1#@ s1: DakotaConfig=HAVE_ACRO 2#@ s2: DakotaConfig=HAVE_ACRO 3 4environment, 5 method_pointer = 'EPISTEMIC' 6 7################################# 8# begin EPISTEMIC specification # 9################################# 10method, 11 id_method = 'EPISTEMIC' 12 model_pointer = 'EPIST_M' 13 global_interval_est lhs #s0 14# global_interval_est sbo #s1 15 samples = 10 #s0,#s1 16# global_interval_est ea #s2 17# max_iterations = 5 #s2 18 seed = 12347 19 output quiet 20 21model, 22 id_model = 'EPIST_M' 23 nested 24 variables_pointer = 'EPIST_V' 25 sub_method_pointer = 'ALEATORY' 26 responses_pointer = 'EPIST_R' 27 primary_variable_mapping = 'x1' 'x2' 'ModelForm' 28 secondary_variable_mapping = 'mean' 'mean' '' 29 primary_response_mapping = 1. 0. 30 0. 1. 31 32variables, 33 id_variables = 'EPIST_V' 34 continuous_interval_uncertain = 2 35# interval_probs = 1. 1. 36 lower_bounds = -1. -1. 37 upper_bounds = 1. 1. 38 descriptors = 'x1_mean' 'x2_mean' 39 discrete_uncertain_set 40 integer = 1 41# set_probs = .5 .5 42 set_values = 1 2 43 descriptors = 'EpistModelForm' 44 45responses, 46 id_responses = 'EPIST_R' 47 response_functions = 2 48 response_descriptors = 'mean' 'std_dev' 49 no_gradients 50 no_hessians 51 52################################ 53# begin ALEATORY specification # 54################################ 55method, 56 id_method = 'ALEATORY' 57 model_pointer = 'ALEAT_M' 58 polynomial_chaos 59 sparse_grid_level = 2 60 output silent 61 62model, 63 id_model = 'ALEAT_M' 64 single 65 variables_pointer = 'ALEAT_V' 66 interface_pointer = 'ALEAT_I' 67 responses_pointer = 'ALEAT_R' 68 69variables, 70 id_variables = 'ALEAT_V' 71 normal_uncertain = 2 72 means = 0. 0. 73 std_deviations = 1. 1. 74 descriptors 'x1' 'x2' 75 discrete_state_set 76 integer = 1 77 set_values = 1 2 78 descriptors = 'ModelForm' 79 80interface, 81 id_interface = 'ALEAT_I' 82 direct 83 analysis_driver = 'mf_rosenbrock' 84 85responses, 86 id_responses = 'ALEAT_R' 87 response_functions = 1 88 no_gradients 89 no_hessians 90 91