Non-negativity constraints are conditions in optimization problems that require certain variables to be greater than or equal to zero. This is particularly important in linear programming, where solutions often represent quantities that cannot be negative, like production levels or resource allocations. By enforcing these constraints, the solution space is limited to feasible solutions that make practical sense in real-world applications.
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