What defines a greedy algorithm?

A greedy algorithm is characterized by its approach of prioritizing immediate decisions that aim to achieve the best short-term outcome, without taking future consequences into account. This means that at each step in the problem-solving process, the algorithm makes the locally optimal choice with the hope of finding a global optimum.

This decision-making strategy is particularly effective in certain types of problems where making a series of locally optimal choices leads to a globally optimal solution. Common examples include algorithms for tasks like finding the minimum spanning tree in a graph or making change for a certain amount using the fewest coins.

While seeking immediate results can lead to efficient solutions in specific scenarios, it does not always guarantee a globally optimal solution for every problem, which highlights the limitations of this approach. Thus, the defining feature of a greedy algorithm is its focus on immediate benefits, aligning perfectly with the concept encapsulated in the selected answer.