1 2 namespace Dakota { 3 4 /** 742 distinct keywords (plus 101 aliases) **/ 5 6 static KeyWord 7 kw_1[3] = { 8 {"active_set_vector",8,0,1,0,0,0.,0.,0,N_ifm(false,activeSetVectorFlag)}, 9 {"evaluation_cache",8,0,2,0,0,0.,0.,0,N_ifm(false,evalCacheFlag)}, 10 {"restart_file",8,0,3,0,0,0.,0.,0,N_ifm(false,restartFileFlag)} 11 }, 12 kw_2[1] = { 13 {"processors_per_analysis",9,0,1,0,0,0.,0.,0,N_ifm(int,procsPerAnalysis)} 14 }, 15 kw_3[4] = { 16 {"abort",8,0,1,1,0,0.,0.,0,N_ifm(lit,failAction_abort)}, 17 {"continuation",8,0,1,1,0,0.,0.,0,N_ifm(lit,failAction_continuation)}, 18 {"recover",14,0,1,1,0,0.,0.,0,N_ifm(Rlit,3failAction_recover)}, 19 {"retry",9,0,1,1,0,0.,0.,0,N_ifm(ilit,3failAction_retry)} 20 }, 21 kw_4[2] = { 22 {"copy",8,0,1,0,0,0.,0.,0,N_ifm(true,templateCopy)}, 23 {"replace",8,0,2,0,0,0.,0.,0,N_ifm(true,templateReplace)} 24 }, 25 kw_5[7] = { 26 {"dir_save",0,0,3,0,0,0.,0.,2,N_ifm(true,dirSave)}, 27 {"dir_tag",0,0,2,0,0,0.,0.,2,N_ifm(true,dirTag)}, 28 {"directory_save",8,0,3,0,0,0.,0.,0,N_ifm(true,dirSave)}, 29 {"directory_tag",8,0,2,0,0,0.,0.,0,N_ifm(true,dirTag)}, 30 {"named",11,0,1,0,0,0.,0.,0,N_ifm(str,workDir)}, 31 {"template_directory",11,2,4,0,kw_4,0.,0.,0,N_ifm(str,templateDir)}, 32 {"template_files",15,2,4,0,kw_4,0.,0.,0,N_ifm(strL,templateFiles)} 33 }, 34 kw_6[7] = { 35 {"aprepro",8,0,4,0,0,0.,0.,0,N_ifm(true,apreproFlag)}, 36 {"file_save",8,0,6,0,0,0.,0.,0,N_ifm(true,fileSaveFlag)}, 37 {"file_tag",8,0,5,0,0,0.,0.,0,N_ifm(true,fileTagFlag)}, 38 {"parameters_file",11,0,1,0,0,0.,0.,0,N_ifm(str,parametersFile)}, 39 {"results_file",11,0,2,0,0,0.,0.,0,N_ifm(str,resultsFile)}, 40 {"verbatim",8,0,3,0,0,0.,0.,0,N_ifm(true,verbatimFlag)}, 41 {"work_directory",8,7,7,0,kw_5,0.,0.,0,N_ifm(true,useWorkdir)} 42 }, 43 kw_7[9] = { 44 {"analysis_components",15,0,1,0,0,0.,0.,0,N_ifm(str2D,analysisComponents)}, 45 {"deactivate",8,3,6,0,kw_1}, 46 {"direct",8,1,4,1,kw_2,0.,0.,0,N_ifm(lit,interfaceType_direct)}, 47 {"failure_capture",8,4,5,0,kw_3}, 48 {"fork",8,7,4,1,kw_6,0.,0.,0,N_ifm(lit,interfaceType_fork)}, 49 {"grid",8,0,4,1,0,0.,0.,0,N_ifm(lit,interfaceType_grid)}, 50 {"input_filter",11,0,2,0,0,0.,0.,0,N_ifm(str,inputFilter)}, 51 {"output_filter",11,0,3,0,0,0.,0.,0,N_ifm(str,outputFilter)}, 52 {"system",8,7,4,1,kw_6,0.,0.,0,N_ifm(lit,interfaceType_system)} 53 }, 54 kw_8[4] = { 55 {"analysis_concurrency",9,0,3,0,0,0.,0.,0,N_ifm(int,asynchLocalAnalysisConcurrency)}, 56 {"evaluation_concurrency",9,0,1,0,0,0.,0.,0,N_ifm(int,asynchLocalEvalConcurrency)}, 57 {"local_evaluation_self_scheduling",8,0,2,0,0,0.,0.,0,N_ifm(lit,asynchLocalEvalScheduling_self)}, 58 {"local_evaluation_static_scheduling",8,0,2,0,0,0.,0.,0,N_ifm(lit,asynchLocalEvalScheduling_static)} 59 }, 60 kw_9[10] = { 61 {"algebraic_mappings",11,0,2,0,0,0.,0.,0,N_ifm(str,algebraicMappings)}, 62 {"analysis_drivers",15,9,3,0,kw_7,0.,0.,0,N_ifm(strL,analysisDrivers)}, 63 {"analysis_self_scheduling",8,0,8,0,0,0.,0.,0,N_ifm(lit,analysisScheduling_self)}, 64 {"analysis_servers",9,0,7,0,0,0.,0.,0,N_ifm(int,analysisServers)}, 65 {"analysis_static_scheduling",8,0,8,0,0,0.,0.,0,N_ifm(lit,analysisScheduling_static)}, 66 {"asynchronous",8,4,4,0,kw_8,0.,0.,0,N_ifm(lit,interfaceSynchronization_asynchronous)}, 67 {"evaluation_self_scheduling",8,0,6,0,0,0.,0.,0,N_ifm(lit,evalScheduling_self)}, 68 {"evaluation_servers",9,0,5,0,0,0.,0.,0,N_ifm(int,evalServers)}, 69 {"evaluation_static_scheduling",8,0,6,0,0,0.,0.,0,N_ifm(lit,evalScheduling_static)}, 70 {"id_interface",11,0,1,0,0,0.,0.,0,N_ifm(str,idInterface)} 71 }, 72 kw_10[9] = { 73 {"linear_equality_constraint_matrix",14,0,6,0,0,0.,0.,0,N_mdm(RealDL,linearEqConstraintCoeffs)}, 74 {"linear_equality_scale_types",15,0,8,0,0,0.,0.,0,N_mdm(strL,linearEqScaleTypes)}, 75 {"linear_equality_scales",14,0,9,0,0,0.,0.,0,N_mdm(RealDL,linearEqScales)}, 76 {"linear_equality_targets",14,0,7,0,0,0.,0.,0,N_mdm(RealDL,linearEqTargets)}, 77 {"linear_inequality_constraint_matrix",14,0,1,0,0,0.,0.,0,N_mdm(RealDL,linearIneqConstraintCoeffs)}, 78 {"linear_inequality_lower_bounds",14,0,2,0,0,0.,0.,0,N_mdm(RealDL,linearIneqLowerBnds)}, 79 {"linear_inequality_scale_types",15,0,4,0,0,0.,0.,0,N_mdm(strL,linearIneqScaleTypes)}, 80 {"linear_inequality_scales",14,0,5,0,0,0.,0.,0,N_mdm(RealDL,linearIneqScales)}, 81 {"linear_inequality_upper_bounds",14,0,3,0,0,0.,0.,0,N_mdm(RealDL,linearIneqUpperBnds)} 82 }, 83 kw_11[7] = { 84 {"merit1",8,0,1,1,0,0.,0.,0,N_mdm(lit,meritFunction_merit1)}, 85 {"merit1_smooth",8,0,1,1,0,0.,0.,0,N_mdm(lit,meritFunction_merit1_smooth)}, 86 {"merit2",8,0,1,1,0,0.,0.,0,N_mdm(lit,meritFunction_merit2)}, 87 {"merit2_smooth",8,0,1,1,0,0.,0.,0,N_mdm(lit,meritFunction_merit2_smooth)}, 88 {"merit2_squared",8,0,1,1,0,0.,0.,0,N_mdm(lit,meritFunction_merit2_squared)}, 89 {"merit_max",8,0,1,1,0,0.,0.,0,N_mdm(lit,meritFunction_merit_max)}, 90 {"merit_max_smooth",8,0,1,1,0,0.,0.,0,N_mdm(lit,meritFunction_merit_max_smooth)} 91 }, 92 kw_12[2] = { 93 {"blocking",8,0,1,1,0,0.,0.,0,N_mdm(lit,evalSynchronize_blocking)}, 94 {"nonblocking",8,0,1,1,0,0.,0.,0,N_mdm(lit,evalSynchronize_nonblocking)} 95 }, 96 kw_13[10] = { 97 {0,0,9,0,0,kw_10}, 98 {"constraint_penalty",10,0,7,0,0,0.,0.,0,N_mdm(Real,constrPenalty)}, 99 {"contraction_factor",10,0,2,0,0,0.,0.,0,N_mdm(Real,contractStepLength)}, 100 {"initial_delta",10,0,1,0,0,0.,0.,0,N_mdm(Real,initStepLength)}, 101 {"merit_function",8,7,6,0,kw_11}, 102 {"smoothing_factor",10,0,8,0,0,0.,0.,0,N_mdm(Real,smoothFactor)}, 103 {"solution_accuracy",2,0,4,0,0,0.,0.,1,N_mdm(Real,solnTarget)}, 104 {"solution_target",10,0,4,0,0,0.,0.,0,N_mdm(Real,solnTarget)}, 105 {"synchronization",8,2,5,0,kw_12}, 106 {"variable_tolerance",10,0,3,0,0,0.,0.,0,N_mdm(Real,threshStepLength)} 107 }, 108 kw_14[3] = { 109 {"deltas_per_variable",5,0,2,2,0,0.,0.,2,N_mdm(intDL,stepsPerVariable)}, 110 {"step_vector",14,0,1,1,0,0.,0.,0,N_mdm(RealDL,stepVector)}, 111 {"steps_per_variable",13,0,2,2,0,0.,0.,0,N_mdm(intDL,stepsPerVariable)} 112 }, 113 kw_15[5] = { 114 {"misc_options",15,0,4,0,0,0.,0.,0,N_mdm(strL,miscOptions)}, 115 {"seed",9,0,2,0,0,0.,0.,0,N_mdm(pint,randomSeed)}, 116 {"show_misc_options",8,0,3,0,0,0.,0.,0,N_mdm(true,showMiscOptions)}, 117 {"solution_accuracy",2,0,1,0,0,0.,0.,1,N_mdm(Real,solnTarget)}, 118 {"solution_target",10,0,1,0,0,0.,0.,0,N_mdm(Real,solnTarget)} 119 }, 120 kw_16[2] = { 121 {"initial_delta",10,0,1,1,0,0.,0.,0,N_mdm(Real,initDelta)}, 122 {"variable_tolerance",10,0,2,2,0,0.,0.,0,N_mdm(Real,threshDelta)} 123 }, 124 kw_17[3] = { 125 {0,0,5,0,0,kw_15}, 126 {0,0,2,0,0,kw_16}, 127 {""} 128 }, 129 kw_18[2] = { 130 {"all_dimensions",8,0,1,1,0,0.,0.,0,N_mdm(lit,boxDivision_all_dimensions)}, 131 {"major_dimension",8,0,1,1,0,0.,0.,0,N_mdm(lit,boxDivision_major_dimension)} 132 }, 133 kw_19[7] = { 134 {0,0,5,0,0,kw_15}, 135 {"constraint_penalty",10,0,6,0,0,0.,0.,0,N_mdm(Real,constraintPenalty)}, 136 {"division",8,2,1,0,kw_18}, 137 {"global_balance_parameter",10,0,2,0,0,0.,0.,0,N_mdm(Real,globalBalanceParam)}, 138 {"local_balance_parameter",10,0,3,0,0,0.,0.,0,N_mdm(Real,localBalanceParam)}, 139 {"max_boxsize_limit",10,0,4,0,0,0.,0.,0,N_mdm(Real,maxBoxSize)}, 140 {"min_boxsize_limit",10,0,5,0,0,0.,0.,0,N_mdm(Real,minBoxSize)} 141 }, 142 kw_20[3] = { 143 {"blend",8,0,1,1,0,0.,0.,0,N_mdm(lit,crossoverType_blend)}, 144 {"two_point",8,0,1,1,0,0.,0.,0,N_mdm(lit,crossoverType_two_point)}, 145 {"uniform",8,0,1,1,0,0.,0.,0,N_mdm(lit,crossoverType_uniform)} 146 }, 147 kw_21[2] = { 148 {"linear_rank",8,0,1,1,0,0.,0.,0,N_mdm(lit,fitnessType_linear_rank)}, 149 {"merit_function",8,0,1,1,0,0.,0.,0,N_mdm(lit,fitnessType_proportional)} 150 }, 151 kw_22[3] = { 152 {"flat_file",11,0,1,1,0,0.,0.,0,N_mdm(slit2,3initializationType_flat_file)}, 153 {"simple_random",8,0,1,1,0,0.,0.,0,N_mdm(lit,initializationType_random)}, 154 {"unique_random",8,0,1,1,0,0.,0.,0,N_mdm(lit,initializationType_unique_random)} 155 }, 156 kw_23[2] = { 157 {"mutation_range",9,0,2,0,0,0.,0.,0,N_mdm(int,mutationRange)}, 158 {"mutation_scale",10,0,1,0,0,0.,0.,0,N_mdm(Real,mutationScale)} 159 }, 160 kw_24[5] = { 161 {"non_adaptive",8,0,2,0,0,0.,0.,0,N_mdm(false,mutationAdaptive)}, 162 {"offset_cauchy",8,2,1,1,kw_23,0.,0.,0,N_mdm(lit,mutationType_offset_cauchy)}, 163 {"offset_normal",8,2,1,1,kw_23,0.,0.,0,N_mdm(lit,mutationType_offset_normal)}, 164 {"offset_uniform",8,2,1,1,kw_23,0.,0.,0,N_mdm(lit,mutationType_offset_uniform)}, 165 {"replace_uniform",8,0,1,1,0,0.,0.,0,N_mdm(lit,mutationType_replace_uniform)} 166 }, 167 kw_25[4] = { 168 {"chc",9,0,1,1,0,0.,0.,0,N_mdm(ilit2,3replacementType_chc)}, 169 {"elitist",9,0,1,1,0,0.,0.,0,N_mdm(ilit2,3replacementType_elitist)}, 170 {"new_solutions_generated",9,0,2,0,0,0.,0.,0,N_mdm(int,newSolnsGenerated)}, 