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Solution: Number of Longest Increasing Subsequence

Explore how to determine the count of longest strictly increasing subsequences in an integer array by applying dynamic programming techniques. Understand the approach of tracking subsequence lengths and counts at each index, and how to update these values efficiently. This lesson helps you implement the solution with O(n^2) time complexity and O(n) space complexity, deepening your grasp of solving sequence optimization problems.

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 ...