A Lipschitz selection from the set of minimizers of a nonconvex functional of the gradient

A constructive and improved version of the proof that there exist a continuous map that solves the convexified problem is presented. A Lipschitz continuous map is analyzed such that a map vector minimizes the functional at each vector satisfying Cellina's condition of existence of minimum. This map is explicitly given by a direct constructive algorithm