International Journal of Applied Mathematics and Theoretical Physics

Special Issue

Computational Mathematics

  • Submission Deadline: Dec. 25, 2020
  • Status: Submission Closed
  • Lead Guest Editor: Sunday Fadugba
About This Special Issue
Numerical analysis is a subject that is concerned with how to solve real life problems numerically. There are many problems that cannot be solved analytically; therefore there is a need for numerical methods. This issue focuses on all branches of Computational Mathematics such as Numerical Linear Algebra, Computational Optimization, Optimal Control, Computational Geometry, Computational Finance, Numerical Solution of Partial Differential Equations, Mathematical Physics and Inverse Problems, etc.
Aims and Scope:
  1. Development of new schemes for the solution of differential equations
  2. Optimization Theory
  3. Data science in finance
  4. Numerical methods for options valuation
  5. Mathematical analysis of epidemiology
  6. Applications of Mathematics in the real world
  7. Solutions of fractional differential equations
  8. Mathematical modeling
  9. Stochastic analysis and applications
  10. Mathematical physics
Lead Guest Editor
  • Sunday Fadugba

    Department of Mathematics, Ekiti State University, Ado Ekiti, Nigeria

Guest Editors
  • Luthais McCash

    School of Mathematics and Actuarial Science, University of Leicester, Leicester, United Kingdom

  • Rui Xu

    Department of Astrophysical Science, Princeton University, Princeton, United States

  • Kleython Jose Coriolano Cavalcanti De Lacerda

    Departament of Physics, University of Sao Paulo, Ribeirao Preto, Brazil

  • Nageeb Haroun

    Department of Mathematics, Statistic & Computer Science, Pietermaritzburg, South Africa

  • Jenifer Steffi J

    Department of Mathematics, SMS College of Arts and Science, Coimbatore, India

  • Kayode Adebayo

    Department of Mathematics, Ekiti State University, Ado Ekiti, Nigeria

  • Sankhanil Dey

    Institute of Radio Physics and Electronics, University of Calcutta, Kolkata, India

  • Neha Gupta

    Department of Mathematics, Maulana Azad National Institute of Technology, Bhopal, India

  • Aparna Vyas

    Department of Mathematics, Manav Rachna University, Faridabad, India

  • Sunday Edeki

    Department of Mathematics, Covenant University, Canaanland, Nigeria

  • Pankaj Thakur

    Department of Mathematics, University Baddi, Solan, India

  • Temitayo Okunlola

    Department of Mathematical and Physical Sciences, Afe Babalola University, Ado Ekiti, Nigeria

  • Bosede Ogunrinde

    Department of Mathematics, Ekiti State University, Ado Ekiti, Nigeria

  • Gilbert Rani

    Department of Mathematics, Arul Anandar College(Autonomous), Karumathur, Madurai, India

  • Mamatha T M

    Assistant Professor, Department of Mathematics, Amrita School of Engineering, Amrita University, Bengaluru, India

Published Articles
  • Solution of Lagrange’s Linear Differential Equation Using Matlab

    Abdel Radi Abdel Rahman Abdel Gadir , Neama Yahia Mohammed , Marwa Eltayb Abu Elgasim Msis

    Issue: Volume 6, Issue 3, September 2020
    Pages: 49-53
    Received: Jul. 07, 2020
    Accepted: Aug. 14, 2020
    Published: Sep. 16, 2020
    DOI: 10.11648/j.ijamtp.20200603.13
    Abstract: MATLAB, which stands for Matrix Laboratory, is a software package developed by Math Works, Inc. to facilitate numerical computations as well as some symbolic manipulation. It strikes us as being slightly more difficult to begin working with it than such packages as Maple, Mathematica, and Macsyma, though once you get comfortable with it, it offers ... Show More
  • Crank-Nicolson and Modified Crank-Nicolson Scheme for One Dimensional Parabolic Equation

    Omowo Babajide Johnson , Longe Idowu Oluwaseun

    Issue: Volume 6, Issue 3, September 2020
    Pages: 35-40
    Received: May 28, 2020
    Accepted: Jul. 13, 2020
    Published: Aug. 13, 2020
    DOI: 10.11648/j.ijamtp.20200603.11
    Abstract: Partial differential equations are very important tools for mathematical modeling in some field like; physics, engineering and applied Mathematics. It’s worth knowing that only few of this equation can be solved analytically and numerical method have been proven to perform exceedingly well in solving even difficult partial differential equations. F... Show More
  • Review of Some Numerical Methods for Solving Initial Value Problems for Ordinary Differential Equations

    Fadugba Sunday Emmanuel , Adebayo Kayode James , Ogunyebi Segun Nathaniel , Okunlola Joseph Temitayo

    Issue: Volume 6, Issue 1, March 2020
    Pages: 7-13
    Received: Apr. 21, 2020
    Accepted: Apr. 30, 2020
    Published: May 19, 2020
    DOI: 10.11648/j.ijamtp.20200601.12
    Abstract: Numerical analysis is a subject that is concerned with how to solve real life problems numerically. Numerical methods form an important part of solving differential equations emanated from real life situations, most especially in cases where there is no closed-form solution or difficult to obtain exact solutions. The main aim of this paper is to re... Show More
  • Analysis of the Properties of a Third Order Convergence Numerical Method Derived via the Transcendental Function of Exponential Form

    Sunday Emmanuel Fadugba , Jethro Olorunfemi Idowu

    Issue: Volume 5, Issue 4, December 2019
    Pages: 97-103
    Received: Sep. 14, 2019
    Accepted: Oct. 18, 2019
    Published: Nov. 04, 2019
    DOI: 10.11648/j.ijamtp.20190504.11
    Abstract: This paper proposes a new numerical method for the solution of the Initial Value Problems (IVPs) of first order ordinary differential equations. The new scheme has been derived via the transcendental function of exponential type. The analysis of the properties of the method such as local truncation error, order of accuracy, consistency, stability a... Show More