We derive linear inequality characterizations for sets of the form conv{(} where Q is convex and differentiable and P ⊂ R d . We show that in several cases our characterization leads to polynomial-time separation algorithms that operate in the original space of variables, in particular when Q is a positive-definite quadratic and P is a polyhedron or an ellipsoid.
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