🔥 LeetCode 169 – Majority Element | C++ Solution

One element appears more than half the time. Find it. Sounds straightforward - until you try to do it without extra space. That's where most people get stuck. In this video I break down the *Majority Element* problem completely. We go from the map-based approach all the way to the *Boyer-Moore Voting Algorithm* - one of the most elegant algorithms in DSA. *Problem:* Given an array of size n, return the element that appears more than n/2 times. The majority element is guaranteed to exist. The HashMap solution works. But the Boyer-Moore solution will make you stop and appreciate how clever an algorithm can actually be. *What's covered:* - *Map-based approach* with O(n) time and O(n) space - the intuitive way - Why we can do better and what the constraint is pushing us toward - *Boyer-Moore Voting Algorithm* built from scratch, step by step - The core intuition - why votes cancel out and what survives - *O(n) time, O(1) space* final solution with dry run - Why this algorithm shows up in serious *coding interviews* Once you understand why Boyer-Moore works, you won't just remember the algorithm - you'll actually be able to derive it yourself. That's the level interviewers are looking for. *Try it yourself:* 🔗 https://leetcode.com/problems/majority-element/ - - - *Connect with me:* 🌐 Portfolio → https://kamleshchandela-portfolio.netlify.app/ 💼 LinkedIn → https://www.linkedin.com/in/kamlesh-chandela 🐙 GitHub → https://github.com/KamleshChandela 📊 LeetCode → https://leetcode.com/u/KamleshChandela/ 🐦 Twitter → https://x.com/Kamlesh__cg 📧 Email → [email protected] - - - #LeetCode #LeetCode169 #MajorityElement #BoyerMoore #Arrays #DSA #CPlusPlus #CodingInterview #DataStructures #Algorithms #InterviewPrep #LearnCoding #CodingGita #KamleshChandela #ProblemSolving #CodeWithKamlesh