Day 4: LeetCode Problem Solving | Pow(x, n) Problem Solution Explained | 150 Days Coding Challenge

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Day 4: LeetCode Problem Solving | Pow(x, n) Problem Solution Explained | 150 Days Coding Challenge by Gaurav Pandey

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Welcome to Day 4 of our 150 Days Coding Challenge with LeetCode problem-solving! In this video, we will solve the Pow(x, n) problem using an optimized fast exponentiation approach. Whether you're preparing for FAANG interviews, competitive programming, or improving your data structures and algorithms (DSA) skills, this video is for you!

📌 What You’ll Learn in This Video?
✅ LeetCode 50: Pow(x, n) explained step-by-step
✅ Recursive & iterative solutions for efficient power calculation
✅ Binary Exponentiation (Fast Power) O(log n) approach
✅ Edge cases, constraints, and best practices

📜 Problem Statement:
Given a floating point number x and an integer n, compute pow(x, n), i.e., x raised to the power n (xⁿ), in the most optimized way.

💡 Concepts Covered:
🔹 Divide & Conquer algorithm for power calculation
🔹 Mathematical optimization techniques
🔹 Time Complexity Analysis for O(log n) solution
🔹 Handling negative powers and edge cases

🚀 Who Should Watch This?
✔️ Beginners & Intermediate coders
✔️ LeetCode, CodeChef, CodeForces, and GFG enthusiasts
✔️ FAANG & tech interview aspirants
✔️ Software engineers & competitive programmers

📌 Watch till the end for a detailed dry run & code implementation in Python, Java, and C++!

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Join our 150-day coding journey and enhance your problem-solving & algorithmic thinking. Don’t forget to like, share, and subscribe for more LeetCode solutions, DSA tutorials, and interview preparation tips.

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