1Blurb:: 2Uses Latin Hypercube Sampling (LHS) to sample variables 3 4Description:: 5The \c lhs keyword invokes Latin Hypercube Sampling as the means of 6drawing samples of uncertain variables according to their probability 7distributions. This is a stratified, space-filling approach that 8selects variable values from a set of equi-probable bins. 9 10<b> Default Behavior </b> 11 12Latin Hypercube Sampling is the default sampling mode in most contexts 13(exception: multilevel_sampling). To explicitly specify LHS in the 14Dakota input file, the \c lhs keyword must appear in conjunction with 15the \c sample_type keyword. 16 17<b> Usage Tips </b> 18 19Latin Hypercube Sampling is very robust and can be applied to any 20problem. It is fairly effective at estimating the mean of model 21responses and linear correlations with a reasonably small number of 22samples relative to the number of variables. 23 24Topics:: 25Examples:: 26\verbatim 27method 28 sampling 29 sample_type lhs 30 samples = 20 31\endverbatim 32Theory:: 33Faq:: 34See_Also:: 35