PSUADE_IO (Note : inputs not true inputs if pdf ~=U)
9 6 48
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 6.1200400000000002e+001
 2.9154880000000003e+002
 3.3144201400000002e+005
 3.3824999999999998e+000
 3.5274919999999997e+002
46 1
-1.9161160000000000e+008
-4.9284500000000000e+008
-3.2709240000000000e+008
-6.9024360000000000e+008
 2.8285860000000000e+001
-7.7770690000000004e+003
 3.8638200000000000e+000
 3.1817000000000001e-001
-1.3504860000000001e+003
 8.9999600000000001e+001
 6.0899900000000002e+001
 2.9187220000000002e+002
 3.2561056699999998e+005
 3.3228000000000000e+000
 3.5277210000000002e+002
47 1
-1.9135640000000000e+008
-4.9295570000000000e+008
-3.3047100000000000e+008
-6.9530800000000000e+008
 2.9087920000000000e+001
-7.8859260000000004e+003
 4.5694400000000002e+000
 7.4889000000000001e+000
-3.2569330000000000e+003
 8.9999200000000002e+001
 6.1462899999999998e+001
 2.9131979999999999e+002
 3.3972648300000001e+005
 3.4668000000000001e+000
 3.5278269999999998e+002
48 1
-1.9158300000000000e+008
-4.9276530000000000e+008
-3.3097980000000000e+008
-6.8904280000000000e+008
 2.8992090000000001e+001
-7.8970290000000005e+003
 2.9903499999999998e+000
 6.0444199999999997e+000
-2.9000500000000002e+003
 8.9999600000000001e+001
 5.9344499999999996e+001
 2.9313450000000000e+002
 3.6861499099999998e+005
 3.7648000000000001e+000
 3.5247910000000002e+002
PSUADE_IO
PSUADE
INPUT
   dimension = 9
   variable 1 VLE1  = -1.9163850000000000e+008 -1.8973420000000000e+008
   variable 2 VLE2  = -4.9375610000000000e+008 -4.9076010000000000e+008
   variable 3 VLE3  = -3.3578480000000000e+008 -3.2342380000000000e+008
   variable 4 VLE4  = -6.9856550000000000e+008 -6.8124170000000000e+008
   variable 5 VLE5  =  2.7947150000000001e+001  3.0100149999999999e+001
   variable 6 VLE6  = -8.1231139999999996e+003 -7.5511650000000000e+003
   variable 7 VLE7  =  2.3109299999999999e+000  4.6937699999999998e+000
   variable 8 VLE8  =  3.1817000000000001e-001  7.4889000000000001e+000
   variable 9 VLE9  = -3.3640949999999998e+003 -1.0639839999999999e+003
#  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 = 6
   variable 1 CO2CAPTURE
   variable 2 CO2OUT1
   variable 3 CO2OUT2
   variable 4 REB_DUTY
   variable 5 SRD
   variable 6 TOTALCAP
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 = 48
   num_replications = 1
   num_refinements = 0
   refinement_size = 10000000
   reference_num_refinements = 0
#  refinement_type = adaptive
#  randomize
#  randomize_more
#  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: 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
##**********************************************
#  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+000
   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
##==============================================
## 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
##==============================================
##  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
#***********************************************
#  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_config_file = NONE
#  use_input_pdfs
#  constraint_op_and
END
END
