| ▼openstudio::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 |
| ▼openstudio::analysis::DakotaAlgorithmOptions | DakotaAlgorithmOptions is an AlgorithmOptions class for DakotaAlgorithms |
| openstudio::analysis::DDACEAlgorithmOptions | DDACEAlgorithmOptions is a DakotaAlgorithmOptions class that defines options specific to DDACEAlgorithm |
| openstudio::analysis::FSUDaceAlgorithmOptions | FSUDaceAlgorithmOptions is a DakotaAlgorithmOptions class that defines options specific to FSUDaceAlgorithm |
| openstudio::analysis::ParameterStudyAlgorithmOptions | ParameterStudyAlgorithmOptions is a DakotaAlgorithmOptions that defines options specific to ParameterStudyAlgorithm |
| openstudio::analysis::PSUADEDaceAlgorithmOptions | PSUADEDaceAlgorithmOptions is a DakotaAlgorithmOptions that defines options specific to PSUADEDaceAlgorithm |
| openstudio::analysis::SamplingAlgorithmOptions | SamplingAlgorithmOptions is a DakotaAlgorithmOptions class that defines options specific to SamplingAlgorithm |
| openstudio::analysis::DesignOfExperimentsOptions | DesignOfExperimentsOptions is an AlgorithmOptions class for use with DesignOfExperiments |
| openstudio::analysis::SequentialSearchOptions | SequentialSearchOptions is an options class for SequentialSearch, derived from AlgorithmOptions |
| openstudio::analysis::AnalysisJSONLoadResult | |
| ▼openstudio::analysis::AnalysisObject | AnalysisObject is the base class for all major classes in the openstudio::analysis namespace |
| ▼openstudio::analysis::Algorithm | Algorithm is an abstract AnalysisObject that is the base class for all OpenStudioAlgorithms and DakotaAlgorithms |
| ►openstudio::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 |
| openstudio::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 |
| openstudio::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 |
| openstudio::analysis::ParameterStudyAlgorithm | ParameterStudyAlgorithm is a DakotaAlgorithm that implements dakotaInFileDescription so as to specify a particular Parameter Study method and related options |
| openstudio::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 |
| openstudio::analysis::SamplingAlgorithm | SamplingAlgorithm is a DakotaAlgorithm that implements dakotaInFileDescription so as to specify a particular Sampling method and related options |
| ►openstudio::analysis::OpenStudioAlgorithm | OpenStudioAlgorithm is an Algorithm whose logic is directly encoded in the implementation of createNextIteration |
| openstudio::analysis::DesignOfExperiments | DesignOfExperiments is an OpenStudioAlgorithm |
| openstudio::analysis::SequentialSearch | SequentialSearch is an OpenStudioAlgorithm that can be used to solve OptimizationProblems with two objective functions and discrete variables |
| openstudio::analysis::Analysis | Analysis is a AnalysisObject that contains an entire analysis |
| ▼openstudio::analysis::DataPoint | DataPoint is an AnalysisObject that describes a single simulation run/to be run for a given Analysis |
| openstudio::analysis::OptimizationDataPoint | OptimizationDataPoint is a DataPoint for use with OptimizationProblems |
| ▼openstudio::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 |
| openstudio::analysis::LinearFunction | LinearFunction is a Function of the form a1*x1 + a2*x2 + .. |
| ▼openstudio::analysis::Measure | Measure is an AnalysisObject that defines one particular value of a DiscreteVariable |
| openstudio::analysis::NullMeasure | NullMeasure is a Measure that does not change the input model in any way |
| openstudio::analysis::RubyMeasure | RubyMeasure is a Measure that modifies a model (OSM or IDF file) using a Ruby script |
| ▼openstudio::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 |
| openstudio::analysis::OptimizationProblem | OptimizationProblem is a Problem that has objective functions in addition to variables, response functions, and a simulation workflow |
| ▼openstudio::analysis::Variable | Variable is an AnalysisObject that serves as a base class for InputVariable and OutputVariable |
| ►openstudio::analysis::InputVariable | |
| ▼openstudio::analysis::ContinuousVariable | A ContinuousVariable is an InputVariable whose value is a real number, perhaps restricted to lie within some bounds |
| openstudio::analysis::RubyContinuousVariable | RubyContinuousVariable is a ContinuousVariable |
| ▼openstudio::analysis::DiscreteVariable | A DiscreteVariable is an InputVariable whose value is a finite list of values mappable to a range of integers |
