Rotting Oranges | Leetcode 994 Explained Simply (Multi-Source BFS) | NeetCode 150

Rotting Oranges Leetcode 994 Solution | Multi-Source BFS Explained | NeetCode 150 Binary Matrix Problem

In this video, we solve Leetcode 994: Rotting Oranges using the optimal Multi-Source BFS approach.

If you've ever been confused about when to use BFS instead of DFS, this problem is a perfect example. We'll build the intuition step by step, understand why one BFS level represents one minute, and implement the solution in C++.

This is a very popular coding interview problem that teaches an important BFS pattern frequently asked in technical interviews.

⏱️ Timestamps
00:00 - Problem Understanding
00:50 - Quick Dry Run & Edge Case
05:06 - Example Walkthrough (Why BFS Works)
07:10 - Handling the Edge Case in Code
10:04 - BFS Setup (Queue & Fresh Count)
18:26 - Time & Space Complexity
18:50 - Interview Tip: Why Multi-Source BFS?

📚 What You'll Learn

✔ Multi-Source BFS intuition
✔ Why BFS is better than DFS here
✔ How BFS levels represent time
✔ Queue initialization strategy
✔ Fresh orange counting optimization
✔ Important interview insights
✔ Time & Space Complexity analysis
✔ Clean C++ implementation

This problem is commonly asked in interviews at product-based companies and is an excellent introduction to Multi-Source BFS.

If this video helped you, please like and subscribe to support the channel and help more developers learn DSA step by step.

#Leetcode994 #RottingOranges #BFS #NeetCode150 #CodingInterview #DSA

Видео Rotting Oranges | Leetcode 994 Explained Simply (Multi-Source BFS) | NeetCode 150 канала Ghost Codes