GMRES: a generalized minimal residual algorithm for solving nonsymmetric linear systems
SIAM Journal on Scientific and Statistical Computing
The superlinear convergence behaviour of GMRES
Journal of Computational and Applied Mathematics
Analysis of acceleration strategies for restarted minimal residual methods
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. III: linear algebra
GMRES with Deflated Restarting
SIAM Journal on Scientific Computing
hypre: A Library of High Performance Preconditioners
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
On improving the performance of the linear solver restarted gmres
On improving the performance of the linear solver restarted gmres
A Technique for Accelerating the Convergence of Restarted GMRES
SIAM Journal on Matrix Analysis and Applications
The Cycle-Convergence of Restarted GMRES for Normal Matrices Is Sublinear
SIAM Journal on Scientific Computing
GMRES with adaptively deflated restarting and its performance on an electromagnetic cavity problem
Applied Numerical Mathematics
A stochastic conjugate gradient method for the approximation of functions
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
When solving a system of linear equations with the restarted GMRES method, a fixed restart parameter is typically chosen. We present numerical experiments that demonstrate the beneficial effects of changing the value of the restart parameter in each restart cycle on the total time to solution. We propose a simple strategy for varying the restart parameter and provide some heuristic explanations for its effectiveness based on analysis of the symmetric case.