A nonnegativity constraint should never be applied to a linear programming optimization problem.

Question

Quizplus · Accepted Answer

A nonnegativity constraint is commonly used in linear programming problems to ensure that the decision variables are nonnegative. For example, in an optimization problem where the decision variable represents a quantity of a product, a nonnegativity constraint would ensure that the quantity produced is always greater than or equal to zero. Therefore, a nonnegativity constraint can and should be applied to a linear programming optimization problem.

A Nonnegativity Constraint Should Never Be Applied to a Linear