PSUADE_IO (Note : inputs not true inputs if pdf ~=U)
6 1 60
1 1
  7.1680000000000001e+00
  2.8660000000000001e+00
  3.9279999999999999e+00
  4.2799999999999999e-01
  8.3499999999999996e-01
  1.4999999999999999e-01
  7.9000000000000001e-02
2 1
  1.7100999999999999e+01
  3.4199999999999999e+00
  4.5229999999999997e+00
  4.1499999999999998e-01
  8.8700000000000001e-01
  2.0399999999999999e-01
  9.6000000000000002e-02
3 1
  1.3250999999999999e+01
  2.9750000000000001e+00
  9.3719999999999999e+00
  4.2999999999999999e-01
  6.6700000000000004e-01
  1.0299999999999999e-01
  6.0999999999999999e-02
4 1
  9.8399999999999999e-01
  3.5320000000000000e+00
  1.0734999999999999e+01
  4.2599999999999999e-01
  7.8900000000000003e-01
  2.4500000000000000e-01
  8.8999999999999996e-02
5 1
  8.4879999999999995e+00
  3.1869999999999998e+00
  1.4798000000000000e+01
  3.9200000000000002e-01
  8.1200000000000006e-01
  2.2400000000000000e-01
  8.8999999999999996e-02
6 1
  1.1404999999999999e+01
  4.1349999999999998e+00
  5.4480000000000004e+00
  4.1799999999999998e-01
  8.5399999999999998e-01
  9.8000000000000004e-02
  5.6000000000000001e-02
7 1
  1.7236999999999998e+01
  4.3200000000000003e+00
  1.0455000000000000e+01
  3.8300000000000001e-01
  5.3900000000000003e-01
  1.4599999999999999e-01
  7.0000000000000007e-02
8 1
  7.9070000000000000e+00
  2.6130000000000000e+00
  8.1500000000000004e+00
  4.0899999999999997e-01
  6.3500000000000001e-01
  2.5000000000000000e-01
  9.7000000000000003e-02
9 1
  4.0449999999999999e+00
  4.7560000000000002e+00
  1.2509000000000000e+01
  4.2099999999999999e-01
  8.2199999999999995e-01
  1.4099999999999999e-01
  7.0999999999999994e-02
10 1
  3.3690000000000002e+00
  2.9100000000000001e+00
  6.0010000000000003e+00
  3.8600000000000001e-01
  5.4700000000000004e-01
  2.3300000000000001e-01
  8.4000000000000005e-02
11 1
  1.8878000000000000e+01
  4.7089999999999996e+00
  1.0031000000000001e+01
  4.0200000000000002e-01
  8.4199999999999997e-01
  2.3899999999999999e-01
  1.0500000000000000e-01
12 1
  3.0850000000000000e+00
  2.4150000000000000e+00
  1.4329000000000001e+01
  4.1699999999999998e-01
  7.5700000000000001e-01
  1.7999999999999999e-01
  8.5000000000000006e-02
13 1
  1.0000000000000000e+01
  4.2100000000000000e+00
  1.1680999999999999e+01
  3.9900000000000002e-01
  8.9400000000000002e-01
  1.7699999999999999e-01
  7.0000000000000007e-02
14 1
  3.6730000000000000e+00
  3.2429999999999999e+00
  7.8479999999999999e+00
  4.0100000000000002e-01
  7.3799999999999999e-01
  1.0000000000000001e-01
  5.9999999999999998e-02
15 1
  9.7609999999999992e+00
  2.2839999999999998e+00
  1.2940000000000000e+01
  4.2499999999999999e-01
  5.5300000000000005e-01
  7.3999999999999996e-02
  4.4999999999999998e-02
16 1
  1.1916000000000000e+01
  4.0469999999999997e+00
  1.5000000000000000e+01
  4.0899999999999997e-01
  6.5500000000000003e-01
  1.9400000000000001e-01
  7.6999999999999999e-02
17 1
  1.4379000000000000e+01
  3.9849999999999999e+00
  8.4800000000000004e+00
  4.0000000000000002e-01
