Finished Parts 1&2 for Big O exercises #22
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mmmaaatttttt
reviewed
Aug 1, 2017
| 5. `O(n + n + n + n)` --> O(n) | ||
| 6. `O(1000 * log(n) + n)` --> O(log(n)) | ||
| 7. `O(1000 * n * log(n) + n)` --> O(nlog(n)) | ||
| 8. `O(2^n + n^2)` --> O(n^2) |
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This one is O(2^n), since exponential growth is faster than quadratic growth. We didn't cover this in class though, so I wouldn't sweat this one too much!
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