Dakota
Version 6.15
Explore and Predict with Confidence

Body class for responses specification data. More...
Public Member Functions  
~DataResponsesRep ()  
destructor  
Public Attributes  
String  idResponses 
string identifier for the responses specification data set (from the id_responses specification in RespSetId)  
StringArray  responseLabels 
the response labels array (from the response_descriptors specification in RespLabels)  
size_t  numObjectiveFunctions 
number of objective functions (from the num_objective_functions specification in RespFnOpt)  
size_t  numLeastSqTerms 
number of least squares terms (from the num_calibration_terms specification in RespFnLS)  
size_t  numNonlinearIneqConstraints 
number of nonlinear inequality constraints (from the num_nonlinear_inequality_constraints specification in RespFnOpt)  
size_t  numNonlinearEqConstraints 
number of nonlinear equality constraints (from the num_nonlinear_equality_constraints specification in RespFnOpt)  
size_t  numResponseFunctions 
number of generic response functions (from the num_response_functions specification in RespFnGen)  
size_t  numScalarObjectiveFunctions 
scalar_objectives: number of objective functions which are scalar  
size_t  numScalarLeastSqTerms 
scalar_calibration_terms: number of calibration terms which are scalar  
size_t  numScalarNonlinearIneqConstraints 
number of scalar nonlinear inequality constraints (from the num_scalar_nonlinear_inequality_constraints specification in RespFnOpt)  
size_t  numScalarNonlinearEqConstraints 
number of scalar nonlinear equality constraints (from the num_scalar_nonlinear_equality_constraints specification in RespFnOpt)  
size_t  numScalarResponseFunctions 
scalar_responses: number of response functions which are scalar  
size_t  numFieldObjectiveFunctions 
field_objectives: number of objective functions which are fieldvalued  
size_t  numFieldLeastSqTerms 
field_calibration_terms: number of calibration terms which are fieldvalued  
size_t  numFieldNonlinearIneqConstraints 
number of field nonlinear inequality constraints (from the num_scalar_nonlinear_inequality_constraints specification in RespFnOpt)  
size_t  numFieldNonlinearEqConstraints 
number of field nonlinear equality constraints (from the num_scalar_nonlinear_equality_constraints specification in RespFnOpt)  
size_t  numFieldResponseFunctions 
field_responses: number of response functions which are fieldvalued  
StringArray  primaryRespFnSense 
optimization sense for each objective function: minimize or maximize  
RealVector  primaryRespFnWeights 
vector of weightings for multiobjective optimization or weighted nonlinear least squares (from the multi_objective_weights specification in RespFnOpt and the least_squares_weights specification in RespFnLS)  
RealVector  nonlinearIneqLowerBnds 
vector of nonlinear inequality constraint lower bounds (from the nonlinear_inequality_lower_bounds specification in RespFnOpt)  
RealVector  nonlinearIneqUpperBnds 
vector of nonlinear inequality constraint upper bounds (from the nonlinear_inequality_upper_bounds specification in RespFnOpt)  
RealVector  nonlinearEqTargets 
vector of nonlinear equality constraint targets (from the nonlinear_equality_targets specification in RespFnOpt)  
StringArray  primaryRespFnScaleTypes 
vector of primary response function scaling types (from the objective_function_scale_types specification in RespFnOpt and the least_squares_term_scale_types specification in RespFnLS)  
RealVector  primaryRespFnScales 
vector of primary response function scaling factors (from the objective_function_scales specification in RespFnOpt and the least_squares_term_scales specification in RespFnLS)  
StringArray  nonlinearIneqScaleTypes 
vector of nonlinear inequality constraint scaling types (from the nonlinear_inequality_scale_types specification in RespFnOpt)  
RealVector  nonlinearIneqScales 
vector of nonlinear inequality constraint scaling factors (from the nonlinear_inequality_scales specification in RespFnOpt)  
StringArray  nonlinearEqScaleTypes 
vector of nonlinear equality constraint scaling types (from the nonlinear_equality_scale_types specification in RespFnOpt)  
RealVector  nonlinearEqScales 
vector of nonlinear equality constraint scaling factors (from the nonlinear_equality_scales specification in RespFnOpt)  
bool  calibrationDataFlag 
whether calibration data was specified  
size_t  numExperiments 
number of distinct experiments in experimental data  
size_t  numExpConfigVars 
number of experimental configuration vars (state variables) in each row of data  
