Approximate analytical solutions of nonlinear korteweg-de vries equations using multistep modified reduced differential transform method

This paper aims to propose and investigate the application of Multistep Modified Reduced Differential Transform Method (MMRDTM) for solving the nonlinear Korteweg-de Vries (KdV) equation. The proposed technique has the advantage of producing an analytical approximation in a fast converging sequence...

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Main Authors: Che Haziqah Che Hussin, Ahmad Izani Md Ismail, Adem Kilicman, Amirah Azmi
Format: Article
Language:English
English
Published: Horizon Research Publishing 2020
Online Access:https://eprints.ums.edu.my/id/eprint/27440/1/Approximate%20Analytical%20Solutions%20of%20Nonlinear%20abstract.pdf
https://eprints.ums.edu.my/id/eprint/27440/2/Approximate%20analytical%20solutions%20of%20nonlinear%20korteweg-de%20vries%20equations%20using%20multistep%20modified%20reduced%20differential%20transform%20method%20Fulltext.pdf
https://eprints.ums.edu.my/id/eprint/27440/
https://doi.org/10.13189/ms.2020.081302
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Institution: Universiti Malaysia Sabah
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spelling my.ums.eprints.274402021-06-25T11:51:21Z https://eprints.ums.edu.my/id/eprint/27440/ Approximate analytical solutions of nonlinear korteweg-de vries equations using multistep modified reduced differential transform method Che Haziqah Che Hussin Ahmad Izani Md Ismail Adem Kilicman Amirah Azmi This paper aims to propose and investigate the application of Multistep Modified Reduced Differential Transform Method (MMRDTM) for solving the nonlinear Korteweg-de Vries (KdV) equation. The proposed technique has the advantage of producing an analytical approximation in a fast converging sequence with a reduced number of calculated terms. MMRDTM is presented with some modification of the reduced differential transformation method (RDTM) which is the nonlinear term is replaced by related Adomian polynomials and then adopting a multistep approach. Consequently, the obtained approximation results do not only involve smaller number of calculated terms for the nonlinear KdV equation, but also converge rapidly in a broad time frame. We provided three examples to illustrates the advantages of the proposed method in obtaining the approximation solutions of the KdV equation. To depict the solution and show the validity and precision of the MMRDTM, graphical inputs are included. Horizon Research Publishing 2020 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/27440/1/Approximate%20Analytical%20Solutions%20of%20Nonlinear%20abstract.pdf text en https://eprints.ums.edu.my/id/eprint/27440/2/Approximate%20analytical%20solutions%20of%20nonlinear%20korteweg-de%20vries%20equations%20using%20multistep%20modified%20reduced%20differential%20transform%20method%20Fulltext.pdf Che Haziqah Che Hussin and Ahmad Izani Md Ismail and Adem Kilicman and Amirah Azmi (2020) Approximate analytical solutions of nonlinear korteweg-de vries equations using multistep modified reduced differential transform method. Mathematics and Statistics, 18 (2A). pp. 9-16. ISSN 2332-2071 https://doi.org/10.13189/ms.2020.081302
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
description This paper aims to propose and investigate the application of Multistep Modified Reduced Differential Transform Method (MMRDTM) for solving the nonlinear Korteweg-de Vries (KdV) equation. The proposed technique has the advantage of producing an analytical approximation in a fast converging sequence with a reduced number of calculated terms. MMRDTM is presented with some modification of the reduced differential transformation method (RDTM) which is the nonlinear term is replaced by related Adomian polynomials and then adopting a multistep approach. Consequently, the obtained approximation results do not only involve smaller number of calculated terms for the nonlinear KdV equation, but also converge rapidly in a broad time frame. We provided three examples to illustrates the advantages of the proposed method in obtaining the approximation solutions of the KdV equation. To depict the solution and show the validity and precision of the MMRDTM, graphical inputs are included.
format Article
author Che Haziqah Che Hussin
Ahmad Izani Md Ismail
Adem Kilicman
Amirah Azmi
spellingShingle Che Haziqah Che Hussin
Ahmad Izani Md Ismail
Adem Kilicman
Amirah Azmi
Approximate analytical solutions of nonlinear korteweg-de vries equations using multistep modified reduced differential transform method
author_facet Che Haziqah Che Hussin
Ahmad Izani Md Ismail
Adem Kilicman
Amirah Azmi
author_sort Che Haziqah Che Hussin
title Approximate analytical solutions of nonlinear korteweg-de vries equations using multistep modified reduced differential transform method
title_short Approximate analytical solutions of nonlinear korteweg-de vries equations using multistep modified reduced differential transform method
title_full Approximate analytical solutions of nonlinear korteweg-de vries equations using multistep modified reduced differential transform method
title_fullStr Approximate analytical solutions of nonlinear korteweg-de vries equations using multistep modified reduced differential transform method
title_full_unstemmed Approximate analytical solutions of nonlinear korteweg-de vries equations using multistep modified reduced differential transform method
title_sort approximate analytical solutions of nonlinear korteweg-de vries equations using multistep modified reduced differential transform method
publisher Horizon Research Publishing
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/27440/1/Approximate%20Analytical%20Solutions%20of%20Nonlinear%20abstract.pdf
https://eprints.ums.edu.my/id/eprint/27440/2/Approximate%20analytical%20solutions%20of%20nonlinear%20korteweg-de%20vries%20equations%20using%20multistep%20modified%20reduced%20differential%20transform%20method%20Fulltext.pdf
https://eprints.ums.edu.my/id/eprint/27440/
https://doi.org/10.13189/ms.2020.081302
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