The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Un nouvel algorithme parallèle pour l'intégration numérique d'équations différentielles ordinaires est proposé. L'algorithme est basé sur les formules prédictives et correctrices et leur utilisation itérative. Une équation qui décrit la propagation des erreurs de l'algorithme proposé est dérivée et discutée. Les propriétés de fiabilité et de convergence des solutions sont étudiées en réalisant des expériences numériques sur un système informatique conventionnel pour quelques exemples spécifiques. Il s'avère que l'algorithme proposé est effectivement pratique pour un système concurrent tel qu'un multiprocesseur et un processeur vectoriel, et qu'il offre une vitesse de calcul bien supérieure à celle des algorithmes existants.
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Susumu HORIGUCHI, Yoshiyuki KAWAZOE, Hisashi NARA, "An Algorithm of Parallel Processing for Integration of Ordinary Differential Equations" in IEICE TRANSACTIONS on transactions,
vol. E70-E, no. 1, pp. 49-55, January 1987, doi: .
Abstract: A new parallel algorithm for the numerical integration of ordinary differential equations is proposed. The algorithm is based on the predictor and corrector formulae and their iterative use. An equation which describes the error propagation of the proposed algorithm is derived and discussed. The reliability and convergence properties of the solutions are studied by performing the numerical experiments on a conventional computer system for some specific examples. It is found that the proposed algorithm is indeed a practical one for a concurrentt system such as a multiprocessor and a vector processor, and offers much greater computing speed than the existing algorithms.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e70-e_1_49/_p
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@ARTICLE{e70-e_1_49,
author={Susumu HORIGUCHI, Yoshiyuki KAWAZOE, Hisashi NARA, },
journal={IEICE TRANSACTIONS on transactions},
title={An Algorithm of Parallel Processing for Integration of Ordinary Differential Equations},
year={1987},
volume={E70-E},
number={1},
pages={49-55},
abstract={A new parallel algorithm for the numerical integration of ordinary differential equations is proposed. The algorithm is based on the predictor and corrector formulae and their iterative use. An equation which describes the error propagation of the proposed algorithm is derived and discussed. The reliability and convergence properties of the solutions are studied by performing the numerical experiments on a conventional computer system for some specific examples. It is found that the proposed algorithm is indeed a practical one for a concurrentt system such as a multiprocessor and a vector processor, and offers much greater computing speed than the existing algorithms.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - An Algorithm of Parallel Processing for Integration of Ordinary Differential Equations
T2 - IEICE TRANSACTIONS on transactions
SP - 49
EP - 55
AU - Susumu HORIGUCHI
AU - Yoshiyuki KAWAZOE
AU - Hisashi NARA
PY - 1987
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E70-E
IS - 1
JA - IEICE TRANSACTIONS on transactions
Y1 - January 1987
AB - A new parallel algorithm for the numerical integration of ordinary differential equations is proposed. The algorithm is based on the predictor and corrector formulae and their iterative use. An equation which describes the error propagation of the proposed algorithm is derived and discussed. The reliability and convergence properties of the solutions are studied by performing the numerical experiments on a conventional computer system for some specific examples. It is found that the proposed algorithm is indeed a practical one for a concurrentt system such as a multiprocessor and a vector processor, and offers much greater computing speed than the existing algorithms.
ER -