Conjugate gradient and minimal residual method for solving symmetric indefinite systems
A norm-minimizing-type algorithm based on the conjugate gradient approach for solving large sparse linear systems with symmetric and indefinite coefficient matrices is proposed. Some relations among the search directions and the residuals, and how the search directions are related to the Krylov subspace, are investigated. Some numerical examples are illustrated to show its convergence properties.
scientific article; zbMATH DE number 1084115