Mixed-Integer Programming Formulation of a Data-Driven Solver in Computational Elasticity

This paper presents a mixed-integer quadratic programming formulation of anexisting data-driven approach to computational elasticity. This formulation issuitable for application of a standard mixed-integer programming solver, whichfinds a global optimal solution. Therefore, the results obtained by thepresented method can be used as benchmark instances for any other algorithm.Preliminary numerical experiments are performed to compare quality of solutionsobtained by the proposed method and a heuristic used in the data-drivencomputational mechanics.