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LeetCode 46: Permutations | C# Solution | Backtracking Algorithm

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In this video, I solve LeetCode 46: Permutations using a #backtracking approach in C#. We'll generate all possible permutations of a collection of distinct integers. #algorithms #leetcode #csharp
⏱️ **Time Complexity**: O(N × N!) where N is the length of input array
🗂️ **Space Complexity**: O(N!) for storing all permutations
## 📋 Timestamps:
00:00 - Understanding problem statement
00:34 - Understanding Backtracking algorithm
01:16 - Applying Backtracking
02:58 - Big O Notation explained
03:25 - C# solution walk-through
04:31 - Solution analysis - runtime + memory
## 🔑 Key Concepts:
- Backtracking algorithm fundamentals
- Recursive solution building
- Managing state during recursion
- Building permutations incrementally
## 💡 Main Learning Points:
- How to implement backtracking in C#
- Handling recursive calls efficiently
- Using Lists vs Arrays for dynamic collections
- Optimizing recursive solutions for interview scenarios
## 🔄 Related Problems:
- LeetCode 47: Permutations II (with duplicates)
- LeetCode 31: Next Permutation
- LeetCode 60: Permutation Sequence
- LeetCode 784: Letter Case Permutation
## 👥 Target Audience:
This video is designed for intermediate programmers preparing for coding interviews, with focus on algorithmic problem-solving in C#.
## 📚 Prerequisites:
- Basic understanding of C# syntax
- Familiarity with recursion concepts
- Understanding of List and Array data structures
## 🔗 Links:
## 🚀 Action Steps:
Like this video and subscribe for weekly #codinginterview preparation content! Share your questions or alternative solutions in the comments below.
⏱️ **Time Complexity**: O(N × N!) where N is the length of input array
🗂️ **Space Complexity**: O(N!) for storing all permutations
## 📋 Timestamps:
00:00 - Understanding problem statement
00:34 - Understanding Backtracking algorithm
01:16 - Applying Backtracking
02:58 - Big O Notation explained
03:25 - C# solution walk-through
04:31 - Solution analysis - runtime + memory
## 🔑 Key Concepts:
- Backtracking algorithm fundamentals
- Recursive solution building
- Managing state during recursion
- Building permutations incrementally
## 💡 Main Learning Points:
- How to implement backtracking in C#
- Handling recursive calls efficiently
- Using Lists vs Arrays for dynamic collections
- Optimizing recursive solutions for interview scenarios
## 🔄 Related Problems:
- LeetCode 47: Permutations II (with duplicates)
- LeetCode 31: Next Permutation
- LeetCode 60: Permutation Sequence
- LeetCode 784: Letter Case Permutation
## 👥 Target Audience:
This video is designed for intermediate programmers preparing for coding interviews, with focus on algorithmic problem-solving in C#.
## 📚 Prerequisites:
- Basic understanding of C# syntax
- Familiarity with recursion concepts
- Understanding of List and Array data structures
## 🔗 Links:
## 🚀 Action Steps:
Like this video and subscribe for weekly #codinginterview preparation content! Share your questions or alternative solutions in the comments below.
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