Constraint solving lies at the heart of several specification-based approaches to automated testing. Korat is a previously developed algorithm for solving constraints in Java pro...
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Abstract. In this paper we present a scalable pointer analysis for embedded applications that is able to distinguish between instances of recursively defined data structures and e...
A quadratic programming formulation for multiclass image segmentation is investigated. It is proved that, in the convex case, the non-negativity constraint on the recent reported ...
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...