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Jing Sun

Associate professor of Institute of Computational Mathematics.

Email:sj@lzu.edu.cn

Ph.D.Lanzhou University, 2021, Computing Mathematics

Biography

Social experience

  • Teaching and guiding the situation of graduate students

  • Project results

  • Research interests

    Publications

  • 1. Sun J., Nie D.X., Deng W.H., An efficient numerical algorithm for the model describing the competition between super- and sub-diffusions driven by fractional Brownian sheet noise. Journal of Scientific Computing, 2023, 96(1):10.
    2. Sun J., Deng W.H., Nie D.X., Numerical approximations for the fractional Fokker-Planck equation with two-scale diffusion. Journal of Scientific Computing, 2022, 91(2):34.
    3. Nie D.X., Sun J., Deng W.H., Strong convergence order for the scheme of fractional diffusion equation driven by fractional Gaussian noise. SIAM Journal on Numerical Analysis, 2022, 60(4):1879-1904.
    4. Sun J., Deng W.H., Nie D.X., Finite difference method for inhomogeneous fractional Dirichlet problem. Numerical Mathematics: Theory, Methods and Applications, 2022, 15(3):744-767.
    5. Sun J., Nie D.X., Deng W.H., Algorithm implementation and numerical analysis for the two-dimensional tempered fractional Laplacian. BIT Numerical Mathematics, 2021, 61(4):1421-1452.
    6. Sun J., Nie D.X., Deng W.H., High-order BDF fully discrete scheme for backward fractional Feynman-Kac equation with nonsmooth data. Applied Numerical Mathematics, 2021, 161:82-100.
    7. Sun J., Nie D.X., Deng W.H., Error estimates for backward fractional Feynman-Kac equation with non-smooth initial data. Journal of Scientific Computing, 2020, 84(1):6.
    8. Nie D.X., Sun J., Deng W.H., Numerical algorithm for the space-time fractional Fokker-Planck system with two internal states. Numerische Mathematik, 2020, 146(3):481-511.
    9. Sun J., Nie D.X., Deng W.H., Fast algorithms for convolution quadrature of Riemann-Liouville fractional derivative. Applied Numerical Mathematics, 2019, 145:384-410.
  • Honor and Award

  • Other information