Algorithm Complexity Calculator
Analyze and compare Big-O time complexity for different algorithms and input sizes.
Complexity Reference
Common Algorithms:
- O(1): Hash table lookup
- O(log n): Binary search
- O(n): Linear search
- O(n log n): Merge sort, Quick sort
- O(n^2): Bubble sort, Insertion sort
- O(2^n): Recursive Fibonacci
- O(1): Hash table lookup
- O(log n): Binary search
- O(n): Linear search
- O(n log n): Merge sort, Quick sort
- O(n^2): Bubble sort, Insertion sort
- O(2^n): Recursive Fibonacci
? Frequently Asked Questions
How accurate is this
This calculator uses standard formulas and provides accurate results for typical use cases. For professional or critical applications, always verify results with certified professionals or official sources.
Is this calculator free to use?
Yes, this Algorithm Complexity Calculator is completely free to use with no registration required. You can use it as many times as needed without any limitations.
Can I use this on mobile devices?
Absolutely! This calculator is fully responsive and works perfectly on smartphones, tablets, and desktop computers.
How do I interpret the results?
The results are displayed clearly with appropriate units. Refer to the About This Calculator section for detailed information.