A "Global Maximum" refers to the highest point in a given set of data or a mathematical function. In optimization problems, it represents the best possible solution across all possible inputs. For example, in a graph, the global maximum is the peak value that is higher than all other points in the dataset. In contrast to a "Local Maximum," which is the highest point within a specific region, the global maximum is the absolute highest point overall. Identifying the global maximum is crucial in fields like mathematics, economics, and engineering, where finding optimal solutions is essential for decision-making and resource allocation.