Any solution that complies with all of the limitations imposed by the equality and inequality requirements is considered practical in the context of linear programming problems. While a feasible solution satisfies the requirements of the problem, it may not be the ideal one. On the other hand, an optimal solution is a particular workable solution that, depending on the problem's purpose, produces the most beneficial value for the objective function, which may be a maximum or minimum. Basically, an optimal solution is one that maximizes the goal function and remains feasible, whereas a feasible solution can exist anywhere within the specified restrictions.