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Dakota
Version 6.15
Explore and Predict with Confidence
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Dakota
Version 6.15
Explore and Predict with Confidence
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  dakota | Dakota (lowercase) namespace for new Dakota modules |
 surrogates | Namespace for new Dakota surrogates module |
  Surrogate | Parent class for surrogate models |
| GaussianProcess | The GaussianProcess constructs a Gaussian Process regressor surrogate given a matrix of data |
| Kernel | Kernel functions for the Gaussian Process surrogate |
| SquaredExponentialKernel | Stationary kernel with C^ smooth realizations |
| Matern32Kernel | Stationary kernel with C^1 smooth realizations |
| Matern52Kernel | Stationary kernel with C^2 smooth realizations |
| GP_Objective | ROL objective function for the Gaussian Process (GP) surrogate |
 PolynomialRegression | Constructs a polynomial regressor using ordinary least squares |
 util | Namespace for new Dakota utilities module |
 DataScaler | Computes the scaling coefficients and scales a 2D data matrix with dimensions num_samples by num_features |
| NormalizationScaler | Normalizes the data using max and min feature values |
| StandardizationScaler | Standardizes the data so the each feature has zero mean and unit variance |
| NoScaler | Leaves the data unscaled |
| LinearSolverBase | Serves as an API for derived solvers |
| LUSolver | Used to solve linear systems with the LU decomposition |
| SVDSolver | Used to solve linear systems with the singular value decomposition |
| QRSolver | Solves the linear least squares problem with a QR decomposition |
| CholeskySolver | Used to solve linear systems with a symmetric matrix with a pivoted Cholesky decomposition |
| Dakota | The primary namespace for DAKOTA |
| ActiveSubspaceModel | Active subspace model for input (variable space) reduction |
| AdaptedBasisModel | Adapted basis model for input (variable space) reduction |
| ApplicationInterface | Derived class within the interface class hierarchy for supporting interfaces to simulation codes |
| ApproximationInterface | Derived class within the interface class hierarchy for supporting approximations to simulation-based results |
| APPSEvalMgr | Evaluation manager class for APPSPACK |
| AppsTraits | HOPSPACK-specific traits class |
| APPSOptimizer | Wrapper class for HOPSPACK |
| BootstrapSamplerBase | Base class/interface for the bootstrap sampler |
| BootstrapSampler | Actual boostrap sampler implementation for common data types |
| BootstrapSampler< Teuchos::SerialDenseMatrix< OrdinalType, ScalarType > > | Bootstrap sampler that is specialized to allow for the boostrapping of RealMatrix |
| BootstrapSamplerWithGS | A derived sampler to allow for user specification of the accessor methods |
| C3Approximation | Derived approximation class for global basis polynomials |
| C3FnTrainData | Handle for reference-counted pointer to C3FnTrainDataRep body |
| COLINApplication | |
| COLINTraits | A version of TraitsBase specialized for COLIN optimizers |
| COLINOptimizer | Wrapper class for optimizers defined using COLIN |
| CollabHybridMetaIterator | Meta-iterator for hybrid iteration using multiple collaborating optimization and nonlinear least squares methods |
| GetLongOpt | GetLongOpt is a general command line utility from S. Manoharan (Advanced Computer Research Institute, Lyon, France) |
| CommandLineHandler | Utility class for managing command line inputs to DAKOTA |
| CommandShell | Utility class which defines convenience operators for spawning processes with system calls |
| ConcurrentMetaIterator | Meta-iterator for multi-start iteration or pareto set optimization |
| CONMINTraits | A version of TraitsBase specialized for CONMIN optimizers |
| CONMINOptimizer | Wrapper class for the CONMIN optimization library |
| FileReadException | Base class for Dakota file read exceptions (to allow catching both tabular and general file truncation issues) |
| TabularDataTruncated | Exception thrown when data read truncated |
| ResultsFileError | Exception throw for other results file read error |
| FunctionEvalFailure | Exception class for function evaluation failures |
| BaseConstructor | Dummy struct for overloading letter-envelope constructors |
| NoDBBaseConstructor | Dummy struct for overloading constructors used in on-the-fly instantiations without ProblemDescDB support |
| LightWtBaseConstructor | Dummy struct for overloading constructors used in on-the-fly Model instantiations |
