In this video, I explain how to calculate Time Complexity step-by-step using simple rules:
✅ Ignore constant values
✅ Ignore lower order terms
✅ Focus on dominant term
✅ Understand nested loops
I demonstrate everything clearly using the Two Sum brute force approach (O(n²)).
We take the classic Two Sum problem and break down:
- How nested loops create quadratic complexity
- Why O(2n) becomes O(n)
- Why O(n² + n) becomes O(n²)
- How to identify dominant terms in interviews
This video is perfect for:
🔹 DSA beginners
🔹 Coding interview preparation
🔹 Students learning Big-O notation
🔹 Anyone confused about time complexity rules
If you're preparing for product-based companies or learning Data Structures in Python, this explanation will make Big-O simple and clear.
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#TimeComplexity #dsa #tamil
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