New Insights in GMRES-Like Methods with Variable Preconditioners

摘要

Two recently proposed methods, FGMRES and GMRESR, are compared for the iterative solution of sparse linear systems with an unsymmetric nonsingular matrix. Both methods compute minimal residual approximations using preconditioners, which may be different from step to step. The insights resulting from this comparison lead to better variants of both methods.