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All Journal International Journal of Applied Mathematics and Computing.
Saeful Ihsan
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Computer Science & IT Mathematics

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Stochastic Differential Equations in Population Dynamics: Modeling and Analysis Saeful Ihsan; Intan Khoirun Nisa; Ahmad Jamaludin
International Journal of Applied Mathematics and Computing Vol. 1 No. 1 (2024): January: International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v1i1.5

Abstract

This study explores the application of stochastic differential equations (SDEs) in modeling population dynamics. By introducing randomness into differential equations, we capture the inherent uncertainties in environmental and genetic factors affecting population growth. We derive analytical solutions for specific cases and provide numerical simulations to demonstrate how SDEs enhance predictions in ecological modeling. Our findings suggest that stochastic models provide a more robust framework for understanding population fluctuations in uncertain environments.
Co-Authors Ahmad Jamaludin Intan Khoirun Nisa