سعید کریمی جعفر بیگلو

In this paper, the preconditioned global least squares algorithm is applied to ap- proximate the generalized inverse of nearly singular or rectangular matrices. This preconditioner is based on the C-orthogonalization process, where C a symmetric pos- itive definite matrix. Finally, some numerical experiments are given to illustrate the efficiency of the new preconditioner.