Model

The Model class represent a LP problem or an ILP problem in tableau form.

A Model is created in the following way:

model = Model(tableau, basic_var, integer)

Parameters

• tableau: a numpy array representing the tableau on which perform the operations
• basic_var: a python list containing integer values corresponing to the initial basic variables
• integer: a boolean value for integer solution (0 for LP, 1 for ILP)

Attributes

• tableau: numpy array corresponding to the current tableau associated with the model
• basic_var: python list representing the current indexes of the basic variables
• integer: boolean value which tell if the model is LP or ILP
• solution: python list representing the solution associated with the tableau, if exists
• z: integer value that is the optimal value, if exists
• optimal: boolean value, true if the tableau is in optimal form, false otherwise
• unbounded: boolean value, true if the problem associated is unbounded, false at the beginning
• infeasible: boolean value, true if the problem is infeasible, false otherwise