On a quasi-optimal regularized projection method for solving operator equations of the first kind

A new projection-iterative method was worked out for the numerical solution of equations of the first kind. This method consists of combining the Showalter regularization method with an adaptive projection discretization scheme. Quasi-optimality of the proposed method was proved on wide classes of ill-posed problems and its efficiency was established in the sense of volume of the discrete information used.