What is a redundant constraint?

A redundant constraint is defined as a constraint that does not affect the feasible region of a linear programming problem, which is indeed what makes the selection accurate. When a constraint is considered redundant, it typically means that the feasible set of solutions remains unchanged whether or not this constraint is included in the problem formulation. This could happen if the constraint is less restrictive than other existing constraints, or if it simply reiterates a restriction that is already imposed by another constraint.

For example, if one constraint limits a variable to a value less than or equal to 10, and another constraint limits the same variable to be less than or equal to 15, then the constraint limiting it to 15 would be redundant since the more restrictive constraint is already in place.

The concept of redundant constraints is important in optimization because they can add complexity to a problem without providing any additional value in terms of defining the feasible region, potentially making the problem more difficult to solve without affecting the optimal solution.