CBSDProperties | This class is meant to compute the mean and variance of bubble/cell size distribution |
▼Cdict | |
►Cpython.Strategy.ParameterFittingStrategy | Base Class for creating parameter fitting strategies |
Cpython.Strategy.NonLinFitToPointWithSmallestError | Performs parameter fitting of a set of samples and returns the parameters that yield the smallest error |
Cpython.Strategy.NonLinFitWithErrorContol | Parameter fitting class, non-linear least squares regression |
▼CDictField | |
Cpython.SurrogateModel.IOP | |
▼CDocument | |
Cpython.SurrogateModel.IndexSet | |
▼CDynamicDocument | |
►Cpython.SurrogateModel.SurrogateFunction | |
►Cpython.SurrogateModel.CFunction | Class for defining Surrogate Functions where the executable code is a C- function |
Cpython.SurrogateModel.Function | |
►Cpython.SurrogateModel.SurrogateModel | |
Cpython.SurrogateModel.BackwardMappingModel | Class for defining 'backward mapping' models |
Cpython.SurrogateModel.ForwardMappingModel | Class for defining 'forward mapping' models |
▼CDynamicEmbeddedDocument | |
Cpython.SurrogateModel.EmbDoc | Class wrapper for DynamicEmbeddedDocument from MongeEngine |
▼CEmbeddedDocument | |
Cpython.SurrogateModel.MinMax | |
Cpython.SurrogateModel.MinMaxArgPos | |
Cpython.SurrogateModel.MinMaxArgPosOpt | |
Cpython.SurrogateModel.MinMaxOpt | |
Cpython.Strategy.ParameterFittingStrategy.errorFit | |
▼CException | |
Cpython.Strategy.ModifyWorkflow | |
Cpython.Strategy.OutOfBounds | |
Cpython.Strategy.ParametersNotValid | |
Cpython.Strategy.TerminateWorkflow | |
Cpython.SurrogateModel.ArgPosNotFound | |
▼Cexception | |
CModena::modenaException | |
Cfn1_params | Struct for passing paramaters to GSL function |
Cdagmg_mem::innerdata | |
▼Clist | |
Cpython.SurrogateModel.GrowingList | Class list that is automatically extended when index is out of range |
Cfmodena::modena_error | |
Cfmodena::modena_error_occurred | |
Cmodena_errordesc | |
Cmodena_function_t | |
Cmodena_index_set_t | |
Cfmodena::modena_inputs_destroy | |
Cfmodena::modena_inputs_new | |
Cfmodena::modena_inputs_set | |
Cmodena_inputs_t | |
Cfmodena::modena_model_argPos_check | |
Cfmodena::modena_model_call | |
Cfmodena::modena_model_destroy | |
Cfmodena::modena_model_inputs_argPos | |
Cfmodena::modena_model_new | |
Cfmodena::modena_model_outputs_argPos | |
Cmodena_model_t | Stores a surrogate model |
Cfmodena::modena_outputs_destroy | |
Cfmodena::modena_outputs_get | |
Cfmodena::modena_outputs_new | |
Cmodena_outputs_t | |
Cmodena_siunits_t | |
Cmodena_substitute_model_t | Stores a model and mapping for substitution |
CModena::modenaModel | |
▼CpsiThermo | |
CFoam::twoPhaseMixtureThermo | |
CFoam::twoPhaseMixtureThermo | |
CFoam::twoPhaseMixtureThermo | |
CFoam::twoPhaseMixtureThermo | |
▼Cpython.Strategy.SamplingStrategy | Base class for Sampling strategies (DoE) |
Cpython.Strategy.ExtendSpaceStochasticSampling | Class for extending the design space using stochastic sampling |
Cpython.Strategy.StochasticSampling | Design of experiments class, Monte Carlo sampling |
Cf90moduleinterfaces::snesgetapplicationcontext | |
Cf90moduleinterfaces::snessetapplicationcontext | |
▼CtwoPhaseMixture | |
CFoam::twoPhaseMixtureThermo | |
CFoam::twoPhaseMixtureThermo | |
CFoam::twoPhaseMixtureThermo | |
CFoam::twoPhaseMixtureThermo | |
Cpetscmanagement::userctx | |
▼CCFunction | |
CKinetics.PrediciKinetics.PrediciKinetics | |
▼Cdefaultdict | |
►Cpython.Strategy.ImproveErrorStrategy | Base class for strategies 'fixing' the error of a surrogate model |
Cpython.Strategy.StochasticSampling | Design of experiments class, Monte Carlo sampling |
►Cpython.Strategy.InitialisationStrategy | Parent class for the initialisation strategies |
Cpython.Strategy.EmptyInitialisationStrategy | Empty initialisation strategy, used by Forward Mapping Models |
Cpython.Strategy.InitialData | Class initialising a SurrogateModel given a dataset of input-output relations |
Cpython.Strategy.InitialPoints | Class for initialisation of a surrogate model by fitting it to user-specified points |
►Cpython.Strategy.OutOfBoundsStrategy | Parent class for the out of bounds strategies |
Cpython.Strategy.ExtendSpaceStochasticSampling | Class for extending the design space using stochastic sampling |
▼CFireTaskBase | |
Cpython.Strategy.InitialDataPoints | Pushes all "points" to the next firework |
Cpython.Strategy.Initialisation | A FireTask that performs the initialisation |
►Cpython.Strategy.ModenaFireTask | |
Cpython.Strategy.BackwardMappingScriptTask | A FireTask that starts a macroscopic code and catches its return code |
Cpython.Strategy.ParameterFitting | A FireTask that performs parameter fitting |
▼CFWSerializable | |
Cpython.Strategy.ImproveErrorStrategy | Base class for strategies 'fixing' the error of a surrogate model |
Cpython.Strategy.InitialisationStrategy | Parent class for the initialisation strategies |
Cpython.Strategy.OutOfBoundsStrategy | Parent class for the out of bounds strategies |
Cpython.Strategy.ParameterFittingStrategy | Base Class for creating parameter fitting strategies |
▼CModenaFireTask | |
CflowRate.flowRate.FlowRateExactSim | A FireTask that starts a microscopic code and updates the database |
CflowRate_idealGas.flowRate_idealGas.FlowRateExactSim | A FireTask that starts a microscopic code and updates the database |
CfoamConductivity.foamConductivity.FoamConductivityExactTask | Recipe for Foam conductivity application |
CFoamElasticModulus.ElasticModulus.MechanicalPropertiesExactSim | |
CPolymerDensity.PolymerDensity.DensityExactSim | A FireTask that starts a microscopic code and updates the database |
CRheology.Rheology.RheologyExactTask_dummy | A FireTask that starts a microscopic code and updates the database |
CRheology.Rheology.RheologyExactTask_tFEM | A FireTask that starts a microscopic code and updates the database |
CSolubility.Solubility.SolubilityExactSim | This FireTask controls the execution of the detailed model of the Solubility model |
CSurfaceTension.SurfaceTension.SurfaceTensionExactSim | Recipe for PCSAFT Surface Tension Application |
▼CScriptTask | |
Cpython.Strategy.BackwardMappingScriptTask | A FireTask that starts a macroscopic code and catches its return code |