#@ On Windows: File IO/performance issue?
#@ *: DakotaConfig=UNIX
#@ s2: TimeoutAbsolute=2400
#@ s2: TimeoutDelay=1200

# DAKOTA INPUT FILE - dakota_rosenbrock_importance.in
# This file tests the importance sampling capabilities based on LHS. 
# It is may be integrated into another rosenbrock file but for now 
# it is cleanest to have a simple, standalone file. 
# In the current version of the test, all of the different 
# importance_sampling versions (import, adapt_import, and mm_adapt_import) 
# start with 250 samples ("initial_samples = 250"). 
# Then, more samples are added based on the three types of importance sampling.  
# Each time samples are added, 100 samples are added around certain points 
# of interest ("refinement_samples = 100"). 
# In mm_adapt_sampling, 100 points are added around multiple points of interest 
# and the process keeps iteratively updating until it converges, which is why 
# it takes so long. 
# NOTE:  to keep computational costs down, we could add "max_iterations = 5" 
# in the method block for adapt_import and mm_adapt_import.

environment,
	  tabular_data

method,
  importance_sampling
	  import                                   #s0,#s3,#s4
#	  adapt_import                             #s1
#	  mm_adapt_import                          #s2
	  response_levels = 0.5 5 50 500 
	 #response_levels = 3.0  
    initial_samples = 250
	  refinement_samples = 100
	  seed = 5639
    output quiet 

variables,
#       uniform_uncertain = 2                     #s3
#         lower_bounds   -2.0 -2.0                #s3
#         upper_bounds    2.0  2.0                #s3
#       beta_uncertain  = 1                       #s4
#         alphas = 0.5                            #s4
#         betas = 2.0                             #s4
#         lower_bounds = 0.0                      #s4      
#         upper_bounds = 1.0                      #s4
#         descriptors  'x1'                       #s4
#       exponential_uncertain = 1                 #s4
#         betas = 3.0                             #s4
#         descriptors 'x2'                        #s4
        normal_uncertain = 2                      #s0,#s1,#s2
         means = 0. 0.                            #s0,#s1,#s2
         std_deviations = 1. 1.                   #s0,#s1,#s2
	 descriptors     'x1' 'x2'                #s0,#s1,#s2,#s3

interface,
        direct	
	  analysis_driver = 'rosenbrock'

responses,
	response_functions = 1 
	no_gradients
	no_hessians