RealVector  expConfigVars 
list of num_experiments x num_config_vars configuration variable values  
RealVector  simVariance 
list of variances of errors to be added to simulation responses  
bool  interpolateFlag 
whether one should interpolate between the experiment and simulation field data  
RealVector  expObservations 
list of num_calibration_terms observation data  
RealVector  expStdDeviations 
list of 1 or num_calibration_terms observation standard deviations  
String  scalarDataFileName 
name of experimental data file containing response data (with optional state variable and sigma data) to read  
unsigned short  scalarDataFormat 
tabular format of the scalar data file  
String  gradientType 
gradient type: none, numerical, analytic, or mixed (from the no_gradients , numerical_gradients , analytic_gradients , and mixed_gradients specifications in RespGrad)  
String  hessianType 
Hessian type: none, numerical, quasi, analytic, or mixed (from the no_hessians , numerical_hessians , quasi_hessians , analytic_hessians , and mixed_hessians specifications in RespHess)  
bool  ignoreBounds 
option to ignore bounds when doing finite differences (default is to honor bounds)  
bool  centralHess 
Temporary(?) option to use old 2ndorder diffs when computing finitedifference Hessians; default is forward differences.  
String  quasiHessianType 
quasiHessian type: bfgs, damped_bfgs, or sr1 (from the bfgs and sr1 specifications in RespHess)  
String  methodSource 
numerical gradient method source: dakota or vendor (from the method_source specification in RespGradNum and RespGradMixed)  
String  intervalType 
numerical gradient interval type: forward or central (from the interval_type specification in RespGradNum and RespGradMixed)  
RealVector  fdGradStepSize 
vector of finite difference step sizes for numerical gradients, one step size per active continuous variable, used in computing 1storder forward or central differences (from the fd_gradient_step_size specification in RespGradNum and RespGradMixed)  
String  fdGradStepType 
type of finite difference step to use for numerical gradient: relative  step length is relative to x absolute  step length is what is specified bounds  step length is relative to range of x  
RealVector  fdHessStepSize 
vector of finite difference step sizes for numerical Hessians, one step size per active continuous variable, used in computing 1storder gradientbased differences and 2ndorder functionbased differences (from the fd_hessian_step_size specification in RespHessNum and RespHessMixed)  
String  fdHessStepType 
type of finite difference step to use for numerical Hessian: relative  step length is relative to x absolute  step length is what is specified bounds  step length is relative to range of x  
IntSet  idNumericalGrads 
mixed gradient numerical identifiers (from the id_numerical_gradients specification in RespGradMixed)  
IntSet  idAnalyticGrads 
mixed gradient analytic identifiers (from the id_analytic_gradients specification in RespGradMixed)  
IntSet  idNumericalHessians 
mixed Hessian numerical identifiers (from the id_numerical_hessians specification in RespHessMixed)  
IntSet  idQuasiHessians 
mixed Hessian quasi identifiers (from the id_quasi_hessians specification in RespHessMixed)  
IntSet  idAnalyticHessians 
mixed Hessian analytic identifiers (from the id_analytic_hessians specification in RespHessMixed)  
IntVector  fieldLengths 
number of entries in each field  
IntVector  numCoordsPerField 
number of coordinates per field  
bool  readFieldCoords 
Field data related storage: whether to read simulation field coordinates.  
StringArray  varianceType 
Array which specifies the sigma type per response (none, one constant value, one per response (vector) or a full covariance matrix  
Private Member Functions  
DataResponsesRep ()  
constructor  
void  write (std::ostream &s) const 
write a DataResponsesRep object to an std::ostream  
void  read (MPIUnpackBuffer &s) 
read a DataResponsesRep object from a packed MPI buffer  
void  write (MPIPackBuffer &s) const 
write a DataResponsesRep object to a packed MPI buffer  
Friends  
class  DataResponses 
the handle class can access attributes of the body class directly  
Body class for responses specification data.
The DataResponsesRep class is used to contain the data from a responses keyword specification. Default values are managed in the DataResponsesRep constructor. Data is public to avoid maintaining set/get functions, but is still encapsulated within ProblemDescDB since ProblemDescDB::dataResponsesList is private.