Time Complexity O(n2) #shorts #dsa #coding #codinginterview #programming #computerscience

🐢 O(n²) Time Complexity Explained (DSA)

O(n²) means the time grows with the square of input size.
If input doubles → work becomes 4x 📈

🧠 Where it appears:
• Nested loops
• Comparing every element with others

⚙️ Examples:
• Bubble Sort
• Selection Sort
• Insertion Sort (worst case)

📉 Slow for large inputs
💡 Optimize using better algorithms (like O(n log n))

#TimeComplexity #BigO #DSA #Algorithms #CodingReels 🚀

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