Linear programming involves analyzing inequalities to optimize outcomes within constraints.
Linear programming is the mathematical process of analyzing a system of inequalities to make the best decisions given the constraints of the situation. It involves maximizing or minimizing a linear function over a convex polyhedron specified by linear and non-negativity constraints.
One important concept in linear programming is the feasible region, which represents the set of all possible solutions that satisfy the system of inequalities. The process of linear programming helps in optimizing outcomes, such as maximizing profit or minimizing cost, in a given mathematical model.
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