Solution: Number of Longest Increasing Subsequence
Explore how to use dynamic programming to calculate the number of longest strictly increasing subsequences in an integer array. Understand the approach of tracking subsequence lengths and counts concurrently, updating them through iteration to achieve an efficient O(n²) algorithm. This lesson guides you through the step-by-step solution, helping you master key DP concepts applicable to similar problems.
We'll cover the following...
We'll cover the following...
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:
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