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Restructure the Big O Notation table.

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Oleksii Trekhleb 2022-01-26 20:53:22 +01:00
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@ -305,15 +305,15 @@ Source: [Big O Cheat Sheet](http://bigocheatsheet.com/).
Below is the list of some of the most used Big O notations and their performance comparisons against different sizes of the input data.
| Type | Big O Notation | Computations for 10 elements | Computations for 100 elements | Computations for 1000 elements |
| ----------- | -------------- | ---------------------------- | ----------------------------- | ------------------------------- |
| Constant | **O(1)** | 1 | 1 | 1 |
| Logarithmic | **O(log N)** | 3 | 6 | 9 |
| Linear | **O(N)** | 10 | 100 | 1000 |
| n log(n) | **O(N log N)** | 30 | 600 | 9000 |
| Quadratic | **O(N^2)** | 100 | 10000 | 1000000 |
| Exponential | **O(2^N)** | 1024 | 1.26e+29 | 1.07e+301 |
| Factorial | **O(N!)** | 3628800 | 9.3e+157 | 4.02e+2567 |
| Big O Notation | Type | Computations for 10 elements | Computations for 100 elements | Computations for 1000 elements |
| -------------- | ----------- | ---------------------------- | ----------------------------- | ------------------------------- |
| **O(1)** | Constant | 1 | 1 | 1 |
| **O(log N)** | Logarithmic | 3 | 6 | 9 |
| **O(N)** | Linear | 10 | 100 | 1000 |
| **O(N log N)** | n log(n) | 30 | 600 | 9000 |
| **O(N^2)** | Quadratic | 100 | 10000 | 1000000 |
| **O(2^N)** | Exponential | 1024 | 1.26e+29 | 1.07e+301 |
| **O(N!)** | Factorial | 3628800 | 9.3e+157 | 4.02e+2567 |
### Data Structure Operations Complexity