generate_lag_objective_function

(function from pyomo.contrib.mindtpy.util)

pyomo.contrib.mindtpy.util.generate_lag_objective_function(model, setpoint_model, config, timing, discrete_only=False)[source]

The function generates the second-order Taylor approximation of the Lagrangean.

Parameters:

  • model (Pyomo model) – The model that needs new objective function.

  • setpoint_model (Pyomo model) – The model that provides the base point for us to calculate the distance.

  • config (ConfigBlock) – The specific configurations for MindtPy.

  • timing (Timing) – Timing

  • discrete_only (bool, optional) – Whether to only optimize on distance between the discrete variables, by default False.

Returns:

The taylor extension(1st order or 2nd order) of the Lagrangean function.

Return type:

Objective