Binary Exponentiation | Fast Exponentiation | Detailed For Beginners | codestorywithMIK
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This is the 2nd video of our playlist "Maths Concepts & Questions".
Find the Details below:
Video Name: Binary Exponentiation | Fast Power Algorithm | Detailed For Beginners
Video #: 2
🔍 Mastering Maths for Coding: Simplified & Powerful.
🎥 Welcome to the 2nd Video of my Maths Concepts Playlist!
🚀 In this important video, we will break down Binary Exponentiation also known as Fast Exponentiation — a must-know technique to speed up calculations.
🔍 What's Inside?
Binary Exponentiation: Learn how to efficiently compute large powers of numbers in O(log n) time using the concept of dividing the problem into subproblems — a major optimization over naive approaches.
We'll cover:
The mathematical intuition behind Binary Exponentiation
Step-by-step implementation
Recursive Approach
How it’s used in Competitive Programming & CP Problems
👩 💻 Who Should Watch?
If you're a beginner, a coding enthusiast, or preparing for coding interviews/contests, this video will solidify one of the most used techniques in Modular Arithmetic & CP problems.
🚀 Let's make maths your superpower in coding!
📌 My Other Playlists
My DP Concepts Playlist: • Roadmap for DP | How to Start DP ? | ...
My Graph Concepts Playlist: • Graph Concepts & Qns - 1 : Graph will...
My Recursion Concepts Playlist: • Introduction | Recursion Concepts And...
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Summary :
In this video, I have explained about Binary Exponentiation, which is used to efficiently find large powers of the form a^b. Instead of using the basic brute-force approach, Binary Exponentiation helps us to calculate powers in O(log n) time. I have shown the recursive code implementation in the video along with a clear explanation of how the technique works. This method is very important for coding interviews and competitive programming problems, especially when dealing with large numbers or modular arithmetic.
By the end of this video, you will clearly understand how to apply Binary Exponentiation and write optimized code for power calculations.
✨ Timelines✨
00:00 - Introduction
Motivation
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