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openstudio::analysis::ParameterStudyAlgorithm Class Reference

#include <ParameterStudyAlgorithm.hpp>

+ Inheritance diagram for openstudio::analysis::ParameterStudyAlgorithm:

Public Member Functions

Constructors and Destructors
 ParameterStudyAlgorithm (const ParameterStudyAlgorithmOptions &options)
 Construct from options. More...
 
 ParameterStudyAlgorithm (const UUID &uuid, const UUID &versionUUID, const std::string &displayName, const std::string &description, bool complete, bool failed, int iter, const ParameterStudyAlgorithmOptions &options, const boost::optional< FileReference > &restartFileReference, const boost::optional< FileReference > &outFileReference, const boost::optional< openstudio::runmanager::Job > &job)
 Constructor provided for deserialization; not for general use. More...
 
virtual ~ParameterStudyAlgorithm ()
 
Getters and Queries
ParameterStudyAlgorithmOptions parameterStudyAlgorithmOptions () const
 
- Public Member Functions inherited from openstudio::analysis::DakotaAlgorithm
virtual ~DakotaAlgorithm ()
 
bool requiresContinuousVariables () const
 Returns true if the algorithm requires continuous variables. More...
 
bool isCompatible (const UncertaintyDescriptionType &udescType) const
 
boost::optional< FileReference > restartFileReference () const
 Returns a reference to the DAKOTA restart file, if possible. More...
 
boost::optional< FileReference > outFileReference () const
 Returns a reference to the DAKOTA out file, if possible. More...
 
boost::optional
< openstudio::runmanager::Job > 
job () const
 Returns the RunManager job if possible. More...
 
std::string dakotaInFileDescription () const
 Returns a string that describes this algorithm, including its options, in DAKOTA .in file syntax. More...
 
boost::optional< DataPointcreateNextDataPoint (Analysis &analysis, const DakotaParametersFile &params)
 Tries to create a new data point from dakotaParametersFile, returning the new point, or an equivalent point already present in analysis. More...
 
- Public Member Functions inherited from openstudio::analysis::Algorithm
virtual ~Algorithm ()
 
bool isComplete () const
 Returns true if the Algorithm ran to completion. More...
 
bool failed () const
 Returns true if the Algorithm ran to completion, but failed in some way. More...
 
int iter () const
 Returns the iteration number, which is incremented during the process of running an Analysis. More...
 
AlgorithmOptions options () const
 AlgorithmOptions shares its data on assignment and copy construction. More...
 
bool isCompatibleProblemType (const Problem &problem) const
 Returns true if Algorithm can operate on problem. More...
 
- Public Member Functions inherited from openstudio::analysis::AnalysisObject
virtual ~AnalysisObject ()
 
AnalysisObject clone () const
 Deep copy. More...
 
std::string name () const
 
std::string displayName () const
 
std::string description () const
 
openstudio::UUID uuid () const
 
openstudio::UUID versionUUID () const
 
bool isDirty () const
 Returns true if this object has been changed since its dirty flag was last cleared. More...
 
bool operator== (const AnalysisObject &other) const
 Compare impls. More...
 
bool operator!= (const AnalysisObject &other) const
 
bool uuidEqual (const AnalysisObject &other) const
 
bool uuidAndVersionEqual (const AnalysisObject &other) const
 
boost::optional< AnalysisObjectparent () const
 
void setName (const std::string &newName)
 
void setDisplayName (const std::string &newDisplayName)
 
void setDescription (const std::string &newDescription)
 
bool clearDirtyFlag ()
 Call this method to reset the dirty flag of this object and all its children. More...
 
bool connect (const char *signal, const QObject *receiver, const char *slot, Qt::ConnectionType type=Qt::AutoConnection) const
 Connect signal from this AnalysisObject to slot on receiver. More...
 
bool disconnect (const char *signal=nullptr, const QObject *receiver=nullptr, const char *slot=nullptr) const
 
template<typename T >
cast () const
 Cast to type T. More...
 
template<typename T >
boost::optional< T > optionalCast () const
 Cast to boost::optional<T>. More...
 

Related Functions

(Note that these are not member functions.)

typedef boost::optional
< ParameterStudyAlgorithm
OptionalParameterStudyAlgorithm
 
typedef std::vector
< ParameterStudyAlgorithm
ParameterStudyAlgorithmVector
 

Additional Inherited Members

- Protected Member Functions inherited from openstudio::analysis::DakotaAlgorithm
void markComplete ()
 
void markFailed ()
 
void resetFailed ()
 
void setOutFileReference (const FileReference &file)
 Called after Dakota job is constructed. More...
 
void setRestartFileReference (const FileReference &file)
 Called after Dakota job is constructed. More...
 
- Protected Member Functions inherited from openstudio::analysis::Algorithm
void reset ()
 Resets algorithm back to its initial state. More...
 
void resetComplete ()
 

Detailed Description

ParameterStudyAlgorithm is a DakotaAlgorithm that implements dakotaInFileDescription so as to specify a particular Parameter Study method and related options.

Constructor & Destructor Documentation

openstudio::analysis::ParameterStudyAlgorithm::ParameterStudyAlgorithm ( const ParameterStudyAlgorithmOptions options)

Construct from options.

openstudio::analysis::ParameterStudyAlgorithm::ParameterStudyAlgorithm ( const UUID &  uuid,
const UUID &  versionUUID,
const std::string &  displayName,
const std::string &  description,
bool  complete,
bool  failed,
int  iter,
const ParameterStudyAlgorithmOptions options,
const boost::optional< FileReference > &  restartFileReference,
const boost::optional< FileReference > &  outFileReference,
const boost::optional< openstudio::runmanager::Job > &  job 
)

Constructor provided for deserialization; not for general use.

virtual openstudio::analysis::ParameterStudyAlgorithm::~ParameterStudyAlgorithm ( )
inlinevirtual

Member Function Documentation

ParameterStudyAlgorithmOptions openstudio::analysis::ParameterStudyAlgorithm::parameterStudyAlgorithmOptions ( ) const

Friends And Related Function Documentation

typedef boost::optional<ParameterStudyAlgorithm> OptionalParameterStudyAlgorithm
related