Longest Increasing Subsequence | Longest Increasing Subsequence In Dynamic Programming | Simplilearn

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This video on Longest Increasing Subsequence in Dynamic Programming will acquaint you with a clear understanding of the Longest increasing Subsequence problem statement and solution implementation. In this Data Structure Tutorial, you will understand what is a longest increasing subsequence and how you can solve the same problem with less time complexity using DP. Finally, we will cover the implementation of longest increasing subsequence in dynamic Programming.

The topics covered in this video are:
00:00 Introduction to Longest Increasing Subsequence
00:42 Problem Statement of Longest Increasing Subsequence in Dynamic Programming
01:14 Algorithm Solution of Longest Increasing Subsequence in Dynamic Programming
02:03 Implementation of Longest Increasing Subsequence in Dynamic Programming

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What Is Dynamic Programming?
Dynamic Programming is an algorithmic technique for solving a problem by recursively breaking it down into simpler subproblems and using the fact that the optimal solution to the overall problem depends upon the optimal solution to it’s individual subproblems.

This video cover following topics

First, We start with the Problem statement. here we have explained about the longest increasing subsequence and what is our final goal in this video.

Then we will dive into its algorithmic Solution. Here we have discussed step by step Solution to solve longest increasing subsequence problem.

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