get_effective_var_partitioning
(function from pyomo.contrib.pyros.util)
- pyomo.contrib.pyros.util.get_effective_var_partitioning(model_data)[source]
Partition the in-scope variables of the input model according to known nonadjustability to the uncertain parameters. The result is referred to as the “effective” variable partitioning.
In addition to the first-stage variables, some of the variables considered second-stage variables or state variables according to the user-provided variable partitioning may be nonadjustable. This method analyzes the decision rule order, fixed variables, and, through an iterative pretriangularization method, the equality constraints, to identify nonadjustable variables.
- Parameters:
model_data (model data object) – Main model data object.
- Returns:
effective_partitioning – Effective variable partitioning.
- Return type: