Multistep reduced differential transform method in solving nonlinear schrodinger equations

This paper obtains semi-analytical solutions for the nonlinear Schrodinger equations (NLSEs) using the multistep reduced differential transform method (MsRDTM). The implemented method yields an analytical approximate solution over a longer time frame, in which the method applied is treated as an alg...

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Main Authors: Abdul Rahman Farhan Sabdin, Che Haziqah Che Hussin, Jumat Sulaiman, Arif Mandangan
Format: Article
Language:English
English
Published: Penerbit Akademia Baru 2024
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Online Access:https://eprints.ums.edu.my/id/eprint/41012/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41012/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41012/
https://doi.org/10.37934/araset.44.2.112123
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spelling my.ums.eprints.410122024-09-09T03:23:55Z https://eprints.ums.edu.my/id/eprint/41012/ Multistep reduced differential transform method in solving nonlinear schrodinger equations Abdul Rahman Farhan Sabdin Che Haziqah Che Hussin Jumat Sulaiman Arif Mandangan QA1-939 Mathematics QA299.6-433 Analysis QC1-75 General This paper obtains semi-analytical solutions for the nonlinear Schrodinger equations (NLSEs) using the multistep reduced differential transform method (MsRDTM). The implemented method yields an analytical approximate solution over a longer time frame, in which the method applied is treated as an algorithm in a sequence of small sub-division of intervals of identical length compared to the traditional reduced differential transform method (RDTM). Excluding the need of perturbation, linearization, or discretization, this method offers the benefit and reliability of the multistep algorithm. The outcomes show that the MsRDTM generated highly accurate solutions of NLSEs than the RDTM. In addition, the results show that the suggested method is straightforward to use, saves a significant amount of computing work when solving NLSEs, and has potential for broad application in other complex partial differential equations (PDEs) in the fields of engineering and science. The accuracy of the method is shown through the tables and graphical illustrations provided. Penerbit Akademia Baru 2024 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/41012/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/41012/2/FULL%20TEXT.pdf Abdul Rahman Farhan Sabdin and Che Haziqah Che Hussin and Jumat Sulaiman and Arif Mandangan (2024) Multistep reduced differential transform method in solving nonlinear schrodinger equations. Journal of Advanced Research in Applied Sciences and Engineering Technology, 44 (2). pp. 1-12. ISSN 2462-1943 https://doi.org/10.37934/araset.44.2.112123
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QA1-939 Mathematics
QA299.6-433 Analysis
QC1-75 General
spellingShingle QA1-939 Mathematics
QA299.6-433 Analysis
QC1-75 General
Abdul Rahman Farhan Sabdin
Che Haziqah Che Hussin
Jumat Sulaiman
Arif Mandangan
Multistep reduced differential transform method in solving nonlinear schrodinger equations
description This paper obtains semi-analytical solutions for the nonlinear Schrodinger equations (NLSEs) using the multistep reduced differential transform method (MsRDTM). The implemented method yields an analytical approximate solution over a longer time frame, in which the method applied is treated as an algorithm in a sequence of small sub-division of intervals of identical length compared to the traditional reduced differential transform method (RDTM). Excluding the need of perturbation, linearization, or discretization, this method offers the benefit and reliability of the multistep algorithm. The outcomes show that the MsRDTM generated highly accurate solutions of NLSEs than the RDTM. In addition, the results show that the suggested method is straightforward to use, saves a significant amount of computing work when solving NLSEs, and has potential for broad application in other complex partial differential equations (PDEs) in the fields of engineering and science. The accuracy of the method is shown through the tables and graphical illustrations provided.
format Article
author Abdul Rahman Farhan Sabdin
Che Haziqah Che Hussin
Jumat Sulaiman
Arif Mandangan
author_facet Abdul Rahman Farhan Sabdin
Che Haziqah Che Hussin
Jumat Sulaiman
Arif Mandangan
author_sort Abdul Rahman Farhan Sabdin
title Multistep reduced differential transform method in solving nonlinear schrodinger equations
title_short Multistep reduced differential transform method in solving nonlinear schrodinger equations
title_full Multistep reduced differential transform method in solving nonlinear schrodinger equations
title_fullStr Multistep reduced differential transform method in solving nonlinear schrodinger equations
title_full_unstemmed Multistep reduced differential transform method in solving nonlinear schrodinger equations
title_sort multistep reduced differential transform method in solving nonlinear schrodinger equations
publisher Penerbit Akademia Baru
publishDate 2024
url https://eprints.ums.edu.my/id/eprint/41012/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41012/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41012/
https://doi.org/10.37934/araset.44.2.112123
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score 13.209306