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1155. 掷骰子等于目标和的方法数

题目描述

这里有 n 个一样的骰子,每个骰子上都有 k 个面,分别标号为 1 到 k

给定三个整数 nktarget,请返回投掷骰子的所有可能得到的结果(共有 kn 种方式),使得骰子面朝上的数字总和等于 target

由于答案可能很大,你需要对 109 + 7 取模

 

示例 1:

输入:n = 1, k = 6, target = 3
输出:1
解释:你掷了一个有 6 个面的骰子。
得到总和为 3 的结果的方式只有一种。

示例 2:

输入:n = 2, k = 6, target = 7
输出:6
解释:你掷了两个骰子,每个骰子有 6 个面。
有 6 种方式得到总和为 7 的结果: 1+6, 2+5, 3+4, 4+3, 5+2, 6+1。

示例 3:

输入:n = 30, k = 30, target = 500
输出:222616187
解释:返回的结果必须对 109 + 7 取模。

 

提示:

  • 1 <= n, k <= 30
  • 1 <= target <= 1000

解法

方法一:动态规划

我们定义 $f[i][j]$ 表示使用 $i$ 个骰子,和为 $j$ 的方案数。那么我们可以得到状态转移方程:

$$ f[i][j] = \sum_{h=1}^{\min(j, k)} f[i-1][j-h] $$

其中 $h$ 表示第 $i$ 个骰子的点数。

初始时 $f[0][0] = 1$,最终的答案即为 $f[n][target]$。

时间复杂度 $O(n \times k \times target)$,空间复杂度 $O(n \times target)$。

我们注意到,状态 $f[i][j]$ 只和 $f[i-1][]$ 有关,因此我们可以使用滚动数组的方式,将空间复杂度优化到 $O(target)$。

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class Solution:
    def numRollsToTarget(self, n: int, k: int, target: int) -> int:
        f = [[0] * (target + 1) for _ in range(n + 1)]
        f[0][0] = 1
        mod = 10**9 + 7
        for i in range(1, n + 1):
            for j in range(1, min(i * k, target) + 1):
                for h in range(1, min(j, k) + 1):
                    f[i][j] = (f[i][j] + f[i - 1][j - h]) % mod
        return f[n][target]
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class Solution {
    public int numRollsToTarget(int n, int k, int target) {
        final int mod = (int) 1e9 + 7;
        int[][] f = new int[n + 1][target + 1];
        f[0][0] = 1;
        for (int i = 1; i <= n; ++i) {
            for (int j = 1; j <= Math.min(target, i * k); ++j) {
                for (int h = 1; h <= Math.min(j, k); ++h) {
                    f[i][j] = (f[i][j] + f[i - 1][j - h]) % mod;
                }
            }
        }
        return f[n][target];
    }
}
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class Solution {
public:
    int numRollsToTarget(int n, int k, int target) {
        const int mod = 1e9 + 7;
        int f[n + 1][target + 1];
        memset(f, 0, sizeof f);
        f[0][0] = 1;
        for (int i = 1; i <= n; ++i) {
            for (int j = 1; j <= min(target, i * k); ++j) {
                for (int h = 1; h <= min(j, k); ++h) {
                    f[i][j] = (f[i][j] + f[i - 1][j - h]) % mod;
                }
            }
        }
        return f[n][target];
    }
};
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func numRollsToTarget(n int, k int, target int) int {
    const mod int = 1e9 + 7
    f := make([][]int, n+1)
    for i := range f {
        f[i] = make([]int, target+1)
    }
    f[0][0] = 1
    for i := 1; i <= n; i++ {
        for j := 1; j <= min(target, i*k); j++ {
            for h := 1; h <= min(j, k); h++ {
                f[i][j] = (f[i][j] + f[i-1][j-h]) % mod
            }
        }
    }
    return f[n][target]
}
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function numRollsToTarget(n: number, k: number, target: number): number {
    const f = Array.from({ length: n + 1 }, () => Array(target + 1).fill(0));
    f[0][0] = 1;
    const mod = 1e9 + 7;
    for (let i = 1; i <= n; ++i) {
        for (let j = 1; j <= Math.min(i * k, target); ++j) {
            for (let h = 1; h <= Math.min(j, k); ++h) {
                f[i][j] = (f[i][j] + f[i - 1][j - h]) % mod;
            }
        }
    }
    return f[n][target];
}
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impl Solution {
    pub fn num_rolls_to_target(n: i32, k: i32, target: i32) -> i32 {
        let _mod = 1_000_000_007;
        let n = n as usize;
        let k = k as usize;
        let target = target as usize;
        let mut f = vec![vec![0; target + 1]; n + 1];
        f[0][0] = 1;

