DAKOTA Class List

Here are the classes, structs, unions and interfaces with brief descriptions:
ActiveSetActive set request vector and the derivative variables vector
AllConstraintsEmploys the all data view
AllVariablesAll data view
AnalysisCodeProcesses for managing simulations
AnalyzerHierarchy
ApplicationInterfaceInterfaces to simulation codes
ApproximationBase class for the approximation class hierarchy
ApproximationInterfaceApproximations to simulation-based results
APPSEvalMgrEvaluation manager class for APPSPACK
APPSOptimizerWrapper class for APPSPACK
ArrayTemplate class for the Dakota bookkeeping array
BaseConstructorDummy struct for overloading letter-envelope constructors
BaseVectorBase class for the Dakota::Matrix and Dakota::Vector classes
BasisPolyApproximationDerived approximation class for global basis polynomials
BasisPolynomialBase class for the basis polynomial class hierarchy
BiStreamData types
BoStreamData types
COLINApplication
COLINOptimizerWrapper class for optimizers defined using COLIN
ColinPoint
CollaborativeHybridStrategyOptimization and nonlinear least squares methods
CommandLineHandlerUtility class for managing command line inputs to DAKOTA
CommandShellProcesses with system calls
ConcurrentStrategyStrategy for multi-start iteration or pareto set optimization
CONMINOptimizerWrapper class for the CONMIN optimization library
ConstraintsBase class for the variable constraints class hierarchy
CtelRegexp
DataFitSurrModelData fit surrogates (global and local)
DataInterfaceHandle class for interface specification data
DataMethodHandle class for method specification data
DataMethodRepBody class for method specification data
DataModelHandle class for model specification data
DataModelRepBody class for model specification data
DataResponsesHandle class for responses specification data
DataResponsesRepBody class for responses specification data
DataStrategyHandle class for strategy specification data
DataStrategyRepBody class for strategy specification data
DataVariablesHandle class for variables specification data
DataVariablesRepBody class for variables specification data
DDACEDesignCompExpWrapper class for the DDACE design of experiments library
DirectApplicInterfaceAnd testers using direct procedure calls
DistinctConstraintsDefault data view (no variable or domain type array merging)
DistinctVariablesDefault data view (no variable or domain type array merging)
DOTOptimizerWrapper class for the DOT optimization library
EffGlobalMinimizerImplementation of Efficient Global Optimization/Least Squares algorithms
EmbeddedHybridStrategySearch methods
ErrorTableData structure to hold errors
ForkAnalysisCodeSimulations using forks
ForkApplicInterfaceUsing forks
FSUDesignCompExpWrapper class for the FSUDace QMC/CVT library
FunctionCompare
GaussProcApproximationDerived approximation class for Gaussian Process implementation
GenLaguerreOrthogPolynomialDerived orthogonal polynomial class for generalized Laguerre polynomials
GetLongOpt(Advanced Computer Research Institute, Lyon, France)
GraphicsFor post-processing with Matlab, Tecplot, etc
GridApplicInterfaceUsing grid services such as Condor or Globus
HermiteOrthogPolynomialDerived orthogonal polynomial class for Hermite polynomials
HierarchSurrModelHierarchical surrogates (models of varying fidelity)
HybridStrategyBase class for hybrid minimization strategies
InterfaceBase class for the interface class hierarchy
InterpPolyApproximationApproximation)
IteratorBase class for the iterator class hierarchy
JacobiOrthogPolynomialDerived orthogonal polynomial class for Jacobi polynomials
JEGAOptimizerA version of Dakota::Optimizer for instantiation of John Eddy's Genetic Algorithms (JEGA)
JEGAOptimizer::DriverA subclass of the JEGA front end driver that exposes the individual protected methods to execute the algorithm
JEGAOptimizer::EvaluatorAn evaluator specialization that knows how to interact with Dakota
JEGAOptimizer::EvaluatorCreatorA specialization of the JEGA::FrontEnd::EvaluatorCreator that creates a new instance of a Evaluator
LagrangeInterpPolynomialDerived basis polynomial class for 1-D Lagrange interpolation polynomials
LaguerreOrthogPolynomialDerived orthogonal polynomial class for Laguerre polynomials
LeastSqBase class for the nonlinear least squares branch of the iterator hierarchy
LegendreOrthogPolynomialDerived orthogonal polynomial class for Legendre polynomials
ListTemplate class for the Dakota bookkeeping list
