---
description: https://leetcode.com/problems/minimum-difficulty-of-a-job-schedule/
---

# 1335. Minimum Difficulty of a Job Schedule

You want to schedule a list of jobs in `d` days. Jobs are dependent (i.e To work on the `i-th` job, you have to finish all the jobs `j` where `0 <= j < i`).

You have to finish **at least** one task every day. The difficulty of a job schedule is the sum of difficulties of each day of the `d` days. The difficulty of a day is the maximum difficulty of a job done in that day.

Given an array of integers `jobDifficulty` and an integer `d`. The difficulty of the `i-th` job is `jobDifficulty[i]`.

Return _the minimum difficulty_ of a job schedule. If you cannot find a schedule for the jobs return **-1**.

**Example 1:**![](https://assets.leetcode.com/uploads/2020/01/16/untitled.png)

```
Input: jobDifficulty = [6,5,4,3,2,1], d = 2
Output: 7
Explanation: First day you can finish the first 5 jobs, total difficulty = 6.
Second day you can finish the last job, total difficulty = 1.
The difficulty of the schedule = 6 + 1 = 7 
```

**Example 2:**

```
Input: jobDifficulty = [9,9,9], d = 4
Output: -1
Explanation: If you finish a job per day you will still have a free day. you cannot find a schedule for the given jobs.
```

**Example 3:**

```
Input: jobDifficulty = [1,1,1], d = 3
Output: 3
Explanation: The schedule is one job per day. total difficulty will be 3.
```

**Example 4:**

```
Input: jobDifficulty = [7,1,7,1,7,1], d = 3
Output: 15
```

**Example 5:**

```
Input: jobDifficulty = [11,111,22,222,33,333,44,444], d = 6
Output: 843
```

**Constraints:**

* `1 <= jobDifficulty.length <= 300`
* `0 <= jobDifficulty[i] <= 1000`
* `1 <= d <= 10`

N个工作，每个工作有难度值，让按序把它们安排在d天内且每天都必须安排工作，每天工作量按照工作难度值最大的算，整体工作量为把每天的工作量加起来，问满足以上条件后能安排的最少整体工作量是多少。因为要求按序安排工作，对于前i天和前j个工作，第j个工作必须安排在第i天，action为它和前面哪些工作组在一起分配到第i天，所以本质是个划分问题。遍历k，范围\[i, j]因为前面i天每天都要有工作，i之前的不能分配到第i天。dp\[i]\[j] 为前i天安排j个工作的最小整体工作量，等于min(dp\[i]\[j], dp\[i - 1]\[k - 1] + max(job\[k, j])。

参考自[这](https://link.zhihu.com/?target=https%3A//leetcode.com/problems/minimum-difficulty-of-a-job-schedule/discuss/490297/Java-Bottom-Up-DP)。

```cpp
class Solution {
public:
    int minDifficulty(vector<int>& jobDifficulty, int d) {
        const int N = jobDifficulty.size();
        if (N < d) return -1; 
        vector<vector<int>> dp(d, vector<int>(N, 0));
        dp[0][0] = jobDifficulty[0];
        for (int j = 1; j < N; ++j) dp[0][j] = max(jobDifficulty[j], dp[0][j - 1]);
        for (int i = 1; i < d; ++i) {
            for (int j = i; j < N; ++j) {
                dp[i][j] = INT_MAX;
                for (int k = j, local_max = 0; k >= i; --k) {
                    local_max = max(local_max, jobDifficulty[k]);
                    dp[i][j] = min(dp[i][j], dp[i - 1][k - 1] + local_max);
                }
            }
        }
        return dp[d - 1][N - 1];
    }
};
```
