PSUADE
INPUT
   dimension = 5
   variable 1 t1:P_0  =   4.8779439400000002e-01   2.0000224679999999e+01
   variable 2 t2:beta  =   2.0000728950000002e+00   5.0000000000000000e+00
   variable 3 t3:StatWeight  =   2.9636698739999998e+00   2.0007980220000000e+01
   variable 4 t4:ep_gstar  =   3.5015843499999999e-01   4.9974982499999998e-01
   variable 5 t5:VelfacCoeff  =   5.0113757199999998e-01   9.9986000399999997e-01
END
OUTPUT
   dimension = 1
   variable 1 Y1
END
METHOD
   sampling = LPTAU
   num_samples = 50
END
APPLICATION
   driver = ./evalRSM_GPM10
   opt_driver = ./evalRSM_GPM10
END
ANALYSIS
   analyzer output_id  = 1
#  analyzer rstype = MARS
## bobyqa: bound-constrained optimization
   optimization method = bobyqa
   optimization num_local_minima = 10
#  optimization print_level = 0
#  optimization num_fmin = 0
#  optimization output_id = 0
   optimization max_feval = 10000
   optimization deltax = 1.0e-6
END
END
