Algorithm Complexity Calculator
Analyze your algorithm's time and space complexity using Big O notation. Enter your algorithm details below to get performance analysis.
Common Big O Complexities (Best to Worst)
- O(1) - Constant Time
- O(log n) - Logarithmic Time
- O(n) - Linear Time
- O(n log n) - Linearithmic Time
- O(n²) - Quadratic Time
- O(n³) - Cubic Time
- O(2ⁿ) - Exponential Time
- O(n!) - Factorial Time
About the Author
Kumaravel Madhavan
Web developer and data researcher creating accurate, easy-to-use calculators across health, finance, education, and construction and more. Works with subject-matter experts to ensure formulas meet trusted standards like WHO, NIH, and ISO.
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technology
programming
algorithm
complexity