1#@ s*: Label=FastTest 2#@ *: DakotaConfig=HAVE_QUESO 3 4# The analysis_driver 'bayes_linear' is an analytic 5# test function that equals the sum of the input 6# variables. That is, the response Y = sum(X1:Xd), 7# where d is the number of inputs. Brian Williams 8# has several examples assuming different types of 9# distributions on the inputs and different measurement 10# errors in pages 93-102 and Appendix A of the CASL Report 11# "User Guidelines and Best Practices for CASL VUQ 12# Analysis using Dakota." CASL-U-2014-0038-00. 13# By Brian Adams et al. 14 15 16environment 17 tabular_data 18 19method, 20 bayes_calibration queso 21 dram 22 seed = 34785 23 chain_samples = 1000 24 calibrate_error_multipliers one 25 #hyperprior_alphas = 1000.0 #s2,#s3 26 #hyperprior_betas = 1.0 #s2,#s3 27 # TODO: debug negative information gain on test s3 28 posterior_stats kl_divergence #s0,#s1,#s2 29 #output debug 30 31variables, 32 uniform_uncertain = 1 #s0,#s2 33# uniform_uncertain = 5 #s3 34 upper_bounds 0.6 #s0,#s2 35 lower_bounds 0.1 #s0,#s2 36# upper_bounds 0.6 0.6 0.6 0.6 0.6 #s3 37# lower_bounds 0.1 0.1 0.1 0.1 0.1 #s3 38# normal_uncertain = 1 #s1 39# means = 0.6 #s1 40# std_deviation = 0.1 #s1 41 42interface, 43 direct 44 analysis_driver = 'bayes_linear' # This is a test function based on B. William's linear verification tests. 45 46responses, 47 calibration_terms = 1 48 calibration_data_file = 'dakota_bayes_linear.1.dat' #s0,#s1 49# calibration_data_file = 'dakota_bayes_linear.2.dat' #s2 50# calibration_data_file = 'dakota_bayes_linear.5.dat' #s3 51 freeform 52 num_experiments = 100 53 variance_type = 'scalar' 54 no_gradients 55 no_hessians 56 57