PSUADE_IO (Note : inputs not true inputs if pdf ~=U) 6 1 184 1 1 4.3753599999999997e+00 2.9648300000000001e+00 3.9537000000000000e+00 4.2253000000000002e-01 6.6593000000000002e-01 2.4273000000000000e-01 9.5399999999999999e-02 2 1 1.7049489999999999e+01 2.1819000000000002e+00 5.7441899999999997e+00 4.1021000000000002e-01 5.9130000000000005e-01 2.4573000000000000e-01 9.8199999999999996e-02 3 1 3.8599399999999999e+00 2.8168600000000001e+00 7.0264800000000003e+00 3.8608999999999999e-01 7.0867000000000002e-01 1.2830000000000000e-01 6.5000000000000002e-02 4 1 1.9782190000000000e+01 3.4620199999999999e+00 1.2407389999999999e+01 4.0272000000000002e-01 8.3333000000000002e-01 7.8589999999999993e-02 4.7399999999999998e-02 5 1 1.5718200000000000e+00 2.6620100000000000e+00 1.4194599999999999e+01 4.2820999999999998e-01 7.6419999999999999e-01 9.8360000000000003e-02 5.4199999999999998e-02 6 1 9.3564500000000006e+00 4.8114699999999999e+00 3.1450200000000001e+00 4.2053000000000001e-01 5.9984000000000004e-01 1.0631000000000000e-01 6.4199999999999993e-02 7 1 4.6128600000000004e+00 3.6563900000000000e+00 1.4553750000000001e+01 3.8424000000000003e-01 8.9163000000000003e-01 1.7286000000000001e-01 7.6600000000000001e-02 8 1 8.8919800000000002e+00 2.6950300000000000e+00 1.1246950000000000e+01 3.8749000000000000e-01 7.8459000000000001e-01 1.3553999999999999e-01 6.8599999999999994e-02 9 1 1.5462440000000001e+01 4.5658099999999999e+00 1.4960979999999999e+01 3.9906000000000003e-01 7.5475000000000003e-01 7.5190000000000007e-02 4.2200000000000001e-02 10 1 9.7947500000000005e+00 4.6416800000000000e+00 5.6161799999999999e+00 4.0461000000000003e-01 8.9988999999999997e-01 1.3034000000000001e-01 6.9800000000000001e-02 11 1 1.4360170000000000e+01 3.6999700000000000e+00 1.3969659999999999e+01 4.2616999999999999e-01 6.0851000000000000e-01 8.8840000000000002e-02 4.7399999999999998e-02 12 1 3.5314000000000001e+00 3.1566999999999998e+00 1.1797319999999999e+01 4.2333999999999999e-01 5.8899000000000001e-01 7.3910000000000003e-02 4.5800000000000000e-02 13 1 1.8016310000000001e+01 3.3743400000000001e+00 4.7159800000000001e+00 3.8782000000000000e-01 5.3247999999999995e-01 1.5679000000000001e-01 7.8200000000000006e-02 14 1 3.2014600000000000e+00 3.2441000000000000e+00 9.7291000000000007e+00 3.9859000000000000e-01 8.6516999999999999e-01 1.0689000000000000e-01 6.0199999999999997e-02 15 1 1.1772880000000001e+01 2.1198000000000001e+00 1.2661659999999999e+01 4.1992000000000002e-01 6.8528000000000000e-01 1.3250000000000001e-01 6.8199999999999997e-02 16 1 1.7773289999999999e+01 4.1968699999999997e+00 8.5392299999999999e+00 4.2887999999999998e-01 5.5989999999999995e-01 6.0760000000000002e-02 4.0599999999999997e-02 17 1 1.2139260000000000e+01 3.1806700000000001e+00 1.3448040000000001e+01 3.8005000000000000e-01 7.4228000000000005e-01 1.5407000000000001e-01 7.0599999999999996e-02 18 1 1.0386150000000001e+01 2.2431299999999998e+00 1.3715830000000000e+01 3.9566000000000001e-01 5.2163000000000004e-01 1.7892000000000000e-01 7.0999999999999994e-02 19 1 6.3605200000000002e+00 4.2672600000000003e+00 7.2132199999999997e+00 3.9516000000000001e-01 6.1189000000000004e-01 1.3691000000000000e-01 6.9800000000000001e-02 20 1 1.9273800000000001e+00 4.5943800000000001e+00 4.3593700000000002e+00 4.2546000000000000e-01 5.6867000000000001e-01 1.6664000000000001e-01 8.0199999999999994e-02 21 1 7.9230900000000002e+00 3.3080799999999999e+00 1.3203799999999999e+01 4.0772000000000003e-01 5.6347999999999998e-01 9.4829999999999998e-02 5.4199999999999998e-02 22 1 1.3928010000000000e+01 4.6247100000000003e+00 1.1698670000000000e+01 3.8292999999999999e-01 8.0589999999999995e-01 