predefined

Specify a predefined generating vector

Specification

  • Alias: None

  • Arguments: None

  • Default: Default generating vector

Child Keywords:

Required/Optional

Description of Group

Dakota Keyword

Dakota Keyword Description

Required (Choose One)

Predefined Generating Vectors

kuo

A generating vector that provides up to 220 points in up to 3600 dimensions

cools_kuo_nuyens

A generating vector that provides up to 220 points in up to 250 dimensions

Description

Dakota provides two predefined generating vectors:

  • cools_kuo_nuyens (default): generates up to 220 points in up to 250 dimensions [CKN06].

  • kuo: generates up to 220 points in up to 3600 dimensions [Kuoa].

Examples

environment
  tabular_data
    tabular_data_file = 'samples.dat'
    freeform

method
  sampling
    samples 1024
    sample_type
      low_discrepancy
        rank_1_lattice
          generating_vector predefined kuo

variables
  uniform_uncertain = 3
    lower_bounds 0.0 0.0 0.0
    upper_bounds 1.0 1.0 1.0

interface
  analysis_drivers = 'genz'
  analysis_components = 'cp1'
  direct

responses
  response_functions = 1
  no_gradients
  no_hessians