GMRES: a generalized minimal residual algorithm for solving nonsymmetric linear systems
SIAM Journal on Scientific and Statistical Computing
A theoretical comparison of the Arnoldi and GMRES algorithms
SIAM Journal on Scientific and Statistical Computing
Journal of Computational and Applied Mathematics
Global FOM and GMRES algorithms for matrix equations
Applied Numerical Mathematics
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
New convergence results on the global GMRES method for diagonalizable matrices
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Extended Arnoldi methods for large low-rank Sylvester matrix equations
Applied Numerical Mathematics
On the global Krylov subspace methods for solving general coupled matrix equations
Computers & Mathematics with Applications
Hi-index | 7.30 |
In the present paper, we give some convergence results of the global minimal residual methods and the global orthogonal residual methods for multiple linear systems. Using the Schur complement formulae and a new matrix product, we give expressions of the approximate solutions and the corresponding residuals. We also derive some useful relations between the norm of the residuals.