#@ s5: DakotaConfig=HAVE_NPSOL
#@ s0: UserMan=textbook_uq_glob_evidence
# DAKOTA INPUT FILE - dakota_uq_textbook_dste.in
# Dakota Input File: textbook_uq_glob_evidence.in           #s0

environment
  tabular_data
    tabular_data_file = 'textbook_uq_glob_evidence.dat'     #s0

method
  global_evidence lhs                                       #s0,#s1,#s2,#s3
#  global_evidence ego						                          #s4
#  local_evidence  sqp						                          #s5
    samples = 1000                                          #s0,#s1,#s2,#s3
    seed = 59334                                   #s0,#s1,#s2,#s3,#s4
    response_levels = 0.001 0.03 0.2 0.8 0.001 0.2 0.6 0.8
#    compute gen_reliabilities                              #s2,#s3
    probability_levels = 0.25 0.5 0.75 0.25 0.5 0.75		    #s0,#s1,#s4,#s5
#    gen_reliability_levels = -0.25 0. 0.25 -0.25 0. 0.25	  #s2,#s3
    distribution cumulative              			              #s0,#s2,#s4,#s5
#    distribution complementary           			            #s1,#s3
  output verbose

variables
  continuous_interval_uncertain = 2
    num_intervals   = 3 2
    interval_probabilities  = 0.5 0.1 0.4 0.7 0.3
#    lower_bounds    = 0.1 0.5 0.7 0.3 0.5
#    upper_bounds    = 0.5 1.0 1.2 0.5 0.8
    lower_bounds    = 0.6 0.1 0.5 0.3 0.6
    upper_bounds    = 0.9 0.5 1.0 0.5 0.8

interface
  analysis_drivers = 'text_book'
    direct

responses
  response_functions = 2
  no_gradients              #s0,#s1,#s2,#s3,#s4
#  analytic_gradients    	  #s5        
  no_hessians