An upgraded version of an algorithm developed few years ago for diagonalizing large matrices has been implemented for the nuclear shell model eigenvalue problem. The use of a spin uncoupled basis yields a quite sparse Hamiltonian matrix.
Its dimensions are further reduced effectively by an importance sampling specific of the method. Some numerical examples enphasizes the potential of the revised algorithm.