2.4421999999999999e-01 9.8599999999999993e-02 23 1 2.4321199999999998e+00 4.5535199999999998e+00 1.0297330000000001e+01 4.0645999999999999e-01 6.8274000000000001e-01 2.3874000000000001e-01 8.3400000000000002e-02 24 1 1.0716130000000000e+01 3.0624799999999999e+00 5.4417299999999997e+00 3.8336999999999999e-01 6.2400000000000000e-01 8.3979999999999999e-02 5.0599999999999999e-02 25 1 1.5648140000000000e+01 2.5569099999999998e+00 5.1196700000000002e+00 4.2679000000000000e-01 7.1641999999999995e-01 1.0969000000000000e-01 6.5799999999999997e-02 26 1 1.2822100000000001e+00 3.7080199999999999e+00 8.6126699999999996e+00 4.1604999999999998e-01 7.2426000000000001e-01 1.9842000000000001e-01 8.7800000000000003e-02 27 1 3.0342799999999999e+00 4.3471299999999999e+00 1.3887510000000001e+01 4.2118000000000000e-01 6.5285000000000004e-01 1.8296999999999999e-01 7.5399999999999995e-02 28 1 1.4001740000000000e+01 4.5212199999999996e+00 4.8242399999999996e+00 4.1577999999999998e-01 7.3834999999999995e-01 5.2499999999999998e-02 3.5799999999999998e-02 29 1 6.7343999999999999e+00 2.2735200000000000e+00 3.4971000000000001e+00 4.0838000000000002e-01 8.0222000000000004e-01 1.0245000000000000e-01 6.0199999999999997e-02 30 1 6.7807800000000000e+00 4.1250000000000000e+00 1.3623840000000000e+01 3.8908999999999999e-01 8.1277999999999995e-01 1.1051000000000000e-01 5.7799999999999997e-02 31 1 1.4276730000000001e+01 2.0246599999999999e+00 6.2736400000000003e+00 3.8868999999999998e-01 7.7981999999999996e-01 1.8998000000000001e-01 8.4199999999999997e-02 32 1 1.5903040000000001e+01 3.0782300000000000e+00 1.2285019999999999e+01 4.2771999999999999e-01 5.1532999999999995e-01 2.1873000000000001e-01 8.0199999999999994e-02 33 1 1.7346370000000000e+01 2.8755600000000001e+00 1.4691839999999999e+01 4.1647000000000001e-01 8.3716000000000002e-01 1.2573000000000001e-01 6.6600000000000006e-02 34 1 1.9638529999999999e+01 4.8955000000000002e+00 9.4019600000000008e+00 3.8929999999999998e-01 6.6878000000000004e-01 1.6983999999999999e-01 7.9000000000000001e-02 35 1 1.8600370000000002e+01 4.3215500000000002e+00 3.8066499999999999e+00 4.1145999999999999e-01 7.0089000000000001e-01 1.5196999999999999e-01 7.8600000000000003e-02 36 1 1.0570729999999999e+01 4.9745999999999997e+00 1.0864540000000000e+01 4.2838999999999999e-01 8.5399999999999998e-01 1.5667000000000000e-01 7.8600000000000003e-02 37 1 1.2608599999999999e+01 2.8672300000000002e+00 3.1003300000000000e+00 4.0687000000000001e-01 5.6079000000000001e-01 1.7404000000000000e-01 8.3400000000000002e-02 38 1 4.8779000000000000e-01 3.2936000000000001e+00 6.2156200000000004e+00 3.9058999999999999e-01 6.8923000000000001e-01 2.1226999999999999e-01 7.5800000000000006e-02 39 1 5.1840400000000004e+00 3.0229499999999998e+00 1.1009860000000000e+01 3.9339000000000002e-01 6.7344999999999999e-01 5.8389999999999997e-02 3.5400000000000001e-02 40 1 5.6271000000000004e-01 4.1713199999999997e+00 1.1530630000000000e+01 4.1331000000000001e-01 8.7344999999999995e-01 1.4371999999999999e-01 7.0599999999999996e-02 41 1 2.0852400000000002e+00 2.4765600000000001e+00 1.2020450000000000e+01 4.0521000000000001e-01 7.9257000000000000e-01 2.0469000000000001e-01 8.5800000000000001e-02 42 1 1.0211600000000001e+01 3.8849100000000001e+00 5.0171000000000001e+00 4.1737000000000002e-01 7.8749000000000002e-01 2.4851999999999999e-01 1.0580000000000001e-01 43 1 1.3527860000000000e+01 4.4494699999999998e+00 5.2164999999999999e+00 3.9823999999999998e-01 6.2765000000000004e-01 2.3060000000000000e-01 8.7400000000000005e-02 44 1 7.2142299999999997e+00 5.0000000000000000e+00 5.8918799999999996e+00 3.8150000000000001e-01 7.2131999999999996e-01 