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Straubhaar, Julien
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Straubhaar, Julien
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julien.straubhaar@unine.ch
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- PublicationMétadonnées seulementPreconditioners for the conjugate gradient algorithm using Gram-Schmidt and least squares methods(2007-1)This paper is devoted to the study of some preconditioners for the conjugate gradient algorithm used to solve large sparse linear and symmetric positive definite systems. The construction of a preconditioner based on the Gram-Schmidt orthogonalization process and the least squares method is presented. Some results on the condition number of the preconditioned system are provided. Finally, numerical comparisons are given for different preconditioners.