A comparison between adomian decomposition method and differential transformation method in solving SIR epidemic model with constant vaccination / Farahanie Fauzi ... [et al.]

The trend of susceptible, infected and recovered of an epidemic can be mathematically analyzed if the solution of its SIR model is obtained. Various analytical and numerical methods were used by previous researchers in order to solve the model. Adomian Decomposition is one of the methods. However, s...

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Main Authors: Fauzi, Farahanie, Ngadiman, Muhammad Hanif, Norhisham, Muhammad Nur Zikry, Wan Ramli, Wan Khairiyah Hulaini, Muhammad, Rahaidah
Format: Article
Language:English
Published: Unit Penerbitan UiTM Kelantan 2021
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Online Access:https://ir.uitm.edu.my/id/eprint/54425/1/54425.pdf
https://ir.uitm.edu.my/id/eprint/54425/
https://jmcs.com.my/
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spelling my.uitm.ir.544252022-06-03T02:06:03Z https://ir.uitm.edu.my/id/eprint/54425/ A comparison between adomian decomposition method and differential transformation method in solving SIR epidemic model with constant vaccination / Farahanie Fauzi ... [et al.] Fauzi, Farahanie Ngadiman, Muhammad Hanif Norhisham, Muhammad Nur Zikry Wan Ramli, Wan Khairiyah Hulaini Muhammad, Rahaidah Statistical data Statistical methods Medical technology The trend of susceptible, infected and recovered of an epidemic can be mathematically analyzed if the solution of its SIR model is obtained. Various analytical and numerical methods were used by previous researchers in order to solve the model. Adomian Decomposition is one of the methods. However, several studies discovered that ADM is tedious and time consuming in solving certain kinds of problems. In this project, another method was used and compared to ADM in solving SIR model with the coverage of vaccination. The method was Differential Transformation Method (DTM). The main objective of this project is to analyse the difference between these two methods in the process of getting the final solution. It was identified that to get only one term of the polynomial solution model of SIR, ADM requires many iterations unlike DTM which only requires one iteration for each term of the polynomial solution model. However, in terms of overall polynomial model, ADM gives a higher degree of polynomial model compared to DTM for the same number of iteration. Unit Penerbitan UiTM Kelantan 2021-12 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/54425/1/54425.pdf A comparison between adomian decomposition method and differential transformation method in solving SIR epidemic model with constant vaccination / Farahanie Fauzi ... [et al.]. (2021) Journal of Mathematics and Computing Science (JMCS), 7 (2). pp. 15-22. ISSN 0128-0767 https://jmcs.com.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Statistical data
Statistical methods
Medical technology
spellingShingle Statistical data
Statistical methods
Medical technology
Fauzi, Farahanie
Ngadiman, Muhammad Hanif
Norhisham, Muhammad Nur Zikry
Wan Ramli, Wan Khairiyah Hulaini
Muhammad, Rahaidah
A comparison between adomian decomposition method and differential transformation method in solving SIR epidemic model with constant vaccination / Farahanie Fauzi ... [et al.]
description The trend of susceptible, infected and recovered of an epidemic can be mathematically analyzed if the solution of its SIR model is obtained. Various analytical and numerical methods were used by previous researchers in order to solve the model. Adomian Decomposition is one of the methods. However, several studies discovered that ADM is tedious and time consuming in solving certain kinds of problems. In this project, another method was used and compared to ADM in solving SIR model with the coverage of vaccination. The method was Differential Transformation Method (DTM). The main objective of this project is to analyse the difference between these two methods in the process of getting the final solution. It was identified that to get only one term of the polynomial solution model of SIR, ADM requires many iterations unlike DTM which only requires one iteration for each term of the polynomial solution model. However, in terms of overall polynomial model, ADM gives a higher degree of polynomial model compared to DTM for the same number of iteration.
format Article
author Fauzi, Farahanie
Ngadiman, Muhammad Hanif
Norhisham, Muhammad Nur Zikry
Wan Ramli, Wan Khairiyah Hulaini
Muhammad, Rahaidah
author_facet Fauzi, Farahanie
Ngadiman, Muhammad Hanif
Norhisham, Muhammad Nur Zikry
Wan Ramli, Wan Khairiyah Hulaini
Muhammad, Rahaidah
author_sort Fauzi, Farahanie
title A comparison between adomian decomposition method and differential transformation method in solving SIR epidemic model with constant vaccination / Farahanie Fauzi ... [et al.]
title_short A comparison between adomian decomposition method and differential transformation method in solving SIR epidemic model with constant vaccination / Farahanie Fauzi ... [et al.]
title_full A comparison between adomian decomposition method and differential transformation method in solving SIR epidemic model with constant vaccination / Farahanie Fauzi ... [et al.]
title_fullStr A comparison between adomian decomposition method and differential transformation method in solving SIR epidemic model with constant vaccination / Farahanie Fauzi ... [et al.]
title_full_unstemmed A comparison between adomian decomposition method and differential transformation method in solving SIR epidemic model with constant vaccination / Farahanie Fauzi ... [et al.]
title_sort comparison between adomian decomposition method and differential transformation method in solving sir epidemic model with constant vaccination / farahanie fauzi ... [et al.]
publisher Unit Penerbitan UiTM Kelantan
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/54425/1/54425.pdf
https://ir.uitm.edu.my/id/eprint/54425/
https://jmcs.com.my/
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score 13.211869