1.4799000000000001e-01 7.1400000000000005e-02 45 1 9.9424999999999997e-01 4.9438100000000000e+00 1.3007740000000000e+01 3.9696999999999999e-01 6.1938000000000004e-01 8.2390000000000005e-02 4.7800000000000002e-02 46 1 1.1440099999999999e+01 3.7539099999999999e+00 7.9938200000000004e+00 3.9612000000000003e-01 7.9596000000000000e-01 1.0030000000000000e-01 5.5800000000000002e-02 47 1 9.1445600000000002e+00 3.8073999999999999e+00 7.8412899999999999e+00 3.8053999999999999e-01 5.0414999999999999e-01 2.2778999999999999e-01 7.4200000000000002e-02 48 1 4.1497500000000000e+00 4.5109800000000000e+00 1.1151870000000001e+01 4.0914000000000000e-01 5.1124000000000003e-01 1.2398000000000001e-01 6.1400000000000003e-02 49 1 3.9654799999999999e+00 2.0719200000000000e+00 1.3177610000000000e+01 4.1432000000000002e-01 8.4965999999999997e-01 2.2681999999999999e-01 9.3399999999999997e-02 50 1 6.5213400000000004e+00 3.5932599999999999e+00 1.0780989999999999e+01 3.9956000000000003e-01 5.3683000000000003e-01 2.4981000000000000e-01 8.2199999999999995e-02 51 1 1.6732520000000001e+01 3.2260000000000000e+00 3.5771199999999999e+00 4.2408000000000001e-01 8.6685999999999996e-01 1.9541000000000000e-01 8.4199999999999997e-02 52 1 1.9273340000000001e+01 2.4337300000000002e+00 1.1046180000000000e+01 4.2165999999999998e-01 7.3373999999999995e-01 2.3277999999999999e-01 9.6199999999999994e-02 53 1 8.1213300000000004e+00 3.4182600000000001e+00 1.4074490000000001e+01 3.9633000000000002e-01 8.6058999999999997e-01 2.4146000000000001e-01 9.7400000000000000e-02 54 1 6.9222200000000003e+00 2.7609400000000002e+00 1.2816400000000000e+01 4.1538999999999998e-01 6.3322999999999996e-01 1.5939000000000000e-01 7.0599999999999996e-02 55 1 1.4516480000000000e+01 2.5725500000000001e+00 8.2538000000000000e+00 4.1393999999999997e-01 6.7101000000000000e-01 1.7021000000000000e-01 8.2199999999999995e-02 56 1 1.8430700000000002e+01 2.3027199999999999e+00 1.4329310000000000e+01 3.8403999999999999e-01 6.4051000000000002e-01 2.1134000000000000e-01 8.5000000000000006e-02 57 1 5.4790500000000000e+00 4.7474100000000004e+00 1.2492300000000000e+01 3.8684000000000002e-01 5.5362999999999996e-01 1.9364000000000001e-01 7.1400000000000005e-02 58 1 1.5241479999999999e+01 2.5968100000000001e+00 1.1586580000000000e+01 4.0188000000000001e-01 6.4993999999999996e-01 1.1191000000000000e-01 6.1800000000000001e-02 59 1 9.6537900000000008e+00 2.0000700000000000e+00 9.4370899999999995e+00 4.0622000000000003e-01 7.2916999999999998e-01 7.0370000000000002e-02 4.3400000000000001e-02 60 1 1.3335929999999999e+01 2.3986299999999998e+00 1.2958980000000000e+01 3.9033000000000001e-01 8.7209999999999999e-01 6.2729999999999994e-02 3.6600000000000001e-02 61 1 1.3245609999999999e+01 3.5252400000000002e+00 1.1383459999999999e+01 4.1208000000000000e-01 6.2170999999999998e-01 1.9950000000000001e-01 7.9399999999999998e-02 62 1 1.5002920000000000e+01 4.2313200000000002e+00 4.5770999999999997e+00 3.8572000000000001e-01 8.7766000000000000e-01 2.0587000000000000e-01 8.6999999999999994e-02 63 1 2.7302800000000000e+00 2.5391599999999999e+00 1.4815070000000000e+01 3.9202999999999999e-01 5.4854000000000003e-01 1.5024000000000001e-01 6.3799999999999996e-02 64 1 1.1553910000000000e+01 4.2551100000000002e+00 1.4783329999999999e+01 4.1865000000000002e-01 5.7569000000000004e-01 2.3677000000000001e-01 7.9799999999999996e-02 65 1 1.1046860000000001e+01 2.8239000000000001e+00 1.0387110000000000e+01 4.1708000000000001e-01 5.4000000000000004e-01 6.5129999999999993e-02 4.2999999999999997e-02 66 1 1.3745080000000000e+01 2.0612800000000000e+00 9.6859999999999999e+00 4.2248000000000002e-01 