L23 - Multi Dimensional DP | Minimize Difference Between Target and Chosen Element | 2D DP | LC 1981 скачать в хорошем качестве

L23 - Multi Dimensional DP | Minimize Difference Between Target and Chosen Element | 2D DP | LC 1981

Today in Lecture 23 of Multi Dimensional DP (GRID DP), we solve LeetCode 1981 (MEDIUM). Minimize the Difference Between Target and Chosen Elements problem using 2D Dynamic Programming. We design the DP state around row-wise choices, carefully handle target deviation in transitions, and along with 𝗪𝗘 𝗪𝗜𝗟𝗟 𝗕𝗘 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗡𝗚 𝗟𝗢𝗢𝗣𝗦 𝗪𝗜𝗧𝗛 𝗥𝗘𝗖𝗨𝗥𝗦𝗜𝗢𝗡. 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/minimiz... ⮕ 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 3:00 - Thought Process 4:30 - How Problem Give Hints To Think Recursive 4:47 - Approaching Recursion 10:26 - Recursive Code 11:45 - Recursion Time + Approaching DP 12:52 - Coding Memoization + Time & Space Discussion 18:25 - 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.