International Journal of Systems Science and Applied Mathematics

Volume 7, Issue 3, September 2022

  • Detection of Appropriate Model for Nigeria Population Growth Using Root Mean Square Error (RMSE)

    Oladimeji Olanrewaju Adedipupo, Akomolafe Abayomi Ayodele, Lasisi Taiwo Abideen, Ojo Thompson Olabode, Adesina Oluwaseun Ayobami, Egbedokun Gabriel Olumide

    Issue: Volume 7, Issue 3, September 2022
    Pages: 46-51
    Received: 7 June 2022
    Accepted: 29 June 2022
    Published: 17 August 2022
    DOI: 10.11648/j.ijssam.20220703.11
    Abstract: Nigeria, a developing nation is experiencing the overwhelming effects of her exponentially ever-increasing population. This paper is aimed at projecting the future population of Nigeria using the exponential and geometric growth models from 1991 and 2006 population censuses of Nigeria. The resultant effects are clearly evident for all stakeholders ... Show More
  • Stability Analysis and Implementation of a New Fully Explicit Fourth-Stage Fourth-Order Runge-Kutta Method

    Esekhaigbe Aigbedion Christopher, Okodugha Edward

    Issue: Volume 7, Issue 3, September 2022
    Pages: 52-59
    Received: 26 April 2022
    Accepted: 12 May 2022
    Published: 31 August 2022
    DOI: 10.11648/j.ijssam.20220703.12
    Abstract: The essence of this paper is to analyze the stability and implementation of a newly derived explicit fourth-stage fourth-order Runge-Kutta method. Efforts will be made to carry out a comparative analysis with an existing classical fourth stage fourth order explicit Runge Kutta method. The implementation on initial-value problems revealed that the m... Show More
  • Euler’s Method for Solving Logistic Growth Model Using MATLAB

    Desta Sodano Sheiso, Mekashew Ali Mohye

    Issue: Volume 7, Issue 3, September 2022
    Pages: 60-65
    Received: 2 June 2022
    Accepted: 29 August 2022
    Published: 16 September 2022
    DOI: 10.11648/j.ijssam.20220703.13
    Abstract: This paper introduces Euler’s explicit method for solving the numerical solution of the population growth model, logistic growth model. The Euler method is a first-order method, which means that the local error (error per step) is proportional to the square of the step size, and the global error (error at a given time) is proportional to the step s... Show More