L14.2 - Multi Dimensional DP | Cherry Pickup 2 | 3D DP | Bottom Up 4 Ways | LeetCode 1463 Intuition

Today in Part 2 of Lecture 14 of Multi Dimensional DP (GRID DP), we continue solving LeetCode 1463 (HARD). Cherry Pickup II problem but introducing optimization to the previous approach by using 3D Dynamic Programming. The two-robot simultaneous movement across columns defines the transition, and 𝗪𝗘 𝗪𝗜𝗟𝗟 𝗕𝗘 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗡𝗚 𝗟𝗢𝗢𝗣𝗦 𝗪𝗜𝗧𝗛 𝗥𝗘𝗖𝗨𝗥𝗦𝗜𝗢𝗡, along with 𝟰 𝗗𝗜𝗙𝗙𝗘𝗥𝗘𝗡𝗧 𝗕𝗢𝗧𝗧𝗢𝗠-𝗨𝗣 𝗔𝗣𝗣𝗥𝗢𝗔𝗖𝗛𝗘𝗦 to understand optimization choices clearly. Learn Recursion ⮕ Memoization ⮕ Tabulation ⮕ Space Optimization and build your DP foundation in Hindi.

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⮕ Problem Link: https://leetcode.com/problems/cherry-...
⮕ 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 - Optimizing Previous Approach
2:18 - Coding Memoization + Time Space Discussion
3:20 - Coding Bottom Up + Time Space Discussion

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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.
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