| RealScale | Data structure for storing real-valued dimension scale |
| IntegerScale | Data structure for storing int-valued dimension scale |
| StringScale | Data structure for storing string-valued dimension scale |
| ResultAttribute | Data structure for a single Real, String, or int valued attribute |
| ActiveSet | Container class for active set tracking information. Contains the active set request vector and the derivative variables vector |
| Analyzer | Base class for NonD, DACE, and ParamStudy branches of the iterator hierarchy |
| Approximation | Base class for the approximation class hierarchy |
| Constraints | Base class for the variable constraints class hierarchy |
| Environment | Base class for the environment class hierarchy |
| Graphics | Single interface to 2D (motif) and 3D (PLPLOT) graphics; there is only one instance of this OutputManager::dakotaGraphics |
| Interface | Base class for the interface class hierarchy |
| Iterator | Base class for the iterator class hierarchy |
| LeastSq | Base class for the nonlinear least squares branch of the iterator hierarchy |
| Minimizer | Base class for the optimizer and least squares branches of the iterator hierarchy |
| Model | Base class for the model class hierarchy |
| NonD | Base class for all nondetermistic iterators (the DAKOTA/UQ branch) |
| Optimizer | Base class for the optimizer branch of the iterator hierarchy |
| PStudyDACE | Base class for managing common aspects of parameter studies and design of experiments methods |
| Response | Container class for response functions and their derivatives. Response provides the enveloper base class |
| SurrogatesBaseApprox | Derived Approximation class for new Surrogates modules |
| SurrogatesGPApprox | Derived approximation class for Surrogates approximation classes |
| SurrogatesPolyApprox | Derived approximation class for Surrogates Polynomial approximation classes |
| TPLDataTransfer | |
| TraitsBase | Base class for traits |
| GeneralReader | Utility used in derived read_core to read in generic format |
| TabularReader | Utility used in derived read_core to read values in tabular format |
| GeneralWriter | Utility used in derived write_core to write in generic format |
| ApreproWriter | Utility used in derived write_core to write in aprepro format |
| TabularWriter | Utility used in derived write_core to write values in tabular format |
| LabelsWriter | Utility used in derived write_core to write labels in tabular format |
| Variables | Base class for the variables class hierarchy |
| Verification | Base class for managing common aspects of verification studies |
| DataEnvironmentRep | Body class for environment specification data |
| DataEnvironment | Handle class for environment specification data |
| DataFitSurrBasedLocalTraits | Class for provably-convergent local surrogate-based optimization and nonlinear least squares |
| DataFitSurrModel | Derived model class within the surrogate model branch for managing data fit surrogates (global and local) |
| DataInterface | Handle class for interface specification data |
| DataMethodRep | Body class for method specification data |
| DataMethod | Handle class for method specification data |
| DataModelRep | Body class for model specification data |
| DataModel | Handle class for model specification data |
| DataResponsesRep | Body class for responses specification data |
| DataResponses | Handle class for responses specification data |
| DataTransformModel | Data transformation specialization of RecastModel |
| DataVariablesRep | Body class for variables specification data |
| DataVariables | Handle class for variables specification data |
| DDACEDesignCompExp | Wrapper class for the DDACE design of experiments library |
| DirectApplicInterface | Derived application interface class which spawns simulation codes and testers using direct procedure calls |
| DiscrepancyCorrection | Base class for discrepancy corrections |
| DLSolverTraits | A version of TraitsBase specialized for DLSolver |
| DOTTraits | Wrapper class for the DOT optimization library |
| EffGlobalTraits | Implementation of Efficient Global Optimization/Least Squares algorithms |
| EffGlobalMinimizer | |
| EmbedHybridMetaIterator | Meta-iterator for closely-coupled hybrid iteration, typically involving the embedding of local search methods within global search methods |
| ExecutableEnvironment | Environment corresponding to execution as a stand-alone application |
