The article considers numerical algorithms for the computation of static-output-feedbacks for large-scale linear time-invariant control systems of the form \[\dot{x}(t)=Ax(t)+Bu(t), \ \ y(t)=Cx(t),\] where the number of inputs \(n_u\) and outputs \(n_y\) is small in comparison to the state space. In particular, it is assumed that \(n_u\cdot n_y \ll n_x^2\). The contribution of the manuscript is a modification of a method called “ray-shooting algorithm”. In more detail, the authors suggest the inclusion of random search directions within the algorithm. A considerable amount of numerical examples is used to demonstrate the applicability of the method. However, while the authors theoretically seem to aim at “large-scale” or “huge-scale” systems, the final examples do not go beyond medium-scale state space dimensions of  \(n_x=3600\) which can easily be handled by standard optimal control algorithms, e.g., LQG/LQR/\(\mathcal{H}_\infty\)-control.