Dongfang Li

Prof. Dr. Dongfang Li

1. School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China
+1

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2018 in SIAM Journal on Numerical Analysis
Verified
Journal Article
Closed access
HLHonglin Liao
Honglin Liao
Dongfang LiDongfang Li
Dongfang Li
JZJiwei Zhang
Jiwei Zhang
Stability and convergence of the L1 formula on nonuniform time grids are studied for solving linear reaction-subdiffusion equations with the Caputo derivative. A discrete fractional Grönwall inequality is developed for the nonuniform L1 formula by introducing a discrete convolution kernel of Riemann--Liouville fractional integral. To simplify the consistency analysis of the nonuniform L1 formula, we bound the local truncation error in a discrete convolution form and consider a global convolution error involving the discrete Riemann--Liouville integral kernel. With the help of discrete fractional Grönwall inequality and global consistency error analysis, a sharp error estimate reflecting the regularity of solution is obtained for a simple L1 scheme. Numerical examples are provided to verify the sharpness of the error analysis.

1 January 2019 in SIAM Journal on Scientific Computing
Verified
Journal Article
Closed access
GAGeorgios Akrivis
Georgios Akrivis
BLBuyang Li
Buyang Li
Dongfang LiDongfang Li
Dongfang Li
We construct and analyze a class of extrapolated and linearized Runge--Kutta (RK) methods, which can be of arbitrarily high order, for the time discretization of the Allen--Cahn and Cahn--Hilliard ...

1 June 2016 in Applied Mathematical Modelling
Verified
Journal Article
Closed access
Dongfang LiDongfang Li
Dongfang Li
CZChengjian Zhang
Chengjian Zhang
MRMaohua Ran
Maohua Ran

19 August 2022 in Mathematics of Computation
Verified
Journal Article
Closed access
PDF file
Dongfang LiDongfang Li
Dongfang Li
XLXiaoxi Li
Xiaoxi Li
ZZZhimin Zhang
Zhimin Zhang
Spatial discretizations of time-dependent partial differential equations usually result in a large system of semi-linear and stiff ordinary differential equations. Taking the structures into account, we develop a family of linearly implicit and high order accurate schemes for the time discretization, using the idea of implicit-explicit Runge-Kutta methods and the relaxation techniques. The proposed schemes are monotonicity-preserving/conservative for the original problems, while the previous linearized methods are usually not. We also discuss the linear stability and strong stability preserving (SSP) property of the new relaxation methods. Numerical experiments on several typical models are presented to confirm the effectiveness of the proposed methods.

1 October 2018 in Applied Mathematics Letters
Verified
Journal Article
Closed access
XCXiaoli Chen
Xiaoli Chen
YDYana Di
Yana Di
JDJinqiao Duan
Jinqiao Duan
Dongfang LiDongfang Li
Dongfang Li

13 June 2020 in Journal of Scientific Computing
Verified
Journal Article
Closed access
PDF file
Dongfang LiDongfang Li
Dongfang Li
WSWeiwei Sun
Weiwei Sun