You are given an integer array coins representing coins of different denominations and an integer amount representing a total amount of money.
Return 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.
You may assume that you have an infinite number of each kind of coin.
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
Example 3:
Input: coins = [1], amount = 0 Output: 0
Constraints:
1 <= coins.length <= 121 <= coins[i] <= 231 - 10 <= amount <= 104
ChatGPT's Solution:
class Solution: def coinChange(self, coins: List[int], amount: int) -> int: # Initialize the DP array with amount+1, which is an impossible high value dp = [amount + 1] * (amount + 1) dp[0] = 0 # base case: 0 coins needed to make amount 0 for coin in coins: for x in range(coin, amount + 1): dp[x] = min(dp[x], dp[x - coin] + 1) return dp[amount] if dp[amount] != amount + 1 else -1

Explanation:
-
We use a dynamic programming array
dpwheredp[i]stores the minimum number of coins needed for amounti. -
For each coin, we update the
dparray from that coin value up to the targetamount. -
If after processing all coins,
dp[amount]is stillamount + 1, it means it's not possible to make up that amount.

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