scipy.optimize.linprog_verbose_callback¶

scipy.optimize.
linprog_verbose_callback
(res)[source]¶ A sample callback function demonstrating the linprog callback interface. This callback produces detailed output to sys.stdout before each iteration and after the final iteration of the simplex algorithm.
Parameters:  res : A
scipy.optimize.OptimizeResult
consisting of the following fields:  x : 1D array
The independent variable vector which optimizes the linear programming problem.
 fun : float
Value of the objective function.
 success : bool
True if the algorithm succeeded in finding an optimal solution.
 slack : 1D array
The values of the slack variables. Each slack variable corresponds to an inequality constraint. If the slack is zero, then the corresponding constraint is active.
 con : 1D array
The (nominally zero) residuals of the equality constraints, that is,
b  A_eq @ x
 phase : int
The phase of the optimization being executed. In phase 1 a basic feasible solution is sought and the T has an additional row representing an alternate objective function.
 status : int
An integer representing the exit status of the optimization:
0 : Optimization terminated successfully 1 : Iteration limit reached 2 : Problem appears to be infeasible 3 : Problem appears to be unbounded 4 : Serious numerical difficulties encountered
 nit : int
The number of iterations performed.
 message : str
A string descriptor of the exit status of the optimization.
 res : A