Stopping Criteria for Eigensolvers

In most iterative methods for solving linear systems, the stopping criterion is based on the backward error. In this paper, after having recalled the situation for linear systems and showed that backward analysis can be used on eigenproblems, we present similar stopping criteria for eigensolvers. We also present link between the backward error and the forward error using the condition number. Numerical experiments with symmetric eigensolvers (Jacobi and Lanczos method) and with nonsymmetric ones (QR algorithm, subspace iteration and Arnoldi-Tchebychee method) illustrate the choice of the backward error.