1# DAKOTA INPUT FILE - dakota_textbook_lhs_approx.in 2 3environment, 4 method_pointer = 'UQ' 5 6method, 7 id_method = 'UQ' 8 model_pointer = 'UQ_M' 9 sampling 10 samples = 5000 seed = 5 11 sample_type lhs 12 response_levels = 2.e-5 3.e-5 4.e-5 #s0,#s1,#s2,#s3,#s6,#s7 13 14model, 15 id_model = 'UQ_M' 16 surrogate global 17 dace_method_pointer = 'DACE' 18 polynomial quadratic #s0 19# neural_network #s1 20# gaussian_process surfpack #s2,#s4,#s5,#s6,#s7 21# export_model #s2 22# filename_prefix = 'exported_GP' formats = algebraic_file binary_archive #s2 23# mars #s3 24 25# Test 2 with a samples file, free-form or annotated 26# samples_file = 'dakota_uq_textbook_lhs_approx.annotated' #s6 27# samples_file = 'dakota_uq_textbook_lhs_approx.freeform' #s7 28# freeform #s7 29 30variables, 31 lognormal_uncertain = 2 #s0,#s1,#s2,#s3,#s4,#s6,#s7 32 means = 1.0 1.0 #s0,#s1,#s2,#s3,#s4,#s6,#s7 33# std_deviations = 0.5 0.5 # Alternative to err factors 34 error_factors = 1.1 1.1 #s0,#s1,#s2,#s3,#s4,#s6,#s7 35 descriptors = 'TF1ln' 'TF2ln' #s0,#s1,#s2,#s3,#s4,#s6,#s7 36# discrete_uncertain_set integer = 1 #s4 37# set_probs = .1 .2 .4 .2 .1 #s4 38# set_values = 1 2 3 4 5 #s4 39# descriptors = 'ModelForm' #s4 40# histogram_point_uncertain real = 2 #s5 41# num_pairs 7 7 #s5 42# abscissas 0.200 2.166 4.133 6.100 8.067 10.033 12.000 #s5 43# 0.200 2.166 4.133 6.100 8.067 10.033 12.000 #s5 44# counts 1 1 1 1 1 1 1 #s5 45# 1 1 1 1 1 1 1 #s5 46 47responses, 48 response_functions = 1 49 no_gradients 50 no_hessians 51 52######################################### 53# interface truth model and dace method # 54######################################### 55 56method, 57 id_method = 'DACE' 58 model_pointer = 'DACE_M' 59 sampling 60 samples = 2 #s0 61# samples = 20 #s3,#s4,#s5 62 seed = 50 63 sample_type lhs 64 65model, 66 id_model = 'DACE_M' 67 single 68 interface_pointer = 'I1' 69 70interface, 71 id_interface = 'I1' 72 system asynchronous 73 analysis_driver = 'text_book' 74