B. Fischer, A. Ramage, D. J. Silvester, A. J. Wathen
For large systems of linear equations, iterative methods provide attractive
solution techniques. We describe the applicability and convergence of iterative
methods of Krylov subspace type for an important class of symmetric and
indefinite matrix problems, namely augmented (or KKT) systems. Specifically, we
consider preconditioned minimum residual methods and discuss indefinite versus
positive defi... hiện toàn bộ