Use payoff , so maximization of is equivalent to the required minimization. In the given simplex tableau, can increase the payoff. The simplex ratio test has candidate ratios in the row and in the row; the negative coefficient in the row imposes no upper bound. Thus enters the simplex basis and leaves.
Divide the pivot row by , then eliminate from the other rows. The resulting simplex dictionary is
All slack variables and original variables are nonnegative. The last row therefore proves for every feasible point; setting the nonbasic variables to zero attains it and leaves all basic variables nonnegative. Hence
The slack vector is .

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