Dakota Reference Manual: dace

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dace

Design and Analysis of Computer Experiments

## Topics

This keyword is related to the topics:

- package_ddace
- design_and_analysis_of_computer_experiments

## Specification

Alias: none

Argument(s): none

Child Keywords:

| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description
--- | --- | --- | --- | ---
| Required (Choose One) | DACE type (Group 1) | grid | Grid Sampling
random | Uses purely random Monte Carlo sampling to sample variables
oas | Orthogonal Array Sampling
lhs | Uses Latin Hypercube Sampling (LHS) to sample variables
oa_lhs | Orthogonal Array Latin Hypercube Sampling
box_behnken | Box-Behnken Design
central_composite | Central Composite Design
| Optional | samples | Number of samples for sampling-based methods
| Optional | seed | Seed of the random number generator
| Optional | fixed_seed | Reuses the same seed value for multiple random sampling sets
| Optional | main_effects | ANOVA
| Optional | quality_metrics | Calculate metrics to assess the quality of quasi-Monte Carlo samples
| Optional | variance_based_decomp | Activates global sensitivity analysis based on decomposition of response variance into contributions from variables
| Optional | symbols | Number of replications in the sample set
| Optional | model_pointer | Identifier for model block to be used by a method

## Description

The Distributed Design and Analysis of Computer Experiments (DDACE) library provides the following DACE techniques:

1. grid sampling (`grid`)
2. pure random sampling (`random`)
3. orthogonal array sampling (`oas`)
4. latin hypercube sampling (`lhs`)
5. orthogonal array latin hypercube sampling (`oa_lhs`)
6. Box-Behnken (`box_behnken`)
7. central composite design (`central_composite`)

These methods all generate point sets that may be used to drive a set of computer experiments. Note that all of the DACE methods generated randomized designs, except for Box-Behnken and Central composite which are classical designs. That is, the grid sampling will generate a randomized grid, not what one typically thinks of as a grid of uniformly spaced points over a rectangular grid. Similar, the orthogonal array is a randomized version of an orthogonal array: it does not generate discrete, fixed levels.

In addition to the selection of the method, there are keywords that affect the method outputs:

1. main_effects
2. quality_metrics
3. variance_based_decomp

And keywords that affect the sampling:

1. fixed_seed
2. symbols
3. samples
4. seed

## See Also

These keywords may also be of interest:

- fsu_cvt
- fsu_quasi_mc
- psuade_moat