Zhanbin Yuan
Northwestern Polytechnical University
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Publication
Featured researches published by Zhanbin Yuan.
Journal of Computational Physics | 2017
Z. Yang; Zhanbin Yuan; Yufeng Nie; Jungang Wang; X. Zhu; Fawang Liu
In this paper, we consider two-dimensional Riesz space fractional diffusion equations with nonlinear source term on convex domains. Applying Galerkin finite element method in space and backward difference method in time, we present a fully discrete scheme to solve Riesz space fractional diffusion equations. Our breakthrough is developing an algorithm to form stiffness matrix on unstructured triangular meshes, which can help us to deal with space fractional terms on any convex domain. The stability and convergence of the scheme are also discussed. Numerical examples are given to verify accuracy and stability of our scheme. A finite element method is developed to solve 2D-space fractional diffusion equations with nonlinear source term.We develop a finite element method for FPDEs on irregular domain.We obtain explicit expressions for fractional derivatives of shape functions.We give the details on how to compute fractional stiffness matrix.Fractional FitzHugh-Nagumo model is solved on circular domain.
IOP Conference Series: Earth and Environmental Science | 2017
Jiahui Hu; Jungang Wang; Zhanbin Yuan; Zongze Yang; Yufeng Nie
Space fractional advection diffusion equations are better to describe anomalous diffusion phenomena because of non-locality of fractional derivatives, which causes people to confront great trouble in problem solving while enjoying the convenience from mathematical modelling, especially in high dimensional cases. In this paper, we solve the three-dimensional problem by the process of dimension by dimension, which can be achieved through a predictor-corrector algorithm. In time discretization, Crank-Nicolson scheme is adopted to match second-order difference operator of the space direction. Then, the efficiency of this method is demonstrated by some numerical examples finally.
Advances in Difference Equations | 2017
Xiaogang Zhu; Yufeng Nie; Zhanbin Yuan; Jungang Wang; Zongze Yang
In this article, we propose an exponential B-spline approach to obtain approximate solutions for the fractional sub-diffusion equation of Caputo type. The presented method is established via a uniform nodal collocation strategy by using an exponential B-spline based interpolation in conjunction with an effective finite difference scheme in time. The unique solvability is rigorously proved. The unconditional stability is well illustrated via a procedure closely resembling the classic von Neumann technique. A series of numerical examples are carried out, and by contrast to other algorithms available in the open literature, numerical results confirm the validity and superiority of our method.
International Journal of Computer Mathematics | 2017
Xiaogang Zhu; Yufeng Nie; Jungang Wang; Zhanbin Yuan
Applied Mathematical Modelling | 2016
Zhanbin Yuan; Yufeng Nie; Fawang Liu; Ian Turner; Guiyong Zhang; YuanTong Gu
School of Mathematical Sciences; Science & Engineering Faculty | 2018
Xiaogang Zhu; Zhanbin Yuan; Fawang Liu; Yufeng Nie
arXiv: Numerical Analysis | 2016
Xiaogang Zhu; Yufeng Nie; Zhanbin Yuan; Jungang Wang; Zongze Yang
arXiv: Numerical Analysis | 2016
Jiahui Hu; Jungang Wang; Zhanbin Yuan; Zongze Yang; Yufeng Nie
arXiv: Numerical Analysis | 2016
Zongze Yang; Jungang Wang; Zhanbin Yuan; Yufeng Nie