Two Pointers & Sliding Window: Turn O(n²) Into O(n)
📰 Medium · Programming
Learn to optimize algorithms from O(n²) to O(n) using Two Pointers and Sliding Window techniques
Action Steps
- Apply the Two Pointers technique to problems that involve checking every pair of elements in an array
- Use the Sliding Window approach to solve problems that require checking every subarray
- Configure your algorithm to use a single pass through the data, reducing time complexity
- Test your optimized algorithm with sample inputs to verify its correctness
- Compare the performance of your optimized algorithm with the original O(n²) solution
Who Needs to Know This
Software engineers and developers can benefit from this technique to improve the efficiency of their algorithms, making their code more scalable and performant.
Key Insight
💡 Many 'check every pair / every subarray' problems can be optimized from O(n²) to O(n) using the right techniques
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💡 Optimize your algorithms from O(n²) to O(n) with Two Pointers and Sliding Window techniques!
Key Takeaways
Learn to optimize algorithms from O(n²) to O(n) using Two Pointers and Sliding Window techniques
Full Article
Part 3 of the “Algorithms You Actually Use” series. A whole class of “check every pair / every subarray” problems looks like it needs… Continue reading on Medium »
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