Backtracking Lecture 8 🔥 | Permutations Problem Explained | Recursion Tree + Dry Run

This is Lecture 8 of my Backtracking Series 🔥

Notes: Telegram Community Group

Telegram Community Channel link: https://t.me/studyplacementcommunity

Telegram Discussion Group link:
https://t.me/+iCezc5Ds9GkwZjdl

Upsolve Leetcode Contest:
   • Leetcode Contests  

Greedy & Heaps:
   • Greedy & Heaps  

Two pointers:
   • Two pointers  

Sliding Window:
   • Sliding Window  

Maths & Geometry:
   • Maths & Geometry  

Stack:
   • Stack  

Set & Map:
   • Set & Map  

Bit manipulation:
   • Bit Manipulation  

Backtracking:
   • Backtracking  

Linked List:
   • Linked List  

Binary Search:
   • Binary Search  

Graph:
   • Graph  

Dynamic Progamming:
   • Dynamic Programming  

In this video, we solve the *Permutations Problem* using Backtracking with:
✔ Step-by-step recursion logic
✔ Recursion tree visualization
✔ Complete dry run
✔ Swap-based and visited-array based approaches
✔ Time and space complexity

You will learn:
How permutations differ from subsets and combinations
How to avoid reuse of elements
How to build and revert choices correctly (backtrack)
Two standard ways to generate permutations

Problem covered:
👉 Permutations (LeetCode)

This pattern is used in:
Permutations II
Next Permutation logic understanding
Arrangement based problems

📌 Watch earlier lectures before this:
Lecture 1 — Recursion Basics
Lecture 2 — Subsets
Lecture 3 — Lexicographical Subsets
Lecture 4 — Subsets II
Lecture 5 — Combinations
Lecture 6 — Backtracking Patterns

Language: Hindi + English (Hinglish)

🔔 Subscribe for upcoming lectures on Combination Sum, N-Queens, Sudoku Solver, etc.

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