        for i in 1..=n {
            for j in 1..=target.min(i * k) {
                for h in 1..=j.min(k) {
                    f[i][j] = (f[i][j] + f[i - 1][j - h]) % _mod;
                }
            }
        }

        f[n][target]
    }
}

方法二

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class Solution:
    def numRollsToTarget(self, n: int, k: int, target: int) -> int:
        f = [1] + [0] * target
        mod = 10**9 + 7
        for i in range(1, n + 1):
            g = [0] * (target + 1)
            for j in range(1, min(i * k, target) + 1):
                for h in range(1, min(j, k) + 1):
                    g[j] = (g[j] + f[j - h]) % mod
            f = g
        return f[target]
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class Solution {
    public int numRollsToTarget(int n, int k, int target) {
        final int mod = (int) 1e9 + 7;
        int[] f = new int[target + 1];
        f[0] = 1;
        for (int i = 1; i <= n; ++i) {
            int[] g = new int[target + 1];
            for (int j = 1; j <= Math.min(target, i * k); ++j) {
                for (int h = 1; h <= Math.min(j, k); ++h) {
                    g[j] = (g[j] + f[j - h]) % mod;
                }
            }
            f = g;
        }
        return f[target];
    }
}
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class Solution {
public:
    int numRollsToTarget(int n, int k, int target) {
        const int mod = 1e9 + 7;
        vector<int> f(target + 1);
        f[0] = 1;
        for (int i = 1; i <= n; ++i) {
            vector<int> g(target + 1);
            for (int j = 1; j <= min(target, i * k); ++j) {
                for (int h = 1; h <= min(j, k); ++h) {
                    g[j] = (g[j] + f[j - h]) % mod;
                }
            }
            f = move(g);
        }
        return f[target];
    }
};
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func numRollsToTarget(n int, k int, target int) int {
    const mod int = 1e9 + 7
    f := make([]int, target+1)
    f[0] = 1
    for i := 1; i <= n; i++ {
        g := make([]int, target+1)
        for j := 1; j <= min(target, i*k); j++ {
            for h := 1; h <= min(j, k); h++ {
                g[j] = (g[j] + f[j-h]) % mod
            }
        }
        f = g
    }
    return f[target]
}
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function numRollsToTarget(n: number, k: number, target: number): number {
    const f = Array(target + 1).fill(0);
    f[0] = 1;
    const mod = 1e9 + 7;
    for (let i = 1; i <= n; ++i) {
        const g = Array(target + 1).fill(0);
        for (let j = 1; j <= Math.min(i * k, target); ++j) {
            for (let h = 1; h <= Math.min(j, k); ++h) {
                g[j] = (g[j] + f[j - h]) % mod;
            }
        }
        f.splice(0, target + 1, ...g);
    }
    return f[target];
}
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impl Solution {
    pub fn num_rolls_to_target(n: i32, k: i32, target: i32) -> i32 {
        let _mod = 1_000_000_007;
        let n = n as usize;
        let k = k as usize;
        let target = target as usize;
        let mut f = vec![0; target + 1];
        f[0] = 1;

        for i in 1..=n {
            let mut g = vec![0; target + 1];
            for j in 1..=target {
                for h in 1..=j.min(k) {
                    g[j] = (g[j] + f[j - h]) % _mod;
                }
            }
            f = g;
        }

        f[target]
    }
}

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