Chengjian Zhang
·Paper Publications
- [1] Chengjian Zhang, Ying Xie, Backward Euler-Maruyama method applied to nonlinear hybrid stochastic differential equations with time-variable delay, Science China Mathematics, 2019, 62(3):597-616. (SCI收录).
- [2] Chengjian Zhang, Huiru Wang, Solving nonlinear second-order delay initial value problems via the adapted Generalized Störmer-Cowell methods, Applied Mathematics Letters, 2019, 96: 172-178. (SCI收录).
- [3] Yongtao Zhou, Chengjian Zhang, Convergence and stability of block boundary value methods applied to nonlinear fractional differential equations with Caputo derivatives, Applied Numerical Mathematics, 2019, 135:367-380. (SCI收录).
- [4] Chengjian Zhang, Jingwen Wu, Weidong Zhao, One-Step Multi- Derivative Methods for Backward Stochastic Differential Equations, Numerical Mathematics: Theory, Methods & Applications, 2019, 12(4):1213-1230. (SCI收录).
- [5] Xiaoqiang Yan, Chengjian Zhang, Solving nonlinear functional- differential and functional equations with constant delay via block boundary value methods, Mathematics and Computers in Simulation, 2019, 166: 21-32. (SCI收录).
- [6] Brugnano Luigi, Gianmarco Gurioli,Chengjian Zhang. Spectrally accurate energy-preserving methods for the numerical solution of the “good”Boussinesq equation,Numerical Methods for Partial Differential Equations, 2019, 35: 1343-1362. (SCI收录).
- [7] Maohua Ran, Chengjian Zhang, Linearized Crank-Nicolson scheme for the nonlinear time-space fractional Schröinger equations, Journal of Computational and Applied Mathematics, 2019, 355:218-231.(SCI收录).
- [8] Dongfang Li, Waixiang Cao, Chengjian Zhang,Zhimin Zhang, Optimal error estimates of a linearized Crank-Nicolson Galerkin FEM for the Kuramoto-Tsuzuki equations,Communications in Computational Physics, 2019, 26 (3):838-854. (SCI收录).
- [9] Yongtao Zhou, Chengjian Zhang, One-leg methods for nonlinear stiff fractional differential equations with Caputo derivatives, Applied Mathematics and Computation, 2019, 348:594-608. (SCI收录).
- [10] Ying Xie, Chengjian Zhang, A class of stochastic one-parameter methods for nonlinear SFDEs with piecewise continuous arguments, Applied Numerical Mathematics, 2019, 135: 1-14. (SCI收录).