  5.0700000000000001e-01
  6.0999999999999999e-02
  3.9000000000000000e-02
18 1
  1.6765000000000001e+01
  2.8239999999999998e+00
  1.1090999999999999e+01
  3.9600000000000002e-01
  8.0900000000000005e-01
  5.5000000000000000e-02
  3.5999999999999997e-02
19 1
  6.3250000000000002e+00
  4.6269999999999998e+00
  4.8910000000000000e+00
  4.1499999999999998e-01
  5.6699999999999995e-01
  5.1999999999999998e-02
  3.5999999999999997e-02
20 1
  1.8260000000000002e+01
  3.5899999999999999e+00
  5.8350000000000000e+00
  3.8500000000000001e-01
  8.2999999999999996e-01
  1.1899999999999999e-01
  6.6000000000000003e-02
21 1
  6.6289999999999996e+00
  3.9540000000000002e+00
  9.2040000000000006e+00
  3.8200000000000001e-01
  7.6500000000000001e-01
  2.0200000000000001e-01
  9.0999999999999998e-02
22 1
  4.7400000000000002e+00
  2.2090000000000001e+00
  1.3265000000000001e+01
  3.8800000000000001e-01
  8.4999999999999998e-01
  1.0800000000000000e-01
  5.6000000000000001e-02
23 1
  1.5260999999999999e+01
  2.0000000000000000e+00
  8.9779999999999998e+00
  4.1599999999999998e-01
  7.7100000000000002e-01
  1.3800000000000001e-01
  7.1999999999999995e-02
24 1
  1.4555000000000000e+01
  3.6869999999999998e+00
  1.3984000000000000e+01
  4.2699999999999999e-01
  8.7500000000000000e-01
  8.7999999999999995e-02
  5.0999999999999997e-02
25 1
  2.8010000000000002e+00
  3.8570000000000002e+00
  3.4620000000000002e+00
  4.2399999999999999e-01
  7.2899999999999998e-01
  7.8000000000000000e-02
  5.0999999999999997e-02
26 1
  1.2390000000000001e+00
  3.3879999999999999e+00
  1.1914000000000000e+01
  3.9600000000000002e-01
  6.4900000000000002e-01
  8.3000000000000004e-02
  4.9000000000000002e-02
27 1
  1.0855000000000000e+01
  3.2989999999999999e+00
  7.0700000000000003e+00
  4.1799999999999998e-01
  5.0200000000000000e-01
  2.2600000000000001e-01
  8.9999999999999997e-02
28 1
  6.0439999999999996e+00
  3.0710000000000002e+00
  9.5489999999999995e+00
  4.0400000000000003e-01
  9.0000000000000002e-01
  1.6400000000000001e-01
  7.0999999999999994e-02
29 1
  1.3907000000000000e+01
  2.3350000000000000e+00
  8.3200000000000003e+00
  3.8400000000000001e-01
  8.6699999999999999e-01
  1.8500000000000000e-01
  8.1000000000000003e-02
30 1
  1.2518000000000001e+01
  4.2169999999999996e+00
  1.1635999999999999e+01
  4.1999999999999998e-01
  5.8199999999999996e-01
  1.2100000000000000e-01
  6.3000000000000000e-02
31 1
  4.8799999999999999e-01
  2.7589999999999999e+00
  9.9860000000000007e+00
  4.1299999999999998e-01
  5.8999999999999997e-01
  1.5100000000000000e-01
  7.1999999999999995e-02
32 1
  9.0480000000000000e+00
  4.9359999999999999e+00
  8.6519999999999992e+00
  4.2799999999999999e-01
  6.1199999999999999e-01
  2.0899999999999999e-01
  8.5000000000000006e-02
33 1
  8.4649999999999999e+00
  5.0000000000000000e+00
  6.4840000000000000e+00
  4.0799999999999997e-01
  8.0100000000000005e-01
  1.2400000000000000e-01
  7.0000000000000007e-02
34 1
  1.5535000000000000e+01
  3.1019999999999999e+00
  3.6040000000000001e+00
  4.1099999999999998e-01
