Which term refers to the best feasible solution in a limited region?

The term that refers to the best feasible solution within a limited region is known as a "Global optimum." This concept is key in optimization problems, where the goal is to find the best possible solution out of all feasible solutions within a defined space. The global optimum represents the highest value of the objective function that satisfies all the constraints in the problem.

When working with linear programming, a global optimum is sought because it yields the best possible outcome, whether it is maximizing profit or minimizing costs, across the entire feasible set defined by the constraints. Unlike local optima, which only represent the best solutions within a localized area of the solution space, the global optimum is superior as it encompasses the fortitude of the entire feasible space.

Understanding this distinction is crucial, as finding a global optimum ensures that no better solution exists elsewhere in the feasible region, making it the ideal solution in optimization contexts.