The conversation between human and AI assistant.
What are the differences between dynamic programming and greedy?
Can you explain the differences between dynamic programming and greedy algorithms?
Sure, dynamic programming is a method for solving complex problems by breaking them down into smaller subproblems and solving each of those subproblems just once. It's typically used when there's a lot of overlap between subproblems. On the other hand, greedy algorithms make the locally optimal choice at each step with the hope of finding a global optimum.