Object Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 12345]

▼Copenstudio::analysis::AlgorithmOptions	AlgorithmOptions defines the basic options that all Algorithms are assumed to have, that is, a maximum number of iterations and a maximum number of simulations
▼Copenstudio::analysis::DakotaAlgorithmOptions	DakotaAlgorithmOptions is an AlgorithmOptions class for DakotaAlgorithms
Copenstudio::analysis::DDACEAlgorithmOptions	DDACEAlgorithmOptions is a DakotaAlgorithmOptions class that defines options specific to DDACEAlgorithm
Copenstudio::analysis::FSUDaceAlgorithmOptions	FSUDaceAlgorithmOptions is a DakotaAlgorithmOptions class that defines options specific to FSUDaceAlgorithm
Copenstudio::analysis::ParameterStudyAlgorithmOptions	ParameterStudyAlgorithmOptions is a DakotaAlgorithmOptions that defines options specific to ParameterStudyAlgorithm
Copenstudio::analysis::PSUADEDaceAlgorithmOptions	PSUADEDaceAlgorithmOptions is a DakotaAlgorithmOptions that defines options specific to PSUADEDaceAlgorithm
Copenstudio::analysis::SamplingAlgorithmOptions	SamplingAlgorithmOptions is a DakotaAlgorithmOptions class that defines options specific to SamplingAlgorithm
Copenstudio::analysis::DesignOfExperimentsOptions	DesignOfExperimentsOptions is an AlgorithmOptions class for use with DesignOfExperiments
Copenstudio::analysis::SequentialSearchOptions	SequentialSearchOptions is an options class for SequentialSearch, derived from AlgorithmOptions
Copenstudio::analysis::AnalysisJSONLoadResult
▼Copenstudio::analysis::AnalysisObject	AnalysisObject is the base class for all major classes in the openstudio::analysis namespace
▼Copenstudio::analysis::Algorithm	Algorithm is an abstract AnalysisObject that is the base class for all OpenStudioAlgorithms and DakotaAlgorithms
▼Copenstudio::analysis::DakotaAlgorithm	DakotaAlgorithm is an Algorithm that works with the third-party software package DAKOTA (http://dakota.sandia.gov/software.html) to generate new data points
Copenstudio::analysis::DDACEAlgorithm	DDACEAlgorithm is a DakotaAlgorithm that implements dakotaInFileDescription so as to specify a particular Distributed Design and Analysis for Computer Experiments (DDACE) method and related options
Copenstudio::analysis::FSUDaceAlgorithm	FSUDaceAlgorithm is a DakotaAlgorithm that implements dakotaInFileDescription so as to specify a particular Florida State University Design and Analysis of Computer Experiments method and related options
Copenstudio::analysis::ParameterStudyAlgorithm	ParameterStudyAlgorithm is a DakotaAlgorithm that implements dakotaInFileDescription so as to specify a particular Parameter Study method and related options
Copenstudio::analysis::PSUADEDaceAlgorithm	PSUADEDaceAlgorithm is a DakotaAlgorithm that implements dakotaInFileDescription so as to specify a particular Problem Solving Environment for Uncertainty Analysis and Design Exploration Morris One-At-A-Time method and related options
Copenstudio::analysis::SamplingAlgorithm	SamplingAlgorithm is a DakotaAlgorithm that implements dakotaInFileDescription so as to specify a particular Sampling method and related options
▼Copenstudio::analysis::OpenStudioAlgorithm	OpenStudioAlgorithm is an Algorithm whose logic is directly encoded in the implementation of createNextIteration
Copenstudio::analysis::DesignOfExperiments	DesignOfExperiments is an OpenStudioAlgorithm
Copenstudio::analysis::SequentialSearch	SequentialSearch is an OpenStudioAlgorithm that can be used to solve OptimizationProblems with two objective functions and discrete variables
Copenstudio::analysis::Analysis	Analysis is a AnalysisObject that contains an entire analysis
▼Copenstudio::analysis::DataPoint	DataPoint is an AnalysisObject that describes a single simulation run/to be run for a given Analysis
Copenstudio::analysis::OptimizationDataPoint	OptimizationDataPoint is a DataPoint for use with OptimizationProblems
▼Copenstudio::analysis::Function	Function is an abstract AnalysisObject that registers a set of Variables whose values can be retrieved from a DataPoint, and requires classes derived from it to implement Function::getValue
Copenstudio::analysis::LinearFunction	LinearFunction is a Function of the form a1*x1 + a2*x2 + ..