| openstudio::analysis::MeasureGroup | MeasureGroup is an DiscreteVariable that takes on discrete values, each of which is described by a Measure |
| ►openstudio::analysis::OutputVariable | |
| openstudio::analysis::OutputAttributeVariable | OutputAttributeVariable is an OutputVariable that accesses attributes written to XML as part of a simulation post-processing step |
| openstudio::analysis::WorkflowStep | WorkflowStep is an AnalysisObject that describes an individual step in a Problem's overall Workflow |
| openstudio::analysis::AnalysisSerializationOptions | |
| openstudio::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 |
| ▼EnumBase | |
| openstudio::analysis::AnalysisSerializationScope | Enum to indicate how much of the analysis should be written out to JSON |
| openstudio::analysis::DakotaFunctionType | List of function types DAKOTA expects us to evaluate |
| openstudio::analysis::DataPointRunType | List of DataPoint run types |
| openstudio::analysis::DDACEAlgorithmType | Lists the types of sampling methods offered by the DDACE libary |
| openstudio::analysis::DesignOfExperimentsType | |
| openstudio::analysis::FSUDaceAlgorithmType | Lists the types of sampling methods offered by the FSU Dace libary |
| openstudio::analysis::FSUDaceCvtTrialType | Lists the types of trials that may be used with the FSUDaceAlgorithmType::cvt |
| openstudio::analysis::ParameterStudyAlgorithmType | Lists the types of sampling methods offered by the Parameter Study library |
| openstudio::analysis::SamplingAlgorithmRNGType | Lists the types of pseudo-random number generators that may be used with the Sampling library |
| openstudio::analysis::SamplingAlgorithmSampleType | Lists the types of sampling methods offered by the Sampling libary |
| openstudio::analysis::UncertaintyDescriptionType | List of all the uncertainty types supported by DAKOTA |
| openstudio::analysis::UncertaintyType | List of uncertainty types |
| openstudio::analysis::VariableValueType | List of variable numeric types |
| openstudio::analysis::OptimizationDataPointObjectiveFunctionLess | Predicate struct for comparing OptimizationDataPoints by objective function value |
| QObject | |
| ▼openstudio::analysis::UncertaintyDescription | UncertaintyDescription is an abstract base class that can be used to append uncertainty information to a Variable |
| openstudio::analysis::BetaDistribution | BetaDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::BinomialDistribution | BinomialDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable |
| openstudio::analysis::ExponentialDistribution | ExponentialDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::FrechetDistribution | FrechetDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::GammaDistribution | GammaDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::GenericUncertaintyDescription | GenericUncertaintyDescription is an UncertaintyDescription interface for use by APIs and for serialization/deserialization |
| openstudio::analysis::GeometricDistribution | GeometricDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable |
| openstudio::analysis::GumbelDistribution | GumbelDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::HistogramBinDistribution | HistogramBinDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::HistogramPointDistribution | HistogramPointDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable |
| openstudio::analysis::HypergeometricDistribution | HypergeometricDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable |
| openstudio::analysis::LognormalDistribution | LognormalDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::LoguniformDistribution | LoguniformDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::NegativeBinomialDistribution | NegativeBinomialDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable |
| openstudio::analysis::NormalDistribution | NormalDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::PoissonDistribution | PoissonDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a discrete variable |
| openstudio::analysis::TriangularDistribution | TriangularDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::UniformDistribution | UniformDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::WeibullDistribution | WeibullDistribution is an UncertaintyDescription that can apply aleatory uncertainty to a continuous variable |
| openstudio::analysis::WorkflowStepJob | WorkflowStepJob is a structure for articulating the detailed runtime results associated with each WorkflowStep as executed for a particular DataPoint |
