Give an O(n n) -time algorithm to find the longest monotonically increasing subsequence of a sequence of n numbers. (Hint: Observe that the last element of a candidate subsequence of length i is at least as large as the last element of a candidate subsequence of length i-1 . Maintain candidate subsequences by linking them through the input sequence. | Numerade

Longest Increasing Subsequence (LIS) - GeeksforGeeks

🤔 What Is Dynamic Programming With Python Examples

What is Dynamic Programming? Top-down vs Bottom-up Approach | Simplilearn