Dynamic Programming pattern
Maximum Profit in Job Scheduling
Given jobs each with a start time, end time, and profit, choose a subset of non-overlapping jobs that maximizes total profit and return that maximum. Watch it run step by step, then write your own pseudocode and get it checked by AI.
- LeetCode 1235
- Hard
- 1 approach
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Dynamic ProgrammingLeetCode 1235
Hard
The approach
- 01 DP after sorting by end time O(n log n)O(n) space
What you will learn
- How to read Maximum Profit in Job Scheduling and spot the dynamic programming pattern in it
- DP after sorting by end time: O(n log n) time, O(n) space
- The pseudocode for each approach, its line lit as the animation runs
- Practice: write your own pseudocode and get it checked
More Dynamic Programming
See Maximum Profit in Job Scheduling run, step by step
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DSA comes with the all labs plan and every ChaiCode batch.