`scipy.optimize._linprog_util:_check_result`

source: /scipy/optimize/_linprog_util.py :1418

Signature

   def     _check_result (    x    ,    fun    ,    status    ,    slack    ,    con    ,    bounds    ,    tol    ,    message    ,    integrality      )

Summary

Check the validity of the provided solution.

Extended Summary

A valid (optimal) solution satisfies all bounds, all slack variables are negative and all equality constraint residuals are strictly non-zero. Further, the lower-bounds, upper-bounds, slack and residuals contain no nan values.

Parameters

x : 1-D array

Solution vector to original linear programming problem

fun: float

optimal objective value for original problem

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

slack : 1-D array

The (non-negative) slack in the upper bound constraints, that is, b_ub - A_ub @ x

con : 1-D array

The (nominally zero) residuals of the equality constraints, that is, b - A_eq @ x

bounds : 2D array

The bounds on the original variables x

message : str

A string descriptor of the exit status of the optimization.

tol : float

Termination tolerance; see ^[1] Section 4.5.

Returns

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

message : str

A string descriptor of the exit status of the optimization.

Aliases

scipy.optimize._linprog._check_result