#@ s*: Label=FastTest
#@ TODO REVIEW: Do all tests need NPSOL?
#@ *: DakotaConfig=HAVE_NPSOL
# DAKOTA Input File: dakota_rbdo_cantilever_analytic2.in
# Fully-analytic bi-level RBDO using the cantilever test function.

method,
	id_method = 'UQ'
	model_pointer = 'UQ_M'
	local_reliability #nip
	  mpp_search no_approx
	  num_response_levels = 0 1 1		#s0,#s1
	  response_levels = 0.0 0.0		#s0,#s1
#	  compute gen_reliabilities		#s1
	  integration second_order
#	  num_probability_levels = 0 1 1	#s2
#	  probability_levels = .00135 .00135	#s2
#	  num_gen_reliability_levels = 0 1 1	#s3
#	  gen_reliability_levels = 3. 3.	#s3
# g functions scaled using deterministic opt. conventions:
# g<=0 is safe/feasible, g>0 is failed/violated.  Therefore,
# we desire complementary cumulative statistics.
	  complementary distribution
	  output verbose

model,
	id_model = 'UQ_M'
	single
	  variables_pointer = 'UQ_V'
	  interface_pointer = 'UQ_I'
	  responses_pointer = 'UQ_R'

variables,
	id_variables = 'UQ_V'
# continuous_design is not required (OUU will augment
# automatically), but it is good form
	continuous_design = 2
	  initial_point	=  2.46277 3.86571
	  descriptors 'w' 't'
	normal_uncertain = 4
	  means             =  40000. 29.E+6 500. 1000.
	  std_deviations    =  2000. 1.45E+6 100. 100.
	  descriptors       =  'R' 'E' 'X' 'Y'

interface,
	id_interface = 'UQ_I'
	direct
	  analysis_driver = 'cantilever'
#	  deactivate evaluation_cache restart_file

responses,
	id_responses = 'UQ_R'
	response_functions = 3
	analytic_gradients
	analytic_hessians