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A Convergence Result of a Linear SUSHI Scheme Using Characteristics Method for a Semi-linear Parabolic Equation

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Advances in High Performance Computing (HPC 2019)

Abstract

This work is an extension and improvement of [1] which dealt with a convergence analysis of a FVS (Finite Volume Scheme) using the Characteristic method for non-stationary LINEAR advection-diffusion equations. In this note, we address the case of non-stationary SEMILINEAR advection-diffusion equations. We establish two FVSs, one is linear and the other is nonlinear, which uses the discrete gradient developed in [5] and an approximation of the equation using the Characteristic method. For the sake of simplicity of the present note, we only focus on the linear scheme and we prove its convergence. The convergence analysis relies mainly on a well developed new discrete a prior estimate.

This work is a continuation of the previous one [2] in which we derived directly a finite volume scheme for the semilinear heat equation along with a convergence analysis.

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References

  1. Benkhaldoun, F., Bradji, A.: Convergence analysis of a finite volume gradient scheme for a linear parabolic equation using characteristic methods. In: Lirkov, I., Margenov, S. (eds.) Large-Scale Scientific Computing. LSSC 2019. LNCS, vol. 11958. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-41032-2_65

  2. Bradji, A.: An analysis for the convergence order of gradient schemes for semilinear parabolic equations. Comput. Math. Appl. 72(5), 1287–1304 (2016)

    Article  MathSciNet  Google Scholar 

  3. Bradji, A., Fuhrmann, J.: Error estimates of the discretization of linear parabolic equations on general nonconforming spatial grids. C. R. Math. Acad. Sci. Paris 348(19–20), 1119–1122 (2010)

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  4. Bradji, A., Fuhrmann, J.: Some abstract error estimates of a finite volume scheme for a nonstationary heat equation on general nonconforming multidimensional spatial meshes. Appl. Math. 58(1), 1–38 (2013)

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  5. Eymard, R., Gallouët, T., Herbin, R.: Discretization of heterogeneous and anisotropic diffusion problems on general nonconforming meshes. IMA J. Numer. Anal. 30(4), 1009–1043 (2010)

    Article  MathSciNet  Google Scholar 

  6. Feistauer, M., Felcman, J., Straskraba, I.: Mathematical and Computational Methods for Compressible Flow. Numerical Mathematics and Scientific Computation. Oxford University Press, Oxford (2003)

    Google Scholar 

  7. Quarteroni, A., Valli, A.: Numerical Approximation of Partial Differential Equations. Springer Series in Computational Mathematics, vol. 23. Springer, Berlin (2008)

    Google Scholar 

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Correspondence to Abdallah Bradji .

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Bradji, A., Ziggaf, M. (2021). A Convergence Result of a Linear SUSHI Scheme Using Characteristics Method for a Semi-linear Parabolic Equation. In: Dimov, I., Fidanova, S. (eds) Advances in High Performance Computing. HPC 2019. Studies in Computational Intelligence, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-55347-0_38

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