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For solving a class of augmented linear systems, we propose a new efficient iteration method, which is called preconditioned Richardson iteration (PR). Under suitable restrictions on the iteration parameters, we prove that the iterative sequences converge to the unique solution of the augmented linear system. Moreover, the optimal iteration parameters and the corresponding optimal convergence factor...
For solving a class of complex symmetric linear systems, we introduce a new single-step iteration method, which can be taken as a fixed-point iteration adding the asymptotical error (FPAE). In order to accelerate the convergence, we further develop the parameterized variant of the FPAE (PFPAE) iteration method. Each iteration of the FPAE and the PFPAE methods requires the solution of only one linear...
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