In the field of catalysis, the efficiency and selectivity of a catalytic process can be influenced by numerous variables such as temperature, pressure, and the presence of inhibitors or promoters. Stochastic Dynamic Programming can be utilized to optimize these conditions over time, accounting for the inherent uncertainties in reaction dynamics and environmental factors.
