唐贻发,  研究员

• 研究方向：

  哈密尔顿系统的辛几何算法、机器学习与动力系统、分数阶微分方程数值分析与应用

• 代表作：

  [1] Y.F. Tang, The Symplecticity of Multi-Step Methods, Computers & Mathematics with Applications, 25(3), 83-90 (1993), https://doi.org/10.1016/0898-1221(93)90146-M.
  
  [2] R.L. Zhang, J. Liu, Y.F. Tang, H. Qin, J.Y. Xiao & B.B. Zhu, Canonicalization and Symplectic Simulation of the Gyrocenter Dynamics in Time-Independent Magnetic Fields, Physics of Plasmas, 21(3), 032504 (2014), http://dx.doi.org/10.1063/1.4867669.
  
  [3] W.P. Bu, Y.F. Tang & J.Y. Yang, Galerkin Finite Element Method for Two-Dimensional Riesz Space Fractional Diffusion Equations, Journal of Computational Physics, 276, 26-38 (2014), http://dx.doi.org/10.1016/j.jcp.2014.07.023.
  
  [4] B.B. Zhu, R.L. Zhang, Y.F. Tang, X.B. Tu & Y. Zhao, Splitting K-symplectic methods for non-canonical separable Hamiltonian problems, Journal of Computational Physics, 322, 387-399 (2016), http://dx.doi.org/10.1016/j.jcp.2016.06.044.
  
  [5] A.Q. Zhu, P.Z. Jin, B.B. Zhu & Y.F. Tang, On Numerical Integration in Neural Ordinary Differential Equations, Proceedings of the 39th International Conference on Machine Learning, PMLR 162, 27527-27547 (2022), https://proceedings.mlr.press/v162/zhu22f.html.

• 联系方式：

  办公室：中科院数学院南楼712房间 电　话：0086-10-82541923 邮　箱：tyf@lsec.cc.ac.cn