Objective Function Coefficient Classifier (Values)
This classifier adds variables \(x_i\) to classes according to the value of their respective coefficient \(c_i\) in the objective function.
Classification
Dantzig-Wolfe and Benders Decomposition
In both modes, the handling is as follows:
- For each \(x_i\), the respective \(c_i\) is determined.
- If the representative class for \(c_i\) exists, \(x_i\) is added to this class.
- If it doesn't exist, the class for \(c_i\) is created and \(x_i\) is added to this class.