Dakota Reference Manual: sample_type

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sample_type

Selection of sampling strategy

## Specification

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

## 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