LeetCode 540 🔍 Single Element in Sorted Array | O(log n) Binary Search (Amazon, Google, Microsoft)
LeetCode 540 🔍 Single Element in Sorted Array | O(log n) Binary Search (Amazon, Google, Microsoft)
Website: https://penpaperpreparation.com/
Learn how to solve *LeetCode 540 – Single Element in a Sorted Array* using a clean *O(log n)* binary search solution — a must-know interview question!
✅ Frequently asked by top tech companies:
Amazon
Apple
Facebook (Meta)
Google
Microsoft
Bloomberg
📌 In this video you'll learn:
1️⃣ Why pairs before the single element follow an even-odd index pattern
2️⃣ How to use binary search and index parity to locate the unique element
3️⃣ A complete C++/Java implementation (incl. `mid & 1` trick)
4️⃣ Handle edge cases effectively (single-element arrays, arrays with only duplicates)
5️⃣ Time complexity: O(log n) & space complexity: O(1)
💡 *Why it matters:*
This problem is a *core binary search variant* frequently featured in FAANG+ interviews. Mastering it gives you a big advantage in solving advanced array problems under pressure.
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