Negativity Constraints

Negativity constraints are rules in mathematical models that restrict certain values to be less than or equal to zero. They are used in optimization problems to ensure solutions stay within realistic or desired limits. For example, if a model assigns a negative value to a variable representing profit, the negativity constraint would prevent that, maintaining all variables or outcomes in permissible ranges. These constraints help control the behavior of models, ensuring they produce feasible, accurate, and meaningful results consistent with real-world conditions.