#@ s*: Label=FastTest
# DAKOTA Input File: dakota_rbdo_short_column_analytic.in
# Optimization under uncertainty using reliability methods within a
# fully-analytic bi-level RBDO approach.  The RBDO problem is the
# "short_column" problem from Kuschel and Rackwitz, 1997.  The
# published soln is (b,h) = (8.668, 25.0) with f = 216.7

method,
	id_method = 'UQ'
	model_pointer = 'UQ_M'
	local_reliability #nip
	  mpp_search no_approx
	  num_response_levels = 0 1		#s0,#s1
	  response_levels = 0.0			#s0,#s1
#	  compute gen_reliabilities		#s1
	  integration second_order
#	  num_probability_levels = 0 1		#s2
#	  probability_levels = .00621		#s2
#	  num_gen_reliability_levels = 0 1	#s3
#	  gen_reliability_levels = 2.5		#s3
	  cumulative distribution

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 = 2
	  initial_point	=   8.64828 25.0
	  descriptors      'b'    'h'
	normal_uncertain = 2
	  means              =  500.0   2000.0
	  std_deviations     =  100.0    400.0
	  descriptors        =   'P'      'M'
	lognormal_uncertain = 1
       	  means             =  5.0
	  std_deviations    =  0.5
	  descriptors       =  'Y'
	uncertain_correlation_matrix =  1   0.5 0
					0.5 1   0
					0   0   1

interface,
	id_interface = 'UQ_I'
  direct
	  analysis_driver = 'short_column'

responses,
	id_responses = 'UQ_R'
	response_functions = 2
	analytic_gradients
	analytic_hessians