Uses Latin Hypercube Sampling (LHS) to sample variables
lhs keyword invokes Latin Hypercube Sampling as the means of
drawing samples of uncertain variables according to their probability
distributions. This is a stratified, space-filling approach that
selects variable values from a set of equi-probable bins.
Latin Hypercube Sampling is the default sampling mode in most contexts
(exception: multilevel_sampling). To explicitly specify LHS in the
Dakota input file, the
lhs keyword must appear in conjunction with
Latin Hypercube Sampling is very robust and can be applied to any problem. It is fairly effective at estimating the mean of model responses and linear correlations with a reasonably small number of samples relative to the number of variables.
samples = 20