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Dakota Reference Manual
Version 6.16
Explore and Predict with Confidence
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Selection of sampling strategy
Alias: none
Argument(s): none
Default: lhs
Child Keywords:
| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
|---|---|---|---|---|
| Required (Choose One) | Sample Type (Group 1) | lhs | Uses Latin Hypercube Sampling (LHS) to sample variables | |
| random | Uses purely random Monte Carlo sampling to sample variables | |||
| incremental_lhs | (Deprecated keyword) Augments an existing Latin Hypercube Sampling (LHS) study | |||
| incremental_random | (Deprecated keyword) Augments an existing random sampling study |
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).
method
sampling
sample_type lhs
samples = 20
seed = 83921