| ExperimentData | 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 |
| ExperimentResponse | Container class for response functions and their derivatives. ExperimentResponse provides the body class |
| ForkApplicInterface | Derived application interface class which spawns simulation codes using fork/execvp/waitpid |
| FSUDesignCompExp | Wrapper class for the FSUDace QMC/CVT library |
| GaussProcApproximation | Derived approximation class for Gaussian Process implementation |
| GridApplicInterface | Derived application interface class which spawns simulation codes using grid services such as Condor or Globus |
| HDF5IOHelper | |
| HierarchSurrBasedLocalTraits | Class for multilevel-multifidelity optimization algorithm |
| HierarchSurrModel | Derived model class within the surrogate model branch for managing hierarchical surrogates (models of varying fidelity) |
| IteratorScheduler | This class encapsulates scheduling operations for concurrent sub-iteration within an outer level context (e.g., meta-iteration, nested models) |
| JEGAOptimizer | A version of Dakota::Optimizer for instantiation of John Eddy's Genetic Algorithms (JEGA) |
| Driver | A subclass of the JEGA front end driver that exposes the individual protected methods to execute the algorithm |
| Evaluator | An evaluator specialization that knows how to interact with Dakota |
| EvaluatorCreator | A specialization of the JEGA::FrontEnd::EvaluatorCreator that creates a new instance of a Evaluator |
| JEGATraits | A version of TraitsBase specialized for John Eddy's Genetic Algorithms (JEGA) |
| LibraryEnvironment | Environment corresponding to execution as an embedded library |
| MatlabInterface | |
| MetaIterator | Base class for meta-iterators |
| MixedVarConstraints | Derived class within the Constraints hierarchy which separates continuous and discrete variables (no domain type array merging) |
| MixedVariables | Derived class within the Variables hierarchy which separates continuous and discrete variables (no domain type array merging) |
| MPIManager | Class MPIManager to manage Dakota's MPI world, which may be a subset of MPI_COMM_WORLD |
| MPIPackBuffer | Class for packing MPI message buffers |
| MPIUnpackBuffer | Class for unpacking MPI message buffers |
| NCSUTraits | A version of TraitsBase specialized for NCSU optimizers |
| NCSUOptimizer | Wrapper class for the NCSU DIRECT optimization library |
| NestedModel | Derived model class which performs a complete sub-iterator execution within every evaluation of the model |
| Var_rcheck | Structure for verifying bounds and initial point for real-valued vars |
| Var_icheck | Structure for verifying bounds and initial point for string-valued vars |
| VLreal | Structure for validating real uncertain variable labels, bounds, values |
| VLint | Structure for validating integer uncertain variable labels, bounds, values |
| VLstr | Structure for validating string uncertain variable labels, bounds, values |
| NIDRProblemDescDB | The derived input file database utilizing the new IDR parser |
| NL2Res | Auxiliary information passed to calcr and calcj via ur |
| NL2SOLLeastSqTraits | A version of TraitsBase specialized for NL2SOL nonlinear least squares library |
| NL2SOLLeastSq | Wrapper class for the NL2SOL nonlinear least squares library |
| NLPQLPTraits | Wrapper class for the NLPQLP optimization library, Version 2.0 |
| NLSSOLLeastSqTraits | A version of TraitsBase specialized for NLSSOL nonlinear least squares library |
| NLSSOLLeastSq | Wrapper class for the NLSSOL nonlinear least squares library |
| NomadTraits | Wrapper class for NOMAD Optimizer |
| NonDACVSampling | Perform Approximate Control Variate Monte Carlo sampling for UQ |
| NonDAdaptImpSampling | Class for the Adaptive Importance Sampling methods within DAKOTA |
| NonDAdaptiveSampling | Class for testing various Adaptively sampling methods using geometric, statisctical, and topological information of the surrogate |
| NonDBayesCalibration | Base class for Bayesian inference: generates posterior distribution on model parameters given experimental data |
| NonDC3FunctionTrain | Nonintrusive uncertainty quantification with the C3 library .. |
| NonDCalibration | |
| NonDControlVariateSampling | Performs Multifidelity Monte Carlo sampling for UQ |
| NonDCubature | Derived nondeterministic class that generates N-dimensional numerical cubature points for evaluation of expectation integrals |
| NonDDREAMBayesCalibration | Bayesian inference using the DREAM approach |
