A Fractional Model of Abalone Growth using Adomian Decomposition Method

Fuente: arXiv
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Autori principali: Susanto, Marliadi, Wahi, Nadihah, Kilicman, Adem
Natura: Preprint
Pubblicazione: 2024
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author Susanto, Marliadi
Wahi, Nadihah
Kilicman, Adem
author_facet Susanto, Marliadi
Wahi, Nadihah
Kilicman, Adem
contents This study is a modification of the McKendrick equation into a growth model with fractional order to predict the abalone length growth. We have shown that the model is a special case of Taylor's series after it was analysed using Adomian decomposition method and Caputo fractional derivative. By simulating the series with some fractional orders, the results indicate that the greater the fractional order of the model, the series values generated are greater as well. Moreover, the series that is close to the real data is the one with a fractional order of $0.5$. Therefore, the growth model with a fractional order provides more accuracy than a classical integer order.
format Preprint
id arxiv_https___arxiv_org_abs_2412_00035
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Fractional Model of Abalone Growth using Adomian Decomposition Method
Susanto, Marliadi
Wahi, Nadihah
Kilicman, Adem
General Mathematics
This study is a modification of the McKendrick equation into a growth model with fractional order to predict the abalone length growth. We have shown that the model is a special case of Taylor's series after it was analysed using Adomian decomposition method and Caputo fractional derivative. By simulating the series with some fractional orders, the results indicate that the greater the fractional order of the model, the series values generated are greater as well. Moreover, the series that is close to the real data is the one with a fractional order of $0.5$. Therefore, the growth model with a fractional order provides more accuracy than a classical integer order.
title A Fractional Model of Abalone Growth using Adomian Decomposition Method
topic General Mathematics
url https://arxiv.org/abs/2412.00035