张国栋老师

职务：　　　　讲师

教授课程：　　高等数学

研究方向：　　多物理问题数值算法与理论
教育经历：

2004.9-2008.7 山东理工大学 信息与计算科学 理学学士；

2008.9-2011.7 兰州大学 基础数学 理学硕士；

2011.9-2015.12 西安交通大学 计算数学 理学博士；

2014.9-2015.9 宾夕法尼亚州立大学 计算数学 联合培养；




工作经历：

2016.2-至今， 烟台大学 数学与信息科学学院， 计算科学系， 讲师；




研究兴趣：计算流体动力学，多物理问题计算。




研究成果：

10. Guo-Dong Zhang, Yinnian He, Decoupled schemes for unsteady MHD equations I:Time discr

etization， 2016, Submitted.

9. Yicong Ma, Jinchao Xu, Guo-Dong Zhang, Error estimates for a structure preservin discretization of an incompressible MHD system, 2016, Submitted.

8. Jinjin Yang, Yinnian He, Guo-Dong Zhang, The well posedness and convergence analysis of second order Newton linearization of MHD equations, 2016, Submitted.

7. Guo-Dong Zhang, Yinnian He, Unconditional convergence of the Euler semi-implicit

scheme for the 3D incompressible MHD equations:numerical implementation, International Journal of Numerical Methods for Heat & Fluid Flow,2015

6. Guodong Zhang, Xiaojing Dong, Yongzheng An, Hong Liu, Newconditions of stability and convergence of Stokes and Newton iterations forNavier-Stokes equations, Applied Mathematics and Mechanics, 2015.

5. Guo-Dong Zhang, Yinnian He, Decoupled schemes for unsteady MHDequations II:Finite element spatial discretization and numericalimplementation, Computers & Mathematics with Applications 2015,

4. Guo-Dong Zhang, Yan Zhang, Yinnian He, Two-Level Coupled andDecoupled Parallel Correction Methods for Stationary IncompressibleMagnetohydrodynamics, Journal of Scientific Computing,2015.

3. Guo-DongZhang, Yinnian He, Di Yang，Analysis of coupling iterations based on thefinite element method for stationary magnetohydrodynamics on a general domain, Computers& Mathematics with Applications , 2014.

2. Guo-DongZhang, Yinnian He, Yan Zhang, Streamline diffusion finite element method forstationary incompressible magnetohydrodynamics, Numerical Methods for PartialDifferential Equations, 2014.

1. Guo-Dong Zhang, Hong-Rui,Sun,Multiple solutions for a fourth-order difference boundary value problem withparameter via variational approach, Applied Mathematical Modelling, 2012.