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Dakota
Version
Explore and Predict with Confidence
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Dakota
Version
Explore and Predict with Confidence
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| ►Ndakota | Dakota (lowercase) namespace for new Dakota modules |
| ►Nsurrogates | Namespace for new Dakota surrogates module |
| CGaussianProcess | The GaussianProcess constructs a Gaussian Process regressor surrogate given a matrix of data |
| CGP_Objective | ROL objective function for the Gaussian Process (GP) surrogate |
| CKernel | Kernel functions for the Gaussian Process surrogate |
| CMatern32Kernel | Stationary kernel with C^1 smooth realizations |
| CMatern52Kernel | Stationary kernel with C^2 smooth realizations |
| CPolynomialRegression | Constructs a polynomial regressor using ordinary least squares |
| CSquaredExponentialKernel | Stationary kernel with C^\infty smooth realizations |
| CSurrogate | Parent class for surrogate models |
| ►Nutil | Namespace for new Dakota utilities module |
| CCholeskySolver | Used to solve linear systems with a symmetric matrix with a pivoted Cholesky decomposition |
| CDataScaler | Computes the scaling coefficients and scales a 2D data matrix with dimensions num_samples by num_features |
| CLinearSolverBase | Serves as an API for derived solvers |
| CLUSolver | Used to solve linear systems with the LU decomposition |
| CNormalizationScaler | Normalizes the data using max and min feature values |
| CNoScaler | Leaves the data unscaled |
| CQRSolver | Solves the linear least squares problem with a QR decomposition |
| CStandardizationScaler | Standardizes the data so the each feature has zero mean and unit variance |
| CSVDSolver | Used to solve linear systems with the singular value decomposition |
| ►NDakota | The primary namespace for DAKOTA |
| CActiveSet | Container class for active set tracking information. Contains the active set request vector and the derivative variables vector |
| CActiveSubspaceModel | Active subspace model for input (variable space) reduction |
| CAdaptedBasisModel | Adapted basis model for input (variable space) reduction |
| CAdapterModel | Derived model class which wraps call-back functions for solving minimization sub-problems |
| CAddAttributeVisitor | Objects of this class are called by boost::appy_visitor to add attributes to HDF5 objects |
| CAnalyzer | Base class for NonD, DACE, and ParamStudy branches of the iterator hierarchy |
| CApplicationInterface | Derived class within the interface class hierarchy for supporting interfaces to simulation codes |
| CApproximation | Base class for the approximation class hierarchy |
| CApproximationInterface | Derived class within the interface class hierarchy for supporting approximations to simulation-based results |
| CAPPSEvalMgr | Evaluation manager class for APPSPACK |
| CAPPSOptimizer | Wrapper class for HOPSPACK |
| CAppsTraits | HOPSPACK-specific traits class |
| CApreproWriter | Utility used in derived write_core to write in aprepro format |
| CAttachScaleVisitor | Objects of this class are called by boost::appy_visitor to add dimension scales (RealScale or StringScale) to HDF5 datasets |
| CBaseConstructor | Dummy struct for overloading letter-envelope constructors |
| CBootstrapSampler | Actual boostrap sampler implementation for common data types |
| CBootstrapSampler< Teuchos::SerialDenseMatrix< OrdinalType, ScalarType > > | Bootstrap sampler that is specialized to allow for the bootstrapping of RealMatrix |
| CBootstrapSamplerBase | Base class/interface for the bootstrap sampler |
| CBootstrapSamplerWithGS | A derived sampler to allow for user specification of the accessor methods |
| CC3Approximation | Derived approximation class for global basis polynomials |
| CC3FnTrainData | Handle for reference-counted pointer to C3FnTrainDataRep body |
| CCOLINApplication | |
| CCOLINOptimizer | Wrapper class for optimizers defined using COLIN |
| CCOLINTraits | A version of TraitsBase specialized for COLIN optimizers |
| CCollabHybridMetaIterator | Meta-iterator for hybrid iteration using multiple collaborating optimization and nonlinear least squares methods |
| CCommandLineHandler | Utility class for managing command line inputs to DAKOTA |
| CCommandShell | Utility class which defines convenience operators for spawning processes with system calls |
| CConcurrentMetaIterator | Meta-iterator for multi-start iteration or pareto set optimization |
| CCONMINOptimizer | Wrapper class for the CONMIN optimization library |
| CCONMINTraits | A version of TraitsBase specialized for CONMIN optimizers |
| CConsoleRedirector | |
