Greedy Algorithms


Greedy algorithms are a class of algorithms that make the locally optimal choice at each step with the hope of finding a global optimum. In other words, the algorithm selects the best option at each step without considering the future consequences. Greedy algorithms are often used in optimization problems, such as finding the shortest path in a graph or scheduling tasks to minimize completion time. While greedy algorithms are simple and efficient, they do not always guarantee the optimal solution. In some cases, a greedy algorithm may get stuck in a local optimum and fail to find the global optimum.


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