Solving LeetCode 169 Majority Element | Boyer-Moore Voting Algorithm Explained | Amazon | Google

Опубликовано: 12 Февраль 2024
на канале: Code Harmony

LeetCode problem 169. Majority Element [ 12th Feb 2024 ]

🔗 Resources & Links:

WhatsApp Channel: https://whatsapp.com/channel/0029Va8W...

Telegram Group: https://t.me/+4z-BZ2HuwHBmZDdl

My Solutions: https://github.com/sahilkumar1012/Hel...

Connect with Me on LinkedIn: / sahil1012

📌 Video Overview:
Dive deep into the solution for the LeetCode challenge titled '169. Majority Element'. Whether you're kickstarting your coding journey or aiming for roles at tech giants like Facebook, Amazon, Apple, Netflix, or Google, this tutorial is tailored for you. We'll break down the problem step-by-step, ensuring clarity and understanding.

🌟 Key Highlights:

A comprehensive walkthrough of the problem statement.
An intuitive explanation for both novice and intermediate coders.
Practical insights for acing interviews with top tech companies.
Code walkthrough to grasp the algorithmic approach.

📌 Chapters:
00:00 Understanding Problem Statement
02:21 HashTable / Hashing
04:36 Boyer-Moore Voting Algorithm O(N) time O(1) space
10:24 Dry Run - Moore Voting Algo

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Join me on this coding adventure! Let's learn, grow, and conquer challenges together. 🔥

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Problem Statement :

Given an array nums of size n, return the majority element.

The majority element is the element that appears more than ⌊n / 2⌋ times. You may assume that the majority element always exists in the array.

Example 1:

Input: nums = [3,2,3]
Output: 3

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