leetcode - 1155. Number of Dice Rolls With Target Sum

Description

You have n dice, and each die has k faces numbered from 1 to k.

Given three integers n, k, and target, return the number of possible ways (out of the kn total ways) to roll the dice, so the sum of the face-up numbers equals target. Since the answer may be too large, return it modulo 10^9 + 7.

Example 1:

复制代码
Input: n = 1, k = 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:

复制代码
Input: n = 2, k = 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:

复制代码
Input: n = 30, k = 30, target = 500
Output: 222616187
Explanation: The answer must be returned modulo 109 + 7.

Constraints:

复制代码
1 <= n, k <= 30
1 <= target <= 1000

Solution

Recursive + memorization

The dp transformation equation is:
d p n t a r g e t = ∑ i = 1 k d p n − 1 t a r g e t − i dpntarget = \sum_{i=1}^{k}dpn-1target-i dpntarget=i=1∑kdpn−1target−i

So we could do recursive and memorization or dp.

Time complexity: o ( n ∗ t a r g e t ∗ k ) o(n*target*k) o(n∗target∗k)

Space complexity: o ( n ∗ t a r g e t ) o(n*target) o(n∗target)

DP

Feels top-bottom (recursive + memo) is easier to implement than bottom-top (dp here)

Code

Recursive + memorization

python3 复制代码
class Solution:
    def numRollsToTarget(self, n: int, k: int, target: int) -> int:
        def helper(n: int, target: int) -> int:
            if (n, target) in memo:
                return memo[(n, target)]
            if n == 1:
                if 0 < target <= k:
                    memo[(n, target)] = 1
                else:
                    memo[(n, target)] = 0
                return memo[(n, target)]
            res = 0
            for i in range(1, k + 1):
                res += helper(n - 1, target - i)
                res %= mod_val
            memo[(n, target)] = res
            return memo[(n, target)]
        mod_val = 1000000007
        memo = {}
        return helper(n, target)

DP

python3 复制代码
class Solution:
    def numRollsToTarget(self, n: int, k: int, target: int) -> int:
        mod_val = 1000000007
        dp = [[0] * (target + 1) for _ in range(n + 1)]
        # init
        for pseudo_target in range(1, min(target + 1, k + 1)):
            dp[1][pseudo_target] = 1
        for pseudo_n in range(2, n + 1):
            for pseudo_t in range(1, target + 1):
                for i in range(1, k + 1):
                    if pseudo_t - i >= 0:
                        dp[pseudo_n][pseudo_t] += dp[pseudo_n - 1][pseudo_t - i]
                dp[pseudo_n][pseudo_t] %= mod_val
        return dp[-1][-1]
相关推荐
气泡音人声分离31 分钟前
技术解析|均衡器(EQ)工作原理与实操指南:从频率拆分到听感优化
算法·均衡器·音频剪辑
weixin_4130632141 分钟前
复现 MatchED 边缘检测模型(单张图片重复8次,训练200 epoch)
python·算法·计算机视觉·边缘检测模型
2601_9624408444 分钟前
计算机毕业设计之jsp教室管理系统
java·开发语言·笔记·分布式·算法·课程设计·推荐算法
AI视频剪辑官1 小时前
播客切片工具选型核心评价维度
网络·人工智能·算法
复杂网络3 小时前
AI 不睡觉,但它比你更会做实验
算法
贵慜_Derek4 小时前
MAI-04|干净数据在工程上意味着什么:MAI 预训练数据治理
人工智能·算法·llm
想吃火锅10055 小时前
【leetcode】146.LRU缓存js
算法·leetcode·缓存
vibecoding日记1 天前
双非如何快速入职字节等大厂大模型?真实案例分析:推理优化和投机解码
算法·求职·大模型工程师