Practice Problem

Longest Increasing Subsequence

Difficulty: Medium

Given an integer array, return the length of the longest strictly increasing subsequence.

Longest Increasing Subsequence

Given an integer array nums, return the length of the longest strictly increasing subsequence.

A subsequence is a sequence derived from the array by deleting some or no elements without changing the order of the remaining elements. For example, [3, 6, 2, 7] is a subsequence of [0, 3, 1, 6, 2, 2, 7].

Examples

Example 1:

Input: nums = [10, 9, 2, 5, 3, 7, 101, 18]
Output: 4
Explanation: The longest increasing subsequence is [2, 3, 7, 101], which has length 4.

Example 2:

Input: nums = [0, 1, 0, 3, 2, 3]
Output: 4
Explanation: The longest increasing subsequence is [0, 1, 2, 3], which has length 4.

Example 3:

Input: nums = [7, 7, 7, 7, 7, 7, 7]
Output: 1
Explanation: All elements are equal, so the longest strictly increasing subsequence has length 1.

Constraints

  • 1 <= nums.length <= 2500
  • -10^4 <= nums[i] <= 10^4

Expected Complexity

  • Time: O(n log n) using patience sorting / binary search, or O(n^2) using DP
  • Space: O(n)
MEDIUM
Dynamic Programming
Tabulation
Longest Increasing Subsequence
Binary Search
Algorithms
Intermediate

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