Time Complexity Comparison
Calculate Time Complexity Comparison instantly with the exact formula and a worked example.
Time Complexity Comparison
Input size n
Operations per second
O(n²) is slower than O(n log n) by
50,172times
O(log n)
1.99e-8s
O(n)
0.001s
O(n log n)
0.0199s
O(n²)
1000s
More about: Time Complexity Comparison
What it calculates
The “Time Complexity Comparison” calculator computes O(n²) is slower than O(n log n) by in times from 2 parameters: input size n, operations per second.
Standard IT calculations for developers and sysadmins.
Example calculation
With parameters Input size n = 1,000,000, Operations per second = 1,000,000,000 the result is 50,172 times (Constants and caching are ignored — estimate by count of elementary operations).
How to use
- Enter input size n and operations per second — each field above is adjustable with a slider.
- O(n²) is slower than O(n log n) by (times) is calculated automatically as you type.
- Check the worked example below to see the formula applied to real numbers.
- Copy the result or bookmark this calculator.
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FAQ
How is Time Complexity Comparison calculated?
The Time Complexity Comparison calculator computes O(n²) is slower than O(n log n) by (in times) from input size n, operations per second. Enter your values above and the exact formula is applied instantly; a worked example with real numbers is shown below.
Is the Time Complexity Comparison calculator free?
Yes. It is completely free, needs no signup, runs entirely in your browser, and sends no data to any server.
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