| CConstraints | Base class for the variable constraints class hierarchy |
| CDAGSolutionData | Container class for numerical solutions for a given DAG |
| CDakotaROLEqConstraints | |
| CDakotaROLEqConstraintsGrad | |
| CDakotaROLEqConstraintsHess | |
| CDakotaROLIneqConstraints | |
| CDakotaROLIneqConstraintsGrad | |
| CDakotaROLIneqConstraintsHess | |
| CDakotaROLObjective | |
| CDakotaROLObjectiveGrad | |
| CDakotaROLObjectiveHess | |
| CDataEnvironment | Handle class for environment specification data |
| CDataEnvironmentRep | Body class for environment specification data |
| CDataFitSurrBasedLocalTraits | Class for provably-convergent local surrogate-based optimization and nonlinear least squares |
| CDataFitSurrModel | Derived model class within the surrogate model branch for managing data fit surrogates (global and local) |
| CDataInterface | Handle class for interface specification data |
| CDataMethod | Handle class for method specification data |
| CDataMethodRep | Body class for method specification data |
| CDataModel | Handle class for model specification data |
| CDataModelRep | Body class for model specification data |
| CDataResponses | Handle class for responses specification data |
| CDataResponsesRep | Body class for responses specification data |
| CDataTransformModel | Data transformation specialization of RecastModel |
| CDataVariables | Handle class for variables specification data |
| CDataVariablesRep | Body class for variables specification data |
| CDDACEDesignCompExp | Wrapper class for the DDACE design of experiments library |
| CDerivInformedPropCovLogitTK | Dakota transition kernel that updates proposal covariance based on derivatives (for logit random walk case) |
| CDerivInformedPropCovTK | Dakota transition kernel that updates proposal covariance based on derivatives (for random walk case) |
| CDirectApplicInterface | Derived application interface class which spawns simulation codes and testers using direct procedure calls |
| CDiscrepancyCorrection | Base class for discrepancy corrections |
| CDLSolverTraits | A version of TraitsBase specialized for DLSolver |
| CDOTTraits | Wrapper class for the DOT optimization library |
| CEffGlobalMinimizer | |
| CEffGlobalTraits | Implementation of Efficient Global Optimization/Least Squares algorithms |
| CEmbedHybridMetaIterator | Meta-iterator for closely-coupled hybrid iteration, typically involving the embedding of local search methods within global search methods |
| CEnsembleSurrModel | Derived model class within the surrogate model branch for managing a truth model alongside approximation models of varying fidelity |
| CEnvironment | Base class for the environment class hierarchy |
| CExecutableEnvironment | Environment corresponding to execution as a stand-alone application |
| CExperimentData | Interpolation method for interpolating between experimental and model data. I need to work on inputs/outputs to this method. For now, this assumes interpolation of functional data |
| CExperimentResponse | Container class for response functions and their derivatives. ExperimentResponse provides the body class |
| CFileReadException | Base class for Dakota file read exceptions (to allow catching both tabular and general file truncation issues) |
| CForkApplicInterface | Derived application interface class which spawns simulation codes using fork/execvp/waitpid |
| CFSUDesignCompExp | Wrapper class for the FSUDace QMC/CVT library |
| CFunctionEvalFailure | Exception class for function evaluation failures |
| CGaussProcApproximation | Derived approximation class for Gaussian Process implementation |
| CGeneralReader | Utility used in derived read_core to read in generic format |
| CGeneralWriter | Utility used in derived write_core to write in generic format |
| CGetLongOpt | GetLongOpt is a general command line utility from S. Manoharan (Advanced Computer Research Institute, Lyon, France) |
| CGraphics | Single interface to 2D (motif) and 3D (PLPLOT) graphics; there is only one instance of this OutputManager::dakotaGraphics |
| CGridApplicInterface | Derived application interface class which spawns simulation codes using grid services such as Condor or Globus |
| CHDF5IOHelper | |
| CHierarchSurrBasedLocalTraits | Class for multilevel-multifidelity optimization algorithm |
| CIntegerScale | Data structure for storing int-valued dimension scale |
| CInterface | Base class for the interface class hierarchy |
| CIterator | Base class for the iterator class hierarchy |
| CIteratorScheduler | This class encapsulates scheduling operations for concurrent sub-iteration within an outer level context (e.g., meta-iteration, nested models) |
