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Analytical Solutions for the Mathematical Model Describing the Formation of Liver Zones via Adomian's Method

The formation of liver zones is modeled by a system of two integropartial differential equations. In this research, we introduce the mathematical formulation of these integro-partial differential equations obtained by Bass et al. in 1987. For better understanding of this mathematical formulation, we...

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Autor principal: Ebaid, Abdelhalim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3771484/
https://www.ncbi.nlm.nih.gov/pubmed/24069066
http://dx.doi.org/10.1155/2013/547954
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author Ebaid, Abdelhalim
author_facet Ebaid, Abdelhalim
author_sort Ebaid, Abdelhalim
collection PubMed
description The formation of liver zones is modeled by a system of two integropartial differential equations. In this research, we introduce the mathematical formulation of these integro-partial differential equations obtained by Bass et al. in 1987. For better understanding of this mathematical formulation, we present a medical introduction for the liver in order to make the formulation as clear as possible. In applied mathematics, the Adomian decomposition method is an effective procedure to obtain analytic and approximate solutions for different types of operator equations. This Adomian decomposition method is used in this work to solve the proposed model analytically. The stationary solutions (as time tends to infinity) are also obtained through it, which are in full agreement with those obtained by Bass et al. in 1987.
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spelling pubmed-37714842013-09-25 Analytical Solutions for the Mathematical Model Describing the Formation of Liver Zones via Adomian's Method Ebaid, Abdelhalim Comput Math Methods Med Research Article The formation of liver zones is modeled by a system of two integropartial differential equations. In this research, we introduce the mathematical formulation of these integro-partial differential equations obtained by Bass et al. in 1987. For better understanding of this mathematical formulation, we present a medical introduction for the liver in order to make the formulation as clear as possible. In applied mathematics, the Adomian decomposition method is an effective procedure to obtain analytic and approximate solutions for different types of operator equations. This Adomian decomposition method is used in this work to solve the proposed model analytically. The stationary solutions (as time tends to infinity) are also obtained through it, which are in full agreement with those obtained by Bass et al. in 1987. Hindawi Publishing Corporation 2013 2013-08-28 /pmc/articles/PMC3771484/ /pubmed/24069066 http://dx.doi.org/10.1155/2013/547954 Text en Copyright © 2013 Abdelhalim Ebaid. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ebaid, Abdelhalim
Analytical Solutions for the Mathematical Model Describing the Formation of Liver Zones via Adomian's Method
title Analytical Solutions for the Mathematical Model Describing the Formation of Liver Zones via Adomian's Method
title_full Analytical Solutions for the Mathematical Model Describing the Formation of Liver Zones via Adomian's Method
title_fullStr Analytical Solutions for the Mathematical Model Describing the Formation of Liver Zones via Adomian's Method
title_full_unstemmed Analytical Solutions for the Mathematical Model Describing the Formation of Liver Zones via Adomian's Method
title_short Analytical Solutions for the Mathematical Model Describing the Formation of Liver Zones via Adomian's Method
title_sort analytical solutions for the mathematical model describing the formation of liver zones via adomian's method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3771484/
https://www.ncbi.nlm.nih.gov/pubmed/24069066
http://dx.doi.org/10.1155/2013/547954
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