📅 17 March 2024
DOI: 10.62951/ijamc.v1i1.5
Stochastic Differential Equations in Population Dynamics: Modeling and Analysis
International Journal of Applied Mathematics and Computing
Asosiasi Riset Ilmu Matematika dan Sains Indonesia (ARIMSI)
📄 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.
🔖 Keywords
#Stochastic differential equations; population dynamics; ecological modeling
#uncertainty
#numerical simulation.
ℹ️ Informasi Publikasi
Tanggal Publikasi
17 March 2024
Volume / Nomor / Tahun
Volume 1, Nomor 1, Tahun 2024
📝 HOW TO CITE
Saeful Ihsan; Intan Khoirun Nisa; Ahmad Jamaludin, "Stochastic Differential Equations in Population Dynamics: Modeling and Analysis," International Journal of Applied Mathematics and Computing, vol. 1, no. 1, Mar. 2024.
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