A numerical procedure for efficiently solving large systems of linear equations is presented. The approach, termed the reduced linear equation (RLE) method, is illustrated by solving the systems of linear equations that arise in linearized versions of coupledhyphen;cluster theory. The nonlinear coupledhyphen;cluster equations are also treated with the RLE by assuming an approximate linearization of the nonlinear terms. Very efficient convergence for linear systems and good convergence for nonlinear equations are found for a number of examples that manifest some degeneracy. These include the Be atom, H2at large separation, and the N2molecule. The RLE method is compared to the conventional iterative procedure and to Padeacute; approximants. The relationship between the projection method and least square methods for reducing systems of equations is discussed.
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