6 citations · 8 across the 4 of their papers we have counts for
7 papers
Fourier Neural Solver for large sparse linear algebraic systems
Chen Cui, Kai Jiang, Yun Liu +1
Large sparse linear algebraic systems can be found in a variety of scientific and engineering fields, and many scientists strive to solve them in an efficient and robust manner. In…
Two-level overlapping Schwarz methods based on local generalized eigenproblems for Hermitian variational problems
Qing Lu, Junxian Wang, Shi Shu +1
The research of two-level overlapping Schwarz (TL-OS) method based on constrained energy minimizing coarse space is still in its infancy, and there exist some defects, e.g. mainly…
Algebraic multigrid block preconditioning for multi-group radiation diffusion equations
Xiaoqiang Yue, Shulei Zhang, Xiaowen Xu +2
The paper focuses on developing and studying efficient block preconditioners based on classical algebraic multigrid for the large-scale sparse linear systems arising from the fully…
Local Averaging Type a Posteriori Error Estimates for the Nonlinear Steady-state Poisson-Nernst-Planck Equations
Ying Yang, Ruigang Shen, Mingjuan Fang +1
The a posteriori error estimates are studied for a class of nonlinear stead-state Poisson-Nernst-Planck equations, which are a coupled system consisting of the Nernst-Planck equati…
Adaptive-Multilevel BDDC algorithm for three-dimensional plane wave Helmholtz systems
Jie Peng, Shi Shu, Junxian Wang +1
In this paper, we are concerned with the weighted plane wave least-squares (PWLS) method for three-dimensional Helmholtz equations, and develop the multi-level adaptive BDDC algori…
A multigrid-reduction-in-time solver with a new two-level convergence for unsteady fractional Laplacian problems
Xiaoqiang Yue, Kejia Pan, Jie Zhou +3
The multigrid-reduction-in-time (MGRIT) technique has proven to be successful in achieving higher run-time speedup by exploiting parallelism in time. The goal of this article is to…