高骏强
近期热点
资料介绍
个人简历
2008.09~2012.06 华北电力大学数理学院 信息与计算科学 学士学位2012.09~2017.06 华北电力大学控制与计算机工程学院 系统分析、运筹与控制 博士学位(硕博连读) 导师:罗振东教授2013.12~2017.06 中国科学院大气物理研究所LASG实验室(客座学习) 导师:谢正辉研究员研究领域
陆面过程模式发展;POD降阶数值算法研究近期论文
[1] Gao J, Xie Z, Wang A, et al. Numerical simulation based on two-directional freeze and thaw algorithm for thermal diffusion model[J]. Applied Mathematics and Mechanics, 2016, 37(11): 1467-1478 (SCI)[2] Luo Z, Gao J, Xie Z. Reduced-order finite difference extrapolation model based on proper orthogonal decomposition for two-dimensional shallow water equations including sediment concentration[J]. Journal of Mathematical Analysis and Applications, 2015, 429(2): 901-923 (SCI)[3] Luo Z, Gao J. A POD reduced-order finite difference time-domain extrapolating scheme for the 2D Maxwell equations in a lossy medium[J]. Journal of Mathematical Analysis and Applications, 2016, 444(1): 433-451 (SCI)[4] Luo Z, Gao J. The numerical simulations based on the NND finite difference scheme for shallow water wave equations including sediment concentration[J]. Computer Methods in Applied Mechanics and Engineering, 2015, 294: 245-258 (SCI)[5] Luo Z, Gao J. Stabilized mixed finite element model for the 2D nonlinear incompressible viscoelastic fluid system[J]. Boundary Value Problems, 2017, 2017(1): 56-69 (SCI)[6] 罗振东, 高骏强, 孙萍, 等. 交通流模型基于特征投影分解技术的外推降维有限差分格式[J]. 计算数学, 2013, 35(2): 159-170 (CSCD)[7] Luo Z, Li H, Sun P, Gao J. A reduced-order finite difference extrapolation algorithm based on POD technique for the non-stationary Navier–Stokes equations[J]. Applied Mathematical Modelling, 2013, 37(7): 5464-5473 (SCI)[8] Li H, Luo Z, Gao J. A new reduced-order FVE algorithm based on POD method for viscoelastic equations[J]. Acta Mathematica Scientia, 2013, 33(4): 1076-1098 (SCI) 相关热点
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