On preconditioned GAOR methods for weighted linear least squares problems.

In this paper, we consider the preconditioned generalized accelerated overrelaxation (GAOR) methods for solving weighted linear least squares problems. New type of preconditioners are proposed and the convergence rates of the new preconditioned GAOR methods are studied. Comparison results show the effectiveness of the proposed preconditioners in this paper. A numerical example is given to confirm our theoretical results. [ABSTRACT FROM AUTHOR]