171 {"random",9,0,1,1,0,0.,0.,0,N_mdm(ilit2,3replacementType_random)} 172 }, 173 kw_26[10] = { 174 {0,0,5,0,0,kw_15}, 175 {"constraint_penalty",10,0,9,0,0,0.,0.,0,N_mdm(Real,constraintPenalty)}, 176 {"crossover_rate",10,0,5,0,0,0.,0.,0,N_mdm(Real,crossoverRate)}, 177 {"crossover_type",8,3,6,0,kw_20}, 178 {"fitness_type",8,2,3,0,kw_21}, 179 {"initialization_type",8,3,2,0,kw_22}, 180 {"mutation_rate",10,0,7,0,0,0.,0.,0,N_mdm(Real,mutationRate)}, 181 {"mutation_type",8,5,8,0,kw_24}, 182 {"population_size",9,0,1,0,0,0.,0.,0,N_mdm(pint,populationSize)}, 183 {"replacement_type",8,4,4,0,kw_25} 184 }, 185 kw_27[2] = { 186 {"constraint_penalty",10,0,2,0,0,0.,0.,0,N_mdm(Real,constraintPenalty)}, 187 {"contraction_factor",10,0,1,0,0,0.,0.,0,N_mdm(Real,contractFactor)} 188 }, 189 kw_28[3] = { 190 {"adaptive_pattern",8,0,1,1,0,0.,0.,0,N_mdm(lit,exploratoryMoves_adaptive)}, 191 {"basic_pattern",8,0,1,1,0,0.,0.,0,N_mdm(lit,exploratoryMoves_simple)}, 192 {"multi_step",8,0,1,1,0,0.,0.,0,N_mdm(lit,exploratoryMoves_multi_step)} 193 }, 194 kw_29[2] = { 195 {"coordinate",8,0,1,1,0,0.,0.,0,N_mdm(lit,patternBasis_coordinate)}, 196 {"simplex",8,0,1,1,0,0.,0.,0,N_mdm(lit,patternBasis_simplex)} 197 }, 198 kw_30[2] = { 199 {"blocking",8,0,1,1,0,0.,0.,0,N_mdm(lit,evalSynchronization_blocking)}, 200 {"nonblocking",8,0,1,1,0,0.,0.,0,N_mdm(lit,evalSynchronization_nonblocking)} 201 }, 202 kw_31[11] = { 203 {0,0,5,0,0,kw_15}, 204 {0,0,2,0,0,kw_16}, 205 {0,0,2,0,0,kw_27}, 206 {"constant_penalty",8,0,1,0,0,0.,0.,0,N_mdm(true,constantPenalty)}, 207 {"expand_after_success",9,0,3,0,0,0.,0.,0,N_mdm(int,expandAfterSuccess)}, 208 {"exploratory_moves",8,3,7,0,kw_28}, 209 {"no_expansion",8,0,2,0,0,0.,0.,0,N_mdm(false,expansionFlag)}, 210 {"pattern_basis",8,2,4,0,kw_29}, 211 {"stochastic",8,0,5,0,0,0.,0.,0,N_mdm(true,randomizeOrderFlag)}, 212 {"synchronization",8,2,8,0,kw_30}, 213 {"total_pattern_size",9,0,6,0,0,0.,0.,0,N_mdm(int,totalPatternSize)} 214 }, 215 kw_32[7] = { 216 {0,0,5,0,0,kw_15}, 217 {0,0,2,0,0,kw_16}, 218 {0,0,2,0,0,kw_27}, 219 {"constant_penalty",8,0,4,0,0,0.,0.,0,N_mdm(true,constantPenalty)}, 220 {"contract_after_failure",9,0,1,0,0,0.,0.,0,N_mdm(int,contractAfterFail)}, 221 {"expand_after_success",9,0,3,0,0,0.,0.,0,N_mdm(int,expandAfterSuccess)}, 222 {"no_expansion",8,0,2,0,0,0.,0.,0,N_mdm(false,expansionFlag)} 223 }, 224 kw_33[1] = { 225 {"seed",9,0,1,0,0,0.,0.,0,N_mdm(pint,randomSeed)} 226 }, 227 kw_34[1] = { 228 {"samples",9,0,1,0,0,0.,0.,0,N_mdm(int,numSamples)} 229 }, 230 kw_35[14] = { 231 {0,0,1,0,0,kw_33}, 232 {0,0,1,0,0,kw_34}, 233 {"box_behnken",8,0,1,1,0,0.,0.,0,N_mdm(lit,daceMethod_box_behnken)}, 234 {"central_composite",8,0,1,1,0,0.,0.,0,N_mdm(lit,daceMethod_central_composite)}, 235 {"fixed_seed",8,0,5,0,0,0.,0.,0,N_mdm(true,fixedSeedFlag)}, 236 {"grid",8,0,1,1,0,0.,0.,0,N_mdm(lit,daceMethod_grid)}, 237 {"lhs",8,0,1,1,0,0.,0.,0,N_mdm(lit,daceMethod_lhs)}, 238 {"main_effects",8,0,2,0,0,0.,0.,0,N_mdm(true,mainEffectsFlag)}, 239 {"oa_lhs",8,0,1,1,0,0.,0.,0,N_mdm(lit,daceMethod_oa_lhs)}, 240 {"oas",8,0,1,1,0,0.,0.,0,N_mdm(lit,daceMethod_oas)}, 241 {"quality_metrics",8,0,3,0,0,0.,0.,0,N_mdm(true,volQualityFlag)}, 242 {"random",8,0,1,1,0,0.,0.,0,N_mdm(lit,daceMethod_random)}, 243 {"symbols",9,0,6,0,0,0.,0.,0,N_mdm(int,numSymbols)}, 244 {"variance_based_decomp",8,0,4,0,0,0.,0.,0,N_mdm(true,varBasedDecompFlag)} 245 }, 246 kw_36[3] = { 247 {"grid",8,0,1,1,0,0.,0.,0,N_mdm(lit,trialType_grid)}, 248 {"halton",8,0,1,1,0,0.,0.,0,N_mdm(lit,trialType_halton)}, 249 {"random",8,0,1,1,0,0.,0.,0,N_mdm(lit,trialType_random)} 250 }, 251 kw_37[8] = { 252 {0,0,1,0,0,kw_33}, 253 {0,0,1,0,0,kw_34}, 254 {"fixed_seed",8,0,4,0,0,0.,0.,0,N_mdm(true,fixedSeedFlag)}, 255 {"latinize",8,0,1,0,0,0.,0.,0,N_mdm(true,latinizeFlag)}, 256 {"num_trials",9,0,6,0,0,0.,0.,0,N_mdm(int,numTrials)}, 257 {"quality_metrics",8,0,2,0,0,0.,0.,0,N_mdm(true,volQualityFlag)}, 258 {"trial_type",8,3,5,0,kw_36}, 259 {"variance_based_decomp",8,0,3,0,0,0.,0.,0,N_mdm(true,varBasedDecompFlag)} 260 }, 261 kw_38[10] = { 262 {"fixed_sequence",8,0,6,0,0,0.,0.,0,N_mdm(true,fixedSequenceFlag)}, 263 {"halton",8,0,1,1,0,0.,0.,0,N_mdm(lit,methodName_fsu_halton)}, 264 {"hammersley",8,0,1,1,0,0.,0.,0,N_mdm(lit,methodName_fsu_hammersley)}, 265 {"latinize",8,0,2,0,0,0.,0.,0,N_mdm(true,latinizeFlag)}, 266 {"prime_base",13,0,9,0,0,0.,0.,0,N_mdm(intDL,primeBase)}, 267 {"quality_metrics",8,0,3,0,0,0.,0.,0,N_mdm(true,volQualityFlag)}, 268 {"samples",9,0,5,0,0,0.,0.,0,N_mdm(int,numSamples)}, 269 {"sequence_leap",13,0,8,0,0,0.,0.,0,N_mdm(intDL,sequenceLeap)}, 270 {"sequence_start",13,0,7,0,0,0.,0.,0,N_mdm(intDL,sequenceStart)}, 271 {"variance_based_decomp",8,0,4,0,0,0.,0.,0,N_mdm(true,varBasedDecompFlag)} 272 }, 273 kw_39[1] = { 274 {"list_of_points",14,0,1,1,0,0.,0.,0,N_mdm(RealDL,listOfPoints)} 275 }, 276 kw_40[1] = { 277 {"partitions",13,0,1,1,0,0.,0.,0,N_mdm(ushintL,varPartitions)} 278 }, 279 kw_41[4] = { 280 {"min_boxsize_limit",10,0,2,0,0,0.,0.,0,N_mdm(Real,minBoxSize)}, 281 {"solution_accuracy",2,0,1,0,0,0.,0.,1,N_mdm(Real,solnTarget)}, 282 {"solution_target",10,0,1,0,0,0.,0.,0,N_mdm(Real,solnTarget)}, 283 {"volume_boxsize_limit",10,0,3,0,0,0.,0.,0,N_mdm(Real,volBoxSize)} 284 }, 285 kw_42[9] = { 286 {"absolute_conv_tol",10,0,2,0,0,0.,0.,0,N_mdm(Real,absConvTol)}, 287 {"covariance",9,0,8,0,0,0.,0.,0,N_mdm(int,covarianceType)}, 288 {"false_conv_tol",10,0,6,0,0,0.,0.,0,N_mdm(Real,falseConvTol)}, 289 {"function_precision",10,0,1,0,0,0.,0.,0,N_mdm(Real,functionPrecision)}, 290 {"initial_trust_radius",10,0,7,0,0,0.,0.,0,N_mdm(Real,initTRRadius)}, 291 {"regression_diagnostics",8,0,9,0,0,0.,0.,0,N_mdm(true,regressDiag)}, 292 {"singular_conv_tol",10,0,4,0,0,0.,0.,0,N_mdm(Real,singConvTol)}, 293 {"singular_radius",10,0,5,0,0,0.,0.,0,N_mdm(Real,singRadius)}, 294 {"x_conv_tol",10,0,3,0,0,0.,0.,0,N_mdm(Real,xConvTol)} 295 }, 296 kw_43[2] = { 297 {"mt19937",8,0,1,1,0,0.,0.,0,N_mdm(lit,rngName_mt19937)}, 298 {"rnum2",8,0,1,1,0,0.,0.,0,N_mdm(lit,rngName_rnum2)} 299 }, 300 kw_44[3] = { 301 {0,0,1,0,0,kw_33}, 302 {0,0,1,0,0,kw_34}, 303 {"rng",8,2,1,0,kw_43} 304 }, 305 kw_45[2] = { 306 {"complementary",8,0,1,1,0,0.,0.,0,N_mdm(lit,distributionType_complementary)}, 307 {"cumulative",8,0,1,1,0,0.,0.,0,N_mdm(lit,distributionType_cumulative)} 308 }, 309 kw_46[1] = { 310 {"num_gen_reliability_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,genReliabilityLevels)} 311 }, 312 kw_47[1] = { 313 {"num_probability_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,probabilityLevels)} 314 }, 315 kw_48[2] = { 316 {"mt19937",8,0,1,1,0,0.,0.,0,N_mdm(lit,rngName_mt19937)}, 317 {"rnum2",8,0,1,1,0,0.,0.,0,N_mdm(lit,rngName_rnum2)} 318 }, 319 kw_49[4] = { 320 {"distribution",8,2,1,0,kw_45}, 321 {"gen_reliability_levels",14,1,3,0,kw_46,0.,0.,0,N_mdm(resplevs,genReliabilityLevels)}, 322 {"probability_levels",14,1,2,0,kw_47,0.,0.,0,N_mdm(resplevs01,probabilityLevels)}, 323 {"rng",8,2,4,0,kw_48} 324 }, 325 kw_50[2] = { 326 {"gen_reliabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_gen_reliabilities)}, 327 {"probabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_probabilities)} 328 }, 329 kw_51[2] = { 330 {"compute",8,2,2,0,kw_50}, 331 {"num_response_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,responseLevels)} 332 }, 333 kw_52[6] = { 334 {0,0,1,0,0,kw_33}, 335 {0,0,1,0,0,kw_34}, 336 {0,0,4,0,0,kw_49}, 337 {"ego",8,0,1,0,0,0.,0.,0,N_mdm(lit,nondOptAlgorithm_ego)}, 338 {"lhs",8,0,1,0,0,0.,0.,0,N_mdm(lit,nondOptAlgorithm_lhs)}, 339 {"response_levels",14,2,2,0,kw_51,0.,0.,0,N_mdm(resplevs,responseLevels)} 340 }, 341 kw_53[2] = { 342 {"mt19937",8,0,1,1,0,0.,0.,0,N_mdm(lit,rngName_mt19937)}, 343 {"rnum2",8,0,1,1,0,0.,0.,0,N_mdm(lit,rngName_rnum2)} 344 }, 345 kw_54[5] = { 346 {0,0,1,0,0,kw_33}, 347 {0,0,1,0,0,kw_34}, 348 {"ego",8,0,1,0,0,0.,0.,0,N_mdm(lit,nondOptAlgorithm_ego)}, 349 {"lhs",8,0,1,0,0,0.,0.,0,N_mdm(lit,nondOptAlgorithm_lhs)}, 350 {"rng",8,2,2,0,kw_53} 351 }, 352 kw_55[2] = { 353 {"complementary",8,0,1,1,0,0.,0.,0,N_mdm(lit,distributionType_complementary)}, 354 {"cumulative",8,0,1,1,0,0.,0.,0,N_mdm(lit,distributionType_cumulative)} 355 }, 356 kw_56[1] = { 357 {"num_gen_reliability_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,genReliabilityLevels)} 358 }, 359 kw_57[1] = { 360 {"num_probability_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,probabilityLevels)} 361 }, 362 kw_58[3] = { 363 {"distribution",8,2,1,0,kw_55}, 364 {"gen_reliability_levels",14,1,3,0,kw_56,0.,0.,0,N_mdm(resplevs,genReliabilityLevels)}, 365 {"probability_levels",14,1,2,0,kw_57,0.,0.,0,N_mdm(resplevs01,probabilityLevels)} 366 }, 367 kw_59[2] = { 