Скачать или смотреть Trionic Array II | Simplest Approach | Detailed Intuition | Leetcode 3640 | codestorywithMIK

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This is the 132nd Video of our Playlist "Dynamic Programming : Popular Interview Problems" by codestorywithMIK

Today we will be solving a problem a very good problem based on DP - Trionic Array II | Simplest Approach | Detailed Intuition | Leetcode 3640 | codestorywithMIK

I will explain the intuition so easily that you will never forget and start seeing this as cakewalk EASYYY.
We will do live coding after explanation and see if we are able to pass all the test cases.
Also, please note that my Github solution link below contains both C++ as well as JAVA code.

Problem Name : Trionic Array II | Simplest Approach | Detailed Intuition | Leetcode 3640 | codestorywithMIK
Company Tags : Will update later
My solutions on Github(C++ & JAVA) : https://github.com/MAZHARMIK/Intervie...
Leetcode Link : https://leetcode.com/problems/trionic...


My DP Concepts Playlist :    • Roadmap for DP | How to Start DP ? | Topic...  
My Graph Concepts Playlist :    • Graph Concepts & Qns - 1 : Graph will no m...  
My Segment Tree Concepts Playlist :    • Segment Tree | Introduction | Basics | Bui...  
My Recursion Concepts Playlist :    • Introduction | Recursion Concepts And Ques...  
Trie Playlist -    • Word Search II | Leetcode 212 | Detailed |...  
Difference Array Technique: Concepts & Qns :    • Introduction | What | How | Difference Arr...  
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My GitHub Repo for interview preparation : https://github.com/MAZHARMIK/Intervie...
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Video Summary :
We are choosing a subsequence that must follow a strict shape: increasing, then decreasing, then increasing again. Brute force would try every subsequence, but that repeats the same future decisions many times. The key insight is that at any position, the only thing that matters about the past is which phase of the pattern we are currently in. That lets us define a small DP state based on index and trend instead of the whole subsequence. From each state, we try taking or skipping the element while respecting the shape rules, and memoize results so each state is solved once. This turns an exponential search into a linear DP solution.


✨ Timelines✨
00:00 Introduction
00:27 Motivation
00:42 Problem Explanation
03:15 Thought Process + Why Recursion
06:46 Different Trends
22:24 Homework
24:58 Coding it up

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