Open AccessCOMPARISON OF NUMERICAL METHODS IN PREDICTING THE GROWTH OF NORMAL AGRICULTURAL ASSETS
Author(s) -
Godspower C. Abanum
Publication year - 2020
Publication title -
journal of mathematical sciences and computational mathematics
Language(s) - English
Resource type - Journals
eISSN - 2688-8300
pISSN - 2644-3368
DOI - 10.15864/jmscm.1408
Subject(s) - biodiversity , numerical analysis , agriculture , computer simulation , computation , computer science , variable (mathematics) , mathematics , econometrics , statistics , algorithm , ecology , biology , mathematical analysis
In this paper, I considered the comparison of numerical methods in predicting the biodiversity gain due to the variation of α 1 and α 2 together on biodiversity scenario. However, when the model parameter values α 1 and α 2 are increase, the normal agricultural variable also changes. By comparing the patterns of growth in these two interacting normal agricultural data, we have finite instance of biodiversity due to the application of four numerical methods such as ODE45, ODE23, ODE23tb and ODE15s. We have found the numerical prediction upon using these four numerical methods which are similar and robust, hence we have considered ODE45 numerical simulation to be computationally more efficient than the other three methods. The novel result we have obtained in this study have not been seen elsewhere.