  A new algorithm for solving non-homogeneous asymptotically linear and
superlinear problems is proposed. The ground state solution of the problem,
which in general is obtained as a mini-max of the associated functional, is
obtained as the minimum of the functional constrained to the Pohozaev manifold
instead. Examples are given of the use of this method for finding numerical
radially symmetric positive solutions depending on various parameters.
