We present an iterative method for solving linear systems, which has the property of minimizing at every step the norm of the residual vector over a Krylov subspace. The algorithm is derived from the Arnoldi process for constructing an $l_2 $-orthogonal basis of Krylov subspaces. It can be considere...
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