  5.2800000000000002e-01
  1.1100000000000000e-01
  6.6000000000000003e-02
35 1
  2.0539999999999998e+00
  4.8670000000000000e+00
  1.3582000000000001e+01
  4.0400000000000003e-01
  5.2600000000000002e-01
  1.7299999999999999e-01
  6.6000000000000003e-02
36 1
  1.0602000000000000e+01
  3.4590000000000001e+00
  9.7149999999999999e+00
  3.8900000000000001e-01
  7.0099999999999996e-01
  5.0999999999999997e-02
  3.2000000000000001e-02
37 1
  1.3605000000000000e+01
  2.5760000000000001e+00
  1.3900000000000000e+01
  3.9800000000000002e-01
  5.7099999999999995e-01
  2.0599999999999999e-01
  7.4999999999999997e-02
38 1
  1.1609000000000000e+01
  3.0160000000000000e+00
  1.2311999999999999e+01
  3.8000000000000000e-01
  7.2099999999999997e-01
  1.5800000000000000e-01
  7.2999999999999995e-02
39 1
  7.0369999999999999e+00
  2.0230000000000001e+00
  1.0952999999999999e+01
  3.9300000000000002e-01
  5.1800000000000002e-01
  1.2700000000000000e-01
  6.3000000000000000e-02
40 1
  5.6749999999999998e+00
  4.5899999999999999e+00
  1.4429000000000000e+01
  3.8500000000000001e-01
  6.1599999999999999e-01
  9.5000000000000001e-02
  5.0999999999999997e-02
41 1
  1.3042999999999999e+01
  4.8959999999999999e+00
  7.4279999999999999e+00
  3.9100000000000001e-01
  7.8300000000000003e-01
  8.1000000000000003e-02
  4.8000000000000001e-02
42 1
  9.1449999999999996e+00
  2.6690000000000000e+00
  4.1429999999999998e+00
  3.8200000000000001e-01
  6.2800000000000000e-01
  7.0999999999999994e-02
  4.4999999999999998e-02
43 1
  1.9623000000000001e+01
  3.7090000000000001e+00
  7.6660000000000004e+00
  4.2199999999999999e-01
  5.5700000000000005e-01
  1.8300000000000000e-01
  8.3000000000000004e-02
44 1
  2.4710000000000001e+00
  4.3819999999999997e+00
  6.8449999999999998e+00
  3.9400000000000002e-01
  8.6499999999999999e-01
  2.1299999999999999e-01
  1.0299999999999999e-01
45 1
  1.7890999999999998e+01
  2.1410000000000000e+00
  6.7249999999999996e+00
  4.0300000000000002e-01
  6.0699999999999998e-01
  9.1999999999999998e-02
  5.3999999999999999e-02
46 1
  1.2425000000000001e+01
  2.2389999999999999e+00
  3.1840000000000002e+00
  4.0500000000000003e-01
  7.9700000000000004e-01
  2.3999999999999999e-01
  9.0999999999999998e-02
47 1
  1.7539000000000001e+01
  2.7210000000000001e+00
  1.2138000000000000e+01
  4.2299999999999999e-01
  7.3099999999999998e-01
  2.1800000000000000e-01
  9.8000000000000004e-02
48 1
  4.8419999999999996e+00
  4.2830000000000004e+00
  1.1260999999999999e+01
  4.1199999999999998e-01
  6.7700000000000005e-01
  2.3100000000000001e-01
  8.8999999999999996e-02
49 1
  4.4420000000000002e+00
  3.6299999999999999e+00
  3.0009999999999999e+00
  3.9900000000000002e-01
  5.7899999999999996e-01
  1.9100000000000000e-01
  7.9000000000000001e-02
50 1
  1.6414999999999999e+01
  4.5480000000000000e+00
  6.2140000000000004e+00
  4.2499999999999999e-01
  6.3900000000000001e-01
  1.6500000000000001e-01
  8.1000000000000003e-02
51 1
  7.7020000000000000e+00
  3.8010000000000002e+00
  1.0244000000000000e+01
