1#@ s*: Label=FastTest 2 3# DAKOTA Input File: dakota_uq_textbook_sop_lhs.in 4 5# Nested UQ for the textbook test function using discrete parameter study or 6# LHS on the outer loop with LHS on the inner loop. This tests discrete real 7# to continuous nested mappings. 8 9environment, 10 method_pointer = 'PSTUDY' 11 12################################# 13# begin PSTUDY specification # 14################################# 15method, 16 id_method = 'PSTUDY' 17 model_pointer = 'PS_M' 18 vector_parameter_study #s0,#s3,#s4 19 step_vector = 1 1 #s0,#s3 20# step_vector = 10. 10. 1 1 1 1 #s4 21 num_steps = 3 #s0,#s3,#s4 22# centered_parameter_study #s1 23# step_vector = 1 1 #s1 24# steps_per_variable = 2 #s1 25# sampling #s2 26# samples = 10 seed = 12347 #s2 27 28model, 29 id_model = 'PS_M' 30 nested 31 variables_pointer = 'PS_V' 32 sub_method_pointer = 'ALEATORY' 33 responses_pointer = 'PS_R' 34 primary_variable_mapping = 'X1' 'X3' #s0,#s1,#s2,#s3 35 secondary_variable_mapping = 'mean' 'mean' #s0,#s1,#s2 36# secondary_variable_mapping = 'num_trials' 'num_trials' #s3 37# primary_variable_mapping = 'X1' 'X2' 'X5' 'X7' 'X3' 'X4' #s4 38# secondary_variable_mapping = 'mean' 'mean' #s4 39# 'num_trials' 'num_trials' #s4 40# 'mean' 'mean' #s4 41 primary_response_mapping = 1. 0. 0. 0. 0. 0. 0. 0. 42 secondary_response_mapping = 0. 0. 0. 0. 1. 0. 0. 0. 43 0. 0. 0. 0. 0. 0. 0. 1. 44 45variables, 46 id_variables = 'PS_V' 47# continuous_design = 2 #s4 48# initial_point = 20. 20. #s4 49# descriptors = 'X1_mean' 'X2_mean' #s4 50 discrete_design_set #s0,#s1,#s3,#s4 51# integer = 2 #s3,#s4 52# initial_point = 2 12 #s3,#s4 53# set_values = 2 4 6 8 10 #s3,#s4 54# 12 14 16 18 20 #s3,#s4 55# descriptors = 'X1_num_tr' 'X3_num_tr' #s3 56# descriptors = 'X5_num_tr' 'X7_num_tr' #s4 57 real = 2 #s0,#s1,#s4 58 initial_point = 50. 30. #s0,#s4 59# initial_point = 70. 50. #s1 60 set_values = 50. 60. 70. 80. 90. #s0,#s1,#s4 61 30. 40. 50. 60. 70. #s0,#s1,#s4 62 descriptors = 'X1_mean' 'X3_mean' #s0,#s1 63# descriptors = 'X3_mean' 'X4_mean' #s4 64# active all #s2 65# histogram_point real = 2 #s2 66# abscissas = 50. 60. 70. 80. 90. #s2 67# 30. 40. 50. 60. 70. #s2 68# counts = 10 20 30 20 10 #s2 69# 10 20 30 20 10 #s2 70# descriptors = 'X1_mean' 'X3_mean' #s2 71 72responses, 73 id_responses = 'PS_R' 74 objective_functions = 1 75 nonlinear_inequality_constraints = 2 76 response_descriptors = 'mean_f1' 'ccdf_beta_f2' 'ccdf_beta_f3' 77 no_gradients 78 no_hessians 79 80################################ 81# begin ALEATORY specification # 82################################ 83method, 84 id_method = 'ALEATORY' 85 model_pointer = 'ALEAT_M' 86 sampling samples = 50 seed = 12347 87 num_response_levels = 0 1 1 88 response_levels = 10000. 10000. 89 compute reliabilities 90 complementary distribution 91 92model, 93 id_model = 'ALEAT_M' 94 single 95 variables_pointer = 'ALEAT_V' 96 interface_pointer = 'ALEAT_I' 97 responses_pointer = 'ALEAT_R' 98 99variables, 100 id_variables = 'ALEAT_V' 101 normal_uncertain = 4 #s0,#s1,#s2,#s4 102 means = 40. 30. 20. 10. #s0,#s1,#s2,#s4 103 std_deviations = 8. 6. 4. 2. #s0,#s1,#s2,#s4 104 descriptors 'X1' 'X2' 'X3' 'X4' #s0,#s1,#s2,#s4 105# binomial_uncertain = 2 #s3,#s4 106# num_trials = 10 10 #s3,#s4 107# prob_per_trial = .2 .2 #s3,#s4 108# descriptors 'X1' 'X2' #s3 109# descriptors 'X5' 'X6' #s4 110# negative_binomial_uncertain = 2 #s3,#s4 111# num_trials = 20 20 #s3,#s4 112# prob_per_trial = .1 .1 #s3,#s4 113# descriptors 'X3' 'X4' #s3 114# descriptors 'X7' 'X8' #s4 115 116interface, 117 id_interface = 'ALEAT_I' 118 direct 119 analysis_driver = 'text_book' 120 deactivate evaluation_cache restart_file 121 122responses, 123 id_responses = 'ALEAT_R' 124 response_functions = 3 125 no_gradients 126 no_hessians 127