In this paper we consider the problem of finding the {\em densest} subset subject to {\em co-matroid constraints}. We are given a {\em monotone supermodular} set function defined over a universe , and the density of a subset is defined to be . This generalizes the concept of graph density. Co-matroid constraints are the following: given matroid a set is feasible, iff the complement of is {\em independent} in the matroid. Under such constraints, the problem becomes -hard. The specific case of graph density has been considered in literature under specific co-matroid constraints, for example, the cardinality matroid and the partition matroid. We show a 2-approximation for finding the densest subset subject to co-matroid constraints. Thus, for instance, we improve the approximation guarantees for the result for partition matroids in the literature.

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