1 Dynamic programming
The actual state transition equation is as follows:
dp[状态i] = min(1 + dp[状态i - 选择1], 1 + dp[状态i - 选择2], 1 + dp[状态i - 选择3],....);
Among them, how do we find the minimum of multiple elements? Is it the following
int maxNum = INT_MAX;
for (int i = 0; i < size; i++)
maxNum = min(maxNum, num[i]);
So there is the mainstream expression of the state transition equation in the program
dp[状态i] = min(dp[状态i], 选择j);
The complete code is as follows
class Solution {
public:
int coinChange(vector<int>& coins, int amount) {
vector<int> dp(amount + 1, INT_MAX);
// 1.base case
dp[0] = 0;
// 2.状态
for (int i = 1; i <= amount; i++)
// 3.选择
for (auto& coin : coins) {
if (i - coin < 0 || dp[i - coin] == INT_MAX) continue; // 因为不能有INT_MAX + 1
// 4.状态转移
dp[i] = min(dp[i], 1 + dp[i - coin]);
}
return (dp[amount] == INT_MAX) ? -1 : dp[amount];
}
};