Techniques for transforming convex quadratic programs (QPs) into monotone linear complementarity problems (LCPs) and vice versa are well known. We describe a class of LCPs for which a reduced QP formulation---one that has fewer constraints than the ``standard'' QP formulation---is available. We mention several instances of this class, including the known case in which the coefficient matrix in the LCP is symmetric.
Preprint P808-0400, MCS Division, Argonne National Laboratory, April, 2000. Published in Mathematical Programming, Series A, 90 (2001), pp. 459--473.