Preconditioning techniques for large linear systems: a survey
Journal of Computational Physics
Preconditioning for a Class of Spectral Differentiation Matrices
Journal of Scientific Computing
Using constraint preconditioners with regularized saddle-point problems
Computational Optimization and Applications
On the linear convergence of Newton-Krylov methods
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART II
Operator-Based Preconditioning of Stiff Hyperbolic Systems
SIAM Journal on Scientific Computing
The Cycle-Convergence of Restarted GMRES for Normal Matrices Is Sublinear
SIAM Journal on Scientific Computing
Journal of Computational Physics
A generalized Block FSAI preconditioner for nonsymmetric linear systems
Journal of Computational and Applied Mathematics
Necessary and sufficient conditions for GMRES complete and partial stagnation
Applied Numerical Mathematics
Complete stagnation of GMRES for normal matrices
Journal of Computational and Applied Mathematics
Prescribing the behavior of early terminating GMRES and Arnoldi iterations
Numerical Algorithms
Hi-index | 0.01 |
Given a nonincreasing positive sequence $f(0) \geq f(1) \geq \cdots \geq f(n-1) 0$, it is shown that there exists an $n$ by $n$ matrix $A$ and a vector $r^0$ with $\| r^0 \| = f(0)$ such that $f(k) = \| r^k \|$, $k=1, \ldots , n-1$, where $r^k$ is the residual at step $k$ of the GMRES algorithm applied to the linear system $Ax=b$, with initial residual $r^0 = b - A x^0$. Moreover, the matrix $A$ can be chosen to have any desired eigenvalues.