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 <= 12
1 <= coins[i] <= 231 - 1
0 <= amount <= 104
Dynamic programming.
Similar to the idea of a complete backpack, there is no limit to the number of coins. Find the minimum number of coins required to make up the total amount.
class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
m, n = len(coins), amount
dp = [[n + 1] * (n + 1) for _ in range(m + 1)]
dp[0][0] = 0
for i in range(1, m + 1):
for j in range(n + 1):
dp[i][j] = dp[i - 1][j]
if j >= coins[i - 1]:
dp[i][j] = min(dp[i][j], dp[i][j - coins[i - 1]] + 1)
return -1 if dp[-1][-1] > n else dp[-1][-1]
class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
dp = [amount + 1] * (amount + 1)
dp[0] = 0
for coin in coins:
for j in range(coin, amount + 1):
dp[j] = min(dp[j], dp[j - coin] + 1)
return -1 if dp[-1] > amount else dp[-1]
class Solution {
public int coinChange(int[] coins, int amount) {
int m = coins.length;
int[][] dp = new int[m + 1][amount + 1];
for (int i = 0; i <= m; ++i) {
Arrays.fill(dp[i], amount + 1);
}
dp[0][0] = 0;
for (int i = 1; i <= m; ++i) {
int v = coins[i - 1];
for (int j = 0; j <= amount; ++j) {
dp[i][j] = dp[i - 1][j];
if (j >= v) {
dp[i][j] = Math.min(dp[i][j], dp[i][j - v] + 1);
}
}
}
return dp[m][amount] > amount ? - 1 : dp[m][amount];
}
}
class Solution {
public int coinChange(int[] coins, int amount) {
int[] dp = new int[amount + 1];
Arrays.fill(dp, amount + 1);
dp[0] = 0;
for (int coin : coins) {
for (int j = coin; j <= amount; j++) {
dp[j] = Math.min(dp[j], dp[j - coin] + 1);
}
}
return dp[amount] > amount ? -1 : dp[amount];
}
}
/**
* @param {number[]} coins
* @param {number} amount
* @return {number}
*/
var coinChange = function (coins, amount) {
let dp = Array(amount + 1).fill(amount + 1);
dp[0] = 0;
for (const coin of coins) {
for (let j = coin; j <= amount; ++j) {
dp[j] = Math.min(dp[j], dp[j - coin] + 1);
}
}
return dp[amount] > amount ? -1 : dp[amount];
};
class Solution {
public:
int coinChange(vector<int>& coins, int amount) {
vector<int> dp(amount + 1, amount + 1);
dp[0] = 0;
for (auto& coin : coins)
for (int j = coin; j <= amount; ++j)
dp[j] = min(dp[j], dp[j - coin] + 1);
return dp[amount] > amount ? -1 : dp[amount];
}
};
func coinChange(coins []int, amount int) int {
dp := make([]int, amount+1)
for i := 1; i <= amount; i++ {
dp[i] = amount + 1
}
for _, coin := range coins {
for j := coin; j <= amount; j++ {
dp[j] = min(dp[j], dp[j-coin]+1)
}
}
if dp[amount] > amount {
return -1
}
return dp[amount]
}
func min(a, b int) int {
if a < b {
return a
}
return b
}
function coinChange(coins: number[], amount: number): number {
let dp = new Array(amount + 1).fill(amount + 1);
dp[0] = 0;
for (const coin of coins) {
for (let j = coin; j <= amount; ++j) {
dp[j] = Math.min(dp[j], dp[j - coin] + 1);
}
}
return dp[amount] > amount ? -1 : dp[amount];
}
impl Solution {
pub fn coin_change(coins: Vec<i32>, amount: i32) -> i32 {
let n = coins.len();
let amount = amount as usize;
let mut dp = vec![amount + 1; amount + 1];
dp[0] = 0;
for i in 1..=amount {
for j in 0..n {
let coin = coins[j] as usize;
if coin <= i {
dp[i] = dp[i].min(dp[i - coin] + 1);
}
}
}
if dp[amount] > amount {
-1
} else {
dp[amount] as i32
}
}
}