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7.4631000000000003e-01 1.3388000000000000e-01 7.5800000000000006e-02 79 1 1.1856769999999999e+01 4.7001799999999996e+00 6.6798599999999997e+00 3.9105000000000001e-01 5.1846999999999999e-01 6.7449999999999996e-02 4.2200000000000001e-02 80 1 1.2892760000000001e+01 3.4397300000000000e+00 7.8992599999999999e+00 4.2448000000000002e-01 6.5720999999999996e-01 1.3899000000000000e-01 7.6200000000000004e-02 81 1 8.8338300000000007e+00 4.4271000000000003e+00 1.2261020000000000e+01 4.2313000000000001e-01 8.2593000000000005e-01 1.1616000000000000e-01 6.5799999999999997e-02 82 1 1.8935860000000002e+01 4.0606700000000000e+00 1.3534910000000000e+01 4.0550999999999998e-01 5.0090999999999997e-01 1.4008000000000001e-01 6.1400000000000003e-02 83 1 5.6591199999999997e+00 2.4647999999999999e+00 4.4816799999999999e+00 4.1342000000000001e-01 5.0746000000000002e-01 8.1619999999999998e-02 5.2200000000000003e-02 84 1 1.2243410000000001e+01 2.7744200000000001e+00 8.4530200000000004e+00 4.0127000000000002e-01 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7.7341000000000004e-01 2.0319999999999999e-01 9.2200000000000004e-02 97 1 1.9442000000000000e+01 2.7315999999999998e+00 6.0207400000000000e+00 3.9777000000000001e-01 5.5039000000000005e-01 9.8220000000000002e-02 5.7400000000000000e-02 98 1 1.7583870000000001e+01 2.2145600000000001e+00 1.0174379999999999e+01 3.9474999999999999e-01 6.9740000000000002e-01 8.8130000000000000e-02 5.0999999999999997e-02 99 1 5.8838699999999999e+00 3.1113400000000002e+00 7.5662300000000000e+00 4.0066000000000002e-01 7.5961000000000001e-01 1.6814999999999999e-01 7.9799999999999996e-02 100 1 1.6841159999999999e+01 3.9780000000000002e+00 1.2770379999999999e+01 3.9162999999999998e-01 7.1831000000000000e-01 2.2345000000000001e-01 9.0200000000000002e-02 101 1 5.3543900000000004e+00 3.5736400000000001e+00 5.7599600000000004e+00 4.2992000000000002e-01 8.1333999999999995e-01 1.4849000000000001e-01 7.8600000000000003e-02 102 1 1.0030920000000000e+01 3.6073300000000001e+00 1.2091510000000000e+01 3.8505000000000000e-01 6.6210000000000002e-01 5.0360000000000002e-02 3.1800000000000002e-02 103 1 1.5383170000000000e+01 4.9670399999999999e+00 7.3860700000000001e+00 4.1463000000000000e-01 5.4374000000000000e-01 2.1471000000000001e-01 8.4599999999999995e-02 104 1 1.6397950000000002e+01 3.5367199999999999e+00 3.3850500000000001e+00 3.8646000000000003e-01 6.7867999999999995e-01 7.2389999999999996e-02 4.5400000000000003e-02 105 1 1.4667940000000000e+01 3.9439700000000002e+00 9.1903000000000006e+00 3.9304000000000000e-01 5.7811999999999997e-01 1.2978999999999999e-01 6.4199999999999993e-02 106 1 9.8686799999999995e+00 3.2614600000000000e+00 9.0790900000000008e+00 4.0343000000000001e-01 5.9526000000000001e-01 2.0805000000000001e-01 8.0199999999999994e-02 107 1 6.0632299999999999e+00 3.9161700000000002e+00 1.4475440000000001e+01 4.1122999999999998e-01 7.1157000000000004e-01 5.7209999999999997e-02 3.6999999999999998e-02 108 1 1.2787940000000001e+01 4.8663600000000002e+00 1.4285299999999999e+01 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PSUADE_IO PSUADE INPUT dimension = 6 variable 1 t1:P0 = 4.8779000000000000e-01 2.0000219999999999e+01 variable 2 t2:beta = 2.0000000000000000e+00 5.0000000000000000e+00 variable 3 t3:StatWeight = 2.9450900000000000e+00 1.5012000000000000e+01 variable 4 t4:ep_g = 3.8005000000000000e-01 4.2992000000000002e-01 variable 5 t5:VelfacCoeff = 5.0090000000000001e-01 8.9990000000000003e-01 variable 6 x1:InitConc = 5.0360000000000002e-02 2.4981000000000000e-01 # PDF N # PDF L # PDF T
