sample_type
Selection of sampling strategy
Specification
Alias: None
Arguments: None
Default: random
Child Keywords:
Required/Optional  | 
Description of Group  | 
Dakota Keyword  | 
Dakota Keyword Description  | 
|---|---|---|---|
Required (Choose One)  | 
Sample Type  | 
Uses Latin Hypercube Sampling (LHS) to sample variables  | 
|
Uses purely random Monte Carlo sampling to sample variables  | 
Description
The sample_type keyword allows the user to select between two types
of sampling: Monte Carlo (pure random) and Latin hypercube
(stratified) sampling.
The incremental keywords are deprecated; instead use samples
together with refinement_samples.
Default Behavior
If the sample_type keyword is present, it must be accompanied by
lhs or random.  In most contexts, lhs is the
default (exception: multilevel_sampling uses Monte Carlo by default).
Examples
method
  sampling
    sample_type lhs
    samples = 20
    seed = 83921

