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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Selection of sampling strategy
Alias: none
Argument(s): none
Default: random
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 |
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