  4.0600000000000003e-01
  7.1499999999999997e-01
  1.1600000000000001e-01
  5.9999999999999998e-02
52 1
  1.5085000000000001e+01
  4.8120000000000003e+00
  3.7500000000000000e+00
  3.8700000000000001e-01
  7.0999999999999996e-01
  2.2200000000000000e-01
  9.4000000000000000e-02
53 1
  1.0304000000000000e+01
  4.4939999999999998e+00
  4.3570000000000002e+00
  3.9700000000000002e-01
  7.4500000000000000e-01
  1.5600000000000000e-01
  7.5999999999999998e-02
54 1
  1.5861000000000001e+01
  3.8239999999999998e+00
  1.2863000000000000e+01
  3.9000000000000001e-01
  6.0099999999999998e-01
  2.4900000000000000e-01
  8.4000000000000005e-02
55 1
  1.8449000000000002e+01
  4.4500000000000002e+00
  1.3327000000000000e+01
  4.1299999999999998e-01
  7.5900000000000001e-01
  6.7000000000000004e-02
  4.3999999999999997e-02
56 1
  5.2839999999999998e+00
  2.0750000000000002e+00
  5.6539999999999999e+00
  4.2099999999999999e-01
  6.8999999999999995e-01
  1.9600000000000001e-01
  9.0999999999999998e-02
57 1
  5.7999999999999996e-01
  4.0810000000000004e+00
  5.2590000000000003e+00
  3.8900000000000001e-01
  6.6300000000000003e-01
  1.3300000000000001e-01
  6.9000000000000006e-02
58 1
  1.9998000000000001e+01
  3.2679999999999998e+00
  1.4725000000000000e+01
  4.0699999999999997e-01
  6.8899999999999995e-01
  1.3300000000000001e-01
  6.6000000000000003e-02
59 1
  1.7589999999999999e+00
  2.5310000000000001e+00
  7.3510000000000000e+00
  4.0999999999999998e-01
  8.8500000000000001e-01
  6.0999999999999999e-02
  4.1000000000000002e-02
60 1
  1.9302000000000000e+01
  2.4809999999999999e+00
  4.9409999999999998e+00
  3.9400000000000002e-01
  6.7600000000000005e-01
  1.7000000000000001e-01
  8.5999999999999993e-02
PSUADE_IO
PSUADE
INPUT
   dimension = 6
   variable 1 t1:P0  =   4.8799999999999999e-01   1.9998000000000001e+01
   variable 2 t2:beta  =   2.0000000000000000e+00   5.0000000000000000e+00
   variable 3 t3:StatWeight  =   3.0009999999999999e+00   1.5000000000000000e+01
   variable 4 t4:ep_g  =   3.8000000000000000e-01   4.2999999999999999e-01
   variable 5 t5:VelfacCoeff  =   5.0200000000000000e-01   9.0000000000000002e-01
   variable 6 x1:InitConc  =   5.0999999999999997e-02   2.5000000000000000e-01
#  PDF <inpNum> N  <mean> <std>
#  PDF <inpNum> L  <logmean> <std>
#  PDF <inpNum> T  <center> <halfbasewidth>
#  PDF <inpNum> B  <alpha> <beta>
#  PDF <inpNum> G  <alpha> <beta>
#  PDF <inpNum> W  <lambda> <K>
#  PDF <inpNum> IG <alpha> <beta>
#  PDF <inpNum> C  <X0> <gamma>
#  PDF <inpNum> E  <lambda>
#  PDF <inpNum> F  <D1> <D2>
#  PDF <inpNum> S  <filename> <index>
#  COR <inpNum> <inpNum> <value>
#  num_fixed = <count>
#  fixed <num> = <value>
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 = 60
   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 = <indexFile>
##==============================================
## rs_index_sample_file - sample for some inputs
#  analyzer rs_index_sample_file = <sampleFile>
##==============================================
## 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
