On numerical solution to sparsity constrained controllability metrics maximization

Controllability maximization problem under sparsity constraints is a node selection problem that selects inputs that are effective for control in order to minimize the energy to control for desired state. The authors recently provided approximated and exact numerical solution methods for this problems. In this paper we perform a numerical evaluation of these two methods.