#@ *: Label=Experimental #@ p0: MPIProcs=3 #@ p1: MPIProcs=3 #@ p2: MPIProcs=3 #@ p3: MPIProcs=3 #@ p4: MPIProcs=3 #@ p5: MPIProcs=3 #@ p6: MPIProcs=3 #@ p7: MPIProcs=3 #@ p8: MPIProcs=3 #@ p9: MPIProcs=3 #@ p10: MPIProcs=1 #@ p11: MPIProcs=1 #@ p12: MPIProcs=1 #@ e10: MPIProcs=3 #@ e11: MPIProcs=3 #@ e12: MPIProcs=3 #@ p13: MPIProcs=3 #@ p14: MPIProcs=3 #@ e15: MPIProcs=3 #@ e16: MPIProcs=3 #@ p15: MPIProcs=3 #@ p16: MPIProcs=2 #@ p17: MPIProcs=2 #@ p18: MPIProcs=2 #@ p19: MPIProcs=2 #@ p20: MPIProcs=2 #@ p21: MPIProcs=2 #@ p22: MPIProcs=2 # DAKOTA INPUT FILE - dakota_uq_subspace.in # Contains regression tests for using model subspace # with several methods ## BMA, 20170920: Tests p12, p13, p14 hang in MPI on RHEL7 with no graceful ## termination. For now, marked with fNUM and shifted other test numbers down. ## ## MSE, 10/15/2020: previously removed tests f12,13,14 now running and promoted ## to p10,11,12, partially replacing new failures demoted to e10,11,12,15,16 environment output_precision = 16 method_pointer = 'ID_METHOD' method, id_method = 'ID_METHOD' sampling #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s17,#s18,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#p13,#p14,#s21,#s22,#p15,#s23,#p16,#s24,#p17,#s25,#p18,#s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 model_pointer = 'SUBSPACE' #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s17,#s18,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#p13,#p14,#s21,#s22,#p15,#s23,#p16,#s24,#p17,#s25,#p18,#s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 seed = 24620 #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s17,#s18,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#p13,#p14,#s21,#s22,#p15,#s23,#p16,#s24,#p17,#s25,#p18,#s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 samples = 100 #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s17,#s18,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#p13,#p14,#s21,#s22,#p15,#s23,#p16,#s24,#p17,#s25,#p18,#s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 sample_type random #s0,#s1,#s2,#s3,#s4,#s8,#s9,#s17,#p0,#p1,#p2,#p3,#p4,#p8,#p9,#p13,#s22,#p15,#s23,#p16,#s24,#p17,#s25,#p18,#s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 # sample_type lhs #s5,#s6,#s7,#s18,#p5,#p6,#p7,#p14 # refinement_samples = 100 #s6,#s8,#p6,#p8 # refinement_samples = 100 200 #s7,#s9,#p7,#p9 # polynomial_chaos #s10,#s11,#s12,#s13,#s14,#s15,#e10,#e11,#p10,#p11,#p12,#e12,#s19,#e15 # polynomial_chaos askey #s20,#e16 # model_pointer = 'SUBSPACE' #s10,#s11,#s12,#s13,#s14,#s15,#e10,#e11,#p10,#p11,#p12,#e12,#s19,#e15,#s20,#e16 # sparse_grid_level = 3 #s13,#p11 # quadrature_order = 2 #s14,#p12 # expansion_order = 6 #s10,#s11,#s12,#e10,#e11,#p10,#s19,#e15 # orthogonal_least_interpolation #s15,#e12 # collocation_ratio = 0.5 #s12,#p10,#s19,#e15 # collocation_points = 100 #s10,#s11,#s15,#e10,#e11,#e12 # omp #s10,#s11,#s12,#e10,#e11,#p10,#s19,#e15 # basis_type #s10,#s11,#s12,#e10,#e11,#p10,#s19,#e15 # adapted #s10,#s11,#s12,#e10,#e11,#p10,#s19,#e15 # seed = 1234567 #s10,#s11,#s12,#s13,#s14,#s15,#e10,#e11,#p10,#p11,#p12,#e12,#s19,#e15 # local_reliability #s16 # model_pointer = 'SUBSPACE' #s16 # expansion_order = 5 #s20,#e16 # collocation_points = 120 #s20,#e16 # omp #s20,#e16 # samples_on_emulator = 10000 #s20,#e16 # seed = 12347 #s20,#e16 # #s20,#e16 # sample_type lhs #s20,#e16 # response_levels = .4 .5 .55 .6 .65 .7 #s20,#e16 # .75 .8 .85 .9 1. 1.05 1.15 1.2 1.25 1.3 #s20,#e16 # 1.35 1.4 1.5 1.55 1.6 1.65 1.7 1.75 #s20,#e16 # variance_based_decomp #s20,#e16 model active_subspace id_model = 'SUBSPACE' actual_model_pointer = 'FULLSPACE' initial_samples 100 #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s10,#s11,#s12,#s13,#s14,#s15,#s16,#s17,#s18,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#e10,#e11,#p10,#p11,#p12,#e12,#p13,#p14,#s19,#e15,#s20,#e16,#s21,#s22,#p15,#s23,#p16,#s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 # initial_samples 30 #s24,#p17,#s25,#p18 # sample_type lhs #s25,#p18 # truncation_method bing_li #s1,#p1 # truncation_method constantine #s2,#s11,#s12,#s13,#s14,#s15,#s16,#s18,#p2,#e11,#p10,#p11,#p12,#e12,#p14,#s20,#e16,#s21,#s22,#p15,#s23,#p16,#s24,#p17,#s25,#p18 # truncation_method #s17,#p13 # energy #s17,#p13 # truncation_tolerance 1e-6 #s17,#p13 # dimension 5 #s3,#p3,#s19,#e15 # bootstrap_samples 150 #s4,#p4 # dimension 6 #s10,#e10 # build_surrogate #s22,#p15,#s23,#p16,#s24,#p17,#s25,#p18 # refinement_samples 10 #s23,#p16 # normalization mean_value #s28,#p21 # normalization mean_gradient #s27,#p20 # normalization local_gradient #s29,#p22 model single id_model = 'FULLSPACE' variables_pointer = 'ID_V' interface_pointer = 'ID_I' responses_pointer = 'ID_R' variables, id_variables = 'ID_V' normal_uncertain = 100 #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s11,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#e11 means = 100*0.5 #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s11,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#e11 std_deviations = 100*0.2 #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s11,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#e11 # normal_uncertain = 10 #s12,#s13,#s14,#s15,#s16,#s17,#p10,#p11,#p12,#e12,#p13,#s20,#e16,#s22,#p15,#s23,#p16,#s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 # means = 10*0.5 #s12,#s13,#s14,#s15,#s16,#s17,#p10,#p11,#p12,#e12,#p13,#s20,#e16,#s22,#p15,#s23,#p16,#s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 # std_deviations = 10*0.2 #s12,#s13,#s14,#s15,#s16,#s17,#p10,#p11,#p12,#e12,#p13,#s20,#e16,#s22,#p15,#s23,#p16,#s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 # normal_uncertain = 7 #s24,#p17,#s25,#p18 # means = 7*0.5 #s24,#p17,#s25,#p18 # std_deviations = 7*0.2 #s24,#p17,#s25,#p18 # normal_uncertain = 15 #s10,#e10 # means = 15*0. #s10,#e10 # std_deviations = 15*1. #s10,#e10 # discrete_state_set #s10,#e10 # integer = 1 #s10,#e10 # initial_state = 20 #s10,#e10 # set_values = 20 #s10,#e10 # descriptors = 'mesh_size' #s10,#e10 # real = 4 #s10,#e10 # elements_per_variable = 2 2 1 1 #s10,#e10 # set_values = 0.1 1 #s10,#e10 # 0.5 4 #s10,#e10 # 1 #s10,#e10 # 0.2 #s10,#e10 # descriptors = 'field_mean' 'field_std_dev' 'kernel_order' 'kernel_length' #s10,#e10 # initial_state = 0.1 0.5 1 0.2 #s10,#e10 # string = 2 #s10,#e10 # elements_per_variable = 2 2 #s10,#e10 # initial_state = 'exponential' 'on' #s10,#e10 # set_values = 'cosine' 'exponential' #s10,#e10 # 'off' 'on' #s10,#e10 # descriptors = 'kernel_type' 'positivity' #s10,#e10 # uniform_uncertain = 100 #s18,#p14 # lower_bounds = 100*0.2 #s18,#p14 # upper_bounds = 100*0.7 #s18,#p14 # normal_uncertain = 5 #s19,#e15 # means = 5*0.5 #s19,#e15 # std_deviations = 5*0.2 #s19,#e15 # uncertain_correlation_matrix = #s19,#e15 # 1.00 0.00 0.00 0.00 0.00 #s19,#e15 # 0.00 1.00 0.50 0.24 0.78 #s19,#e15 # 0.00 0.50 1.00 0.00 0.20 #s19,#e15 # 0.00 0.24 0.00 1.00 0.49 #s19,#e15 # 0.00 0.78 0.20 0.49 1.0 #s19,#e15 # uniform_uncertain = 2 #s21 # lower_bounds = 2*-1 #s21 # upper_bounds = 2*1 #s21 # normal_uncertain = 5 #s21 # means = 5*0.5 #s21 # std_deviations = 5*0.2 #s21 interface, id_interface = 'ID_I' direct analysis_driver = 'aniso_quad_form' #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s11,#s12,#s13,#s14,#s15,#s16,#s17,#s18,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#e11,#p10,#p11,#p12,#e12,#p13,#p14,#s19,#e15,#s20,#e16,#s21,#s22,#p15,#s23,#p16,#s24,#p17,#s25,#p18 analysis_components = 'seed:61043' 'eigenvals: 302.56 134.2 53.9 5.8 2.1' #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s11,#s12,#s13,#s14,#s15,#s16,#s17,#s18,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#e11,#p10,#p11,#p12,#e12,#p13,#p14,#s19,#e15,#s20,#e16,#s21,#s24,#p17,#s25,#p18 # analysis_components = 'seed:61043' 'eigenvals: 100e2 90e2 80e2 10e1 5e1 3e1 1e1 5e0 3e0 1e0' #s22,#p15,#s23,#p16 # analysis_driver = 'steady_state_diffusion_1d' #s10,#e10 # analysis_driver = 'text_book' #s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 responses, id_responses = 'ID_R' num_response_functions = 1 #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s11,#s12,#s13,#s14,#s15,#s16,#s17,#s18,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#e11,#p10,#p11,#p12,#e12,#p13,#p14,#s19,#e15,#s20,#e16,#s21,#s22,#p15,#s23,#p16,#s24,#p17,#s25,#p18,#s10,#e10 # num_response_functions = 3 #s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 analytic_gradients #s0,#s1,#s2,#s3,#s4,#s5,#s6,#s7,#s8,#s9,#s11,#s12,#s13,#s14,#s15,#s16,#s17,#s18,#p0,#p1,#p2,#p3,#p4,#p5,#p6,#p7,#p8,#p9,#e11,#p10,#p11,#p12,#e12,#p13,#p14,#s19,#e15,#s20,#e16,#s21,#s22,#p15,#s23,#p16,#s24,#p17,#s25,#p18,#s26,#s27,#s28,#p19,#p20,#p21,#s29,#p22 # numerical_gradients #s10,#e10 no_hessians