Module ad

Expand description

Automatic differentiation with respect to model parameters.

Structs§

BinaryDataset: Binary-mixture dataset: shared data storage plus a property tag.
BoilingTemperature: Boiling temperature of a pure component as function of pressure.
BubblePointPressure: Bubble point pressure of a binary mixture as function of temperature and molefracs of the first component.
BubblePointRecord: The pressure column doubles as the initial guess passed to the VLE solver.
DewPointPressure: Dew point pressure of a binary mixture as function of temperature and molefracs of the first component.
DewPointRecord: The pressure column doubles as the initial guess passed to the VLE solver.
EnthalpyOfVaporization: Enthalpy of vaporization of a pure component as function of temperature.
EnthalpyOfVaporizationRecord
EquilibriumLiquidDensity: Equilibrium liquid density of a pure component as function of temperature.
EquilibriumLiquidDensityRecord
LiquidDensity: Liquid density of a pure component as function of temperature and pressure.
LiquidDensityRecord
PureDataset: Pure-component dataset: shared data storage plus a property tag.
ResidualIsobaricHeatCapacity: Liquid residual isobaric heat capacity of a pure component as function of temperature and pressure.
ResidualIsobaricHeatCapacityRecord
VaporPressure: Vapor pressure of a pure component as function of temperature.
VaporPressureRecord

GRADIENT_SLOTS: Compile-time gradient slot supported by DatasetAD::evaluate_ad.

Dataset: Dataset that can be evaluated by an equation of state.
DatasetAD: Dataset that supports parameter-gradient evaluation for equations of state implementing ParametersAD<N>.
DatasetRecord: A record that can be collected into a dataset.
ParametersAD: A model that can be evaluated with derivatives of its parameters.
PropertyAD: Properties that can be rapidly evaluated in parallel together with their gradients with respect to model parameters