13 citations · 18 across the 10 of their papers we have counts for
Showing math.OCShow all
3 papers · 1 filter
math.OC2020
On the Asymptotic Linear Convergence Speed of Anderson Acceleration Applied to ADMM
Dawei Wang, Yunhui He, Hans De Sterck
Empirical results show that Anderson acceleration (AA) can be a powerful mechanism to improve the asymptotic linear convergence speed of the Alternating Direction Method of Multipl…
math.OC2020
On the Asymptotic Linear Convergence Speed of Anderson Acceleration, Nesterov Acceleration, and Nonlinear GMRES
Hans De Sterck, Yunhui He
We consider nonlinear convergence acceleration methods for fixed-point iteration , including Anderson acceleration (AA), nonlinear GMRES (NGMRES), and Nesterov-type…
math.OC2020
Tuning Multigrid Methods with Robust Optimization
Jed Brown, Yunhui He, Scott MacLachlan +2
Local Fourier analysis is a useful tool for predicting and analyzing the performance of many efficient algorithms for the solution of discretized PDEs, such as multigrid and domain…