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Module « scipy.optimize »

Fonction linprog_verbose_callback - module scipy.optimize

Signature de la fonction linprog_verbose_callback

def linprog_verbose_callback(res) 

Description

help(scipy.optimize.linprog_verbose_callback)

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 : 1-D 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 : 1-D 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 : 1-D 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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