Answers to Big O Exercises #20
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mmmaaatttttt
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Aug 1, 2017
| @@ -70,4 +109,6 @@ function subtotals(array) { | |||
| } | |||
| return subtotalArray; | |||
| } | |||
| Time: O(n) | |||
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double-check your time complexity here
| @@ -44,6 +79,8 @@ function logAtLeast10(n) { | |||
| console.log(i); | |||
| } | |||
| } | |||
| Time: O(n) if n > 10, O(1) if n < 10 | |||
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since big O notation only cares about sufficiently large values of n, it's fine to just say O(n) here.
| 7. `O(1000 * n * log(n) + n)` | ||
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| O(n) |
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double check this one.
| 8. `O(2^n + n^2)` | ||
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| O(n^2) |
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double check this one too (i recognize this one is a bit challenging, since we didn't explicitly talk about exponentials vs. quadratics in class)
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Here are my Big O answers, Teach(ers)...