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    Exam 2: Linear Programming: Model Formulation and Graphical Solution
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    Without Satisfying the Non-Negativity Constraint, a Solution That Satisfies All
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Without Satisfying the Non-Negativity Constraint, a Solution That Satisfies All

Question 116

Question 116

Multiple Choice

Without satisfying the non-negativity constraint, a solution that satisfies all the other constraints of a linear programming problem is called


A) feasible.
B) infeasible.
C) semi-feasible.
D) optimal.

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