It was intended to create an efficient way to solve linear programming problems and remains the most common way to solve standard maximization problems. The formula allows an individual to reach a goal that includes constraints. It’s also used to find a set of real positive numbers that satisfy the linear inequalities in the problem, maximizing the linear function. In addition, the algorithm can determine if there is no solution to the problem.