Guangzhi Du

According to our database, Guangzhi Du authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Two-grid parallel stabilized finite element method based on overlapping domain decomposition for the Stokes problem.

Guangzhi Du, Liyun Zuo

Comput. Math. Appl., February, 2024

2023

Local and parallel finite element methods based on two-grid discretizations for the unsteady mixed Stokes-Darcy model with the Beavers-Joseph interface condition.

Guangzhi Du, Shilin Mi, Xinhui Wang

Numer. Algorithms, December, 2023

Local and parallel finite element algorithms for magnetohydrodynamic flows with low electromagnetic Reynolds number.

Shilin Mi, Guangzhi Du, Yao Rong

Numer. Algorithms, August, 2023

A two-grid method with backtracking for Magnetohydrodynamic equations with low electromagnetic Reynolds number.

Shilin Mi, Guangzhi Du

Appl. Math. Lett., July, 2023

A modified local and parallel finite element method for the coupled Stokes-Darcy model with the Beavers-Joseph interface condition.

Xinhui Wang, Guangzhi Du, Yi Li

Numer. Algorithms, June, 2023

Local and parallel stabilized finite element methods based on two-grid discretizations for the Stokes equations.

Xinhui Wang, Guangzhi Du

Numer. Algorithms, May, 2023

A Local Parallel Finite Element Method for Super-Hydrophobic Proppants in a Hydraulic Fracturing System Based on a 2D/3D Transient Triple-Porosity Navier-Stokes Model.

Luling Cao, Jian Li, Zhangxin Chen, Guangzhi Du

CoRR, 2023

Numerical analysis of two-grid decoupled finite element algorithm for a coupled Darcy/Darcy fracture model.

Guangzhi Du, Yao Rong, Liyun Zuo

Appl. Math. Lett., 2023

2022

Local and parallel partition of unity scheme for the mixed Navier-Stokes-Darcy problem.

Guangzhi Du, Liyun Zuo

Numer. Algorithms, 2022

Local and Parallel Finite Element Methods Based on Two-grid Discretizations for a Transient Coupled Navier-Stokes/Darcy Model.

Qingtao Li, Guangzhi Du

J. Sci. Comput., 2022

A New Local and Parallel Finite Element Method for the Coupled Stokes-Darcy Model.

Guangzhi Du, Liyun Zuo, Yuhong Zhang

J. Sci. Comput., 2022

Local and parallel finite element methods based on two-grid discretizations for a non-stationary coupled Stokes-Darcy model.

Qingtao Li, Guangzhi Du

Comput. Math. Appl., 2022

A novel two-grid method for a fracture model.

Liyun Zuo, Guangzhi Du

Appl. Math. Lett., 2022

2021

Local and parallel finite element methods based on two-grid discretizations for the nonstationary Navier-Stokes equations.

Qingtao Li, Guangzhi Du

Numer. Algorithms, 2021

Local and parallel finite element methods for the coupled Stokes/Darcy model.

Guangzhi Du, Liyun Zuo

Numer. Algorithms, 2021

A two-grid method with backtracking for the mixed Stokes/Darcy model.

Guangzhi Du, Liyun Zuo

J. Num. Math., 2021

A novel local and parallel finite element method for the mixed Navier-Stokes-Darcy problem.

Xinhui Wang, Guangzhi Du, Liyun Zuo

Comput. Math. Appl., 2021

2020

A Parallel Iterative Finite Element Method for the Linear Elliptic Equations.

Guangzhi Du, Liyun Zuo

J. Sci. Comput., 2020

2019

A two-grid parallel partition of unity finite element scheme.

Guangzhi Du, Liyun Zuo

Numer. Algorithms, 2019

2018

A parallel two-grid linearized method for the coupled Navier-Stokes-Darcy problem.

Liyun Zuo, Guangzhi Du

Numer. Algorithms, 2018

A Parallel Partition of Unity Scheme Based on Two-Grid Discretizations for the Navier-Stokes Problem.

Guangzhi Du, Liyun Zuo

J. Sci. Comput., 2018

A multi-grid technique for coupling fluid flow with porous media flow.

Liyun Zuo, Guangzhi Du

Comput. Math. Appl., 2018

2017

Local and parallel finite element post-processing scheme for the Stokes problem.

Guangzhi Du, Liyun Zuo

Comput. Math. Appl., 2017

2016

Local and parallel finite element methods for the mixed Navier-Stokes/Darcy model.

Guangzhi Du, Yanren Hou, Liyun Zuo

Int. J. Comput. Math., 2016

An expandable local and parallel two-grid finite element scheme.

Yanren Hou, Guangzhi Du

Comput. Math. Appl., 2016