| NonDEnsembleSampling | Base class for Monte Carlo sampling across Model ensembles |
| NonDExpansion | Base class for polynomial chaos expansions (PCE), stochastic collocation (SC) and functional tensor train (FT) |
| NonDGlobalEvidence | Class for the Dempster-Shafer Evidence Theory methods within DAKOTA/UQ |
| NonDGlobalInterval | Class for using global nongradient-based optimization approaches to calculate interval bounds for epistemic uncertainty quantification |
| NonDGlobalReliability | Class for global reliability methods within DAKOTA/UQ |
| NonDGlobalSingleInterval | Class for using global nongradient-based optimization approaches to calculate interval bounds for epistemic uncertainty quantification |
| NonDGPImpSampling | Class for the Gaussian Process-based Importance Sampling method |
| NonDGPMSABayesCalibration | Generates posterior distribution on model parameters given experiment data |
| NonDHierarchSampling | Performs Hierarch Monte Carlo sampling for uncertainty quantification |
| NonDIntegration | Derived nondeterministic class that generates N-dimensional numerical integration points for evaluation of expectation integrals |
| NonDInterval | Base class for interval-based methods within DAKOTA/UQ |
| NonDLHSEvidence | Class for the Dempster-Shafer Evidence Theory methods within DAKOTA/UQ |
| NonDLHSInterval | Class for the LHS-based interval methods within DAKOTA/UQ |
| NonDLHSSampling | Performs LHS and Monte Carlo sampling for uncertainty quantification |
| NonDLHSSingleInterval | Class for pure interval propagation using LHS |
| NonDLocalEvidence | Class for the Dempster-Shafer Evidence Theory methods within DAKOTA/UQ |
| NonDLocalInterval | Class for using local gradient-based optimization approaches to calculate interval bounds for epistemic uncertainty quantification |
| NonDLocalReliability | Class for the reliability methods within DAKOTA/UQ |
| NonDLocalSingleInterval | Class for using local gradient-based optimization approaches to calculate interval bounds for epistemic uncertainty quantification |
| NonDMultifidelitySampling | Perform Approximate Control Variate Monte Carlo sampling for UQ |
| NonDMultilevControlVarSampling | Performs multilevel-multifidelity Monte Carlo sampling for uncertainty quantification |
| NonDMultilevelFunctionTrain | Nonintrusive polynomial chaos expansion approaches to uncertainty quantification |
| NonDMultilevelPolynomialChaos | Nonintrusive polynomial chaos expansion approaches to uncertainty quantification |
| NonDMultilevelSampling | Performs Multilevel Monte Carlo sampling for uncertainty quantification |
| NonDMultilevelStochCollocation | Nonintrusive stochastic collocation approaches to uncertainty quantification |
| NonDMUQBayesCalibration | Dakota interface to MUQ (MIT Uncertainty Quantification) library |
| NonDNonHierarchSampling | Perform Approximate Control Variate Monte Carlo sampling for UQ |
| NonDPOFDarts | Base class for POF Dart methods within DAKOTA/UQ |
| NonDPolynomialChaos | Nonintrusive polynomial chaos expansion approaches to uncertainty quantification |
| NonDQuadrature | Derived nondeterministic class that generates N-dimensional numerical quadrature points for evaluation of expectation integrals over uncorrelated standard normals/uniforms/exponentials/betas/gammas |
| DerivInformedPropCovTK | Dakota transition kernel that updates proposal covariance based on derivatives (for random walk case) |
| DerivInformedPropCovLogitTK | Dakota transition kernel that updates proposal covariance based on derivatives (for logit random walk case) |
| NonDQUESOBayesCalibration | Bayesian inference using the QUESO library from UT Austin |
| NonDReliability | Base class for the reliability methods within DAKOTA/UQ |
| NonDRKDDarts | Base class for the Recursive k-d Dart methods within DAKOTA/UQ |
| NonDSampling | Base class for common code between NonDLHSSampling, NonDAdaptImpSampling, and other specializations |
| NonDSparseGrid | Derived nondeterministic class that generates N-dimensional Smolyak sparse grids for numerical evaluation of expectation integrals over independent standard random variables |
| NonDStochCollocation | Nonintrusive stochastic collocation approaches to uncertainty quantification |
| NonDSurrogateExpansion | Generic uncertainty quantification with Model-based stochastic expansions |
| NonDWASABIBayesCalibration | WASABI - Weighted Adaptive Surrogate Approximations for Bayesian Inference |
| NonHierarchSurrModel | Derived model class within the surrogate model branch for managing hierarchical surrogates (models of varying fidelity) |
