1#@ s1: DakotaConfig=HAVE_ACRO
2#@ s2: DakotaConfig=HAVE_ACRO
3#@ s3: DakotaConfig=HAVE_ACRO
4#@ s4: DakotaConfig=HAVE_ACRO
5#@ s5: DakotaConfig=HAVE_ACRO
6
7environment,
8	  method_pointer = 'EPISTEMIC'
9
10#################################
11# begin EPISTEMIC specification #
12#################################
13method,
14	id_method = 'EPISTEMIC'
15	model_pointer = 'EPIST_M'
16	global_interval_est lhs					#s0
17#	global_interval_est sbo					#s1,#s2,#s3,#s4
18	  samples = 10						#s0,#s1,#s2,#s3,#s4
19#	  max_iterations = 10					#s1,#s2,#s3,#s4
20#	global_interval_est ea					#s5
21#	  max_iterations = 5					#s5
22	  seed = 12347
23	  output quiet
24
25model,
26	id_model = 'EPIST_M'
27	nested
28	  variables_pointer  = 'EPIST_V'
29	  sub_method_pointer = 'ALEATORY'
30	  responses_pointer  = 'EPIST_R'
31	  primary_variable_mapping   = 'P'    'M'    'Y'    'ModelForm'
32	  secondary_variable_mapping = 'mean' 'mean' 'mean' ''
33#	  primary_response_mapping   = 0. 0. 1.
34	  primary_response_mapping   = 1. 0. 0.
35	  			       0. 1. 0.
36
37variables,
38	id_variables = 'EPIST_V'
39	continuous_interval_uncertain = 3
40	  lower_bounds = 400 1750 4
41	  upper_bounds = 600 2250 6
42	  descriptors = 'P_mean' 'M_mean' 'Y_mean'
43	discrete_uncertain_set
44	  integer = 1
45	    set_values =  1   2   3   4
46#	    set_values =  1   2   4         # model 3 has most nonlinear discrep
47#	    set_values =  1   2		  # models 1,2 are most similar
48	    descriptors = 'EpistModelForm'
49
50responses,
51	id_responses = 'EPIST_R'
52	response_functions = 2
53	response_descriptors = 'mean_limit' 'std_dev_limit'
54#	response_functions = 1
55#	response_descriptors = 'cdf_beta'
56	no_gradients
57	no_hessians
58
59################################
60# begin ALEATORY specification #
61################################
62method,
63	id_method = 'ALEATORY'
64	model_pointer = 'ALEAT_M'
65	polynomial_chaos askey			#s0,#s1,#s5
66#	polynomial_chaos 			#s2
67#	stoch_collocation askey			#s3
68#	stoch_collocation 			#s4
69	  sparse_grid_level = 2
70#	  num_response_levels = 0 1
71	  response_levels = 0.0
72          compute reliabilities
73          cumulative distribution
74	  output silent
75
76model,
77	id_model = 'ALEAT_M'
78	single
79	  variables_pointer = 'ALEAT_V'
80	  interface_pointer = 'ALEAT_I'
81	  responses_pointer = 'ALEAT_R'
82
83variables,
84	id_variables = 'ALEAT_V'
85	normal_uncertain = 2
86	  means             =  500.0   2000.0
87	  std_deviations    =  100.0    400.0
88	  descriptors       =   'P'      'M'
89	lognormal_uncertain = 1
90       	  means             =  5.0
91	  std_deviations    =  0.5
92	  descriptors       =  'Y'
93        uniform_uncertain = 2
94	  lower_bounds      5.    15.
95	  upper_bounds     15.    25.
96          descriptors      'b'    'h'
97	uncertain_correlation_matrix =  1   0.5 0 0 0
98					0.5 1   0 0 0
99					0   0   1 0 0
100					0   0   0 1 0
101					0   0   0 0 1
102	discrete_state_set
103	  integer = 1
104	    set_values     = 1   2   3   4
105	    descriptors    = 'ModelForm'
106
107interface,
108	id_interface = 'ALEAT_I'
109	direct
110	  analysis_driver = 'mf_short_column'
111#	  deactivate evaluation_cache restart_file
112
113responses,
114	id_responses = 'ALEAT_R'
115#	response_descriptors = 'area' 'limit_state'
116#	response_functions = 2
117	response_descriptors = 'limit_state'
118	response_functions = 1
119	no_gradients
120	no_hessians
121
122