Dr Hailong GUO

Lecturer

School of Mathematics and Statistics

  • Room: G19
  • Building: Peter Hall Building
  • Campus: Parkville

Research Interests

  • Numerical Analysis and Scientific Computing

Research Groups

Recent Publications

  • H. GUO, X Yang, Y Zhu. Bloch theory-based gradient recovery method for computing topological edge modes in photonic graphene. Journal of Computational Physics, 379, 403-420, 2019. doi: 10.1016/j.jcp.2018.12.001.

  • Minqiang Xu, H. GUO, Qingsong Zou. Hessian recovery based finite element methods for the Cahn-Hilliard equation. Journal of Computational Physics, 386, 524-540, 2019. doi: 10.1016/j.jcp.2019.01.056.

  • H. GUO, C Xie, R Zhao. Superconvergent gradient recovery for virtual element methods. Mathematical Models and Methods in Applied Sciences, 2007-2031, 2019. doi: 10.1142/S0218202519500386.

  • H. GUO, 1631. Gradient Recovery for Elliptic Interface Problem: I. Body-Fitted Mesh. Communications in Computational Physics, 23, 1488-1511, 2018. doi: 10.4208/cicp.OA-2017-0026.

  • H. GUO, 1631. Gradient recovery for elliptic interface problem: III. Nitsche's method. Journal of Computational Physics, 356, 46-63, 2018. doi: 10.1016/j.jcp.2017.11.031.

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