# 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.

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