| ►CJEGAOptimizer | A version of Dakota::Optimizer for instantiation of John Eddy's Genetic Algorithms (JEGA) |
| CDriver | A subclass of the JEGA front end driver that exposes the individual protected methods to execute the algorithm |
| CEvaluator | An evaluator specialization that knows how to interact with Dakota |
| CEvaluatorCreator | A specialization of the JEGA::FrontEnd::EvaluatorCreator that creates a new instance of a Evaluator |
| CJEGATraits | A version of TraitsBase specialized for John Eddy's Genetic Algorithms (JEGA) |
| CLabelsWriter | Utility used in derived write_core to write labels in tabular format |
| CLeastSq | Base class for the nonlinear least squares branch of the iterator hierarchy |
| CLibraryEnvironment | Environment corresponding to execution as an embedded library |
| CLightWtBaseConstructor | Dummy struct for overloading constructors used in on-the-fly Model instantiations |
| CMatchesWC | Predicate that returns true when the passed path matches the wild_card with which it was configured. Currently supports * and ? |
| CMatlabInterface | |
| CMetaIterator | Base class for meta-iterators |
| CMinimizer | Base class for the optimizer and least squares branches of the iterator hierarchy |
| CMinimizerAdapterModel | Derived model class which wraps call-back functions for solving minimization sub-problems |
| CMixedVarConstraints | Derived class within the Constraints hierarchy which separates continuous and discrete variables (no domain type array merging) |
| CMixedVariables | Derived class within the Variables hierarchy which separates continuous and discrete variables (no domain type array merging) |
| CModel | Base class for the model class hierarchy |
| CMPIManager | Class MPIManager to manage Dakota's MPI world, which may be a subset of MPI_COMM_WORLD |
| CMPIPackBuffer | Class for packing MPI message buffers |
| CMPIUnpackBuffer | Class for unpacking MPI message buffers |
| CNCSUOptimizer | Wrapper class for the NCSU DIRECT optimization library |
| CNCSUTraits | A version of TraitsBase specialized for NCSU optimizers |
| CNestedModel | Derived model class which performs a complete sub-iterator execution within every evaluation of the model |
| CNIDRProblemDescDB | The derived input file database utilizing the new IDR parser |
| CNL2Res | Auxiliary information passed to calcr and calcj via ur |
| CNL2SOLLeastSq | Wrapper class for the NL2SOL nonlinear least squares library |
| CNL2SOLLeastSqTraits | A version of TraitsBase specialized for NL2SOL nonlinear least squares library |
| CNLPQLPTraits | Wrapper class for the NLPQLP optimization library, Version 2.0 |
| CNLSSOLLeastSq | Wrapper class for the NLSSOL nonlinear least squares library |
| CNLSSOLLeastSqTraits | A version of TraitsBase specialized for NLSSOL nonlinear least squares library |
| CNoDBBaseConstructor | Dummy struct for overloading constructors used in on-the-fly instantiations without ProblemDescDB support |
| CNomadTraits | Wrapper class for NOMAD Optimizer |
| CNonD | Base class for all nondetermistic iterators (the DAKOTA/UQ branch) |
| CNonDACVSampling | Perform Approximate Control Variate Monte Carlo sampling for UQ |
| CNonDAdaptImpSampling | Class for the Adaptive Importance Sampling methods within DAKOTA |
| CNonDAdaptiveSampling | Class for testing various Adaptively sampling methods using geometric, statisctical, and topological information of the surrogate |
| CNonDBayesCalibration | Base class for Bayesian inference: generates posterior distribution on model parameters given experimental data |
| CNonDC3FunctionTrain | Nonintrusive uncertainty quantification with the C3 library .. |
| CNonDCalibration | |
| CNonDCubature | Derived nondeterministic class that generates N-dimensional numerical cubature points for evaluation of expectation integrals |
| CNonDDREAMBayesCalibration | Bayesian inference using the DREAM approach |
| CNonDEnsembleSampling | Base class for Monte Carlo sampling across Model ensembles |
| CNonDExpansion | Base class for polynomial chaos expansions (PCE), stochastic collocation (SC) and functional tensor train (FT) |
| CNonDGenACVSampling | Perform Generalized Approximate Control Variate Monte Carlo sampling |
| CNonDGlobalEvidence | Class for the Dempster-Shafer Evidence Theory methods within DAKOTA/UQ |
| CNonDGlobalInterval | Class for using global nongradient-based optimization approaches to calculate interval bounds for epistemic uncertainty quantification |
| CNonDGlobalReliability | Class for global reliability methods within DAKOTA/UQ |
| CNonDGlobalSingleInterval | Class for using global nongradient-based optimization approaches to calculate interval bounds for epistemic uncertainty quantification |
