sample_type
Selection of sampling strategy
Specification
Alias: None
Arguments: None
Default: lhs
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 |
|||
(Deprecated keyword) Augments an existing Latin Hypercube Sampling (LHS) study |
|||
(Deprecated keyword) Augments an existing random sampling study |
|||
Uses low-discrepancy points to sample variables |
Description
The sample_type
keyword allows the user to select between three types
of sampling: Monte Carlo (pure random), Latin hypercube
(stratified), and low-discrepancy (quasi-Monte Carlo) 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
, random
or low_discrepancy
. 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