Over-determined inverse problems possess a substantial amount of information which is averaged together by the least-squares inverse method to produce an average solution. If the best solution is used rather than the average solution then not only does the method converge more rapidly than the standard method, but it has a larger basin of attraction and is computationally far more efficient. The method is demonstrated using synthetic gravity models.