  This paper presents a mixed-integer quadratic programming formulation of an
existing data-driven approach to computational elasticity. This formulation is
suitable for application of a standard mixed-integer programming solver, which
finds a global optimal solution. Therefore, the results obtained by the
presented method can be used as benchmark instances for any other algorithm.
Preliminary numerical experiments are performed to compare quality of solutions
obtained by the proposed method and a heuristic used in the data-driven
computational mechanics.
