Скачать или смотреть L2. First negative in every window of size k | Fixed Size | Sliding Window Technique

🔥 *First Negative Number in Every Window of Size K | Sliding Window Technique*

CLASS NOTES LINK - https://drive.google.com/file/d/1KBuW...

Timestamps for quick navigation 👇

00:00 Introduction
01:43 Problem Identification — Fixed Size Sliding Window Concept
02:13 Brute Force Approach Explained (O(N × K))
06:05 Optimized Sliding Window Approach with Queue
07:16 Window Movement Logic (Add & Remove Elements)
10:27 Why Queue is Used to Track First Negative Number
11:52 Optimized Algorithm Dry Run
15:19 Pseudocode Explanation Step-by-Step
17:48 Time and Space Complexity Analysis
18:34 Code Implementation (Complete Solution)

In this video, we solve the classic sliding window problem *“First Negative Number in Every Window of Size K”* step-by-step with an optimal approach.

You will learn:
✅ Brute force vs optimized solution
✅ How to maintain elements inside a window efficiently
✅ Using queue/deque for O(N) complexity
✅ Sliding Window pattern for interviews

This problem is very important for coding interviews and helps build strong intuition for fixed-size window problems.

📌 *Topics Covered*

Sliding Window Basics
Fixed Window Technique
Queue / Deque Optimization
Interview Tips & Edge Cases

💻 *Code Implementation:* Explained clearly during the video.

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