Solution: Number of Longest Increasing Subsequence
Understand how to count the number of longest strictly increasing subsequences in an integer array by applying dynamic programming. This lesson guides you through implementing an algorithm that tracks subsequence lengths and counts, enabling you to solve related problems efficiently with a time complexity of O(n²).
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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