Binding constraints are the restrictions in a linear programming problem that actively limit the feasible region of solutions and directly affect the optimal solution. When a constraint is binding, it means that the solution to the optimization problem lies exactly on the boundary of this constraint, indicating that if it were relaxed, the optimal solution could change. These constraints are crucial for understanding the geometric representation of linear programming problems as they define the vertices of the feasible region.
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