Dakota
Version 6.20
Explore and Predict with Confidence
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Container class for the numerical solution for a given configuration (e.g. ensemble + DAG) More...
Public Member Functions | |
MFSolutionData () | |
default constructor | |
MFSolutionData (const RealVector &soln_vars, Real avg_est_var, Real avg_est_var_ratio, Real equiv_hf) | |
MFSolutionData (const MFSolutionData &sd) | |
copy constructor | |
~MFSolutionData () | |
destructor | |
MFSolutionData & | operator= (const MFSolutionData &) |
assignment operator | |
const RealVector & | solution_variables () const |
Real | solution_variable (size_t i) const |
void | solution_variables (const RealVector &soln_vars) |
void | solution_variables (const SizetArray &samples) |
std::pair< RealVector, Real > | anchored_solution_ratios () const |
void | anchored_solution_ratios (const RealVector &soln_ratios, Real soln_ref) |
RealVector | solution_ratios () const |
Real | solution_reference () const |
Real | average_estimator_variance () const |
void | average_estimator_variance (Real avg_estvar) |
Real | average_estimator_variance_ratio () const |
void | average_estimator_variance_ratio (Real avg_estvar_ratio) |
Real | equivalent_hf_allocation () const |
void | equivalent_hf_allocation (Real equiv_hf_alloc) |
Protected Attributes | |
RealVector | solutionVars |
Real | avgEstVar |
average estimator variance for model graph | |
Real | avgEstVarRatio |
average estimator variance ratio (1 - R^2) for model graph: the ratio of final estimator variance (optimizer result) and final MC estimator variance using final N_H samples (not equivHF) | |
Real | equivHFAlloc |
Container class for the numerical solution for a given configuration (e.g. ensemble + DAG)
Used for caching the optimization solution data that is associated with one configuration among multiple possibilities, e.g. ensemble membership and directed acyclic graph (DAG) of paired control variates.