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Solution: Number of Longest Increasing Subsequence

Explore how to determine the number of longest strictly increasing subsequences in an integer array by leveraging dynamic programming techniques. Understand how to track subsequence lengths and counts for each position, and implement a solution with O(n²) time and O(n) space complexity. This lesson enhances your ability to apply dynamic programming concepts to sequence problems effectively.

Statement

Given an integer array nums, return the number of longest strictly increasing subsequences it contains.

A subsequence is formed by choosing elements from the array while keeping their original order, and it is considered strictly increasing if every next element is greater than the previous one.

Constraints:

  • 11 \le ...