lntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulations

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A faster algorithm, the selective dynamics releasing frame (SORF), to computer-simulate the stochastic aggregation of diffusing particles is introduced. The SORF is presented making reference to the OLA model of Witen & Sander, however it can be applied to any OLA-Iike model which simulates...

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Detalles Bibliográficos
Autor: Montenegro J., Javier
Formato: artículo
Fecha de Publicación:2002
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/8792
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/8792
Nivel de acceso:acceso abierto
Materia:OLA
Simulation
Stochastic
Aggregation
Launching frame
SORF
DLA
Simulación
Estocástica
Agregación
Marco de lanzamiento
SDRF.
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spelling lntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulationslntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulationsMontenegro J., JavierOLASimulationStochasticAggregationLaunching frameSORFDLASimulaciónEstocásticaAgregaciónMarco de lanzamientoSDRF.A faster algorithm, the selective dynamics releasing frame (SORF), to computer-simulate the stochastic aggregation of diffusing particles is introduced. The SORF is presented making reference to the OLA model of Witen & Sander, however it can be applied to any OLA-Iike model which simulates cluster growth by diffusion. Traditional OLA-like models use the longest radius of the growing aggregate to control the radius of a Circular Launching Frame from where the particles are released to diffusion. The SORF uses the different radii of the regions of the growing cluster to fix a particular distance from where to release the particles to diffusion in every region. In bi-dimensional OLA simulations, a reduction in 30% of computer time was observed when the SORF was used. The algorithm here introduced is for a bi­ dimensional simulation, however its application to higher dimensions is straightforward. © 2002 CSI. Al! rights reservedSe presenta un algoritmo más rápido, el de marco de lanzamiento de dinámica selectiva (SORF), para simulaciones en computadora de la agregación estocástica de partículas que difunden. El SORF se presenta haciendo referencia al modelo de OLA de Witten & Sander, sin embargo, el mismo puede ser aplicado a cualquier modelo tipo OLA que simule el crecimiento de racimos debido a la agregación de partículas quedifunden. Los modelos tradicionales tipo DLA usan el radio mas largo del agregado que esta creciendo, para controlar el radio del Círculo de Lanzamiento, desde el cual se liberan las partículas que se difunden. El SDRF usa las diferentes regiones en los radios del agregado en crecimiento, para fijar distancias particulares desde las cuales se liberan -en cada región- las partículas que se difunden. Cuando se ha usado el SDRF en simulaciones DLA bi-dimensionales se ha observado una reducción en 30% del tiempo de maquina, con respecto al método tradicional de un solo radio. El algoritmo se presenta para el caso bi-dimensional, sin embargo su adaptación a casos de mayores dimensiones es inmediato. © 2002 CSI. Todos los derechos reservadosUniversidad Nacional Mayor de San Marcos2002-12-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/879210.15381/rif.v5i01-02.8792Revista de Investigación de Física; Vol. 5 No. 01-02 (2002); 32-35Revista de Investigación de Física; Vol. 5 Núm. 01-02 (2002); 32-351728-29771605-7724reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/8792/7633Derechos de autor 2002 Javier Montenegro J.https://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/87922020-09-02T17:14:56Z
dc.title.none.fl_str_mv lntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulations
lntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulations
title lntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulations
spellingShingle lntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulations
Montenegro J., Javier
OLA
Simulation
Stochastic
Aggregation
Launching frame
SORF
DLA
Simulación
Estocástica
Agregación
Marco de lanzamiento
SDRF.
title_short lntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulations
title_full lntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulations
title_fullStr lntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulations
title_full_unstemmed lntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulations
title_sort lntroducing a selective dynamics releasing frame algorithm to speed-up stochastic aggregation computer simulations
dc.creator.none.fl_str_mv Montenegro J., Javier
author Montenegro J., Javier
author_facet Montenegro J., Javier
author_role author
dc.subject.none.fl_str_mv OLA
Simulation
Stochastic
Aggregation
Launching frame
SORF
DLA
Simulación
Estocástica
Agregación
Marco de lanzamiento
SDRF.
topic OLA
Simulation
Stochastic
Aggregation
Launching frame
SORF
DLA
Simulación
Estocástica
Agregación
Marco de lanzamiento
SDRF.
description A faster algorithm, the selective dynamics releasing frame (SORF), to computer-simulate the stochastic aggregation of diffusing particles is introduced. The SORF is presented making reference to the OLA model of Witen & Sander, however it can be applied to any OLA-Iike model which simulates cluster growth by diffusion. Traditional OLA-like models use the longest radius of the growing aggregate to control the radius of a Circular Launching Frame from where the particles are released to diffusion. The SORF uses the different radii of the regions of the growing cluster to fix a particular distance from where to release the particles to diffusion in every region. In bi-dimensional OLA simulations, a reduction in 30% of computer time was observed when the SORF was used. The algorithm here introduced is for a bi­ dimensional simulation, however its application to higher dimensions is straightforward. © 2002 CSI. Al! rights reserved
publishDate 2002
dc.date.none.fl_str_mv 2002-12-31
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/8792
10.15381/rif.v5i01-02.8792
url https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/8792
identifier_str_mv 10.15381/rif.v5i01-02.8792
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/8792/7633
dc.rights.none.fl_str_mv Derechos de autor 2002 Javier Montenegro J.
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2002 Javier Montenegro J.
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos
publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos
dc.source.none.fl_str_mv Revista de Investigación de Física; Vol. 5 No. 01-02 (2002); 32-35
Revista de Investigación de Física; Vol. 5 Núm. 01-02 (2002); 32-35
1728-2977
1605-7724
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
collection Revistas - Universidad Nacional Mayor de San Marcos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 13.87115
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