▼Copenstudio::analysis::Measure	Measure is an AnalysisObject that defines one particular value of a DiscreteVariable
Copenstudio::analysis::NullMeasure	NullMeasure is a Measure that does not change the input model in any way
Copenstudio::analysis::RubyMeasure	RubyMeasure is a Measure that modifies a model (OSM or IDF file) using a Ruby script
▼Copenstudio::analysis::Problem	Problem is an AnalysisObject that contains a (building energy) problem formulation stated as a vector of workflow steps (input variables or runmanager::WorkItems), and a vector of response functions
Copenstudio::analysis::OptimizationProblem	OptimizationProblem is a Problem that has objective functions in addition to variables, response functions, and a simulation workflow
▼Copenstudio::analysis::Variable	Variable is an AnalysisObject that serves as a base class for InputVariable and OutputVariable
▼Copenstudio::analysis::InputVariable
▼Copenstudio::analysis::ContinuousVariable	A ContinuousVariable is an InputVariable whose value is a real number, perhaps restricted to lie within some bounds
Copenstudio::analysis::RubyContinuousVariable	RubyContinuousVariable is a ContinuousVariable
▼Copenstudio::analysis::DiscreteVariable	A DiscreteVariable is an InputVariable whose value is a finite list of values mappable to a range of integers
Copenstudio::analysis::MeasureGroup	MeasureGroup is an DiscreteVariable that takes on discrete values, each of which is described by a Measure
▼Copenstudio::analysis::OutputVariable
Copenstudio::analysis::OutputAttributeVariable	OutputAttributeVariable is an OutputVariable that accesses attributes written to XML as part of a simulation post-processing step
Copenstudio::analysis::WorkflowStep	WorkflowStep is an AnalysisObject that describes an individual step in a Problem's overall Workflow
Copenstudio::analysis::AnalysisSerializationOptions
Copenstudio::analysis::DakotaParametersFile	DakotaParametersFile is an interface to the files that DAKOTA drops on the filesystem to indicate that we should create and run a new DataPoint
▼CEnumBase
Copenstudio::analysis::AnalysisSerializationScope	Enum to indicate how much of the analysis should be written out to JSON
Copenstudio::analysis::DakotaFunctionType	List of function types DAKOTA expects us to evaluate
Copenstudio::analysis::DataPointRunType	List of DataPoint run types
Copenstudio::analysis::DDACEAlgorithmType	Lists the types of sampling methods offered by the DDACE libary
Copenstudio::analysis::DesignOfExperimentsType
Copenstudio::analysis::FSUDaceAlgorithmType	Lists the types of sampling methods offered by the FSU Dace libary
Copenstudio::analysis::FSUDaceCvtTrialType	Lists the types of trials that may be used with the FSUDaceAlgorithmType::cvt
Copenstudio::analysis::ParameterStudyAlgorithmType	Lists the types of sampling methods offered by the Parameter Study library
Copenstudio::analysis::SamplingAlgorithmRNGType	Lists the types of pseudo-random number generators that may be used with the Sampling library
Copenstudio::analysis::SamplingAlgorithmSampleType	Lists the types of sampling methods offered by the Sampling libary
Copenstudio::analysis::UncertaintyDescriptionType	List of all the uncertainty types supported by DAKOTA
Copenstudio::analysis::UncertaintyType	List of uncertainty types
Copenstudio::analysis::VariableValueType	List of variable numeric types
Copenstudio::analysis::OptimizationDataPointObjectiveFunctionLess	Predicate struct for comparing OptimizationDataPoints by objective function value
CQObject
▼Copenstudio::analysis::UncertaintyDescription	UncertaintyDescription is an abstract base class that can be used to append uncertainty information to a Variable
Copenstudio::analysis::BetaDistribution	BetaDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::BinomialDistribution	BinomialDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable
Copenstudio::analysis::ExponentialDistribution	ExponentialDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::FrechetDistribution	FrechetDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::GammaDistribution	GammaDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::GenericUncertaintyDescription	GenericUncertaintyDescription is an UncertaintyDescription interface for use by APIs and for serialization/deserialization
Copenstudio::analysis::GeometricDistribution	GeometricDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable
Copenstudio::analysis::GumbelDistribution	GumbelDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::HistogramBinDistribution	HistogramBinDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::HistogramPointDistribution	HistogramPointDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable
Copenstudio::analysis::HypergeometricDistribution	HypergeometricDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable
Copenstudio::analysis::LognormalDistribution	LognormalDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::LoguniformDistribution	LoguniformDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::NegativeBinomialDistribution	NegativeBinomialDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable
Copenstudio::analysis::NormalDistribution	NormalDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::PoissonDistribution	PoissonDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable
Copenstudio::analysis::TriangularDistribution	TriangularDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::UniformDistribution	UniformDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::WeibullDistribution	WeibullDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable
Copenstudio::analysis::WorkflowStepJob	WorkflowStepJob is a structure for articulating the detailed runtime results associated with each WorkflowStep as executed for a particular DataPoint