The classical solving approach for two-level logic minimization reduces the problem to a special case of unate covering and attacks the latter with a (possibly limited) branch-and-bound algorithm. We adopt this approach, but we propose a constructive heuristic algorithm that combines the use of Binary Decision Diagrams with the lagrangian relaxation. This technique permits to achieve an effective choice of the elements to include into the solution, as well as cost-related reductions of the problem and a good lower bound on the optimum. The results support the effectiveness of this approach: on a wide set of benchmark problems, the algorithm nearly always hits the optimum, and in most cases proves it to be such. On the problems whose optimum is actually unknown, the best known result is strongly improved.