MatrixTemplate class for the Dakota numerical matrix
MergedConstraintsMerged data view
MergedVariablesMerged data view
MinimizerIterator hierarchy
ModelBase class for the model class hierarchy
MPIPackBufferClass for packing MPI message buffers
MPIUnpackBufferClass for unpacking MPI message buffers
NCSUOptimizerWrapper class for the NCSU DIRECT optimization library
NestedModelExecution within every evaluation of the model
NIDRProblemDescDBThe derived input file database utilizing the new IDR parser
NL2ResAuxiliary information passed to calcr and calcj via ur
NL2SOLLeastSqWrapper class for the NL2SOL nonlinear least squares library
NLPQLPOptimizerWrapper class for the NLPQLP optimization library, Version 2.0
NLSSOLLeastSqWrapper class for the NLSSOL nonlinear least squares library
NoDBBaseConstructorDummy struct for overloading constructors used in on-the-fly instantiations
NonDBase class for all nondetermistic iterators (the DAKOTA/UQ branch)
NonDAdaptImpSamplingClass for the Adaptive Importance Sampling methods within DAKOTA
NonDEvidenceClass for the Dempster-Shafer Evidence Theory methods within DAKOTA/UQ
NonDExpansionCollocation (SC)
NonDGlobalReliabilityClass for global reliability methods within DAKOTA/UQ
NonDIncremLHSSamplingPerforms icremental LHS sampling for uncertainty quantification
NonDIntegrationNumerical integration points for evaluation of expectation integrals
NonDLHSSamplingPerforms LHS and Monte Carlo sampling for uncertainty quantification
NonDLocalReliabilityClass for the reliability methods within DAKOTA/UQ
NonDPolynomialChaosQuantification
NonDQuadratureNormals/uniforms/exponentials/betas/gammas
NonDReliabilityBase class for the reliability methods within DAKOTA/UQ
NonDSamplingNonDIncremLHSSampling, and NonDAdaptImpSampling
NonDSparseGridIntegrals over independent standard random variables
NonDStochCollocationQuantification
NPSOLOptimizerWrapper class for the NPSOL optimization library
OptimizerBase class for the optimizer branch of the iterator hierarchy
OrthogonalPolynomialBase class for the orthogonal polynomial class hierarchy
OrthogPolyApproximationApproximation)
ParallelConfigurationCollectively identify a particular multilevel parallel configuration
ParallelDirectApplicInterfacePlug-ins using assign_rep()
ParallelLevelCommunicator partitioning
ParallelLibraryMessage passing within these levels
ParamResponsePairEvaluation id
ParamStudyClass for vector, list, centered, and multidimensional parameter studies
partial_prp_equalityPredicate for comparing ONLY the idInterface and Vars attributes of PRPair
partial_prp_hashWrapper to delegate to the ParamResponsePair hash_value function
ProblemDescDBThe database containing information parsed from the DAKOTA input file
PStudyDACEDesign of experiments methods
PSUADEDesignCompExpWrapper class for the PSUADE library
RecastBaseConstructorInstantiations
RecastModelIn order to recast the form of its inputs and/or outputs
ResponseResponse provides the handle class
ResponseRepResponseRep provides the body class
SequentialHybridStrategyModels of varying fidelity
SerialDirectApplicInterfacePlug-ins using assign_rep()
SingleMethodStrategySingle model
SingleModelVariables into responses
SNLLBaseBase class for OPT++ optimization and least squares methods
SNLLLeastSqWrapper class for the OPT++ optimization library
SNLLOptimizerWrapper class for the OPT++ optimization library
SOLBaseBase class for Stanford SOL software
StrategyBase class for the strategy class hierarchy
StringDakota::String class, used as main string class for Dakota
SurfpackApproximationInterface between Surfpack and Dakota
SurrBasedGlobalMinimizerAnd updates a global surrogate model without trust region controls
SurrBasedLocalMinimizerAnd nonlinear least squares
SurrBasedMinimizerBase class for local/global surrogate-based optimization/least squares
SurrogateDataPointFor defining a "truth" data point
SurrogateDataPointRepOr body, may be shared by multiple SurrogateDataPoint handle instances
SurrogateModelBase class for surrogate models (DataFitSurrModel and HierarchSurrModel)
SysCallAnalysisCodeSimulations using system calls
SysCallApplicInterfaceUsing system calls
TANA3ApproximationApproximation (a multipoint approximation)
TaylorApproximationSeries (a local approximation)
VariablesBase class for the variables class hierarchy
VectorTemplate class for the Dakota numerical vector

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