368 {"gen_reliabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_gen_reliabilities)}, 369 {"probabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_probabilities)} 370 }, 371 kw_60[2] = { 372 {"compute",8,2,2,0,kw_59}, 373 {"num_response_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,responseLevels)} 374 }, 375 kw_61[2] = { 376 {"mt19937",8,0,1,1,0,0.,0.,0,N_mdm(lit,rngName_mt19937)}, 377 {"rnum2",8,0,1,1,0,0.,0.,0,N_mdm(lit,rngName_rnum2)} 378 }, 379 kw_62[7] = { 380 {0,0,3,0,0,kw_58}, 381 {"all_variables",8,0,2,0,0,0.,0.,0,N_mdm(true,allVarsFlag)}, 382 {"response_levels",14,2,5,0,kw_60,0.,0.,0,N_mdm(resplevs,responseLevels)}, 383 {"rng",8,2,4,0,kw_61}, 384 {"seed",9,0,3,0,0,0.,0.,0,N_mdm(pint,randomSeed)}, 385 {"u_gaussian_process",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilitySearchType_egra_u)}, 386 {"x_gaussian_process",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilitySearchType_egra_x)} 387 }, 388 kw_63[2] = { 389 {"gen_reliabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_gen_reliabilities)}, 390 {"probabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_probabilities)} 391 }, 392 kw_64[2] = { 393 {"compute",8,2,2,0,kw_63}, 394 {"num_response_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,responseLevels)} 395 }, 396 kw_65[4] = { 397 {0,0,1,0,0,kw_33}, 398 {0,0,1,0,0,kw_34}, 399 {0,0,4,0,0,kw_49}, 400 {"response_levels",14,2,1,0,kw_64,0.,0.,0,N_mdm(resplevs,responseLevels)} 401 }, 402 kw_66[2] = { 403 {"complementary",8,0,1,1,0,0.,0.,0,N_mdm(lit,distributionType_complementary)}, 404 {"cumulative",8,0,1,1,0,0.,0.,0,N_mdm(lit,distributionType_cumulative)} 405 }, 406 kw_67[1] = { 407 {"num_gen_reliability_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,genReliabilityLevels)} 408 }, 409 kw_68[1] = { 410 {"num_probability_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,probabilityLevels)} 411 }, 412 kw_69[2] = { 413 {"gen_reliabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_gen_reliabilities)}, 414 {"probabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_probabilities)} 415 }, 416 kw_70[2] = { 417 {"compute",8,2,2,0,kw_69}, 418 {"num_response_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,responseLevels)} 419 }, 420 kw_71[6] = { 421 {"distribution",8,2,5,0,kw_66}, 422 {"gen_reliability_levels",14,1,4,0,kw_67,0.,0.,0,N_mdm(resplevs,genReliabilityLevels)}, 423 {"nip",8,0,1,0,0,0.,0.,0,N_mdm(lit,nondOptAlgorithm_nip)}, 424 {"probability_levels",14,1,3,0,kw_68,0.,0.,0,N_mdm(resplevs01,probabilityLevels)}, 425 {"response_levels",14,2,2,0,kw_70,0.,0.,0,N_mdm(resplevs,responseLevels)}, 426 {"sqp",8,0,1,0,0,0.,0.,0,N_mdm(lit,nondOptAlgorithm_sqp)} 427 }, 428 kw_72[2] = { 429 {"nip",8,0,1,0,0,0.,0.,0,N_mdm(lit,nondOptAlgorithm_nip)}, 430 {"sqp",8,0,1,0,0,0.,0.,0,N_mdm(lit,nondOptAlgorithm_sqp)} 431 }, 432 kw_73[5] = { 433 {"adapt_import",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilityIntegrationRefine_ais)}, 434 {"import",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilityIntegrationRefine_is)}, 435 {"mm_adapt_import",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilityIntegrationRefine_mmais)}, 436 {"samples",9,0,2,0,0,0.,0.,0,N_mdm(int,numSamples)}, 437 {"seed",9,0,3,0,0,0.,0.,0,N_mdm(pint,randomSeed)} 438 }, 439 kw_74[3] = { 440 {"first_order",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilityIntegration_first_order)}, 441 {"refinement",8,5,2,0,kw_73}, 442 {"second_order",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilityIntegration_second_order)} 443 }, 444 kw_75[9] = { 445 {"nip",8,0,2,0,0,0.,0.,0,N_mdm(lit,nondOptAlgorithm_nip)}, 446 {"no_approx",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilitySearchType_no_approx)}, 447 {"sqp",8,0,2,0,0,0.,0.,0,N_mdm(lit,nondOptAlgorithm_sqp)}, 448 {"u_taylor_mean",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilitySearchType_amv_u)}, 449 {"u_taylor_mpp",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilitySearchType_amv_plus_u)}, 450 {"u_two_point",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilitySearchType_tana_u)}, 451 {"x_taylor_mean",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilitySearchType_amv_x)}, 452 {"x_taylor_mpp",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilitySearchType_amv_plus_x)}, 453 {"x_two_point",8,0,1,1,0,0.,0.,0,N_mdm(lit,reliabilitySearchType_tana_x)} 454 }, 455 kw_76[1] = { 456 {"num_reliability_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,reliabilityLevels)} 457 }, 458 kw_77[3] = { 459 {"gen_reliabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_gen_reliabilities)}, 460 {"probabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_probabilities)}, 461 {"reliabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_reliabilities)} 462 }, 463 kw_78[2] = { 464 {"compute",8,3,2,0,kw_77}, 465 {"num_response_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,responseLevels)} 466 }, 467 kw_79[5] = { 468 {0,0,3,0,0,kw_58}, 469 {"integration",8,3,2,0,kw_74}, 470 {"mpp_search",8,9,1,0,kw_75}, 471 {"reliability_levels",14,1,4,0,kw_76,0.,0.,0,N_mdm(resplevs,reliabilityLevels)}, 472 {"response_levels",14,2,3,0,kw_78,0.,0.,0,N_mdm(resplevs,responseLevels)} 473 }, 474 kw_80[1] = { 475 {"num_reliability_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,reliabilityLevels)} 476 }, 477 kw_81[3] = { 478 {"gen_reliabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_gen_reliabilities)}, 479 {"probabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_probabilities)}, 480 {"reliabilities",8,0,1,1,0,0.,0.,0,N_mdm(lit,responseLevelMappingType_reliabilities)} 481 }, 482 kw_82[2] = { 483 {"compute",8,3,2,0,kw_81}, 484 {"num_response_levels",13,0,1,0,0,0.,0.,0,N_mdm(num_resplevs,responseLevels)} 485 }, 486 kw_83[2] = { 487 {"reliability_levels",14,1,1,0,kw_80,0.,0.,0,N_mdm(resplevs,reliabilityLevels)}, 488 {"response_levels",14,2,2,0,kw_82,0.,0.,0,N_mdm(resplevs,responseLevels)} 489 }, 490 kw_84[2] = { 491 {"all_variables",8,0,1,0,0,0.,0.,0,N_mdm(true,allVarsFlag)}, 492 {"fixed_seed",8,0,2,0,0,0.,0.,0,N_mdm(true,fixedSeedFlag)} 493 }, 494 kw_85[2] = { 495 {"expansion_order",13,0,1,1,0,0.,0.,0,N_mdm(ushintL,expansionOrder)}, 496 {"expansion_terms",9,0,1,1,0,0.,0.,0,N_mdm(int,expansionTerms)} 497 }, 498 kw_86[2] = { 499 {0,0,2,0,0,kw_85}, 500 {"reuse_samples",8,0,1,0,0,0.,0.,0,N_mdm(lit,collocSampleReuse_all)} 501 }, 502 kw_87[2] = { 503 {0,0,2,0,0,kw_85}, 504 {"incremental_lhs",8,0,1,0,0,0.,0.,0,N_mdm(lit,expansionSampleType_incremental_lhs)} 505 }, 506 kw_88[2] = { 507 {"adaptive",8,0,1,1,0,0.,0.,0,N_mdm(type,refinementType_ADAPTIVE_REFINEMENT)}, 508 {"uniform",8,0,1,1,0,0.,0.,0,N_mdm(type,refinementType_UNIFORM_REFINEMENT)} 509 }, 510 kw_89[2] = { 511 {"lhs",8,0,1,1,0,0.,0.,0,N_mdm(lit,sampleType_lhs)}, 512 {"random",8,0,1,1,0,0.,0.,0,N_mdm(lit,sampleType_random)} 513 }, 514 kw_90[1] = { 515 {"dimension_preference",14,0,1,0,0,0.,0.,0,N_mdm(RealDL,sparseGridDimPref)} 516 }, 517 kw_91[16] = { 518 {0,0,1,0,0,kw_33}, 519 {0,0,1,0,0,kw_34}, 520 {0,0,4,0,0,kw_49}, 521 {0,0,2,0,0,kw_83}, 522 {0,0,2,0,0,kw_84}, 523 {"askey",8,0,2,0,0,0.,0.,0,N_mdm(type,expansionType_ASKEY_U)}, 524 {"collocation_points",9,1,3,1,kw_86,0.,0.,0,N_mdm(int,collocationPoints)}, 525 {"collocation_ratio",10,1,3,1,kw_86,0.,0.,0,N_mdm(Realp,collocationRatio)}, 526 {"cubature_integrand",9,0,3,1,0,0.,0.,0,N_mdm(ushint,cubIntOrder)}, 527 {"expansion_import_file",11,2,3,1,kw_85,0.,0.,0,N_mdm(str,expansionImportFile)}, 528 {"expansion_samples",9,1,3,1,kw_87,0.,0.,0,N_mdm(int,expansionSamples)}, 529 {"quadrature_order",13,0,3,1,0,0.,0.,0,N_mdm(ushintL,quadratureOrder)}, 530 {"refinement",8,2,1,0,kw_88}, 531 {"sample_type",8,2,4,0,kw_89}, 532 {"sparse_grid_level",9,1,3,1,kw_90,0.,0.,0,N_mdm(ushint,sparseGridLevel)}, 533 {"wiener",8,0,2,0,0,0.,0.,0,N_mdm(type,expansionType_STD_NORMAL_U)} 534 }, 535 kw_92[1] = { 536 {"previous_samples",9,0,1,1,0,0.,0.,0,N_mdm(int,previousSamples)} 537 }, 538 kw_93[4] = { 539 {"incremental_lhs",8,1,1,1,kw_92,0.,0.,0,N_mdm(lit,sampleType_incremental_lhs)}, 540 {"incremental_random",8,1,1,1,kw_92,0.,0.,0,N_mdm(lit,sampleType_incremental_random)}, 541 {"lhs",8,0,1,1,0,0.,0.,0,N_mdm(lit,sampleType_lhs)}, 542 {"random",8,0,1,1,0,0.,0.,0,N_mdm(lit,sampleType_random)} 543 }, 544 kw_94[7] = { 545 {0,0,1,0,0,kw_33}, 546 {0,0,1,0,0,kw_34}, 547 {0,0,4,0,0,kw_49}, 548 {0,0,2,0,0,kw_83}, 549 {0,0,2,0,0,kw_84}, 550 {"sample_type",8,4,1,0,kw_93}, 551 {"variance_based_decomp",8,0,2,0,0,0.,0.,0,N_mdm(true,varBasedDecompFlag)} 552 }, 553 kw_95[2] = { 554 {"adaptive",8,0,1,1,0,0.,0.,0,N_mdm(type,refinementType_ADAPTIVE_REFINEMENT)}, 555 {"uniform",8,0,1,1,0,0.,0.,0,N_mdm(type,refinementType_UNIFORM_REFINEMENT)} 556 }, 557 kw_96[2] = { 558 {"lhs",8,0,1,1,0,0.,0.,0,N_mdm(lit,sampleType_lhs)}, 559 {"random",8,0,1,1,0,0.,0.,0,N_mdm(lit,sampleType_random)} 560 }, 561 kw_97[1] = { 562 {"dimension_preference",14,0,1,0,0,0.,0.,0,N_mdm(RealDL,sparseGridDimPref)} 563 }, 564 kw_98[11] = { 565 {0,0,1,0,0,kw_33}, 566 {0,0,1,0,0,kw_34}, 567 {0,0,4,0,0,kw_49}, 568 {0,0,2,0,0,kw_83}, 569 {0,0,2,0,0,kw_84}, 570 {"askey",8,0,2,0,0,0.,0.,0,N_mdm(type,expansionType_ASKEY_U)}, 571 {"quadrature_order",13,0,3,1,0,0.,0.,0,N_mdm(ushintL,quadratureOrder)}, 572 {"refinement",8,2,1,0,kw_95}, 573 {"sample_type",8,2,4,0,kw_96}, 574 {"sparse_grid_level",9,1,3,1,kw_97,0.,0.,0,N_mdm(ushint,sparseGridLevel)}, 575 {"wiener",8,0,2,0,0,0.,0.,0,N_mdm(type,expansionType_STD_NORMAL_U)} 576 }, 577 kw_99[1] = { 578 {"misc_options",15,0,1,0,0,0.,0.,0,N_mdm(strL,miscOptions)} 579 }, 580 kw_100[2] = { 581 {"gradient_tolerance",10,0,2,0,0,0.,0.,0,N_mdm(Real,gradientTolerance)}, 582 {"max_step",10,0,1,0,0,0.,0.,0,N_mdm(Real,maxStep)} 583 }, 584 kw_101[3] = { 585 {0,0,9,0,0,kw_10}, 586 {0,0,2,0,0,kw_100}, 587 {""} 588 }, 589 kw_102[2] = { 590 {0,0,9,0,0,kw_10}, 591 {"search_scheme_size",9,0,1,0,0,0.,0.,0,N_mdm(int,searchSchemeSize)} 592 }, 593 kw_103[4] = { 594 {"gradient_based_line_search",8,0,1,1,0,0.,0.,0,N_mdm(lit,searchMethod_gradient_based_line_search)}, 595 {"tr_pds",8,0,1,1,0,0.,0.,0,N_mdm(lit,searchMethod_tr_pds)}, 596 {"trust_region",8,0,1,1,0,0.,0.,0,N_mdm(lit,searchMethod_trust_region)}, 597 {"value_based_line_search",8,0,1,1,0,0.,0.,0,N_mdm(lit,searchMethod_value_based_line_search)} 598 }, 599 kw_104[7] = { 600 {0,0,9,0,0,kw_10}, 601 {0,0,2,0,0,kw_100}, 602 {"centering_parameter",10,0,5,0,0,0.,0.,0,N_mdm(Real,centeringParam)}, 603 {"central_path",11,0,3,0,0,0.,0.,0,N_mdm(meritFn,centralPath)}, 604 {"merit_function",11,0,2,0,0,0.,0.,0,N_mdm(meritFn,meritFn)}, 605 {"search_method",8,4,1,0,kw_103}, 606 {"steplength_to_boundary",10,0,4,0,0,0.,0.,0,N_mdm(Real,stepLenToBoundary)} 607 }, 608 kw_105[4] = { 609 {"debug",8,0,1,1,0,0.,0.,0,N_mdm(slit,methodOutput_DEBUG_OUTPUT)}, 610 {"quiet",8,0,1,1,0,0.,0.,0,N_mdm(slit,methodOutput_QUIET_OUTPUT)}, 611 {"silent",8,0,1,1,0,0.,0.,0,N_mdm(slit,methodOutput_SILENT_OUTPUT)}, 612 {"verbose",8,0,1,1,0,0.,0.,0,N_mdm(slit,methodOutput_VERBOSE_OUTPUT)} 613 }, 614 kw_106[3] = { 615 {0,0,1,0,0,kw_33}, 616 {0,0,1,0,0,kw_34}, 617 {"partitions",13,0,1,0,0,0.,0.,0,N_mdm(ushintL,varPartitions)} 618 }, 619 kw_107[3] = { 620 {"approx_method_name",11,0,1,1,0,0.,0.,0,N_mdm(str,subMethodName)}, 621 {"approx_method_pointer",11,0,1,1,0,0.,0.,0,N_mdm(str,subMethodPointer)}, 622 {"replace_points",8,0,2,0,0,0.,0.,0,N_mdm(true,surrBasedGlobalReplacePts)} 623 }, 624 kw_108[2] = { 625 {"filter",8,0,1,1,0,0.,0.,0,N_mdm(slit,surrBasedLocalAcceptLogic_FILTER)}, 626 {"tr_ratio",8,0,1,1,0,0.,0.,0,N_mdm(slit,surrBasedLocalAcceptLogic_TR_RATIO)} 627 }, 628 kw_109[7] = { 629 {"augmented_lagrangian_objective",8,0,1,1,0,0.,0.,0,N_mdm(slit,surrBasedLocalSubProbObj_AUGMENTED_LAGRANGIAN_OBJECTIVE)}, 630 {"lagrangian_objective",8,0,1,1,0,0.,0.,0,N_mdm(slit,surrBasedLocalSubProbObj_LAGRANGIAN_OBJECTIVE)}, 631 {"linearized_constraints",8,0,2,2,0,0.,0.,0,N_mdm(slit,surrBasedLocalSubProbCon_LINEARIZED_CONSTRAINTS)}, 632 {"no_constraints",8,0,2,2,0,0.,0.,0,N_mdm(slit,surrBasedLocalSubProbCon_NO_CONSTRAINTS)}, 633 {"original_constraints",8,0,2,2,0,0.,0.,0,N_mdm(slit,surrBasedLocalSubProbCon_ORIGINAL_CONSTRAINTS)}, 634 {"original_primary",8,0,1,1,0,0.,0.,0,N_mdm(slit,surrBasedLocalSubProbObj_ORIGINAL_PRIMARY)}, 635 {"single_objective",8,0,1,1,0,0.,0.,0,N_mdm(slit,surrBasedLocalSubProbObj_SINGLE_OBJECTIVE)} 636 }, 637 kw_110[1] = { 638 {"homotopy",8,0,1,1,0,0.,0.,0,N_mdm(slit,surrBasedLocalConstrRelax_HOMOTOPY)} 639 }, 640 kw_111[4] = { 641 {"adaptive_penalty_merit",8,0,1,1,0,0.,0.,0,N_mdm(slit,surrBasedLocalMeritFn_ADAPTIVE_PENALTY_MERIT)}, 642 {"augmented_lagrangian_merit",8,0,1,1,0,0.,0.,0,N_mdm(slit,surrBasedLocalMeritFn_AUGMENTED_LAGRANGIAN_MERIT)}, 643 {"lagrangian_merit",8,0,1,1,0,0.,0.,0,N_mdm(slit,surrBasedLocalMeritFn_LAGRANGIAN_MERIT)}, 644 {"penalty_merit",8,0,1,1,0,0.,0.,0,N_mdm(slit,surrBasedLocalMeritFn_PENALTY_MERIT)} 645 }, 646 kw_112[6] = { 647 {"contract_threshold",10,0,3,0,0,0.,0.,0,N_mdm(Real,surrBasedLocalTRContractTrigger)}, 648 {"contraction_factor",10,0,5,0,0,0.,0.,0,N_mdm(Real,surrBasedLocalTRContract)}, 649 {"expand_threshold",10,0,4,0,0,0.,0.,0,N_mdm(Real,surrBasedLocalTRExpandTrigger)}, 650 {"expansion_factor",10,0,6,0,0,0.,0.,0,N_mdm(Real,surrBasedLocalTRExpand)}, 651 {"initial_size",10,0,1,0,0,0.,0.,0,N_mdm(Real,surrBasedLocalTRInitSize)}, 652 {"minimum_size",10,0,2,0,0,0.,0.,0,N_mdm(Real,surrBasedLocalTRMinSize)} 653 }, 654 kw_113[10] = { 655 {0,0,9,0,0,kw_10}, 656 {"acceptance_logic",8,2,7,0,kw_108}, 657 {"approx_method_name",11,0,1,1,0,0.,0.,0,N_mdm(str,subMethodName)}, 658 {"approx_method_pointer",11,0,1,1,0,0.,0.,0,N_mdm(str,subMethodPointer)}, 659 {"approx_subproblem",8,7,5,0,kw_109}, 660 {"constraint_relax",8,1,8,0,kw_110}, 661 {"merit_function",8,4,6,0,kw_111}, 662 {"soft_convergence_limit",9,0,2,0,0,0.,0.,0,N_mdm(int,surrBasedLocalSoftConvLimit)}, 663 {"trust_region",8,6,4,0,kw_112,0.,0.,0,0,0,NIDRProblemDescDB::method_tr_final}, 664 {"truth_surrogate_bypass",8,0,3,0,0,0.,0.,0,N_mdm(true,surrBasedLocalLayerBypass)} 665 }, 666 kw_114[3] = { 667 {"final_point",14,0,1,1,0,0.,0.,0,N_mdm(RealDL,finalPoint)}, 668 {"num_steps",9,0,2,2,0,0.,0.,0,N_mdm(int,numSteps)}, 669 {"step_vector",14,0,1,1,0,0.,0.,0,N_mdm(RealDL,stepVector)} 670 }, 671 kw_115[65] = { 672 {"asynch_pattern_search",8,9,10,1,kw_13,0.,0.,0,N_mdm(lit,methodName_asynch_pattern_search)}, 673 {"centered_parameter_study",8,3,10,1,kw_14,0.,0.,0,N_mdm(lit,methodName_centered_parameter_study)}, 674 {"coliny_apps",0,9,10,1,kw_13,0.,0.,-2,N_mdm(lit,methodName_asynch_pattern_search)}, 675 {"coliny_cobyla",8,0,10,1,kw_17,0.,0.,0,N_mdm(lit,methodName_coliny_cobyla)}, 676 {"coliny_direct",8,6,10,1,kw_19,0.,0.,0,N_mdm(lit,methodName_coliny_direct)}, 677 {"coliny_ea",8,9,10,1,kw_26,0.,0.,0,NIDRProblemDescDB::method_coliny_ea}, 678 {"coliny_pattern_search",8,8,10,1,kw_31,0.,0.,0,N_mdm(lit,methodName_coliny_pattern_search)}, 679 {"coliny_solis_wets",8,4,10,1,kw_32,0.,0.,0,N_mdm(lit,methodName_coliny_solis_wets)}, 680 {"conmin_frcg",8,9,10,1,kw_10,0.,0.,0,N_mdm(lit,methodName_conmin_frcg)}, 681 {"conmin_mfd",8,9,10,1,kw_10,0.,0.,0,N_mdm(lit,methodName_conmin_mfd)}, 682 {"constraint_tolerance",10,0,8,0,0,0.,0.,0,N_mdm(Real,constraintTolerance)}, 683 {"convergence_tolerance",10,0,7,0,0,0.,0.,0,N_mdm(Real,convergenceTolerance)}, 684 {"dace",8,12,10,1,kw_35,0.,0.,0,N_mdm(lit,methodName_dace)}, 685 {"dl_solver",11,9,10,1,kw_10,0.,0.,0,N_mdm(slit2,3methodName_dl_solver)}, 686 {"dot",0x4008,9,10,1,kw_10,0.,0.,0,0,0,0,(void*)"dot.dll"}, 687 {"dot_bfgs",0x4000,9,10,1,kw_10,0.,0.,-1,0,0,0,(void*)"dot.dll"}, 688 {"dot_frcg",0x4000,9,10,1,kw_10,0.,0.,-2,0,0,0,(void*)"dot.dll"}, 689 {"dot_mmfd",0x4000,9,10,1,kw_10,0.,0.,-3,0,0,0,(void*)"dot.dll"}, 690 {"dot_slp",0x4000,9,10,1,kw_10,0.,0.,-4,0,0,0,(void*)"dot.dll"}, 691 {"dot_sqp",0x4000,9,10,1,kw_10,0.,0.,-5,0,0,0,(void*)"dot.dll"}, 692 {"efficient_global",8,1,10,1,kw_33,0.,0.,0,N_mdm(lit,methodName_efficient_global)}, 693 {"fsu_cvt",8,6,10,1,kw_37,0.,0.,0,N_mdm(lit,methodName_fsu_cvt)}, 694 {"fsu_quasi_mc",8,10,10,1,kw_38}, 695 {"id_method",11,0,1,0,0,0.,0.,0,N_mdm(str,idMethod)}, 696 {"jega",0x4008,9,10,1,kw_10,0.,0.,0,0,0,0,(void*)"jega.dll"}, 697 {"list_parameter_study",8,1,10,1,kw_39,0.,0.,0,N_mdm(lit,methodName_list_parameter_study)}, 698 {"max_function_evaluations",9,0,5,0,0,0.,0.,0,N_mdm(nnint,maxFunctionEvaluations)}, 699 {"max_iterations",9,0,4,0,0,0.,0.,0,N_mdm(nnint,maxIterations)}, 700 {"model_pointer",11,0,2,0,0,0.,0.,0,N_mdm(str,modelPointer)}, 701 {"moga",0x4000,9,10,1,kw_10,0.,0.,-5,0,0,0,(void*)"jega.dll"}, 702 {"multidim_parameter_study",8,1,10,1,kw_40,0.,0.,0,N_mdm(lit,methodName_multidim_parameter_study)}, 703 {"ncsu_direct",8,4,10,1,kw_41,0.,0.,0,N_mdm(lit,methodName_ncsu_direct)}, 704 {"nl2sol",8,9,10,1,kw_42,0.,0.,0,N_mdm(lit,methodName_nl2sol)}, 705 {"nlpql_sqp",0x4008,9,10,1,kw_10,0.,0.,0,0,0,0,(void*)"nlpql.dll"}, 706 {"nlssol",0x4000,9,10,1,kw_10,0.,0.,27,0,0,0,(void*)"npsol.dll"}, 707 {"nlssol_sqp",0x4000,9,10,1,kw_10,0.,0.,26,0,0,0,(void*)"npsol.dll"}, 708 {"nond_bayes_calib",8,1,10,1,kw_44,0.,0.,0,N_mdm(lit,methodName_nond_bayes_calib)}, 709 {"nond_global_evidence",8,3,10,1,kw_52,0.,0.,0,N_mdm(lit,methodName_nond_global_evidence)}, 710 {"nond_global_interval_est",8,3,10,1,kw_54,0.,0.,0,N_mdm(lit,methodName_nond_global_interval_est)}, 