| CNonDGPImpSampling | Class for the Gaussian Process-based Importance Sampling method |
| CNonDGPMSABayesCalibration | Generates posterior distribution on model parameters given experiment data |
| CNonDHierarchSampling | Performs Hierarch Monte Carlo sampling for uncertainty quantification |
| CNonDIntegration | Derived nondeterministic class that generates N-dimensional numerical integration points for evaluation of expectation integrals |
| CNonDInterval | Base class for interval-based methods within DAKOTA/UQ |
| CNonDLHSEvidence | Class for the Dempster-Shafer Evidence Theory methods within DAKOTA/UQ |
| CNonDLHSInterval | Class for the LHS-based interval methods within DAKOTA/UQ |
| CNonDLHSSampling | Performs LHS and Monte Carlo sampling for uncertainty quantification |
| CNonDLHSSingleInterval | Class for pure interval propagation using LHS |
| CNonDLocalEvidence | Class for the Dempster-Shafer Evidence Theory methods within DAKOTA/UQ |
| CNonDLocalInterval | Class for using local gradient-based optimization approaches to calculate interval bounds for epistemic uncertainty quantification |
| CNonDLocalReliability | Class for the reliability methods within DAKOTA/UQ |
| CNonDLocalSingleInterval | Class for using local gradient-based optimization approaches to calculate interval bounds for epistemic uncertainty quantification |
| CNonDMultifidelitySampling | Perform Approximate Control Variate Monte Carlo sampling for UQ |
| CNonDMultilevControlVarSampling | Performs multilevel-multifidelity Monte Carlo sampling for uncertainty quantification |
| CNonDMultilevelFunctionTrain | Nonintrusive polynomial chaos expansion approaches to uncertainty quantification |
| CNonDMultilevelPolynomialChaos | Nonintrusive polynomial chaos expansion approaches to uncertainty quantification |
| CNonDMultilevelSampling | Performs Multilevel Monte Carlo sampling for uncertainty quantification |
| CNonDMultilevelStochCollocation | Nonintrusive stochastic collocation approaches to uncertainty quantification |
| CNonDMUQBayesCalibration | Dakota interface to MUQ (MIT Uncertainty Quantification) library |
| CNonDNonHierarchSampling | Base class for non-hierarchical ensemble-based Monte Carlo sampling |
| CNonDPOFDarts | Base class for POF Dart methods within DAKOTA/UQ |
| CNonDPolynomialChaos | Nonintrusive polynomial chaos expansion approaches to uncertainty quantification |
| CNonDQuadrature | Derived nondeterministic class that generates N-dimensional numerical quadrature points for evaluation of expectation integrals over uncorrelated standard normals/uniforms/exponentials/betas/gammas |
| CNonDQUESOBayesCalibration | Bayesian inference using the QUESO library from UT Austin |
| CNonDReliability | Base class for the reliability methods within DAKOTA/UQ |
| CNonDRKDDarts | Base class for the Recursive k-d Dart methods within DAKOTA/UQ |
| CNonDSampling | Base class for common code between NonDLHSSampling, NonDAdaptImpSampling, and other specializations |
| CNonDSparseGrid | Derived nondeterministic class that generates N-dimensional Smolyak sparse grids for numerical evaluation of expectation integrals over independent standard random variables |
| CNonDStochCollocation | Nonintrusive stochastic collocation approaches to uncertainty quantification |
| CNonDSurrogateExpansion | Generic uncertainty quantification with Model-based stochastic expansions |
| CNonDWASABIBayesCalibration | WASABI - Weighted Adaptive Surrogate Approximations for Bayesian Inference |
| CNonlinearCGOptimizer | |
| CNonlinearCGTraits | A version of TraitsBase specialized for NonlinearCG optimizers |
| CNOWPACBlackBoxEvaluator | Derived class for plugging Dakota evaluations into NOWPAC solver |
| CNOWPACOptimizer | Wrapper class for the (S)NOWPAC optimization algorithms from Florian Augustin (MIT) |
| CNOWPACTraits | A version of TraitsBase specialized for NOWPAC optimizers |
| CNPSOLTraits | Wrapper class for the NPSOL optimization library |
| COptDartsOptimizer | Wrapper class for OptDarts Optimizer |
| COptDartsTraits | A version of TraitsBase specialized for OptDarts |
| COptimizer | Base class for the optimizer branch of the iterator hierarchy |
| COutputManager | Class to manage redirection of stdout/stderr, keep track of current redir state, and manage rank 0 output. Also manage tabular data output for post-processing with Matlab, Tecplot, etc. and delegate to Graphics for X Windows Graphics |
| COutputWriter | |
| CParallelConfiguration | Container class for a set of ParallelLevel list iterators that collectively identify a particular multilevel parallel configuration |
| CParallelLevel | Container class for the data associated with a single level of communicator partitioning |
