#@ s*: Label=FastTest #@ s*: TimeoutAbsolute=3600 #@ s*: TimeoutDelay=1200 #@ *: DakotaConfig=HAVE_NOWPAC environment, # graphics tabular_data tabular_data_file = 'dakota_tabular_mlmc.dat' method_pointer = 'UQ' ########################## # begin UQ specification # ########################## method, id_method = 'UQ' model_pointer = 'HIERARCH' multilevel_sampling pilot_samples = 100 10 #s0,#s1,#s2 #119 16 # pilot_samples = 100 50 #s3,#s4 #119 16 #final_moments standard max_iterations = 10 #s0,#s1,#s2 # max_iterations = 110 #s3,#s4 seed = 12347 #sample_type random # use MC error estimates fixed_seed allocation_target = mean #s0,#s1,#s2 # allocation_target = variance #s3,#s4 # optimization qoi_aggregation = max convergence_tolerance = 1 #s0 # convergence_tolerance = 0.1 #s1 # convergence_tolerance = 0.01 #s2,#s3 # convergence_tolerance = 0.001 #s4 # convergence_tolerance = 1.389824213484928e-7 #for later use # convergence_tolerance_type = absolute #for later use final_moments central output debug model, id_model = 'HIERARCH' variables_pointer = 'UQ_V' responses_pointer = 'UQ_R' surrogate hierarchical ordered_model_fidelities = 'MLModel' model, id_model = 'MLModel' variables_pointer = 'UQ_V' interface_pointer = 'UQ_I' responses_pointer = 'UQ_R' simulation solution_level_control = 'Ac' #multilevel controlled by stochastic c solution_level_cost = 0.1 1.0 # relative cost of 2DCoarse, 2DFine variables, id_variables = 'UQ_V' continuous_design = 1 initial_point = 2.0 #deterministic f descriptors = 'x' #scale_types = 'none' #scales = 0.1 #continuous_state = 1 # initial_state = 0.0 #deterministic f # descriptors = 'Ac' #scale_types = 'none' #scales = 0.1 uniform_uncertain = 1 lower_bounds = -0.5 upper_bounds = 0.5 descriptors = 'xi' discrete_state_set real = 2 num_set_values = 2 1 initial_state = -4 0.0 #stochastic c set_values = -4 1.0 0.0 descriptors = 'Ac' 'Af' interface, id_interface = 'UQ_I' direct analysis_driver = 'problem18' responses, id_responses = 'UQ_R' response_functions = 2 no_gradients no_hessians