L8 - 1D DP | Maximize The Cut Segments | Learn How To Identify Base Cases In Max / Min Type Problems

Описание: Today in Lecture 8, we solve GFG. Maximize the Cut Segments problem using 1D Dynamic Programming and learn how to identify base cases in max/min type problems or could say problems involving “maximize/minimize the result.” Each cut’s validity highlights the base states that shape the correct DP transition.

🌐 Don’t forget to select your language in YouTube settings for better understanding and subtitles!

⮕ Problem Link: https://www.geeksforgeeks.org/problem...
⮕ 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 Problem + Building Intuition
7:48 - How Problem Give Hints To Think Recursive
8:32 - How To Identify Base Cases In Problems Involving "Maximize / Minimize The Result". Max / Min Type Problems (MOST IMPORTANT)
18:48 - Recursive Code
19:59 - Recursion Time + Approaching DP
20:25 - Coding Memoization + Time & Space Discussion
25:10 - 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  

Outro Music Credits :-
Song: Ikson - New Day (Vlog No Copyright Music)
Music provided by Vlog No Copyright Music.
Video Link:    • Ikson - New Day (Vlog No Copyright Music)  

#DynamicProgramming #DPSeries
#vHiren #CodingInHindi #DSAinHindi
#CodingInterviewPrep

🔔 Subscribe, Like & Share For More Series / Videos Like This.