| CParallelLibrary | Class for partitioning multiple levels of parallelism and managing message passing within these levels |
| CParamResponsePair | Container class for a variables object, a response object, and an evaluation id |
| CParamStudy | Class for vector, list, centered, and multidimensional parameter studies |
| Cpartial_prp_equality | Predicate for comparing ONLY the interfaceId and Vars attributes of PRPair |
| Cpartial_prp_hash | Wrapper to delegate to the ParamResponsePair hash_value function |
| CPebbldBranching | Main Branching class for the PEBBL-based Minimizer |
| CPebbldBranchSub | Sub Branch class for the PEBBL-based Minimizer |
| CPebbldTraits | Wrapper class for experimental PebbldMinimizer |
| CPecosApproximation | Derived approximation class for global basis polynomials |
| CPrefixingLineFilter | |
| CProbabilityTransformModel | Probability transformation specialization of RecastModel |
| CProblemDescDB | The database containing information parsed from the DAKOTA input file |
| CProcessApplicInterface | Derived application interface class that spawns a simulation code using a separate process and communicates with it through files |
| CProcessHandleApplicInterface | Derived application interface class that spawns a simulation code using a separate process, receives a process identifier, and communicates with the spawned process through files |
| CProgramOptions | ProgramOptions stores options whether from the CLH or from library user; initially valid only on worldRank = 0, but then broadcast in ParallelLibrary::push_output_tag() |
| CPStudyDACE | Base class for managing common aspects of parameter studies and design of experiments methods |
| CPSUADEDesignCompExp | Wrapper class for the PSUADE library |
| CPybind11Interface | |
| CPythonInterface | |
| CQMEApproximation | Derived approximation class for QMEA Quadratic Multipoint Exponential Approximation (a multipoint approximation) |
| CQuesoJointPdf | Dakota specialization of QUESO generic joint PDF |
| CQuesoVectorRV | Dakota specialization of QUESO vector-valued random variable |
| CRandomFieldModel | Random field model, capable of generating and then forward propagating |
| CRealScale | Data structure for storing real-valued dimension scale |
| CRecastModel | Derived model class which provides a thin wrapper around a sub-model in order to recast the form of its inputs and/or outputs |
| CReducedBasis | |
| CRelaxedVarConstraints | Derived class within the Constraints hierarchy which employs relaxation of discrete variables |
| CRelaxedVariables | Derived class within the Variables hierarchy which employs the relaxation of discrete variables |
| CResponse | Container class for response functions and their derivatives. Response provides the enveloper base class |
| CRestartWriter | |
| CResultAttribute | Data structure for a single Real, String, or int valued attribute |
| CResultsDBAny | |
| CResultsDBBase | |
| CResultsDBHDF5 | Manage interactions between ResultsManager and the low-level HDFIOHelper class |
| CResultsEntry | Class to manage in-core vs. file database lookups |
| CResultsFileError | Exception throw for other results file read error |
| CResultsManager | Results manager for iterator final data |
| CResultsNames | List of valid names for iterator results |
| CRichExtrapVerification | Class for Richardson extrapolation for code and solution verification |
| CROLOptimizer | |
| CROLTraits | |
| CScalingModel | Scaling specialization of RecastModel |
| CScalingOptions | Simple container for user-provided scaling data, possibly expanded by replicates through the models |
| CScilabInterface | |
| CSensAnalysisGlobal | Class for a utility class containing correlation calculations and variance-based decomposition |
| CSeqHybridMetaIterator | Method for sequential hybrid iteration using multiple optimization and nonlinear least squares methods on multiple models of varying fidelity |
| CSharedApproxData | Base class for the shared approximation data class hierarchy |
| CSharedC3ApproxData | Derived approximation class for global basis polynomials |
| CSharedPecosApproxData | Derived approximation class for global basis polynomials |
| CSharedResponseData | Container class encapsulating variables data that can be shared among a set of Response instances |
| CSharedResponseDataRep | The representation of a SharedResponseData instance. This representation, or body, may be shared by multiple SharedResponseData handle instances |
| CSharedSurfpackApproxData | Derived approximation class for Surfpack approximation classes. Interface between Surfpack and Dakota |
