Research article

Computational study of the convection-diffusion equation using new cubic B-spline approximations

  • Received: 11 December 2020 Accepted: 08 February 2021 Published: 19 February 2021
  • MSC : 65M70, 65Z05, 65D05, 65D07, 35B35

  • This paper introduces an efficient numerical procedure based on cubic B-Spline (CuBS) with a new approximation for the second-order space derivative for computational treatment of the convection-diffusion equation (CDE). The time derivative is approximated using typical finite differences. The key benefit of the scheme is that the numerical solution is obtained as a smooth piecewise continuous function which empowers one to find approximate solution at any desired position in the domain. Further, the new approximation has considerably increased the accuracy of the scheme. A stability analysis is performed to assure that the errors do not magnify. Convergence analysis of the scheme is also discussed. The scheme is implemented on some test problems and the outcomes are contrasted with those of some current approximating techniques from the literature. It is concluded that the offered scheme is equitably superior and effective.

    Citation: Asifa Tassaddiq, Muhammad Yaseen, Aatika Yousaf, Rekha Srivastava. Computational study of the convection-diffusion equation using new cubic B-spline approximations[J]. AIMS Mathematics, 2021, 6(5): 4370-4393. doi: 10.3934/math.2021259

    Related Papers:

  • This paper introduces an efficient numerical procedure based on cubic B-Spline (CuBS) with a new approximation for the second-order space derivative for computational treatment of the convection-diffusion equation (CDE). The time derivative is approximated using typical finite differences. The key benefit of the scheme is that the numerical solution is obtained as a smooth piecewise continuous function which empowers one to find approximate solution at any desired position in the domain. Further, the new approximation has considerably increased the accuracy of the scheme. A stability analysis is performed to assure that the errors do not magnify. Convergence analysis of the scheme is also discussed. The scheme is implemented on some test problems and the outcomes are contrasted with those of some current approximating techniques from the literature. It is concluded that the offered scheme is equitably superior and effective.



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