity
Evaluation
Mathematical techniques
Probability density function
Statistical methods
Intensive statistical complexity
Prescription
Random number generation
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03784371_v356_n1_p133_Larrondo
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_03784371_v356_n1_p133_Larrondo
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spelling todo:paper_03784371_v356_n1_p133_Larrondo2023-10-03T15:32:45Z Intensive statistical complexity measure of pseudorandom number generators Larrondo, H.A. González, C.M. Martín, M.T. Plastino, A. Rosso, O.A. Random number generators Statistical complexity Computational complexity Evaluation Mathematical techniques Probability density function Statistical methods Intensive statistical complexity Prescription Random number generators Statistical complexity Random number generation A Statistical Complexity measure has been recently proposed to quantify the performance of chaotic Pseudorandom number generators (PRNG) (Physica A 354 (2005) 281). Here we revisit this quantifier and introduce two important improvements: (i) consideration of an intensive statistical complexity (Physica A 334 (2004) 119), and (ii) following the prescription of Brand and Pompe (Phys. Rev. Lett. 88 (2002) 174102-1) in evaluating the probability distribution associated with the PRNG. The ensuing new measure is applied to a very well-tested PRNG advanced by Marsaglia. © 2005 Elsevier B.V. All rights reserved. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03784371_v356_n1_p133_Larrondo
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Random number generators
Statistical complexity
Computational complexity
Evaluation
Mathematical techniques
Probability density function
Statistical methods
Intensive statistical complexity
Prescription
Random number generators
Statistical complexity
Random number generation
spellingShingle Random number generators
Statistical complexity
Computational complexity
Evaluation
Mathematical techniques
Probability density function
Statistical methods
Intensive statistical complexity
Prescription
Random number generators
Statistical complexity
Random number generation
Larrondo, H.A.
González, C.M.
Martín, M.T.
Plastino, A.
Rosso, O.A.
Intensive statistical complexity measure of pseudorandom number generators
topic_facet Random number generators
Statistical complexity
Computational complexity
Evaluation
Mathematical techniques
Probability density function
Statistical methods
Intensive statistical complexity
Prescription
Random number generators
Statistical complexity
Random number generation
description A Statistical Complexity measure has been recently proposed to quantify the performance of chaotic Pseudorandom number generators (PRNG) (Physica A 354 (2005) 281). Here we revisit this quantifier and introduce two important improvements: (i) consideration of an intensive statistical complexity (Physica A 334 (2004) 119), and (ii) following the prescription of Brand and Pompe (Phys. Rev. Lett. 88 (2002) 174102-1) in evaluating the probability distribution associated with the PRNG. The ensuing new measure is applied to a very well-tested PRNG advanced by Marsaglia. © 2005 Elsevier B.V. All rights reserved.
format JOUR
author Larrondo, H.A.
González, C.M.
Martín, M.T.
Plastino, A.
Rosso, O.A.
author_facet Larrondo, H.A.
González, C.M.
Martín, M.T.
Plastino, A.
Rosso, O.A.
author_sort Larrondo, H.A.
title Intensive statistical complexity measure of pseudorandom number generators
title_short Intensive statistical complexity measure of pseudorandom number generators
title_full Intensive statistical complexity measure of pseudorandom number generators
title_fullStr Intensive statistical complexity measure of pseudorandom number generators
title_full_unstemmed Intensive statistical complexity measure of pseudorandom number generators
title_sort intensive statistical complexity measure of pseudorandom number generators
url http://hdl.handle.net/20.500.12110/paper_03784371_v356_n1_p133_Larrondo
work_keys_str_mv AT larrondoha intensivestatisticalcomplexitymeasureofpseudorandomnumbergenerators
AT gonzalezcm intensivestatisticalcomplexitymeasureofpseudorandomnumbergenerators
AT martinmt intensivestatisticalcomplexitymeasureofpseudorandomnumbergenerators
AT plastinoa intensivestatisticalcomplexitymeasureofpseudorandomnumbergenerators
AT rossooa intensivestatisticalcomplexitymeasureofpseudorandomnumbergenerators
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