Dynamic Programming pattern
Longest Increasing Subsequence
Given an integer array, return the length of its longest strictly increasing subsequence (elements need not be contiguous but must keep their original order). Watch it run step by step, then write your own pseudocode and get it checked by AI.
- LeetCode 300
- Medium
- 1 approach
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Dynamic ProgrammingLeetCode 300
Medium
The approach
- 01 DP on ending index (O(n²)) O(n²)O(n) space
What you will learn
- How to read Longest Increasing Subsequence and spot the dynamic programming pattern in it
- DP on ending index (O(n²)): O(n²) 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 Longest Increasing Subsequence run, step by step
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DSA comes with the all labs plan and every ChaiCode batch.