method,
  sampling
    model_pointer = 'SUBSPACE'
    samples = 100 seed = 1234567

model
  id_model = 'SUBSPACE'
  adapted_basis
    actual_model_pointer = 'FULLSPACE'
    sparse_grid_level = 1	#s0,#s1,#s2,#s3
#   expansion_order = 1		#s4
#   collocation_ratio = 2.	#s4
#   dimension = 1		#s1,#s4
#   dimension = 2		#s2
#   dimension = 3		#s3

model
  single
  id_model = 'FULLSPACE'
    variables_pointer = 'ID_V'
    interface_pointer = 'ID_I'
    responses_pointer = 'ID_R'

variables,
  id_variables = 'ID_V'
  normal_uncertain = 15
    means = 15*0.
    std_deviations = 15*1.
#  discrete_state_set
#    integer = 1
#      initial_state = 20
#      set_values = 20
#      descriptors = 'mesh_size'
#    real = 4
#      elements_per_variable = 2 2 1 1
#      set_values = 0.1 1
#                   0.5 4
#                   1
#                   0.2
#      descriptors = 'field_mean' 'field_std_dev' 'kernel_order' 'kernel_length'
#      initial_state = 0.1 0.5 1 0.2
#    string = 2
#      elements_per_variable = 2 2
#      initial_state = 'exponential' 'on'
#      set_values = 'cosine' 'exponential'
#                   'off' 'on'
#      descriptors = 'kernel_type' 'positivity'

interface,
  id_interface = 'ID_I'
  direct
   analysis_driver = 'steady_state_diffusion_1d'

responses,
  id_responses = 'ID_R'
  num_response_functions = 1
  no_gradients
  no_hessians