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A recursive algorithm to obtain a complement of a sum-of-products expression for a binary function with p-valued inputs is presented. It produces at most pn/2 products for n-variable functions, whereas a conventional elementary algorithm produces O(tn·n(1-t)/2) products where t = 2P -1. It is 10-20 times faster than the elementary one when p = 2 and n = 8. For large practical-problems, it produces many fewer products than the disjoint sharp algorithm used by MINI. Appplications of the algorithm to PLA minimization are also presented.