Numerical approximations for population growth models

Kamel Al-Khaled

doi:10.1016/j.amc.2003.12.005

Numerical approximations for population growth models

Kamel Al-Khaled^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

48 Citations (Scopus)

Abstract

This paper aims to introduce a comparison of Adomian decomposition method and Sinc-Galerkin method for the solution of some mathematical population growth models. From the computational viewpoint, the comparison shows that the Adomian decomposition method is efficient and easy to use.

Original language	English
Pages (from-to)	865-873
Number of pages	9
Journal	Applied Mathematics and Computation
Volume	160
Issue number	3
DOIs	https://doi.org/10.1016/j.amc.2003.12.005
Publication status	Published - Jan 27 2005
Externally published	Yes

Keywords

Adomian decomposition method
Collocation method
Population dynamics
Sinc function
Volterra integral equation

ASJC Scopus subject areas

Computational Mathematics
Applied Mathematics

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10.1016/j.amc.2003.12.005

Cite this

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title = "Numerical approximations for population growth models",

abstract = "This paper aims to introduce a comparison of Adomian decomposition method and Sinc-Galerkin method for the solution of some mathematical population growth models. From the computational viewpoint, the comparison shows that the Adomian decomposition method is efficient and easy to use.",

keywords = "Adomian decomposition method, Collocation method, Population dynamics, Sinc function, Volterra integral equation",

author = "Kamel Al-Khaled",

year = "2005",

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AU - Al-Khaled, Kamel

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N2 - This paper aims to introduce a comparison of Adomian decomposition method and Sinc-Galerkin method for the solution of some mathematical population growth models. From the computational viewpoint, the comparison shows that the Adomian decomposition method is efficient and easy to use.

AB - This paper aims to introduce a comparison of Adomian decomposition method and Sinc-Galerkin method for the solution of some mathematical population growth models. From the computational viewpoint, the comparison shows that the Adomian decomposition method is efficient and easy to use.

KW - Adomian decomposition method

KW - Collocation method

KW - Population dynamics

KW - Sinc function

KW - Volterra integral equation

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EP - 873

JO - Applied Mathematics and Computation

JF - Applied Mathematics and Computation

IS - 3

ER -

Numerical approximations for population growth models

Abstract

Keywords

ASJC Scopus subject areas

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