# PDF B # PDF G # PDF W # PDF IG # PDF C # PDF E # PDF F # PDF S # COR # num_fixed = # fixed = END OUTPUT dimension = 1 variable 1 y2:LocFilling END METHOD sampling = MC # sampling = FACT # sampling = LH # sampling = OA # sampling = OALH # sampling = MOAT # sampling = SOBOL # sampling = LPTAU # sampling = METIS # sampling = FAST # sampling = BBD # sampling = PBD # sampling = FF4 # sampling = FF5 # sampling = CCI4 # sampling = CCI5 # sampling = CCIF # sampling = CCF4 # sampling = CCF5 # sampling = CCFF # sampling = CCC4 # sampling = CCC5 # sampling = CCCF # sampling = SFAST # sampling = UMETIS # sampling = GMOAT # sampling = GMETIS # sampling = SPARSEGRID # sampling = LSA # sampling = RFF4 # sampling = RFF5 num_samples = 184 num_replications = 1 num_refinements = 0 refinement_size = 10000000 reference_num_refinements = 0 # refinement_type = adaptive # randomize # randomize_more # an example of settings: input 1 with 3 settings # input_settings 1 3 # 0.0 # 0.5 # 1.0 # random_seed = 2147483647 END APPLICATION driver = NONE opt_driver = NONE aux_opt_driver = NONE ensemble_driver = NONE ensemble_opt_driver = NONE # max_parallel_jobs = 1 # min_job_wait_time = 1 max_job_wait_time = 1000000 # nondeterministic # launch_only # limited_launch_only # gen_inputfile_only # ensemble_run_mode # launch_interval = 1 # save_frequency = 1000000 END ANALYSIS ##********************************************** ## Moment - basic statistics # analyzer method = Moment ##============================================== ## MainEffect - raw data main effect analysis # analyzer method = MainEffect ##============================================== ## TwoParamEffect - raw data pairwise analysis # analyzer method = TwoParamEffect ##============================================== ## ANOVA - analysis of variance # analyzer method = ANOVA ##============================================== ## GLSA - gradient-based sensitivity analysis # analyzer method = GLSA ##============================================== ## RSFA - response surface analysis # analyzer method = RSFA ##============================================== ## MOAT - Morris screening analysis # analyzer method = MOAT ##============================================== ## SOBOL - Sobol' analysis on Sobol' samples # analyzer method = Sobol ##============================================== ## Correlation - classical correlation analysis # analyzer method = Correlation ##============================================== ## Integration - find area under response surface # analyzer method = Integration ##============================================== ## FAST - total sensitivity analysis using FAST samples # analyzer method = FAST ##============================================== ## FF - screening using fractional factorial samples # analyzer method = FF ##============================================== ## PCA - principal component analysis # analyzer method = PCA ##============================================== ## RSMSobol1 - response surface based main effect # analyzer method = RSMSobol1 ##============================================== ## RSMSobol2 - response surface based pairwise effect # analyzer method = RSMSobol2 ##============================================== ## RSMSobolTSI - response surface based total effect # analyzer method = RSMSobolTSI ##============================================== ## RSMSobolG - response surface based group effect # analyzer method = RSMSobolG ##============================================== ## ARSM - adaptive NN-based response surface analysis # analyzer method = ARSMNN ##============================================== ## ARSM - adaptive MARS-based response surface analysis # analyzer method = ARSM ##============================================== ## REL - reliability analysis # analyzer method = REL ##============================================== ## DELTA - Delta test for parameter screening # analyzer method = DELTA ##============================================== ## LSA - local sensitivity analysis # analyzer method = LSA ##********************************************** analyzer output_id = 1 ##********************************************** ##RS: MARS - multivariate adaptive regression analyzer rstype = MARS ##============================================== ##RS: linear - linear regression # analyzer rstype = linear ##============================================== ##RS: quadratic - quadratic regression # analyzer rstype = quadratic ##============================================== ##RS: cubic - third-order polynomial # analyzer rstype = cubic ##============================================== ##RS: quartic - fourth-order polynomial # analyzer rstype = quartic ##============================================== ##RS: selective - selected polynomial order terms # analyzer rstype = selective_regression ##============================================== ##RS: GP1 - Gaussian process by MacKay # analyzer rstype = GP1 ##RS: GP3 - Gaussian process by Tong # analyzer rstype = GP3 ##============================================== ##RS: SVM - support vector machine # analyzer rstype = SVM ##============================================== ##RS: PWL - piecewise linear approximation # analyzer rstype = PWL ##============================================== ##RS: TGP - treed Gaussian process by Lee et al. # analyzer rstype = TGP ##============================================== ##RS: MARSBag - MARS with bagging # analyzer rstype = MARSBag ##============================================== ##RS: sum_of_trees based on repeated bisections # analyzer rstype = sum_of_trees ##============================================== ##RS: Legendre - Legendre polynomial regression # analyzer rstype = Legendre ##============================================== ##RS: user - user provides basis functions # analyzer rstype = user_regression ##============================================== ##RS: sparse_grid - only with special quadrature pts # analyzer rstype = sparse_grid_regression ##============================================== ##RS: Krigining - using 2nd order correlation # analyzer rstype = Kriging ##============================================== ##RS: splines - splines on 2D/3D grid samples # analyzer rstype = splines ##============================================== ##RS: KNN - k-nearest neighbors # analyzer rstype = KNN ##============================================== ##RS: RBF - radial basis function # analyzer rstype = RBF ##============================================== ##RS: ACOSSO - Curt Storlie's ACOSSO # analyzer rstype = Acosso ##============================================== ##RS: BSSANOVA - Curt Storlie's BSSANOVA # analyzer rstype = Bssanova ##============================================== ##RS: psuade_regression - PSUADE's internal function # analyzer rstype = psuade_regression ##============================================== ##RS: RBFBag - RBF with bootstraps # analyzer rstype = RBFBag ##============================================== ##RS: PLS - partial least squares (correlated inputs) # analyzer rstype = PLS ##============================================== ##RS: MRBF - multiple RBF # analyzer rstype = MRBF ##============================================== ##RS: MGP3 - multiple GP3 # analyzer rstype = MGP3 ##============================================== ##RS: MMARS - multiple MARS # analyzer rstype = MMARS ##============================================== ##RS: