Jurnal Ilmu Dasar
Vol 14 No 2 (2013)

Solution Estimation of Logistic Growth Model with Ensemble Kalman Filter Method

Vianda Nuning Fitriani (Jurusan Matematika, FMIPA, Universitas Jember)
Kosala Dwidja Purnomo (Jurusan Matematika, FMIPA, Universitas Jember)

Article Info

Publish Date
17 Jul 2013

Abstract

Ensemble Kalman Filter (EnKF) can be applied for linear or nonlinear models. This paper is aimed to estimate the logistic growth of population models using EnKF. The estimation will be compared with the analytical solution. We assume that we can find the analytical solution of the models. The models is in the specific form i.e comparison between the population growth rate and the amount of population is in the parabolic form. The good estimation will be attained by choosing 100 as size of ensembles in EnKF. The result of estimation really so closed to the analytical solution. Keywords : Analytical solution, EnKF, ensemble

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Journal Info
Jurnal Ilmu Dasar
Website

Abbrev

JID

Publisher

Universitas Jember

Subject

Control & Systems Engineering Mathematics

Description

Jurnal ILMU DASAR (JID) is a national peer-reviewed and open access journal that publishes research papers encompasses all aspects of natural sciences including Mathematics, Physics, Chemistry and Biology. JID publishes 2 issues in 1 volume per year. First published, volume 1 issue 1, in January ...