| NonlinearCGTraits | A version of TraitsBase specialized for NonlinearCG optimizers |
| NonlinearCGOptimizer | |
| NOWPACBlackBoxEvaluator | Derived class for plugging Dakota evaluations into NOWPAC solver |
| NOWPACTraits | A version of TraitsBase specialized for NOWPAC optimizers |
| NOWPACOptimizer | Wrapper class for the (S)NOWPAC optimization algorithms from Florian Augustin (MIT) |
| NPSOLTraits | Wrapper class for the NPSOL optimization library |
| OptDartsTraits | A version of TraitsBase specialized for OptDarts |
| OptDartsOptimizer | Wrapper class for OptDarts Optimizer |
| OutputWriter | |
| ConsoleRedirector | |
| RestartWriter | |
| OutputManager | 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 |
| ParallelLevel | Container class for the data associated with a single level of communicator partitioning |
| ParallelConfiguration | Container class for a set of ParallelLevel list iterators that collectively identify a particular multilevel parallel configuration |
| ParallelLibrary | Class for partitioning multiple levels of parallelism and managing message passing within these levels |
| ParamResponsePair | Container class for a variables object, a response object, and an evaluation id |
| ParamStudy | Class for vector, list, centered, and multidimensional parameter studies |
| PebbldBranching | Main Branching class for the PEBBL-based Minimizer |
| PebbldBranchSub | Sub Branch class for the PEBBL-based Minimizer |
| PebbldTraits | Wrapper class for experimental PebbldMinimizer |
| PecosApproximation | Derived approximation class for global basis polynomials |
| ProbabilityTransformModel | Probability transformation specialization of RecastModel |
| ProblemDescDB | The database containing information parsed from the DAKOTA input file |
| ProcessApplicInterface | Derived application interface class that spawns a simulation code using a separate process and communicates with it through files |
| ProcessHandleApplicInterface | 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 |
| ProgramOptions | 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() |
| partial_prp_hash | Wrapper to delegate to the ParamResponsePair hash_value function |
| partial_prp_equality | Predicate for comparing ONLY the interfaceId and Vars attributes of PRPair |
| PSUADEDesignCompExp | Wrapper class for the PSUADE library |
| Pybind11Interface | |
| PythonInterface | |
| QMEApproximation | Derived approximation class for QMEA Quadratic Multipoint Exponential Approximation (a multipoint approximation) |
| QuesoJointPdf | Dakota specialization of QUESO generic joint PDF |
| QuesoVectorRV | Dakota specialization of QUESO vector-valued random variable |
| TKFactoryDIPC | Custom RW TKfactory: passes Dakota QUESO instance pointer to the TK at build |
| TKFactoryDIPCLogit | Custom Logit RW TKfactory: passed Dakota QUESO instance pointer to the TK at build |
| RandomFieldModel | Random field model, capable of generating and then forward propagating |
| RecastModel | Derived model class which provides a thin wrapper around a sub-model in order to recast the form of its inputs and/or outputs |
| ReducedBasis | |
| RelaxedVarConstraints | Derived class within the Constraints hierarchy which employs relaxation of discrete variables |
| RelaxedVariables | Derived class within the Variables hierarchy which employs the relaxation of discrete variables |
| ResultsDBAny | |
| ResultsDBBase | |
| AddAttributeVisitor | Objects of this class are called by boost::appy_visitor to add attributes to HDF5 objects |
| AttachScaleVisitor | Objects of this class are called by boost::appy_visitor to add dimension scales (RealScale or StringScale) to HDF5 datasets |
| ResultsDBHDF5 | Manage interactions between ResultsManager and the low-level HDFIOHelper class |
| ResultsNames | List of valid names for iterator results |
| ResultsManager | Results manager for iterator final data |
| ResultsEntry | Class to manage in-core vs. file database lookups |
| RichExtrapVerification | Class for Richardson extrapolation for code and solution verification |
| ROLOptimizer | |
| ROLTraits | |
| DakotaROLObjective | |
| DakotaROLObjectiveGrad | |
| DakotaROLObjectiveHess | |
| DakotaROLIneqConstraints | |
| DakotaROLIneqConstraintsGrad | |
| DakotaROLIneqConstraintsHess | |
| DakotaROLEqConstraints | |
| DakotaROLEqConstraintsGrad | |
| DakotaROLEqConstraintsHess | |
| PrefixingLineFilter | |
| ScalingModel | Scaling specialization of RecastModel |
