fp_converged

(function from pyomo.contrib.mindtpy.util)

pyomo.contrib.mindtpy.util.fp_converged(working_model, mip_model, proj_zero_tolerance, discrete_only=True)[source]

Calculates the euclidean norm between the discrete variables in the MIP and NLP models.

Parameters:

  • working_model (Pyomo model) – The working model(original model).

  • mip_model (Pyomo model) – The mip model.

  • proj_zero_tolerance (Float) – The projection zero tolerance of Feasibility Pump.

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

Returns:

distance – The euclidean norm between the discrete variables in the MIP and NLP models.

Return type:

float