711 {"nond_global_reliability",8,6,10,1,kw_62,0.,0.,0,N_mdm(lit,methodName_nond_global_reliability)}, 712 {"nond_importance",8,1,10,1,kw_65,0.,0.,0,N_mdm(lit,methodName_nond_importance)}, 713 {"nond_local_evidence",8,6,10,1,kw_71,0.,0.,0,N_mdm(lit,methodName_nond_local_evidence)}, 714 {"nond_local_interval_est",8,2,10,1,kw_72,0.,0.,0,N_mdm(lit,methodName_nond_local_interval_est)}, 715 {"nond_local_reliability",8,4,10,1,kw_79,0.,0.,0,N_mdm(lit2,methodName_nond_local_reliability)}, 716 {"nond_polynomial_chaos",8,11,10,1,kw_91,0.,0.,0,N_mdm(lit,methodName_nond_polynomial_chaos)}, 717 {"nond_sampling",8,2,10,1,kw_94,0.,0.,0,N_mdm(lit,methodName_nond_sampling)}, 718 {"nond_stoch_collocation",8,6,10,1,kw_98,0.,0.,0,N_mdm(lit,methodName_nond_stoch_collocation)}, 719 {"nonlinear_cg",8,1,10,1,kw_99,0.,0.,0,N_mdm(lit,methodName_nonlinear_cg)}, 720 {"npsol",0x4000,9,10,1,kw_10,0.,0.,13,0,0,0,(void*)"npsol.dll"}, 721 {"npsol_sqp",0x4000,9,10,1,kw_10,0.,0.,12,0,0,0,(void*)"npsol.dll"}, 722 {"optpp_cg",8,0,10,1,kw_101,0.,0.,0,N_mdm(lit,methodName_optpp_cg)}, 723 {"optpp_fd_newton",8,5,10,1,kw_104,0.,0.,0,N_mdf(litpp,methodName_optpp_fd_newton)}, 724 {"optpp_g_newton",8,5,10,1,kw_104,0.,0.,0,N_mdf(litpp,methodName_optpp_g_newton)}, 725 {"optpp_newton",8,5,10,1,kw_104,0.,0.,0,N_mdf(litpp,methodName_optpp_newton)}, 726 {"optpp_pds",8,1,10,1,kw_102,0.,0.,0,N_mdm(lit,methodName_optpp_pds)}, 727 {"optpp_q_newton",8,5,10,1,kw_104,0.,0.,0,N_mdf(litpp,methodName_optpp_q_newton)}, 728 {"output",8,4,3,0,kw_105}, 729 {"psuade_moat",8,1,10,1,kw_106,0.,0.,0,N_mdm(lit,methodName_psuade_moat)}, 730 {"scaling",8,0,9,0,0,0.,0.,0,N_mdm(true,methodScaling)}, 731 {"soga",0x4000,9,10,1,kw_10,0.,0.,-35,0,0,0,(void*)"jega.dll"}, 732 {"speculative",8,0,6,0,0,0.,0.,0,N_mdm(true,speculativeFlag)}, 733 {"stanford",0x4008,9,10,1,kw_10,0.,0.,0,0,0,0,(void*)"npsol.dll"}, 734 {"surrogate_based_global",8,3,10,1,kw_107,0.,0.,0,N_mdm(lit,methodName_surrogate_based_global)}, 735 {"surrogate_based_local",8,9,10,1,kw_113,0.,0.,0,N_mdm(lit,methodName_surrogate_based_local)}, 736 {"vector_parameter_study",8,3,10,1,kw_114,0.,0.,0,N_mdm(lit,methodName_vector_parameter_study)} 737 }, 738 kw_116[1] = { 739 {"optional_interface_responses_pointer",11,0,1,0,0,0.,0.,0,N_mom(str,optionalInterfRespPointer)} 740 }, 741 kw_117[4] = { 742 {"primary_response_mapping",14,0,3,0,0,0.,0.,0,N_mom(RealDL,primaryRespCoeffs)}, 743 {"primary_variable_mapping",15,0,1,0,0,0.,0.,0,N_mom(strL,primaryVarMaps)}, 744 {"secondary_response_mapping",14,0,4,0,0,0.,0.,0,N_mom(RealDL,secondaryRespCoeffs)}, 745 {"secondary_variable_mapping",15,0,2,0,0,0.,0.,0,N_mom(strL,secondaryVarMaps)} 746 }, 747 kw_118[2] = { 748 {"optional_interface_pointer",11,1,1,0,kw_116,0.,0.,0,N_mom(str,interfacePointer)}, 749 {"sub_method_pointer",11,4,2,1,kw_117,0.,0.,0,N_mom(str,subMethodPointer)} 750 }, 751 kw_119[1] = { 752 {"interface_pointer",11,0,1,0,0,0.,0.,0,N_mom(str,interfacePointer)} 753 }, 754 kw_120[6] = { 755 {"additive",8,0,2,2,0,0.,0.,0,N_mom(lit,approxCorrectionType_additive)}, 756 {"combined",8,0,2,2,0,0.,0.,0,N_mom(lit,approxCorrectionType_combined)}, 757 {"first_order",8,0,1,1,0,0.,0.,0,N_mom(order,approxCorrectionOrder_1)}, 758 {"multiplicative",8,0,2,2,0,0.,0.,0,N_mom(lit,approxCorrectionType_multiplicative)}, 759 {"second_order",8,0,1,1,0,0.,0.,0,N_mom(order,approxCorrectionOrder_2)}, 760 {"zeroth_order",8,0,1,1,0,0.,0.,0,N_mom(order,approxCorrectionOrder_0)} 761 }, 762 kw_121[3] = { 763 {"constant",8,0,1,1,0,0.,0.,0,N_mom(order,trendOrder_0)}, 764 {"linear",8,0,1,1,0,0.,0.,0,N_mom(order,trendOrder_1)}, 765 {"quadratic",8,0,1,1,0,0.,0.,0,N_mom(order,trendOrder_2)} 766 }, 767 kw_122[2] = { 768 {"point_selection",8,0,1,0,0,0.,0.,0,N_mom(true,pointSelection)}, 769 {"trend",8,3,2,0,kw_121} 770 }, 771 kw_123[5] = { 772 {"conmin_seed",14,0,2,0,0,0.,0.,0,N_mom(RealDL,krigingConminSeed)}, 773 {"correlations",14,0,1,0,0,0.,0.,0,N_mom(RealDL,krigingCorrelations)}, 774 {"max_correlations",14,0,4,0,0,0.,0.,0,N_mom(RealDL,krigingMaxCorrelations)}, 775 {"max_trials",9,0,3,0,0,0.,0.,0,N_mom(shint,krigingMaxTrials)}, 776 {"min_correlations",14,0,5,0,0,0.,0.,0,N_mom(RealDL,krigingMinCorrelations)} 777 }, 778 kw_124[2] = { 779 {"cubic",8,0,1,1,0,0.,0.,0,N_mom(lit,marsInterpolation_cubic)}, 780 {"linear",8,0,1,1,0,0.,0.,0,N_mom(lit,marsInterpolation_linear)} 781 }, 782 kw_125[2] = { 783 {"interpolation",8,2,2,0,kw_124}, 784 {"max_bases",9,0,1,0,0,0.,0.,0,N_mom(shint,marsMaxBases)} 785 }, 786 kw_126[2] = { 787 {"poly_order",9,0,1,0,0,0.,0.,0,N_mom(shint,mlsPolyOrder)}, 788 {"weight_function",9,0,2,0,0,0.,0.,0,N_mom(shint,mlsWeightFunction)} 789 }, 790 kw_127[3] = { 791 {"nodes",9,0,1,0,0,0.,0.,0,N_mom(shint,annNodes)}, 792 {"random_weight",9,0,3,0,0,0.,0.,0,N_mom(shint,annRandomWeight)}, 793 {"range",10,0,2,0,0,0.,0.,0,N_mom(Real,annRange)} 794 }, 795 kw_128[3] = { 796 {"cubic",8,0,1,1,0,0.,0.,0,N_mom(order,polynomialOrder_3)}, 797 {"linear",8,0,1,1,0,0.,0.,0,N_mom(order,polynomialOrder_1)}, 798 {"quadratic",8,0,1,1,0,0.,0.,0,N_mom(order,polynomialOrder_2)} 799 }, 800 kw_129[4] = { 801 {"bases",9,0,1,0,0,0.,0.,0,N_mom(shint,rbfBases)}, 802 {"max_pts",9,0,2,0,0,0.,0.,0,N_mom(shint,rbfMaxPts)}, 803 {"max_subsets",9,0,4,0,0,0.,0.,0,N_mom(shint,rbfMaxSubsets)}, 804 {"min_partition",9,0,3,0,0,0.,0.,0,N_mom(shint,rbfMinPartition)} 805 }, 806 kw_130[3] = { 807 {"all",8,0,1,1,0,0.,0.,0,N_mom(lit,approxPointReuse_all)}, 808 {"none",8,0,1,1,0,0.,0.,0,N_mom(lit,approxPointReuse_none)}, 809 {"region",8,0,1,1,0,0.,0.,0,N_mom(lit,approxPointReuse_region)} 810 }, 811 kw_131[18] = { 812 {"correction",8,6,7,0,kw_120}, 813 {"dace_method_pointer",11,0,3,0,0,0.,0.,0,N_mom(str,subMethodPointer)}, 814 {"diagnostics",15,0,8,0,0,0.,0.,0,N_mom(strL,diagMetrics)}, 815 {"gaussian_process",8,2,1,1,kw_122,0.,0.,0,N_mom(lit,surrogateType_global_gaussian)}, 816 {"kriging",8,5,1,1,kw_123,0.,0.,0,N_mom(lit,surrogateType_global_kriging)}, 817 {"mars",8,2,1,1,kw_125,0.,0.,0,N_mom(lit,surrogateType_global_mars)}, 818 {"minimum_points",8,0,2,0,0,0.,0.,0,N_mom(true,pointsMinimum)}, 819 {"moving_least_squares",8,2,1,1,kw_126,0.,0.,0,N_mom(lit,surrogateType_global_moving_least_squares)}, 820 {"neural_network",8,3,1,1,kw_127,0.,0.,0,N_mom(lit,surrogateType_global_neural_network)}, 821 {"points_file",11,0,5,0,0,0.,0.,0,N_mom(str,approxPointReuseFile)}, 822 {"polynomial",8,3,1,1,kw_128,0.,0.,0,N_mom(lit,surrogateType_global_polynomial)}, 823 {"radial_basis",8,4,1,1,kw_129,0.,0.,0,N_mom(lit,surrogateType_global_radial_basis)}, 824 {"recommended_points",8,0,2,0,0,0.,0.,0,N_mom(true,pointsRecommended)}, 825 {"reuse_points",8,3,4,0,kw_130}, 826 {"reuse_samples",0,3,4,0,kw_130,0.,0.,-1}, 827 {"samples_file",3,0,5,0,0,0.,0.,-6,N_mom(str,approxPointReuseFile)}, 828 {"total_points",9,0,2,0,0,0.,0.,0,N_mom(int,pointsTotal)}, 829 {"use_gradients",8,0,6,0,0,0.,0.,0,N_mom(true,approxGradUsageFlag)} 830 }, 831 kw_132[6] = { 832 {"additive",8,0,2,2,0,0.,0.,0,N_mom(lit,approxCorrectionType_additive)}, 833 {"combined",8,0,2,2,0,0.,0.,0,N_mom(lit,approxCorrectionType_combined)}, 834 {"first_order",8,0,1,1,0,0.,0.,0,N_mom(order,approxCorrectionOrder_1)}, 835 {"multiplicative",8,0,2,2,0,0.,0.,0,N_mom(lit,approxCorrectionType_multiplicative)}, 836 {"second_order",8,0,1,1,0,0.,0.,0,N_mom(order,approxCorrectionOrder_2)}, 837 {"zeroth_order",8,0,1,1,0,0.,0.,0,N_mom(order,approxCorrectionOrder_0)} 838 }, 839 kw_133[3] = { 840 {"correction",8,6,3,3,kw_132}, 841 {"high_fidelity_model_pointer",11,0,2,2,0,0.,0.,0,N_mom(str,truthModelPointer)}, 842 {"low_fidelity_model_pointer",11,0,1,1,0,0.,0.,0,N_mom(str,lowFidelityModelPointer)} 843 }, 844 kw_134[1] = { 845 {"actual_model_pointer",11,0,1,1,0,0.,0.,0,N_mom(str,truthModelPointer)} 846 }, 847 kw_135[2] = { 848 {0,0,1,0,0,kw_134}, 849 {"taylor_series",8,0,1,1} 850 }, 851 kw_136[2] = { 852 {0,0,1,0,0,kw_134}, 853 {"tana",8,0,1,1} 854 }, 855 kw_137[5] = { 856 {"global",8,18,2,1,kw_131}, 857 {"hierarchical",8,3,2,1,kw_133,0.,0.,0,N_mom(lit,surrogateType_hierarchical)}, 858 {"id_surrogates",13,0,1,0,0,0.,0.,0,N_mom(intset,surrogateFnIndices)}, 859 {"local",8,1,2,1,kw_135,0.,0.,0,N_mom(lit,surrogateType_local_taylor)}, 860 {"multipoint",8,1,2,1,kw_136,0.,0.,0,N_mom(lit,surrogateType_multipoint_tana)} 861 }, 862 kw_138[6] = { 863 {"id_model",11,0,1,0,0,0.,0.,0,N_mom(str,idModel)}, 864 {"nested",8,2,4,1,kw_118,0.,0.,0,N_mom(lit,modelType_nested)}, 865 {"responses_pointer",11,0,3,0,0,0.,0.,0,N_mom(str,responsesPointer)}, 866 {"single",8,1,4,1,kw_119,0.,0.,0,N_mom(lit,modelType_single)}, 867 {"surrogate",8,5,4,1,kw_137,0.,0.,0,N_mom(lit,modelType_surrogate)}, 868 {"variables_pointer",11,0,2,0,0,0.,0.,0,N_mom(str,variablesPointer)} 869 }, 870 kw_139[1] = { 871 {"ignore_bounds",8,0,1,0,0,0.,0.,0,N_rem(true,ignoreBounds)} 872 }, 873 kw_140[8] = { 874 {"central",8,0,4,0,0,0.,0.,0,N_rem(lit,intervalType_central)}, 875 {"dakota",8,1,2,0,kw_139,0.,0.,0,N_rem(lit,methodSource_dakota)}, 876 {"fd_gradient_step_size",0x406,0,5,0,0,0.,0.,1,N_rem(RealL,fdGradStepSize)}, 877 {"fd_step_size",0x40e,0,5,0,0,0.,0.,0,N_rem(RealL,fdGradStepSize)}, 878 {"forward",8,0,4,0,0,0.,0.,0,N_rem(lit,intervalType_forward)}, 879 {"interval_type",8,0,3}, 880 {"method_source",8,0,1}, 881 {"vendor",8,0,2,0,0,0.,0.,0,N_rem(lit,methodSource_vendor)} 882 }, 883 kw_141[3] = { 884 {0,0,8,0,0,kw_140}, 885 {"id_analytic_gradients",13,0,2,2,0,0.,0.,0,N_rem(intL,idAnalyticGrads)}, 886 {"id_numerical_gradients",13,0,1,1,0,0.,0.,0,N_rem(intL,idNumericalGrads)} 887 }, 888 kw_142[2] = { 889 {"fd_hessian_step_size",6,0,1,0,0,0.,0.,1,N_rem(RealL,fdHessStepSize)}, 890 {"fd_step_size",14,0,1,0,0,0.,0.,0,N_rem(RealL,fdHessStepSize)} 891 }, 892 kw_143[1] = { 893 {"damped",8,0,1,0,0,0.,0.,0,N_rem(lit,quasiHessianType_damped_bfgs)} 894 }, 895 kw_144[2] = { 896 {"bfgs",8,1,1,1,kw_143,0.,0.,0,N_rem(lit,quasiHessianType_bfgs)}, 897 {"sr1",8,0,1,1,0,0.,0.,0,N_rem(lit,quasiHessianType_sr1)} 898 }, 899 kw_145[5] = { 900 {"central",8,0,2,0,0,0.,0.,0,N_rem(true,centralHess)}, 901 {"forward",8,0,2,0,0,0.,0.,0,N_rem(false,centralHess)}, 902 {"id_analytic_hessians",13,0,4,0,0,0.,0.,0,N_rem(intL,idAnalyticHessians)}, 903 {"id_numerical_hessians",13,2,1,0,kw_142,0.,0.,0,N_rem(intL,idNumericalHessians)}, 904 {"id_quasi_hessians",13,2,3,0,kw_144,0.,0.,0,N_rem(intL,idQuasiHessians)} 905 }, 906 kw_146[3] = { 907 {"nonlinear_equality_scale_types",0x80f,0,2,0,0,0.,0.,0,N_rem(strL,nonlinearEqScaleTypes)}, 908 {"nonlinear_equality_scales",0x80e,0,3,0,0,0.,0.,0,N_rem(RealDL,nonlinearEqScales)}, 909 {"nonlinear_equality_targets",14,0,1,0,0,0.,0.,0,N_rem(RealDL,nonlinearEqTargets)} 910 }, 911 kw_147[4] = { 912 {"nonlinear_inequality_lower_bounds",14,0,1,0,0,0.,0.,0,N_rem(RealDL,nonlinearIneqLowerBnds)}, 913 {"nonlinear_inequality_scale_types",0x80f,0,3,0,0,0.,0.,0,N_rem(strL,nonlinearIneqScaleTypes)}, 914 {"nonlinear_inequality_scales",0x80e,0,4,0,0,0.,0.,0,N_rem(RealDL,nonlinearIneqScales)}, 915 {"nonlinear_inequality_upper_bounds",14,0,2,0,0,0.,0.,0,N_rem(RealDL,nonlinearIneqUpperBnds)} 916 }, 917 kw_148[6] = { 918 {"least_squares_data_file",11,0,1,0,0,0.,0.,0,N_rem(str,leastSqDataFile)}, 919 {"least_squares_term_scale_types",0x80f,0,2,0,0,0.,0.,0,N_rem(strL,primaryRespFnScaleTypes)}, 920 {"least_squares_term_scales",0x80e,0,3,0,0,0.,0.,0,N_rem(RealDL,primaryRespFnScales)}, 921 {"least_squares_weights",14,0,4,0,0,0.,0.,0,N_rem(RealDL,primaryRespFnWeights)}, 922 {"num_nonlinear_equality_constraints",0x29,3,6,0,kw_146,0.,0.,0,N_rem(nnintz,numNonlinearEqConstraints)}, 923 {"num_nonlinear_inequality_constraints",0x29,4,5,0,kw_147,0.,0.,0,N_rem(nnintz,numNonlinearIneqConstraints)} 924 }, 925 kw_149[3] = { 926 {"nonlinear_equality_scale_types",0x80f,0,2,0,0,0.,0.,0,N_rem(strL,nonlinearEqScaleTypes)}, 927 {"nonlinear_equality_scales",0x80e,0,3,0,0,0.,0.,0,N_rem(RealDL,nonlinearEqScales)}, 928 {"nonlinear_equality_targets",14,0,1,0,0,0.,0.,0,N_rem(RealDL,nonlinearEqTargets)} 929 }, 930 kw_150[4] = { 931 {"nonlinear_inequality_lower_bounds",14,0,1,0,0,0.,0.,0,N_rem(RealDL,nonlinearIneqLowerBnds)}, 932 {"nonlinear_inequality_scale_types",0x80f,0,3,0,0,0.,0.,0,N_rem(strL,nonlinearIneqScaleTypes)}, 933 {"nonlinear_inequality_scales",0x80e,0,4,0,0,0.,0.,0,N_rem(RealDL,nonlinearIneqScales)}, 934 {"nonlinear_inequality_upper_bounds",14,0,2,0,0,0.,0.,0,N_rem(RealDL,nonlinearIneqUpperBnds)} 935 }, 936 kw_151[5] = { 937 {"multi_objective_weights",14,0,3,0,0,0.,0.,0,N_rem(RealDL,primaryRespFnWeights)}, 938 {"num_nonlinear_equality_constraints",0x29,3,5,0,kw_149,0.,0.,0,N_rem(nnintz,numNonlinearEqConstraints)}, 939 {"num_nonlinear_inequality_constraints",0x29,4,4,0,kw_150,0.,0.,0,N_rem(nnintz,numNonlinearIneqConstraints)}, 940 {"objective_function_scale_types",0x80f,0,1,0,0,0.,0.,0,N_rem(strL,primaryRespFnScaleTypes)}, 941 {"objective_function_scales",0x80e,0,2,0,0,0.,0.,0,N_rem(RealDL,primaryRespFnScales)} 942 }, 943 kw_152[4] = { 944 {"central",8,0,2,0,0,0.,0.,0,N_rem(true,centralHess)}, 945 {"fd_hessian_step_size",6,0,1,0,0,0.,0.,1,N_rem(RealL,fdHessStepSize)}, 946 {"fd_step_size",14,0,1,0,0,0.,0.,0,N_rem(RealL,fdHessStepSize)}, 947 {"forward",8,0,2,0,0,0.,0.,0,N_rem(false,centralHess)} 948 }, 949 kw_153[1] = { 950 {"damped",8,0,1,0,0,0.,0.,0,N_rem(lit,quasiHessianType_damped_bfgs)} 951 }, 952 kw_154[2] = { 953 {"bfgs",8,1,1,1,kw_153,0.,0.,0,N_rem(lit,quasiHessianType_bfgs)}, 954 {"sr1",8,0,1,1,0,0.,0.,0,N_rem(lit,quasiHessianType_sr1)} 955 }, 956 kw_155[15] = { 957 {"analytic_gradients",8,0,4,2,0,0.,0.,0,N_rem(lit,gradientType_analytic)}, 958 {"analytic_hessians",8,0,5,3,0,0.,0.,0,N_rem(lit,hessianType_analytic)}, 959 {"descriptors",15,0,2,0,0,0.,0.,0,N_rem(strL,responseLabels)}, 960 {"id_responses",11,0,1,0,0,0.,0.,0,N_rem(str,idResponses)}, 961 {"mixed_gradients",8,2,4,2,kw_141,0.,0.,0,N_rem(lit,gradientType_mixed)}, 962 {"mixed_hessians",8,5,5,3,kw_145,0.,0.,0,N_rem(lit,hessianType_mixed)}, 963 {"no_gradients",8,0,4,2,0,0.,0.,0,N_rem(lit,gradientType_none)}, 964 {"no_hessians",8,0,5,3,0,0.,0.,0,N_rem(lit,hessianType_none)}, 965 {"num_least_squares_terms",0x29,6,3,1,kw_148,0.,0.,0,N_rem(nnintz,numLeastSqTerms)}, 966 {"num_objective_functions",0x29,5,3,1,kw_151,0.,0.,0,N_rem(nnintz,numObjectiveFunctions)}, 967 {"num_response_functions",0x29,0,3,1,0,0.,0.,0,N_rem(nnintz,numResponseFunctions)}, 968 {"numerical_gradients",8,8,4,2,kw_140,0.,0.,0,N_rem(lit,gradientType_numerical)}, 969 {"numerical_hessians",8,4,5,3,kw_152,0.,0.,0,N_rem(lit,hessianType_numerical)}, 970 {"quasi_hessians",8,2,5,3,kw_154,0.,0.,0,N_rem(lit,hessianType_quasi)}, 971 {"response_descriptors",7,0,2,0,0,0.,0.,-12,N_rem(strL,responseLabels)} 972 }, 973 kw_156[1] = { 974 {"method_list",15,0,1,1,0,0.,0.,0,N_stm(strL,hybridMethodList)} 975 }, 976 kw_157[3] = { 977 {"global_method_pointer",11,0,1,1,0,0.,0.,0,N_stm(str,hybridGlobalMethodPointer)}, 978 {"local_method_pointer",11,0,2,2,0,0.,0.,0,N_stm(str,hybridLocalMethodPointer)}, 979 {"local_search_probability",10,0,3,0,0,0.,0.,0,N_stm(Real,hybridLSProb)} 980 }, 981 kw_158[2] = { 982 {"method_list",15,0,2,1,0,0.,0.,0,N_stm(strL,hybridMethodList)}, 983 {"num_solutions_transferred",9,0,1,0,0,0.,0.,0,N_stm(int,hybridNumSolnsTrans)} 984 }, 985 kw_159[5] = { 986 {"collaborative",8,1,1,1,kw_156,0.,0.,0,N_stm(lit,hybridType_collaborative)}, 987 {"coupled",0,3,1,1,kw_157,0.,0.,1,N_stm(lit,hybridType_embedded)}, 988 {"embedded",8,3,1,1,kw_157,0.,0.,0,N_stm(lit,hybridType_embedded)}, 989 {"sequential",8,2,1,1,kw_158,0.,0.,0,N_stm(lit,hybridType_sequential)}, 990 {"uncoupled",0,2,1,1,kw_158,0.,0.,-1,N_stm(lit,hybridType_sequential)} 991 }, 992 kw_160[1] = { 993 {"seed",9,0,1,0,0,0.,0.,0,N_stm(int,concurrentSeed)} 994 }, 995 kw_161[3] = { 996 {"method_pointer",11,0,1,1,0,0.,0.,0,N_stm(str,methodPointer)}, 997 {"random_starts",9,1,2,0,kw_160,0.,0.,0,N_stm(int,concurrentRandomJobs)}, 998 {"starting_points",14,0,3,0,0,0.,0.,0,N_stm(RealL,concurrentParameterSets)} 999 }, 1000 kw_162[1] = { 1001 {"seed",9,0,1,0,0,0.,0.,0,N_stm(int,concurrentSeed)} 1002 }, 1003 kw_163[5] = { 1004 {"method_pointer",11,0,1,1,0,0.,0.,0,N_stm(str,methodPointer)}, 1005 {"multi_objective_weight_sets",6,0,3,0,0,0.,0.,3,N_stm(RealL,concurrentParameterSets)}, 1006 {"opt_method_pointer",3,0,1,1,0,0.,0.,-2,N_stm(str,methodPointer)}, 1007 {"random_weight_sets",9,1,2,0,kw_162,0.,0.,0,N_stm(int,concurrentRandomJobs)}, 1008 {"weight_sets",14,0,3,0,0,0.,0.,0,N_stm(RealL,concurrentParameterSets)} 1009 }, 1010 kw_164[1] = { 1011 {"method_pointer",11,0,1,0,0,0.,0.,0,N_stm(str,methodPointer)} 1012 }, 1013 kw_165[1] = { 1014 {"tabular_graphics_file",11,0,1,0,0,0.,0.,0,N_stm(str,tabularDataFile)} 1015 }, 1016 kw_166[10] = { 1017 {"graphics",8,0,1,0,0,0.,0.,0,N_stm(true,graphicsFlag)}, 1018 {"hybrid",8,5,7,1,kw_159,0.,0.,0,N_stm(lit,strategyType_hybrid)}, 1019 {"iterator_self_scheduling",8,0,5,0,0,0.,0.,0,N_stm(lit,iteratorScheduling_self)}, 1020 {"iterator_servers",9,0,4,0,0,0.,0.,0,N_stm(int,iteratorServers)}, 1021 {"iterator_static_scheduling",8,0,6,0,0,0.,0.,0,N_stm(lit,iteratorScheduling_static)}, 1022 {"multi_start",8,3,7,1,kw_161,0.,0.,0,N_stm(lit,strategyType_multi_start)}, 1023 {"output_precision",0x29,0,3,0,0,0.,0.,0,N_stm(int,outputPrecision)}, 1024 {"pareto_set",8,5,7,1,kw_163,0.,0.,0,N_stm(lit,strategyType_pareto_set)}, 1025 {"single_method",8,1,7,1,kw_164,0.,0.,0,N_stm(lit,strategyType_single_method)}, 1026 {"tabular_graphics_data",8,1,2,0,kw_165,0.,0.,0,N_stm(true,tabularDataFlag)} 1027 }, 1028 kw_167[10] = { 1029 {"alphas",14,0,1,1,0,0.,0.,0,N_vam(RealLb,betaUncAlphas)}, 1030 {"betas",14,0,2,2,0,0.,0.,0,N_vam(RealLb,betaUncBetas)}, 1031 {"buv_alphas",6,0,1,1,0,0.,0.,-2,N_vam(RealLb,betaUncAlphas)}, 1032 {"buv_betas",6,0,2,2,0,0.,0.,-2,N_vam(RealLb,betaUncBetas)}, 1033 {"buv_descriptors",7,0,5,0,0,0.,0.,3,N_vae(caulbl,CAUVar_beta)}, 1034 {"buv_lower_bounds",6,0,3,3,0,0.,0.,3,N_vam(RealLd,betaUncLowerBnds)}, 1035 {"buv_upper_bounds",6,0,4,4,0,0.,0.,3,N_vam(RealLd,betaUncUpperBnds)}, 1036 {"descriptors",15,0,5,0,0,0.,0.,0,N_vae(caulbl,CAUVar_beta)}, 1037 {"lower_bounds",14,0,3,3,0,0.,0.,0,N_vam(RealLd,betaUncLowerBnds)}, 1038 {"upper_bounds",14,0,4,4,0,0.,0.,0,N_vam(RealLd,betaUncUpperBnds)} 1039 }, 1040 kw_168[3] = { 1041 {"descriptors",15,0,3,0,0,0.,0.,0,N_vae(dailbl,DAUIVar_binomial)}, 1042 {"num_trials",13,0,2,2,0,0.,0.,0,N_vam(intDL,binomialUncNumTrials)}, 1043 {"prob_per_trial",14,0,1,1,0,0.,0.,0,N_vam(RealLd,binomialUncProbPerTrial)} 1044 }, 1045 kw_169[12] = { 1046 {"cdv_descriptors",7,0,6,0,0,0.,0.,6,N_vam(strL,continuousDesignLabels)}, 1047 {"cdv_initial_point",6,0,1,0,0,0.,0.,6,N_vam(RealLd,continuousDesignVars)}, 1048 {"cdv_lower_bounds",6,0,2,0,0,0.,0.,6,N_vam(RealLd,continuousDesignLowerBnds)}, 1049 {"cdv_scale_types",0x807,0,4,0,0,0.,0.,6,N_vam(strL,continuousDesignScaleTypes)}, 1050 {"cdv_scales",0x806,0,5,0,0,0.,0.,6,N_vam(RealLd,continuousDesignScales)}, 1051 {"cdv_upper_bounds",6,0,3,0,0,0.,0.,6,N_vam(RealLd,continuousDesignUpperBnds)}, 1052 {"descriptors",15,0,6,0,0,0.,0.,0,N_vam(strL,continuousDesignLabels)}, 1053 {"initial_point",14,0,1,0,0,0.,0.,0,N_vam(RealLd,continuousDesignVars)}, 1054 {"lower_bounds",14,0,2,0,0,0.,0.,0,N_vam(RealLd,continuousDesignLowerBnds)}, 1055 {"scale_types",0x80f,0,4,0,0,0.,0.,0,N_vam(strL,continuousDesignScaleTypes)}, 1056 {"scales",0x80e,0,5,0,0,0.,0.,0,N_vam(RealLd,continuousDesignScales)}, 1057 {"upper_bounds",14,0,3,0,0,0.,0.,0,N_vam(RealLd,continuousDesignUpperBnds)} 1058 }, 1059 kw_170[8] = { 1060 {"csv_descriptors",7,0,4,0,0,0.,0.,4,N_vam(strL,continuousStateLabels)}, 1061 {"csv_initial_state",6,0,1,0,0,0.,0.,4,N_vam(RealLd,continuousStateVars)}, 1062 {"csv_lower_bounds",6,0,2,0,0,0.,0.,4,N_vam(RealLd,continuousStateLowerBnds)}, 1063 {"csv_upper_bounds",6,0,3,0,0,0.,0.,4,N_vam(RealLd,continuousStateUpperBnds)}, 1064 {"descriptors",15,0,4,0,0,0.,0.,0,N_vam(strL,continuousStateLabels)}, 1065 {"initial_state",14,0,1,0,0,0.,0.,0,N_vam(RealLd,continuousStateVars)}, 1066 {"lower_bounds",14,0,2,0,0,0.,0.,0,N_vam(RealLd,continuousStateLowerBnds)}, 1067 {"upper_bounds",14,0,3,0,0,0.,0.,0,N_vam(RealLd,continuousStateUpperBnds)} 1068 }, 1069 kw_171[8] = { 1070 {"ddv_descriptors",7,0,4,0,0,0.,0.,4,N_vam(strL,discreteDesignRangeLabels)}, 1071 {"ddv_initial_point",5,0,1,0,0,0.,0.,4,N_vam(intDL,discreteDesignRangeVars)}, 1072 {"ddv_lower_bounds",5,0,2,0,0,0.,0.,4,N_vam(intDL,discreteDesignRangeLowerBnds)}, 1073 {"ddv_upper_bounds",5,0,3,0,0,0.,0.,4,N_vam(intDL,discreteDesignRangeUpperBnds)}, 1074 {"descriptors",15,0,4,0,0,0.,0.,0,N_vam(strL,discreteDesignRangeLabels)}, 1075 {"initial_point",13,0,1,0,0,0.,0.,0,N_vam(intDL,discreteDesignRangeVars)}, 1076 {"lower_bounds",13,0,2,0,0,0.,0.,0,N_vam(intDL,discreteDesignRangeLowerBnds)}, 1077 {"upper_bounds",13,0,3,0,0,0.,0.,0,N_vam(intDL,discreteDesignRangeUpperBnds)} 1078 }, 1079 kw_172[4] = { 1080 {"descriptors",15,0,4,0,0,0.,0.,0,N_vam(strL,discreteDesignSetIntLabels)}, 1081 {"initial_point",13,0,1,0,0,0.,0.,0,N_vam(intDL,discreteDesignSetIntVars)}, 1082 {"num_set_values",13,0,2,0,0,0.,0.,0,N_vam(vil,Var_Info_ndsvi)}, 1083 {"set_values",13,0,3,1,0,0.,0.,0,N_vam(vil,Var_Info_dsvi)} 1084 }, 1085 kw_173[4] = { 1086 {"descriptors",15,0,4,0,0,0.,0.,0,N_vam(strL,discreteDesignSetRealLabels)}, 1087 {"initial_point",14,0,1,0,0,0.,0.,0,N_vam(RealLd,discreteDesignSetRealVars)}, 1088 {"num_set_values",13,0,2,0,0,0.,0.,0,N_vam(vil,Var_Info_ndsvr)}, 1089 {"set_values",14,0,3,1,0,0.,0.,0,N_vam(vrl,Var_Info_dsvr)} 1090 }, 1091 kw_174[8] = { 1092 {"descriptors",15,0,4,0,0,0.,0.,0,N_vam(strL,discreteStateRangeLabels)}, 1093 {"dsv_descriptors",7,0,4,0,0,0.,0.,-1,N_vam(strL,discreteStateRangeLabels)}, 1094 {"dsv_initial_state",5,0,1,0,0,0.,0.,3,N_vam(intDL,discreteStateRangeVars)}, 1095 {"dsv_lower_bounds",5,0,2,0,0,0.,0.,3,N_vam(intDL,discreteStateRangeLowerBnds)}, 1096 {"dsv_upper_bounds",5,0,3,0,0,0.,0.,3,N_vam(intDL,discreteStateRangeUpperBnds)}, 1097 {"initial_state",13,0,1,0,0,0.,0.,0,N_vam(intDL,discreteStateRangeVars)}, 1098 {"lower_bounds",13,0,2,0,0,0.,0.,0,N_vam(intDL,discreteStateRangeLowerBnds)}, 1099 {"upper_bounds",13,0,3,0,0,0.,0.,0,N_vam(intDL,discreteStateRangeUpperBnds)} 1100 }, 1101 kw_175[4] = { 1102 {"descriptors",15,0,4,0,0,0.,0.,0,N_vam(strL,discreteStateSetIntLabels)}, 1103 {"initial_state",13,0,1,0,0,0.,0.,0,N_vam(intDL,discreteStateSetIntVars)}, 1104 {"num_set_values",13,0,2,0,0,0.,0.,0,N_vam(vil,Var_Info_nssvi)}, 1105 {"set_values",13,0,3,1,0,0.,0.,0,N_vam(vil,Var_Info_ssvi)} 1106 }, 1107 kw_176[4] = { 1108 {"descriptors",15,0,4,0,0,0.,0.,0,N_vam(strL,discreteStateSetRealLabels)}, 1109 {"initial_state",14,0,1,0,0,0.,0.,0,N_vam(RealLd,discreteStateSetRealVars)}, 1110 {"num_set_values",13,0,2,0,0,0.,0.,0,N_vam(vil,Var_Info_nssvr)}, 1111 {"set_values",14,0,3,1,0,0.,0.,0,N_vam(vrl,Var_Info_ssvr)} 1112 }, 1113 kw_177[4] = { 1114 {"betas",14,0,1,1,0,0.,0.,0,N_vam(RealLb,exponentialUncBetas)}, 1115 {"descriptors",15,0,2,0,0,0.,0.,0,N_vae(caulbl,CAUVar_exponential)}, 1116 {"euv_betas",6,0,1,1,0,0.,0.,-2,N_vam(RealLb,exponentialUncBetas)}, 1117 {"euv_descriptors",7,0,2,0,0,0.,0.,-2,N_vae(caulbl,CAUVar_exponential)} 1118 }, 1119 kw_178[6] = { 1120 {"alphas",14,0,1,1,0,0.,0.,0,N_vam(RealLb,frechetUncAlphas)}, 1121 {"betas",14,0,2,2,0,0.,0.,0,N_vam(RealLd,frechetUncBetas)}, 1122 {"descriptors",15,0,3,0,0,0.,0.,0,N_vae(caulbl,CAUVar_frechet)}, 1123 {"fuv_alphas",6,0,1,1,0,0.,0.,-3,N_vam(RealLb,frechetUncAlphas)}, 1124 {"fuv_betas",6,0,2,2,0,0.,0.,-3,N_vam(RealLd,frechetUncBetas)}, 1125 {"fuv_descriptors",7,0,3,0,0,0.,0.,-3,N_vae(caulbl,CAUVar_frechet)} 1126 }, 1127 kw_179[6] = { 1128 {"alphas",14,0,1,1,0,0.,0.,0,N_vam(RealLb,gammaUncAlphas)}, 1129 {"betas",14,0,2,2,0,0.,0.,0,N_vam(RealLb,gammaUncBetas)}, 1130 {"descriptors",15,0,3,0,0,0.,0.,0,N_vae(caulbl,CAUVar_gamma)}, 1131 {"gauv_alphas",6,0,1,1,0,0.,0.,-3,N_vam(RealLb,gammaUncAlphas)}, 1132 {"gauv_betas",6,0,2,2,0,0.,0.,-3,N_vam(RealLb,gammaUncBetas)}, 1133 {"gauv_descriptors",7,0,3,0,0,0.,0.,-3,N_vae(caulbl,CAUVar_gamma)} 1134 }, 1135 kw_180[2] = { 1136 {"descriptors",15,0,2,0,0,0.,0.,0,N_vae(dailbl,DAUIVar_geometric)}, 1137 {"prob_per_trial",14,0,1,1,0,0.,0.,0,N_vam(RealLd,geometricUncProbPerTrial)} 1138 }, 1139 kw_181[6] = { 1140 {"alphas",14,0,1,1,0,0.,0.,0,N_vam(RealLb,gumbelUncAlphas)}, 1141 {"betas",14,0,2,2,0,0.,0.,0,N_vam(RealLd,gumbelUncBetas)}, 1142 {"descriptors",15,0,3,0,0,0.,0.,0,N_vae(caulbl,CAUVar_gumbel)}, 1143 {"guuv_alphas",6,0,1,1,0,0.,0.,-3,N_vam(RealLb,gumbelUncAlphas)}, 1144 {"guuv_betas",6,0,2,2,0,0.,0.,-3,N_vam(RealLd,gumbelUncBetas)}, 1145 {"guuv_descriptors",7,0,3,0,0,0.,0.,-3,N_vae(caulbl,CAUVar_gumbel)} 1146 }, 1147 kw_182[10] = { 1148 {"abscissas",14,0,2,1,0,0.,0.,0,N_vam(vrl,Var_Info_ba)}, 1149 {"counts",14,0,3,2,0,0.,0.,0,N_vam(vrl,Var_Info_bc)}, 1150 {"descriptors",15,0,4,0,0,0.,0.,0,N_vae(caulbl,CAUVar_histogram_bin)}, 1151 {"huv_bin_abscissas",6,0,2,1,0,0.,0.,-3,N_vam(vrl,Var_Info_ba)}, 1152 {"huv_bin_counts",6,0,3,2,0,0.,0.,-3,N_vam(vrl,Var_Info_bc)}, 1153 {"huv_bin_descriptors",7,0,4,0,0,0.,0.,-3,N_vae(caulbl,CAUVar_histogram_bin)}, 1154 {"huv_bin_ordinates",6,0,3,2,0,0.,0.,3,N_vam(vrl,Var_Info_bo)}, 1155 {"huv_num_bin_pairs",5,0,1,0,0,0.,0.,1,N_vam(vil,Var_Info_nbp)}, 1156 {"num_pairs",13,0,1,0,0,0.,0.,0,N_vam(vil,Var_Info_nbp)}, 1157 {"ordinates",14,0,3,2,0,0.,0.,0,N_vam(vrl,Var_Info_bo)} 1158 }, 1159 kw_183[8] = { 1160 {"abscissas",14,0,2,1,0,0.,0.,0,N_vam(vrl,Var_Info_pa)}, 1161 {"counts",14,0,3,2,0,0.,0.,0,N_vam(vrl,Var_Info_pc)}, 1162 {"descriptors",15,0,4,0,0,0.,0.,0,N_vae(darlbl,DAURVar_histogram_point)}, 1163 {"huv_num_point_pairs",5,0,1,0,0,0.,0.,4,N_vam(vil,Var_Info_npp)}, 1164 {"huv_point_abscissas",6,0,2,1,0,0.,0.,-4,N_vam(vrl,Var_Info_pa)}, 1165 {"huv_point_counts",6,0,3,2,0,0.,0.,-4,N_vam(vrl,Var_Info_pc)}, 1166 {"huv_point_descriptors",7,0,4,0,0,0.,0.,-4,N_vae(darlbl,DAURVar_histogram_point)}, 1167 {"num_pairs",13,0,1,0,0,0.,0.,0,N_vam(vil,Var_Info_npp)} 1168 }, 1169 kw_184[4] = { 1170 {"descriptors",15,0,4,0,0,0.,0.,0,N_vae(dailbl,DAUIVar_hypergeometric)}, 