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Dakota
Version 6.2
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Wrapper class for the PSUADE library. More...
Public Member Functions | |
PSUADEDesignCompExp (ProblemDescDB &problem_db, Model &model) | |
primary constructor for building a standard DACE iterator | |
~PSUADEDesignCompExp () | |
destructor | |
void | pre_run () |
pre-run portion of run (optional); re-implemented by Iterators which can generate all Variables (parameter sets) a priori | |
void | post_input () |
read tabular data for post-run mode | |
void | extract_trends () |
Mapping of the core_run() virtual function for the PStudy/DACE branch. | |
void | post_run (std::ostream &s) |
post-run portion of run (optional); verbose to print results; re-implemented by Iterators that can read all Variables/Responses and perform final analysis phase in a standalone way | |
int | num_samples () const |
void | sampling_reset (int min_samples, bool all_data_flag, bool stats_flag) |
reset sampling iterator to use at least min_samples | |
unsigned short | sampling_scheme () const |
return sampling name | |
void | vary_pattern (bool pattern_flag) |
sets varyPattern in derived classes that support it | |
void | get_parameter_sets (Model &model) |
Returns one block of samples (ndim * num_samples) | |
Private Member Functions | |
void | enforce_input_rules () |
enforce sanity checks/modifications for the user input specification | |
Private Attributes | |
int | samplesSpec |
initial specification of number of samples | |
int | numSamples |
current number of samples to be evaluated | |
const UShortArray & | varPartitionsSpec |
number of partitions in each variable direction | |
int | numPartitions |
number of partitions to pass to PSUADE (levels = partitions + 1) | |
bool | allDataFlag |
flag which triggers the update of allVars/allResponses for use by Iterator::all_variables() and Iterator::all_responses() | |
size_t | numDACERuns |
counter for number of executions for this object | |
bool | varyPattern |
flag for generating a sequence of seed values within multiple get_parameter_sets() calls so that the sample sets are not repeated, but are still repeatable | |
const int | seedSpec |
the user seed specification for the random number generator (allows repeatable results) | |
int | randomSeed |
current seed for the random number generator |
Wrapper class for the PSUADE library.
The PSUADEDesignCompExp class provides a wrapper for PSUADE, a C++ design of experiments library from Lawrence Livermore National Laboratory. Currently this class only includes the PSUADE Morris One-at-a-time (MOAT) method to uniformly sample the parameter space spanned by the active bounds of the current Model. It returns all generated samples and their corresponding responses as well as the best sample found.
PSUADEDesignCompExp | ( | ProblemDescDB & | problem_db, |
Model & | model | ||
) |
primary constructor for building a standard DACE iterator
This constructor is called for a standard iterator built with data from probDescDB.
References Dakota::abort_handler(), Iterator::maxEvalConcurrency, Iterator::methodName, and PSUADEDesignCompExp::numSamples.
void pre_run | ( | ) | [virtual] |
pre-run portion of run (optional); re-implemented by Iterators which can generate all Variables (parameter sets) a priori
pre-run phase, which a derived iterator may optionally reimplement; when not present, pre-run is likely integrated into the derived run function. This is a virtual function; when re-implementing, a derived class must call its nearest parent's pre_run(), if implemented, typically _before_ performing its own implementation steps.
Reimplemented from Iterator.
References PSUADEDesignCompExp::get_parameter_sets(), and Iterator::iteratedModel.
void post_run | ( | std::ostream & | s | ) | [virtual] |
post-run portion of run (optional); verbose to print results; re-implemented by Iterators that can read all Variables/Responses and perform final analysis phase in a standalone way
Post-run phase, which a derived iterator may optionally reimplement; when not present, post-run is likely integrated into run. This is a virtual function; when re-implementing, a derived class must call its nearest parent's post_run(), typically _after_ performing its own implementation steps.
Reimplemented from Analyzer.
References Dakota::abort_handler(), Analyzer::allResponses, Analyzer::allSamples, Model::continuous_lower_bounds(), Model::continuous_upper_bounds(), Iterator::iteratedModel, Analyzer::numContinuousVars, Analyzer::numFunctions, and PSUADEDesignCompExp::numSamples.
int num_samples | ( | ) | const [inline, virtual] |
Return current number of evaluation points. Since the calculation of samples, collocation points, etc. might be costly, provide a default implementation here that backs out from the maxEvalConcurrency.
Reimplemented from Analyzer.
References PSUADEDesignCompExp::numSamples.
void enforce_input_rules | ( | ) | [private] |
enforce sanity checks/modifications for the user input specification
Users may input a variety of quantities, but this function must enforce any restrictions imposed by the sampling algorithms.
References Dakota::abort_handler(), Iterator::methodName, Analyzer::numContinuousVars, PSUADEDesignCompExp::numPartitions, PSUADEDesignCompExp::numSamples, and PSUADEDesignCompExp::varPartitionsSpec.
Referenced by PSUADEDesignCompExp::get_parameter_sets().