| CSharedVariablesData | Container class encapsulating variables data that can be shared among a set of Variables instances |
| CSharedVariablesDataRep | The representation of a SharedVariablesData instance. This representation, or body, may be shared by multiple SharedVariablesData handle instances |
| CSimulationModel | Derived model class which utilizes a simulation-based application interface to map variables into responses |
| CSimulationResponse | Container class for response functions and their derivatives. SimulationResponse provides the body class |
| CSNLLBase | Base class for OPT++ optimization and least squares methods |
| CSNLLLeastSq | Wrapper class for the OPT++ optimization library |
| CSNLLLeastSqTraits | A version of TraitsBase specialized for SNLLLeastSq |
| CSNLLOptimizer | Wrapper class for the OPT++ optimization library |
| CSNLLTraits | A version of TraitsBase specialized for SNLL optimizers |
| CSOLBase | Base class for Stanford SOL software |
| CSpawnApplicInterface | Derived application interface class which spawns simulation codes using spawnvp |
| CStringScale | Data structure for storing string-valued dimension scale |
| CSubspaceModel | Subspace model for input (variable space) reduction |
| CSurfpackApproximation | Derived approximation class for Surfpack approximation classes. Interface between Surfpack and Dakota |
| CSurrBasedGlobalMinimizer | |
| CSurrBasedGlobalTraits | The global surrogate-based minimizer which sequentially minimizes and updates a global surrogate model without trust region controls |
| CSurrBasedLocalMinimizer | Class for provably-convergent local surrogate-based optimization and nonlinear least squares |
| CSurrBasedMinimizer | Base class for local/global surrogate-based optimization/least squares |
| CSurrogateModel | Base class for surrogate models (DataFitSurrModel and HierarchSurrModel) |
| CSurrogatesBaseApprox | Derived Approximation class for new Surrogates modules |
| CSurrogatesGPApprox | Derived approximation class for Surrogates approximation classes |
| CSurrogatesPolyApprox | Derived approximation class for Surrogates Polynomial approximation classes |
| CSysCallApplicInterface | Derived application interface class which spawns simulation codes using system calls |
| CTabularDataTruncated | Exception thrown when data read truncated |
| CTabularReader | Utility used in derived read_core to read values in tabular format |
| CTabularWriter | Utility used in derived write_core to write values in tabular format |
| CTANA3Approximation | Derived approximation class for TANA-3 two-point exponential approximation (a multipoint approximation) |
| CTaylorApproximation | Derived approximation class for first- or second-order Taylor series (a local approximation) |
| CTestDriverInterface | |
| CTKFactoryDIPC | Custom RW TKfactory: passes Dakota QUESO instance pointer to the TK at build |
| CTKFactoryDIPCLogit | Custom Logit RW TKfactory: passed Dakota QUESO instance pointer to the TK at build |
| CTPLDataTransfer | |
| ►CTrackerHTTP | TrackerHTTP: a usage tracking module that uses HTTP/HTTPS via the curl library |
| CServer | Struct to hold tracker/proxy pairs |
| CTraitsBase | Base class for traits |
| CUsageTracker | Lightweight class to manage conditionally active Curl-based HTTP tracker via PIMPL |
| CVar_icheck | Structure for verifying bounds and initial point for string-valued vars |
| CVar_rcheck | Structure for verifying bounds and initial point for real-valued vars |
| CVariables | Base class for the variables class hierarchy |
| CVerification | Base class for managing common aspects of verification studies |
| CVLint | Structure for validating integer uncertain variable labels, bounds, values |
| CVLreal | Structure for validating real uncertain variable labels, bounds, values |
| CVLstr | Structure for validating string uncertain variable labels, bounds, values |
| CVPSApproximation | Derived approximation class for VPS implementation |
| CWeightingModel | Weighting specialization of RecastModel |
| CWorkdirHelper | |
| ►NSIM | A sample namespace for derived classes that use assign_rep() to plug facilities into DAKOTA |
| CParallelDirectApplicInterface | Sample derived interface class for testing parallel simulator plug-ins using assign_rep() |
| CSerialDirectApplicInterface | Sample derived interface class for testing serial simulator plug-ins using assign_rep() |
| ►NStanfordPSAAP | A sample namespace for derived classes that use assign_rep() to plug facilities into DAKOTA |
| CSoleilDirectApplicInterface | Sample derived interface class for testing serial simulator plug-ins using assign_rep() |
| Ccallback_data | |
| CPyPolyReg | Extend PolynomialRegression with a new type for Python |
1.8.20
