Greedy algorithms are used for optimization problems in which a sequence of choices must be made. Rather than considering all possible choices, a greedy algorithm selects what appears to be the best option at each step. This approach can provide a simpler and more efficient solution than dynamic programming for certain problems. The goal is to make the locally optimal choice while working toward an overall solution (Cormen et al., 2009).

A Greedy Algorithm always makes the choice that looks best at that moment when you consider applications that, for example, try to maximize the amount of work completed within a given amount of time. While it may seem counterintuitive, as we would think to minimize the time needed to accomplish something, we may instead maximize the result achieved within a specific amount of time, depending on the goal of the problem.