| ScalingOptions | Simple container for user-provided scaling data, possibly expanded by replicates through the models |
| ScilabInterface | |
| SensAnalysisGlobal | Class for a utility class containing correlation calculations and variance-based decomposition |
| SeqHybridMetaIterator | Method for sequential hybrid iteration using multiple optimization and nonlinear least squares methods on multiple models of varying fidelity |
| SharedApproxData | Base class for the shared approximation data class hierarchy |
| SharedC3ApproxData | Derived approximation class for global basis polynomials |
| SharedPecosApproxData | Derived approximation class for global basis polynomials |
| SharedResponseDataRep | The representation of a SharedResponseData instance. This representation, or body, may be shared by multiple SharedResponseData handle instances |
| SharedResponseData | Container class encapsulating variables data that can be shared among a set of Response instances |
| SharedSurfpackApproxData | Derived approximation class for Surfpack approximation classes. Interface between Surfpack and Dakota |
| SharedVariablesDataRep | The representation of a SharedVariablesData instance. This representation, or body, may be shared by multiple SharedVariablesData handle instances |
| SharedVariablesData | Container class encapsulating variables data that can be shared among a set of Variables instances |
| SimulationModel | Derived model class which utilizes a simulation-based application interface to map variables into responses |
| SimulationResponse | Container class for response functions and their derivatives. SimulationResponse provides the body class |
| SNLLBase | Base class for OPT++ optimization and least squares methods |
| SNLLLeastSqTraits | A version of TraitsBase specialized for SNLLLeastSq |
| SNLLLeastSq | Wrapper class for the OPT++ optimization library |
| SNLLTraits | A version of TraitsBase specialized for SNLL optimizers |
| SNLLOptimizer | Wrapper class for the OPT++ optimization library |
| SOLBase | Base class for Stanford SOL software |
| SpawnApplicInterface | Derived application interface class which spawns simulation codes using spawnvp |
| SubspaceModel | Subspace model for input (variable space) reduction |
| SurfpackApproximation | Derived approximation class for Surfpack approximation classes. Interface between Surfpack and Dakota |
| SurrBasedGlobalTraits | The global surrogate-based minimizer which sequentially minimizes and updates a global surrogate model without trust region controls |
| SurrBasedGlobalMinimizer | |
| SurrBasedLocalMinimizer | Class for provably-convergent local surrogate-based optimization and nonlinear least squares |
| SurrBasedMinimizer | Base class for local/global surrogate-based optimization/least squares |
| SurrogateModel | Base class for surrogate models (DataFitSurrModel and HierarchSurrModel) |
| SysCallApplicInterface | Derived application interface class which spawns simulation codes using system calls |
| TANA3Approximation | Derived approximation class for TANA-3 two-point exponential approximation (a multipoint approximation) |
| TaylorApproximation | Derived approximation class for first- or second-order Taylor series (a local approximation) |
| TestDriverInterface | |
| TrackerHTTP | TrackerHTTP: a usage tracking module that uses HTTP/HTTPS via the curl library |
| Server | Struct to hold tracker/proxy pairs |
| UsageTracker | Lightweight class to manage conditionally active Curl-based HTTP tracker via PIMPL |
| VPSApproximation | Derived approximation class for VPS implementation |
| WeightingModel | Weighting specialization of RecastModel |
| MatchesWC | Predicate that returns true when the passed path matches the wild_card with which it was configured. Currently supports * and ? |
| WorkdirHelper | |
| SIM | A sample namespace for derived classes that use assign_rep() to plug facilities into DAKOTA |
| ParallelDirectApplicInterface | Sample derived interface class for testing parallel simulator plug-ins using assign_rep() |
| SerialDirectApplicInterface | Sample derived interface class for testing serial simulator plug-ins using assign_rep() |
| StanfordPSAAP | A sample namespace for derived classes that use assign_rep() to plug facilities into DAKOTA |
| SoleilDirectApplicInterface | Sample derived interface class for testing serial simulator plug-ins using assign_rep() |
| callback_data | |
| PyPolyReg | Extend PolynomialRegression with a new type for Python |
1.8.4
