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Description
LeetCode 300: Longest Increasing Subsequence
Category: Dynamic Programming
Difficulty: See LeetCode
Solution File: src/dynamic_programming/longest_increasing_subsequence.py
Test File: tests/test_longest_increasing_subsequence.py
Problem Description
Given an integer array nums, return the length of the longest strictly increasing subsequence.
Example 1:
Input: nums = [10,9,2,5,3,7,101,18]
Output: 4
Explanation: The longest increasing subsequence is [2,3,7,101], therefore the length is 4.
Example 2:
Input: nums = [0,1,0,3,2,3]
Output: 4
Constraints:
- 1 <= nums.length <= 2500
- -10^4 <= nums[i] <= 10^4
Tasks
- Implement the solution in
src/dynamic_programming/longest_increasing_subsequence.py - Ensure all test cases pass
- Analyze time complexity
- Analyze space complexity
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blind-75Blind 75 - Blind-75 problemsBlind 75 - Blind-75 problemsdynamic programmingBlind 75 - Dynamic Programming problemsBlind 75 - Dynamic Programming problems