Скачать или смотреть Recursion-13 | Space Complexity (Theory)

JOIN MY WHATSAPP COMMUNITY FOR UPDATES: https://chat.whatsapp.com/BTlYJt2pCxj...
Support me 🙌🏻: https://www.buymeacoffee.com/anuj.bar...
Leetcode: X
Github Repo: https://github.com/team-codebug/leetcode
Notes: https://github.com/team-codebug/leetc...

3 Months DSA for Placements! 🚀 Beginner to Advanced Playlist

Understanding space complexity in recursion is essential for mastering algorithms and writing efficient code. In this video, we break down the two components of space usage in a recursive function:

🧠 1. Recursion-Related Space
👉 Learn how each recursive call adds a new frame to the call stack and how this impacts space complexity — especially in tail vs non-tail recursive functions.

📦 2. Non-Recursion-Related Space
👉 Explore how local variables, input sizes, and auxiliary data structures (like arrays, hashmaps, etc.) contribute to overall memory consumption.

📌 Whether you're preparing for coding interviews or simply aiming to deepen your understanding, this video gives you the clarity you need to analyze recursive functions confidently.

🔍 Examples included:

Factorial

Fibonacci

#SpaceComplexity
#RecursionExplained
#CallStack
#TailRecursion
#CodingInterviewPrep
#DSA
#DataStructures
#AlgorithmAnalysis
#ProgrammingConcepts
#ComputerScienceBasics
#CTOBHaiya
#DSA2025

Your queries:
space complexity recursion
recursion space complexity
recursion vs iteration space
tail recursion space
call stack recursion
recursion explained
recursion stack frame
data structures recursion
system design recursion
recursion memory usage

CHAPTERS
0:00 Introduction
0:14 Two Main Parts for Space Complexity in Recursion
0:50 What is Recursion Related Space
6:10 Stack Overflow
7:12 What is Non-Recursion Related Space
8:44 Overall Space Complexity
10:30 Conclusion





===========================
➡️ Connect with me:
LinkedIn :   / anuj-kumar-9a188968  
Instagram :   / mr.anuj.brandy  
Discord :   / discord  
===========================