Explicit Group Iterative Method with Semi-Approximate Implicit Approach for Solving One-Dimensional Burgers’ Equation

Authors

  • Nur Farah Azira Zainal Faculty of Science and Natural Resources, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia
  • Jumat Sulaiman
  • Azali Saudi Faculty of Computing and Informatics, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia
  • Nur Afza Mat Ali Faculty of Science and Natural Resources, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia
  • Nor Syahida Mohamad Faculty of Science and Natural Resources, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia
  • Andang Sunarto Tadris Matematika, Universitas Islam Negeri (UIN) Fatmawati Sukarno, Bengkulu 38211, Indonesia

DOI:

https://doi.org/10.37934/araset.61.1.127137

Keywords:

Nonlinear Burgers’ equation, Implicit finite difference scheme, Semi-approximate implicit approach, Explicit group iteration

Abstract

This paper is considering a semi-approximate approach in investigating the Burgers’ problem. The process of the discretization of Burgers’ problem has taken place which it starts with the second-order finite difference in the discretize process together with the linearization part by using the semi-approximate implicit scheme in a way to achieve the approximation equation, thus generating the corresponding linear system equations. Besides, the Gauss-Seidel (GS), Successive Over-Relaxation (SOR) and explicit group (EG) iterative method has combined together with the SOR iterative method, namely as 4-point EGSOR (4EGSOR) has been introduced in this study for resolving the linear system. To assess the proficiency of the suggested methods on the approximation equation, the numerical test has been conducted by considering three parameters, which are computational time, iteration number and maximum absolute error. The findings indicate that the 4EGSOR method outperforms both SOR and GS iterative methods.  

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Author Biographies

Nur Farah Azira Zainal, Faculty of Science and Natural Resources, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia

farah.zainal19@gmail.com

Azali Saudi, Faculty of Computing and Informatics, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia

azali@ums.edu.my

Nur Afza Mat Ali, Faculty of Science and Natural Resources, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia

afzamatali@yahoo.com

Nor Syahida Mohamad, Faculty of Science and Natural Resources, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia

norsyahida1302@gmail.com

Andang Sunarto, Tadris Matematika, Universitas Islam Negeri (UIN) Fatmawati Sukarno, Bengkulu 38211, Indonesia

andang99@gmail.com

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Published

2024-10-22

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Section

Articles