MTGP - multiple TGP # analyzer rstype = MTGP ##============================================== # analyzer rs_legendre_order = -1 # analyzer rs_mars_num_bases = -1 # analyzer rs_mars_interaction = -1 # analyzer rs_num_mars = -1 # analyzer rs_kriging_mode = -1 # analyzer rs_kriging_tol = -1 # analyzer opt_save_history # analyzer opt_use_history # analyzer regression_wgt_id = -1 # graphics # sample_graphics analyzer threshold = 1.000000e+00 rs_max_pts = 10000 ##============================================== ## rs_constraint - for constrained UA/SA analysis # analyzer rs_constraint = psData indexFile Lbnd Ubnd ##============================================== ## moat_constraint - for constrained MOAT analysis ## analyzer moat_constraint = psData indexFile Lbnd Ubnd ##============================================== ## rs_index_file - use rs but fix some inputs # analyzer rs_index_file = ##============================================== ## rs_index_sample_file - sample for some inputs # analyzer rs_index_sample_file = ##============================================== ## crude - optimize in raw data or rs spaces # optimization method = crude ##============================================== ## minpack - optimize with user provided gradients # optimization method = minpack ##============================================== ## sm - space mapping optimization # optimization method = sm ##============================================== ## mm - manifold mapping optimization # optimization method = mm ##============================================== ## mm - adaptive manifold mapping optimization # optimization method = mm_adaptive ##============================================== ## cobyla: nonlinear inequality-constrained opt # optimization method = cobyla ##============================================== ## bobyqa: bound-constrained optimization # optimization method = bobyqa ##============================================== ## lincoa: linear inequality constrained opt # optimization method = lincoa ##============================================== ## newuoa: unconstrained optimization # optimization method = newuoa ##============================================== ## lbfgs - with derivatives # optimization method = lbfgs ##============================================== ## sce: genetic algorithm-type optimization # optimization method = sce ##============================================== ## moo - multi-objective optimization # optimization method = moo ##============================================== ## ouu - optimization under uncertainty # optimization method = ouu ##============================================== ## ouu_unconstr - ouu with no constraints # optimization method = ouu_unconstr ##============================================== ## ouu_ineq_constr - ouu with inequality constraints # optimization method = ouu_ineq_constr ##============================================== ## ouu_lbfgs - ouu with derivatives # optimization method = ouu_lbfgs ##============================================== ## nomad - mixed integer # optimization method = nomad ##============================================== ## ouu - mixed integer # optimization method = ouu_minlp #*********************************************** # optimization num_local_minima = 0 # optimization use_response_surface # optimization print_level = 0 # optimization num_fmin = 0 # optimization output_id = 0 # optimization max_feval = 10000 # optimization deltax = 1.0e-6 # optimization fmin = not defined # optimization cutoff = not defined # optimization tolerance = not defined # printlevel # file_write matlab # use_input_pdfs # constraint_op_and END END