#@ s5: UserMan=logratio_uq_reliability
#@ [taxonomy:start]
#@ s5: [analysis:UQ]
#@ s5: [method:Reliability]
#@ s5: [goal:FailureProbabilities]
#@ s5: [variable:Continuous]
#@ s5: [model:Smooth]
#@ [taxonomy:end]

# DAKOTA INPUT FILE : dakota_logratio.in
## Dakota Input File: logratio_uq_reliability.in                        #s5

# This file covers a test matrix of reliability index approach (RIA)
# CDF mappings from response_levels to probability_levels and
# performance measure approach (PMA) CDF mappings from these
# probability_levels back to the original response_levels for six
# different MPP search specifications:
# (1) no MPP search (MV)
# (2) MPP search with a single linearization in x at the means (AMV)
# (3) MPP search with a single linearization in u at the means (transformed AMV)
# (4) MPP search with relinearizations in x (AMV+)
# (5) MPP search with relinearizations in u (transformed AMV+)
# (6) MPP search with no linearizations     (traditional FORM)

environment

method
  local_reliability
#    mpp_search x_taylor_mean			#s1,#s7,#s13
#    mpp_search u_taylor_mean			#s2,#s8,#s14
#    mpp_search x_taylor_mpp			#s3,#s9,#s15
#    mpp_search u_taylor_mpp			#s4,#s10,#s16
#    mpp_search x_two_point
#    mpp_search u_two_point
#    mpp_search no_approx         #s5,#s11,#s17
#    nip
    response_levels = .4 .5 .55 .6 .65 .7         #s0,#s1,#s2,#s3,#s4,#s5
     .75 .8 .85 .9 1. 1.05 1.15 1.2 1.25 1.3	    #s0,#s1,#s2,#s3,#s4,#s5
     1.35 1.4 1.5 1.55 1.6 1.65 1.7 1.75		      #s0,#s1,#s2,#s3,#s4,#s5
#    probability_levels =     .047624085968	      #s6,#s7,#s8,#s9,#s10,#s11
#     .10346525476 .13818404972 .17616275822	    #s6,#s7,#s8,#s9,#s10,#s11
#     .21641741368 .25803428383 .30020938126	    #s6,#s7,#s8,#s9,#s10,#s11
#     .34226491011 .38365052981 .42393548231	    #s6,#s7,#s8,#s9,#s10,#s11
#     .50000004094 .53539344223 .60043460095	    #s6,#s7,#s8,#s9,#s10,#s11
#     .63004131818 .65773508977 .68356844621	    #s6,#s7,#s8,#s9,#s10,#s11
#     .70761025526 .72994058685 .76981945354	    #s6,#s7,#s8,#s9,#s10,#s11
#     .78755158265 .80393505578 .81906005155	    #s6,#s7,#s8,#s9,#s10,#s11
#     .83301386856 .84588021936			              #s6,#s7,#s8,#s9,#s10,#s11
#    reliability_levels =      1.6683404033       #s12,#s13,#s14,#s15,#s16,#s17
#     1.2620507942 1.0885143628 .93008801345      #s12,#s13,#s14,#s15,#s16,#s17
#     .78434989948 .64941748150 .52379840557      #s12,#s13,#s14,#s15,#s16,#s17
#     .40628960784 .29590705955 .19183562477      #s12,#s13,#s14,#s15,#s16,#s17
#     6.537914e-11 -.088834907192 -.25447217467   #s12,#s13,#s14,#s15,#s16,#s17
#     -.33196278074 -.40628960778 -.47770089470   #s12,#s13,#s14,#s15,#s16,#s17
#     -.54641676376 -.61263331265 -.73825238871   #s12,#s13,#s14,#s15,#s16,#s17
#     -.79795460361 -.85576142213 -.91178881995   #s12,#s13,#s14,#s15,#s16,#s17
#     -.96614373463 -1.0189229205		              #s12,#s13,#s14,#s15,#s16,#s17

variables
  lognormal_uncertain = 2
    means             =  1.  1
    std_deviations    =  0.5 0.5
# Demonstration of eval count reduction with a good initial guess:
#    initial_point     =  0.6 1.4			            #s5,#s11,#s17
    descriptors       =  'TF1ln'   'TF2ln'
  uncertain_correlation_matrix =  1   0.3
  				  0.3 1

interface
  analysis_drivers = 'log_ratio'
    direct
##  fork asynch                                   #s5

responses
  response_functions = 1
#  analytic_gradients
  numerical_gradients
    method_source dakota
    interval_type central
    fd_step_size = 1.e-4
  no_hessians