In the numerical approach a model is run a number of times as part of a Monte Carlo simulation or a numerical propagation of errors to predict the variability of the outputs.
During a numerical procedure, a model is run repeatedly in a Monte Carlo simulation or a numerical estimation of error spread to estimate the output variations.