Frequently Asked Questions
What does Big-O notation describe?
Big-O describes how the amount of work an algorithm does grows as the input size increases. This tool shows the raw operation count for each complexity class so you can compare how they scale for a given input size.
Why do exponential and factorial counts show as overflow?
Exponential and factorial growth explode so quickly that the counts exceed the range a standard double-precision number can hold. The tool labels these as overflow to show that the algorithm is intractable at that input size.
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Estimates for informational purposes only.
Important Disclaimer: Estimates for informational purposes only.
This calculator provides estimates for informational purposes only. Results are based on assumptions and may not reflect actual outcomes. Consult qualified professionals in relevant fields before making important decisions based on these results.