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Java-based LeetCode algorithm problem solutions, regularly updated

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1235\. Maximum Profit in Job Scheduling

Hard

We have `n` jobs, where every job is scheduled to be done from `startTime[i]` to `endTime[i]`, obtaining a profit of `profit[i]`.

You're given the `startTime`, `endTime` and `profit` arrays, return the maximum profit you can take such that there are no two jobs in the subset with overlapping time range.

If you choose a job that ends at time `X` you will be able to start another job that starts at time `X`.

**Example 1:**

**![](https://assets.leetcode.com/uploads/2019/10/10/sample1_1584.png)**

**Input:** startTime = [1,2,3,3], endTime = [3,4,5,6], profit = [50,10,40,70]

**Output:** 120

**Explanation:** The subset chosen is the first and fourth job. Time range [1-3]+[3-6] , we get profit of 120 = 50 + 70.

**Example 2:**

**![](https://assets.leetcode.com/uploads/2019/10/10/sample22_1584.png)**

**Input:** startTime = [1,2,3,4,6], endTime = [3,5,10,6,9], profit = [20,20,100,70,60]

**Output:** 150

**Explanation:** The subset chosen is the first, fourth and fifth job. Profit obtained 150 = 20 + 70 + 60.

**Example 3:**

**![](https://assets.leetcode.com/uploads/2019/10/10/sample3_1584.png)**

**Input:** startTime = [1,1,1], endTime = [2,3,4], profit = [5,6,4]

**Output:** 6

**Constraints:**

*   1 <= startTime.length == endTime.length == profit.length <= 5 * 10⁴
*   1 <= startTime[i] < endTime[i] <= 10⁹
*   1 <= profit[i] <= 10⁴