LeetCode #169 Majority Element 🚀 | O(n) Boyer-Moore Algorithm (C++)

🚀 In this video, we solve LeetCode Problem #169 – Majority Element, one of the most important problems for understanding optimal algorithms in coding interviews. You’ll learn how to efficiently find the majority element using the powerful Boyer-Moore Voting Algorithm. 💡 What You’ll Learn: ✔️ Clear problem explanation ✔️ Brute Force vs Optimal approach ✔️ Boyer-Moore Voting Algorithm (step-by-step) ✔️ Time Complexity: O(n) ✔️ Space Complexity: O(1) ✔️ Clean and optimized C++ implementation 🎯 Why This Problem Matters: This problem helps you understand: Advanced optimization techniques How to reduce space complexity Efficient problem-solving strategies It’s one of the most asked coding interview questions. 💻 Tech Stack: Language: C++ (C++20+) Concepts: Arrays, Voting Algorithm, Optimization 🔥 Who Should Watch: Beginners in DSA Students preparing for coding interviews Anyone learning LeetCode Easy problems #leetcode #leetcodeeasy #leetcode169 #majorityelement #boyermoore #algorithms #dsa #datastructures #codinginterview #cpp #programming #learncoding #coding #codingtips #softwareengineering #developer #interviewpreparation #problemSolving #array #optimization