Majority Element - Leetcode 169 | Moore Voting Algorithm in JavaScript
In this video, solve Leetcode 169: Majority Element using the optimal Boyer–Moore Voting Algorithm in JavaScript.
You are given an array nums, and the majority element is the value that appears more than ⌊n/2⌋ times the problem guarantees it always exists.
What you’ll learn:
The intuition behind the Boyer–Moore Voting AlgorithmHow “cancelling out” non-majority elements works with a running candidate and countWhy this runs in O(n) time and O(1) extra space (no map, no sorting)JavaScript implementation with step-by-step dry run
📌 Examples:
Input: [3,2,3] → Output: 3
Input: [2,2,1,1,1,2,2] → Output: 2
Perfect for Top Interview 150, core array pattern recognition, and upgrading from hash-map solutions to constant-space algorithms in JavaScript.
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Keywords:
leetcode 169
majority element
boyer moore voting
javascript solution
more than n by 2
array frequency problem
optimal O1 space js
js coding interview
dsa javascript
top interview 150
majority element js
Hash tags:- #leetcode #javascript #dsa #coding #programming #reactjs
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