L16 - Multi Dimensional DP | Student Attendance Record 2 | 3D DP | Bottom Up 3 Ways | LeetCode 552 скачать в хорошем качестве

L16 - Multi Dimensional DP | Student Attendance Record 2 | 3D DP | Bottom Up 3 Ways | LeetCode 552

Today in Lecture 16 of Multi Dimensional DP (GRID DP), we solve LeetCode 552 (HARD). Student Attendance Record II, using 3D Dynamic Programming. We'll be focusing on Intuition Building on how to track absence count, late streaks, and days passed shapes the transition, and we discuss 𝟯 𝗗𝗜𝗙𝗙𝗘𝗥𝗘𝗡𝗧 𝗕𝗢𝗧𝗧𝗢𝗠-𝗨𝗣 𝗔𝗣𝗣𝗥𝗢𝗔𝗖𝗛𝗘𝗦 to understand the optimization choices clearly. Learn Recursion ⮕ Memoization ⮕ Tabulation ⮕ Space Optimization and build your DP foundation in Hindi. 🌐 Don’t forget to select your language in YouTube settings for better understanding and subtitles! ⮕ Problem Link: https://leetcode.com/problems/student... ⮕ Code Link: https://github.com/hiren-j/dsaAffecti... Welcome back to the ULTIMATE DP SERIES in HINDI | vHiren DP Series This series is designed to help you master Dynamic Programming for coding interviews. From beginner to advanced level, this series covers 12 DP Patterns In which we'll be focusing on recursion, memoization, tabulation, space optimization—everything you need to know about DP. Here are the patterns which you'll be learning :- ⮕ 1D DP ⮕ Multi Dimensional DP ⮕ Subarrays DP ⮕ Subsequences DP ⮕ LIS DP ⮕ String DP ⮕ Stocks DP ⮕ Game Theory DP ⮕ Partition DP ⮕ Square Submatrix DP ⮕ Tree DP ⮕ Graph DP 🔍 What sets this series apart :- ⮕ Both Top-Down DP and Bottom-Up DP solutions 💡. ⮕ Multiple ways of writing Top-Down and Bottom-Up approaches. ⮕ Solutions consider optimizations as much as possible, including various space optimizations across different patterns (e.g., from 1D to constant space optimization, as we do in Bottom-Up approaches) 🛠️. ⮕ Diagrammatic Explanations, For Example: Tree Diagrams, etc 🤯. ⮕ Detailed time and space complexity note on the recursive solutions ⏱️.. ⮕ The perfect sequence of problems for each pattern, helping you solve them in the right order 📊. Whether you're a beginner in Dynamic Programming or aiming to master it, this series will be helpful for everyone. This is designed to help others so that they won't struggle the same way I did. Video Chapters :- 0:00 - Understanding The Problem 3:56 - How Problem Give Hints To Think Recursive 4:10 - Approaching Recursion 15:04 - Recursive Code 16:10 - Recursion Time + Approaching DP 16:32 - Coding Memoization + Time Space Discussion 21:22 - Coding Bottom Up + Time Space Discussion 📲 Follow Me On 🔹 LinkedIn:   / hirenjoshi1630   🔹 GitHub: https://github.com/hiren-j 🔹 Instagram:   / cuzvhiren   Your Queries :- vhiren dp series ultimate dp series dp series in hindi dynamic programming hindi tutorial learn dp fast, dp roadmap 2025 dynamic programming playlist coding interview dp questions dp patterns explained hindi dp for beginners recursion to dp roadmap data structures and algorithms dp vhiren dynamic programming ⚠️ Disclaimer: This video is created for educational purposes only. All concepts, explanations, and examples are made by the creator to help students understand Dynamic Programming better. No copyrighted content or third-party material has been used intentionally. Any resemblance to other tutorials is purely coincidental. © vHiren — All Rights Reserved. Intro Music Credits :- Song: Blue Boi Music provided by LAKEY INSPIRED Video Link:    • LAKEY INSPIRED - Blue Boi   #DynamicProgramming #DPSeries #vHiren #CodingInHindi #DSAinHindi #CodingInterviewPrep 🔔 Subscribe, Like & Share For More Series / Videos Like This.