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Posted by Zhiwei Fang on June 10, 2019

Introduction publications and CV of myself

Introduction

My name is Zhiwei Fang. I come from China, Tianjin. My major is computational mathematics. I am now interesting in numierlca simulation of electromagnetic field. My GitHub codes’ repositories is: Github.

I will put more codes and papers later.

Publications:

Li, J., Fang, Z. and Lin, G., 2018. Regularity analysis of metamaterial Maxwell’s equations with random coefficients and initial conditions. Computer Methods in Applied Mechanics and Engineering, 335, pp.24-51. DOI: 10.1016/j.cma.2018.02.012
Wang, X., Li, J. and Fang, Z., 2018. Development and analysis of Crank‐Nicolson scheme for metamaterial Maxwell's equations on nonuniform rectangular grids. Numerical Methods for Partial Differential Equations. DOI: 10.1002/num.22275
Jia, H., Li, J., Fang, Z. and Li, M., 2018. A new FDTD scheme for Maxwell’s equations in Kerr-type nonlinear media. Numerical Algorithms, pp.1-21. DOI: 10.1007/s11075-018-0602-3
Li, J. and Fang, Z., 2018. Analysis and Application of Stochastic Collocation Methods for Maxwell’s Equations with Random Inputs. Adv. Appl. Math. Mech., Vol. 10, No. 6, pp. 1305-1326. DOI: 10.4208/aamm.OA-2018-0101
Wang, S., Zhang, S. and Fang, Z., 2015. A superconvergent fitted finite volume method for Black–Scholes equations governing European and American option valuation. Numerical Methods for Partial Differential Equations, 31(4), pp.1190-1208. DOI: 10.1002/num.21941
Chang, S., Fang, Z., Liu, X. and Shaydurov, V., 2014. A fitted finite volume method for unit-linked policy with surrender option. Computational Research, 2(3), pp.49-53. DOI: 10.13189/cr.2014.020303
Fang, Z., Li, J., Tang, T. and Zhou, T., 2019. Efficient Stochastic Galerkin Methods for Maxwell’s Equations with Random Inputs. Journal of Scientific Computing, pp.1-20.

Resume: