Mathematics, Artificial Intelligence, Machine Learning, Deep Learning, AI.
The goal here is to understand the behavior or performance of the algorithm under a variety of conditions, which are modeled by the random inputs. For instance, Monte Carlo simulations use random inputs to model complex systems and predict their behavior over time. The algorithm processes these