Leetcode322. Coin Change

本文探讨了硬币找零问题,即如何使用最少数量的硬币组合来构成特定金额。通过动态规划的方法,我们提供了一个44ms的解决方案,详细解释了算法的实现过程和核心思路。

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You are given coins of different denominations and a total amount of
money amount. Write a function to compute the fewest number of coins
that you need to make up that amount. If that amount of money cannot
be made up by any combination of the coins, return -1.

Example 1:

Input: coins = [1, 2, 5], amount = 11 Output: 3 Explanation: 11 = 5 +
5 + 1 Example 2:

Input: coins = [2], amount = 3 Output: -1

动态规划,44ms

class Solution {
public:
	int coinChange(vector<int>& coins, int amount) {
		int len = coins.size();
		if (amount == 0) {
			return 0;
		}
		if (len == 0 ) {
			return -1;
		}
		vector<int> dp(amount+1, INT_MAX);
		dp[0] = 0;
		for (int i = 1; i <= amount; ++i) {
			for (int coin : coins) {
				if (coin <= amount) {
					dp[coin] = 1;
				}
				if (i- coin >=0&&dp[i - coin] < dp[i]-1 ) {
					dp[i] = dp[i- coin] + 1;
				}
			}
		}
		return dp[amount] == INT_MAX ? -1: dp[amount];
	}
};
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