Armstrong Number Logic & Code Explained in Tamil | Interview Q&A Series
In this video, we master the Armstrong Number logic from scratch. Many students make the mistake of thinking the Time Complexity is O(N), but the real answer is O(log N)! Watch the full video to understand the Math, Logic, and Code behind this popular interview question.
🔥 What you will learn in this video: ✅ What is an Armstrong Number? (Dry Run with 153 & 1634) ✅ Why the logic changes for 3-digit vs 4-digit numbers. ✅ Time Complexity Analysis: Why it is O(log N) and NOT O(N). ✅ The Math.log10 shortcut (The 2.18 Trick explained). ✅ Full Java Code walkthrough. ✅ Rapid Fire Interview Questions & Answers.
Homework Question: Is 370 an Armstrong Number? Comment your answer below! 👇
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