1171 {"num_drawn",13,0,3,3,0,0.,0.,0,N_vam(intDL,hyperGeomUncNumDrawn)}, 1172 {"selected_population",13,0,2,2,0,0.,0.,0,N_vam(intDL,hyperGeomUncSelectedPop)}, 1173 {"total_population",13,0,1,1,0,0.,0.,0,N_vam(intDL,hyperGeomUncTotalPop)} 1174 }, 1175 kw_185[8] = { 1176 {"descriptors",15,0,4,0,0,0.,0.,0,N_vae(ceulbl,CEUVar_interval)}, 1177 {"interval_bounds",14,0,3,2,0,0.,0.,0,N_vam(vrl,Var_Info_Ivb)}, 1178 {"interval_probs",14,0,2,1,0,0.,0.,0,N_vam(vrl,Var_Info_Ivp)}, 1179 {"iuv_descriptors",7,0,4,0,0,0.,0.,-3,N_vae(ceulbl,CEUVar_interval)}, 1180 {"iuv_interval_bounds",6,0,3,2,0,0.,0.,-3,N_vam(vrl,Var_Info_Ivb)}, 1181 {"iuv_interval_probs",6,0,2,1,0,0.,0.,-3,N_vam(vrl,Var_Info_Ivp)}, 1182 {"iuv_num_intervals",5,0,1,0,0,0.,0.,1,N_vam(vil,Var_Info_nIv)}, 1183 {"num_intervals",13,0,1,0,0,0.,0.,0,N_vam(vil,Var_Info_nIv)} 1184 }, 1185 kw_186[2] = { 1186 {"lnuv_zetas",6,0,1,1,0,0.,0.,1,N_vam(RealLb,lognormalUncZetas)}, 1187 {"zetas",14,0,1,1,0,0.,0.,0,N_vam(RealLb,lognormalUncZetas)} 1188 }, 1189 kw_187[4] = { 1190 {"error_factors",14,0,1,1,0,0.,0.,0,N_vam(RealLb,lognormalUncErrFacts)}, 1191 {"lnuv_error_factors",6,0,1,1,0,0.,0.,-1,N_vam(RealLb,lognormalUncErrFacts)}, 1192 {"lnuv_std_deviations",6,0,1,1,0,0.,0.,1,N_vam(RealLb,lognormalUncStdDevs)}, 1193 {"std_deviations",14,0,1,1,0,0.,0.,0,N_vam(RealLb,lognormalUncStdDevs)} 1194 }, 1195 kw_188[10] = { 1196 {"descriptors",15,0,4,0,0,0.,0.,0,N_vae(caulbl,CAUVar_lognormal)}, 1197 {"lambdas",14,2,1,1,kw_186,0.,0.,0,N_vam(RealLd,lognormalUncLambdas)}, 1198 {"lnuv_descriptors",7,0,4,0,0,0.,0.,-2,N_vae(caulbl,CAUVar_lognormal)}, 1199 {"lnuv_lambdas",6,2,1,1,kw_186,0.,0.,-2,N_vam(RealLd,lognormalUncLambdas)}, 1200 {"lnuv_lower_bounds",6,0,2,0,0,0.,0.,3,N_vam(RealLb,lognormalUncLowerBnds)}, 1201 {"lnuv_means",6,4,1,1,kw_187,0.,0.,3,N_vam(RealLb,lognormalUncMeans)}, 1202 {"lnuv_upper_bounds",6,0,3,0,0,0.,0.,3,N_vam(RealUb,lognormalUncUpperBnds)}, 1203 {"lower_bounds",14,0,2,0,0,0.,0.,0,N_vam(RealLb,lognormalUncLowerBnds)}, 1204 {"means",14,4,1,1,kw_187,0.,0.,0,N_vam(RealLb,lognormalUncMeans)}, 1205 {"upper_bounds",14,0,3,0,0,0.,0.,0,N_vam(RealUb,lognormalUncUpperBnds)} 1206 }, 1207 kw_189[6] = { 1208 {"descriptors",15,0,3,0,0,0.,0.,0,N_vae(caulbl,CAUVar_loguniform)}, 1209 {"lower_bounds",14,0,1,1,0,0.,0.,0,N_vam(RealLb,loguniformUncLowerBnds)}, 1210 {"luuv_descriptors",7,0,3,0,0,0.,0.,-2,N_vae(caulbl,CAUVar_loguniform)}, 1211 {"luuv_lower_bounds",6,0,1,1,0,0.,0.,-2,N_vam(RealLb,loguniformUncLowerBnds)}, 1212 {"luuv_upper_bounds",6,0,2,2,0,0.,0.,1,N_vam(RealUb,loguniformUncUpperBnds)}, 1213 {"upper_bounds",14,0,2,2,0,0.,0.,0,N_vam(RealUb,loguniformUncUpperBnds)} 1214 }, 1215 kw_190[3] = { 1216 {"descriptors",15,0,3,0,0,0.,0.,0,N_vae(dailbl,DAUIVar_negative_binomial)}, 1217 {"num_trials",13,0,2,2,0,0.,0.,0,N_vam(intDL,negBinomialUncNumTrials)}, 1218 {"prob_per_trial",14,0,1,1,0,0.,0.,0,N_vam(RealLd,negBinomialUncProbPerTrial)} 1219 }, 1220 kw_191[10] = { 1221 {"descriptors",15,0,5,0,0,0.,0.,0,N_vae(caulbl,CAUVar_normal)}, 1222 {"lower_bounds",14,0,3,0,0,0.,0.,0,N_vam(RealLd,normalUncLowerBnds)}, 1223 {"means",14,0,1,1,0,0.,0.,0,N_vam(RealLd,normalUncMeans)}, 1224 {"nuv_descriptors",7,0,5,0,0,0.,0.,-3,N_vae(caulbl,CAUVar_normal)}, 1225 {"nuv_lower_bounds",6,0,3,0,0,0.,0.,-3,N_vam(RealLd,normalUncLowerBnds)}, 1226 {"nuv_means",6,0,1,1,0,0.,0.,-3,N_vam(RealLd,normalUncMeans)}, 1227 {"nuv_std_deviations",6,0,2,2,0,0.,0.,2,N_vam(RealLb,normalUncStdDevs)}, 1228 {"nuv_upper_bounds",6,0,4,0,0,0.,0.,2,N_vam(RealLd,normalUncUpperBnds)}, 1229 {"std_deviations",14,0,2,2,0,0.,0.,0,N_vam(RealLb,normalUncStdDevs)}, 1230 {"upper_bounds",14,0,4,0,0,0.,0.,0,N_vam(RealLd,normalUncUpperBnds)} 1231 }, 1232 kw_192[2] = { 1233 {"descriptors",15,0,2,0,0,0.,0.,0,N_vae(dailbl,DAUIVar_poisson)}, 1234 {"lambdas",14,0,1,1,0,0.,0.,0,N_vam(RealLd,poissonUncLambdas)} 1235 }, 1236 kw_193[8] = { 1237 {"descriptors",15,0,4,0,0,0.,0.,0,N_vae(caulbl,CAUVar_triangular)}, 1238 {"lower_bounds",14,0,2,2,0,0.,0.,0,N_vam(RealLb,triangularUncLowerBnds)}, 1239 {"modes",14,0,1,1,0,0.,0.,0,N_vam(RealLd,triangularUncModes)}, 1240 {"tuv_descriptors",7,0,4,0,0,0.,0.,-3,N_vae(caulbl,CAUVar_triangular)}, 1241 {"tuv_lower_bounds",6,0,2,2,0,0.,0.,-3,N_vam(RealLb,triangularUncLowerBnds)}, 1242 {"tuv_modes",6,0,1,1,0,0.,0.,-3,N_vam(RealLd,triangularUncModes)}, 1243 {"tuv_upper_bounds",6,0,3,3,0,0.,0.,1,N_vam(RealUb,triangularUncUpperBnds)}, 1244 {"upper_bounds",14,0,3,3,0,0.,0.,0,N_vam(RealUb,triangularUncUpperBnds)} 1245 }, 1246 kw_194[6] = { 1247 {"descriptors",15,0,3,0,0,0.,0.,0,N_vae(caulbl,CAUVar_uniform)}, 1248 {"lower_bounds",14,0,1,1,0,0.,0.,0,N_vam(RealLb,uniformUncLowerBnds)}, 1249 {"upper_bounds",14,0,2,2,0,0.,0.,0,N_vam(RealUb,uniformUncUpperBnds)}, 1250 {"uuv_descriptors",7,0,3,0,0,0.,0.,-3,N_vae(caulbl,CAUVar_uniform)}, 1251 {"uuv_lower_bounds",6,0,1,1,0,0.,0.,-3,N_vam(RealLb,uniformUncLowerBnds)}, 1252 {"uuv_upper_bounds",6,0,2,2,0,0.,0.,-3,N_vam(RealUb,uniformUncUpperBnds)} 1253 }, 1254 kw_195[6] = { 1255 {"alphas",14,0,1,1,0,0.,0.,0,N_vam(RealLb,weibullUncAlphas)}, 1256 {"betas",14,0,2,2,0,0.,0.,0,N_vam(RealLb,weibullUncBetas)}, 1257 {"descriptors",15,0,3,0,0,0.,0.,0,N_vae(caulbl,CAUVar_weibull)}, 1258 {"wuv_alphas",6,0,1,1,0,0.,0.,-3,N_vam(RealLb,weibullUncAlphas)}, 1259 {"wuv_betas",6,0,2,2,0,0.,0.,-3,N_vam(RealLb,weibullUncBetas)}, 1260 {"wuv_descriptors",7,0,3,0,0,0.,0.,-3,N_vae(caulbl,CAUVar_weibull)} 1261 }, 1262 kw_196[29] = { 1263 {"beta_uncertain",0x19,10,12,0,kw_167,0.,0.,0,N_vam(intz,numBetaUncVars)}, 1264 {"binomial_uncertain",0x19,3,19,0,kw_168,0.,0.,0,N_vam(intz,numBinomialUncVars)}, 1265 {"continuous_design",0x19,12,2,0,kw_169,0.,0.,0,N_vam(intz,numContinuousDesVars)}, 1266 {"continuous_state",0x19,8,26,0,kw_170,0.,0.,0,N_vam(intz,numContinuousStateVars)}, 1267 {"discrete_design_range",0x19,8,3,0,kw_171,0.,0.,0,N_vam(intz,numDiscreteDesRangeVars)}, 1268 {"discrete_design_set_integer",0x19,4,4,0,kw_172,0.,0.,0,N_vam(intz,numDiscreteDesSetIntVars)}, 1269 {"discrete_design_set_real",0x19,4,5,0,kw_173,0.,0.,0,N_vam(intz,numDiscreteDesSetRealVars)}, 1270 {"discrete_state_range",0x19,8,27,0,kw_174,0.,0.,0,N_vam(intz,numDiscreteStateRangeVars)}, 1271 {"discrete_state_set_integer",0x19,4,28,0,kw_175,0.,0.,0,N_vam(intz,numDiscreteStateSetIntVars)}, 1272 {"discrete_state_set_real",0x19,4,29,0,kw_176,0.,0.,0,N_vam(intz,numDiscreteStateSetRealVars)}, 1273 {"exponential_uncertain",0x19,4,11,0,kw_177,0.,0.,0,N_vam(intz,numExponentialUncVars)}, 1274 {"frechet_uncertain",0x19,6,15,0,kw_178,0.,0.,0,N_vam(intz,numFrechetUncVars)}, 1275 {"gamma_uncertain",0x19,6,13,0,kw_179,0.,0.,0,N_vam(intz,numGammaUncVars)}, 1276 {"geometric_uncertain",0x19,2,21,0,kw_180,0.,0.,0,N_vam(intz,numGeometricUncVars)}, 1277 {"gumbel_uncertain",0x19,6,14,0,kw_181,0.,0.,0,N_vam(intz,numGumbelUncVars)}, 1278 {"histogram_bin_uncertain",0x19,10,17,0,kw_182,0.,0.,0,N_vam(intz,numHistogramBinUncVars)}, 1279 {"histogram_point_uncertain",0x19,8,23,0,kw_183,0.,0.,0,N_vam(intz,numHistogramPtUncVars)}, 1280 {"hypergeometric_uncertain",0x19,4,22,0,kw_184,0.,0.,0,N_vam(intz,numHyperGeomUncVars)}, 1281 {"id_variables",11,0,1,0,0,0.,0.,0,N_vam(str,idVariables)}, 1282 {"interval_uncertain",0x19,8,25,0,kw_185,0.,0.,0,N_vam(intz,numIntervalUncVars)}, 1283 {"lognormal_uncertain",0x19,10,7,0,kw_188,0.,0.,0,N_vam(intz,numLognormalUncVars)}, 1284 {"loguniform_uncertain",0x19,6,9,0,kw_189,0.,0.,0,N_vam(intz,numLoguniformUncVars)}, 1285 {"negative_binomial_uncertain",0x19,3,20,0,kw_190,0.,0.,0,N_vam(intz,numNegBinomialUncVars)}, 1286 {"normal_uncertain",0x19,10,6,0,kw_191,0.,0.,0,N_vam(intz,numNormalUncVars)}, 1287 {"poisson_uncertain",0x19,2,18,0,kw_192,0.,0.,0,N_vam(intz,numPoissonUncVars)}, 1288 {"triangular_uncertain",0x19,8,10,0,kw_193,0.,0.,0,N_vam(intz,numTriangularUncVars)}, 1289 {"uncertain_correlation_matrix",14,0,24,0,0,0.,0.,0,N_vam(vrl,Var_Info_ucm)}, 1290 {"uniform_uncertain",0x19,6,8,0,kw_194,0.,0.,0,N_vam(intz,numUniformUncVars)}, 1291 {"weibull_uncertain",0x19,6,16,0,kw_195,0.,0.,0,N_vam(intz,numWeibullUncVars)} 1292 }, 1293 kw_197[6] = { 1294 {"interface",0x308,10,5,5,kw_9,0.,0.,0,N_ifm3(start,0,stop)}, 1295 {"method",0x308,65,2,2,kw_115,0.,0.,0,N_mdm3(start,0,stop)}, 1296 {"model",8,6,3,3,kw_138,0.,0.,0,N_mom3(start,0,stop)}, 1297 {"responses",0x308,15,6,6,kw_155,0.,0.,0,N_rem3(start,0,stop)}, 1298 {"strategy",0x108,10,1,1,kw_166,0.,0.,0,NIDRProblemDescDB::strategy_start}, 1299 {"variables",0x308,29,4,4,kw_196,0.,0.,0,N_vam3(start,0,stop)} 1300 }; 1301 1302 } // namespace Dakota 1303 1304 KeyWord Dakota_Keyword_Top = {"KeywordTop",0,6,0,0,Dakota::kw_197}; 1305