Solving SEI model using non-standard finite difference and high order extrapolation with variable step length

A high-level method was obtained to solve the SEI model problem involving Symmetrization measures in numerical calculations through the Implicit Midpoint Rule method (IMR). It is obtained using Non-Standard Finite Difference Schemes (NSFD) with Extrapolation techniques combined. In solving different...

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Main Authors: Noorhelyna Razali, Muhamad Hasif Hakimi Md Isa, Gorgey, Annie, Gulshad, Imran
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:http://journalarticle.ukm.my/21423/1/JKSI_8.pdf
http://journalarticle.ukm.my/21423/
https://www.ukm.my/jkukm/si-5-2-2022/
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Institution: Universiti Kebangsaan Malaysia
Language: English
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spelling my-ukm.journal.214232023-04-05T02:25:32Z http://journalarticle.ukm.my/21423/ Solving SEI model using non-standard finite difference and high order extrapolation with variable step length Noorhelyna Razali, Muhamad Hasif Hakimi Md Isa, Gorgey, Annie Gulshad, Imran A high-level method was obtained to solve the SEI model problem involving Symmetrization measures in numerical calculations through the Implicit Midpoint Rule method (IMR). It is obtained using Non-Standard Finite Difference Schemes (NSFD) with Extrapolation techniques combined. In solving differential equation problems numerically, the Extrapolated SEI model method is able to generate more accurate results than the existing numerical method of SEI model. This study aims to investigate the accuracy and efficiency of computing between Extrapolated One-Step Active Symmetry Implicit Midpoint Rule method (1ASIMR), Extrapolated One-Step Active Symmetry Implicit Midpoint Rule method (2ASIMR), Extrapolated One-Step Passive Symmetry Midpoint Rule method (1PSIMR) and the extrapolated Two-Step Passive Symmetry Midpoint Rule method (2PSIMR). The results show that the 1ASIMR method is the most accurate method. For the determination of the efficiency of 2ASIMR and 2PSIMR methods have high efficiency. At the end of the study, the results from the numerical method obtained show that Extrapolation using Non-Standard Finite Difference has higher accuracy than the existing Implicit Midpoint Rule method. Penerbit Universiti Kebangsaan Malaysia 2022 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/21423/1/JKSI_8.pdf Noorhelyna Razali, and Muhamad Hasif Hakimi Md Isa, and Gorgey, Annie and Gulshad, Imran (2022) Solving SEI model using non-standard finite difference and high order extrapolation with variable step length. Jurnal Kejuruteraan, 34 (SI5(2)). pp. 73-78. ISSN 0128-0198 https://www.ukm.my/jkukm/si-5-2-2022/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description A high-level method was obtained to solve the SEI model problem involving Symmetrization measures in numerical calculations through the Implicit Midpoint Rule method (IMR). It is obtained using Non-Standard Finite Difference Schemes (NSFD) with Extrapolation techniques combined. In solving differential equation problems numerically, the Extrapolated SEI model method is able to generate more accurate results than the existing numerical method of SEI model. This study aims to investigate the accuracy and efficiency of computing between Extrapolated One-Step Active Symmetry Implicit Midpoint Rule method (1ASIMR), Extrapolated One-Step Active Symmetry Implicit Midpoint Rule method (2ASIMR), Extrapolated One-Step Passive Symmetry Midpoint Rule method (1PSIMR) and the extrapolated Two-Step Passive Symmetry Midpoint Rule method (2PSIMR). The results show that the 1ASIMR method is the most accurate method. For the determination of the efficiency of 2ASIMR and 2PSIMR methods have high efficiency. At the end of the study, the results from the numerical method obtained show that Extrapolation using Non-Standard Finite Difference has higher accuracy than the existing Implicit Midpoint Rule method.
format Article
author Noorhelyna Razali,
Muhamad Hasif Hakimi Md Isa,
Gorgey, Annie
Gulshad, Imran
spellingShingle Noorhelyna Razali,
Muhamad Hasif Hakimi Md Isa,
Gorgey, Annie
Gulshad, Imran
Solving SEI model using non-standard finite difference and high order extrapolation with variable step length
author_facet Noorhelyna Razali,
Muhamad Hasif Hakimi Md Isa,
Gorgey, Annie
Gulshad, Imran
author_sort Noorhelyna Razali,
title Solving SEI model using non-standard finite difference and high order extrapolation with variable step length
title_short Solving SEI model using non-standard finite difference and high order extrapolation with variable step length
title_full Solving SEI model using non-standard finite difference and high order extrapolation with variable step length
title_fullStr Solving SEI model using non-standard finite difference and high order extrapolation with variable step length
title_full_unstemmed Solving SEI model using non-standard finite difference and high order extrapolation with variable step length
title_sort solving sei model using non-standard finite difference and high order extrapolation with variable step length
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2022
url http://journalarticle.ukm.my/21423/1/JKSI_8.pdf
http://journalarticle.ukm.my/21423/
https://www.ukm.my/jkukm/si-5-2-2022/
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