LeetCode 1155. Number of Dice Rolls With Target Sum
You have d dice, and each die has f faces numbered 1, 2, ..., f.
Return the number of possible ways (out of fd total ways) modulo 10^9 + 7 to roll the dice so the sum of the face up numbers equals target.
Example 1:
Input: d = 1, f = 6, target = 3
Output: 1
Explanation:
You throw one die with 6 faces. There is only one way to get a sum of 3.
Example 2:
Input: d = 2, f = 6, target = 7
Output: 6
Explanation:
You throw two dice, each with 6 faces. There are 6 ways to get a sum of 7:
1+6, 2+5, 3+4, 4+3, 5+2, 6+1.
Example 3:
Input: d = 2, f = 5, target = 10
Output: 1
Explanation:
You throw two dice, each with 5 faces. There is only one way to get a sum of 10: 5+5.
Example 4:
Input: d = 1, f = 2, target = 3
Output: 0
Explanation:
You throw one die with 2 faces. There is no way to get a sum of 3.
Example 5:
Input: d = 30, f = 30, target = 500
Output: 222616187
Explanation:
The answer must be returned modulo 10^9 + 7.
Constraints:
1 <= d, f <= 301 <= target <= 1000
基本思路是使用动态规划,有n个骰子投出m点的可能数量为sum(n-1个骰子投出m-1的数量, n-1个骰子投出m-2的数量,..., n-1个骰子投出m-f的数量)。对于每一个d都要遍历一遍f个点,每一次遍历中要再遍历一次d-1时的f个点所以最佳时间复杂度应为O(df^2),在我的实现中因为不知道d-1时的可能点数的起始位置所以实际遍历了所有d*f个可能,实际复杂度为O(d^2f^2)。
class Solution {
int MOD = pow(10, 9) + 7;
public:
int numRollsToTarget(int d, int f, int target) {
if (target > d * f)
return 0;
vector<int> dp1(d * f + 1, 0), dp2(d * f + 1, 0);
for (int i = 1; i <= f; i++) {
dp1[i] = 1;
}
for (int i = 2; i <= d; i++) {
for (int j = 1; j < dp1.size(); j++) {
if (dp1[j] == 0)
continue;
for (int k = 1; k <= f; k++) {
dp2[k + j] += dp1[j] % MOD;
dp2[k + j] %= MOD;
}
}
swap(dp1, dp2);
dp2.assign(d * f + 1, 0);
}
return dp1[target];
}
};
评论